JP6640018B2 - Judgment device and judgment system - Google Patents

Description

  The present invention relates to a technique for determining the proficiency of operation of a user device.

  2. Description of the Related Art A technique for determining the proficiency of operation of a user device is known. For example, Patent Literature 1 discloses a technique for estimating a degree of use (proficiency) of a user by using a device based on personal information (sex, age, favorite color, favorite character, and the like) of the user. .

JP 2006-127372 A

When the user's proficiency in operation of the user device is known, for example, a hint explaining a simple operation method is displayed for a user with low proficiency, and an advanced operation method is described for a user with high proficiency. It can be used to present useful information to the user, such as displaying a hint to perform. For that purpose, it is desirable that the user's proficiency is known with high accuracy.
Therefore, an object of the present invention is to determine the proficiency of a user's operation of a user device with higher accuracy.

In order to achieve the above object, the present invention provides an acquisition unit for acquiring an operation history of a user device in a determination period including a plurality of unit periods, and a representative value from a value for each unit period represented by the operation history of each unit period. An extraction unit for extracting the proficiency of the operation of the user device based on the extracted representative value, and an adjustment unit for adjusting the determination period according to the current proficiency. A determination device is provided.
Further, the present invention, an acquisition unit that acquires the operation history of the user device in the determination period including a plurality of unit periods, and an extraction unit that extracts a representative value from the value of each unit period represented by the operation history of each unit period A determining unit that determines the proficiency level of the operation of the user device based on the extracted representative value, and the determination period according to a period that has elapsed since the introduction of the application program that was the target of the operation represented by the operation history. And an adjustment unit that adjusts the threshold value.

Further, the present invention, an acquisition unit that acquires the operation history of the user device in the determination period including a plurality of unit periods, and an extraction unit that extracts a representative value from the value of each unit period represented by the operation history of each unit period A determination unit that determines the proficiency level of the operation of the user device based on the extracted representative value, and an adjustment unit that adjusts the determination period according to a period that has elapsed since the use of the user device was started. A determination device provided with:
Further, the present invention, an acquisition unit that acquires the operation history of the user device in the determination period including a plurality of unit periods, and an extraction unit that extracts a representative value from the value of each unit period represented by the operation history of each unit period A determination unit that determines a proficiency level of an operation of the user device based on the extracted representative value, and an adjustment unit that adjusts the determination period according to a type of the operation history.

Further, the present invention, an acquisition unit that acquires the operation history of the user device in the determination period including a plurality of unit periods, and an extraction unit that extracts a representative value from the value of each unit period represented by the operation history of each unit period A determination unit that determines a proficiency level of the operation of the user device based on the extracted representative value; and an adjustment unit that adjusts the determination period according to the current proficiency level.
Further, the present invention, an acquisition unit that acquires the operation history of the user device in the determination period including a plurality of unit periods, and an extraction unit that extracts a representative value from the value of each unit period represented by the operation history of each unit period A determining unit that determines the proficiency level of the operation of the user device based on the extracted representative value, and the determination period according to a period that has elapsed since the introduction of the application program that was the target of the operation represented by the operation history. And an adjustment unit that adjusts the threshold value.

Further, the present invention, an acquisition unit that acquires the operation history of the user device in the determination period including a plurality of unit periods, and an extraction unit that extracts a representative value from the value of each unit period represented by the operation history of each unit period A determination unit that determines the proficiency level of the operation of the user device based on the extracted representative value, and an adjustment unit that adjusts the determination period according to a period that has elapsed since the use of the user device was started. A determination system comprising:

Further, the present invention, an acquisition unit that acquires the operation history of the user device in the determination period including a plurality of unit periods, and an extraction unit that extracts a representative value from the value of each unit period represented by the operation history of each unit period A determination unit that determines a proficiency level of an operation of the user device based on the extracted representative value; and an adjustment unit that adjusts the determination period according to a type of the operation history.

  ADVANTAGE OF THE INVENTION According to this invention, the proficiency of a user's operation of a user device can be determined with higher precision.

FIG. 2 is a diagram illustrating a hardware configuration of a smartphone according to the first embodiment. FIG. 3 is a diagram illustrating a functional configuration realized in a first embodiment. Diagram showing an example of stored operation history A diagram showing an example of a value for each unit period represented by the operation history of each unit period Diagram showing an example of a formula for calculating a value representing proficiency Diagram showing an example of the proficiency level table Diagram showing an example of a hint table Diagram showing examples of displayed hints The figure showing an example of the operation procedure of each device in the determination processing and the display processing. The figure showing an example of the functional configuration of the second embodiment. Diagram showing an example of the adjustment method table The figure showing another example of the function structure of 2nd Example. Diagram showing an example of the adjustment method table The figure showing another example of the function structure of 2nd Example. Diagram showing an example of the adjustment method table The figure showing another example of the function structure of 2nd Example. Diagram showing an example of the adjustment method table The figure showing an example of the functional configuration of the third embodiment. Diagram showing an example of a representative value range table Diagram showing an example of the changing tendency of proficiency Diagram showing an example of a functional configuration of a modified example The figure showing the whole structure of the information processing system concerning a modification. Diagram showing hardware configuration of server device Diagram showing the functional configuration of the information processing system Diagram showing the functional configuration of the information processing system

  An object of the present invention is to provide a user using a user device such as a smartphone with a hint corresponding to the user's proficiency in operation of the user device (for example, represented as beginner / intermediate / advanced). Therefore, the user device can be used comfortably. Here, the hint is information indicating how to use the user device, for example, information indicating an operation method on a currently displayed screen, information indicating a recovery method from an error occurring in the user device, or the like. Hereinafter, the embodiment will be described.

[1] First Embodiment FIG. 1 shows a hardware configuration of a smartphone 10 according to a first embodiment. The smartphone 10 has a function of determining the proficiency of the operation of the own device and a function of displaying a hint according to the determined proficiency. The smartphone 10 includes a CPU (Central Processing Unit) 11, a RAM (Random Access Memory) 12, a ROM (Read Only Memory) 13, a wireless communication unit 14, a storage 15, a touch screen 16, a digital camera 17, , A GPS (Global Positioning System) module 18.

  The CPU 11 is a control device that controls the operation of each unit by executing a program stored in the ROM 13 or the storage 15 using the RAM 12 as a work area. The wireless communication unit 14 includes a communication circuit that performs wireless communication based on mobile communication and wireless communication based on a wireless LAN (Local Area Network), and communicates with an external device via the network 2. The storage 15 is a storage unit such as a flash memory, and stores data and programs used by the CPU 11 for control.

  The touch screen 16 includes a display as a display unit of the own device, and a touch panel provided on a surface of the display, and displays an image and receives an operation from a user. The digital camera 17 includes a lens, an image sensor, and the like, and captures a surrounding person or a scene represented by light incident from the lens. The GPS module 18 includes a sensor that measures its own position using a signal from a GPS satellite. The GPS module 18 supplies the CPU 11 with position data representing the measured position in latitude and longitude.

The functions described below are realized by the CPU 11 executing the programs and controlling each unit.
FIG. 2 shows a functional configuration realized in the first embodiment. The smartphone 10 includes an operation history storage unit 101, an operation history acquisition unit 102, a representative value extraction unit 103, a proficiency determination unit 104, a display trigger determination unit 105, and a hint display control unit 106. The CPU 11 that realizes these functions is an example of the “determination device” of the present invention.

  With these functions, the CPU 11 determines the proficiency of the user's operation of the user device based on the operation history in the determination period including a plurality of unit periods. In the following, simply referring to “proficiency level” or “operation proficiency level” means the proficiency level of the user's operation of the user device. In this embodiment, it is assumed that one user uses the user device. Further, in the present embodiment, the CPU 11 determines the proficiency level with one week as a unit period and four weeks including four consecutive unit periods as a determination period.

The operation history storage unit 101 stores an operation history of the user device (smartphone 10 in this embodiment) whose skill level is determined.
FIG. 3 shows an example of the stored operation history. In the example of FIG. 3, the operation history storage unit 101 stores “browser start operation”, “map application start operation”, “setting application start operation”, “camera start operation”, and “GPS enable / disable”. The operation date and time for the operation contents of "switching operation", "operation for changing sleep time", "operation for installing application", "operation for uninstalling application", "operation for changing screen brightness", ... They are stored in association with each other.

  The operation history storage unit 101 stores not only the application shown in FIG. 3 but also the operation date and time of an operation performed on the user device, such as a start operation of another application installed on the smartphone 10 or an operation of changing various settings of the user device. I remember. Every time these operations are performed on the smartphone 10, the operation history storage unit 101 stores the operation date and time in association with the operation contents. In this embodiment, the operation history storage unit 101 deletes the operation history when four weeks, which is the determination period, has elapsed since the operation history was stored. The deletion of the operation history is not limited to this, and may be performed at an appropriate timing in consideration of the storage capacity (for example, before an empty area is exhausted).

  The operation history acquisition unit 102 acquires the operation history of the user device in the determination period including a plurality of unit periods (four unit periods in this embodiment). The operation history acquisition unit 102 is an example of the “acquisition unit” of the present invention. The operation history obtaining unit 102 obtains an operation history at a timing at which, for example, a determination of an operation proficiency level is performed. The operation history acquisition unit 102 reads an operation history including the operation date and time from the current date and time to the date and time one week ago from the operation history storage unit 101, and acquires the operation history as the fourth week operation history.

  The operation history acquisition unit 102 similarly includes an operation history including the operation date and time from the date and time one week ago to the date and time two weeks ago, an operation history including the operation date and time from the date and time three weeks ago to the date and time three weeks ago, The operation history including the operation date and time from the date and time three weeks ago to the date and time four weeks ago is acquired as the operation histories of the third week, the second week, and the first week, respectively. The operation history obtaining unit 102 supplies the operation history in the determination period thus obtained to the representative value extracting unit 103.

  The representative value extracting unit 103 extracts a representative value from the value for each unit period represented by the operation history of each unit period based on the operation history acquired by the operation history acquiring unit 102. In this embodiment, the representative value extracting unit 103 extracts representative values represented by a plurality of types of operation histories. The representative value extracting unit 103 is an example of the “extracting unit” of the present invention. In the present embodiment, the values for each unit period represented by the operation history of each unit period are nine types of values including the number of times the browser has been started. The representative value extracting unit 103 calculates the nine values for each unit period (from the first week to the fourth week) based on the operation history of each unit period.

  FIG. 4 shows an example of a value for each unit period represented by the operation history of each unit period. In the example of FIG. 4, the representative value extraction unit 103 determines “the maximum number of browser activations per day”, “the presence / absence of map application activation”, “the maximum number of setting application activations per day”, and “camera activation”. “Presence / absence of GPS enable / disable”, “Sleep time change operation”, “Maximum number of installed apps”, “Maximum number of types of apps used per day”, “Screen brightness change” Nine types of values “operation presence / absence” are calculated.

  For example, in the case of “the maximum number of browser activations per day”, the representative value extracting unit 103 determines that the first week is “10”, the second week is “5”, the third week is “50”, and the fourth week is Calculates the value “15”. The representative value extraction unit 103 calculates these values by summing the number of operation dates and times associated with “browser activation operation” in the acquired operation history for each week from the first week to the fourth week. . The representative value extraction unit 103 similarly calculates “the maximum number of set application activations per day” and “the maximum number of application types used per day”.

  If “map application activation”, the representative value extraction unit 103 determines that the first week is “1”, the second week is “0”, the third week is “0”, and the fourth week is “0”. Is calculated. In the acquired operation history, the representative value extracting unit 103 sets the value of the week in which at least one operation date and time associated with the “map application activation operation” is “1”, and the value of the week without any operation is “0”. , To calculate these values. The representative value extraction unit 103 similarly calculates “presence / absence of activation of camera”, “presence / absence of switching between valid / invalid of GPS”, “presence / absence of operation for changing sleep time”, and “presence / absence of operation for changing screen brightness”.

  In the case of “the maximum number of installed applications”, the representative value extracting unit 103 first obtains an initial value (for example, set by the user) of the number of installed applications, and sets the initial value to one day of applications. By adding the number of installation operations for the same day and subtracting the number of application uninstallation operations for the same day, the final number of installed applications for that day is calculated. The representative value extracting unit 103 sequentially performs this calculation for all days, and based on the result, determines the maximum number of installed applications from the first week to the fourth week (the maximum value of the number of applications for seven days in each week). ) Is calculated.

  FIG. 4 shows the values for each unit period represented by the operation history calculated by the representative value extracting unit 103 in this manner from the first week to the fourth week. The representative value extracting unit 103 extracts a representative value from these calculated values. The representative value includes a maximum value, a minimum value, an average value, a median value, a mode value, and the like. In this embodiment, the maximum value is used. For example, the representative value extracting unit 103 extracts “50” in the third week if “the maximum number of browser launches per day”, and “1” in the first week if “the presence or absence of the map application”. Is extracted.

  The representative value extracting unit 103 also extracts the maximum value among the values of the first to fourth weeks for other types of operation history. In FIG. 4, the representative values extracted by the representative value extracting unit 103 are denoted by reference numerals A1 to A9. When there are a plurality of maximum values such as “whether the camera is activated” (all of the second, third and fourth weeks have the maximum value “1”), the latest value (in this case, the fourth week) The maximum value was extracted. The representative value extracting unit 103 supplies the nine representative values A1 to A9 thus extracted to the proficiency level determining unit 104.

  The proficiency determining unit 104 determines the proficiency of the operation based on the representative values (each representative value represented by a plurality of types of operation histories) extracted by the representative value extracting unit 103. The skill determination unit 104 is an example of the “determination unit” of the present invention. In the present embodiment, the proficiency level determination unit 104 calculates a value obtained by multiplying each of the coefficients determined for each representative value and summing them as a value R1 representing the proficiency level of the operation.

  FIG. 5 shows an example of a calculation formula of the value R1 representing the proficiency level. In the example of FIG. 5, the proficiency level determination unit 104 multiplies the representative values A1 to A9 by the coefficients k1 to k9, respectively, and sums them (k1 × A1 + k2 × A2 + k3 × A3 + k4 × A4 + k5 × A5 + k6 × A6 + k7 × A7 + k8 × A8 + k9 × A9). ) Is calculated as the value R1.

  As a value of each coefficient, for example, a value R1 calculated by acquiring operation histories of a plurality of users whose operation proficiency is known in advance and changing coefficients based on the operation histories is the most actual proficiency. The coefficient at which the temperature is close to degrees is used. Each coefficient is a positive value, and the greater the calculated value R1, the higher the proficiency. The proficiency level determination unit 104 stores a proficiency level table in which the value R1 is associated with the proficiency level (in this embodiment, a beginner / intermediate level / advanced level), and the proficiency level is determined using these tables. Make a decision.

  FIG. 6 shows an example of the proficiency level table. In the example of FIG. 6, the values R1 representing the proficiency levels “less than the threshold value Th11”, “more than the threshold value Th11 and less than the threshold value Th12”, and “more than the threshold value Th12” are “beginner”, “intermediate”, and “advanced”. The proficiency level is associated. The proficiency determination unit 104 determines the proficiency associated with the proficiency value R1 calculated as described above in the proficiency table as the proficiency of the user using the user device (smartphone 10). The proficiency level determination unit 104 performs the above-described determination, for example, at a predetermined timing (every day, every week, or the like), or when the user performs an operation to instruct the determination of the proficiency level.

  The proficiency level determination unit 104 supplies the proficiency level thus determined to the hint display control unit 106. In the present embodiment, the proficiency level determination unit 104 stores the determined proficiency level, and stores a proficiency level lower than the proficiency level stored when the next proficiency level is determined. The acquired proficiency is determined as the current proficiency. The proficiency level of the operation once increased is rarely reduced after several weeks, and it is considered that the low proficiency level was determined to be low by chance because the user rarely had a chance to operate the user device. Therefore, the proficiency level determination unit 104 determines the proficiency level as described above, so that a proficiency level lower than the proficiency level once determined higher is not determined.

  The display trigger determination unit 105 determines whether or not an event that triggers display of a hint for a user using the user device (this is referred to as a “trigger”) has occurred. As the trigger, for example, activation of a specific application program, occurrence of a specific error, display of a specific web page, execution of a specific operation, and the like are used. The display trigger determination unit 105 stores the type of processing corresponding to each trigger.

  The processing corresponding to each trigger includes, for example, processing for starting a specific application, processing for displaying an error code of a specific error, processing for displaying a specific web page, processing for generating operation data indicating a specific operation, and the like. It is. The display trigger determination unit 105 determines that a corresponding trigger has occurred when these processes are performed in the user device. The display trigger determining unit 105 periodically determines whether or not each trigger has occurred, and when determining that any of the triggers has occurred, supplies the hint display control unit 106 with trigger information indicating the triggered trigger.

  When the display trigger determining unit 105 determines that a trigger has occurred, the hint display control unit 106 causes the display unit to display a hint corresponding to the trigger and the proficiency determined by the proficiency determining unit 104. The hint display control unit 106 stores a hint table in which the trigger, the proficiency level, and the hint are associated with each other, and performs hint display control using the hint table.

  FIG. 7 shows an example of the hint table. In the example of FIG. 7, the trigger “translation application A” is triggered by a combination of a proficiency level of “beginner” and a hint of “how to use basic functions”, and a proficiency level of “intermediate level” and “how to use advanced functions” Is associated with a skill level of “advanced person” and a hint set of “dictionary customizing method”. In addition, a trigger "display of error code B" includes a set of proficiency level "beginner" and a hint "method of restarting", and a level of proficiency level "intermediate level" and an "operation method for eliminating errors". A set of hints is associated with a skill level of “advanced” and a set of hints of “locating the cause of error”.

  When the trigger information is supplied from the display trigger determination unit 105, the hint display control unit 106 associates the hint associated with the trigger indicated by the supplied trigger information and the proficiency level supplied from the proficiency level determination unit 104. Is read. If the hint display control unit 106 receives, for example, a trigger to activate the translation application A from the display trigger determination unit 105 and supplies a proficiency level of intermediate to the proficiency level determination unit 104, the hint table associates them with these. Display the hint "How to use extension".

  FIG. 8 shows an example of the displayed hint. In the example of FIG. 8A, when the user is determined to be “intermediate”, the hint display control unit 106 sets the touch screen 16 on which the screen of the “translation application A” is displayed (the display unit in the present embodiment). ), If you enable "Speech input" in "Hint" and "Settings", you can input sentences by voice. Is displayed. The hint H1 is a hint stored in the hint table as “how to use the extended function” associated with “intermediate”.

  In the example of FIG. 8B, when the user is determined to be “advanced”, the hint display control unit 106 selects “word registration” from “hint” and “dictionary” on the touch screen 16. You can register the word yourself. Is displayed. The hint H2 is a hint stored as a "dictionary customizing method" associated with "expert" in the hint table. In the information processing system 1, the hint corresponding to the user's proficiency is displayed on the user device (the smartphone 10 in this embodiment) used by the user in this way.

The smartphone 10 (specifically, the CPU 11) performs a judgment process of judging a proficiency level and a display process of displaying a hint based on the above configuration.
FIG. 9 illustrates an example of an operation procedure of each device in the determination processing and the display processing. In the example of FIG. 9, the operation procedure is started when the smartphone 10 is activated. First, the smartphone 10 (the operation history storage unit 101) executes an operation history storage process of storing the operation history of the own device while the own device is operating (step S11).

  Next, the smartphone 10 (the operation history acquisition unit 102) acquires the operation history during the determination period from the stored operation history when, for example, the timing of determining the proficiency level comes (step S21). Subsequently, the smartphone 10 (representative value extracting unit 103) extracts a representative value (the maximum value in the present embodiment) from the value for each unit period represented by the acquired operation history of each unit period (step S22). Then, the smartphone 10 (proficiency level determination unit 104) determines the proficiency level of the operation of the user using the own device based on the extracted representative values (step S23). Steps S11 to S23 are operation procedures in the determination process.

  In the example of FIG. 9, it is assumed that after step S23, the smartphone 10 (display trigger determination unit 105) determines that a trigger has occurred in the own device (step S31). Then, the smartphone 10 (the hint display control unit 106) displays a hint according to the type of the generated trigger and the determined skill level on the touch screen 16 as a display unit (step S32). Thereafter, the smartphone 10 returns to step S11 and continues the operation. Note that the smartphone 10 may return to step S31 and continue the operation after step S32 (the determination of the trigger generation and the determination of the proficiency may be performed in different cycles).

  In the present embodiment, the proficiency level of the operation is determined based on a representative value (the maximum value in the present embodiment) extracted from the value of each unit period represented by the operation history of each unit period forming the determination period. For example, even if a user with a higher level of skill tends to start the browser more frequently, the operation history becomes uneven, such that there are periods when the number of starts is large and periods when the number is small in a unit period alone. Sometimes. Therefore, by using a plurality of unit periods as a determination period and using the maximum value in those unit periods as a representative value, compared to a case where only the value represented by the operation history in one unit period is used, such an operation history Even if there is unevenness, the proficiency of the user's operation can be determined with higher accuracy.

  In the present embodiment, the proficiency level is determined based on the representative value of each value represented by the nine types of operation histories shown in FIG. For example, if only the “maximum number of browser launches per day” is used, the proficiency of users who frequently use browsers is judged to be high, but instead of using browsers often, map apps, setting apps, cameras, etc. are often used. The user's proficiency is determined to be low. In the present embodiment, by setting a plurality of types of operation histories to be used for determination in this way, even if there are users who use the user device differently, the higher the respective user histories as described above. The proficiency of the user's operation can be determined with accuracy.

[2] Second Embodiment Hereinafter, a second embodiment of the present invention will be described focusing on differences from the first embodiment. In the first embodiment, the proficiency level is determined based on the operation history during a certain determination period. In the second embodiment, however, the determination period used for determining the proficiency level is the current proficiency level and the application use period. Is adjusted according to the usage period of the user device and the type of operation history.

[2-1] Current skill level An example in which the determination period is adjusted according to the current skill level will be described.
FIG. 10 shows an example of the functional configuration of the second embodiment. FIG. 10 illustrates a smartphone 10a including a determination period adjustment unit 107 in addition to the units illustrated in FIG. The determination period adjustment unit 107 has a function of adjusting the determination period, and is an example of the “adjustment unit” of the present invention. The determination period adjustment unit 107 adjusts the determination period according to the current proficiency level determined by the proficiency level determination unit 104. In order to perform this adjustment, the determination period adjustment unit 107 stores, for example, an adjustment method table in which proficiency and an adjustment method of the determination period are associated with each other.

  FIG. 11 shows an example of the adjustment method table. In the example of FIG. 11, the proficiency levels of “beginner”, “intermediate”, and “advanced” include “reference period × 1.5”, “reference period × 1.0”, and “reference period × 0.5”. "Are associated with each other. This reference period is, for example, four weeks described in the first embodiment. In the present modification, when the proficiency level determination unit 104 determines the proficiency level, the determined proficiency level is supplied to the determination period adjustment unit 107. The determination period adjustment unit 107 reads out and stores the determination period associated with the supplied proficiency in the adjustment method table.

  When acquiring the operation history, the operation history acquisition unit 102 inquires of the determination period adjustment unit 107 about the determination period. In response to this inquiry, the determination period adjustment unit 107 responds to the inquiry by referring to a reference period × 1.5 (6 weeks) if the user is a beginner, or a reference period × 1.0 (4 weeks) if the user is intermediate. ) Is notified to the operation history acquisition unit 102 as a determination period of reference period × 0.5 (two weeks) if the user is an advanced user. The operation history acquisition unit 102 acquires the operation history of the notified determination period from the operation history storage unit 101. The determination period adjustment unit 107 adjusts the determination period in this way.

  When the maximum value is used as the representative value as in the first embodiment, the longer the determination period is, the larger the maximum value is, and the higher the proficiency level is, the more easily the determination is made. For this reason, even a beginner can be determined to be an advanced player if he or she concentrates on the operation even once during the determination period. In the example of FIG. 11, the proficiency level is determined based on the operation history of the shorter determination period as the proficiency level becomes higher, so that the proficiency level becomes higher if the user is not a user who frequently performs various operations. I am trying not to be judged. As described above, by adjusting the determination period, the accuracy of the determination result can be improved as compared with the case where the determination period is uniform.

[2-2] Application Use Period An example in which the determination period is adjusted according to the application use period will be described.
FIG. 12 shows another example of the functional configuration of the second embodiment. FIG. 12 illustrates a smartphone 10b including the elapsed time after application introduction calculating unit 108 in addition to the units illustrated in FIG. The post-application introduction period calculation unit 108 calculates a period elapsed from the introduction of the application program (elapsed period after introduction). The post-introduction elapsed period represents a period during which the user has used the application (application program).

  The post-introduction application elapsed time calculation unit 108 calculates, for example, the post-introduction elapsed period of a browser, a map application, a camera application, or an application that uses the GPS, which is an application to be operated, whose operation history is shown in FIG. . The post-application introduction elapsed time calculation unit 108 acquires the installation date and time of the target application from, for example, the OS (Operating System) of the own device, and calculates the period from the acquired date and time to the current date and time as the post-introduction elapsed period. The post-introduction application elapsed period calculation unit 108 supplies the calculated post-introduction elapsed period to the determination period adjustment unit 107.

  The determination period adjustment unit 107 adjusts the determination period according to the supplied elapsed period after introduction, that is, the period elapsed from the introduction of the application program that was the target of the operation represented by the operation history. In order to perform this adjustment, the determination period adjustment unit 107 stores, for example, an adjustment method table in which a post-introduction elapsed period is associated with an adjustment method for the determination period.

  FIG. 13 shows an example of the adjustment method table. In the example of FIG. 13, the proficiency levels of “less than one year”, “one year or more and less than three years”, and “three years or more” include “reference period (for example, 4 weeks) × 0.5” and “reference period × 1”. .0 "and" reference period x 1.5 "are associated with the adjustment method of the determination period. The determination period adjustment unit 107 adjusts the determination period in the same manner as in the example of FIG. 11 using the determination period associated with the post-introduction elapsed period supplied from the application introduction elapsed period calculation unit 108 in the adjustment method table. I do.

  The shorter the elapsed time after the introduction, that is, the closer to the start of use of the application, the more likely it is to operate the application due to the novelty. Therefore, when the maximum value is used as the representative value as in the first embodiment, even if the actual proficiency is low, the number of operations increases, the maximum value increases, and the proficiency may be determined to be high. In the example of FIG. 13, such determination is less likely to occur by shortening the determination period as the elapsed time after introduction is shorter. That is, also in this case, by adjusting the determination period, the accuracy of the determination result can be improved as compared with the case where the determination period is uniform.

[2-3] Use Period of User Device An example in which the determination period is adjusted according to the use period of the user device will be described.
FIG. 14 shows another example of the functional configuration of the second embodiment. FIG. 14 illustrates a smartphone 10c including a device usage period calculation unit 109 in addition to the units illustrated in FIG. The device usage period calculation unit 109 calculates a period (device usage period) that has elapsed since the user started using the user device (the smartphone 10c in this example).

  The device usage period calculation unit 109 searches, for example, an email (for example, a notification email of a new user ID) received at the time of the initial setting of the user device from the email stored in the own device, and searches the received date and time of the email. The period up to the current date and time is calculated as the device use period. In addition to this, if information associated with a date and time close to the start of use of the user device is stored, the device use period calculation unit 109 searches for the information and similarly calculates the device use period. I do. The device use period calculation unit 109 supplies the calculated device use period to the determination period adjustment unit 107.

  The determination period adjustment unit 107 adjusts the determination period according to the supplied apparatus use period, that is, the period that has elapsed since the user started using the user device. In order to perform this adjustment, the determination period adjustment unit 107 stores, for example, an adjustment method table in which the apparatus use period and the determination period adjustment method are associated with each other.

  FIG. 15 shows an example of the adjustment method table. In the example of FIG. 15, the proficiency levels of “less than one year”, “one year or more and less than two years”, and “two years or more” are given as “reference period (for example, 4 weeks) × 1.0” and “reference period × 1”. .5 "and" reference period × 2.0 "are associated with each other. The determination period adjustment unit 107 adjusts the determination period using the determination period associated with the device usage period supplied from the device usage period calculation unit 109 in the adjustment method table, as in the example of FIG.

  As the device usage period becomes longer, the settings and the applications to be used are fixed. Therefore, the operation history related to them (“the maximum number of startup times of the setting application per day”, “whether the GPS is enabled / disabled,” "The maximum number of installed apps" and "whether or not to change the screen brightness" tend to be small. Therefore, when the maximum value is used as the representative value as in the first embodiment, even if the actual proficiency is high, the maximum value is small and the proficiency may be determined to be lower than the actual proficiency. In the example of FIG. 15, the longer the device use period is, the longer the determination period is, so that the maximum value is likely to be large, and such determination is unlikely to occur. That is, also in this case, by adjusting the determination period, the accuracy of the determination result can be improved as compared with the case where the determination period is uniform.

[2-4] Type of Operation History An example in which the determination period is adjusted according to the type of operation history will be described.
FIG. 16 shows another example of the functional configuration of the second embodiment. FIG. 16 illustrates a smartphone 10d including a determination period adjustment unit 107 in addition to the units illustrated in FIG. The determination period adjustment unit 107 adjusts the determination period according to the type of operation history stored in the operation history storage unit 101. In order to perform this adjustment, the determination period adjustment unit 107 stores, for example, an adjustment method table in which types of operation histories are associated with adjustment methods for the determination period.

  FIG. 17 shows an example of the adjustment method table. In the example of FIG. 17, the “maximum number of browser activations per day”, “the activation of the map application”, “the maximum number of activations of the setting application per day”, “the activation of the camera” shown in FIG. "GPS enable / disable switching status", "sleep time change operation", "maximum number of installed applications", "maximum number of application types used per day", "screen brightness change operation" The nine types of operation histories are “reference period × 1.0”, “reference period × 1.5”, “reference period × 1.0”, “reference period × 0.75”, “reference period × 1. 25, “reference period × 1.5”, “reference period × 1.0”, “reference period × 1.0”, and “reference period × 0.75”.

  In the present embodiment, when the operation history acquisition unit 102 acquires the operation history from the operation history storage unit 101, the determination period adjustment unit 107 inquires of the determination period adjustment unit 107 about the determination period of each type of operation history. In response, each determination period is notified. Assuming that the reference period is 4 weeks, for example, if “map application is activated”, the determination period adjustment unit 107 notifies 6 weeks because “reference period × 1.5”, and if “camera is activated”, Since “reference period × 0.75”, it is notified that three weeks have passed. The operation history obtaining unit 102 obtains, from the operation history storage unit 101, the operation history for the notified determination period for each type of operation history.

  For example, a map application is not used every month, but tends to be used more frequently by a user with a higher level of skill when traveling. When using the operation history of such an application, the longer the determination period is, the more easily the correlation with the actual proficiency level increases. In addition, photographing with a camera is often used by a user with a low level of proficiency when going on a trip or the like, but a user with a high level of proficiency tends to use the camera aggressively. When using the operation history of such an application, the correlation with the actual proficiency level is likely to increase when the determination period is shortened. In the example of FIG. 17, by adjusting the determination period according to the type of the operation history, the correlation between the extracted representative value and the proficiency level is increased as compared with the case where the determination period is uniform, and the accuracy of the determination result is improved. Can be increased.

[3] Third Embodiment A third embodiment of the present invention will be described below focusing on differences from the above embodiments. In each of the above embodiments, the extracted representative value is used unconditionally. However, in the third embodiment, when the representative value is determined to be an abnormal value, the proficiency level is determined without using the representative value. Is determined. Here, the abnormal value refers to a representative value represented by an operation history of another user having a different level of proficiency from a user who usually uses the user device.

  For example, as in the first embodiment, even when the number of users using the user device is determined to be one, another user may perform an operation that the user does not understand, or hand over the user device to a clerk at a store or the like. By being operated, the operation history of another user is accumulated. Also, unlike the first embodiment, when a user device is shared by a plurality of users (for example, user A and user B), when the proficiency of user A is determined, the operation history of user B is different from that of another user. When the user B's proficiency is determined, the operation history of the user A becomes the operation history of another user. (Each operation history may be associated with each user, or may be associated with each user. It does not have to be).

  FIG. 18 shows an example of the functional configuration of the third embodiment. FIG. 18 illustrates a smartphone 10e including a normal value / abnormal value determination unit 110 in addition to the units illustrated in FIG. The normal value / abnormal value determination unit 110 has a function of determining whether or not the representative value extracted by the representative value extraction unit 103 is a normal value, and is an example of the “determination unit” of the present invention. In this embodiment, when the representative value is extracted, the representative value extraction unit 103 supplies the extracted representative value to the normal value / abnormal value determination unit 110 instead of the proficiency level determination unit 104. The proficiency determining unit 104 also supplies the determined proficiency to the normal value / abnormal value determining unit 110.

  The normal value / abnormal value determination unit 110 makes the above determination using, for example, the following two methods using the supplied representative value and proficiency. In the first method, the normal value / abnormal value determination unit 110 determines that the extracted representative value is not a normal value when the extracted representative value is not in the range corresponding to the proficiency level determined by the latest determination. In order to make this determination, the normal value / abnormal value determination unit 110 stores, for example, a representative value range table in which types of operation histories, proficiency levels, and ranges of representative values are associated with each other.

  FIG. 19 shows an example of the representative value range table. In the example of FIG. 19, “beginner” and “less than 20”, “intermediate” and “less than 40”, “advanced”, and “restricted” with respect to “the maximum number of browser activations per day” A set of proficiency levels and representative value ranges of "none" is associated with each other. Also, sets of proficiency levels and representative value ranges are associated with the “maximum number of set application activations per day” and the “maximum number of used application types per day”, respectively.

  The normal value / abnormal value judgment unit 110 sets the representative value in the range of the representative value associated with the proficiency level most recently supplied from the proficiency level determination unit 104 and the “maximum number of browser startups per day”, for example. If the representative value of “the maximum number of browser activations per day” supplied from the extraction unit 103 is included, the representative value is determined to be a normal value, and if not, the representative value is determined. Judge as an abnormal value. The normal value / abnormal value determination unit 110 similarly determines the normal value / abnormal value for the “maximum number of set application activations per day” and the “maximum number of used application types per day”.

  In the second method, the normal value / abnormal value determination unit 110 determines that the extracted representative value is not a normal value when the extracted representative value is not in a range corresponding to a change tendency of the proficiency level based on a plurality of past determinations. to decide. When this method is used, each time the proficiency level determination unit 104 calculates the value R1 representing the proficiency level based on the representative value, the proficiency level determination unit 104 adds the calculated value R1 together with time information indicating the calculation time to a normal value / abnormal value determination unit. Supply to 110.

  FIG. 20 shows an example of a changing tendency of the proficiency level. In FIG. 20, a graph in which the vertical axis represents the value R1 of the proficiency level and the horizontal axis represents the elapsed time is shown. In this example, a value less than the threshold value Th11 shown in FIG. 6 is determined as a beginner, a value greater than or equal to the threshold value Th11 and less than the threshold value Th12 is determined as an intermediate level, and a value greater than or equal to the threshold value Th12 is determined as an advanced level. On the graph, R1-1, R1-2, R1-3, and R1-4, which are values of the proficiency calculated for a certain user, and a straight line B1 obtained by linearly approximating the tendency of these values are shown. I have. The straight line B1 has a proficiency value of R1a at the current time point, and R1a is equal to or more than the threshold Th11 and less than the threshold Th12, that is, included in the range of intermediate level.

  The normal value / abnormal value determination unit 110 calculates the equation of the straight line B1 based on the proficiency value R1 and the time information supplied from the proficiency level determination unit 104, and calculates R1a which is the currently assumed proficiency value. calculate. In this case, the normal value / abnormal value determination unit 110 determines that even if this user is determined to be a beginner by the most recently calculated value R1-4, the currently assumed proficiency value R1a is determined to be intermediate. Since the value is determined, the normal value / abnormal value is determined using the range of the representative value associated with “intermediate” in the example of FIG. In this case, the representative value range associated with “intermediate” in the representative value range table in FIG. 19 is a range corresponding to the tendency of the proficiency level to change.

  When determining that the representative value is a normal value, the normal value / abnormal value determination unit 110 supplies the representative value to the proficiency level determination unit 104. On the other hand, when the normal value / abnormal value determination unit 110 determines that the representative value is an abnormal value, it requests the representative value extraction unit 103 for the next representative value after the representative value. When the representative value is the maximum value as in the first embodiment, the representative value extracting unit 103 sets the normal value / abnormal value determining unit 110 to use the next largest value after the value determined as an abnormal value as the next representative value. Supply. The normal value / abnormal value determination unit 110 also determines a normal value / abnormal value for the supplied next representative value. The normal value / abnormal value determination unit 110 continues the above operation until a normal value is supplied, and supplies a representative value determined as a normal value to the proficiency level determination unit 104.

  In this embodiment, the representative value extraction unit 103 may supply the representative value to the proficiency level determination unit 104. In that case, the representative value extracting unit 103 supplies the representative value to the normal value / abnormal value determining unit 110, for example, and inquires about the result of the determination. The normal value / abnormal value determination unit 110 notifies the representative value extraction unit 103 when it determines that the representative value is abnormal, and the representative value extraction unit 103 transmits the next representative value until the representative value is determined to be a normal value. The value is repeatedly supplied to the normal value / abnormal value determination unit 110. When determining that the supplied representative value is a normal value, the normal value / abnormal value determining unit 110 notifies the representative value extracting unit 103 of the determination, and the representative value extracting unit 103 determines that the supplied representative value is a normal value. The representative value is supplied to the proficiency level determination unit 104.

  The proficiency determination unit 104 determines the proficiency based on the representative value determined to be normal by the normal value / abnormal value determination unit 110 in this way. As a result, the proficiency level determination unit 104 determines the value of each unit period represented by the operation history of the other unit period except for the unit period corresponding to the representative value determined to be abnormal by the normal value / abnormal value determination unit 110 ( The proficiency level is determined based on the representative value finally determined as a normal value).

  When the proficiency level is determined based on the above-described abnormal value, that is, a representative value represented by an operation history of another user having a different proficiency level from a user who regularly uses the user device (a user whose proficiency level is to be determined). In addition, a skill level different from the skill level of the user to be determined is easily determined. In this embodiment, when such an abnormal value is extracted as a representative value, it is not used, and the proficiency is always determined based on the normal value. The accuracy of the determination result can be improved as compared with the case of the determination.

[4] Modifications Each of the embodiments described above is merely an example of the embodiment of the present invention, and may be modified as follows. Further, each embodiment and each modification may be implemented in combination as needed.

[4-1] Repetitive operation For example, when a beginner user tries to apply for something by operating the browser, he does not know how to operate it and restarts the browser many times to perform the application operation. May be repeated. Even in such a case, the “maximum number of browser activations per day” is increased, and the proficiency is high and the judgment is easy. In the present modified example, the following determination is performed in order to prevent the proficiency level from being determined to be higher than the actual level due to the increase in the number of operations due to the repeated operations.

  FIG. 21 illustrates an example of a functional configuration of the present modification. FIG. 21 illustrates a smartphone 10f including a repetition presence / absence determination unit 111 in addition to the units illustrated in FIG. The repetition presence / absence determining unit 111 determines whether or not the operation history indicating the representative value extracted by the representative value extracting unit 103 includes operations similar to each other. In the present modified example, the operation history storage unit 101 stores not only the operation date and time of the activation operation of the browser, but also the operation date and time of the operation performed on the activated browser. When the representative value is extracted, the representative value extracting unit 103 supplies the extracted representative value and the history of the browser activation operation in the unit period from which the representative value was extracted to the repetition determination unit 111.

  When a plurality of browser activation histories are supplied, the repetition presence / absence determination unit 111 reads the browser operation histories stored after the histories from the operation history storage unit 101, respectively. The repetition presence / absence determining unit 111 compares the read operation histories of the browser and calculates their similarity. The repetition presence / absence determining unit 111 adds points, for example, as two points when exactly the same operation is included, and as one point when an operation of the same type of input and different information is included, as one point. . When the total score is equal to or greater than the threshold Th21, the repetition determination section 111 determines that an operation similar to the operation history representing the representative value is included.

  When the repetition determination section 111 determines that a similar operation is included, the repetition determination section 111 supplies the representative value of the determination to the proficiency level determination section 104. When the representative value is supplied from the repetition presence / absence determining unit 111, that is, when the operation history representing the representative value extracted by the representative value extracting unit 103 includes operations similar to each other, The proficiency level of the operation is determined to be lower than when the operation history does not include operations similar to each other.

  The proficiency level determination unit 104 determines the proficiency level of the operation to be low, for example, by reducing the extracted representative value (for example, to half the value). In addition to this, the proficiency level determination unit 104 weights the coefficient by which the representative value is multiplied (for example, the coefficient of the representative value of the operation history including the similar operation described above is reduced in weight, and For example, the weight of the coefficient of the representative value may be increased), and the proficiency of the operation may be determined to be low.

  Here, the operations that are similar to each other means that a series of operations performed after the browser is activated (for example, a series of operations for performing the same application) are similar to each other. As a result, when the same operation is repeatedly performed, the representative value is reduced, and the proficiency is low and the determination is easily performed. As a result, it is unlikely that the novice user's proficiency level will be determined to be higher than the actual level due to an increase in the number of operations by the repeated operations.

  Note that the proficiency determination unit 104 is not limited to the case where the operations similar to each other are simply included, and reduces the representative value by reducing the representative value when the amount of the operations similar to each other exceeds a predetermined level. May be determined. The proficiency level determination unit 104 determines, for example, that the ratio of the number of similar operations to each other in a case where the number of similar operations exceeds a predetermined number or a series of operations performed after starting the browser is equal to a predetermined value. If it exceeds, it is determined that the amount of similar operations has exceeded a predetermined level. This makes it possible to reduce the representative value if, for example, an advanced user performs similar operations within a unit period in order to periodically check the same information, unless the amount of such operations exceeds a predetermined level. Can be used for the determination.

[4-2] How to express proficiency In the above examples, the proficiency is represented by beginner, intermediate, and advanced, but the present invention is not limited to this. For example, proficiency levels of beginners and lower or advanced users may be represented, or they may be represented by levels (LV1, LV2,...). Further, the value R1 representing the proficiency may be used as it is as the proficiency (the greater the value R1, the higher the proficiency). In this case, in the above example, the higher the value R1 is, the higher the proficiency is represented. On the contrary, the value A1 to A9 representing the operation history is multiplied by the coefficients k1 to k9 to subtract from the reference value. The smaller the value R1 obtained as a result, the higher the proficiency may be. In this case, the proficiency determining unit 104 determines that the smaller the calculated value R1, the higher the proficiency. In any case, the proficiency may be represented in any manner as long as an appropriate hint can be displayed according to the proficiency.

[4-3] Representative Value The representative value extracting unit 103 extracts the maximum value as the representative value in each of the above examples, but is not limited thereto. For example, the representative value extracting unit 103 may extract, from the values for each unit period represented by the operation history of each unit period, the two largest values as representative values (that is, there may be a plurality of representative values). The average value may be extracted as a representative value (that is, a value obtained by calculation from a value for each unit period represented by the operation history may be used as the representative value). In any case, as in the case of the representative value (maximum value) described in the first embodiment, a value indicating how much operation is performed when there are many operations represented by the operation history is extracted as the representative value. I just need.

  The representative value extracting unit 103 sets the value of the week having at least one operation date and time associated with the “map application activation operation” to “2” for “map application activation operation”, for example, Is set to “1”, the minimum value “1” may be extracted as the representative value. In addition, the representative value extracting unit 103 may extract an average value, a median value, a mode value, and the like as a representative value. In any case, it is only necessary that a representative value that can obtain a value correlated with the proficiency level of the operation be extracted.

  For example, regardless of which representative value is extracted, a value R1 is calculated by multiplying each representative value by a coefficient as shown in FIG. As in the embodiment, the operation histories of a plurality of users whose operation proficiency is known in advance are obtained, and the value R1 calculated while changing the coefficient based on the operation histories is the most actual proficiency. The proficiency level can be determined by using the coefficient when the value is close to.

[4-4] Coefficients In the example shown in FIG. 5, the coefficients are all positive values, but a coefficient of 0 or a negative value may be used. For example, if the maximum value of the number of times of undoing an operation (undo) is extracted as a representative value, the more the number of operations is, the lower the proficiency level is. Therefore, the number of times of this operation is multiplied by a negative coefficient. The value R1 representing the proficiency level becomes smaller as the maximum value of is larger. Further, for example, even if the operation history stored in the operation history storage unit 101 is initially considered to have a correlation with the proficiency level, it may be found that the verification has progressed and no correlation is found. In this case, by setting the coefficient relating to such an operation history to 0 at the time of updating the program or the like, it is possible to reduce the amount of calculation for determining the proficiency level.

[4-5] Apparatus for Implementing Each Function Each function illustrated in FIG. 2 and the like may be implemented by an apparatus different from the embodiment.
FIG. 22 illustrates an overall configuration of an information processing system 1 according to the present modification. The information processing system 1 includes a network 2, a smartphone 10g, and a server device 20. The network 2 includes a mobile communication network, the Internet, and the like, and mediates data exchange between devices. A smartphone 10g is connected to the network 2 by mobile communication, and a server device 20 is connected by wire (or may be wireless).

  FIG. 23 illustrates a hardware configuration of the server device 20. The server device 20 is a computer including a CPU 21, a RAM 22, a ROM 23, a NIC (Network Interface Card) 24, and a storage 25. The CPU 21, the RAM 22, and the ROM 23 are hardware that is common to the hardware of the same name shown in FIG. The NIC 24 includes a circuit that communicates with the network 2 by wire (or may be wireless), and communicates with, for example, the smartphone 10g via the network 2. The storage 25 is storage means such as a hard disk drive (HDD) or a solid state drive (SSD), and stores data and programs used by the CPU 21 for control.

  FIG. 24 illustrates a functional configuration of the information processing system 1. The smartphone 10g includes an operation history storage unit 101, a display trigger determination unit 105, and a hint display control unit 106. The server device 20 includes an operation history acquisition unit 102, a representative value extraction unit 103, and a proficiency level determination unit. 104. In this case, the server device 20 determines the proficiency of the operation of the user using the smartphone 10g, and the smartphone 10g displays a hint based on the determination result. The server device 20 is an example of the “determination device” of the present invention, and the information processing system 1 is an example of the “determination system” of the present invention.

  FIG. 25 illustrates a functional configuration of an information processing system 1h according to the present modification. The information processing system 1h includes a smartphone 10h, a first server device 20h, and a second server device 20k. The smartphone 10h includes an operation history storage unit 101, a display trigger determination unit 105, and a hint display control unit 106. The first server device 20h includes an operation history acquisition unit 102 and an operation history accumulation unit 112, and the second server device 20k includes a representative value extraction unit 103 and a proficiency level determination unit 104.

  The operation history accumulation unit 112 of the first server device 20h accumulates the operation history acquired by the operation history acquisition unit 102. The representative value extraction unit 103 of the second server device 20k extracts a representative value based on the operation history stored in the operation history storage unit 112. In this case, the devices included in the information processing system 1h cooperate to acquire the operation history, determine the proficiency level, display the hint, and the like. The information processing system 1h is an example of the “judgment system” of the present invention.

[4-6] User Device The user device is not limited to the above-described smartphone, and may be a mobile phone, a tablet terminal, a notebook computer, a desktop computer, or the like. In short, any device operated by the user may be used.

[4-7] Use by Multiple Users In the first embodiment, it is assumed that one user uses the user device. However, the present invention is not limited to this, and the user device may be used by a plurality of users. In this case, if each user logs in with a different account, the user device stores the operation history in association with those accounts, so that the user's skill level of the operation can be determined for each user.

[4-8] Method of utilizing skill level In each of the above examples, the determined skill level was used for displaying hints, but the present invention is not limited to this. For example, the items displayed on the menu screen may be selected according to the level of proficiency (the higher the level of proficiency, the more items related to customization of screens and functions, etc.). In addition, the lower the proficiency level, the larger the size of the icons and characters may be so that the user can easily operate. In short, the skill may be used for any purpose as long as the user's convenience is improved by changing the operation of the user device according to the skill of the operation of the user device.

[4-9] Category of Invention The present invention can be regarded as a determination system such as a CPU and a server device of a smartphone, as well as a determination system including these determination devices. Further, the present invention can be regarded as an information processing method for realizing the processing performed by each device, and also as a program for causing a computer that controls each device to function. This program may be provided in the form of a recording medium such as an optical disk in which the program is stored, or provided in the form of being downloaded to a computer via a network such as the Internet, installed, and made available. May be done.

DESCRIPTION OF SYMBOLS 1 ... Information processing system, 2 ... Network, 10 ... Smartphone, 20 ... Server device, 16 ... Touch screen, 101 ... Operation history storage unit, 102 ... Operation history acquisition unit, 103 ... Representative value extraction unit, 104 ... Skill level judgment Unit, 105: display trigger determination unit, 106: hint display control unit, 107: determination period adjustment unit, 108: elapsed time after application introduction calculation unit, 109: device use period calculation unit, 110: normal value / abnormal value determination unit .., 111... A repetition presence / absence determination unit, 112.

Claims (8)

An acquisition unit configured to acquire an operation history of the user device in a determination period including a plurality of unit periods;
An extracting unit that extracts a representative value from a value for each unit period represented by the operation history of each unit period,
A determining unit that determines a proficiency level of an operation of the user device based on the extracted representative value ;
A determining unit that adjusts the determination period according to the current skill level . An acquisition unit configured to acquire an operation history of the user device in a determination period including a plurality of unit periods;
An extracting unit that extracts a representative value from a value for each unit period represented by the operation history of each unit period,
A determining unit that determines a proficiency level of an operation of the user device based on the extracted representative value ;
An adjustment unit that adjusts the determination period according to a period that has elapsed since the introduction of the application program that was the target of the operation represented by the operation history . An acquisition unit configured to acquire an operation history of the user device in a determination period including a plurality of unit periods;
An extracting unit that extracts a representative value from a value for each unit period represented by the operation history of each unit period,
A determining unit that determines a proficiency level of an operation of the user device based on the extracted representative value ;
An adjustment unit that adjusts the determination period according to a period that has elapsed since the start of use of the user device. An acquisition unit configured to acquire an operation history of the user device in a determination period including a plurality of unit periods;
An extracting unit that extracts a representative value from a value for each unit period represented by the operation history of each unit period,
A determining unit that determines a proficiency level of an operation of the user device based on the extracted representative value ;
An adjustment unit that adjusts the determination period according to the type of the operation history . An acquisition unit configured to acquire an operation history of the user device in a determination period including a plurality of unit periods;
An extracting unit that extracts a representative value from a value for each unit period represented by the operation history of each unit period,
A determining unit that determines a proficiency level of an operation of the user device based on the extracted representative value ;
An adjustment unit that adjusts the determination period according to the current proficiency level . An acquisition unit configured to acquire an operation history of the user device in a determination period including a plurality of unit periods;
An extracting unit that extracts a representative value from a value for each unit period represented by the operation history of each unit period,
A determining unit that determines a proficiency level of an operation of the user device based on the extracted representative value ;
An adjustment unit that adjusts the determination period according to a period that has elapsed since the introduction of the application program that was the target of the operation represented by the operation history . An acquisition unit configured to acquire an operation history of the user device in a determination period including a plurality of unit periods;
An extracting unit that extracts a representative value from a value for each unit period represented by the operation history of each unit period,
A determining unit that determines a proficiency level of an operation of the user device based on the extracted representative value ;
An adjustment unit that adjusts the determination period according to a period that has elapsed since the start of use of the user device . An acquisition unit configured to acquire an operation history of the user device in a determination period including a plurality of unit periods;
An extracting unit that extracts a representative value from a value for each unit period represented by the operation history of each unit period,
A determining unit that determines a proficiency level of an operation of the user device based on the extracted representative value ;
An adjustment unit that adjusts the determination period according to the type of the operation history .

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