Information processing device, information processing method, and program
The information processing device addresses the challenge of determining user dependency on mobile terminals by analyzing usage records and behavior information, selecting appropriate improvement methods, and enhancing user awareness and control over their usage.
Patent Information
- Application Number
- JP2023185862
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2023-10-30
- Publication Date
- 2025-05-14
AI Technical Summary
Conventional systems are unable to effectively determine a user's dependency on mobile terminals and provide appropriate improvements, as they primarily restrict application use based on time without assessing the user's dependency state.
An information processing device that acquires usage records and behavior information to identify the user's dependency state, selects suitable improvement methods, and outputs instructions to the user's mobile terminal.
Enables users to identify and improve their dependency on mobile terminals by providing tailored improvement methods based on their assessed dependency state.
Smart Images

Figure 2025074805000001_ABST
Abstract
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, in order to improve a user's dependency on the use of a mobile device, it is preferable to grasp the user's state, such as the degree to which the user is dependent on the use of a mobile device and the degree to which the user's dependency has improved, etc. However, conventional systems only restrict the use of a network application to be monitored based on the time that the application is processed in the foreground, and have the problem of being unable to identify the user's state.
[0006] The present invention has been made in consideration of these points, and has an object to make it possible to identify a user's state regarding addiction. [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 and understanding behavior information indicating at least one of the user's degree of understanding of the user's dependence on use of a mobile device and the user's behavioral history for improving the dependence on use of a mobile device, an identification unit that identifies which of a plurality of user states indicating at least one of a dependence state on use of a mobile device and an improvement state from the dependence state the user falls into based on the usage history indicated by the usage history information acquired by the acquisition unit and at least one of the degree of understanding and the behavioral history indicated by the understanding behavior information acquired by the acquisition unit, and an output unit that outputs user status information indicating the user status identified by the identification unit.
[0008] The acquisition unit may further acquire behavioral information indicating a behavioral status of a specified behavior of the user, and the identification unit may further identify which of the multiple user states the user falls into based on the behavioral status indicated by the behavioral information.
[0009] The information processing device may further have a selection unit that selects, from among a plurality of improvement methods for improving the dependency state, the improvement method that corresponds to the user state identified by the identification unit, and the output unit may output information indicating the improvement method selected by the selection unit to the user's mobile terminal.
[0010] The acquisition unit may further acquire behavioral history information indicating the user's behavioral history after the output unit outputs information indicating the improvement method selected by the selection unit, and the identification unit may identify whether the user is following the improvement method selected by the selection unit based on the behavioral history information, and when the identification unit determines that the user is not following the improvement method, the selection unit may select instruction information instructing the user to execute the improvement method or another improvement method different from the improvement method, and the output unit may output the instruction information or information indicating the other improvement method.
[0011] When there is no change between the past user state identified by the identification unit and the current user state identified by the identification unit, the selection unit may select another improvement method from the improvement methods corresponding to the user state that is different from the improvement method selected based on the past user state identified by the identification unit, and the output unit may output information indicating the other improvement method.
[0012] Each of the multiple improvement methods is associated with a priority used by the selection unit to select the improvement method, and the identification unit identifies whether a change state from the identified past user state to the identified current user state is an improvement state, and if the identification unit determines that the change state is not an improvement state, the selection unit may lower the priority associated with the improvement method selected based on the previous user state identified by the identification unit.
[0013] The output unit may, when a change state from the past user state identified by the identification unit to the current user state identified by the identification unit is a worsening state, output worsening state information indicating the worsening state to a terminal of a related party who has a specified relationship with the user, when the change state is an improvement state, output improved state information indicating the improvement state to the terminal, and when the change state is a maintained improved state, output maintained state information indicating the maintained improved state to the terminal.
[0014] The user's history of mobile device usage may be the user's history of using games using a mobile device, the user's degree of understanding of their addiction to mobile device use may be the user's degree of understanding of their addiction to using games using a mobile device, and the user's behavioral history for improving addiction to mobile device use may be the user's behavioral history for improving addiction to using games using a mobile device.
[0015] An information processing method according to a second aspect of the present invention includes the steps of acquiring usage history information indicating a user's usage history of a mobile device and understanding behavior information indicating at least one of the user's degree of understanding of the user's dependence on mobile device use and the user's behavioral history for improving from the dependence on mobile device use, executed by a computer; identifying which of a plurality of user states indicating at least one of a state of dependence on mobile device use and a state of improvement from the dependence state the user falls into, based on the usage history indicated by the acquired usage history information and at least one of the degree of understanding and the behavioral history indicated by the acquired understanding behavior information; and outputting user status information indicating the identified user status.
[0016] 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 and understanding behavior information indicating at least one of the user's degree of understanding of the user's dependence on mobile device use and the user's behavioral history for improving from the dependence on mobile device use, an identification unit that identifies which of a plurality of user states indicating at least one of a state of dependence on mobile device use and a state of improvement from the dependence state the user falls into based on the usage history indicated by the usage history information acquired by the acquisition unit and at least one of the degree of understanding and the behavioral history indicated by the understanding behavior information acquired by the acquisition unit, and an output unit that outputs user status information indicating the user status identified by the identification unit. Effect of the Invention
[0017] According to the present invention, it is possible to identify a user's state regarding addiction. [Brief description of the drawings]
[0018] [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 determination table. [Figure 4] FIG. 13 is a diagram showing an example of a game usage score calculation table. [Diagram 5] FIG. 13 is a diagram illustrating an example of a behavioral influence score calculation table. [Figure 6] FIG. 13 is a diagram illustrating an example of a motivation score calculation table. [Figure 7] FIG. 13 is a diagram illustrating an example of a method selection table. [Figure 8] FIG. 13 is a diagram showing an example of a determination result screen. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS
[0019] [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 computer that identifies a user state of a user who uses a mobile terminal 2. The user state is, for example, a user state that indicates at least one of a state of dependency on the use of the mobile terminal 2 and an improved state from the state of dependency on the use of the mobile terminal 2.
[0020] The user state indicating the state of dependency on the use of the portable terminal 2 is, for example, a state indicated by a degree of dependency indicating the degree of dependency on the use of the portable terminal 2. The degree of dependency is, for example, an index determined based on the user's track record of using the portable terminal 2. The user state indicating the state of improvement from the state of dependency on the use of the portable terminal 2 is, for example, a state indicated by a degree of motivation indicating the degree of motivation of the user to improve the dependency on the use of the portable terminal 2. The degree of motivation is, for example, an index determined based on at least one of the degree of understanding of the user's dependency on the use of the portable terminal 2 and the user's track record of actions to improve from the dependency on the use of the portable terminal 2. The information processing device 1 is communicably connected to the portable terminal 2 used by the user.
[0021] 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 2. The information processing device 1, for example, acquires usage history information and understanding behavior information from the mobile terminal 2 ((1) in FIG. 1). The usage history information is information indicating the user's usage history of the mobile terminal 2. The understanding behavior information is information indicating at least one of the user's degree of understanding of the dependency on the use of the mobile terminal 2 and the user's behavioral history for improving the dependency on the use of the mobile terminal 2.
[0022] The information processing device 1 identifies which of a plurality of user states the user belongs to based on the acquired usage history information and the acquired understanding behavior information ((2) in FIG. 1). Then, the information processing device 1 outputs user state information indicating the identified user state to the mobile terminal 2 ((3) in FIG. 1). In this way, the information processing device 1 can identify the user's state with respect to addiction.
[0023] [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.
[0024] 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, an identification unit 132, a selection unit 133, and an output unit 134. The storage unit 12 also stores a determination table for determining the user state.
[0025] Fig. 3 is a diagram showing an example of a judgment table. The judgment table shown in Fig. 3(a) is a diagram showing an example of a dependency judgment table in which a dependency judgment range and a dependency are associated and stored. The dependency judgment range is a range of values used to identify the dependency, and specifically, a range of values that indicates the user's behavior related to the magnitude of the dependency. The dependency judgment range is a range set by, for example, the user, a related person having a predetermined relationship with the user (for example, the user's family, etc.), an expert on dependency on the mobile terminal 2 such as a doctor, or an administrator of the information processing device 1.
[0026] As shown in FIG. 3(a), it can be seen that a degree of dependency is associated with each of a plurality of dependency determination ranges. The numerical values of the dependency determination ranges in the dependency determination table shown in FIG. 3(a) are, for example, scores calculated based on the time or frequency of a user playing a game on the mobile terminal 2 in a predetermined period (for example, one week), or the time and frequency of a user playing a game on the mobile terminal 2 in a predetermined period, but may also be numerical values corresponding to the behavior of other users. Note that in the example shown in FIG. 3(a), the degree of dependency is shown in three stages, such as "high", "medium", and "low", but this is not limiting, and the degree of dependency may be shown with a numerical value between 0 and 100, or with more stages than "high", "medium", and "low", or with fewer stages than "high", "medium", and "low", such as "high", "low", "yes", and "no".
[0027] The dependency level determination range may be set for each person's attribute (e.g., age, status, occupation, gender, etc.). In this case, the storage unit 12 stores, for each person's attribute, a dependency level determination table corresponding to the attribute.
[0028] The determination table shown in FIG. 3(b) is a diagram showing an example of a motivation level determination table that stores motivation levels in association with motivation level determination ranges. The motivation level determination range is a range of values used to identify motivation levels, and more specifically, a range of values that represents the user's understanding or behavior related to motivation levels. The motivation level determination range is a range set by, for example, the user, a person concerned who has a predetermined relationship with the user (e.g., the user's family, etc.), a doctor or other expert on dependency on the mobile terminal 2, or an administrator of the information processing device 1.
[0029] There are five stages of motivation, 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.
[0030] In the example shown in FIG. 3(b), the motivation level is shown in five stages, namely, "indifferent stage", "interest stage", "preparation stage", "action stage", and "maintenance stage". However, the motivation level may be shown in three stages, such as "high", "medium", and "low", or may be shown as a number between 0 and 100, for example.
[0031] As shown in Fig. 3(b), it can be seen that a motivation level is associated with each of the multiple motivation level determination ranges. The numerical value of the motivation level determination range in the motivation level determination table shown in Fig. 3(b) is, for example, a score calculated based on at least one of the degree of understanding of the user's dependency on the use of the mobile terminal 2 and the user's behavioral track record for improving the dependency on the use of the mobile terminal 2, but may also be a numerical value corresponding to the understanding or behavior of other users.
[0032] The motivation level determination range may be set for each person's attribute. In this case, the storage unit 12 stores, for each person's attribute, a motivation level determination table corresponding to the attribute.
[0033] 2, 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 to function as an acquisition unit 131, a specification unit 132, a selection unit 133, and an output unit 134.
[0034] [Identifying user status] First, the function of identifying the user state of the user among the functions of the control unit 13 will be described.
[0035] The acquisition unit 131 acquires usage history information indicating the user's usage history of the mobile terminal 2, and understanding behavior information indicating at least one of the user's degree of understanding of dependence on the use of the mobile terminal 2 and the user's behavior history.
[0036] 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 the 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 the 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 the game executed on the mobile terminal 2.
[0037] 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.
[0038] The degree of understanding of the user's addiction to the use of the mobile terminal 2 is, for example, the degree of understanding of the user's addiction to playing games using the mobile terminal 2. The degree of understanding of the user's addiction to the use of the mobile terminal 2 is specified, for example, by the answer result of a first questionnaire for confirming the user's understanding of the addiction to the use of the mobile terminal 2. The first questionnaire includes a plurality of questions such as "Do you ever play games for long periods of time?" and "Do you ever neglect your work or responsibilities at home in order to spend more time playing games?", and the user answers each question by selecting the corresponding option from a plurality of options such as two options of "yes" and "no" or five options of "never", "rarely", "sometimes", "often", and "always".
[0039] For example, the mobile terminal 2 displays the first questionnaire on its display unit while executing the dependency improvement program. The first questionnaire may be determined for each person's attribute. For example, the first questionnaire for children includes questions for checking the state of the relationship between parents and children, such as "Do you communicate with your parent?", "Do you communicate with your parent often?", "Do you get praised by your parent?", and "Do you get praised by your parent for improving your dependency on game use?". In this case, the mobile terminal 2 receives the user's attributes while executing the dependency improvement program, and displays the first questionnaire corresponding to the received user's attributes on its display unit. When the mobile terminal 2 receives the answer to the first questionnaire, it transmits the answer information of the first questionnaire to the information processing device 1.
[0040] The acquisition unit 131 acquires answer information to the first questionnaire, and acquires the acquired answer information to the first questionnaire as understanding behavior information indicating the degree of understanding of the user's dependence on use of the mobile terminal 2. Note that the acquisition unit 131 may acquire the understanding behavior information indicating the degree of understanding of the user's dependence on use of the mobile terminal 2 by displaying the first questionnaire on a terminal of a related person (e.g., the user's family member, etc.) who has a predetermined relationship with the user, and accepting an answer to the first questionnaire from the related person of the user.
[0041] The user's behavioral performance for improving the addiction to the use of the portable terminal 2 is, for example, the user's behavioral performance for improving from the addiction to playing games using the portable terminal 2. The user's behavioral performance for improving the addiction to the use of the portable terminal 2 is, for example, the performance of the user implementing an improvement method presented for improving the addiction to the use of the portable terminal 2.
[0042] For example, the portable terminal 2 displays the improvement method on its display unit while executing the dependency improvement program. The portable terminal 2 acquires, as the understanding behavior information, information indicating at least one of the implementation time, implementation frequency, and implementation state (e.g., not implemented, being implemented, implementation completed, etc.) of the improvement method implemented by the user using the portable terminal 2. For example, the acquisition unit 131 acquires, from the portable terminal 2, history information indicating the implementation history of the improvement method implemented by the user using the portable terminal 2, and acquires information indicating at least one of the implementation time, implementation frequency, and implementation state of the improvement method implemented by the user using the portable terminal 2 by analyzing the history information.
[0043] Furthermore, the user's behavioral track record for improving the dependency on the use of the mobile terminal 2 may be the track record of the behavior that the user voluntarily undertook to improve the dependency on the use of the mobile terminal 2. The acquisition unit 131 may acquire the understanding behavior information, for example, by accepting an input of the track record of the behavior that the user voluntarily undertook to improve the dependency on the use of the mobile terminal 2. Furthermore, for example, the first questionnaire includes a question for identifying the track record of the behavior that the user voluntarily undertook to improve the dependency on the use of the mobile terminal 2, and the acquisition unit 131 may acquire the understanding behavior information by acquiring answer information to the question for identifying the track record of the behavior that the user voluntarily undertook to improve the dependency on the use of the mobile terminal 2 in the first questionnaire.
[0044] The acquisition unit 131 may further acquire attribute information indicating the attributes of the user. The user attributes are, for example, the user's age, status, occupation, and sex. For example, when the dependency improvement program is executed for the first time in the mobile terminal 2, or when a request to set the user's attributes is received during execution of the dependency improvement program in the mobile terminal 2, the mobile terminal 2 displays a setting screen for setting the attributes on its display unit and receives the user's attributes. When the mobile terminal 2 receives the user's attributes, it transmits attribute information indicating the received attributes and a user ID previously assigned to the user to the information processing device 1. The acquisition unit 131 acquires the user ID and attribute information acquired from the mobile terminal 2, and associates the acquired user ID with the attribute information and stores them in the storage unit 12 as user information.
[0045] The identification unit 132 identifies which of a plurality of user states indicating a state of dependency on the use of the portable terminal 2 the user falls under, based on the usage record indicated by the usage record information acquired by the acquisition unit 131. The user state indicating a state of dependency on the use of the portable terminal 2 is, for example, a state indicated by a degree of dependency indicating a degree of dependency on the use of the portable terminal 2. The degree of dependency indicating a degree of dependency on the use of the portable terminal 2 is, for example, the user's degree of dependency on the use of games using the portable terminal 2. In the following description, it is assumed that the user state indicating a state of dependency on the use of the portable terminal 2 is the user's degree of dependency on the use of games using the portable terminal 2. The identification unit 132 identifies the degree of dependency of the user, for example, by executing the following two steps.
[0046] As a first step, the identification unit 132 calculates a game usage score indicating the degree to which the user uses games 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, a higher game usage score indicates a higher degree to which the user uses games using the mobile terminal 2. For example, the memory unit 12 stores a game usage score calculation table for calculating partial scores constituting the game usage score, based on at least any one of game usage time, continuous usage time, usage time zone, usage frequency, amount charged for the game, and game usage time during prohibited time zone.
[0047] Fig. 4 is a diagram showing an example of a game usage score calculation table. In the example shown in Fig. 4, it can be seen that the points-adding conditions corresponding to the game usage time, continuous usage time, and usage time zone are associated with the partial score points that are given to the user when the points-adding conditions are satisfied.
[0048] The determination unit 132 determines, from among a plurality of point-adding conditions included in the game usage 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 a plurality of point-adding conditions included in the game usage 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, for each point-adding condition, the determination unit 132 multiplies the number of times that the identified point-adding condition occurs by the partial score associated with that point-adding condition, and calculates the game usage score by summing up the multiplication results for each point-adding condition.
[0049] At least one of the point-adding conditions and the partial score may be set for each person's attribute. For example, the storage unit 12 stores a game usage score calculation table corresponding to each person's attribute. In this case, the specification unit 132 calculates the game usage score by referring to the game usage score calculation table corresponding to the user's attribute indicated by the attribute information acquired by the acquisition unit 131.
[0050] As a second step, the identification unit 132 identifies the degree of dependency of the user based on the calculated game usage score. For example, the dependency determination table associates a plurality of dependency determination ranges corresponding to the game usage score with the degree of dependency. In this case, the identification unit 132 refers to the dependency determination table and identifies the degree of dependency corresponding to the calculated game usage score as the degree of dependency of the user. For example, in the case where the storage unit 12 stores a dependency determination table corresponding to each attribute of a person, the identification unit 132 refers to the dependency determination table corresponding to the attribute of the user indicated by the attribute information acquired by the acquisition unit 131 to identify the degree of dependency of the user.
[0051] The information processing device 1 may further consider the behavioral status of the user's predetermined behavior to identify the user's dependency on the use of the mobile terminal 2. The user's predetermined behavior is a behavior that the user regularly performs in daily life, such as waking up, sleeping, eating, going to school, commuting, and going to cram school. The behavioral status of the predetermined behavior is, for example, the user's actual behavior time with respect to a schedule that is predetermined for the predetermined behavior, the user's health condition when the user performs the predetermined behavior, and the user's feelings when the user performs the predetermined behavior. The user's predetermined behavior may be a behavior of performing an improvement method presented to the user, and the behavioral status of the predetermined behavior may be the time when the improvement method presented to the user is performed, the frequency with which the improvement method is performed, the progress of the improvement method, and the like. Specifically, the information processing device 1 identifies the user's dependency on the use of the mobile terminal 2 by performing the following three steps.
[0052] As a first step, the acquisition unit 131 further acquires behavior information indicating the behavioral status of the user's predetermined behavior. For example, while executing the addiction improvement program, the mobile terminal 2 displays on its display unit a second questionnaire that accepts at least one of the execution time of the predetermined behavior, the execution time zone, the user's feelings at the time of execution, and the result of a health check as an answer to the behavioral status of the predetermined behavior. When the mobile terminal 2 accepts the answer to the second questionnaire, it transmits the answer information of the second questionnaire to the information processing device 1. The acquisition unit 131 acquires the answer information of the second questionnaire as schedule information indicating the schedule of the predetermined behavior and behavior information indicating the behavioral status of the user's predetermined behavior. The schedule of the predetermined behavior is a schedule set by the user, a person related to the user, an expert on addiction, or an administrator of the information processing device 1.
[0053] The acquiring unit 131 may acquire schedule information indicating a schedule of the predetermined behavior and behavior information indicating a behavioral status of the predetermined behavior of the user by displaying a second questionnaire on a terminal of a person related to the user and accepting a response to the second 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 storage management device as behavior information.
[0054] Also, a terminal (different from the mobile terminal 2) given to the user at a school, a cram school, or a workplace may be set so as to be able to communicate 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 behavioral information indicating commuting 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 behavioral information indicating commuting to school, a cram school, or work hours.
[0055] As a second step, the identification unit 132 calculates a behavioral influence score indicating the degree of influence that the use of the mobile terminal 2 has on the predetermined behavior, based on the behavioral status of the predetermined behavior indicated by the behavioral information acquired by the acquisition unit 131. For example, the behavioral influence score indicates that the higher the value, the higher the degree of influence that the use of the mobile terminal 2 has on the predetermined behavior. For example, the storage unit 12 stores a behavioral influence score calculation table that associates point-adding conditions for the behavioral influence score based on the game usage record and the behavioral status of the predetermined behavior with the points of the partial scores that constitute the behavioral influence score when the point-adding conditions are satisfied.
[0056] FIG. 5 is a diagram showing an example of a behavioral influence score calculation table. In the example shown in FIG. 5, it can be seen that the point-adding conditions based on the behavioral status of the predetermined behavior are associated with the points of the partial score given to the user when the point-adding conditions are satisfied. The identification unit 132 identifies the point-adding conditions satisfied by the behavioral status of the predetermined behavior of the user among the multiple point-adding conditions included in the behavioral influence score calculation table. For example, the identification unit 132 identifies the number of times the point-adding condition is satisfied by the behavioral status of the predetermined behavior of the user in a predetermined period (e.g., one week) for each of the multiple point-adding conditions included in the behavioral influence score calculation table. The identification unit 132 multiplies the number of times the identified point-adding condition is satisfied by the partial score associated with the point-adding condition for each point-adding condition, and calculates the behavioral influence score by summing up the multiplication results of each point-adding condition.
[0057] At least one of the point-adding conditions and the partial score may be set for each person's attribute. In this case, the storage unit 12 stores a behavioral influence score calculation table corresponding to each person's attribute, and the specification unit 132 calculates the behavioral influence score by referring to the behavioral influence score calculation table corresponding to the user's attribute indicated by the attribute information acquired by the acquisition unit 131.
[0058] As a third step, the identification unit 132 identifies the degree of dependency of the user on the use of the mobile terminal 2 based on the result of multiplying the calculated game usage score by the behavioral influence score. For example, in the dependency level determination table, a plurality of determination ranges corresponding to the multiplication result of the game usage score and the behavioral influence score are associated with the dependency level.
[0059] In this case, the identification unit 132, for example, refers to a dependency determination table and identifies the dependency corresponding to the multiplication result of the calculated game usage score and the behavioral influence score as the user's dependency on use of the mobile terminal 2. Note that the identification unit 132 identifies the user's dependency on use of the mobile terminal 2 based on the multiplication result of the calculated game usage score and the behavioral influence score, but this is not limited to this. The identification unit 132 may identify the user's dependency on use of the mobile terminal 2 based on the addition result of the calculated game usage score and the behavioral influence score.
[0060] In the above, an example has been described in which the identification unit 132 identifies which of a plurality of user states indicating a state of dependency on the use of the mobile terminal 2 the user corresponds to based on the usage record information, but this is not limited thereto. The identification unit 132 may further identify which of a plurality of user states indicating an improvement state from a state of dependency on the use of the mobile terminal 2 the user corresponds to based on at least one of the degree of understanding of the user's dependency on the use of the mobile terminal 2 indicated by the understanding behavior information acquired by the acquisition unit 131 and the user's behavior record for improving the dependency on the use of the mobile terminal 2. The user state in this case is, for example, a state indicated by a combination of the dependency degree and the willingness degree, but is not limited thereto and may be a state indicated by only the willingness degree. The identification unit 132 identifies the user's willingness degree for the dependency on the use of the mobile terminal 2, for example, by executing the following two steps.
[0061] As a first step, the specification unit 132 calculates a willingness score based on at least one of the degree of understanding of the user's dependence on the use of the portable terminal 2 indicated by the understanding behavior information acquired by the acquisition unit 131 and the user's behavioral track record for improving the dependence on the use of the portable terminal 2. For example, the willingness score indicates that the higher the value, the higher the degree of willingness of the user to improve the dependence on the use of the portable terminal 2. For example, the storage unit 12 stores a willingness score calculation table for calculating partial scores constituting the willingness score based on at least one of the degree of understanding indicating the degree of understanding of the user's dependence on the use of the portable terminal 2, and the implementation time, implementation frequency, and implementation state of the improvement method implemented by the user using the portable terminal 2.
[0062] The level of understanding indicates the degree of the user's understanding of the dependency on the use of the mobile terminal 2, which is identified by, for example, analyzing the answer information of the first questionnaire, which is the understanding behavior information. For example, a score corresponding to each option of the question is set, and the identification unit 132 calculates the level of understanding by tallying up the scores corresponding to the options selected by the user in each question. The score is not limited to an added score, and may also include a subtracted score. In addition, when the first questionnaire is set for each attribute of a person, the identification unit 132 may calculate the level of understanding using the score set according to the attribute of the person. For example, the identification unit 132 may set the score of a question specialized for the attribute of the user (for example, a question for confirming the state of the relationship between a parent and a child in the first questionnaire for a child) to be higher than the score of a question common to each attribute.
[0063] Fig. 6 is a diagram showing an example of a motivation score calculation table. In the example shown in Fig. 6, it can be seen that the degree of understanding indicating the degree of understanding of the user's dependency on the use of the mobile terminal 2, the point-adding conditions corresponding to the implementation time, implementation frequency, and implementation state of the improvement method implemented by the user using the mobile terminal 2, and the points of the partial score given to the user when the point-adding conditions are satisfied are associated with each other.
[0064] The specification unit 132 specifies the adding condition satisfied by the understanding level indicating the degree of understanding of the user's dependency on the use of the portable terminal 2, the implementation time, implementation frequency, and implementation state of the improvement method implemented by the user using the portable terminal 2, among the multiple adding conditions included in the motivation score calculation table. For example, the specification unit 132 specifies the number of times of the adding condition satisfied by the implementation time and implementation frequency of the improvement method implemented by the user in a predetermined period (e.g., one week) for each of the multiple adding conditions included in the motivation score calculation table. Then, the specification unit 132 multiplies the number of times of the adding condition satisfied by the implementation time and implementation frequency of the identified improvement method and the partial score associated with each adding condition, and calculates the motivation score by summing up the multiplication result of the adding condition for the implementation time and implementation frequency of the improvement method and the partial score associated with the adding condition satisfied by the understanding level and the implementation state.
[0065] At least one of the point-adding conditions and the points of the partial score may be set for each person's attribute. In this case, the storage unit 12 stores a motivation score calculation table corresponding to each person's attribute, and the specification unit 132 calculates the motivation score by referring to the motivation score calculation table corresponding to the user's attribute indicated by the attribute information acquired by the acquisition unit 131.
[0066] The specification unit 132 may calculate the motivation score based on the schedule of the user's predetermined behavior indicated by the schedule information acquired by the acquisition unit 131 and the implementation history of the improvement method indicated by the history information acquired by the acquisition unit 131. For example, a score when the improvement method is implemented according to the schedule and a score when the improvement method is not implemented according to the schedule are determined in advance. The score includes a positive number and a negative number. For example, the specification unit 132 refers to the schedule information and implementation history acquired by the acquisition unit 131, and when it specifies that the user implemented the improvement method according to the schedule, it adds a corresponding score (e.g., a negative number) to the motivation score calculated by referring to the motivation score calculation table, and when it specifies that the user did not implement the improvement method according to the schedule, it adds a corresponding score (e.g., a positive number) to the motivation score calculated by referring to the motivation score calculation table.
[0067] As a second step, the determination unit 132 determines the motivation level based on the calculated motivation score. For example, the motivation level determination table associates a plurality of motivation level determination ranges corresponding to the motivation level scores with the motivation level. In this case, the determination unit 132 refers to the motivation level determination table and determines the motivation level corresponding to the calculated motivation level score as the user's motivation level.
[0068] For example, in the case where a motivation level determination table corresponding to each attribute of a person is stored in the storage unit 12, the specification unit 132 specifies the motivation level of the user by referring to the motivation level determination table corresponding to the attribute of the user indicated by the attribute information acquired by the acquisition unit 131. When the specification unit 132 specifies the user state of the user, it stores the ID of the user and the specified user state in the storage unit 12 in association with each other.
[0069] [Select the improvement method] Next, a function of the control unit 13 for selecting an improvement method for improving a user's dependency on the use of the mobile terminal 2 will be described.
[0070] The selection unit 133 selects an improvement method corresponding to the user state identified by the identification unit 132 from among a plurality of improvement methods for improving the user's dependency on the use of the mobile terminal 2. Specifically, the selection unit 133 selects an improvement method from among the plurality of improvement methods corresponding to the motivation level indicated by the user state identified by the identification unit 132 and the dependency level indicated by the user state identified by the identification unit 132. For example, the storage unit 12 stores a method selection table that associates the motivation level indicated by the identified user state, the dependency level indicated by the identified user state, and the improvement method.
[0071] FIG. 7 is a diagram showing an example of a method selection table. As shown in FIG. 7, it can be seen that one or more improvement methods corresponding to each of a plurality of dependency levels are associated with each of a plurality of motivation levels. Also, in FIG. 7, the improvement methods include a method of notifying various information, family therapy, presentation of alternative behavior, and presentation of coping, but are not limited thereto. 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 2 away from the field of view, and a method of presenting questions to increase the user's motivation to improve.
[0072] The selection unit 133 refers to the method selection table and identifies an improvement method associated with the motivation level indicated by the user state identified by the identification unit 132 and the dependency level indicated by the user state identified by the identification unit 132.
[0073] When the dependency improvement program is executed for the first time on the mobile terminal 2, the selection unit 133 may identify an improvement method using a result of an expert on dependency identifying the user's motivation through questioning. In this case, the acquisition unit 131 first acquires motivation information indicating the user's motivation determined by the expert from the terminal of the dependency expert, the terminal of a related person of the user, or the user's mobile terminal 2. Then, the selection unit 133 selects, from among the multiple improvement methods, an improvement method corresponding to the motivation indicated by the motivation information acquired by the acquisition unit 131 and the dependency indicated by the user's state identified by the identification unit 132.
[0074] The selection unit 133 may select an improvement method further based on other information. The selection unit 133 may select an improvement method further based on a user attribute.
[0075] The selection unit 133 selects an improvement method further based on, for example, the attribute information acquired by the acquisition unit 131. In this case, the storage unit 12 stores the method selection table shown in FIG. 7 in association with the user's attributes. Then, the selection unit 133 identifies an improvement method associated with the motivation level indicated by the user state identified by the identification unit 132, the user's attributes indicated by the attribute information stored in the storage unit 12, and the dependency level indicated by the user state identified by the identification unit 132. In this manner, the information processing device 1 can select an improvement method that is likely to be suitable for the user.
[0076] The selection unit 133 may select an improvement method further based on the degree of hindrance to the user's life caused by the user's use of the mobile terminal 2. In order to enable the selection unit 133 to use the degree of hindrance, for example, the mobile terminal 2 periodically displays a third questionnaire on the display unit regarding the degree of hindrance to the user's life caused by the user's use of the mobile terminal 2, and receives the degree of hindrance from the user. The mobile terminal 2 transmits the received hindrance degree information indicating the degree of hindrance and the user ID to the information processing device 1. The acquisition unit 131 acquires the user ID and the hindrance degree information acquired from the mobile terminal 2, and stores the acquired user ID and the hindrance degree information in the storage unit 12 in association with each other. The acquisition unit 131 may acquire, from a related person of the user, the hindrance degree information indicating the degree of hindrance to the user's life caused by the user's use of the mobile terminal 2, input by the related person, and the user ID of the user.
[0077] The acquisition unit 131 may acquire the inconvenience degree information by identifying the inconvenience degree based on the relationship between the usage record indicated by the usage record information of the user and the behavioral state indicated by the behavioral information. The behavioral information is information indicating the behavioral state of a predetermined behavior of the user. The predetermined behavior is, for example, behavior that the user regularly performs in daily life, such as waking up, sleeping, eating, going to school, commuting, and going to cram school. For example, when the behavior time of the predetermined behavior does not correspond to a schedule previously set for the predetermined behavior, the acquisition unit 131 identifies the inconvenience degree based on the usage record of the mobile terminal 2 within a predetermined time from the schedule. Then, the acquisition unit 131 associates the acquired user ID with the inconvenience degree information and stores them in the storage unit 12.
[0078] The selection unit 133 selects an improvement method further based on the hindrance degree information acquired by the acquisition unit 131. In this case, in the method selection table shown in Fig. 7, an improvement method is associated with each motivation level, each dependency level, and each hindrance level. Then, the selection unit 133 identifies an improvement method associated with the motivation level indicated by the user state identified by the identification unit 132, the hindrance level to the user's life, and the dependency level indicated by the user state identified by the identification unit 132. In this manner, the information processing device 1 can select an improvement method suitable for the degree of hindrance to the user's life.
[0079] The selection unit 133 may select the improvement method further based on the user's biological information. The user's biological information is, for example, the user's heart rate and body temperature measured by a measuring device such as a smart watch worn by the user. The acquisition unit 131 acquires the biological information by, for example, acquiring 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.
[0080] The selection unit 133 selects an improvement method further based on the biometric information of the user acquired by the acquisition unit 131. For example, the selection unit 133 identifies the heart rate or body temperature when the user is playing a game on the mobile terminal 2 based on the biometric information of the user and the usage history indicated by the usage history information of the user acquired by the acquisition unit 131. When the identified heart rate or body temperature exceeds a predetermined reference value, the selection unit 133 selects, as an improvement method, a method of notifying the user of information encouraging the user to relax or information encouraging the user to play the game calmly, in addition to the improvement method identified based on the degree of dependency. In this way, when the user is likely to become absorbed in the game, the information processing device 1 can suppress the user from becoming absorbed in the game, thereby enhancing the improvement effect.
[0081] The selection unit 133 may select an improvement method based on an improvement result for a dependency state of another user different from the user. For example, the storage unit 12 stores improvement result information indicating an improvement result for the dependency state of the user corresponding to each of a plurality of users to whom an arbitrary improvement method has been presented. The improvement result information is, for example, information that associates the dependency level of the user, the motivation level of the user, and the degree of improvement after the improvement method has been presented to the user. The acquisition unit 131 acquires improvement result information of other users having the same motivation level and dependency level as the user of the mobile terminal 2 from the improvement result information stored in the storage unit 12. Here, the acquisition unit 131 may refer to the storage unit 12 and acquire improvement result information of other users having attributes that match or are similar to the attributes of the user of the mobile terminal 2.
[0082] Then, the selection unit 133 selects an improvement method based on the acquired improvement result information. For example, the selection unit 133 selects an improvement method with a relatively large degree of improvement from among the improvement methods presented to other users based on the acquired improvement result information. In this way, the information processing device 1 can select an improvement method that is expected to have a large improvement effect on the user.
[0083] The selection unit 133 selects one of the multiple improvement methods when a plurality of improvement methods are associated in the method selection table with the motivation level indicated by the user state identified by the identification unit 132 and the dependency level indicated by the user state identified by the identification unit 132. The selection unit 133, for example, randomly selects one improvement method from among the multiple improvement methods.
[0084] The selection unit 133 may select an improvement method with a high priority from among a plurality of improvement methods. The priority is, for example, an index determined according to the degree of likelihood of improving the dependency state on the use of the mobile terminal 2. The priority may be indicated in three stages such as "high", "medium", and "low", or may be indicated by a numerical value between 0 and 100.
[0085] For example, in the method selection table, each of the multiple improvement methods is further associated with a priority for selecting the improvement method by the selection unit 133. In this case, the selection unit 133 refers to the method selection table and selects an improvement method with a relatively high priority (for example, the highest priority) from among the multiple improvement methods associated with the motivation level indicated by the user state identified by the identification unit 132 and the dependency level indicated by the user state identified by the identification unit 132.
[0086] [Information output] Next, the function of the control unit 13 to output information will be described.
[0087] The output unit 134 outputs user state information indicating the user state identified by the identification unit 132. The output unit 134 outputs, for example, a degree of dependency indicated by the user state identified by the identification unit 132 as the user state information. Furthermore, the output unit 134 outputs, for example, a degree of motivation indicated by the user state identified by the identification unit 132 as the user state information. The output unit 134 outputs, for example, the user state information to the mobile terminal 2 of the user.
[0088] For example, when the dependency improvement program is being executed, the portable terminal 2 transmits a request to acquire user state information to the information processing device 1. In response to receiving the acquisition request from the portable terminal 2, the output unit 134 transmits a determination result screen indicating the user state identified by the identification unit 132 to the portable terminal 2, and causes the determination result screen to be displayed on the portable terminal 2. The output unit 134 may further output improvement method information indicating the improvement method selected by the selection unit 133.
[0089] FIG. 8 is a diagram showing an example of a judgment result screen. The judgment result screen shown in FIG. 8 is a judgment result screen of a user whose motivation level is in the indifferent stage, and it can be confirmed that the user's dependency level is "medium" and that information corresponding to "notification of the negative effects of dependency" and "notification to keep the mobile terminal out of sight", which are improvement methods when the motivation level is in the indifferent stage, is displayed. In this way, the user can confirm the improvement method suitable for his / her motivation level while confirming his / her own dependency level. Note that the output unit 134 may include information indicating the user's motivation level and explanatory information of the motivation level in the judgment result screen.
[0090] The output unit 134 may output the user state information to a terminal of a related person of the user. In this case, the output unit 134 may output, as the user state information, information indicating a change state from a past user state identified by the identification unit 132 to a current user state identified by the identification unit 132 to a terminal of a related person of the user. The past user state is, for example, a user state identified initially, a user state identified immediately before the current identified user state, etc. The past user state is, for example, a user state identified at a time set by the user, a related person of the user, an expert on dependency, or an administrator of the information processing device 1. The change state is a state of change in at least one of the user's dependency level and motivation level.
[0091] Specifically, when the change state from the past user state identified by the identification unit 132 to the current user state identified by the identification unit 132 is a worsening state, the output unit 134 outputs worsening state information indicating the worsening state to the terminal of a related person of the user. The worsening state indicates that the current user state is worse than the past user state. In this way, the information processing device 1 can provide motivation for a related person of the user to take action to improve the user state of the user.
[0092] Furthermore, when the change state from the past user state identified by the identification unit 132 to the current user state identified by the identification unit 132 is an improved state, the output unit 134 outputs improved state information indicating the improved state to the terminal. The improved state indicates that the current user state is an improved state compared to the past user state. In this way, the information processing device 1 can provide motivation for those related to the user to recognize and praise the efforts of the user who is taking action to improve the user state.
[0093] Furthermore, when the change state from the past user state identified by the identification unit 132 to the current user state identified by the identification unit 132 is an improved and maintained state, the output unit 134 outputs maintained state information indicating the improved and maintained state to the terminal. The improved and maintained state indicates that the current user state and the past user state are the same state. In this manner, the information processing device 1 can provide motivation for those related to the user to recognize and praise the efforts of the user who is taking actions to prevent the user state from worsening.
[0094] In addition, when the change state from the past user state identified by the identification unit 132 to the current user state identified by the identification unit 132 is an improved state or an improved and maintained state, the output unit 134 may not output information indicating the changed state to the terminal of the user's related person, and when the changed state is a worsened state, may output worsened state information to the terminal of the user's related person. In addition, the output unit 134 may output information indicating the changed state to the mobile terminal 2 of the user.
[0095] The output unit 134 may output information based on the relationship between the user's motivation level identified by the identification unit 132 and the user's motivation level for addiction judged by an expert. For example, first, the acquisition unit 131 acquires expert judgment information indicating the user's motivation level for addiction judged by an expert. The user's motivation level indicated by the expert judgment information is, for example, the user's motivation level for addiction judged by an expert a predetermined period of time ago, and is indicated by, for example, one of five stages: indifference stage, interest stage, preparation stage, action stage, and maintenance stage.
[0096] Then, the output unit 134 outputs information based on the relationship between the user's motivation level identified by the identification unit 132 and the user's motivation level indicated by the expert judgment information acquired by the acquisition unit 131. For example, the output unit 134 outputs user state information when the user's motivation level identified by the identification unit 132 and the user's motivation level indicated by the expert judgment information acquired by the acquisition unit 131 are the same. On the other hand, when the user's motivation level identified by the identification unit 132 and the user's motivation level indicated by the expert judgment information acquired by the acquisition unit 131 are different, the output unit 134 further outputs information recommending that the user see a specialist for the addiction.
[0097] [Reselection of improvement method] After the determination result screen showing the improvement method is displayed on the mobile terminal 2, it is preferable to continuously identify whether the user's dependency on the 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 an improvement method based on the improvement status of the user's dependency on the use of the mobile terminal 2. The function related to the reselection of the improvement method by the control unit 13 will be described below.
[0098] The acquisition unit 131 further acquires behavior history information indicating the behavior history of the user after the output unit 134 outputs the judgment result screen including information indicating the improvement method selected by the selection unit 133. The behavior history information is, for example, location information indicating the location of the mobile terminal 2, the communication data amount of the mobile terminal 2, and post-presentation usage record information indicating the usage record of the mobile terminal 2 of the user after the output unit 134 outputs the judgment result screen including information indicating the improvement method selected by the selection unit 133. The acquisition unit 131 acquires, for example, the behavior history information from the mobile terminal 2 of the user. Note that the acquisition unit 131 acquires the behavior history information from the mobile terminal 2, but is not limited thereto. For example, information indicating the communication data amount corresponding to the mobile terminal 2 may be acquired as the behavior history information from a communication control device or the like that controls communication and manages the communication data amount of the mobile terminal 2 in association with the user ID of the user of the mobile terminal 2.
[0099] The identification unit 132 identifies whether or not the user is following the improvement method selected by the selection unit 133 and notified to the user, based on the behavior history information acquired by the acquisition unit 131. For example, behavior history patterns corresponding to each of a plurality of improvement methods are stored in advance in the storage unit 12. The identification unit 132 identifies a behavior pattern corresponding to the improvement method selected by the selection unit 133, and identifies whether or not the behavior history information acquired by the acquisition unit 131 indicates the identified behavior pattern.
[0100] For example, when the improvement method is counseling, the behavioral pattern is visiting a hospital. When the improvement method selected by the selection unit 133 is counseling, the identification unit 132 determines whether the location information of the mobile terminal 2 as the behavioral history information indicates the behavioral pattern of visiting a hospital, thereby identifying whether the user is following the improvement method selected by the selection unit 133.
[0101] Note that the identification unit 132 identifies whether or not the user is following the improvement method selected by the selection unit 133 and notified to the user, but is not limited to this. The control unit 13 may have a determination unit that determines whether or not the user is following the improvement method selected by the selection unit 133 and notified to the user.
[0102] When the identification unit 132 identifies that the user is not following the selected improvement method, the selection unit 133 selects instruction information instructing the user to execute the improvement method. Then, the output unit 134 outputs the instruction information to the mobile terminal 2. In this manner, the information processing device 1 can increase the probability that the user will act in accordance with the improvement method.
[0103] When the identification unit 132 identifies that the user is not following the selected improvement method, the selection unit 133 may select another improvement method different from the improvement method notified to the user. In this case, the selection unit 133 selects another improvement method different from the improvement method already notified to the user, from among the improvement methods associated with the motivation level indicated by the user state identified by the identification unit 132 and the dependency level indicated by the user state identified by the identification unit 132. Then, the output unit 134 outputs information indicating the other improvement method. In this way, the information processing device 1 can present to the user another improvement method that the user may possibly follow.
[0104] Furthermore, when the identification unit 132 identifies that the user is not following the selected improvement method, the information processing device 1 may allow the user to set the schedule for the predetermined behavior again. For example, when the identification unit 132 identifies that the user is not following the selected improvement method, the output unit 134 causes the mobile terminal 2 to display a setting screen for allowing the user to set the schedule for the predetermined behavior again. Then, when the mobile terminal 2 accepts the setting of the schedule for the predetermined behavior by the user on the setting screen, it stores the set schedule for the predetermined behavior. Note that the mobile terminal 2 may transmit information indicating the schedule for the predetermined behavior set by the user to the information processing device 1 and cause the information processing device 1 to manage the schedule for the predetermined behavior.
[0105] In addition, when the identification unit 132 identifies that the user is not following the selected improvement method, the output unit 134 may output instruction information to a terminal of a person related to the user, instructing the user to execute the improvement method.
[0106] The selection unit 133 may select another improvement method different from the improvement method already notified to the user according to the change state from the past user state identified by the identification unit 132 to the current user state identified by the identification unit 132. Specifically, when there is no change between the past user state identified by the identification unit 132 and the current user state identified by the identification unit 132, that is, when the change state from the past user state identified by the identification unit 132 to the current user state identified by the identification unit 132 is an improvement maintenance state, the selection unit 133 selects another improvement method different from the improvement method selected based on the past user state identified by the identification unit 132, among the improvement methods corresponding to the user state. Then, the output unit 134 outputs information indicating the other improvement method. In this way, the information processing device 1 can present to the user another improvement method that may improve the user state.
[0107] The selection unit 133 may update the priority stored in the method selection table in association with the improvement method according to the change state from the past user state identified by the identification unit 132 to the current user state identified by the identification unit 132. Specifically, the identification unit 132 first identifies whether or not the change state from the identified past user state to the identified current user state is an improved state. Then, when the identification unit 132 identifies that the change state from the past user state to the current user state is not an improved state, the selection unit 133 lowers the priority stored in the method selection table in association with the improvement method selected based on the previous user state identified by the identification unit 132.
[0108] The selection unit 133 lowers the priority by one level, for example, by lowering the priority stored in the method selection table in association with the improvement method selected based on the previous user state identified by the identification unit 132 from "high" to "medium." In this way, the information processing device 1 can reduce the presentation of improvement methods that are unlikely to improve the dependency state on the use of the mobile terminal 2.
[0109] [Effects of this embodiment] As described above, the information processing device 1 identifies which of a plurality of user states indicating at least one of a state of dependency on use of the mobile terminal 2 and an improved state from the state of dependency on use of the mobile terminal 2, the user corresponds to, based on the usage record indicated by the usage record information and at least one of the degree of understanding of the user's dependency on use of the mobile terminal 2 indicated by the understanding behavior information and the user's behavior record for improving the dependency on use of the mobile terminal 2, and outputs user state information indicating the identified user state. In this way, the information processing device 1 can identify the user's state regarding dependency. In particular, in recent years, gaming addiction has been recognized as gaming behavior disorder, and the information processing device 1 can identify the user state including the degree of dependency on game use based on the usage record information and the understanding behavior information, and present the user with an improvement method corresponding to the user state, thereby improving the state of gaming behavior disorder.
[0110] 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."
[0111] 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 game usage using the mobile terminal 2 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.
[0112] 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.
[0113] 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.
[0114] 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.
[0115] 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]
[0116] 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 of a mobile device and understanding behavior information indicating at least one of a degree of understanding of the user's dependence on the use of the mobile device and a behavioral record of the user for improving the dependence on the use of the mobile device; an identification unit that identifies which of a plurality of user states indicating at least one of a dependency state with respect to use of a mobile device and an improvement state from the dependency state to which the user corresponds, based on the usage record indicated by the usage record information acquired by the acquisition unit and at least one of the degree of understanding and the behavior record indicated by the understanding behavior information acquired by the acquisition unit; an output unit that outputs user status information indicating the user status identified by the identification unit; An information processing device having the above configuration.
2. The acquisition unit further acquires behavior information indicating a behavioral status of a predetermined behavior of the user, The identification unit further identifies which of the plurality of user states the user belongs to based on the behavioral status indicated by the behavior information. The information processing device according to claim 1 .
3. a selection unit that selects, from among a plurality of improvement methods for improving the dependency state, the improvement method corresponding to the user state identified by the identification unit; 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 1 .
4. The acquisition unit further acquires behavior history information indicating a behavior history of the user after the output unit outputs information indicating the improvement method selected by the selection unit, The identification unit identifies whether the user is following the improvement method selected by the selection unit based on the behavior history information, the selection unit, when the identification unit identifies that the improvement method is not being followed, selects instruction information instructing the user to execute the improvement method or another improvement method different from the improvement method; The output unit outputs the instruction information or information indicating the other improvement method. The information processing device according to claim 3 .
5. when there is no change between the past user state identified by the identification unit and the current user state identified by the identification unit, the selection unit selects, from the improvement methods corresponding to the user state, another improvement method different from the improvement method selected based on the past user state identified by the identification unit; The output unit outputs information indicating the other improvement method. The information processing device according to claim 3 .
6. a priority level for the selection unit to select the improvement method is associated with each of the plurality of improvement methods; The identification unit identifies whether a change state from the identified past user state to the identified current user state is an improvement state; When the identification unit identifies that the changed state is not an improved state, the selection unit lowers the priority associated with the improvement method selected based on the previous user state identified by the identification unit. The information processing device according to claim 3 .
7. the output unit, when a change state from the past user state identified by the identification unit to the current user state identified by the identification unit is a worsening state, outputs worsening state information indicating the worsening state to a terminal of a related person having a predetermined relationship with the user, when the change state is an improvement state, outputs improved state information indicating the improved state to the terminal, and when the change state is a maintained improved state, outputs maintained state information indicating the maintained improved state to the terminal. The information processing device according to claim 3 .
8. The usage history of the mobile terminal of the user is a usage history of a game using the mobile terminal of the user, the degree of understanding of the user's addiction to use of a mobile device is the degree of understanding of the user's addiction to playing games using a mobile device; The user's behavioral performance for improving the addiction to the use of a mobile terminal is the user's behavioral performance for improving the addiction to the use of a game using a mobile terminal. The information processing device according to claim 1 .
9. The computer executes A step of acquiring usage record information indicating a usage record of a user of a mobile device, and understanding behavior information indicating at least one of a degree of understanding of the user's dependence on the use of the mobile device and a behavioral record of the user for improving the dependence on the use of the mobile device; Identifying which of a plurality of user states indicating at least one of a dependency state on the use of a mobile device and an improvement state from the dependency state to which the user corresponds based on the usage history indicated by the acquired usage history information and at least one of the degree of understanding and the behavioral history indicated by the acquired understanding behavior information; outputting user status information indicating the identified user status; An information processing method comprising the steps of:
10. Computer, an acquisition unit that acquires usage record information indicating a usage record of a user of a mobile device and understanding behavior information indicating at least one of a degree of understanding of the user's dependence on the use of the mobile device and a behavioral record of the user for improving the dependence on the use of the mobile device; an identification unit that identifies which of a plurality of user states indicating at least one of a dependency state with respect to use of a mobile terminal and an improvement state from the dependency state to which the user corresponds, based on the usage record indicated by the usage record information acquired by the acquisition unit and at least one of the degree of understanding and the behavior record indicated by the understanding behavior information acquired by the acquisition unit; and an output unit that outputs user status information indicating the user status identified by the identification unit; A program to function as a
Citation Information
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