Psychological estimation system, psychological estimation method and program

Abstract

To mainly acquire psychological progress associated with behavioral change of an object person in an easy and accurate way.SOLUTION: There is provided a psychological estimation system that comprises an estimation part which estimates, as psychological data on an object person, one or more of motive data associated with object behavior the object person has, behavioral change stage data, and self-effect feeling data based upon behavior data on the object person along a time series.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The present invention relates to a mind estimation system, a mind estimation method, and a program. [Background technology]

[0002] In recent years, the psychological stages of a subject's behavioral change until their health or environmentally conscious behavior becomes a habit are sometimes expressed as stages of behavioral change.

[0003] In the Transtheoretical Model (TTM), a theory of behavior change that is widely used in the health field, the state of awareness and behavior regarding a target behavior is expressed in five stages (precontemplation, contemplation, preparation, action, and maintenance). In TTM, each of these five stages is called a stage of behavior change.

[0004] Specifically, the precontemplation stage represents the stage where the subject has no intention of changing the behavior, the contemplation stage represents the stage where the subject is interested in the behavior and is considering changing the behavior within 6 months, the preparation stage represents the stage where the subject is considering changing the behavior within 1 month, the action stage represents the stage where the subject has changed the behavior for less than 6 months, and the maintenance stage represents the stage where the subject has changed the behavior for more than 6 months.

[0005] In TTM, it is said that utilizing a change process (intervention method) that is appropriate for the target's stage of behavioral change can contribute to the transition of the stage of behavioral change. Although the stages of behavioral change are expressed in five stages, if the five stages of behavioral change are further divided according to the target's psychological stage, the target's state of behavioral change can be divided into more stages, which may improve the accuracy of intervention according to the stage of behavioral change.

[0006] For example, Patent Document 1 discloses that, based on the results of collecting the psychological state of the subject through a questionnaire about once every few days and the results of the questionnaire or the sensing results about once a day, the subject's phase (planning phase, action intention phase, and action phase) is determined in addition to the subject's behavioral change stage. The phases are applied only to the preparation and execution stages. As a result, the state of behavioral change is grasped in nine stages, which is expected to have the effect of improving the accuracy of intervention according to the stage of the state of behavioral change. [Prior art documents] [Patent documents]

[0007] [Patent Document 1] Patent Publication No. 2021-86280 Summary of the Invention [Problem to be solved by the invention]

[0008] However, the technology disclosed in Patent Document 1 requires the subject's psychological state to be collected by a questionnaire once every few days, which places a heavy burden on the subject. Therefore, the technology disclosed in Patent Document 1 cannot easily and accurately grasp the change in the subject's psychological state.

[0009] In addition, in the technology disclosed in Patent Document 1, although the behavior change state is expressed by stages and phases, only the preparation stage and the execution stage are defined as phases. Therefore, in the technology disclosed in Patent Document 1, it is not possible to grasp in detail the change in the psychological state of a subject whose behavior change state is in the pre-contemplation stage, the contemplation stage (the pre-contemplation stage and the contemplation stage are also called the "early behavior change stage"), or the maintenance stage.

[0010] Therefore, a main object of the present invention is to solve the above problems and to obtain the psychological progress of a subject's behavioral change more easily and accurately. [Means for solving the problem]

[0011] In order to solve the above problem, according to one aspect of the present invention, a psychological estimation system is provided, which includes an estimation unit that estimates, as psychological data of a subject, one or more of motivation data, behavioral change stage data, and self-efficacy data related to a target behavior by the subject, based on behavioral data of the subject over a time series.

[0012] The psychological estimation system may include an intervention unit that intervenes in the target behavior of the subject, and the intervention unit may determine message data based on the psychological data and perform the intervention by outputting the message data to a terminal of the subject.

[0013] The intervention unit may estimate a behavior level indicating an intensity of the target behavior appropriate for the subject based on the self-efficacy data, and determine message data corresponding to the behavior level.

[0014] The intervention unit may estimate the behavior level based on a past behavior level and a target behavior level input by the subject, past self-efficacy data, and the self-efficacy data estimated by the estimation unit.

[0015] The estimation unit may make a correction to decrease the self-efficacy data when behavior performance frequency data, which is the number of days the subject performed the target behavior in a first period, is smaller than a predetermined first value and / or when the subject's message receptivity data for message data output to the subject's terminal in the first period is smaller than a predetermined second value, and the intervention unit may estimate the behavior level based on the self-efficacy data after the correction.

[0016] The behavioral data may include service operation data which is operation data of the subject related to a service function for the subject, and the estimation unit may estimate the motivation data based on the service operation data.

[0017] The estimation unit may include a behavioral analysis unit that calculates service operation frequency data indicating a frequency of access to the service function by the subject during a first period based on the service operation data, and a psychology estimation unit that estimates motivation data for the first period based on the service operation frequency data.

[0018] The mental state estimation unit may estimate that the motivation data for the first period is larger as the service operation frequency data is larger.

[0019] The estimated behavioral data may include behavior performance data including data indicating when the target behavior was performed by the subject, and the estimation unit may estimate the behavior change stage data based on the behavior performance data.

[0020] The estimation unit may include a behavior analysis unit that calculates behavior performance frequency data, which is the number of days the subject performs the target behavior in a first period, based on the behavior performance data, and a psychology estimation unit that estimates behavior change stage data for the first period based on the behavior performance frequency data.

[0021] The estimation unit may estimate the motivation data, and the psychology estimation unit may determine whether a number of days of implementation in the first period is smaller than a first number of days of implementation based on the behavior performance frequency data, and if it is determined that the number of days of implementation in the first period is smaller than the first number of days of implementation, determine whether the motivation data is smaller than a first threshold, and if it is determined that the motivation data is smaller than the first threshold, set a value indicating a pre-contemplation stage as the behavior change stage data, and if it is determined that the motivation data is equal to or greater than the first threshold, set a value indicating a contemplation stage as the behavior change stage data.

[0022] The psychology estimation unit may determine, based on the behavioral performance frequency data, whether the number of days of implementation in the first period is equal to or greater than a first number of days of implementation and is smaller than a second number of days of implementation, and if it determines that the number of days of implementation in the first period is equal to or greater than the first number of days of implementation and is smaller than the second number of days of implementation, may set a value indicating a preparation period as the behavioral change stage data.

[0023] The psychology estimation unit may determine whether a number of days of implementation in the first period is equal to or greater than a second number of days of implementation based on the behavior performance frequency data, and if it determines that the number of days of implementation in the first period is equal to or greater than the second number of days of implementation, determine whether a duration of the target behavior by the subject after the execution phase is shorter than a second threshold, and if it determines that the duration after the execution phase is shorter than the second threshold, set a value indicating the execution phase to the behavior change stage data, and if it determines that the duration after the execution phase is equal to or greater than the second threshold, set a value indicating the maintenance phase to the behavior change stage data.

[0024] The behavioral data may include behavioral performance data including data indicating when the target behavior was performed by the subject, and the estimation unit may estimate the self-efficacy data based on the behavioral performance data.

[0025] The estimation unit may include a behavior analysis unit that calculates behavior performance frequency data, which is the number of days the subject performs the target behavior in a first period, based on the behavior performance data, and a psychology estimation unit that estimates self-efficacy data for the first period based on the behavior performance frequency data.

[0026] The estimation unit may estimate the motivation data, and the psychology estimation unit may determine whether the number of days of implementation in the first period is smaller than the first number of days of implementation based on the behavior performance frequency data, and if it determines that the number of days of implementation in the first period is smaller than the first number of days of implementation, estimate self-efficacy data for the first period based on a trend of increase / decrease in motivation data from a second period, which is a period prior to the first period, to the first period and self-efficacy data for the second period.

[0027] The estimation unit may estimate the motivation data, and the psychology estimation unit may determine, based on the behavior performance frequency data, whether the number of days of implementation in the first period is equal to or greater than the first number of days of implementation and is smaller than the second number of days of implementation, and if it determines that the number of days of implementation in the first period is equal to or greater than the first number of days of implementation and is smaller than the second number of days of implementation, estimate self-efficacy data for the first period based on an increase / decrease trend of at least one of the motivation data and the behavior performance frequency data from a second period, which is a period prior to the first period, to the first period, and on self-efficacy data for the second period.

[0028] The psychology estimation unit may determine whether the number of days of implementation in the first period is equal to or greater than the second number of days of implementation based on the behavior performance frequency data, and if it determines that the number of days of implementation in the first period is equal to or greater than the second number of days of implementation, estimate self-efficacy data for the first period based on a trend of increase / decrease in the behavior performance frequency data from a second period, which is a period prior to the first period, to the first period and self-efficacy data for the second period.

[0029] In addition, according to another aspect of the present invention to solve the above problem, there is provided a psychological estimation method, which includes a processor estimating, as psychological data of a subject, one or more of motivation data, behavioral change stage data, and self-efficacy data related to a target behavior by the subject based on behavioral data of the subject over a time series.

[0030] In addition, in order to solve the above-mentioned problem, according to another aspect of the present invention, a program is provided that causes a computer to function as an estimation unit that estimates one or more of motivation data, behavioral change stage data, and self-efficacy data related to a target behavior by a subject as psychological data of the subject, based on behavioral data of the subject over time. Effect of the Invention

[0031] As described above, the present invention provides a technique that makes it possible to more easily and accurately obtain the psychological progress of a subject's behavioral change. [Brief description of the drawings]

[0032] [Figure 1] FIG. 1 is a diagram illustrating an example of a configuration of a mind estimation system according to an embodiment of the present invention. [Diagram 2] FIG. 2 is a diagram for explaining the operation of the mind estimation system 1 according to the embodiment of the present invention. [Diagram 3] FIG. 11 is a diagram illustrating an example of terminal response data. [Figure 4] FIG. 11 is a diagram showing an example of behavioral analysis data. [Diagram 5] FIG. 11 is a diagram showing an example of psychological data. [Figure 6] FIG. 13 is a diagram showing an example of an activity level and an example of an activity content image. [Figure 7] 13 is an example of message data held by the intervention unit 130. [Figure 8] 1 is a diagram illustrating a hardware configuration of an information processing device as an example of the hardware configuration of a server 10 according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0033] Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. In this specification and the drawings, components having substantially the same functional configurations are designated by the same reference numerals, and duplicated explanations will be omitted.

[0034] <0. Overview> First, an overview of the embodiment of the present invention will be described.

[0035] In the embodiment of the present invention, a technique for more simply and accurately acquiring the psychological progress of a subject's behavioral change is mainly proposed. The psychological progress of a subject's behavioral change is obtained as psychological data indicating the subject's psychological state. Examples of the psychological data include data indicating a stage of behavioral change, data indicating self-efficacy, and data indicating motivation. The stage of behavioral change, self-efficacy, and motivation will be described in detail later.

[0036] In the following description, the data indicating the stage of behavioral change will also be referred to as "stage of behavioral change data." Furthermore, the data indicating self-efficacy will also be referred to as "self-efficacy data." Furthermore, the data indicating motivation will also be referred to as "motivation data."

[0037] Specifically, the psychology estimation system according to the embodiment of the present invention estimates one or more of behavior change stage data, self-efficacy data, and motivation data as psychological data indicating the psychological state of the subject based on the subject's behavior data along a time series. By estimating the subject's psychological data in this way, the subject's psychological progress regarding behavior change can be obtained more easily and accurately.

[0038] The outline of the embodiment of the present invention has been described above.

[0039] <1. Details of the embodiment> Next, the details of the embodiment of the present invention will be described.

[0040] [1-1. Description of the configuration] A configuration example of a psychology estimation system according to an embodiment of the present invention will be described. A user of the psychology estimation system according to an embodiment of the present invention (hereinafter, also simply referred to as "user") is a subject who should make a target behavior a habit. The user performs the target behavior depending on the situation. In an embodiment of the present invention, it is mainly assumed that the target behavior is using stairs (hereinafter, also referred to as "stair walking"). However, as will be described later, the target behavior is not limited to stair walking.

[0041] Fig. 1 is a diagram showing an example of the configuration of a mind estimation system according to an embodiment of the present invention. As shown in Fig. 1, the mind estimation system 1 according to the embodiment of the present invention includes a server 10 and a user terminal 20. The server 10 and the user terminal 20 are connected to a network, and the server 10 and the user terminal 20 are configured to be able to communicate with each other via the network.

[0042] (Server 10) The server 10 may be realized by a computer. The server 10 includes a control unit (not shown) and a storage unit (not shown). The control unit (not shown) includes an estimation unit 100 and an intervention unit 130. The estimation unit 100 includes a behavior analysis unit 110 and a mental state estimation unit 120.

[0043] The control unit (not shown) is realized by a processor executing a program. The program may be recorded on a recording medium and read from the recording medium and executed by the processor. Alternatively, these blocks may be configured by dedicated hardware.

[0044] The storage unit (not shown) may be configured with a memory, such as a random access memory (RAM), a hard disk drive, or a flash memory.

[0045] (Estimation part 100) The estimation unit 100 acquires terminal response data output from the user terminal 20. The terminal response data may also be behavioral data. The estimation unit 100 estimates psychological data based on the terminal response data. For example, the estimation unit 100 estimates one or more of motivation data, behavioral change stage data, and self-efficacy data as psychological data.

[0046] More specifically, the estimation unit 100 estimates motivation data based on the service operation data. The estimation unit 100 also estimates behavior change stage data based on the behavior performance data. The estimation unit 100 estimates self-efficacy data based on the behavior performance data. The service operation data and the behavior performance data will be described in detail later. The estimation unit 100 then outputs the psychological data to the intervention unit 130.

[0047] (Behavior Analysis Department 110) The behavior analysis unit 110 acquires the terminal response data output from the user terminal 20. Then, the behavior analysis unit 110 obtains behavior analysis data based on the terminal response data. The behavior analysis unit 110 outputs the behavior analysis data to the mind estimation unit 120.

[0048] (Psychological Estimation Department 120) The psychology estimation unit 120 acquires the behavioral analysis data output from the behavior analysis unit 110. In addition, the psychology estimation unit 120 estimates psychological data based on the behavioral analysis data output from the behavior analysis unit 110. Then, the psychology estimation unit 120 outputs the psychological data to the intervention unit 130.

[0049] (Intervention Department 130) The intervention unit 130 acquires the psychological data output from the mental state estimation unit 120. Furthermore, the intervention unit 130 determines message data based on the psychological data output from the mental state estimation unit 120. Then, the intervention unit 130 outputs the message data to the user terminal 20.

[0050] (User terminal 20) The user terminal 20 may be realized by a computer. As an example, the user terminal 20 may be a mobile terminal. When the user terminal 20 receives the message data output from the intervention unit 130, the user terminal 20 outputs terminal response data corresponding to the reception of the message data to the estimation unit 100. For example, the user terminal 20 may be a terminal carried by a user and operated by the user.

[0051] (Service Functions) The user terminal 20 has a service function for the user. For example, the service function may include at least one of an autonomy function, a sense of competence function, a relationship function, a message viewing function, a message receptivity acquisition function, and a behavior registration function. The service function may be a service function related to stair walking.

[0052] (autonomy function) The autonomy function may be a function that detects an action selected by the user and presents the details of the action selected by the user to the user. For example, the autonomy function may be a function that detects the user's staircase usage status per day (for example, the user went up and down three flights of stairs yesterday and two flights of stairs the day before yesterday) and presents the detected staircase usage status to the user.

[0053] (competence function) The sense of competence function may be a function that presents the user with a superior result regarding the user's staircase usage. For example, the superior result may be information indicating how much the user's staircase usage is superior to the staircase usage of other users (for example, information that the amount of stairs ascended and descended by the user yesterday was one flight more than the amount of stairs ascended and descended by other users yesterday).

[0054] Alternatively, the superior result may be information indicating how much better the staircase usage by the user today is than the staircase usage by the user yesterday (for example, information that the amount of staircase usage by the user today was one flight more than the amount of staircase usage by the user yesterday), or may be ranking information that ranks the amount of staircase usage by multiple users, including the user and other users, in descending order of the amount of staircase usage by the user.

[0055] (Relationship Function) The relationship function may be a function for sharing the staircase usage status by the user between the user and other users. For example, the relationship function may be a function for making the staircase usage status by the user viewable not only by the user but also by other users. For example, the staircase usage status may be shared directly via a network between the user terminal 20 used by the user and a terminal used by another user. The staircase usage status may be shared via the server 10 between the user terminal 20 used by the user and a terminal used by another user.

[0056] (Message viewing function) The message viewing function may be a function of presenting message data output from the intervention unit 130 to the user.

[0057] (Message acceptance rate acquisition function) The message acceptability acquisition function may be a function for acquiring a user's acceptability (hereinafter also referred to as "message acceptability") for message data presented to the user. The message acceptability indicates the user's response when the user views the message data. In the following, it is mainly assumed that the message acceptability is a binary option, and is expressed by either "1: acceptable" or "0: unacceptable". However, there may be three or more types of candidates for message acceptability. For example, the message acceptability may be acquired based on an operation by the user.

[0058] (Action registration function) The behavior registration function may be a function for registering the performance of a behavior based on an operation by a user. For example, the behavior registered by the behavior registration function may be mainly a behavior that is difficult to detect using a sensor (e.g., eating, etc.). For example, the user may input whether or not the behavior has been performed on a registration page. Alternatively, in a case where the message data includes a content that asks whether or not the behavior has been performed, the response to the message data may include the whether or not the behavior has been performed selected by the user.

[0059] An example of the configuration of the mind estimation system 1 according to the embodiment of the present invention has been described above.

[0060] [1-2. Description of operation] Next, an operation example of the mind estimation system 1 according to the embodiment of the present invention will be described.

[0061] Fig. 2 is a diagram for explaining the operation of the mind estimation system 1 according to the embodiment of the present invention. As shown in Fig. 2, the operation of the mind estimation system 1 according to the embodiment of the present invention is divided into the steps of (S1) determining whether or not a measurement timing has arrived, (S2) obtaining terminal response data and calculating behavior analysis data, (S3) estimating mind data, (S4) determining and delivering message data, and (S5) determining whether or not to end the operation.

[0062] Each of these steps will be described in turn below.

[0063] (S1) Determine whether the measurement timing has arrived The server 10 determines whether or not the measurement timing has arrived. For example, the measurement timing arrives at a predetermined cycle. In the following, it is mainly assumed that the predetermined cycle is two weeks. However, the predetermined cycle may be arbitrarily set according to the type of target behavior or the usage form of the mind estimation system 1.

[0064] If the measurement timing has arrived, the server 10 proceeds to S2. When the measurement timing has arrived, the current period is from two weeks ago to the present, and the previous period is from four weeks ago to two weeks ago. The current period corresponds to an example of a first period, and the previous period corresponds to an example of a second period that is the period before the first period. On the other hand, if the measurement timing has not arrived, the server 10 proceeds to S4.

[0065] (S2) Acquire terminal response data and calculate behavior analysis data The behavior analysis unit 110 acquires terminal response data for the current period (from two weeks ago to the present, with the present as the base date) from the user terminal 20. The behavior analysis unit 110 then analyzes the acquired terminal response data to obtain behavior analysis data. The behavior analysis unit 110 outputs the behavior analysis data to the mind estimation unit 120 and proceeds to S3.

[0066] Fig. 3 is a diagram showing an example of the terminal response data, which is configured to include service operation data and action execution data.

[0067] (Service Operation Data) The service operation data is operation data by the user related to the service functions provided to the user by the user terminal 20. As shown in Fig. 3, the service operation data is composed of the date and time of the user's access to the service functions (autonomy function, competence function, relationship function, message viewing function, message receptivity acquisition function, and behavior registration function), the message receptivity which is the user's receptivity to message data, etc. The service operation data is acquired by operations on the user terminal 20.

[0068] (Action implementation data) The behavior performance data is data indicating when the user walked up stairs and data indicating how much the user walked up stairs. That is, as shown in Fig. 3, the behavior performance data may include the date and time of the user walking up stairs and the amount of the user walking up stairs. The behavior performance data may be acquired based on a sensor built into the user terminal 20, a sensor provided outside the user terminal 20, or an input operation by the user to the user terminal 20.

[0069] For example, the user terminal 20 may detect whether the user is walking up stairs based on the result of detecting air pressure by an air pressure sensor built into the user terminal 20, or the result of detecting acceleration by an acceleration sensor built into the user terminal 20.

[0070] Alternatively, the performance of stair walking may be detected by the user terminal 20 based on the reception of radio waves from a beacon installed on or near the stairs by a receiver built into the user terminal 20. Alternatively, the performance of stair walking may be detected by the user terminal 20 based on the fact that a position detected by a GNSS (Global Navigation Satellite System) sensor built into the user terminal 20 belongs to a preset stair area.

[0071] (Behavioral analysis data) Fig. 4 is a diagram showing an example of behavior analysis data, which may include service operation frequency data, behavior execution frequency data, and message receptivity data.

[0072] (Service operation frequency data) The service operation frequency data is data indicating the frequency of access by the user to each of the service functions, calculated by the behavior analysis unit 110 based on the service operation data among the terminal response data. For example, the frequency of access by the user to an autonomy function is a result of counting the number of times the user has accessed the autonomy function during the current period (from two weeks ago to the present, with the present as the base date) based on the date and time of the user's access to the autonomy function.

[0073] (Frequency of behavior data) The behavior performance frequency data is data indicating the number of days on which stair walking was performed, calculated by the behavior analysis unit 110 based on the behavior performance data in the terminal response data. For example, the number of days on which stair walking was performed is a result of counting the number of days on which the user walked up stairs a predetermined amount or more during the current period (from two weeks ago to the present, with the present as the base).

[0074] (Message acceptance data) The message receptivity data is data indicating a trend in message receptivity, calculated by the behavior analysis unit 110 based on the message receptivity of the service operation data among the terminal response data. For example, the trend in message receptivity may be an average value of message receptivity by users in the current period (from two weeks ago to the present, with the present as the base). For example, the average value may be represented by a value greater than or equal to 0 and less than or equal to 1.

[0075] (S3) Estimation of psychological data The psychology estimation unit 120 estimates psychology data for the current period (from two weeks ago to the present, with the present as the base) based on the behavioral analysis data output from the behavior analysis unit 110. Then, the psychology estimation unit 120 outputs the psychology data to the intervention unit 130 and proceeds to S4.

[0076] FIG. 5 is a diagram showing an example of psychological data. As shown in FIG. 5, the psychological data may include motivation data, behavioral change stage data, and self-efficacy data. In the following, it is mainly assumed that the psychology estimation unit 120 estimates all of the motivation data, behavioral change stage data, and self-efficacy data as psychological data. However, the psychology estimation unit 120 may estimate one or more of the motivation data, behavioral change stage data, and self-efficacy data as psychological data.

[0077] (Motivation data) The motivation data is psychological data that indicates the strength of the user's interest in stair walking or a desire that can be achieved by stair walking (e.g., diabetes prevention, diversion, etc.). The strength of the user's psychological desire for stair walking may change depending on the service operation frequency data. Therefore, the psychology estimation unit 120 may estimate the motivation data for the current period (from two weeks ago to the present, with the present as the base) based on the service operation frequency data among the behavior analysis data output from the behavior analysis unit 110.

[0078] For example, the psychology estimation unit 120 may estimate the motivation data to be larger as the service operation frequency data becomes larger. As an example, the service operation frequency data may be divided into 10 stages, and corresponding data may be provided in order from the lowest stage of the service operation frequency data to which lower values ​​of motivation data are associated. In this case, the psychology estimation unit 120 may estimate the motivation data by acquiring the motivation data associated with the service operation frequency data output from the behavior analysis unit 110 from the corresponding data.

[0079] Here, it is mainly assumed that the number of stages of the numerical value expressing the motivation data is 10. However, the number of stages of the numerical value expressing the motivation data does not necessarily have to be 10.

[0080] Note that the service operation frequency data cannot be calculated immediately after the user starts using the psychology estimation system 1. Therefore, the psychology estimation unit 120 may use some data automatically recorded in the user terminal 20 as motivation data immediately after the user starts using the psychology estimation system 1, or may use the data as data for calculating motivation data. Alternatively, the psychology estimation unit 120 may use motivation data previously acquired from the user as motivation data immediately after the user starts using the psychology estimation system 1.

[0081] As an example, a table in which the behavior change stage and the motivation data are associated with each other may be prepared in advance. In this case, the user terminal 20 may acquire the current behavior change stage from the user by conducting a questionnaire survey of the user, and the mentality estimation unit 120 may acquire the motivation data immediately after the user starts using the mentality estimation system 1 by acquiring the motivation data corresponding to the current behavior change stage from the table.

[0082] (Behavioral change stage data) The behavior change stage data is psychological data that represents the user's awareness and behavioral state regarding stair walking in five stages. The awareness and behavioral state regarding stair walking may change depending on the behavior performance frequency data. Therefore, the psychology estimation unit 120 may estimate behavior change stage data for the current period (from two weeks ago to the present, with the present as the base) based on the behavior performance frequency data among the behavior analysis data output from the behavior analysis unit 110.

[0083] More specifically, in the behavior change stages, in the pre-contemplation and contemplation stages, the behavior is hardly performed. On the other hand, in the preparation stage, the behavior is performed irregularly. Moreover, in the execution and maintenance stages, the behavior is performed continuously. Therefore, the mind estimation unit 120 determines which of these three groups the user's consciousness and behavior state falls into based on the behavior performance frequency data.

[0084] The mental state estimation unit 120 judges whether the number of days of implementation in the current period is less than a first number of days of implementation set in advance based on the behavior performance frequency data. When the mental state estimation unit 120 judges that the number of days of implementation in the current period is less than the first number of days of implementation, it judges that the state of consciousness and behavior of the user corresponds to the first group, that is, the pre-contemplation stage and the contemplation stage.

[0085] On the other hand, when the psychology estimation unit 120 determines that the number of implementation days in the current period is equal to or greater than the first implementation days, the psychology estimation unit 120 determines whether the number of implementation days in the current period is smaller than a second implementation number set in advance. The second implementation number is set in advance as a number of days larger than the first implementation number. When the psychology estimation unit 120 determines that the number of implementation days in the current period is smaller than the second implementation number, the psychology estimation unit 120 determines that the state of consciousness and behavior of the user corresponds to the second group, the preparation period.

[0086] When the mental state estimation unit 120 determines that the number of implementation days in the current period is equal to or greater than the second implementation number, it determines that the state of consciousness and behavior of the user falls into the third group, that is, the action period and the maintenance period.

[0087] Furthermore, the difference between the pre-contemplation period and the contemplation period is the difference in the degree of interest in stair walking. Therefore, when the mentality estimation unit 120 determines that the state of consciousness and behavior of the user corresponds to the pre-contemplation period or the contemplation period, it determines whether the motivation data in the current period is smaller than a first threshold value set in advance.

[0088] Then, when the psychology estimation unit 120 determines that the motivation data for the current period is smaller than the first threshold, it may set the value indicating the pre-contemplation stage as the behavior change stage data. On the other hand, when the psychology estimation unit 120 determines that the motivation data for the current period is equal to or larger than the first threshold, it may set the value indicating the contemplation stage as the behavior change stage data.

[0089] The difference between the action period and the maintenance period is the duration of stair walking. When the state of consciousness and behavior of the user is determined to correspond to the action period or the maintenance period, the mental state estimation unit 120 determines whether the duration of stair walking by the user after the action period is less than a second threshold value set in advance.

[0090] Then, when the mentality estimation unit 120 determines that the duration of the user's stair walking after the action period is less than the second threshold, it may set the value indicating the action period as the behavior change stage data. On the other hand, when the mentality estimation unit 120 determines that the duration of the user's stair walking after the action period is equal to or greater than the second threshold, it may set the value indicating the maintenance period as the behavior change stage data.

[0091] The duration of stair walking after the execution period may be obtained in any manner. As an example, the user terminal 20 may obtain the behavior change stage and the duration of stair walking as initial values ​​at the time when the user starts using the psychology estimation system 1 by conducting a questionnaire survey of the user, and may determine the duration of stair walking after the execution period immediately after the user starts using the psychology estimation system 1 based on these initial values.

[0092] Thereafter, as long as a period continues during which the number of days the user performs stair walking is greater than the threshold value, the mind estimation section 120 may add that period to the initial value of the duration of stair walking based on the behavior performance frequency data.

[0093] Note that the service operation frequency data cannot be calculated immediately after the user starts using the psychology estimation system 1. Therefore, the psychology estimation unit 120 may use some data automatically recorded in the user terminal 20 as the behavior change stage data immediately after the user starts using the psychology estimation system 1, or may use the data as data for calculating the behavior change stage data. Alternatively, the psychology estimation unit 120 may use the behavior change stage data acquired from the user in advance as the behavior change stage data immediately after the user starts using the psychology estimation system 1.

[0094] As an example, the user terminal 20 may obtain current behavior change stage data from the user by conducting a questionnaire to the user, thereby obtaining behavior change stage data immediately after the user starts using the psychology estimation system 1.

[0095] (Self-efficacy data) The self-efficacy data is psychological data that indicates the degree of confidence that the user has in completing stair walking. The degree of confidence in completing stair walking may vary depending on the behavior performance frequency data. Therefore, the psychology estimation unit 120 may estimate the self-efficacy data for the current period (from two weeks ago to the present, with the present as the base) based on the behavior performance frequency data among the behavior analysis data output from the behavior analysis unit 110.

[0096] The psychology estimation unit 120 estimates the self-efficacy data based on which of the above three groups the behavioral change stage indicated by the already estimated behavioral change stage data corresponds to. In the following, it is mainly assumed that the self-efficacy data is expressed by a ten-level numerical value. However, the number of numerical stages in which the self-efficacy data is expressed is not limited to ten levels.

[0097] More specifically, in the pre-contemplation and contemplation stages of behavioral change, an increase in self-efficacy is expressed as an increase in motivation, and a decrease in self-efficacy is expressed as a decrease in motivation. Therefore, the psychology estimation unit 120 may estimate the self-efficacy data for the current period based on the increase / decrease tendency of the motivation data from the previous period (the period from four weeks ago based on the present to two weeks ago based on the present) to the current period (the period from two weeks ago based on the present to the present) and the self-efficacy data for the previous period.

[0098] As an example, when the motivation data increases from the previous period to the current period, the psychology estimation unit 120 may estimate the self-efficacy data for the current period by increasing the self-efficacy data for the previous period by a predetermined increase amount. On the other hand, when the motivation data decreases from the previous period to the current period, the psychology estimation unit 120 may estimate the self-efficacy data for the current period by decreasing the self-efficacy data for the previous period by a predetermined decrease amount. When neither of these cases occurs, the psychology estimation unit 120 may use the self-efficacy data for the previous period as the self-efficacy data for the current period.

[0099] In the pre-contemplation and contemplation stages of behavioral change, an increase in self-efficacy may appear as an increase in behavior frequency. Therefore, the psychology estimation unit 120 may add a condition that the behavior performance frequency data has an increasing trend from the previous period to the current period to the conditions for increasing the self-efficacy data. In other words, the psychology estimation unit 120 may increase the self-efficacy data of the previous period by a predetermined increase amount only when both the motivation data and the behavior performance frequency data have increased from the previous period to the current period.

[0100] In the preparation stage of the behavioral change stage, an increase in self-efficacy is manifested as an increase in behavior frequency or an increase in motivation, and a decrease in self-efficacy is manifested as a decrease in behavior frequency or a decrease in motivation. Therefore, the psychology estimation unit 120 may estimate the self-efficacy data for the current period based on the increase / decrease trend of at least one of the motivation data and the behavior performance frequency data from the previous period to the current period, and the self-efficacy data for the previous period.

[0101] As an example, when one or both of the motivation data and the behavioral performance frequency data increase from the previous period to the current period, the psychology estimation unit 120 may estimate the self-efficacy data for the current period by increasing the self-efficacy data for the previous period by a predetermined increase amount. On the other hand, when neither the motivation data nor the behavioral performance frequency data increase from the previous period to the current period, and when one or both of the motivation data and the behavioral performance frequency data decrease, the psychology estimation unit 120 may estimate the self-efficacy data for the current period by decreasing the self-efficacy data for the previous period by a predetermined decrease amount. When neither of these cases occurs, the psychology estimation unit 120 may use the self-efficacy data for the previous period as the self-efficacy data for the current period.

[0102] In the action and maintenance stages of behavioral change, an increase in self-efficacy is manifested as a maintenance or increase in behavior frequency, and a decrease in self-efficacy is manifested as a decrease in behavior frequency. Therefore, the psychology estimation unit 120 may estimate the self-efficacy data for the current period based on the increase / decrease trend of the behavior performance frequency data from the previous period to the current period and the self-efficacy data for the previous period.

[0103] As an example, when the behavior performance frequency data increases from the previous period to the current period, the psychology estimation unit 120 may estimate the self-efficacy data for the current period by increasing the self-efficacy data for the previous period by a predetermined increase amount. On the other hand, when the behavior performance frequency data decreases from the previous period to the current period, the psychology estimation unit 120 may estimate the self-efficacy data for the current period by decreasing the self-efficacy data for the previous period by a predetermined decrease amount. When neither of these cases occurs, the psychology estimation unit 120 may use the self-efficacy data for the previous period as the self-efficacy data for the current period.

[0104] Furthermore, the mental state estimation unit 120 may perform a correction to decrease the self-efficacy data when the behavior performance frequency data of the user in the current period is smaller than a preset first value and / or when the message receptivity data of the user in the current period is smaller than a preset second value. The first value may be set to any value, and may be, for example, 8 days / 2 weeks. The second value may be set to any value, and may be, for example, 0.7.

[0105] As a result, even if a message that is difficult for the user to accept (for example, a recommendation for a difficult action) is presented to the user, the psychology estimation unit 120 performs a correction to reduce the self-efficacy data, and the intervention unit 130 can determine a message that is easy for the user to accept based on the self-efficacy data. The operation of the intervention unit 130 will be described in step S4.

[0106] Note that the service operation frequency data cannot be calculated immediately after the user starts using the psychology estimation system 1. Therefore, the psychology estimation unit 120 may use some data automatically recorded in the user terminal 20 as the self-efficacy data immediately after the user starts using the psychology estimation system 1, or may use the data as data for calculating the self-efficacy data. Alternatively, the psychology estimation unit 120 may use self-efficacy data previously acquired from the user as the self-efficacy data immediately after the user starts using the psychology estimation system 1.

[0107] As an example, a table in which the behavioral change stage and the self-efficacy data are associated with each other may be prepared in advance. In this case, the user terminal 20 may acquire the current behavioral change stage from the user by conducting a questionnaire survey of the user, and the psychology estimation unit 120 may acquire the self-efficacy data immediately after the user starts using the psychology estimation system 1 by acquiring the self-efficacy data corresponding to the current behavioral change stage from the table.

[0108] (S4) Determining and delivering message data The intervention unit 130 performs intervention regarding the user's stair walking. Specifically, the intervention unit 130 determines message data based on the psychological data output from the psychological estimation unit 120. Then, the intervention unit 130 performs intervention by outputting the determined message data to the user terminal 20, and proceeds to step S5. The method of determining the message data will be specifically described below.

[0109] First, the intervention unit 130 holds in advance a group of message data to be provided to the user for each of the psychological data (motivation data and behavioral change stage data) and the existing habits. The existing habits may include information indicating what behavior the user will perform when certain environmental conditions are met. For example, the environmental conditions may include conditions related to the time of day, location, and weather. At this time, the intervention unit 130 holds the group of message data in a state in which each message data is associated with an action level corresponding to the difficulty level at which the user accepts the message. It should be noted that the action level can also be said to indicate the intensity or difficulty of the action.

[0110] For example, the behavior level is expressed by seven numerical steps from 1 to 7. However, the number of numerical steps representing the behavior level is not limited to seven.

[0111] In addition, the intervention unit 130 retains self-efficacy data (hereinafter also referred to as "past self-efficacy data") and behavior level (hereinafter also referred to as "past behavior level") at the time when the user started using the psychology estimation system 1, as well as the user's target behavior level.

[0112] The intervention unit 130 may acquire the past self-efficacy data in any manner. For example, the intervention unit 130 may acquire the past self-efficacy data input by the user to the user terminal 20 immediately after the user starts using the psychology estimation system 1. Furthermore, the intervention unit 130 may acquire the past behavior level and the target behavior level in any manner. For example, the intervention unit 130 may acquire the past behavior level and the target behavior level input by the user to the user terminal 20 when the user starts using the psychology estimation system 1.

[0113] Fig. 6 is a diagram showing an example of an activity level and an activity content image. When the user inputs the past activity level and the target activity level to the user terminal 20, it is preferable that the user terminal 20 presents the user with an activity content image for each activity level as shown in Fig. 6. This makes it easier for the user to select the current activity level and the target activity level.

[0114] The intervention unit 130 estimates an activity level suitable for the user based on the psychological data output from the psychological estimation unit 120. More specifically, the intervention unit 130 estimates an activity level suitable for the user based on the past activity level and the target activity level input by the user, the past self-efficacy data, and the self-efficacy data estimated by the psychological estimation unit 120. As a specific method for estimating the activity level, various estimation methods can be adopted.

[0115] For example, the intervention unit 130 may use four pieces of data, namely, self-efficacy data (represented as SE) estimated by the psychology estimation unit 120, previously stored past self-efficacy data (represented as SE0), a past behavior level (represented as L0), and a target behavior level (represented as LG), to estimate a behavior level (represented as L) appropriate for the user according to a linear prediction formula shown in the following equation (1).

[0116] L=(LG-L0) / (SEmax-SE0)×(SE-SE0)+L0...(1)

[0117] Here, SEmax represents the maximum value of the self-efficacy data, and when the self-efficacy data is expressed by a 10-point scale from 1 to 10, SEmax=10.

[0118] According to the above formula (1), the behavior level that the user can perform at the time when the user starts using the psychology estimation system 1 is set as an initial value, and as the self-efficacy data increases, the behavior level gradually increases, and when the self-efficacy data reaches a maximum, the behavior level is calculated so as to reach the user's target behavior level. Therefore, the behavior level that the user can easily perform can be estimated according to the degree of the user's self-efficacy.

[0119] The intervention unit 130 determines message data corresponding to the estimated activity level from a group of message data stored in advance. For example, the intervention unit 130 determines message data corresponding to the estimated activity level, the currently satisfied environmental conditions, and the activity being performed by the user from a group of message data stored in advance.

[0120] The intervention unit 130 outputs the determined message data to the user terminal 20, which displays the message data. The user notices the message data displayed by the user terminal 20, which causes a change in awareness and behavior regarding stair walking.

[0121] Although omitted from the configuration diagram shown in FIG. 1, the intervention unit 130 may detect the time period, location, weather, and user behavior based on action execution data, etc., from the terminal response data output by the user terminal 20, in order to determine what environmental conditions are currently being satisfied and what action the user is currently taking.

[0122] Specifically, the intervention unit 130 may detect a time period to which the date and time of stair walking belongs, based on the date and time of the execution of the stair walking included in the behavior execution data. The intervention unit 130 may also determine a place to which the position belongs, based on a position detected by a GNSS sensor built into the user terminal 20. The intervention unit 130 may also obtain weather information corresponding to the position from an external weather service. The intervention unit 130 may also detect the user's behavior based on the detection result of acceleration by an acceleration sensor built into the user terminal 20.

[0123] As a result, the intervention unit 130 may detect a situation in which "a user at a certain activity level passes through an elevator hall while moving around a building during the daytime on a weekday," and output message data corresponding to this situation to the user terminal 20, such as "Going up and down the stairs even a little bit every day is good for your health."

[0124] Furthermore, the intervention unit 130 may determine message data based on motivation data and / or behavior change stage data among the psychological data output from the mental state estimation unit 120.

[0125] For example, when the user's motivation data is large, it can be assumed that the user is highly receptive to message data. Therefore, the intervention unit 130 may output message data to the user terminal 20 more frequently by relaxing the conditions for outputting message data as the user's motivation data is large. In addition, the intervention unit 130 may change the content of the message data according to the behavior change stage data and output the message data to the user terminal 20.

[0126] If no message data is extracted from the message data group, the intervention unit 130 does not output anything to the user terminal 20 and proceeds to S5.

[0127] 7 is an example of message data held by the intervention unit 130. As described above, for each piece of message data, a behavior level, psychological data (motivation data and behavior change stage data), environmental conditions (conditions related to time, place, and weather), and user behavior are defined as conditions for outputting the message data.

[0128] For example, the conditions for outputting message data saying "Going up and down the stairs even a little bit every day is good for your health" are as follows: behavior level is 4, motivation data is 1 to 3, behavior change stage data is 2 to 3 (contemplation stage or preparation stage), the user's location is an elevator lobby, the time period is 8:00 to 20:00, the weather is good, and the user's sitting time is 2 hours or more.

[0129] (S5) Determine whether to end the operation When the user inputs an operation to end use to the user terminal 20, the operation of the mind estimation system 1 ends. Otherwise, the operation proceeds to S1.

[0130] An example of the operation of the mindset estimation system 1 according to the embodiment of the present invention has been described above.

[0131] [1-3. Description of effects] As described above, in the psychology estimation system 1 according to the embodiment of the present invention, the behavior analysis unit 110 inputs terminal response data indicating the user's behavioral results from the user terminal 20 and outputs behavior analysis data. Then, the psychology estimation unit 120 outputs at least one of motivation data, behavioral change stage data, and self-efficacy data as psychology data based on the behavior analysis data.

[0132] The intervention unit 130 outputs message data suited to the psychological data to the user terminal 20. At this time, the user can view the message data displayed by the user terminal 20 and take action.

[0133] The psychological data is estimated by the psychological estimation unit 120 based on the terminal response data output from the user terminal 20, and more specifically, can be estimated based on the sensor data or the service operation data automatically collected by the user terminal 20. This reduces the workload on the user, and provides the effect of allowing the user to easily grasp the change in the psychological state over time.

[0134] Furthermore, in the psychology estimation system 1 according to the embodiment of the present invention, not only behavior change stage data but also self-efficacy data and motivation data can be estimated as psychological data. This provides an advantage that the psychological state of a user in the early behavior change stage, which is difficult to grasp from behavior change stage data alone, can be accurately grasped.

[0135] As described above, according to an embodiment of the present invention, the problem of being unable to easily and accurately grasp changes in a user's psychological state over time is solved, and it becomes possible to easily and accurately obtain the psychological progress of a user's behavior change, including for users who are in the early behavior change stage.

[0136] The details of the embodiment of the present invention have been described above.

[0137] <2. Hardware configuration example> Next, a hardware configuration of an information processing device 900 will be described as an example of the hardware configuration of the server 10 according to an embodiment of the present invention. Fig. 8 is a diagram showing the hardware configuration of the information processing device 900 as an example of the hardware configuration of the server 10 according to an embodiment of the present invention. Note that the hardware configuration of the user terminal 20 may also be realized in the same manner as the hardware configuration of the information processing device 900 shown in Fig. 8.

[0138] As shown in FIG. 8, the information processing device 900 includes a CPU (Central Processing Unit) 901, a ROM (Read Only Memory) 902, a RAM (Random Access Memory) 903, a host bus 904, a bridge 905, an external bus 906, an interface 907, an input device 908, an output device 909, a storage device 910, and a communication device 911.

[0139] The CPU 901 functions as an arithmetic processing device and control device, and controls the overall operation of the information processing device 900 in accordance with various programs. The CPU 901 may also be a microprocessor. The ROM 902 stores programs and arithmetic parameters used by the CPU 901. The RAM 903 temporarily stores programs used in the execution of the CPU 901 and parameters that change appropriately during the execution. These are connected to each other by a host bus 904 consisting of a CPU bus etc.

[0140] The host bus 904 is connected to an external bus 906, such as a PCI (Peripheral Component Interconnect / Interface) bus, via a bridge 905. It is not necessary to configure the host bus 904, bridge 905, and external bus 906 separately, and these functions may be implemented in a single bus.

[0141] The input device 908 is composed of input means for the user to input information, such as a mouse, a keyboard, a touch panel, a button, a microphone, a switch, and a lever, and an input control circuit that generates an input signal based on the user's input and outputs it to the CPU 901. A user who operates the information processing device 900 can input various data to the information processing device 900 and instruct the information processing device 900 to perform processing operations by operating this input device 908.

[0142] The output device 909 includes, for example, a display device such as a CRT (Cathode Ray Tube) display device, a Liquid Crystal Display (LCD) device, an OLED (Organic Light Emitting Diode) device, or a lamp, and an audio output device such as a speaker.

[0143] The storage device 910 is a device for storing data. The storage device 910 may include a storage medium, a recording device for recording data in the storage medium, a reading device for reading data from the storage medium, and a deleting device for deleting data recorded in the storage medium. The storage device 910 is configured, for example, with an HDD (Hard Disk Drive). This storage device 910 drives a hard disk and stores programs executed by the CPU 901 and various data.

[0144] The communication unit 911 is, for example, a communication interface configured with a communication device for connecting to a network, etc. Also, the communication unit 911 may be compatible with either wireless communication or wired communication.

[0145] An example of the hardware configuration of the information processing device 900 as an example of the server 10 according to an embodiment of the present invention has been described above.

[0146] <3. Modifications> Although the preferred embodiment of the present invention has been described in detail above with reference to the accompanying drawings, the present invention is not limited to such an example. It is clear that a person having ordinary knowledge in the technical field to which the present invention pertains can conceive of various modified or altered examples within the scope of the technical ideas described in the claims, and it is understood that these also naturally belong to the technical scope of the present invention.

[0147] [3-1. Variations in target behavior] In the above description, a case has been described in which the user makes stair walking a habit as an example of a target behavior, but the target behavior is not limited to stair walking.

[0148] For example, the target behavior may be walking, eating, exercising, socializing, learning, or environmentally conscious behavior. In this case, by defining the type of terminal response data according to the type of target behavior, it is possible to enjoy the same effect as that enjoyed when the target behavior is stair walking. For example, when the target behavior is environmentally conscious behavior, the amount of greenhouse gases from purchased items may be defined as the terminal response data.

[0149] [3-2. Variations regarding system configuration] In the above, the behavior analysis unit 110, the mind estimation unit 120, and the intervention unit 130 are provided in the server 10, and the user terminal 20 is a mobile terminal. However, the configuration of the mind estimation system 1 is not limited to this example.

[0150] For example, all or part of the behavior analysis unit 110, the mental state estimation unit 120, and the intervention unit 130 may be provided in the user terminal 20, and the user terminal 20 may be a signage terminal, a smart speaker, a communication robot, or the like. In addition, all of the terminal response data input to the behavior analysis unit 110 does not need to be acquired from the user terminal 20. For example, a camera system installed in a building may capture an image of a user, and behavioral data of the user recognized from the image captured by the camera system may be output to the behavior analysis unit 110.

[0151] [3-3. Variations in psychological data] In the above, the case where the psychology estimation unit 120 estimates motivation data, stage of behavioral change data, and self-efficacy data as examples of psychology data has been mainly described. These motivation data, stage of behavioral change data, and self-efficacy data may be interpreted in a broad sense as described below.

[0152] For example, "motivation" represents the strength of a user's interest in the target behavior or the desire to be achieved by the target behavior. Therefore, "motivation" may broadly include meanings such as "interest in the target behavior," "strength of desire," and "strength of pain."

[0153] In addition, the "stage of behavior change" generally represents the state of consciousness and behavior that a subject has toward a target behavior on a five-point scale. Therefore, the "stage of behavior change" can broadly include the state of consciousness and behavior estimated using indicators classified into stages other than five.

[0154] Furthermore, "self-efficacy" represents the degree of confidence that a user has in completing a target behavior. Therefore, "self-efficacy" may broadly include the meaning of "confidence in behavior," "ease of performing a behavior," and "ability to perform a behavior."

[0155] [3-4. Variations regarding estimation of activity level] In the above, an example has been described in which the intervention unit 130 estimates an activity level by a linear prediction formula based on the user's self-efficacy data and outputs message data appropriate for the estimated activity level. However, the method of estimating an activity level is not limited to the example using the linear prediction formula.

[0156] For example, if the relationship between self-efficacy data and the behavioral level is experimentally determined in advance and the relationship between the two is expressed in a tabular form, the behavioral level may be estimated from this relationship between the two and the self-efficacy data. [Explanation of symbols]

[0157] 1. Psychological estimation system 10 Server 100 Estimation part 110 Behavior Analysis Department 120 Psychological Estimation Department 130 Intervention Department 20 User terminal

Claims

1. an estimation unit that estimates, based on time-series behavioral data of a subject, one or more of motivation data, behavioral change stage data, and self-efficacy data related to a target behavior by the subject as psychological data of the subject; Psychological estimation system.

2. The mind estimation system includes an intervention unit that performs an intervention regarding the target behavior of the subject, The intervention unit determines message data based on the psychological data, and performs the intervention by outputting the message data to a terminal of the subject. The mindset estimation system according to claim 1 .

3. The intervention unit estimates a behavior level indicating an intensity of the target behavior suitable for the subject based on the self-efficacy data, and determines message data corresponding to the behavior level. The mindset estimation system according to claim 2 .

4. the intervention unit estimates the behavior level based on a past behavior level and a target behavior level input by the subject, past self-efficacy data, and the self-efficacy data estimated by the estimation unit; The mindset estimation system according to claim 3 .

5. the estimation unit performs a correction to decrease the self-efficacy data when behavior performance frequency data, which is the number of days during which the subject performed the target behavior in a first period, is smaller than a preset first value and / or when message receptivity data of the subject for message data output to the subject's terminal during the first period is smaller than a preset second value; The intervention unit estimates the behavior level based on the corrected self-efficacy data. The mindset estimation system according to claim 3 .

6. The behavioral data includes service operation data, which is operation data of the subject related to a service function for the subject, The estimation unit estimates the motivation data based on the service operation data. The mindset estimation system according to claim 1 .

7. The estimation unit is a behavior analysis unit that calculates service operation frequency data indicating an access frequency of the subject to the service function during a first period based on the service operation data; a mental state estimation unit that estimates motivation data for the first period based on the service operation frequency data; The mindset estimation system according to claim 6 , comprising:

8. the mental state estimation unit estimates the motivation data for the first period to be larger as the service operation frequency data is larger; The mindset estimation system according to claim 7.

9. The behavioral data includes behavior performance data including data indicating when the target behavior was performed by the subject, The estimation unit estimates the behavior change stage data based on the behavior execution data. The mindset estimation system according to claim 1 .

10. The estimation unit is a behavior analysis unit that calculates behavior performance frequency data, which is the number of days that the subject performs the target behavior in a first period, based on the behavior performance data; a mental state estimation unit that estimates behavioral change stage data for the first period based on the behavior performance frequency data; The mindset estimation system according to claim 9 , comprising:

11. The estimation unit estimates the motive data, The mindset estimation unit is determining whether the number of days of implementation in the first period is less than a first number of days of implementation based on the behavior implementation frequency data, and if it is determined that the number of days of implementation in the first period is less than the first number of days of implementation, determining whether the motivation data is less than a first threshold value, and if it is determined that the motivation data is less than the first threshold value, setting a value indicating a pre-contemplation stage as the behavior change stage data, and if it is determined that the motivation data is equal to or greater than the first threshold value, setting a value indicating a contemplation stage as the behavior change stage data. The mindset estimation system according to claim 10.

12. The mindset estimation unit is determining whether the number of implementation days in the first period is equal to or greater than a first number of implementation days and is smaller than a second number of implementation days based on the behavior implementation frequency data, and when it is determined that the number of implementation days in the first period is equal to or greater than the first number of implementation days and is smaller than the second number of implementation days, setting a value indicating a preparation period as the behavior change stage data; The mindset estimation system according to claim 10.

13. The mindset estimation unit is Based on the behavior performance frequency data, it is determined whether the number of days of performance in the first period is equal to or greater than a second number of days of performance, and if it is determined that the number of days of performance in the first period is equal to or greater than the second number of days of performance, it is determined whether the duration of the target behavior by the subject after the execution period is shorter than a second threshold value, and if it is determined that the duration after the execution period is shorter than the second threshold value, a value indicating the execution period is set as the behavior change stage data, and if it is determined that the duration after the execution period is equal to or greater than the second threshold value, a value indicating the maintenance period is set as the behavior change stage data. The mindset estimation system according to claim 10.

14. The behavioral data includes behavior performance data including data indicating when the target behavior was performed by the subject, The estimation unit estimates the self-efficacy data based on the behavior execution data. The mindset estimation system according to claim 1 .

15. The estimation unit is a behavior analysis unit that calculates behavior performance frequency data, which is the number of days that the subject performs the target behavior in a first period, based on the behavior performance data; a psychology estimation unit that estimates self-efficacy data for the first period based on the behavior performance frequency data; The mind estimation system of claim 14 , comprising:

16. The estimation unit estimates the motive data, The mindset estimation unit is determining whether the number of days of implementation in the first period is less than a first number of days of implementation based on the behavior implementation frequency data, and when it is determined that the number of days of implementation in the first period is less than the first number of days of implementation, estimating self-efficacy data for the first period based on an increase / decrease trend of motivation data from a second period, which is a period preceding the first period, to the first period and self-efficacy data for the second period; The mindset estimation system according to claim 15.

17. The estimation unit estimates the motive data, The mindset estimation unit is determining whether the number of days of implementation in the first period is equal to or greater than the first number of days of implementation and is smaller than the second number of days of implementation based on the behavior performance frequency data, and when it is determined that the number of days of implementation in the first period is equal to or greater than the first number of days of implementation and is smaller than the second number of days of implementation, estimating self-efficacy data for the first period based on an increase / decrease tendency of at least one of motivation data and behavior performance frequency data from a second period preceding the first period to the first period, and on self-efficacy data for the second period; The mindset estimation system according to claim 15.

18. The mind estimation unit is determining whether the number of days of implementation in the first period is equal to or greater than the second number of days of implementation based on the behavior performance frequency data, and when it is determined that the number of days of implementation in the first period is equal to or greater than the second number of days of implementation, estimating self-efficacy data for the first period based on an increase / decrease trend of behavior performance frequency data from a second period, which is a period preceding the first period, to the first period and self-efficacy data for the second period; The mindset estimation system according to claim 15.

19. The processor estimates, based on the time-series behavioral data of the subject, one or more of motivation data, behavioral change stage data, and self-efficacy data regarding the target behavior by the subject as psychological data of the subject. Psychological estimation method.

20. Computer, and functioning as an estimation unit that estimates, based on time-series behavioral data of the subject, one or more of motivation data, behavioral change stage data, and self-efficacy data related to the target behavior of the subject as psychological data of the subject. program.

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