Information processing device, information processing method, and program

Abstract

To provide an information processing device capable of identifying the degree to which the degree of impact on daily life due to dependency as perceived by a user deviates from the degree of the actual impact.SOLUTION: An information processing device 1 comprises: an acquisition unit 131 which acquires usage results information indicative of the usage results of a portable terminal 2 of a user, user information, which is information on the behavior status of prescribed behaviors of the user or the emotions or health conditions of the user, and self-reported information reported by the user and indicative of a self-reported impact level, which is the degree of impact on the use's daily life caused by the use of the mobile terminal 2; an identification unit 132 which identifies the degree of impact on the user's daily life caused by the use of the mobile terminal 2 on the basis of the acquired usage results information and user information; and an output unit 134 which outputs the comparison results between the self-reported impact level indicated by the acquired self-reported information and the identified impact level.SELECTED DRAWING: Figure 2

Description

[Technical field]

[0001] The present invention relates to an information processing device, an information processing method, and a program. [Background technology]

[0002] In recent years, the amount of time that junior and senior high school students spend on internet games has increased, causing problems in daily life. This condition has come to be defined as "gaming behavior disorder (addiction)." In addition, "gaming behavior disorder" was officially adopted in the "11th Revision of the International Classification of Diseases (ICD-11)" published by the World Health Organization (WHO) in January 2022.

[0003] For users who are addicted to games on mobile devices, they are also addicted to using the mobile devices, and there is a problem that they cannot control the use of the mobile devices. In response to such a problem, for example, Patent Document 1 discloses a system that restricts the use of a network application to be monitored, which is executed on the computer used by the user, based on the time that the network application is processed in the foreground. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] JP 2009-042873 A Summary of the Invention [Problem to be solved by the invention]

[0005] For example, among users who are dependent on the use of mobile devices, there are users whose perception of the impact of mobile device use on their daily life differs from the actual impact, and it is preferable to treat such users based on cognitive behavioral therapy. However, conventional systems only restrict the use of a network application to be monitored based on the time the application is processed in the foreground, and there is a problem in that it is not possible to identify the extent to which the user's perception of the impact of mobile device use on daily life differs from the actual impact.

[0006] Therefore, the present invention has been made in consideration of these points, and aims to enable a user to determine the extent to which the impact of addiction on their daily life that they believe it to be deviates from the actual impact. [Means for solving the problem]

[0007] An information processing device according to a first aspect of the present invention has an acquisition unit that acquires usage history information indicating a user's usage history of a mobile device, user information which is information regarding the user's behavioral status of a specified behavior, the user's emotions, or the user's health condition, and self-reported information indicating a self-reported impact level which is the impact of the user's use of the mobile device on the user's daily life reported by the user, an identification unit that identifies the impact level of the user's use of the mobile device on the user's daily life based on the usage history indicated by the usage history information acquired by the acquisition unit and the user information acquired by the acquisition unit, and an output unit that outputs a comparison result between the self-reported impact level indicated by the self-reported information acquired by the acquisition unit and the impact level identified by the identification unit.

[0008] The identification unit may identify a degree of dependency on use of a mobile device by the user based on a comparison result between the self-reported degree of influence and the identified degree of influence.

[0009] The information processing device may further have a selection unit that selects an improvement method corresponding to the degree of dependency identified by the identification unit from among a plurality of improvement methods for improving the user's dependency on use of a mobile device, and the output unit may output information indicating the improvement method selected by the selection unit to the user's mobile device.

[0010] The acquisition unit may further acquire understanding information indicating the user's level of understanding of the user's dependency on use of a mobile device or motivation information indicating a level of motivation for improving said dependency, and the selection unit may select an improvement method for improving the user's dependency on use of a mobile device based on the level of dependency identified by the identification unit and the level of understanding indicated by the understanding information acquired by the acquisition unit or the motivation indicated by the motivation information.

[0011] The identification unit may identify a factor that increases the degree of dependency when it is determined that a difference between the self-reported impact degree and the impact degree identified by the identification unit is equal to or greater than a predetermined amount.

[0012] The acquisition unit acquires the usage history information, the user information, and the self-reported information corresponding to each of the multiple dates and times, the identification unit identifies the impact degree corresponding to each of the multiple dates and times based on the usage history indicated by the usage history information corresponding to each of the multiple dates and times and the user information, and the output unit stores comparison history information in a memory unit including a comparison result between the self-reported impact degree corresponding to each of the multiple dates and times and the impact degree identified by the identification unit, and based on the multiple comparison results stored in the memory unit, determines whether the difference between the self-reported impact degree and the impact degree identified by the identification unit is becoming smaller over time, and selects an improvement method for improving the user's dependency on use of a mobile device corresponding to the result of the determination.

[0013] The acquisition unit may acquire the usage history information indicating the usage history of a specified game executed on the user's mobile terminal and the self-reported information indicating a self-reported impact level, which is the impact of the user's use of the specified game on the daily life reported by the user, and the identification unit may identify the impact of the user's use of the specified game on the user's daily life based on the usage history of the specified game indicated by the usage history information and at least one of the user's behavioral status of the specified behavior, the emotions, and the health condition indicated by the user information acquired by the acquisition unit, and the output unit may output a comparison result between the self-reported impact level, which is the impact of the user's use of the specified game on the daily life indicated by the self-reported information acquired by the acquisition unit, and the impact of the use of the specified game on the user's daily life identified by the identification unit.

[0014] An information processing method according to a second aspect of the present invention includes the steps of acquiring, executed by a computer, usage history information indicating a user's usage history of a mobile device, user information which is information regarding the behavioral status of a predetermined behavior of the user, the user's emotions, or the user's health condition, and self-reported information indicating a self-reported impact level which is the impact of the user's use of the mobile device on the user's daily life reported by the user, based on the usage history indicated by the acquired usage history information and the acquired user information, and outputting a comparison result between the self-reported impact level indicated by the acquired self-reported information and the identified impact level.

[0015] A program according to a third aspect of the present invention causes a computer to function as an acquisition unit that acquires usage history information indicating a user's usage history of a mobile device, user information which is information regarding the user's behavioral status of a specified behavior, the user's emotions, or the user's health condition, and self-reported information indicating a self-reported impact level which is the impact of the user's use of the mobile device on the user's daily life as reported by the user, an identification unit that identifies the impact level of the user's use of the mobile device on the user's daily life based on the usage history indicated by the usage history information acquired by the acquisition unit and the user information acquired by the acquisition unit, and an output unit that outputs a comparison result between the self-reported impact level indicated by the self-reported information acquired by the acquisition unit and the impact level identified by the identification unit. Effect of the Invention

[0016] According to the present invention, it is possible to determine the extent to which the impact of addiction on daily life that the user believes it has on the user's life differs from the actual impact. [Brief description of the drawings]

[0017] [Figure 1] FIG. 1 is a diagram illustrating an overview of an information processing device. [Diagram 2] FIG. 2 is a diagram illustrating a functional configuration of an information processing device. [Diagram 3] FIG. 13 is a diagram illustrating an example of a self-influence calculation table. [Figure 4] FIG. 13 is a diagram illustrating an example of an influence degree calculation table. [Diagram 5] FIG. 11 is a diagram showing an example of a first score calculation table. [Figure 6] FIG. 11 is a diagram showing an example of a second score calculation table. [Figure 7] FIG. 13 illustrates an example of a dependency table. [Figure 8] FIG. 13 is a diagram illustrating an example of a method selection table. [Figure 9] FIG. 13 is a diagram showing an example of a determination result screen. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0018] [Overview of information processing device 1] 1 is a diagram for explaining an overview of an information processing device 1. The information processing device 1 is a server that supports a user who uses a mobile terminal 2 in improving his or her dependency on the use of the mobile terminal. The information processing device 1 is connected to the mobile terminal 2 so as to be able to communicate with the mobile terminal 2.

[0019] The mobile terminal 2 is a computer such as a smartphone or a tablet, and has installed thereon, for example, a dependency improvement program that is a program for improving dependency on the use of the mobile terminal. The information processing device 1 acquires, for example, from the mobile terminal 2, usage record information indicating the usage record of the mobile terminal 2 by the user, and user information that is information regarding at least one of the behavioral status of the user's predetermined behavior, the user's emotions, and the user's health condition ((1) in FIG. 1). The predetermined behavior is, for example, behavior that the user regularly performs in daily life, such as getting up, sleeping, eating, going to school, commuting, and going to cram school. In addition, the information processing device 1 acquires, for example, from the mobile terminal 2, self-reported information indicating a self-reported impact level that is an impact level on the user's daily life due to the user's use of the mobile terminal 2 ((2) in FIG. 1).

[0020] The information processing device 1 identifies the degree of impact of the user's use of the mobile terminal 2 on the user's daily life based on the user's usage history of the mobile terminal 2 indicated by the acquired usage history information and the acquired user information ((3) in FIG. 1). The information processing device 1 outputs comparison result information indicating a comparison result between the self-reported impact indicated by the acquired self-reported information and the identified impact to the mobile terminal 2 ((4) in FIG. 1). In this way, the information processing device 1 identifies the degree to which the impact on daily life due to the dependency that the user believes deviates from the actual impact, and allows the user to recognize the degree of the deviation.

[0021] [Functional configuration of information processing device 1] Next, a description will be given of the functional configuration of the information processing device 1. Fig. 2 is a diagram showing the functional configuration of the information processing device 1. The information processing device 1 has a communication unit 11, a storage unit 12, and a control unit 13.

[0022] The communication unit 11 is a communication interface for transmitting and receiving data to and from an external device such as the portable terminal 2 or a communication device that manages a wireless communication network. The storage unit 12 is a storage medium that stores various data, and includes a ROM (Read Only Memory), a RAM (Random Access Memory), a hard disk, etc. The storage unit 12 stores a program that causes the control unit 13 to function as an acquisition unit 131, a specification unit 132, a selection unit 133, and an output unit 134.

[0023] The control unit 13 is, for example, a CPU (Central Processing Unit). The control unit 13 executes a program stored in the storage unit 12, thereby functioning as an acquisition unit 131, a specification unit 132, a selection unit 133, and an output unit .

[0024] [Identification of impact and dependency] First, among the functions of the control unit 13, the function of identifying the degree of influence on the user's daily life due to the use of the mobile terminal 2 by the user and the degree of dependency on the use of the mobile terminal 2 by the user will be described.

[0025] The acquisition unit 131 acquires usage history information indicating the usage history of the mobile terminal 2 by the user, and user information that is information regarding the behavioral state of a predetermined behavior of the user, the user's emotions, or the user's health condition.

[0026] The usage history of the user's mobile terminal 2 is, for example, the usage history of games using the user's mobile terminal 2. The acquisition unit 131 acquires, as usage history information, information indicating at least one of the usage time, continuous usage time, usage time zone, usage frequency, and charge for the game of a game executed on the mobile terminal 2. For example, the acquisition unit 131 acquires, from the mobile terminal 2, history information indicating the execution history of a game executed on the mobile terminal 2, and analyzes the history information to acquire information indicating at least one of the usage time, continuous usage time, usage time zone, usage frequency, and charge for the game of a game executed on the mobile terminal 2.

[0027] Furthermore, in the case where a prohibited time period is set in the mobile terminal 2, during which the use of the game is prohibited, the acquisition unit 131 may acquire, as the game usage record, information indicating the time the game was used during the prohibited time period.

[0028] The user's specified behavior is a behavior that the user performs regularly in daily life, such as waking up, sleeping, eating, commuting to school, work, and cram school. The behavioral status of the specified behavior is, for example, the user's actual behavior time relative to a schedule that is predetermined for the specified behavior. The user's emotions are the emotions that the user has when performing the specified behavior. The user's health state is the user's health state when the user is performing the specified behavior.

[0029] For example, while executing the dependency improvement program, the mobile terminal 2 displays on its display unit a questionnaire that accepts responses regarding at least one of the schedule of the predetermined behavior, the behavioral status of the predetermined behavior, the user's emotions, and the user's health condition. In the questionnaire, responses regarding the behavioral status of the predetermined behavior, the user's emotions, and the user's health condition, for example, the time when the predetermined behavior was performed, the time period during which the predetermined behavior was performed, the user's emotions at the time of the performance, and the results of a health check, are accepted. When the mobile terminal 2 accepts the responses to the questionnaire, it transmits the response information of the questionnaire to the information processing device 1. The acquisition unit 131 acquires the response information of the questionnaire as schedule information indicating the schedule of the predetermined behavior, user information indicating the behavioral status of the user's predetermined behavior, the user's emotions, and the user's health condition.

[0030] The acquiring unit 131 may acquire schedule information indicating a schedule of the predetermined behavior and user information indicating the behavioral status of the predetermined behavior of the user by displaying the questionnaire on a terminal of a person related to the user and accepting responses to the questionnaire from the person related to the user. The acquiring unit 131 may also transmit the user ID of the user of the mobile terminal 2 to a health checkup data storage management device (not shown) that stores a user ID for identifying a user and health checkup data of the user in association with each other, and acquire the health checkup data associated with the user ID from the management device as user information.

[0031] The acquisition unit 131 may also acquire, as user information, the user's heart rate and body temperature measured by a measuring device such as a smart watch worn by the user. In this case, the acquisition unit 131 acquires, as user information, for example, biological history information including the user's user ID and biological information at each of a plurality of times from the measuring device. Note that the mobile terminal 2 may acquire the user's biological information from the measuring device via short-range wireless communication, and the acquisition unit 131 may acquire the user's biological information from the mobile terminal 2 as user information.

[0032] Also, a terminal given to a user at a school, a cram school, or a workplace may be set so as to be capable of communicating with the information processing device 1, and the acquisition unit 131 may acquire information indicating the execution time of the terminal from the terminal as user information indicating commuting time to school, a cram school, or work hours. Also, the user's user ID may be associated with the location of the school, a cram school, or a workplace that the user attends and stored in advance, and the acquisition unit 131 may acquire information indicating the time when the location indicated by the location information of the mobile terminal 2 is within a predetermined range from the location indicated by the location information associated with the user ID as behavior information indicating commuting time to school, a cram school, or work hours.

[0033] The acquisition unit 131 acquires self-reported information indicating a self-reported impact level, which is an impact level of the user's use of the mobile terminal 2 reported by the user on the user's daily life. Here, the impact level of the user's use of the mobile terminal 2 on the user's daily life is the impact level of the user's use of a predetermined game executed on the mobile terminal 2 on the daily life. In the following description, the impact level of the user's use of the mobile terminal 2 on the user's daily life indicates the impact level of the user's use of the predetermined game on the daily life. The impact level of the user's use of the mobile terminal 2 on the user's daily life is also simply referred to as impact level.

[0034] When the acquisition unit 131 acquires the self-reported information, the storage unit 12 stores a self-influence calculation table for identifying the self-reported influence. FIG. 3 is a diagram showing an example of the self-influence calculation table. The self-influence calculation table is a table in which the content of each of a plurality of questions for identifying the influence is associated with a partial score that is given to the user when the user answers the question in the affirmative. The plurality of questions for identifying the influence are, for example, questions about whether any of the questions applies to the user throughout a predetermined period (for example, one week). The questions for identifying the influence include a question for determining the stage of the user's attitude toward the user's dependency on the use of the mobile terminal 2, which will be described later.

[0035] While executing the dependency improvement program, the mobile terminal 2 displays a questionnaire consisting of questions included in the self-influence calculation table on its display unit and accepts answers from the user. When the mobile terminal 2 accepts the answers to the questionnaire, it transmits the answer information of the questionnaire to the information processing device 1. The acquisition unit 131 identifies questions that were answered affirmatively based on the answer information of the questionnaire. The acquisition unit 131 acquires the result of summing up the partial scores associated with the questions identified in the self-influence calculation table as self-reported information indicating the self-reported influence.

[0036] The identification unit 132 identifies the degree of impact on the user's daily life caused by the use of the user's mobile terminal 2, based on the usage record indicated by the usage record information acquired by the acquisition unit 131 and the user information acquired by the acquisition unit 131. For example, the storage unit 12 stores an impact calculation table for identifying the degree of impact on the user's daily life caused by the use of the user's mobile terminal 2. FIG. 4 is a diagram showing an example of the impact calculation table. As shown in FIG. 4, it can be seen that the impact calculation table associates the point-adding condition of the impact based on the usage record and the user information with the partial score for calculating the impact, which is given to the user when the point-adding condition is satisfied.

[0037] The conditions for adding points to the influence in the influence calculation table correspond to each of the multiple questions included in the self-influence calculation table, and it is determined whether or not the conditions are met based on, for example, actual use information for a predetermined period (for example, one week) and user information. For example, the condition for adding points in the influence calculation table, "average sleep time in one week is within 5 hours," corresponds to the question "I haven't been sleeping well recently" included in the self-influence calculation table. The influence calculation table may be provided for each attribute of the user, such as age and occupation, and the specification unit 132 may select an influence calculation table corresponding to the attribute of the user.

[0038] The identification unit 132 identifies the point-adding conditions that are satisfied among the point-adding conditions included in the impact calculation table, based on the usage record indicated by the usage record information acquired by the acquisition unit 131 and at least one of the behavioral state of the user's predetermined behavior, the user's emotion, and the user's health state indicated by the user information acquired by the acquisition unit 131. For example, for each of the multiple point-adding conditions included in the impact calculation table, the identification unit 132 identifies the number of times the point-adding condition is satisfied, based on the usage record in a predetermined period (e.g., one week) and at least one of the behavioral state of the user's predetermined behavior, the user's emotion, and the user's health state. Then, the identification unit 132 identifies the impact of the use of the user's mobile terminal 2 on the user's daily life by summing up the results of multiplication of the number of times the identified point-adding condition is satisfied and the partial score associated with the point-adding condition.

[0039] The identifying unit 132 identifies the user's degree of dependency on use of the portable terminal 2 based on the usage record indicated by the usage record information acquired by the acquiring unit 131, the user information, and a comparison result between the self-reported influence degree and the identified influence degree. Here, the user's degree of dependency on use of the portable terminal 2 is, for example, the user's degree of dependency on game play using the portable terminal 2. In the following, the description will be given assuming that the user's degree of dependency on use of the portable terminal 2 is the user's degree of dependency on game play using the portable terminal 2.

[0040] The identification unit 132 calculates a first score indicating the degree to which the user uses the game using the mobile terminal 2, based on the game usage record indicated by the usage record information acquired by the acquisition unit 131. For example, the storage unit 12 stores a first score calculation table for calculating a partial score constituting the first score, based on at least one of the game usage time, continuous usage time, usage time zone, usage frequency, charge for the game, and game usage time during a prohibited time zone. FIG. 5 is a diagram showing an example of the first score calculation table. In the example shown in FIG. 5, it can be seen that the score addition conditions corresponding to the game usage time, continuous usage time, and usage time zone are associated with the points of the partial score that is given to the user when the score addition conditions are satisfied. The first score calculation table may be provided for each attribute such as the age and occupation of the user, and the identification unit 132 may select a first score calculation table corresponding to the attribute of the user.

[0041] The determination unit 132 determines, from among the multiple point-adding conditions included in the first score calculation table, a point-adding condition that is satisfied by the user's game usage time, continuous usage time, usage time zone, usage frequency, and amount charged for the game. For example, for each of the multiple point-adding conditions included in the first score calculation table, the determination unit 132 determines the number of times that the point-adding condition is satisfied by the user's game usage time, continuous usage time, usage time zone, usage frequency, and amount charged for the game in a predetermined period (e.g., one week). Then, the determination unit 132 calculates the first score by summing up the results of multiplication of the number of times that the determined point-adding condition is satisfied by the partial score associated with the point-adding condition.

[0042] Furthermore, the identification unit 132 calculates a second score for calculating the user's dependency on use of the mobile terminal 2, based on at least one of the behavioral state of the predetermined behavior, the user's emotion, and the user's health state, which are indicated by the user information acquired by the acquisition unit 131. For example, the storage unit 12 stores a second score calculation table that associates points-adding conditions for the second score based on at least one of the behavioral state of the predetermined behavior, the user's emotion, and the user's health state with points of partial scores constituting the second score when the points-adding conditions are satisfied.

[0043] FIG. 6 is a diagram showing an example of a second score calculation table. In the example shown in FIG. 6, it can be seen that the point-adding condition based on the behavioral state of the predetermined behavior is associated with the points of the partial score given to the user when the point-adding condition is satisfied. The second score calculation table may be provided for each attribute of the user, and the specification unit 132 may select a second score calculation table corresponding to the attribute of the user. The specification unit 132 specifies a point-adding condition that is satisfied by at least one of the behavioral state of the predetermined behavior of the user, the user's emotion, and the user's health condition among a plurality of point-adding conditions included in the second score calculation table. For example, the specification unit 132 specifies the number of times that the point-adding condition is satisfied by at least one of the behavioral state of the predetermined behavior of the user, the user's emotion, and the user's health condition in a predetermined period (for example, one week) for each of a plurality of point-adding conditions included in the second score calculation table. The specification unit 132 calculates the second score by summing up the results of multiplication of the number of times of the specified point-adding condition and the partial score associated with the point-adding condition.

[0044] The identification unit 132 identifies the degree of dependency on the user's use of the mobile terminal 2 based on a calculation result obtained by multiplying the calculated first score and second score by a coefficient based on a comparison result between the self-reported influence degree and the influence degree. The coefficient is used to increase or decrease the multiplication result of the first score and the second score, and is, for example, a numerical value equal to or less than 2. The identification unit 132 identifies the coefficient based on a comparison result between the self-reported influence degree and the influence degree.

[0045] Specifically, when the identification unit 132 determines that the difference between the self-reported influence and the identified influence is equal to or greater than a predetermined amount, it identifies the self-reported influence as a factor that increases the degree of dependency, and sets the value of the coefficient to a value greater than 1 and equal to or less than 2. For example, when the self-reported influence is smaller than the identified influence and the difference between the self-reported influence and the identified influence is equal to or greater than a predetermined amount, the identification unit 132 increases the value of the coefficient the greater the difference between the self-reported influence and the identified influence. As a result, the calculation result of multiplying the coefficient by the multiplication result of the first score and the second score is greater than the calculated multiplication result of the first score and the second score.

[0046] On the other hand, when the self-reported impact level is smaller than the identified impact level and the difference between the self-reported impact level and the identified impact level does not satisfy the requirement of being equal to or greater than a predetermined amount, the identification unit 132 does not identify the self-reported impact level as a factor increasing the dependency level, and sets the value of the coefficient to a value equal to or less than 1. As a result, the calculation result of multiplying the multiplication result of the first score and the second score by the coefficient becomes equal to or less than the multiplication result of the calculated first score and the second score.

[0047] Furthermore, when the self-reported degree of influence is greater than the specified degree of influence, it is considered that the user is seriously affected physically or emotionally even if the game time is short. Therefore, when the self-reported degree of influence is greater than the specified degree of influence, the determination unit 132 may set the value of the coefficient to a value greater than 1 and equal to or less than 2. In this case, the determination unit 132 may increase the value of the coefficient as the difference between the self-reported degree of influence and the specified degree of influence increases.

[0048] The storage unit 12 stores a dependency specification table in which the range of the calculation result obtained by multiplying the multiplication result of the first score and the second score by a coefficient based on the comparison result between the self-reported influence degree and the influence degree is associated with the dependency degree. Fig. 7 is a diagram showing an example of the dependency degree table. As shown in Fig. 7, it can be confirmed that the dependency degree is associated with each of a plurality of ranges of the calculation result.

[0049] In the example shown in FIG. 7, the degree of dependency is shown in three stages, such as "high", "medium", and "low", but the present invention is not limited thereto. For example, the degree of dependency may be shown by a numerical value between 0 and 100, or the degree of dependency may be shown in more stages than "high", "medium", and "low". The identification unit 132 refers to the dependency table and identifies the degree of dependency corresponding to the calculated calculation result as the degree of dependency on the use of the mobile terminal 2 of the user. The identification unit 132 identifies the degree of dependency on the use of the mobile terminal 2 of the user based on the multiplication result of the calculated first score and the second score, but the present invention is not limited thereto. The identification unit 132 may identify the degree of dependency on the use of the mobile terminal 2 of the user based on the addition result of the calculated first score and the second score.

[0050] [Select the improvement method] Next, a function of the control unit 13 for selecting an improvement method for improving the user's dependency on the use of the mobile terminal 2 will be described. First, the acquisition unit 13 acquires stage information indicating a stage of the user's attitude toward the dependency on the use of the mobile terminal 2. The stage of the user's attitude may be identified based on at least one of the answer to a question for determining the stage among a plurality of questions included in the self-influence degree calculation table shown in FIG. 3 and the difference between the self-reported influence degree indicated by the self-reported information acquired by the acquisition unit 131 and the influence degree identified by the identification unit 132, for example.

[0051] For example, when identifying based on the difference between the self-reported impact level and the impact level, the range of the difference obtained by subtracting the self-reported impact level from the identified impact level is associated with the stage and stored in the storage unit 12, and the acquisition unit 131 calculates the difference by subtracting the user's self-reported impact level from the impact level identified for the user, and identifies the stage associated with the difference. Note that the stage of the user's attitude may be identified by the user being interviewed by a specialist in mobile device addiction, such as a doctor.

[0052] There are five stages in the way a user deals with addiction, for example: the indifference stage, the interest stage, the preparation stage, the action stage, and the maintenance stage. The indifference stage is, for example, a stage where the user does not consider or is unaware of the future negative effects of the addiction. The interest stage is, for example, a stage where the user is aware of the future negative effects of the addiction but has a negative attitude toward changing their behavior toward the addiction. The preparation stage is a stage where the user has the intention to improve the addiction and takes action to improve. The action stage is a state where the user takes action to improve the addiction, but the improvement action is not permanent. The maintenance stage is a state where the user takes action to improve the addiction more permanently than in the action stage.

[0053] The acquisition unit 131 acquires, for example, from a terminal of an addiction expert, a terminal of a related person of the user, or the user's mobile terminal 2, stage information indicating the stage of how the user is dealing with the addiction as determined by an expert.

[0054] The selection unit 133 selects, from among a plurality of improvement methods for improving the user's state of dependency on use of the mobile terminal 2, an improvement method that corresponds to the degree of dependency identified by the identification unit 132. Specifically, the selection unit 133 selects, from among the plurality of improvement methods, an improvement method that corresponds to the stage indicating the user's way of dealing with the dependency identified based on at least one of the answers to questions for determining the stage, the self-reported degree of impact, or the expert's interview, and the degree of dependency identified by the identification unit 132.

[0055] For example, the storage unit 12 stores a method selection table that associates a stage indicating how the user deals with the dependency indicated by the stage information, a degree of dependency, and an improvement method. Fig. 8 is a diagram showing an example of the method selection table. As shown in Fig. 8, it can be seen that one or more improvement methods corresponding to each of a plurality of degrees of dependency are associated with each of a plurality of stages indicating how the user deals with the dependency.

[0056] 8 shows the improvement methods including, but not limited to, a method of notifying various information, family therapy, presentation of alternative behavior, and presentation of coping. For example, the improvement methods may include various improvement methods such as cognitive behavioral therapy, coaching, a method of suggesting to move the mobile terminal away from the field of vision, and a method of presenting questions to increase the user's motivation to improve.

[0057] The selection unit 133 refers to the method selection table and identifies an improvement method associated with the stage indicating how the user deals with the dependency indicated by the stage information acquired by the acquisition unit 131 and the degree of dependency identified by the identification unit 132.

[0058] The selection unit 133 may select an improvement method further based on other information. For example, the selection unit 133 may select an improvement method further based on at least one of the user's degree of understanding of the dependency state on use of the mobile terminal 2 and the user's degree of willingness to improve the dependency state.

[0059] In this case, the acquisition unit 131 acquires understanding level information indicating the degree of understanding of the user's dependency state related to use of the mobile terminal 2 and motivation information indicating the degree of motivation for improving the dependency state. For example, the acquisition unit 131 includes questions for identifying the degree of understanding of the dependency state related to use of the mobile terminal 2 and the degree of motivation for improving the dependency state in the self-influence calculation table shown in Fig. 3, displays the questions on the mobile terminal 2, and acquires answer information indicating the answers to the questions from the mobile terminal 2.

[0060] The acquiring unit 131 acquires the understanding level information and the motivation information by identifying the understanding level indicating the degree of understanding of the user's dependency state related to use of the mobile terminal 2 and the motivation level indicating the degree of motivation for improving the dependency state based on the acquired answer information. Note that, although the acquiring unit 131 acquires the understanding level information and the motivation information, it may acquire either the understanding level information or the motivation information.

[0061] The selection unit 133 may select an improvement method based on the degree of dependency identified by the identification unit 132 and the degree of understanding indicated by the understanding information acquired by the acquisition unit 131 or the degree of motivation indicated by the motivation information. In this case, for example, an improvement method is associated with each stage indicating how to deal with dependency, for each degree of dependency, and for each level of understanding or motivation in the method selection table shown in Fig. 8. The selection unit 133 identifies an improvement method associated with the stage indicating how the user deals with dependency indicated by the stage information acquired by the acquisition unit 131, the level of understanding indicated by the understanding information or the motivation indicated by the motivation information, and the degree of dependency identified by the identification unit 132.

[0062] [Output of impact comparison results, dependency and improvement methods] Next, a function of the control unit 13 to output the comparison result of the influence degree, the degree of dependency, and an improvement method will be described. The output unit 134 outputs to the user's mobile terminal 2 the comparison result between the self-reported impact degree and the impact degree identified by the identification unit 132, dependency information indicating the dependency degree identified by the identification unit 132, and improvement method information indicating the improvement method selected by the selection unit 133. For example, when the dependency improvement program is being executed, the mobile terminal 2 transmits to the information processing device 1 an acquisition request for the comparison result between the self-reported impact degree and the impact degree, the dependency degree, and the improvement method. In response to receiving the acquisition request from the mobile terminal 2, the output unit 134 transmits to the mobile terminal 2 a determination result screen indicating the comparison result between the self-reported impact degree and the impact degree, the dependency degree identified by the identification unit 132, and the improvement method selected by the selection unit 133, and causes the mobile terminal 2 to display the determination result screen.

[0063] Fig. 9 is a diagram showing an example of a judgment result screen. The judgment result screen shown in Fig. 9 is a judgment result screen of a user whose stage showing how to deal with addiction is the indifference stage, and it can be confirmed that the user's addiction level is "medium" and that information corresponding to "notification of the negative effects of addiction" and "notification to keep mobile terminals out of sight", which are improvement methods when the stage is the indifference stage, is displayed. It can also be confirmed that the degree of deviation indicating the comparison result between the self-reported impact level and the impact level identified by the identification unit 132 is "large".

[0064] In this way, the user can confirm his / her own dependency and can recognize how much the impact of the use of the mobile terminal 2 on daily life that the user recognizes differs from the actual impact. The user can also confirm an improvement method suitable for the stage indicating how the user is dealing with the dependency. The output unit 134 may include, in the determination result screen, information indicating the stage indicating how the user is dealing with the dependency acquired by the acquisition unit 131 and information explaining the stage. In addition, when the degree of deviation between the self-reported impact degree and the impact degree identified by the identification unit 132 is larger than a predetermined degree of deviation, the output unit 134 may include, in the determination result screen, information indicating problems caused by the large degree of deviation and a method for reducing the degree of deviation.

[0065] Furthermore, the output unit 134 may output information indicating the comparison result between the self-reported influence degree and the influence degree to a terminal of a related person of the user or a terminal of an expert on mobile terminal dependence. For example, the comparison result between the self-reported influence degree and the influence degree is output to a terminal of an expert on mobile terminal dependence, and the expert checks the comparison result, so that the expert can reassess the stage at which the user is dealing with the dependence on the use of the mobile terminal 2 based on the comparison result.

[0066] [Reselection of improvement method] After the determination result screen showing the degree of dependency and the improvement method is displayed on the mobile terminal 2, it is preferable to continuously identify whether the user's dependency on use of the mobile terminal 2 is improving according to the improvement method, and to support the user. In response to this, the control unit 13 has a function of reselecting the improvement method based on the improvement status of the user's dependency on use of the mobile terminal 2. The function related to reselection of the improvement method by the control unit 13 will be described below.

[0067] For example, the acquisition unit 131 acquires usage history information, user information, and self-reported information corresponding to each of the multiple dates and times. Then, the identification unit 132 identifies an impact degree corresponding to each of the multiple dates and times based on the usage history and user information indicated by the usage history information corresponding to each of the multiple dates and times, and the output unit 134 stores in the storage unit 12 comparison history information including a comparison result between the self-reported impact degree corresponding to each of the multiple dates and times and the identified impact degree.

[0068] The acquiring unit 131 acquires the usage history information, the user information, and the self-reported information, for example, at predetermined time intervals (for example, one week or one month). Then, the identifying unit 132 identifies the degree of influence at predetermined time intervals based on the usage history information and the user information acquired at the predetermined time intervals.

[0069] The output unit 134 associates the comparison results between the self-reported impact level and the impact level acquired at predetermined time intervals with the self-reported impact level and the time corresponding to the impact level, and stores them as comparison history information in the storage unit 12. The output unit 134 determines whether the difference between the self-reported impact level and the impact level identified by the identification unit 132 is decreasing over time, based on the multiple comparison results indicated by the comparison history information. Then, the output unit 134 selects an improvement method for improving the user's dependency on the use of the mobile terminal 2 corresponding to the result of the determination.

[0070] For example, when the difference between the self-reported influence and the influence identified by the identification unit 132 becomes smaller over time, the output unit 134 selects a new improvement method for improving the dependency on the use of the mobile terminal 2, which is to praise the user and present a message to continue the already presented improvement method. When the difference between the self-reported influence and the influence identified by the identification unit 132 does not become smaller, the selection unit 133 selects a new improvement method for presenting a problem caused by the self-reported influence and the influence (actual influence) identified by the identification unit 132 being large, or a new improvement method for presenting a deeper awareness of the user's use of the mobile terminal 2 by having the user write a diary. In this way, the information processing device 1 can appropriately follow up with the user on the improvement state of the deviation between the self-reported influence and the actual influence.

[0071] [Effects of information processing device 1] As described above, the information processing device 1 according to the present embodiment acquires usage record information indicating the usage record of the user's mobile terminal 2, user information which is information on the behavioral status of the user's predetermined behavior, the user's emotions, or the user's health condition, and self-reported information indicating the self-reported impact level which is the impact level of the user's use of the mobile terminal 2 on the user's daily life, as reported by the user. Then, the information processing device 1 identifies the impact level of the user's use of the mobile terminal 2 on the user's daily life based on the usage record indicated by the acquired usage record information and the acquired user information, and outputs a comparison result between the self-reported impact level indicated by the self-reported information and the identified impact level. In this way, the information processing device 1 identifies the degree to which the impact level of the addiction on the daily life that the user thinks is different from the actual impact level, and allows the user to recognize the degree of the difference. In particular, in recent years, gaming addiction has been recognized as gaming behavior disorder, and the information processing device 1 identifies the degree of addiction to game use based on the self-reported impact level indicated by the self-reported information and the identified impact level, and presents the user with an improvement method corresponding to the addiction, thereby improving the state of gaming behavior disorder.

[0072] Furthermore, this invention will make it possible to contribute to Goal 9 of the United Nations' Sustainable Development Goals (SDGs), which is to "build resilient infrastructure, promote industry, innovation and infrastructure."

[0073] Although the present invention has been described above using the embodiments, the technical scope of the present invention is not limited to the scope described in the above embodiments, and various modifications and changes are possible within the scope of the gist of the present invention. For example, in the above embodiment, the information processing device 1 identifies the degree of dependency of the user on playing games using a mobile terminal based on the user's usage record of games using the mobile terminal 2, and identifies an improvement method based on the degree of dependency, but the present invention is not limited to this.

[0074] The information processing device 1 may identify whether the user is addicted to the use of the mobile terminal 2 itself, based on the usage history of the mobile terminal 2, or may identify whether the user is addicted to the use of a specific application executed on the mobile terminal 2. For example, the information processing device 1 may identify the degree of addiction of the user of the mobile terminal 2 to gambling, based on the usage history of a betting application for horse racing or boat racing executed on the mobile terminal 2.

[0075] The information processing device 1 may also acquire location information indicating the location of the mobile terminal 2, and identify the user's degree of addiction to gambling or pachinko based on the frequency with which the location information indicates that the location information is located at a betting venue for horse racing or boat racing or a pachinko parlor, and on behavioral information indicating the behavioral status of a predetermined behavior of the user. The information processing device 1 may also identify the degree of addiction of the mobile terminal 2 to a social networking service (SNS) based on the display history of the SNS displayed on the mobile terminal 2 and the usage history of the SNS application.

[0076] In addition, the information processing device 1 may acquire self-reported information indicating a self-reported impact level, which is the impact of the user's gambling on the user's daily life, and may identify the impact of the user's gambling on the user's daily life based on the usage history of a horse racing or boat racing betting application executed on the mobile terminal 2, and output a comparison result between the self-reported impact level and the identified impact level to the mobile terminal 2.

[0077] In addition, in the above-described embodiment, the control unit 13 of the information processing device 1 as a server functions as the acquisition unit 131, the identification unit 132, the selection unit 133, and the output unit 134, but this is not limited to the above. The control unit of the portable terminal 2 may function as the acquisition unit 131, the identification unit 132, the selection unit 133, and the output unit 134 by executing a program that functions as the acquisition unit 131, the identification unit 132, the selection unit 133, and the output unit 134.

[0078] In addition, all or part of the device can be configured in a functionally or physically distributed or integrated manner in any unit. Also, new embodiments resulting from any combination of multiple embodiments are included in the embodiments of the present invention. The effect of the new embodiment resulting from the combination also has the effect of the original embodiment. [Explanation of symbols]

[0079] 1. Information processing device 11 Communications Department 12 Storage section 13 Control section 131 Acquisition Department 132 Specific part 133 Selection Section 134 Output section 2. Mobile devices

Claims

1. an acquisition unit that acquires usage record information indicating a usage record of a user's mobile device, user information that is information regarding a behavioral state of a predetermined behavior of the user, an emotion of the user, or a health condition of the user, and self-reported information indicating a self-reported impact level that is an impact level of the user's daily life due to the use of the mobile device by the user; an identification unit that identifies a degree of impact on a daily life of the user due to the user's use of the mobile terminal based on the usage history indicated by the usage history information acquired by the acquisition unit and the user information acquired by the acquisition unit; an output unit that outputs a comparison result between the self-reported impact level indicated by the self-reported information acquired by the acquisition unit and the impact level identified by the identification unit; An information processing device having the above configuration.

2. the identification unit identifies a degree of dependency on use of the mobile device by the user based on a comparison result between the self-reported influence degree and the identified influence degree. The information processing device according to claim 1 .

3. a selection unit that selects an improvement method corresponding to the degree of dependency identified by the identification unit from among a plurality of improvement methods for improving the user's state of dependency on the use of the mobile device; The output unit outputs information indicating the improvement method selected by the selection unit to the mobile terminal of the user. The information processing device according to claim 2 .

4. The acquisition unit further acquires understanding level information indicating a level of understanding of the user's dependency on use of the portable terminal or motivation information indicating a level of motivation for improving the dependency, The selection unit selects an improvement method for improving the user's dependency on use of the portable device based on the degree of dependency identified by the identification unit and the degree of understanding indicated by the understanding level information or the degree of motivation indicated by the motivation information acquired by the acquisition unit. The information processing device according to claim 3 .

5. the identifying unit identifies the factor as increasing the degree of dependency when it is satisfied that a difference between the self-reported impact degree and the impact degree identified by the identifying unit is equal to or greater than a predetermined amount. The information processing device according to claim 2 .

6. the acquiring unit acquires the usage history information, the user information, and the self-reported information corresponding to each of a plurality of dates and times; The identification unit identifies the degree of influence corresponding to each of the plurality of dates and times based on the user information and a usage record indicated by the usage record information corresponding to each of the plurality of dates and times; the output unit stores in a storage unit comparison history information including a comparison result between the self-reported impact level corresponding to each of the multiple dates and times and the impact level identified by the identification unit, and determines whether a difference between the self-reported impact level and the impact level identified by the identification unit is becoming smaller over time based on the multiple comparison results stored in the storage unit, and selects an improvement method for improving the user's dependency on the use of a mobile device corresponding to the result of the determination. The information processing device according to claim 1 .

7. the acquiring unit acquires the usage record information indicating a usage record of a predetermined game executed on the mobile terminal of the user, and the self-reported information indicating a self-reported influence level, which is an influence level of the user's use of the predetermined game on the daily life, as reported by the user; the identification unit identifies a degree of impact of the user's use of the predetermined game on the user's daily life based on the usage history of the predetermined game indicated by the usage history information and at least one of the behavioral status of the predetermined behavior, the emotion, and the health state of the user indicated by the user information acquired by the acquisition unit; the output unit outputs a comparison result between the self-reported impact level, which is an impact level of the user's use of the specified game on the daily life indicated by the self-reported information acquired by the acquisition unit, and the impact level of the user's use of the specified game on the daily life identified by the identification unit. The information processing device according to claim 1 .

8. The computer executes acquiring usage record information indicating a usage record of a user's mobile device, user information being information regarding a behavioral state of a predetermined behavior of the user, an emotion of the user, or a health condition of the user, and self-reported information indicating a self-reported impact level, which is an impact level of the user's daily life due to the use of the mobile device by the user, as reported by the user; determining a degree of impact of the user's use of the mobile terminal on the user's daily life based on the usage history indicated by the acquired usage history information and the acquired user information; a step of outputting a comparison result between the self-reported impact level indicated by the acquired self-reported information and the identified impact level; An information processing method comprising the steps of:

9. Computer, an acquisition unit that acquires usage record information indicating a usage record of a user of a mobile device, user information being information regarding a behavioral state of a predetermined behavior of the user, an emotion of the user, or a health condition of the user, and self-reported information indicating a self-reported impact level, which is an impact level of the user's daily life due to the use of the mobile device by the user; an identification unit that identifies a degree of impact on a daily life of the user due to the user's use of the mobile terminal based on the usage history indicated by the usage history information acquired by the acquisition unit and the user information acquired by the acquisition unit; and an output unit that outputs a comparison result between the self-reported impact level indicated by the self-reported information acquired by the acquisition unit and the impact level identified by the identification unit; A program that functions as a

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