JP7807790B2 - Working hours estimation device and working hours estimation program - Google Patents

Description

This disclosure relates to a work hour estimation device and a work hour estimation program.

Devices that manage the working hours of a subject are known. Such devices make it possible to manage the actual working hours of a subject, even when the subject works outside the office, for example, through telework. For example, Patent Document 1 discloses technology for managing the working hours of a telecommuter by having the subject enter their work status on an input screen displayed on a terminal.

Japanese Patent Application Laid-Open No. 2002-259646

The above-mentioned technology requires the subject to input the actual working hours. This means that, for example, the subject must input or record their work status every time they interrupt and resume work, which creates cumbersome work for the subject. There is also a risk that the subject may forget to input or record their work status, or may input or record it incorrectly.

Therefore, the work hour estimation device and work hour estimation program disclosed herein aim to more easily manage the work hours of subjects.

A work hour estimation device (1, 1A) according to one aspect of the present disclosure is a work hour estimation device (1, 1A) that estimates the work hours worked by a subject, and includes: an operation information acquisition unit (14) that acquires operation information regarding whether a target device (2, 2A) used by the subject to work is being operated; a target period division unit (12) that divides a target period for which it is to be estimated whether the subject is working into a plurality of time blocks (B) of predetermined time duration; a time block classification unit (15) that classifies each of the plurality of time blocks (B) into either an operation time block (BP) in which the target device (2, 2A) was operated or a non-operation time block (BA) in which the target device (2, 2A) was not operated, based on the operation information acquired by the operation information acquisition unit (14); and a work hour estimation unit (16) that estimates the work hours based on the number of operation time blocks, which is the number of time blocks (B) classified into operation time blocks (BP) by the time block classification unit (15), and the predetermined time.

A working hour estimation program (P) according to one aspect of the present disclosure is a working hour estimation program (P) that causes a computer (C) to function as a working hour estimation device (1, 1A) that estimates the working hours worked by a subject, and includes the computer (C) comprising: an operation information acquisition unit (14) that acquires operation information regarding whether or not a target device (2, 2A) used by the subject to work is being operated; a target period division unit (12) that divides a target period during which it is to be estimated whether or not the subject is working into a plurality of time blocks (B) of predetermined hours each; The device functions as a time block classification unit (15) that classifies each of the multiple time blocks (B) into either an operation time block (BP) in which the target device (2, 2A) was operated or a non-operation time block (BA) in which the target device (2, 2A) was not operated, based on the operation information acquired by the operation information acquisition unit (14), and a work time estimation unit (16) that estimates work time based on the number of operation time blocks, which is the number of time blocks (B) classified into operation time blocks (BP) by the time block classification unit (15), and a predetermined time.

With at least one of these work hour estimation devices (1, 1A) and work hour estimation programs (P), the target period for which it is intended to estimate whether a subject is working is divided into multiple time blocks of a predetermined length of time, and in each time block, it is determined whether the subject operated the target equipment (2, 2A) used by the subject to perform work. Then, for time blocks in which the target equipment (2, 2A) was operated, it is estimated that the subject was working. This prevents the subject from having to perform complicated tasks, and also prevents the subject from forgetting to input or record their work status, or from inputting or recording it incorrectly. This makes it possible to more easily manage the subject's work hours.

In a work hour estimation device (1, 1A) according to one aspect of the present disclosure, the work hour estimation unit (16) may estimate work hours based on a time calculated as the product of the number of operation time blocks and a predetermined time. This makes it possible to estimate the work hours of a subject through particularly simple processing.

A work hour estimation device (1, 1A) according to one aspect of the present disclosure includes an attribute information acquisition unit (13) that acquires attribute information related to the attributes of a subject, and a work hour estimation unit (16) may estimate work hours based on the number of operation time blocks, a predetermined time, and the attribute information. For example, depending on the subject's attributes, such as occupation or position, situations may arise in which the subject is working even when not operating the target device (2, 2A). Therefore, this makes it possible to more accurately estimate the subject's work hours by taking into account the frequency of occurrence of such situations for each attribute.

In a work hour estimation device (1, 1A) according to one aspect of the present disclosure, the work hour estimation unit (16) may estimate work hours based on a time calculated as the product of the number of operation time blocks, a predetermined time, and a coefficient set according to attributes. This makes it possible to estimate the work hours of a subject through particularly simple processing.

In a working hour estimation device (1, 1A) according to one aspect of the present disclosure, the operation information acquisition unit (14) may acquire operation information from the target device (2) via a network. This makes it possible to appropriately estimate the working hours of the subject, even if the subject works outside the office, for example, through telework, etc.

In a work hour estimation device (1, 1A) according to one aspect of the present disclosure, the operation information acquisition unit (14) may acquire operation information via a network from an operation detection device (3A) that detects whether the target device (2A) is being operated. This makes it possible to appropriately estimate the work hours of a subject person even when a general-purpose device is used as the target device (2A).

In a work hour estimation device (1, 1A) according to one aspect of the present disclosure, the target device (2, 2A) may be a device for inputting information into a terminal used by the subject to perform work. This makes it possible to appropriately distinguish whether or not the subject is in a situation where it should be estimated that he or she is working.

In a working hour estimation device (1, 1A) according to one aspect of the present disclosure, the target device (2, 2A) may include at least one of a mouse and a keyboard. This specifically realizes the configuration of the working hour estimation device (1, 1A) according to the present disclosure.

The work hour estimation device (1, 1A) according to one aspect of the present disclosure may include a target period setting unit (10) that accepts the setting of a target period. This makes it possible to set the times when a target person starts and ends work.

A work hour estimation device (1, 1A) according to one aspect of the present disclosure may include a time block setting unit (11) that accepts the setting of a predetermined time. Accordingly, for example, the shorter the predetermined time is set, the more accurately it becomes possible to estimate whether or not the subject is working. On the other hand, for example, the longer the predetermined time is set, the less frequent the processing becomes, making it possible to estimate the subject's work hours through simpler processing.

The working hour estimation device (1, 1A) according to one aspect of the present disclosure may include a working hour aggregation unit (17) that generates subject working hour information that aggregates the working hours estimated by the working hour estimation unit (16) for each subject. This makes it possible to manage the total working hours for each subject.

Note that the reference numerals in parentheses above indicate the reference numerals of components in the embodiments described below as an example of the present disclosure, and do not limit the present disclosure to the aspects of the embodiments.

In this way, the work hour estimation device and work hour estimation program disclosed herein can more easily manage the work hours of subjects.

FIG. 1 is a block diagram showing a working hour estimation device according to the first embodiment. FIG. 2 is a diagram showing an example of a plurality of time blocks each divided into either an operation time block or a non-operation time block. FIG. 3 is a flowchart showing the flow of the work hour estimation process. FIG. 4 is a block diagram showing the module configuration of the work hour estimation program. FIG. 5 is a block diagram showing a working hour estimation device according to the second embodiment.

An exemplary embodiment will now be described with reference to the drawings. Note that identical or equivalent parts in each drawing will be designated by the same reference numerals, and duplicate explanations will be omitted.

[First embodiment]
[Overall configuration]
FIG. 1 is a block diagram showing a working time estimation device 1 according to a first embodiment. FIG. 2 is a diagram showing an example of a plurality of time blocks B, each divided into either an operation time block BP or a non-operation time block BA. The working time estimation device 1 shown in FIGS. 1 and 2 is a device that estimates working hours performed by a subject. Specifically, the working time estimation device 1 manages working hours (operating hours) actually performed by a subject in a location other than a regular office, for example, through telework. Note that the working time estimation device 1 may also manage working hours actually performed by a subject in a regular office, rather than through telework.

A "subject" is a person whose working hours are managed by the working hour estimation device 1. The subject may be, for example, an employee of a company. "Work" is the job assigned to the subject. Work is performed using the target device 2, which will be described later. "Working hours" is the time the subject actually worked (or the time it is estimated that the subject actually worked).

"Telework" refers to work performed in a location other than a regular office. Telework may be work performed, for example, at the subject's home. In other words, in this case, the subject may be working from home. Telework may also be work performed in a facility such as a coffee shop, on a train or other means of transportation, or outdoors such as a park. Telework may also be referred to as remote work, for example.

In the following explanation, as an example, we will assume that a subject who is an employee of a company performs work assigned by the company at the subject's home. Here, the subject is in charge of accounting, and his working hours are from 9:00 to 18:00 (excluding a break from 12:00 to 13:00). Note that the working hour estimation device 1 may also be used in other situations.

The working hour estimation device 1 is configured as a computer C (server) capable of communicating with the target equipment 2 via a network. Physically, the working hour estimation device 1 comprises a control and arithmetic unit, a storage device, and an input/output device. The control and arithmetic unit is configured with a controller such as a CPU (Central Processing Unit), and executes arithmetic processing while controlling the storage device and input/output device. The storage device comprises, for example, a main storage device and an auxiliary storage device. The main storage device comprises, for example, RAM (Random Access Memory). The auxiliary storage device comprises, for example, ROM (Read Only Memory). The input/output device comprises, for example, an input device that receives data from the outside and sends it to the storage device, and an output device that outputs the results of calculations performed by the control and arithmetic unit and stored in the storage device. The input/output device also comprises a communication device that sends and receives information to external devices.

The working hour estimation device 1 performs predetermined processing, for example, by loading a program stored in ROM into RAM and executing the program loaded into RAM with a CPU. Specifically, the working hour estimation device 1 loads a working hour estimation program P stored in ROM into RAM and executes the working hour estimation program P loaded into RAM with a CPU, thereby performing the working hour estimation process described below. Note that the computer C that constitutes the working hour estimation device 1 may have a physical configuration different from that described above.

Target device 2 is a device used to input information into a terminal (business terminal) used by the subject person to perform work, and specifically includes at least one of a mouse and a keyboard. A "business terminal" may be, for example, a laptop or desktop computer, and is assumed to be a laptop here. The business terminal may be owned by the subject person, or may be loaned to the subject by a company or other entity. There may be multiple target devices 2 for one subject person; in this case, there are three target devices 2.

The target device 2 is configured to be able to communicate with the working hour estimation device 1 via the network. In other words, the target device 2 is configured so that the target device 2 itself can access the network. The target device 2 detects whether the target device 2 is being operated. More specifically, the target device 2 is equipped with an operation detection unit 20 that detects whether the target device 2 is being operated. The operation detection unit 20 may be any of a variety of sensors that detect that the target device 2 has been operated. The target device 2 generates operation information based on the detection results by the operation detection unit 20. "Operation information" is information regarding whether the target device 2 is being operated. The target device 2 transmits the generated operation information to the working hour estimation device 1.

Next, we will explain the functions of the work hour estimation device 1. Functionally, the work hour estimation device 1 includes a target period setting unit 10, a time block setting unit 11, a target period division unit 12, an attribute information acquisition unit 13, an operation information acquisition unit 14, a time block classification unit 15, a work hour estimation unit 16, and a work hour aggregation unit 17.

The target period setting unit 10 accepts the setting of a target period. The "target period" is the period during which it is intended to estimate whether the subject is working, and may be the period from the start time to the end time of work-related tasks. The target period setting unit 10 may accept a setting for the target period input by the subject themselves or by a manager who manages the subject's working hours. The target period setting unit 10 may also accept a setting for a predetermined target period. Here, the target period setting unit 10 accepts a setting for the target period from 9:00 to 18:00 (excluding the break time from 12:00 to 13:00).

The time block setting unit 11 accepts the setting of a specified time. The "specified time" is the length of each time block B when dividing the target period into time blocks B. The time block setting unit 11 may accept a setting of a specified time input by the target person themselves or by an administrator who manages the target person's working hours. The time block setting unit 11 may also accept a setting of a predetermined specified time. Here, the time block setting unit 11 accepts a setting of 5 minutes as the specified time.

The target period division unit 12 divides the target period into multiple time blocks B, each of which is a predetermined length of time. A time block B is each period into which the target period is divided by a predetermined length of time. The first time block B begins when work-related tasks begin, and the second time block B begins when the first time block B ends. Thereafter, the next time block B begins each time a time block B ends, and this process is repeated until the final time block B ends when work-related tasks end.

The attribute information acquisition unit 13 acquires attribute information. "Attribute information" is information related to the attributes of the subject. Attributes may include the subject's occupation or position. The attribute information acquisition unit 13 may acquire attribute information entered by the subject themselves or by a manager who manages the subject's working hours. In this example, the attribute information acquisition unit 13 acquires attribute information indicating that the subject is in charge of accounting.

The operation information acquisition unit 14 acquires operation information regarding whether or not the target device 2 used by the subject to perform work is being operated. Specifically, the operation information acquisition unit 14 acquires operation information from the target device 2 via a network. The operation information acquisition unit 14 acquires the operation information by linking it to time information. In other words, the operation information acquisition unit 14 acquires operation information regarding whether or not the target device 2 is being operated at each time.

The time block classification unit 15 classifies each time block B into either an operation time block BP or a non-operation time block BA based on the operation information acquired by the operation information acquisition unit 14. An "operation time block" is a time block B in which the target device 2 is operated within that time block B. On the other hand, a "non-operation time block" is a time block B in which the target device 2 is not operated within that time block B. In Figure 2, the one hour from 10:00 to 11:00 is divided into 12 time blocks B, each consisting of five minutes, with the time blocks B marked with a circle being the operation time block BP and the time blocks B marked with a cross being the non-operation time block BA.

The work time estimation unit 16 estimates work time based on the number of operation time blocks and a predetermined time. The "number of operation time blocks" is the number of time blocks B separated into operation time blocks BP by the time block separation unit 15.

More specifically, the work time estimation unit 16 estimates work hours based on the number of operation time blocks, the predetermined time, and attribute information. For example, the work time estimation unit 16 estimates work hours based on the time calculated as the product of the number of operation time blocks, the predetermined time, and a coefficient set according to the attribute. In Figure 2, the operation time block BP for the one hour from 10:00 to 11:00 is set to 6, corresponding to the number of circles in the figure. The predetermined time is 5 minutes. The "coefficient" is a weighting coefficient that takes into account, for each attribute, the frequency with which a situation occurs in which work is being performed while not operating the target device 2. For example, the coefficient is set to 1.2 for an accountant, 2.0 for a general affairs manager, 4.0 for a logistics manager, 2.5 for a sales manager, etc. In this example, since the subject is an accountant, the coefficient applied to that subject is 1.2. Based on the above, the work time estimation unit 16 estimates the subject's work time for the one hour from 10:00 to 11:00 to be 36 minutes, using the number of operation time blocks (6) x the predetermined time (5 minutes) x the coefficient (1.2). Note that if the time calculated as the product of the number of operation time blocks, the predetermined time, and a coefficient set according to the attributes exceeds the target period, it may be estimated that the subject worked for the entire target period (i.e., the working hours may be estimated to be the same as the entire target period). The working hour estimation unit 16 may output information related to the estimated working hours to the outside.

The work time aggregation unit 17 generates subject work time information based on the work hours estimated by the work time estimation unit 16. "Subject work time information" is information that aggregates the work hours estimated by the work time estimation unit 16 for each subject. More specifically, subject work time information is information that aggregates the work hours for a certain subject over, for example, multiple days. Specifically, subject work time information may be information that lists the work hours for each day over a specified period such as one month or one year, or may be information that sums up the work hours for each day over a specified period such as one month or one year. The work time aggregation unit 17 may output the generated subject work time information to an external device.

[Working hours estimation process]
A description will be given of the working hour estimation process executed by the working hour estimation device 1. Fig. 3 is a flowchart showing the flow of the working hour estimation process. The working hour estimation process is a process for estimating the working hours worked by a subject.

In step S10, the target period setting unit 10 of the working hour estimation device 1 accepts the setting of the target period. The target period setting unit 10 may accept the setting of the target period input by the subject person themselves or by an administrator who manages the subject person's working hours. The working hour estimation process then proceeds to step S12.

In step S12, the time block setting unit 11 of the work hour estimation device 1 accepts the setting of a predetermined time. The time block setting unit 11 may accept a setting of a predetermined time input by the subject himself/herself or by an administrator who manages the subject's work hours. The work hour estimation process then proceeds to step S14.

In step S14, the target period division unit 12 of the work hour estimation device 1 divides the target period into multiple time blocks B, each of which is a predetermined length of time. The work hour estimation process then proceeds to step S16.

In step S16, the attribute information acquisition unit 13 of the working hour estimation device 1 acquires the attribute information of the subject. The attribute information acquisition unit 13 may acquire attribute information entered by the subject himself/herself or by an administrator who manages the subject's working hours. The working hour estimation process then proceeds to step S18.

In step S18, the operation information acquisition unit 14 of the work hour estimation device 1 acquires operation information. Specifically, the operation information acquisition unit 14 acquires operation information from the target device 2 via the network. The operation information acquisition unit 14 acquires the operation information in association with time information. After that, the work hour estimation process proceeds to step S20.

In step S20, the time block classification unit 15 of the work hour estimation device 1 classifies each time block B into either an operation time block BP or a non-operation time block BA based on the operation information acquired by the operation information acquisition unit 14. Then, the work hour estimation process proceeds to step S22.

In step S22, the work time estimation unit 16 of the work time estimation device 1 estimates work hours based on the number of operation time blocks, the predetermined time, and the attribute information. For example, the work time estimation unit 16 estimates work hours based on the time calculated as the product of the number of operation time blocks, the predetermined time, and a coefficient set according to the attributes. Note that if the time calculated as the product of the number of operation time blocks, the predetermined time, and a coefficient set according to the attributes exceeds the target period, it may be estimated that the subject worked for the entire target period (i.e., the work hours may be estimated to be the same as the entire target period). Then, the work time estimation process proceeds to step S24.

In step S24, the work time aggregation unit 17 of the work time estimation device 1 generates subject work time information based on the work hours estimated by the work time estimation unit 16. This completes the work time estimation process.

[Working hours estimation program]
The working time estimation program P will now be described. FIG. 4 is a block diagram showing the module configuration of the working time estimation program P. The working time estimation program P shown in FIG. 4 is a program that causes a computer C to function as a working time estimation device 1 that estimates the working hours worked by a subject. The working time estimation program P includes a main module MM, a target period setting module M10, a time block setting module M11, a target period division module M12, an attribute information acquisition module M13, an operation information acquisition module M14, a time block classification module M15, a working time estimation module M16, and a working time aggregation module M17.

The main module MM is the part that controls the computer C overall. The functions realized by executing the target period setting module M10, time block setting module M11, target period division module M12, attribute information acquisition module M13, operation information acquisition module M14, time block classification module M15, work time estimation module M16, and work time aggregation module M17 are similar to the functions of the target period setting unit 10, time block setting unit 11, target period division unit 12, attribute information acquisition unit 13, operation information acquisition unit 14, time block classification unit 15, work time estimation unit 16, and work time aggregation unit 17, respectively. Note that the work time estimation program P may not include some or all of the above-mentioned modules other than the main module MM, target period division module M12, operation information acquisition module M14, time block classification module M15, and work time estimation module M16.

[Action and effect]
As described above, the working time estimation device 1 is a working time estimation device 1 that estimates the working hours during which a subject has worked, and includes: an operation information acquisition unit 14 that acquires operation information regarding whether the target device 2 used by the subject to work is being operated; a target period division unit 12 that divides a target period during which it is to be estimated whether the subject is working into a plurality of time blocks B of predetermined time each; a time block classification unit 15 that classifies each of the plurality of time blocks B into either an operation time block BP in which the target device 2 was operated or a non-operation time block BA in which the target device 2 was not operated, based on the operation information acquired by the operation information acquisition unit 14; and a working time estimation unit 16 that estimates the working hours based on the number of operation time blocks, which is the number of time blocks B classified into operation time blocks BP by the time block classification unit 15, and the predetermined time.

The work hour estimation program P causes a computer C to function as a work hour estimation device 1 that estimates the work hours worked by a subject. The program causes the computer C to function as an operation information acquisition unit 14 that acquires operation information regarding whether a target device 2 used by the subject to work is being operated; a target period division unit 12 that divides a target period for which it is to be estimated whether the subject is working into a plurality of time blocks B of predetermined durations; a time block classification unit 15 that classifies each of the plurality of time blocks B into either an operation time block BP in which the target device 2 was operated or a non-operation time block BA in which the target device 2 was not operated, based on the operation information acquired by the operation information acquisition unit 14; and a work hour estimation unit 16 that estimates work hours based on the number of operation time blocks, which is the number of time blocks B classified into operation time blocks BP by the time block classification unit 15, and the predetermined duration.

Using at least one of the work hour estimation device 1 and the work hour estimation program P, the target period for which it is intended to estimate whether the subject is working is divided into multiple time blocks of a predetermined length of time, and in each time block, it is determined whether the subject operated the target device 2 used to work. It is then estimated that the subject was working for the time block in which the target device 2 was operated. This prevents the subject from having to perform complicated tasks, and also prevents the subject from forgetting to input or record their work status, or from inputting or recording it incorrectly. This makes it easier to manage the subject's work hours.

In the work hour estimation device 1, the work hour estimation unit 16 estimates work hours based on the time calculated as the product of the number of operation time blocks and a predetermined time. This makes it possible to estimate the work hours of a subject through particularly simple processing.

The working hour estimation device 1 includes an attribute information acquisition unit 13 that acquires attribute information related to the attributes of the subject, and a working hour estimation unit 16 that estimates working hours based on the number of operation time blocks, a predetermined time, and the attribute information. For example, depending on the subject's attributes, such as occupation or position, situations may arise in which the subject is working even when not operating the target device 2. Therefore, by taking into account the frequency of occurrence of such situations for each attribute, it is possible to more accurately estimate the subject's working hours.

In the work hour estimation device 1, the work hour estimation unit 16 estimates work hours based on the time calculated as the product of the number of operation time blocks, a predetermined time, and a coefficient set according to attributes. This makes it possible to estimate the work hours of a subject using particularly simple processing.

In the working hour estimation device 1, the operation information acquisition unit 14 acquires operation information from the target device 2 via a network. This makes it possible to appropriately estimate the working hours of the subject even if the subject works outside the office, for example, through telework.

In the working time estimation device 1, the target device 2 is a device for inputting information into a terminal used by the subject person to perform work. This makes it possible to appropriately distinguish whether or not the subject person is in a situation where they should be estimated to be working.

In the work hour estimation device 1, the target device 2 includes at least one of a mouse and a keyboard. This specifically realizes the configuration of the work hour estimation device 1 disclosed herein.

The work hour estimation device 1 is equipped with a target period setting unit 10 that accepts the setting of a target period. This makes it possible to set the times when a target person starts and ends work.

The work hour estimation device 1 is equipped with a time block setting unit 11 that accepts the setting of a predetermined time. This allows, for example, the shorter the predetermined time is set, the more accurately it becomes possible to estimate whether or not the subject is working. On the other hand, for example, the longer the predetermined time is set, the less processing frequency is required, making it possible to estimate the subject's work hours through simpler processing.

The working hour estimation device 1 is equipped with a working hour aggregation unit 17 that generates subject working hour information that aggregates the working hours estimated by the working hour estimation unit 16 for each subject. This makes it possible to manage the total working hours for each subject.

Second Embodiment
A working hour estimation device 1A according to the second embodiment will now be described. Fig. 5 is a block diagram showing the working hour estimation device 1A according to the second embodiment. As shown in Fig. 5, the working hour estimation device 1A according to the second embodiment differs from the working hour estimation device 1 according to the first embodiment mainly in terms of the equipment that transmits the operation information acquired by the operation information acquisition unit 14, but is otherwise common.

Unlike the target device 2 according to the first embodiment, the target device 2A according to the second embodiment is not configured to be able to communicate with the working hour estimation device 1 via a network. In other words, the target device 2A itself is not configured to be able to access a network. Furthermore, the target device 2A does not detect whether the target device 2A is being operated. More specifically, the target device 2A does not have an operation detection unit 20 that detects whether the target device 2A is being operated. Therefore, the target device 2A does not generate operation information based on the detection results of the operation detection unit 20, and therefore does not transmit the generated operation information to the working hour estimation device 1. Note that although the target device 2A is equipped with an operation detection unit 20, it may be configured not to use the functions of the operation detection unit 20.

The target device 2A is connected to an operation detection device 3A. The operation detection device 3A is configured to be able to communicate with the working hour estimation device 1A via the network. In other words, the operation detection device 3A itself is configured to be able to access the network. The operation detection device 3A detects whether the target device 2A is being operated. The operation detection device 3A may be any of a variety of sensors that detect that the target device 2A has been operated, or may be a device that acquires a signal output from the target device 2A in response to the operation of the target device 2A. The operation detection device 3A generates operation information based on the detection results of the operation detection device 3A. The operation detection device 3A transmits the generated operation information to the working hour estimation device 1A. As a result, the operation information acquisition unit 14 of the working hour estimation device 1A acquires operation information via the network from the operation detection device 3A, which detects whether the target device 2A is being operated.

As described above, in the work hour estimation device 1A, the operation information acquisition unit 14 acquires operation information via a network from the operation detection device 3A, which detects whether the target device 2A is being operated. This makes it possible to appropriately estimate the work hours of a subject person even when a general-purpose device is used as the target device 2A.

[Variations]
The above-described embodiments can be implemented in various forms with modifications or improvements made based on the knowledge of those skilled in the art.

For example, at least a portion of the configuration included in each of the above-described embodiments may be combined with at least a portion of the configuration of another embodiment.

Furthermore, in each of the above-described embodiments, the work hour estimation unit 16 estimates the time calculated as the product of the number of operation time blocks, a predetermined time, and a coefficient set according to the attributes as the work hours of the subject. However, the work hour estimation unit 16 may simply estimate the work hours based on the time calculated as the product of the number of operation time blocks, a predetermined time, and a coefficient set according to the attributes. For example, the work hour of the subject may be estimated as the sum of the product of the number of operation time blocks, a predetermined time, and a coefficient set according to the attributes plus a predetermined time (or the difference minus the predetermined time).

In addition, in each of the above-described embodiments, the work time estimation unit 16 estimates the work hours of the subject based on the time calculated as the product of the number of operation time blocks, the predetermined time, and a coefficient set according to the subject's attributes. However, the work time estimation unit 16 may estimate the work hours without relying on the subject's attributes. That is, the work time estimation unit 16 may estimate the work hours of the subject based on the time calculated as the product of the number of operation time blocks and the predetermined time (and not based on the subject's attributes). Specifically, the work time estimation unit 16 may estimate the work hours of the subject based on the time calculated as the product of the number of operation time blocks and the predetermined time. More specifically, the work time estimation unit 16 may estimate the time calculated as the product of the number of operation time blocks and the predetermined time as the subject's work hours. Alternatively, the work time estimation unit 16 may estimate the work hours of the subject based on the sum of the product of the number of operation time blocks and the predetermined time and a predetermined time (or the difference obtained by subtracting the predetermined time).

Reference Signs List 1, 1A Working time estimation device 2, 2A Target device 3A Operation detection device 10 Target period setting unit 11 Time block setting unit 12 Target period division unit 13 Attribute information acquisition unit 14 Operation information acquisition unit 15 Time block classification unit 16 Working time estimation unit 17 Working time aggregation unit 20 Operation detection unit B Time block BA Non-operation time block BP Operation time block C Computer P Working time estimation program

Claims (10)

A working time estimation device that estimates working hours performed by a subject,
an operation information acquisition unit that acquires operation information regarding whether or not the target equipment used by the subject to perform the work is being operated;
a target period division unit that divides a target period for which it is intended to estimate whether the subject is performing the work into a plurality of time blocks each having a predetermined length of time;
a time block classification unit that classifies each of the plurality of time blocks into an operation time block in which the target device is operated or a non-operation time block in which the target device is not operated, based on the operation information acquired by the operation information acquisition unit;
a work time estimation unit that estimates the work time based on the number of operation time blocks, which is the number of the time blocks separated into the operation time blocks by the time block separation unit, and the predetermined time;
an attribute information acquisition unit that acquires attribute information regarding the attributes of the subject;
Equipped with
The work time estimation unit estimates the work time based on a time calculated as a product of the number of operation time blocks, the predetermined time, and a coefficient set according to the attribute . The work hour estimation device according to claim 1 , wherein , when the time calculated as the product exceeds the target period, the work hour estimation unit estimates the work hours to be the same as the entire target period . The working time estimation device according to claim 1 , wherein the operation information acquisition unit acquires the operation information from the target device via a network . 4. The working hour estimation device according to claim 1 , wherein the operation information acquisition unit acquires the operation information via a network from an operation detection device that detects whether the target device is being operated . The working time estimation device according to any one of claims 1 to 4 , wherein the target device is a device for inputting information into a terminal used by the subject person to perform the work . The work hour estimation device according to claim 5 , wherein the target device includes at least one of a mouse and a keyboard . The working time estimation device according to claim 1 , further comprising a target period setting unit that accepts setting of the target period . The work hour estimation device according to claim 1 , further comprising a time block setting unit that accepts a setting of the predetermined time . The working time estimation device according to any one of claims 1 to 8, further comprising a working time aggregation unit that generates subject working time information that aggregates the working hours estimated by the working time estimation unit for each subject . A working hours estimation program that causes a computer to function as a working hours estimation device that estimates the working hours worked by a subject,
The computer
an operation information acquisition unit that acquires operation information regarding whether or not the target equipment used by the subject to perform the work is being operated;
a target period division unit that divides a target period for which it is intended to estimate whether the subject is performing the work into a plurality of time blocks each having a predetermined length of time;
a time block classification unit that classifies each of the plurality of time blocks into an operation time block in which the target device is operated or a non-operation time block in which the target device is not operated, based on the operation information acquired by the operation information acquisition unit;
a work time estimation unit that estimates the work time based on the number of operation time blocks, which is the number of the time blocks separated into the operation time blocks by the time block separation unit, and the predetermined time;
an attribute information acquisition unit that acquires attribute information regarding the attributes of the subject;
It functions as
a work time estimation program, wherein the work time estimation unit estimates the work time based on a time calculated as a product of the number of operation time blocks, the predetermined time, and a coefficient set according to the attribute.