JP7471628B2 - Work analysis program, work analysis device, and work analysis system - Google Patents

Description

This disclosure relates to a business analysis program, a business analysis device having a business analysis program, and a business analysis system.

Japanese Patent Laid-Open No. 2003-233693 describes a device that records the content of a task, the time taken to perform the task, and the date and time of the task as an operation history.
Such a record of the operation history is recorded so that the user can refer to it after recording.

JP 2011-186933 A

However, the operation history recorded in conventional devices merely records the tasks performed in chronological order, and even if a user, etc. refers to the operation history after the task, it is difficult to specifically recognize the content of the task corresponding to the operation history. In addition, when trying to record the specific content of the task, it is time-consuming for the user, etc. to record it. Furthermore, when the specific content of the task is broken down into small pieces and simply displayed, the number of tasks increases if the user switches between multiple operations in a short period of time. For this reason, it becomes difficult for a user who reviews the record to recognize the content of the task that has been broken down into small pieces by time.

One aspect of the present disclosure is to make it easier to review work records and understand the specific contents written in the work records.

One aspect of the present disclosure is a task analysis program that causes a computer to function as follows: task calculation means for calculating a task time during which a task is performed by a user as task time, task time calculated for each application used in the task as application task time, and task time calculated for each active window displayed by executing an application and used in the task as active window task time; table creation means for creating a task table showing at least one of the application task time during the set time slot and the active window task time during the set time slot based on the task time calculated for the set time slot by the task calculation means; graph creation means for creating a task graph showing at least one of the application task time during the set time slot and the active window task time during the set time slot based on the task time calculated for the set time slot by the task calculation means; and display control means for displaying at least one of the task graph and task table.

According to this configuration, a work table and a work graph are displayed by a display control means provided in the task analysis program. The work time displayed in the work table and the work graph is calculated as at least one of the application work time calculated for each application and the active window work time calculated for each active window during a set time period. Therefore, the displayed work table and work graph make it easier to grasp the specific work content.

In one aspect of the present disclosure, the work calculation means may calculate the active window work time for at least one of the file name, the website name, and the website address shown in the active window. The table creation means may create a work table showing the active window work time in the set time period. The graph creation means may create a work graph showing the active window work time in the set time period.

With this configuration, the active window work time in the set time period is calculated for at least one of the file name, website name, and website address indicated by the active window. Therefore, the active window work time in the set time period for at least one of the file name, website name, and website address indicated by the active window can be displayed in the work table and work graph, making it easier to grasp the work content more specifically.

One aspect of the present disclosure may further include a task calculation means for calculating a task time ratio by taking an arrangement of multiple set time periods as an overall time period and using the task time in the overall time period as a standard, as the ratio of task time in the set time period. At least one of the task table and the task graph may include task time ratio information.

With this configuration, the work time ratio represents the ratio of work time in a set time period to the work time in the entire time period, so it is possible to evaluate what proportion of the work time was spent in each set time period out of the entire time period.

One aspect of the present disclosure may further function as a concentration calculation means for calculating a work concentration including at least one of an application concentration and an active window concentration, with the amount of work per unit time being defined as a work concentration, the work concentration for each application being defined as an application concentration, and the work concentration for each active window being defined as an active window concentration.

According to this configuration, the amount of work per unit time can be evaluated using the work concentration.
In one aspect of the present disclosure, a set of multiple set time periods is defined as a total time period, and the concentration calculation means may be configured to detect as an abnormal value those working concentration values in each of the multiple set time periods that satisfy a detection condition, which is a predetermined condition.

With this configuration, if the work concentration value satisfies a predetermined condition, it is detected as an abnormal value, and the amount of work per unit time represented by the abnormal work concentration can be evaluated.

In one aspect of the present disclosure, the detection condition may be that the degree to which the work concentration value is away from the center of the distribution of work concentrations for the entire time period is greater than a predetermined threshold value.

According to this configuration, the amount of work per unit time can be evaluated by detecting an abnormal value of the work concentration that is greater than a predetermined threshold value.
In one aspect of the present disclosure, the detection condition may be that the value of the working concentration is greater than a set value that can be changed by an operation.

According to this configuration, whether or not to detect an abnormal value can be changed by changing the settings.
In one aspect of the present disclosure, the graph creation means may create a graph representing the working concentration.

According to this configuration, the work concentration can be evaluated using a graph showing the work concentration.
An aspect of the present disclosure is a task analysis device including an activity calculation unit, a table creation unit, a graph creation unit, and a display control unit. The activity calculation unit is configured to calculate an activity time in a set time period including at least one of an application activity time in a set time period having a predetermined length and an active window activity time in the set time period, where the activity time is a time during which an activity is performed by a user, the application activity time is a work time, and the active window activity time is a work time displayed by executing an application and calculated for each active window used in the activity is an active window activity time. The table creation unit is configured to create an activity table representing at least one of the application activity time in the set time period and the active window activity time in the set time period based on the calculation of the activity time in the set time period by the activity calculation unit. The graph creation unit is configured to create an activity graph representing at least one of the application activity time in the set time period and the active window activity time in the set time period based on the calculation of the activity time in the set time period by the activity calculation unit. The display control unit is configured to display at least one of the activity graph and the activity table.

According to this configuration, a work table and a work graph are displayed by a display control unit provided in the task analysis device. The work time displayed in the work table and the work graph is calculated as at least one of the application work time calculated for each application and the active window work time calculated for each active window during a set time period. Therefore, the displayed work table and work graph make it easier to grasp the specific work content.

One aspect of the present disclosure is a task analysis system including a plurality of devices, and includes a task calculation unit, a table creation unit, a graph creation unit, and a display control unit. The task calculation unit is configured to calculate a task time in a set time period including at least one of the application task time in a set time period having a predetermined length and the active window task time in the set time period, where the time spent on a task by a user is defined as task time, the task time calculated for each application used in the task is defined as application task time, and the task time displayed by executing an application and calculated for each active window used in the task is defined as active window task time. The table creation unit is configured to create a task table showing at least one of the application task time in the set time period and the active window task time in the set time period based on the calculation of the task time in the set time period by the task calculation unit. The graph creation unit is configured to create a task graph showing at least one of the application task time in the set time period and the active window task time in the set time period based on the calculation of the task time in the set time period by the task calculation unit. The display control unit is configured to display at least one of the task graph and the task table.

According to this configuration, a work table and a work graph are displayed by a display control unit provided in the task analysis system. The work time displayed in the work table and the work graph is calculated as at least one of the application work time calculated for each application and the active window work time calculated for each active window during a set time period. Therefore, the displayed work table and work graph make it easier to grasp the specific work content.

In one aspect of the present disclosure, the multiple devices may include a target device that is at least one device. The work calculation unit may be configured to calculate at least one of an application work time in a set time period and an active window work time in a set time period in the target device.

With this configuration, it is possible to calculate at least one of the application work time and the active window work time during a set time period on a target device equipped with a business analysis system.

One aspect of the present disclosure may further include a concentration calculation unit configured to calculate a work concentration including at least one of the application concentration and the active window concentration, where the amount of work per unit time is the work concentration, the work concentration for each application is the application concentration, and the work concentration for each active window is the active window concentration.

With this configuration, in the target device, the amount of work per unit time for each application can be defined as the application concentration, and the amount of work per unit time for each active window can be defined as the active window concentration, and at least one of the application concentration and the active window concentration can be calculated. This makes it possible to evaluate the amount of work per unit time based on at least one of the application concentration and the active window concentration calculated in the target device.

In one aspect of the present disclosure, the concentration calculation unit may be configured to detect, as an abnormal value, a working concentration value in the target device that satisfies a detection condition that is a predetermined condition.

With this configuration, the working concentration of the target device can be evaluated by detecting abnormal values that meet the detection conditions.

1 is a diagram showing a configuration of a business analysis system according to a first embodiment; 11 is a diagram illustrating an example of a work table in a daily report format created by a table creation unit. FIG. 13 is a diagram illustrating an example of a work table in a weekly report format created by a table creation unit. FIG. 13 is a diagram illustrating an example of a graph showing the transition of work time per hour along a time series, which is created by a graph creation unit; FIG. 13 is a diagram illustrating an example of a graph showing a transition of work concentration per hour along a time series, which is created by a graph creation unit. FIG. 13 is a diagram illustrating an example of a graph showing standardized coefficients of task densities for each active window, such as a file or a web page, created by a graph creation unit. FIG. 13 is a flowchart showing a task acquisition process. 11 is a flowchart showing a display control process. FIG. 13 is a diagram illustrating a configuration of a business analysis system according to a second embodiment.

[1. First embodiment]
[1-1. Configuration]
The task analysis system 1 of the first embodiment is used to perform task analysis for analyzing the content of a task performed by a user using a PC 100 .

As shown in FIG. 1, the business analysis system 1 of this embodiment will be described as an example including a personal computer 100 (hereinafter referred to as PC 100), a mouse 200, a keyboard 300, a display device 400, and a processing unit 10.

PC 100 is a commonly used personal computer. PC 100 is used to execute applications and to perform tasks such as creating, editing or viewing files, viewing websites, and inputting data to websites using the executed applications. Note that PC 100 is not limited to commonly used personal computers, and may be anything that can be the subject of business analysis, such as one used for work. Note that while one PC 100 is shown in FIG. 1, the number of PCs 100 provided in business analysis system 1 is not limited to one, and multiple PCs 100 may be provided.

The mouse 200, the keyboard 300, and the display device 400 are so-called peripheral devices of the PC 100, and are configured to be connectable to the PC 100. The connection between the PC 100 and the mouse 200, the keyboard 300, and the display device 400 may be a wired connection or a wireless connection. In FIG. 1, there is one PC 100, and one mouse 200, one keyboard 300, and one display device 400 are illustrated corresponding to the number of PCs 100, but the number of mice 200, keyboards 300, and display devices 400 is not limited to one each, and one PC 100 may be provided with multiple mice 200, keyboards 300, and display devices 400.

The mouse 200 and the keyboard 300 are each generally used by a user working on the PC 100 to perform input operations on the PC 100 .
The mouse 200 may be a mouse that can input to the PC 100 by performing a clicking operation of pressing a button or by sliding the mouse on the surface of a desk or the like, like a general mouse.

The keyboard 300 may be a keyboard that allows input to the PC 100 by pressing a plurality of keys provided thereon, similar to a general keyboard.
The display device 400 receives an output signal from the PC 100 and displays an image in response to the output signal from the PC 100. The display device 400 is a so-called general-purpose display. Note that the display device 400 is not limited to a general-purpose display, and may be any display device that can display an image in response to an output signal output from the PC 100. The display device 400 may be, for example, a projection device that displays an image on a wall, a screen, or the like.

The processing unit 10 includes, as functional components, a task acquisition unit 110, a task aggregation unit 115, a task recording unit 120, a task calculation unit 125, a table creation unit 130, a graph creation unit 135, and a display control unit 140. The processing unit 10 performs processing as each functional component by executing a task analysis program. The processing unit 10 may be configured as one PC, or may include multiple servers. Furthermore, the processing by the processing unit 10 may be performed based on the operation of a PC connected to the processing unit 10. Furthermore, although the PC 100 and the processing unit 10 are illustrated separately in FIG. 1, the PC 100 and the processing unit 10 may be configured as an integrated unit. When the PC 100 and the processing unit 10 are separate, the PC 100 and the processing unit 10 may be connected by communication, and when the PC 100 and the processing unit 10 are configured as an integrated unit, various information may be transmitted internally.

Furthermore, functions corresponding to the functional configuration of the processing unit 10 may be executed by operating the PC 100 using the mouse 200 or the keyboard 300. Data such as the results of execution may be transmitted and received between the processing unit 10 and the PC 100.

Furthermore, some or all of the functional components of the processing unit 10, namely the task acquisition unit 110, task tallying unit 115, task recording unit 120, task calculation unit 125, table creation unit 130, graph creation unit 135, and display control unit 140, may be provided as functional components by the PC 100 connected to the processing unit 10. For example, the functions of the task acquisition unit 110 and task tallying unit 115 may be provided by the PC 100, and the other functional components may be provided by the processing unit 10. In this case, the processing results of the task acquisition unit 110 and task tallying unit 115 may be transmitted to the processing unit 10 by communication.

The task acquisition unit 110 acquires log information. The log information here refers to task-related information that chronologically represents information on applications executed on the PC 100, information on active windows that are displayed, information on input operations using the mouse 200 and keyboard 300, and the like. The log information may be information recorded in the PC 100 as a so-called system log. Note that the log information is not limited to recorded information.

The application information may include information that can identify each application, such as the title of the application. Furthermore, the application information may include the time when the application started and ended execution.

The application title is not limited to being obtained from log information, and may be obtained, for example, from the window title of the active window. In other words, the application title corresponding to the window title of the active window may be obtained.

The active window here is the window that accepts input from the user and is the target of the user's operation. The window here refers to an area that is displayed as part of the display screen of the display device 400. In addition, the active window may be the window that is displayed in the foreground when multiple windows are displayed overlapping each other.

Furthermore, the information about the displayed active window included in the log information may include the time when the display of the active window started and ended.
When multiple windows are displayed and the active window is selected and switched from among the multiple windows, if the applications corresponding to each window are different, it may be determined that the active window being used for a task and the application corresponding to that active window are switched in response to the switching of the active window.

The information about the displayed active window included in the log information includes, for example, the name of the file represented by the active window, and if the active window displays a website, the name and URL of the website. URL here is an abbreviation for Uniform Resource Locator.

The information on the active window may be obtained, for example, from the window title of the active window. A window title refers to a title that indicates each window. However, the information on the active window is not limited to the above-mentioned file name, website name, or URL, and may be any information that corresponds to the active window.

Moreover, the information on operations using the mouse 200 and the keyboard 300 included in the log information will hereinafter also be referred to as a mouse operation log and a keyboard operation log, respectively.
Here, the mouse operation log may include information regarding click operations and movement operations performed in chronological order.

Specifically, the mouse operation log may include, in chronological order, information on the coordinates where the mouse 200 is located, and information input by click operations performed with the mouse 200. In addition, the mouse operation log may set consecutive operation log numbers in sequence each time a mouse click operation or movement operation is performed, and record the click operation or movement operation corresponding to each set operation log number. The mouse operation log may set an operation log number, for example, for each click (each time a click operation is performed) and each time a movement operation that moves an amount equal to or greater than a predetermined threshold is performed.

In addition, the information on the click operation corresponding to the operation log number may be, for example, information that distinguishes between right clicks and left clicks, or may be information that does not distinguish between right clicks and left clicks and simply indicates whether or not a click operation was performed.

The information on the movement operation corresponding to the operation log number may include information on the corresponding operation, for example, by an x coordinate representing the horizontal coordinate where the mouse 200 is located and a y coordinate representing the vertical coordinate. Note that the vertical direction here may represent, for example, the direction corresponding to the direction connecting the front and back when sliding the mouse 200, and the horizontal direction may represent, for example, the direction perpendicular to the vertical direction and the direction corresponding to the left and right direction when sliding the mouse 200 when operating it. The movement operation may be recorded, for example, by setting a predetermined position as the initial position and recording the relative position change based on the initial position.

Note that the movement using the mouse 200 may be recorded by updating the operation log number for each predetermined movement amount. That is, when the movement amount is large, in other words, when the predetermined movement amount is exceeded multiple times, the mouse operation log may be recorded by updating the operation log number multiple times corresponding to the movement operation each time the predetermined movement amount is exceeded. Here, the predetermined movement amount may correspond to the trajectory of the mouse pointer displayed on the display device 400 when the mouse 200 is moved. That is, when the mouse 200 is moved, the mouse pointer displayed on the screen of the display device 400 moves in response to the movement of the mouse 200. Here, the value corresponding to the number of times the mouse pointer is displayed on the trajectory of the mouse pointer moving on the screen of the display device 400 in accordance with the movement operation of the mouse 200 is also expressed as the number of mouse movements. Also, when the mouse pointer is not moved, for example, the number of mouse movements may not be added.

In the mouse operation log, the number of operation log numbers, i.e., the number of recorded mouse operations, may be the number of mouse strokes. In other words, the number of mouse strokes may be the sum of the number of mouse clicks and the number of mouse movements.

On the other hand, the number of mouse strokes is not limited to the sum of the number of mouse clicks and the number of mouse movements. For example, the number of mouse strokes may be calculated by separately calculating the number of mouse clicks and the number of mouse movements. The number of mouse strokes may also be calculated by multiplying the number of mouse clicks or the number of mouse movements by a coefficient.

The keyboard operation log records keyboard operations, which are input operations using the keyboard 300. Here, the keyboard operation includes operations of typing (stroking) the keyboard 300. In addition, the keyboard operation log may set consecutive operation log numbers in sequence each time a keystroke operation is performed on the keyboard 300, and record keystroke operations corresponding to each set operation log number. For example, the keyboard operation log may set an operation log number one by one each time a keystroke is performed. Note that the keyboard operation log is not limited to one in which an operation log number is set one by one each time a keystroke is performed. For example, in the case of inputting two or more keys simultaneously, such as inputting a so-called shortcut key, the simultaneously input operations may be recorded as operations corresponding to one operation log number. Whether or not a shortcut key is input may be determined to be a shortcut key input, for example, when a specific key such as a so-called control key, shift key, or function key is input and another key is input.

The record of the keystroke operation corresponding to the operation log number may, for example, record the contents of the keys entered by keystrokes without distinction, or may record the contents of the keys entered by each keystroke with distinction.

The task tallying unit 115 tallys up the log information acquired by the task acquisition unit 110. That is, the tallying up of log information here includes, for each executed application, a tally of tasks performed while that application was running. Furthermore, the tallying up of log information includes, for each active window, a tally of tasks performed while the active window was displayed. The tallying up is performed by adding up each of the targets. In the following, the tallying up of log information is also referred to as task information. Specifically, the tallying up of log information may include a tally of the number of mouse 200 clicks and mouse strokes, a tally of the number of keyboard 300 keystrokes, and a tally of task time.

Task time is the time during which the user performs a task. Note that task time may be calculated excluding time during which the user is not performing input operations, etc. In other words, the time during which either the mouse 200 or the keyboard 300 is being operated may be calculated as task time. Additionally, the time during which any application for performing a task is being executed may be calculated as task time. The applications for performing a task referred to here may exclude applications for controlling or monitoring the state of the PC 100, such as monitoring memory consumption, for example.

The work recording unit 120 records the work information collected by the work collection unit 115. The work information recorded by the work recording unit 120 may be recorded in a memory provided in the PC 100 or the like, or may be recorded in a server connected to the PC 100.

The work calculation unit 125 calculates the work time, work concentration, work time ratio, and standardization coefficient for the entire time period and each set time period based on the work information recorded by the work recording unit 120.

Here, the task aggregation unit 115 performs aggregation for each application and for each active window based on the log information, whereas the task calculation unit 125 performs calculations for each application and for each active window for the set time period and the entire time period.

In addition, the task calculation unit 125 may perform part of the processing as the task tallying unit 115 , and the task tallying unit 115 may perform part of the processing as the task calculation unit 125 .
Furthermore, the task calculation unit 125 calculates the task time, the task concentration, the standardization coefficient, and the task time ratio based on the data calculated for each set time period and the entire time period.

The set time period here refers to a time period that has a predetermined length. Furthermore, the length of the set time period may be changed depending on the length of the overall time period. The overall time period has a predetermined length that is equal to or greater than the set time period. Furthermore, the length of the overall time period may be an integer multiple of the length of the set time period.

Specifically, for example, if the length of the entire time period is eight hours, the length of the set time period may be one hour or two hours. Also, if the length of the entire time period is one week, the length of the set time period may be one day.

The set time period and the overall time period may be set so as to be changeable by the user, etc. Also, the set time period and the overall time period may be set separately. Also, when the length of the set time period is set, the length of the overall time period may be set so as to correspond to the length of the set time period. Conversely, when the length of the overall time period is set, the length of the set time period may be set so as to correspond to the length of the set time period.

The work calculation unit 125 calculates the time zone work time, application work time, file work time, and web work time as work times for the entire time zone and each set time zone.

The time period work time here refers to the work time calculated for the entire time period and each set time period. In other words, the time period work time is the sum of the user's work time for the entire time period and the sum of the user's work time for each set time period.

The application work time here is work time calculated for each application that the user is using for work during the entire time period and each set time period.
For example, when the same application is used multiple times during the entire time period and the same set time period, the application task time is calculated as the sum of the task times for each of the multiple times.

The file work time here refers to the work time for each file that the user is working on during the overall time period and each set time period. If the same file is used multiple times during the overall time period and the same set time period, the file work time is calculated as the total work time for each of the multiple times. The file name of the file that the user is working on may be obtained, for example, from the window title of the active window.

The web work time here refers to the work time for each web page when the user browses a web page using a web browser during the entire time period and each set time period. When the same web page is browsed multiple times during the entire time period and the same set time period, the total work time for each of the multiple browsing times is calculated as the web work time. In addition, the web work time may be determined by using the URL included in the window title of the active window to determine that web pages having the same URL are the same web page. In addition, the web work time may be determined by using the web title included in the window title of the active window to determine that web pages having the same web title are the same web page. In addition, the URL or the title of the web page may be obtained from the web browser and a device or a system on the network linked thereto. In addition, whether the active window displays a web page or a file may be determined based on whether the application used to display the active window is a web browser. In addition, the configuration for determining whether the active window displays a web page or a file may not be included.

Note that below, the work time calculated for each active window used for work, such as file work time and web work time, will also be referred to as active window work time.

The work calculation unit 125 calculates the work intensity for the entire time period and for each set time period. Work intensity is an index that increases as the amount of work performed by the user per unit time increases. Here, the unit time may be, for example, one second. Note that the unit time is not limited to one second, and may be anything that allows the amount of work per unit time to be evaluated.

The task concentration is calculated by dividing the normalized value by unit time, and may be, for example, the normalized number of mouse strokes divided by unit time.
The normalization here is expressed, for example, by the following equation (1).

Here, max and min are constants that are the maximum and minimum values after normalization, respectively. For example, max may be set to 100, and min to 1. The maximum and minimum values after normalization may be configured to be changeable by the user, etc. Furthermore, xmax refers to, for example, the maximum number of mouse strokes before normalization. Furthermore, xmin refers to, for example, the minimum number of mouse strokes before normalization. Note that xmax and xmin are not limited to the maximum and minimum number of mouse strokes before normalization.

Here, the number of mouse strokes after normalization can be expressed as the following formula (2).

Note that the work concentration is not limited to the normalized number of mouse strokes divided by unit time. For example, it may be the normalized number of mouse clicks or the normalized number of keyboard strokes divided by unit time, or the sum of the normalized number of mouse strokes and the normalized number of keyboard strokes divided by unit time.

Also, the normalized number of mouse clicks may be substituted with the normalized number of mouse strokes, as shown in equation (3) below.

Here, α in formula (3) is the ratio of the number of mouse clicks to the number of mouse strokes. α may be a value greater than 0 and less than or equal to 1. α may also be a preset value.

According to formula (3), the normalized click count and the normalized stroke count become the same value by transforming the formula. Therefore, the normalized click count and the normalized stroke count may be evaluated using the same value.

Here, the work calculation unit 125 calculates the work concentration for each set time period, application, file, or web page as time period concentration, application concentration, file concentration, and web page concentration, respectively. Specifically, for example, the application concentration is obtained by normalizing the work time for each application and dividing it by the unit time. Note that the maximum and minimum values of each parameter used during normalization may be the maximum and minimum values when the same application is executed. Furthermore, the maximum and minimum values of the parameters may be used when different applications are used, not limited to when the same application is used.

Incidentally, the working density calculated for each active window used in a work, such as the file density and the web density, will hereinafter also be referred to as the active window density.
Furthermore, the time period concentration, the file concentration, and the web page concentration may be calculated in a manner similar to that of calculating the application concentration.

The work calculation unit 125 calculates the standardization coefficient of the work concentration for the entire time period and each set time period. The standardization coefficient of the work concentration represents the degree of deviation from the average in the distribution of the work concentration.

The standardization coefficient is calculated using the following formula (4).

The work calculation unit 125 calculates standardization coefficients for the set time period, application, file, and web page as the time period standardization coefficient, application standardization coefficient, file standardization coefficient, and web page standardization coefficient, respectively.

In the following, the standardization coefficient calculated for each active window used in a task, such as the file standardization coefficient and the web page standardization coefficient, will also be referred to as the active window standardization coefficient.

The time zone standardization coefficient, application standardization coefficient, file standardization coefficient, and web page standardization coefficient are calculated by applying the time zone concentration, application concentration, file concentration, and web page concentration to formula (4).

The work calculation unit 125 calculates the work time ratio for the entire time period and each set time period. The work time ratio refers to the ratio of work time for each set time period based on the work time for the entire time period. Note that the calculation of the work time ratio for the entire time period may be omitted.

The task calculation unit 125 calculates the task time ratio for each set time period, application, file, or web page as a time period ratio, application ratio, file ratio, and web page ratio, respectively.

The time slot ratio is the ratio of work time in each set time slot based on the work time in the entire time slot. For example, if the work time in the entire time slot is 1 hour and the work time in a certain set time slot is 15 minutes, the time slot ratio is calculated as 25%.

The application ratio is the ratio of work time for each application. Specifically, the application ratio represents the ratio of work time using that application in each time period to the work time using that application in the entire time period. For example, if the entire time period is set to 8 hours and the user works using a specific application for 1 hour out of the 8 hours, working for 30 minutes between 9:00 and 10:00, 15 minutes between 11:00 and 12:00, and 15 minutes between 13:00 and 14:00, the application ratio between 9:00 and 10:00 is calculated to be 50%, the application ratio between 11:00 and 12:00 is calculated to be 25%, and the application ratio between 13:00 and 14:00 is calculated to be 25%.

The file ratio is the ratio of work time for each file. Specifically, the file ratio represents the ratio of work time using that file in each time period to the total work time using that file in the entire time period. For example, if the total time period is set to 8 hours and the user works on a specific file for 1 hour out of the 8 hours, working for 45 minutes between 9:00 and 10:00 and 15 minutes between 11:00 and 12:00, the file ratio between 9:00 and 10:00 is calculated to be 75%, and the file ratio between 11:00 and 12:00 is calculated to be 25%.

The web page ratio is the ratio of work time for each web page. Specifically, the web page ratio represents the ratio of work time using a particular web page in each time period to the total work time using that web page in the entire time period. For example, if the total time period is set to 8 hours and the user works on a particular web page for 1 hour out of the 8 hours, working for 15 minutes between 9:00 and 10:00 and 45 minutes between 11:00 and 12:00, the web page ratio between 9:00 and 10:00 is calculated to be 25%, and the web page ratio between 11:00 and 12:00 is calculated to be 75%.

Note that, below, the work time ratio calculated for each active window used for work, such as the file ratio and web page ratio, will also be referred to as the active window ratio.

The table creation unit 130 creates a work table as shown in FIG. 2 and FIG. 3, which shows the work concentration, the work time, and the work time ratio.
The work schedule shown in Fig. 2 is an example of a daily report format work schedule showing an eight-hour period as the overall time period. The work schedule shown in Fig. 3 is an example of a weekly report format work schedule showing a one-week period as the overall time period. Note that the overall time period of the daily report format work schedule is not limited to eight hours, and the overall time period of the weekly report format work schedule is not limited to one week. For example, the daily report format may be set to a 24-hour period as the overall time period, and the weekly report format may be set to a five-day period per week, such as business days, as the overall time period.

As shown in Figures 2 and 3, each column of the work sheet corresponds to the items of work content, work intensity, work time, and work time ratio. Note that the order of the items in the columns is not limited to the order shown in Figures 2 and 3.

The work content column contains information about the set time period, application name, file name, and web page name. The work concentration, work time, and work time ratio columns display information corresponding to the set time period, application name, file name, and web page name items contained in the work content column.

The rows of the work schedule are first divided into information for each set time period column Tm, which indicates a predetermined set time. Within the range divided into each set time period column Tm, rows in which the work content column indicates a set time period display, for example, the time period work time, time period concentration, and time period ratio corresponding to the set time period. Note that if there are periods in advance when no work will be performed, such as break times in a daily work schedule, or holidays in a weekly work schedule, the work schedule may be created excluding those periods.

The range defined by the set time zone column Tm is then divided by application column Ap for each application. In the row in which the task content column represents an application, the application task time, application concentration, and application ratio corresponding to that application are displayed. In other words, information for each application executed within the range defined by the set time represented by the set time zone column Tm is displayed.

The range divided by the application field Ap is further divided by an active window field Aw for each active window.
Furthermore, in the active window section Aw, the file work time, file concentration, and file ratio are displayed in the row in which the work content column represents a file, and the web page work time, web page concentration, and web page ratio are displayed in the active window section Aw, the row in which the work content column represents a web page.

In other words, during the set time period represented by the set time period column Tm, information corresponding to the active window, which is further separated by the active window column Aw, is displayed among the tasks performed using the application represented by the application column Ap.

As shown in FIG. 2 and FIG. 3, the set time zone column Tm, the application column Ap, and the active window column Aw may each be set to have a different display mode. For example, they may be highlighted to make them easier to distinguish. The set time zone column Tm, the application column Ap, and the active window column Aw may each be set to have a different display mode, such as the font of the characters displayed or the fill color of the worksheet background. The display mode may be changed depending on the size of the value displayed in each column. For example, values that are equal to or greater than a predetermined value may be highlighted in red, or values whose standardization coefficient is equal to or greater than a predetermined value may be highlighted in red.

In addition, the first row of the table may be configured such that a sort button A is placed in each cell, and the numerical values in the column corresponding to that cell are sorted in ascending or descending order by a click operation using the mouse 200, etc. The button placed in the first row of the table is not limited to the sort button A, and may be a button with various functions, such as a sort button that narrows down the data. In addition, the position where the sort button A is placed is not limited to the first row of the table, and may be changed in various ways.

The graph creation unit 135 creates a graph of the information calculated based on the work information. The graph shown in FIG. 4 is an example of a graph showing the work time for each hour. The graph shown in FIG. 5 is an example of a graph showing the work concentration for each hour. The work time for each hour is differentiated for each application. That is, for example, the data for 7:00-8:00 is represented by an integrated vertical bar graph that accumulates the work time of each application used in the work from 7:00 to 8:00. The integrated vertical bar graph is a bar graph accumulated in a display manner that allows each application to be distinguished. Specifically, the integrated bar graph is a bar graph in which the display manner, such as the fill color, is different for each type of application, and the length of each bar is represented corresponding to the data of the work time. Note that, although data for each hour is represented in FIG. 4 and FIG. 5, the data is not limited to data for each hour as long as it is in a chronological order, and may be, for example, every two hours. Also, the way in which each data is divided may be changed according to the overall time period set, and the number of hours for the data may be directly set.

Figure 6 is a bar graph showing the standardized coefficient of work intensity for each active window. This graph showing the standardized coefficient of work intensity is created for each set time period, and displays the standardized coefficient of work intensity for the same file or web page corresponding to the active window in the set time period, based on the work intensity for the entire time period when the same file or web page corresponding to the active window is displayed. Note that the bar portion of the standardized coefficient graph may be displayed with different colors or textures depending on the type of application corresponding to each file or web page.

The display control unit 140 controls the display on the display device 400. Specifically, it displays the work table and work graph created by the table creation unit 130 and graph creation unit 135 as shown in Figures 4 to 6. The work table and work graph displayed by the display control unit 140 may be configured so that the display contents can be switched by user input operations using the mouse 200 and keyboard 300, etc. Furthermore, when the work table and work graph are displayed simultaneously, it is preferable that the contents of the displayed work table and work graph correspond to each other.

[1-2. Processing]
<Work acquisition process>
Next, the task acquisition process executed by the processing unit 10 as the task acquisition unit 110, the task tallying unit 115, and the task recording unit 120 will be described with reference to the flowchart in Fig. 7. The task acquisition process may be started at various times. For example, the task acquisition process may be started when software corresponding to the task acquisition process is executed. The task acquisition process may also be started when the active window used for the task is changed in the PC 100. The task acquisition process may also be started when the power of the PC 100 and the processing unit 10 is turned on.

In the case where the PC 100 and the processing unit 10 are configured as separate entities, when the PC 100 operates the processing unit 10 to execute software corresponding to the task acquisition process, the processing unit 10 may acquire the operation via communication or the like and start the process. Also, when the active window used for the task is changed in the PC 100, that information may be sent to the processing unit 10, and the processing unit 10 may receive that information and start the process. Also, the PC 100 may send information to the processing unit 10 that the power has been turned on, and start the process.

The work acquisition process executed by the work acquisition unit 110, the work aggregation unit 115, and the work recording unit 120 may be realized by processing within the PC 100 and the processing unit 10 when the PC 100 and the processing unit 10 are configured as an integrated unit.

Furthermore, in the case where the PC 100 has the task acquisition unit 110, the task tallying unit 115, and the task recording unit 120 as functional components, the PC 100 may execute these units.
In S110, the task acquisition unit 110 acquires information about the task of the changed active window from the PC 100. That is, for example, when the active window is switched from one window AwA to another window AwB, or when the window AwA that was displayed as the active window is closed, the task acquisition unit 110 acquires information about the task of the window AwA that was the active window.

In S120, the task tallying unit 115 tallyes up the task-related information acquired in S110.
In S130, the work recording unit 120 records the information collected in S120 as work information, and ends the work acquisition process.

<Display control process>
Next, the display control process executed by the processing unit 10 as the task calculation unit 125, the table creation unit 130, the graph creation unit 135, and the display control unit 140 will be described with reference to the flowchart of FIG. 8. The display control process may be started, for example, at the timing when a user operates the task calculation unit 125 to perform calculation, the table creation unit 130 to create a table, and the graph creation unit 135 to create a graph on predetermined software. The timing at which the display control process is started is not limited to the timing when the user operates the task, and may be executed, for example, at the timing when a certain time has elapsed since the task acquisition process was started, or at a predetermined time. The predetermined time may also be executed on the hour, such as 7:00 or 8:00.

When the PC 100 and the processing unit 10 are configured as an integrated unit, the display control processing executed by the task calculation unit 125, the table creation unit 130, the graph creation unit 135, and the display control unit 140 may be realized by processing within the PC 100 and the processing unit 10.

In addition, if the PC 100 has the functional configuration of display control processing executed by the task calculation unit 125, table creation unit 130, graph creation unit 135, and display control unit 140, the processing may be executed by the PC 100.

In S210, the work calculation unit 125 acquires selection information representing the target information to be displayed. For example, the selection information may be obtained by prompting the user to input information to select the target information, and acquiring the input information as the selection information. An example of the selection information may be information representing which of a work table or work graph representing the work time, work concentration, work time ratio, and standardization coefficient is to be displayed. The selection information may also include information representing which of the set time periods, the overall time period and multiple set time periods, is to be displayed. Furthermore, when there are multiple work tables and multiple work graphs, the selection information may include information representing the selection of which of them is to be displayed. The selection information may also include information on the length of the set time period set by the user, etc.

At S220, the work calculation unit 125 reads out work information corresponding to the selection information acquired at S210 from the work information recorded at S130 of the work acquisition process. The work information corresponding to the selection information read out here may include, in addition to the target information itself, information necessary for calculating the target information. That is, if the target information is information that has already been compiled as work information, the work information itself may be read out, and if the target information is information calculated using already compiled work information, the information necessary for the calculation may be read out.

In S230, the work calculation unit 125 calculates the work time, work concentration, work time ratio, and standardization coefficient for the entire time period and each set time period corresponding to the selection information as target information based on the selection information acquired in S210 and the work information read out in S220.

In S240, the table creation unit 130 creates a work table corresponding to the target information calculated in S230.
In S250, the graph creation unit 135 creates a working graph corresponding to the target information calculated in S230.

In S260, the display control unit 140 displays on the display device 400 the work table created in S240 and the work graph created in S250, which represent the target information corresponding to the selection information acquired in S210. It is preferable that the displayed work table and work graph represent corresponding content. In addition, it is not limited to displaying both the work table and the work graph, and it is also possible to display either the work table or the work graph.

<Explanation of the overall process>
The overall flow of processing performed by the processing unit 10 as a result of the task acquisition unit 110, task aggregation unit 115, task recording unit 120, task calculation unit 125, table creation unit 130, graph creation unit 135, and display control unit 140 executing each process will be described below.

First, a user performs work using PC 100. At this time, an application used for the work is executed, and a window is displayed. Here, an example will be described in which the active window is switched in the order of window AwA, window AwB, and window AwC as a result of the application being executed.

When the display of window AwA as the active window ends, in other words, when the active window is no longer window AwA, the processing unit 10 executes task acquisition process Pa for the task using window AwA. Similarly, when the active window is no longer window AwB and when the active window is no longer window AwC, the processing unit 10 executes task acquisition process Pb and task acquisition process Pc, respectively.

The processing unit 10 calculates the working concentration and the standardization coefficient at a calculation timing, which is a predetermined timing. The calculation timing here may be set repeatedly at a predetermined cycle. For example, the calculation timing may be set to a timing when parameters that allow the working concentration and the standardization coefficient to be calculated are available. The calculation timing may also be set to a timing when a user operates a PC connected to the processing unit 10 to calculate the working concentration and the standardization coefficient. In this case, the parameters required for the calculation may be set by the user at the timing when the calculation is operated. Furthermore, the calculation timing may be set to the same cycle as the set time period, and may be performed at the timing of the boundary of the set time period.

Then, when the processing unit 10 calculates the working concentration and the standardization coefficient, it creates a working table, creates a working graph, and displays the created working table and working graph, respectively.
The calculation of the working concentration and standardization coefficient performed by the processing unit 10, the creation of the work table and work graph, and the display of the created work table and work graph may be performed at the time when the user performs an operation to display the work table and work graph.

Although an example has been given in which the processing unit 10 executes each process, the PC 100 may execute a part or all of each process performed by the processing unit 10 .
[1-3. Effects]
According to the first embodiment described above in detail, the following effects are achieved.

(1) According to the first embodiment, the work table that is created is divided into set time periods as shown in Figures 4 and 5, and during each set time period, active windows corresponding to the applications, files, or web pages used in the work are displayed.

This makes it easy to grasp the active windows corresponding to the applications, files, or web pages used in the work during each set time period.
(2) According to the first embodiment, the application work time, which is the work time for each application used in the work, and the active window work time, which is the work time for each active window representing a file or web page used in the work during a set time period, are displayed in the work table created, separated by set time periods. This makes it possible to grasp the application work time, which is the work time for each application, and the active window work time, which is the work time for each active window during each set time period.

(3) Furthermore, according to the first embodiment, the work table created displays application work concentration, which is the amount of work per unit time for each application used in work during the set time period, and active window work concentration, which is the amount of work per unit time for each active window used in work during the set time period. This makes it possible to grasp the amount of work per unit time performed using an application and the amount of work per unit time for each active window during the set time period.

(4) According to the first embodiment, the work concentration can be displayed as a graph for each set time period, as shown in FIG. 5. This makes it possible to confirm the magnitude of the work concentration in each set time period. This makes it possible to evaluate the amount of work per unit time in each time period.

(5) According to the first embodiment, a graph of the standardization coefficient of work concentration is displayed as shown in FIG. 6. This graph of the standardization coefficient of work concentration is created for each set time period, and displays the standardization coefficient of the work concentration of a file or web page in the set time period, based on the work concentration in the entire time period when the same file or web page is displayed. The standardization coefficient of work concentration indicates the degree of deviation from the center of the distribution of work concentration in the entire time period. Therefore, it is possible to evaluate the degree to which the work concentration in the set time period deviates from the work concentration in the entire time period.

(6) According to the first embodiment, the file name or web page name is obtained from the window title, and the application name is obtained from the system file of the PC 100. This eliminates the need for the user of the PC 100 to keep detailed records, and allows the user to keep a record of their work.

(7) According to the first embodiment, in the display control process, a work table and a work graph corresponding to the work table are displayed in the display of corresponding information. This makes it easier for the user to visualize the work content in detail by referring to numerical data such as work time and work concentration and a graph based on the numerical data.

[1-4. Modification of the first embodiment]
(1) In the first embodiment, the mouse 200 and the keyboard 300 are used as input interfaces to the PC 100. However, the input interface to the PC 100 is not limited to such interfaces, and any interface capable of inputting data to the PC 100 may be used. Furthermore, it is preferable that the input interface be one in which the amount of operation increases according to the amount of work.

The input interface may include, for example, a numeric keypad that is connected to the PC 100 and is used for inputting numbers.
(2) Furthermore, input and output to and from the PC 100 are performed via peripheral devices connected to the PC 100, such as the mouse 200, the keyboard 300, and the display device 400. However, input and output to and from the PC 100 is not limited to input and output using the mouse 200, the keyboard 300, and the display device 400. For example, instead of a general mouse such as the mouse 200, a touch panel or a touch pad may be used.

In addition, the peripheral devices that perform input and output to the PC 100 are not limited to those connected to the PC 100, but may be input/output interfaces that are used integrally with the PC 100. That is, the input interface that is used integrally with the PC 100 may be, for example, a touch panel or touch pad that is configured integrally with the PC 100. In addition, the output interface that is used integrally with the PC 100 may be, for example, a display screen that is configured integrally with the PC 100.

Furthermore, in a configuration using a touch panel or a touch pad, touch operations such as tapping and flicking using the touch panel or the touch pad may be acquired. That is, the number of touch strokes equivalent to the number of mouse strokes may be calculated based on the touch operations. The number of touch strokes may be calculated instead of the number of mouse strokes, or the number of touch strokes may be calculated in addition to the number of mouse strokes.

(3) In the first embodiment, the graph shown in FIG. 4 is an integrated vertical bar graph, but the graph showing the working time is not limited to an integrated vertical bar graph. For example, it may be a vertical bar graph, a horizontal bar graph, or a line graph, and may be displayed in various display formats.

In the first embodiment, the graph showing the work time is displayed separately for each application used in the work. However, the graph showing the work time is not limited to being displayed separately for each application. For example, the graph showing the work time may be displayed without distinguishing between applications. Also, the graph showing the work time may be displayed separately for each active window.

(4) In the first embodiment, the file name or web page name is obtained by obtaining the window title. However, when obtaining the file name or web page name, it is not necessary to obtain all of the file names or web page names obtained as window titles. For example, if the window title represents an application, file, or web page that does not involve work, it is not necessary to obtain it. A window title that does not involve work is, for example, one that indicates the progress of an internal process of PC 100, such as "Processing," "Uploading," or "Downloading." By preventing window titles that do not involve work from being obtained in advance in this way, it is possible to prevent work information for the application, file, or web page that does not involve work from being displayed in the work table and work graph.

In addition, even if a window title has been acquired, if the application name has not been acquired, the window title may not be acquired as a file name or web page name. Furthermore, the window title of a window with zero keyboard or mouse strokes may not be acquired as a file name or web page name. In addition, the window title of a window with a working time of less than a predetermined time may not be acquired as a file name or web page name.

In this way, applications, files, or web pages that do not involve work are prevented from being displayed, and applications, files, or web pages that involve work are displayed, making it easier to review work.

(5) In the above embodiment, the number of mouse strokes and the number of keyboard strokes are calculated without distinguishing between types of files, web pages, or applications in calculating the work concentration. However, the number of mouse strokes and the number of keyboard strokes may be multiplied by a coefficient corresponding to each type of file, web page, or application to calculate the work concentration. Here, the coefficient corresponding to each type of file, web page, or application may be changed depending on the type of input device operated using the file, web page, or application.

(6) In the above embodiment, the processing unit 10 includes, as its functional configuration, a task acquisition unit 110, a task aggregation unit 115, a task recording unit 120, a task calculation unit 125, a table creation unit 130, a graph creation unit 135, and a display control unit 140. However, the functional configuration of the processing unit 10 does not need to include all of the above. A server or the like provided separately from the processing unit 10 may have some or all of the functional configuration. If a server has some or all of the functional configuration, the server may be configured to be shared by multiple PCs.

(7) In the above embodiment, the log information includes a mouse operation log and a keyboard operation log. However, the mouse operation log and the keyboard operation log may be recorded separately.
In addition, log information indicating the application and the active window may also be recorded separately.

In addition, the present invention is not limited to a log that is recorded every time a mouse operation and a keyboard operation are performed. In this case, the operation does not have to be recorded every time it is performed, and may be recorded periodically at a predetermined time. The length of the recording time period is not particularly limited as long as it is long enough to detect the content of the operation. When operations are recorded periodically at a predetermined time, the number of mouse clicks, mouse strokes, and keyboard strokes may be calculated by obtaining the operation corresponding to the record from the recorded log.

(8) In the first embodiment, the file name, web page name, and application name are displayed in the work table and work graph, but this is not limited to the configuration. The file name, web page name, and application name may be displayed in a substituted manner.

In addition, the content of the operation is determined from the window title, but this is not limited to the window title. For example, the extension of the file being executed may be obtained from the system log, and the content of the operation may be determined from the obtained extension.

(9) In the first embodiment, the PC 100 included in the task analysis system 1 is a commonly used personal computer, but the device included in the task analysis system 1 is not limited to a personal computer. The device included in the task analysis system 1 may be, for example, a tablet or a smartphone.

(10) In the first embodiment, a standardization coefficient for the work concentration is calculated. Here, a value of the standardization coefficient for the work concentration equal to or greater than a threshold value may be detected as an abnormal value. The standardization coefficient for the work concentration represents the degree of deviation from the center of the distribution of the work concentration in the entire time period, and thus the work concentration can be evaluated by detecting an abnormal value. Specifically, by extracting the work concentration in each set time period that deviates by more than the threshold value using the work concentration in the entire time period as a standard, it is possible to determine whether the work concentration is significantly higher or lower than the work in the entire time period.

(11) The threshold value for detecting abnormal values may be a setting value that is set so as to be changeable by a user who executes the task analysis program.
(12) Furthermore, the detection of abnormal values is not limited to the condition that the value of the standardization coefficient of the working concentration is equal to or greater than a threshold value. Values that deviate greatly from the center of the various distributions may be detected as abnormal values.

(13) In addition, in a graph showing the standardized coefficients, data that meets the conditions for being an abnormal value may be highlighted, making it easier to visually recognize the abnormal value.
(14) In the first embodiment, the standardization coefficient is calculated as the standardization coefficient of the work concentration. However, the standardization coefficient is not limited to the work concentration. Specifically, the standardization coefficient of the work time may be calculated. Here, the index for which the standardization coefficient is calculated is preferably one that is useful for the user's review by determining whether it deviates from the average of the distribution. In addition, the index for which the standardization coefficient is calculated may be an index that is evaluated well when it is higher than the average, or may be an index that is evaluated well when it is lower than the average.

(15) In the first embodiment, the work concentration, work time, and work time ratio are displayed in the work table, but the contents displayed in the work table are not limited to this information. The contents displayed in the work table may include, for example, information on standardization coefficients. Similarly, the work time ratio may be displayed in the work graph.

(16) In the first embodiment, the task concentration is calculated by dividing the normalized value by unit time. However, the task concentration is not limited to dividing the normalized value by unit time. For example, the task concentration may be calculated by dividing the number of mouse strokes, the number of keyboard strokes, or the sum of these by unit time without normalization.

[2. Second embodiment]
[2-1. Configuration]
The task analysis system 2 of the second embodiment is used to perform task analysis of a plurality of PCs 100 .

The second embodiment of the business analysis system 2 will be described by applying it to an example in which a plurality of PCs 100 are connected to the processing unit 10 via a network, as shown in FIG. 9. Each of the plurality of PCs 100 is configured to be connected to a mouse 200, a keyboard 300, and a display device 400, as in the first embodiment. In FIG. 9, the mouse 200, the keyboard 300, and the display device 400 connected to each of the plurality of PCs 100 are omitted. In the following, when the plurality of PCs 100 are to be distinguished from each other, the plurality of PCs 100 will be referred to as PC 100a, PC 100b, PC 100c, and PC 100d, respectively. In this embodiment, the present invention will be described by applying it to an example in which, of the plurality of PCs 100, PC 100a is used to perform business analysis based on the work information of PC 100a and the other PCs 100, that is, PC 100b, PC 100c, and PC 100d. In the following, the user of PC 100a will also be referred to as a manager. In FIG. 9, the business analysis system 2 includes four PCs 100, but the number of PCs 100 is not limited to four and may be more than four or less than four.

The basic configuration of the processing unit 10 is similar to that of the processing unit 10 in the first embodiment.
The task calculation unit 125 of the second embodiment acquires task information of at least one of the PCs 100a, 100b, 100c, and 100d connected to the processing unit 10 via a network. The task calculation unit 125 may acquire task information by receiving information transmitted by an operation of the PC 100 that records the task information to be acquired, or the task information may be acquired by operating the PC 100 that records the task information. A group to which at least one PC 100 belongs may be set in advance, and the task information of the PCs 100 that belong to the group may be acquired by selecting the set group. The task information may be acquired from all of the PCs 100 connected to the same network connected to the processing unit 10.

The task calculation unit 125 also acquires selection information representing the target information to be displayed. Here, the selection information may be the same as the selection information described in the first embodiment. The selection information may also include information representing the target information of PC 100a, PC 100b, PC 100c, and PC 100d that are further connected to the processing unit 10 via a network.

The work calculation unit 125 calculates the target information. For example, the work calculation unit 125 calculates the work concentration and standardization coefficient of the target device using the work information of at least one of the multiple PCs 100 as a population. The population may be configured to be configurable by a manager or the like. The population may also be grouped in advance to correspond to the department in which each PC 100 is located. The calculation of the work concentration and standardization coefficient of the PC 100 is similar to that in the first embodiment, but in the second embodiment, work information of multiple PCs 100 may be used.

The table creation unit 130 creates a work table based on the calculation results from the work calculation unit 125. The work table created here is similar to the work table shown in Figures 2 and 3 of the first embodiment, but in the second embodiment, the target information and population information may be calculated including information from multiple PCs 100a, 100b, 100c, and 100d.

The graph creation unit 135 creates a work graph based on the calculation results in the work calculation unit 125. The work graph created here is similar to the work graphs shown in Figures 4 to 6 of the first embodiment, but differs in that the target information and population information may include information from one PC 100 or from multiple PCs 100a, 100b, 100c, and 100d. For example, the bar graph showing the standardization coefficient for each file in the first embodiment is a bar graph of the standardization coefficient calculated based on the work information in PC 100, while the bar graph showing the standardization coefficient for each file in the second embodiment may represent the standardization coefficient calculated based on the work information of multiple PCs 100a, 100b, 100c, and 100d.

The display control unit 140 controls the display device 400 to display the work table and work graph created by the table creation unit 130 and the graph creation unit 135, in addition to the work table and work graph created by the table creation unit 130 and the graph creation unit 135. The display control unit 140 may be configured to be able to switch between displaying the work table and work graph created by the table creation unit 130 and the graph creation unit 135, in addition to the work table and work graph created by the table creation unit 130 and the graph creation unit 135. The switching operation may be performed by an input operation by the manager.

[2-2. Action]
<Work acquisition process>
The start timing of the process executed by the processing unit 10 may be the same as that in the first embodiment. In addition, although the first embodiment mainly shows an example in which there is one PC 100, the present invention may be applied to a case in which there are multiple PCs 100. In the above, the processing may be started when an operation is performed by any one of the plurality of PCs 100 to start the processing by the processing unit 10 .

The processing units 10 included in the task analysis system 2 each perform a task acquisition process. That is, the processing units 10 included in the task analysis system 2 each acquire, tally, and record task information. The task acquisition process executed by the processing unit 10 included in the task analysis system 2 in the second embodiment differs in that the number of target PCs 100 to be acquired may be multiple, but is similar to the task acquisition procedure executed by the processing unit 10 included in the task analysis system 1 in the first embodiment, and therefore a description thereof will be omitted.

<Display control process>
The display control process in the second embodiment is basically the same as that in the first embodiment, so it will be described using the flowchart shown in FIG. 8, and differences from the first embodiment will be particularly described.

The display control process is started, for example, when the processing unit 10 acquires an operation to perform display control processing from a manager who is one of the users of the PC 100. Note that the display control process is not limited to being started when the processing unit 10 acquires an operation to perform display control processing performed by a manager. For example, the display control process may be executed when a certain amount of time has elapsed since the start of the task acquisition process, or may be executed at a predetermined time. The predetermined time may also be executed when the hour is reached, such as 7:00 or 8:00.

In S210, the work calculation unit 125 acquires selection information corresponding to the target information to be displayed. The selection information may be acquired by the work calculation unit 125 through an operation by the manager. The selection information may also include a selection of multiple PCs 100 connected to the processing unit 10 via a network. The selection information may also include information on at least one PC 100 that is to be used as a population. The selection information may also include a selection of which set time period information is to be displayed, between the entire time period and multiple set time periods. Furthermore, the target information may not be the work information of the target device itself, but may include a work concentration, a work time ratio, and a standardization coefficient that are calculated based on the work information.

At S220, the work calculation unit 125 acquires work information corresponding to the selection information acquired at S210 from the work information recorded at S130 of the work acquisition process. For example, if the PC 100b represented by the selection information is the target device, the work information of the PC 100b may be acquired. Note that acquisition of work information of target devices such as PC 100b is not limited to reading out information recorded in each PC 100, and may be acquired by the processing unit 10 by a method such as transmission and reception.

In S230, the work calculation unit 125 calculates the work time, work intensity, work time ratio, and standardization coefficient for the entire time period and each set time period based on the information on the entire time period acquired in S210 and the work information read out in S220. Note that the work calculation unit 125 does not need to calculate all of the work time, work intensity, and standardization coefficient. The work calculation unit 125 may calculate, for example, the work time ratio of PC 100b in the set time period.

In S240, the table creation unit 130 creates a work table that represents target information corresponding to the selected information acquired in S210 based on the work time, work concentration, work time ratio, and standardization coefficient for the overall time period and each set time period calculated in S230.

In S250, the graph creation unit 135 creates a work graph that shows the target information corresponding to the selected information acquired in S210 based on the work time, work concentration, work time ratio, and standardization coefficient for the overall time period and each set time period calculated in S230.

In S260, the display control unit 140 displays the work table created in S240 and the acquired work graph created in S250 on the display device 400. Note that it is preferable that the displayed work table and work graph represent corresponding contents. In addition, it is not limited to displaying both the work table and the work graph, and it is also possible to display either the work table or the work graph.

[2-3. Effects]
According to the second embodiment described above in detail, in addition to the effects of the first embodiment, the following effects are achieved.

(1) According to the second embodiment, the standardization coefficient of the work concentration of a plurality of PCs 100 is calculated as a population, and the magnitude of variation with respect to the average, in other words, whether the work concentration of the users of the PCs 100 is close to the average in the population, can be determined. This can be used, for example, as follows. That is, if the standardization coefficient is large, it means that it deviates significantly from the population average. Therefore, it can be determined whether it is close to the average. In addition, when a group of a plurality of PCs 100 is compared with the whole group including the group of the plurality of PCs 100, the characteristics of each group can be determined by determining whether the standardization coefficient for each group is large. As a result, for example, if the standardization coefficient of the work concentration of the target group is large, it can be determined that it deviates from the overall average.

[2-4. Modification of the second embodiment]
(1) In the second embodiment, the processing unit 10 calculates the task time, task concentration, and task ratio based on task information of the PCs 100a, 100b, 100c, and 100d on the same network. However, the calculation of the task time, task concentration, and task ratio is not limited to being performed by the processing unit 10, and when each of the PCs 100a, 100b, 100c, and 100d can calculate the task time, task concentration, and task ratio, the processing unit 10 may obtain the calculated task time, task concentration, and task ratio.

(2) Each of PC 100a, PC 100b, PC 100c, and PC 100d may not have the same functional configuration as PC 100. For example, PC 100a may have the same functional configuration as PC 100, and the other PCs 100b, PC 100c, and PC 100d may have a part of the functional configuration of PC 100.

(3) Also, a server may have some or all of the configuration of the PC 100, and the server and each PC 100 may be connected via a network. For example, the work itself may be executed by each PC 100, and the server may perform work acquisition processing and display control processing, acquire information about the work of each PC 100, compile the work information, create a work table and work graph, and control the display on the display device 400 equipped with each PC 100.

(4) In the second embodiment, the threshold value for detecting abnormal values may be a setting value that is set so as to be changeable by a user who executes the task analysis program. Here, in the second embodiment, the change of the setting value is not limited to being made by a user, but may also be made by a manager who operates PC 100a.

3. Other embodiments
Although the embodiments of the present disclosure have been described above, the present disclosure is not limited to the above-described embodiments and can be implemented in various modified forms.

(1) The PC, business analysis system, and method described in the present disclosure may be realized by a dedicated computer provided by configuring a processor and memory programmed to execute one or more functions embodied in a computer program. Alternatively, the PC, business analysis system, and method described in the present disclosure may be realized by a dedicated computer provided by configuring a processor with one or more dedicated hardware logic circuits. Alternatively, the PC, business analysis system, and method described in the present disclosure may be realized by one or more dedicated computers configured by combining a processor and memory programmed to execute one or more functions and a processor configured with one or more hardware logic circuits. In addition, the computer program may be recorded on a computer-readable non-transient tangible recording medium as instructions executed by a computer. The method for realizing the functions of each part included in the PC and business analysis system does not necessarily need to include software, and all of the functions may be realized using one or more hardware.

(2) Multiple functions possessed by one component in the above embodiments may be realized by multiple components, or one function possessed by one component may be realized by multiple components. Also, multiple functions possessed by multiple components may be realized by one component, or one function realized by multiple components may be realized by one component. Also, part of the configuration of the above embodiments may be omitted. Also, at least part of the configuration of the above embodiments may be added to or substituted for the configuration of another of the above embodiments.

(3) In addition to the above-mentioned PC and business analysis system, the present disclosure can also be realized in various forms, such as a system that includes the PC and business analysis system as components, a program for causing a computer to function as the PC or business analysis system, a non-transitive physical recording medium such as a semiconductor memory on which the program is recorded, and a business analysis method.

The task calculation unit 125 in the embodiment corresponds to an example of the task calculation means, task calculation unit, concentration calculation means, and concentration calculation unit in the claims, the table creation unit 130 in the embodiment corresponds to an example of the table creation means and table creation unit in the claims, the graph creation unit 135 in the embodiment corresponds to the configuration as the graph creation means and graph creation unit in the claims, and the display control unit 140 in the embodiment corresponds to the configuration as the display control means and display control unit in the claims.

1, 2...Business analysis system, 10...Processing section, 100, 100a, 100b, 100c, 100d...Personal computer (PC), 110...Task acquisition section, 115...Task tallying section, 120...Task recording section, 125...Task calculation section, 130...Table creation section, 135...Graph creation section, 140...Display control section, 200...Mouse, 300...Keyboard, 400...Display device, A...Sorting button, Ap...Application column, Aw...Active window column, AwA, AwB, AwC...Window, Pa, Pb, Pc...Task acquisition process, Tm...Set time zone column.

Claims (12)

Computer,
a task calculation means for calculating a task time during which a task is performed by a user, a task time calculated for each application used in the task, and an active window task time, the task time calculated for each active window that is displayed by executing the application and is used in the task, the task time during a set time period having a predetermined length including at least one of the application task time during the set time period and the active window task time during the set time period;
a table creation means for creating a work table showing at least one of the application work time in the set time period and the active window work time in the set time period based on the calculation of the work time in the set time period by the work calculation means;
a graph creation means for creating a task graph representing at least one of the application task time during the set time period and the active window task time during the set time period based on the task calculation means's calculation of the task time during the set time period;
a display control means for displaying at least one of the work graph and the work table,
The set time periods are arranged in a row to form a total time period.
the task calculation means calculates a ratio of the task time in the set time period as a task time ratio based on the task time in the entire time period;
A task analysis program , characterized in that at least one of the task table and the task graph contains information on the task time ratio. 2. The business analysis program according to claim 1,
the task calculation means calculates the active window task time for at least one of a file name, a website name, and a website address displayed in the active window;
the table creation means creates the work table representing the active window work time in the set time period,
The graph creation means creates the task graph representing the active window task time during the set time period. 3. The business analysis program according to claim 1 ,
The task analysis program further functions as a concentration calculation means for calculating the task concentration including at least one of the application concentration and the active window concentration, with the task concentration being defined as the amount of task per unit time, the task concentration for each of the applications being defined as an application concentration, and the task concentration for each of the active windows being defined as an active window concentration. 4. The business analysis program according to claim 3 ,
The set time periods are arranged in a row to form a total time period.
The concentration calculation means detects, as an abnormal value, a value of the task concentration in each of the plurality of set time periods that satisfies a detection condition, which is a predetermined condition. 5. The business analysis program according to claim 4 ,
The detection condition is that the degree to which the value of the task concentration is away from the center of the distribution of the task concentration in the entire time period is greater than a predetermined threshold value. 5. The business analysis program according to claim 4 ,
The task analysis program, wherein the detection condition is that the value of the task concentration is greater than a set value that can be changed by operation. A task analysis program according to any one of claims 3 to 6 ,
The graph creation means creates a graph representing the task concentration. a task calculation unit configured to calculate a time during which a task is performed by a user as a task time, the task time calculated for each application used in the task as an application task time, and the task time calculated for each active window used in the task that is displayed by executing the application as an active window task time, the task calculation unit configured to calculate the task time in a set time period including at least one of the application task time in a set time period having a predetermined length and the active window task time in the set time period;
a table creation unit configured to create a work table representing at least one of the application work time in the set time period and the active window work time in the set time period based on the calculation of the work time in the set time period by the work calculation unit; and
a graph creation unit configured to create a task graph representing at least one of the application task time during the set time period and the active window task time during the set time period based on the task calculation unit's calculation of the task time during the set time period; and
a display control unit configured to display at least one of the work graph and the work table;
The set time periods are arranged in a row to form a total time period.
the task calculation unit calculates a ratio of the task time in the set time period as a task time ratio based on the task time in the entire time period;
A task analysis device , characterized in that at least one of the task table and the task graph contains information on the task time ratio. A business analysis system including a plurality of devices,
a task calculation unit configured to calculate a time during which a task is performed by a user as a task time, the task time calculated for each application used in the task as an application task time, and the task time calculated for each active window used in the task that is displayed by executing the application as an active window task time, the task calculation unit configured to calculate the task time in a set time period including at least one of the application task time in a set time period having a predetermined length and the active window task time in the set time period;
a table creation unit configured to create a work table representing at least one of the application work time in the set time period and the active window work time in the set time period based on the calculation of the work time in the set time period by the work calculation unit; and
a graph creation unit configured to create a task graph representing at least one of the application task time during the set time period and the active window task time during the set time period based on the task calculation unit's calculation of the task time during the set time period; and
a display control unit configured to display at least one of the work graph and the work table;
The set time periods are arranged in a row to form a total time period.
the task calculation unit calculates a ratio of the task time in the set time period as a task time ratio based on the task time in the entire time period;
A task analysis system , characterized in that at least one of the task table and the task graph contains information on the task time ratio. The business analysis system according to claim 9 ,
the plurality of devices includes at least one target device;
The task calculation unit is configured to calculate, in the target device, at least one of the application task time in the set time period and the active window task time in the set time period. The business analysis system according to claim 10 ,
The work analysis system further includes a concentration calculation unit configured to calculate the work concentration including at least one of the application concentration and the active window concentration, where the amount of work per unit time is defined as a work concentration, the work concentration for each of the applications is defined as an application concentration, and the work concentration for each of the active windows is defined as an active window concentration. The business analysis system according to claim 11 ,
The concentration calculation unit is configured to detect, as an abnormal value, a value of the task concentration in the target device that satisfies a detection condition that is a predetermined condition.