Information processing apparatus, information processing method, and system

Abstract

To provide a mechanism capable of further promoting a user's health.SOLUTION: An information processing apparatus comprises: a behavior detection unit that detects an opportunity suitable for a specific behavior and that the specific behavior has been performed on the basis of behavior data of a user; a habituation determination unit that determines a habituation level of the user regarding the specific behavior on the basis of a detection result by the behavior detection unit; and an intervention unit that intervenes with the user so as to motivate execution of the specific behavior. The habituation determination unit controls a degree of intervention by the intervention unit according to the habituation level, and further determines the habituation level on the basis of the degree of intervention by the intervention unit at a timing when the behavior data is acquired.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

[0002] In recent years, various efforts have been proposed to promote the health of users. For example, Patent Document 1 below discloses a technology aimed at encouraging users to develop habits of health-promoting behavior. The technology disclosed in Patent Document 1 provides an incentive to a user when biometric information (e.g., weight, etc.) measured by the user achieves a target value. It is expected that, in order to receive more incentives, the user will strive to achieve the target value, develop a habit of measuring biometric information, and proactively manage their health. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Publication No. 2019-3571 Summary of the Invention [Problem to be solved by the invention]

[0004] However, the technology disclosed in Patent Document 1 has difficulty in measuring the degree to which a user has made health-promoting behaviors a habit, and therefore the technology disclosed in Patent Document 1 leaves room for improvement in the health promotion effect.

[0005] Therefore, the present invention has been made in consideration of the above problems, and an object of the present invention is to provide a mechanism that can further promote the health of a user. [Means for solving the problem]

[0006] In order to solve the above problem, according to one aspect of the present invention, there is provided an information processing device comprising: a behavior detection unit that detects, based on behavioral data of a user, opportunities suitable for a specific behavior and that the specific behavior has been performed; a habituation determination unit that determines the user's habituation level for the specific behavior based on the detection result by the behavior detection unit; and an intervention unit that intervenes in the user to motivate them to perform the specific behavior, wherein the habituation determination unit controls the degree of intervention by the intervention unit in accordance with the habituation level, and determines the habituation level further based on the degree of intervention by the intervention unit at the time the behavioral data is acquired.

[0007] The habituation determination unit may control the intervention unit so that the lower the habituation level, the higher the degree of intervention by the intervention unit, and the higher the habituation level, the lower the degree of intervention by the intervention unit.

[0008] The habituation determination unit may determine that the habituation level has increased when a detection result by the behavior detection unit in a most recent predetermined period in which the degree of intervention by the intervention unit is the same satisfies a predetermined condition.

[0009] The predetermined condition may include a condition that a rate at which the specific behavior is performed relative to opportunities suitable for the specific behavior is equal to or greater than a predetermined threshold.

[0010] The predetermined condition may include that the rate at which the specific behavior is performed in relation to opportunities suitable for the specific behavior is the same as before the habituation level increased and the degree of intervention by the intervention unit decreased.

[0011] The habituation determination unit may control whether or not the intervention unit will implement a first intervention that provides an opportunity to perform the specific behavior and a second intervention that provides a reward for performing the specific behavior, depending on the habituation level.

[0012] The habituation determination unit may control the intervention unit to implement both the first intervention and the second intervention when the habituation level is 0, to implement either the first intervention or the second intervention when the habituation level is 1, and to omit both the first intervention and the second intervention when the habituation level is 2 or higher.

[0013] The habituation determination unit may determine the habituation level for each time period in which the behavior data is acquired.

[0014] The habituation determination unit may determine the habituation level for each location where the behavioral data is acquired.

[0015] The habituation determination unit may control a frequency of intervention by the intervention unit depending on the habituation level.

[0016] The habituation determination unit may control the intervention unit to transmit a message having content corresponding to the habituation level to a terminal device carried by the user.

[0017] The behavioral data may be acquired by a terminal device carried by the user.

[0018] Furthermore, in order to solve the above-mentioned problem, according to another aspect of the present invention, there is provided an information processing method executed by a computer, comprising: detecting, based on behavioral data of a user, opportunities suitable for a specific behavior and the fact that the specific behavior has been performed; determining the user's habituation level for the specific behavior based on the detection results of opportunities suitable for the specific behavior and the fact that the specific behavior has been performed; intervening with the user to motivate them to perform the specific behavior; controlling the degree of intervention with the user in accordance with the habituation level; and determining the habituation level further based on the degree of intervention at the time the behavioral data was acquired.

[0019] In order to solve the above problem, according to another aspect of the present invention, there is provided a system comprising: an information processing device that includes: a behavior detection unit that detects, based on behavioral data of a user, opportunities suitable for a specific behavior and that the specific behavior has been performed; a habituation determination unit that determines the user's habituation level for the specific behavior based on a detection result by the behavior detection unit; and an intervention unit that intervenes to motivate the user to perform the specific behavior, wherein the intervention unit controls a process of sending a message motivating the user to perform the specific behavior, and the habituation determination unit controls the degree of intervention by the intervention unit according to the habituation level, and determines the habituation level further based on the degree of intervention by the intervention unit at the time the behavioral data was acquired; and a terminal device that acquires the behavioral data, transmits the behavioral data to the information processing device, and outputs the message received from the information processing device. [Effects of the Invention]

[0020] As described above, the present invention provides a mechanism that can further promote the health of the user. [Brief explanation of the drawings]

[0021] [Figure 1] 1 is a block diagram showing an example of the configuration of a system 1 according to the present embodiment. [Figure 2] 10 is a flowchart showing an example of the flow of processing executed by the server 10 and the user terminal 20 according to the present embodiment. [Figure 3] 10 is a flowchart showing an example of the flow of the habit formation level determination process and the intervention control data generation process by the habit formation determination unit 12 when the current habit formation level is 0. [Figure 4] 10 is a flowchart showing an example of the flow of a habituation level determination process and an intervention control data generation process performed by the habituation determination unit 12 when the current habituation level is 1. [Figure 5]10 is a flowchart showing an example of the flow of the habit formation level determination process and the intervention control data generation process by the habit formation determination unit 12 when the current habit formation level is 2. [Figure 6] 10 is a flowchart showing an example of the flow of a display process of habit formation status data executed by the management terminal 30 according to the present embodiment. [Figure 7] FIG. 2 is a block diagram showing an example of a hardware configuration of the information processing device according to the present embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0022] Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. In this specification and drawings, components having substantially the same functional configurations are designated by the same reference numerals, and redundant explanations will be omitted.

[0023] <1. Configuration example> Fig. 1 is a block diagram showing an example of the configuration of a system 1 according to this embodiment. As shown in Fig. 1, the system 1 according to this embodiment includes a server 10, a user terminal 20, and a management terminal 30. The server 10 and the user terminal 20, as well as the server 10 and the management terminal 30, are connected via a network and can communicate with each other.

[0024] (1) User terminal 20 The user terminal 20 is a terminal device used by a user. The user terminal 20 may be carried by the user. The user terminal 20 may be, for example, a smartphone or a smart watch.

[0025] The user is a person who aims to make a specific behavior a habit. The specific behavior is a behavior for improving health. In the following, as an example, the specific behavior is assumed to be walking up stairs.

[0026] The user terminal 20 acquires behavioral data of the user and transmits it to the server 10. The behavioral data is information indicating the user's behavior. The user terminal 20 transmits sensor data acquired by various sensors possessed by the user terminal 20 to the server 10 as the user's behavioral data, together with the acquisition date and time.

[0027] As an example, the user terminal 20 may have a function for acquiring user location information, such as a GNSS (Global Navigation Satellite System) positioning function or a function for receiving beacons transmitted from beacon transmitters installed in the environment. The beacon transmitters may be installed on each floor of a building, for example, and the received beacon information may be used to determine which floor the user is on and to detect movement to other floors. As another example, the user terminal 20 may have sensors for acquiring inertial information, such as an acceleration sensor and an angular velocity sensor. As another example, the user terminal 20 may have various sensors, such as an atmospheric pressure sensor and a biometric information sensor.

[0028] Furthermore, the user terminal 20 outputs the message received from the server 10. For example, the user terminal 20 may have a display device such as a display and visually display the message. Alternatively, the user terminal 20 may output the message audibly or tactilely.

[0029] Although one user terminal 20 is shown in FIG. 1, the system 1 may include a plurality of user terminals 20.

[0030] (2) Server 10 The server 10 is an information processing device that controls the overall operation of the system 1. In particular, the server 10 measures the degree to which a user has habituated a specific behavior and controls a process of intervening in the user to motivate the user to perform the specific behavior in a manner that corresponds to the measured degree of habituation. As shown in FIG. 1, the server 10 includes a behavior detection unit 11, a habituation determination unit 12, and an intervention unit 13.

[0031] (Behavior detection unit 11) The behavior detection unit 11 has a function of detecting various pieces of information related to stair walking based on the behavior data of the user. In particular, the behavior detection unit 11 processes the behavior data acquired by the user terminal 20 in real time to detect various pieces of information related to stair walking.

[0032] In more detail, first, the behavior detection unit 11 processes the user's behavior data into time-series data consisting of a combination of date and time, location, and behavior type. Examples of behavior types include walking, walking up and down stairs (i.e., going up and down stairs), and standing still. As one example, the behavior detection unit 11 detects whether the user is walking or standing still based on time-series changes in location information and acceleration. As another example, the behavior detection unit 11 detects whether the user is walking up stairs based on time-series changes in beacon reception information, atmospheric pressure, and acceleration. Then, the behavior detection unit 11 generates, as processed behavior data, time-series data that combines the behavior type, the date and time at which the behavior type was detected, and the location indicated by the location information at that date and time.

[0033] Next, the behavior detection unit 11 calculates the duration of the currently detected behavior type based on the processed behavior data. For example, the behavior detection unit 11 calculates the duration of walking, walking up stairs, or standing still.

[0034] The behavior detection unit 11 then detects opportunities suitable for stair walking based on the processed behavior data. An opportunity suitable for stair walking may be considered an opportunity for which stair walking is recommended or an opportunity for which stair walking is possible. The behavior detection unit 11 detects an opportunity suitable for stair walking when the processed behavior data matches the detection conditions for an opportunity suitable for stair walking. The detection conditions may include, for example, walking or standing still near a station, walking near an elevator hall in an office, or standing still in an office for 60 minutes or more. An opportunity suitable for a specific behavior is also referred to as a behavioral opportunity hereinafter.

[0035] Furthermore, the behavior detection unit 11 detects that stair walking has been performed based on the processed behavior data. The behavior detection unit 11 detects that stair walking has been performed when the processed behavior data matches a detection condition for stair walking. The detection condition may include, for example, that stair walking has continued for one minute or more. Performing a specific behavior is also referred to as behavior performance below.

[0036] The behavior detection unit 11 outputs behavior opportunity / implementation data, which is time-series data that combines the detection results of behavior opportunities, the detection results of behavior implementation, and the dates and times at which these were detected, to the habituation determination unit 12 and the intervention unit 13.

[0037] An example of behavioral opportunity / implementation data will be described below with reference to Table 1.

[0038] [Table 1]

[0039] As shown in Table 1, the behavioral opportunity / execution data may include information indicating a location where a behavioral opportunity or an action execution was detected. That is, the behavioral opportunity / execution data may include information indicating a location where behavioral data in which a behavioral opportunity or an action execution was detected was acquired.

[0040] As shown in Table 1, the behavior opportunity / execution data may include information indicating the immediately preceding behavior when a behavior opportunity or behavior execution is detected. The immediately preceding behavior is the behavior that the user was performing immediately before the timing when the behavior opportunity or behavior execution was detected. In other words, the behavior opportunity / execution data may include information indicating the user's behavior that met the detection conditions for the behavior opportunity or behavior execution.

[0041] In Table 1, the behavioral opportunity detection result "1" indicates that an opportunity suitable for stair walking has been detected. The behavioral opportunity detection result "X" indicates that stair walking has already been performed. Since stair walking is performed at an opportunity suitable for stair walking, the behavioral opportunity detection result "X" can be interpreted as indicating that an opportunity suitable for stair walking has been detected.

[0042] A detection result of "1" for the behavior execution indicates that stair walking has been detected. A detection result of "0" for the behavior execution indicates that stair walking has not been detected.

[0043] When a behavioral opportunity is detected, the behavior detection unit 11 outputs a combination of the behavioral opportunity detection result "1" and the behavior execution detection result "0." For example, as shown in Table 1, the behavior detection unit 11 detects an opportunity suitable for stair walking based on the fact that the user has walked for 10 minutes or more near Tachikawa Station, and outputs a combination of the behavioral opportunity detection result "1" and the behavior execution detection result "0."

[0044] When the behavior detection unit 11 detects the behavior execution, it outputs a combination of the behavior opportunity detection result "X" and the behavior execution detection result "1." For example, as shown in Table 1, the behavior detection unit 11 detects the execution of stair walking based on the fact that the user walked up the stairs for one minute near Warabi Station, and outputs a combination of the behavior opportunity detection result "X" and the behavior execution detection result "1."

[0045] (Habit Formation Judgment Section 12) The habituation determination unit 12 determines the user's habituation level for stair walking based on the detection result by the behavior detection unit 11. A low habituation level indicates that stair walking is not habitual, whereas a high habituation level indicates that stair walking is habitual.

[0046] Then, the habituation determination unit 12 controls the degree of intervention by the intervention unit 13 according to the determined habituation level. With this configuration, the user can receive intervention appropriate for the habituation level and progress in habituating stair walking.

[0047] Specifically, the habituation determination unit 12 controls the intervention unit 13 so that the degree of intervention by the intervention unit 13 increases as the habituation level decreases. With this configuration, the user can receive strong intervention from the intervention unit 13 and progress in habituating stair walking. Furthermore, the habituation determination unit 12 controls the intervention unit 13 so that the degree of intervention by the intervention unit 13 decreases as the habituation level increases. With this configuration, excessive intervention can be suppressed for users with advanced habituation.

[0048] The habituation determination unit 12 may control whether or not the intervention unit 13 performs a first intervention of providing a cue for stair walking and a second intervention of providing a reward for having performed stair walking, depending on the habituation level. The first intervention of providing a cue can be realized by transmitting a message to the user terminal 20 urging the user to perform stair walking when an opportunity for stair walking is detected. The second intervention of providing a reward can be realized by transmitting a message to the user terminal 20 praising the user for having performed stair walking when performance of stair walking is detected. This configuration makes it possible to support the user in making stair walking a habit.

[0049] The habituation determination unit 12 outputs intervention control data according to the habituation level to the intervention unit 13. As a result, the process of intervention by the intervention unit 13 with the user is controlled according to the habituation level. The intervention control data can be classified into a "cue" for providing a cue, a "cue elimination" for omitting (i.e., not implementing) providing the cue, a "reward" for providing a reward, and a "reward elimination" for omitting providing a reward. As an example, the habituation determination unit 12 uses the detection of a behavior opportunity for stair walking as a trigger to output "cue" when providing a cue or "cue elimination" when omitting providing the cue to the intervention unit 13 as intervention control data. As another example, the habituation determination unit 12 uses the detection of the behavior opportunity for stair walking as a trigger to output "reward" when providing a reward or "reward elimination" when omitting providing a reward to the intervention unit 13 as intervention control data.

[0050] In the following, we will assume that there are four habit formation levels, from level 0 to level 3.

[0051] Habituation level 0 indicates a state in which the user is unlikely to have made stair walking a habit and is in a state in which a cue and a reward are required to perform stair walking. Therefore, when the habituation level is 0, the habituation determination unit 12 controls the intervention unit 13 to perform both the cue and the reward.

[0052] Habituation level 1 indicates a state in which the user may have made stair walking a habit and may continue stair walking even if either the provision of a cue or the provision of a reward is omitted. Therefore, when the habituation level is 1, the habituation determination unit 12 controls the intervention unit 13 to provide either the provision of a cue or the provision of a reward and omit the other.

[0053] Habituation level 2 indicates a state in which the user may have made stair walking a habit and may continue to do so even if the provision of a cue and a reward is omitted. Habituation level 3 indicates a state in which the user has completed the habit of stair walking and will continue to do so even if the provision of a cue and a reward is omitted. Therefore, when the habituation level is 2 or higher, the habituation determination unit 12 controls the intervention unit 13 to omit both the provision of a cue and the provision of a reward.

[0054] Excessive provision of cues or rewards can hinder the implementation of spontaneous behavior. In this regard, with this configuration, the level of intervention by providing cues or rewards can be reduced as the habituation level increases, so that spontaneous behavior is not hindered. In other words, it is possible to appropriately support the habituation of stair walking.

[0055] Here, the habituation determination unit 12 determines the user's habituation level further based on the degree of intervention by the intervention unit 13 at the time the behavioral data was acquired. In detail, even if the frequency of stair walking is the same, the habituation determination unit 12 determines the habituation level to be low if the degree of intervention is high, and determines the habituation level to be high if the degree of intervention is low. With this configuration, it is possible to distinguish whether stair walking was performed because of strong intervention or whether stair walking was performed despite weak intervention, and to appropriately measure the habituation level.

[0056] In detail, the habituation determination unit 12 determines that the habituation level has increased if the detection result by the behavior detection unit 11 for a most recent predetermined period during which the degree of intervention by the intervention unit 13 is the same satisfies a predetermined condition. For example, the habituation determination unit 12 determines that the habituation level has increased to 1 if the habituation level is 0 and behavioral opportunity / execution data for the most recent two weeks in which both a cue and a reward have been given satisfies a predetermined condition. Next, the habituation determination unit 12 determines that the habituation level has increased to 2 if the habituation level is 1 and behavioral opportunity / execution data for the most recent two weeks in which either a cue or a reward has been given but the other has been omitted satisfies a predetermined condition. This configuration makes it possible to appropriately determine the habituation level in stages.

[0057] The predetermined condition may include a condition that a ratio of stair walking to opportunities suitable for stair walking is equal to or greater than a predetermined threshold. For example, the habituation determination unit 12 may determine that the habituation level has increased when a ratio of behavior execution to behavior opportunities in the last two weeks is 50% or greater.

[0058] The predetermined condition may include that the rate at which stair walking was performed relative to opportunities suitable for stair walking is approximately the same as that before the habituation level increased and the degree of intervention by the intervention unit 13 decreased. For example, the habituation determination unit 12 may determine that the habituation level has further increased when the rate at which the behavior was performed relative to opportunities for the behavior in the most recent two weeks is approximately the same as that before the habituation level increased and the degree of intervention by the intervention unit 13 decreased. The equivalent may refer to, for example, 80% or more and less than 120%.

[0059] The habituation determination unit 12 outputs habituation status data indicating the habituation status of the specific behavior of the user to the management terminal 30. An example of the habituation status data is shown in Table 2 below.

[0060] [Table 2]

[0061] The subject ID in Table 2 is identification information that uniquely identifies a user. As shown in Table 2, the habit formation status data may include information indicating, for each user, the habit formation level, the number of days the system 1 has been used, the date on which habit formation level 1 was reached, the date on which habit formation level 2 was reached, and the date on which habit formation level 3 was reached.

[0062] The habit level 1 arrival date can also be considered as information indicating the amount of time that has elapsed since reaching habit level 1. The same applies to the habit level 2 arrival date and the habit level 3 arrival date.

[0063] (Intervention part 13) The intervention unit 13 intervenes in the user to motivate the user to perform stair walking according to the user's habituation level. For example, the intervention unit 13 controls the process of transmitting a message to the user terminal 20 to motivate the user to perform stair walking, in accordance with the control of the habituation determination unit 12.

[0064] As an example, when the intervention control data "trigger" is output from the habit formation determination unit 12, the intervention unit 13 transmits a message encouraging the user to walk up stairs to the user terminal 20. On the other hand, when the intervention control data "trigger removed" is output from the habit formation determination unit 12, the intervention unit 13 omits sending the message.

[0065] As another example, when the intervention control data "reward" is output from the habit formation determination unit 12, the intervention unit 13 transmits a message praising the user for performing stair walking to the user terminal 20. On the other hand, when the intervention control data "reward deletion" is output from the habit formation determination unit 12, the intervention unit 13 omits sending of the message.

[0066] The intervention unit 13 may control the content of the message based on the behavior opportunity / execution data output from the behavior detection unit 11. Specifically, the intervention unit 13 may control the content of the message based on at least one of the number of behavior opportunities or the number of behavior executions in the most recent predetermined period. As an example, the intervention unit 13 may send a message such as "You can use the stairs about five times a day, so try to use them half the time" as a message for providing a trigger. As another example, the intervention unit 13 may send a message such as "Your staircase usage rate has exceeded 70%" as a message for providing a reward.

[0067] (3) Management terminal 30 The management terminal 30 is a terminal device used by an administrator of the system 1. The management terminal 30 may be a PC (Personal Computer). The administrator may be a person related to the user, such as a person who belongs to the company where the user works or a person who belongs to the local government where the user lives.

[0068] The management terminal 30 outputs information output from the server 10 based on an operation from the administrator. For example, the management terminal 30 displays the habituation status data output from the server 10. With this configuration, the administrator can easily grasp the status of each user's stair walking habituation.

[0069] <2. Operation processing> (1) Overall processing 2 is a flowchart showing an example of the flow of processing executed by the server 10 and the user terminal 20 according to this embodiment. The processing according to this flow is started, for example, when the user starts using the user terminal 20.

[0070] 2, first, the user terminal 20 acquires behavioral data (step S102), and then transmits the acquired behavioral data to the server 10.

[0071] Next, the behavior detection unit 11 detects behavioral opportunities and behavioral performance based on the behavioral data received from the user terminal 20, and generates behavioral opportunity / performance data (step S104).The behavior detection unit 11 then outputs the generated behavioral opportunity / performance data to the habituation determination unit 12 and the intervention unit 13.

[0072] Next, the habituation determination unit 12 determines the habituation level and generates intervention control data according to the habituation level (step S106). Then, the habituation determination unit 12 outputs the generated intervention control data to the intervention unit 13. The processing content of this step differs depending on the current habituation level. The processing content of this step will be described in detail later.

[0073] The intervention unit 13 controls the message sending process to the user terminal 20 based on the behavior opportunity / implementation data input from the behavior detection unit 11 and the intervention control data input from the habituation determination unit 12 (step S108).

[0074] Thereafter, the server 10 determines whether to end the process (step S110). For example, the server 10 determines to end the process when the user has performed an operation to end use of the user terminal 20, and determines to continue the process when the user has not performed an operation to end use of the user terminal 20.

[0075] If it is determined that the processing should be continued (step S110: NO), the processing returns to step S102 again. On the other hand, if it is determined that the processing should be ended (step S110: YES), the server 10 ends the processing.

[0076] (2) Habit level determination process and intervention control data generation process Of the processes described above with reference to FIG. 2, the contents of the habituation level determination process and the intervention control data generation process in step S106 differ depending on the current habituation level.

[0077] (If your current habit level is 0) The process of determining the habituation level and the process of generating the intervention control data when the current habituation level is 0 will be described in detail below with reference to Table 3 and Fig. 3. Table 3 shows an example of behavioral opportunity / implementation data, intervention control data, and habituation level around the time when the habituation level is updated from 0 to 1.

[0078] [Table 3]

[0079] FIG. 3 is a flowchart showing an example of the flow of the habituation level determination process and the intervention control data generation process by the habituation determination unit 12 when the current habituation level is 0.

[0080] As shown in FIG. 3, the habituation determination unit 12 determines whether the detection result of the behavior opportunity is "1" and the detection result of the behavior performance is "0" (step S202).

[0081] If it is determined that the behavior opportunity detection result is "1" and the behavior execution detection result is "0" (step S202: YES), the habituation determination unit 12 controls the intervention unit 13 to provide a cue (step S204). That is, as shown in Table 3, the habituation determination unit 12 generates intervention control data "cue" and outputs it to the intervention unit 13. Thereafter, the process proceeds to step S210.

[0082] On the other hand, if it is determined that the detection result of the behavioral opportunity is not "1" or the detection result of the behavioral execution is not "0" (step S202: NO), the habituation determination unit 12 determines whether the detection result of the behavioral opportunity is "X" and the detection result of the behavioral execution is "1" (step S206).

[0083] If it is determined that the behavior opportunity detection result is "X" and the behavior performance detection result is "1" (step S206: YES), the habituation determination unit 12 controls the intervention unit 13 to provide a reward (step S208). That is, as shown in Table 3, the habituation determination unit 12 generates intervention control data "reward" and outputs it to the intervention unit 13. Thereafter, the process proceeds to step S210.

[0084] If it is determined that the behavior opportunity detection result is not "X" or the behavior execution detection result is not "1" (step S206: NO), the process proceeds to step S210.

[0085] In step S210, the habit formation determination unit 12 determines whether the ratio of behavior executions to behavior opportunities in the most recent two weeks is 50% or more (step S210). For example, the habit formation determination unit 12 determines whether the ratio of the number of behavior execution detection results of "1" to the number of behavior opportunity detection results of "1" or "X" is 50% or more.

[0086] If it is determined that the ratio of behavioral execution to behavioral opportunities in the last two weeks is less than 50% (step S210: NO), the habituation determination unit 12 terminates the process without updating the habituation level, which is currently 0, as shown in Table 3.

[0087] On the other hand, if it is determined that the ratio of behavioral performance to behavioral opportunities in the most recent two weeks is 50% or more (step S210: YES), the habit formation determination unit 12 updates the habit formation level to 1 (step S212), as shown in Table 3. Thereafter, the habit formation determination unit 12 ends the process.

[0088] (If your current habit level is 1) The process of determining the habit level and the process of generating the intervention control data when the current habit level is 1 will be described in detail below with reference to Table 4 and Fig. 4. Table 4 shows an example of behavioral opportunity / implementation data, intervention control data, and habit level around the time when the habit level is updated from 1 to 2.

[0089] [Table 4]

[0090] FIG. 4 is a flowchart showing an example of the flow of the habituation level determination process and the intervention control data generation process by the habituation determination unit 12 when the current habituation level is 1.

[0091] As shown in FIG. 4, the habituation determination unit 12 determines whether the detection result of the behavior opportunity is "1" and the detection result of the behavior performance is "0" (step S302).

[0092] If it is determined that the behavior opportunity detection result is "1" and the behavior performance detection result is "0" (step S302: YES), the habituation determination unit 12 controls the intervention unit 13 to provide a cue (step S304). That is, as shown in Table 4, the habituation determination unit 12 generates intervention control data "cue" and outputs it to the intervention unit 13. Thereafter, the process proceeds to step S310.

[0093] On the other hand, if it is determined that the detection result of the behavioral opportunity is not "1" or the detection result of the behavioral execution is not "0" (step S302: NO), the habituation determination unit 12 determines whether the detection result of the behavioral opportunity is "X" and the detection result of the behavioral execution is "1" (step S306).

[0094] If it is determined that the behavior opportunity detection result is "X" and the behavior execution detection result is "1" (step S306: YES), the habituation determination unit 12 controls the intervention unit 13 not to provide a reward (step S308). That is, as shown in Table 4, the habituation determination unit 12 generates intervention control data "reward deletion" and outputs it to the intervention unit 13. Thereafter, the process proceeds to step S310.

[0095] If it is determined that the behavior opportunity detection result is not "X" or the behavior execution detection result is not "1" (step S306: NO), the process proceeds to step S310.

[0096] In step S310, the habit formation determination section 12 determines whether or not two weeks or more have passed since the habit formation level was updated to 1 (step S310).

[0097] If it is determined that two weeks or more have not passed since the habit formation level was updated to 1 (step S310: NO), the habit formation determination unit 12 ends the process without updating the habit formation level, which is currently 1.

[0098] On the other hand, if it is determined that two weeks or more have passed since the habituation level was updated to 1 (step S310: YES), the habituation determination unit 12 determines whether or not the ratio of behavior performances to behavior opportunities in the most recent two weeks is similar to that before the habituation level was updated (step S312). For example, the habituation determination unit 12 determines whether or not the ratio of the number of behavior performance detection results of "1" to the number of behavior opportunity detection results of "1" or "X" is similar to that before the habituation level was updated.

[0099] If it is determined that the ratio of behavioral execution to behavioral opportunities in the last two weeks is not the same as that before the habituation level was updated (step S312: NO), the habituation determination unit 12 terminates the process without updating the habituation level, leaving it at the current value of 1, as shown in Table 4.

[0100] On the other hand, if it is determined that the ratio of behavioral performances to behavioral opportunities in the most recent two weeks is similar to that before the habituation level was updated (step S312: YES), the habituation determination unit 12 updates the habituation level to 2 as shown in Table 4 (step S314). Thereafter, the habituation determination unit 12 ends the process.

[0101] (If your current habit level is 2) The process of determining the habit level and the process of generating the intervention control data when the current habit level is 2 will be described in detail below with reference to Table 5 and Fig. 5. Table 5 shows an example of behavioral opportunity / implementation data, intervention control data, and habit level around the time when the habit level is updated from 2 to 3.

[0102] [Table 5]

[0103] FIG. 5 is a flowchart showing an example of the flow of the habituation level determination process and the intervention control data generation process by the habituation determination unit 12 when the current habituation level is 2.

[0104] As shown in FIG. 5, the habituation determination unit 12 determines whether the detection result of the behavior opportunity is "1" and the detection result of the behavior performance is "0" (step S402).

[0105] If it is determined that the behavioral opportunity detection result is "1" and the behavior execution detection result is "0" (step S402: YES), the habituation determination unit 12 controls the intervention unit 13 not to provide a cue (step S404). That is, as shown in Table 5, the habituation determination unit 12 generates intervention control data "cue deletion" and outputs it to the intervention unit 13. Thereafter, the process proceeds to step S410.

[0106] On the other hand, if it is determined that the detection result of the behavioral opportunity is not "1" or the detection result of the behavioral execution is not "0" (step S402: NO), the habituation determination unit 12 determines whether the detection result of the behavioral opportunity is "X" and the detection result of the behavioral execution is "1" (step S406).

[0107] If it is determined that the behavior opportunity detection result is "X" and the behavior execution detection result is "1" (step S406: YES), the habituation determination unit 12 controls the intervention unit 13 not to provide a reward (step S408). That is, as shown in Table 5, the habituation determination unit 12 generates intervention control data "reward deletion" and outputs it to the intervention unit 13. Thereafter, the process proceeds to step S410.

[0108] If it is determined that the behavior opportunity detection result is not "X" or the behavior execution detection result is not "1" (step S406: NO), the process proceeds to step S410.

[0109] In step S410, the habit formation determination section 12 determines whether or not two weeks or more have passed since the habit formation level was updated to 2 (step S410).

[0110] If it is determined that two weeks or more have not passed since the habit formation level was updated to 2 (step S410: NO), the habit formation determination unit 12 leaves the current habit formation level at 2 without updating it, and ends the process.

[0111] On the other hand, if it is determined that two weeks or more have passed since the habituation level was updated to 2 (step S410: YES), the habituation determination unit 12 determines whether or not the ratio of behavior performances to behavior opportunities in the most recent two weeks is similar to that before the habituation level was updated (step S412). For example, the habituation determination unit 12 determines whether or not the ratio of the number of behavior performance detection results of "1" to the number of behavior opportunity detection results of "1" or "X" is similar to that before the habituation level was updated.

[0112] If it is determined that the ratio of behavioral execution to behavioral opportunities in the last two weeks is not the same as that before the habituation level was updated (step S412: NO), the habituation determination unit 12 terminates the process without updating the habituation level, leaving it at the current level of 2, as shown in Table 5.

[0113] On the other hand, if it is determined that the ratio of behavioral performances to behavioral opportunities in the most recent two weeks is similar to that before the habituation level was updated (step S412: YES), the habituation determination unit 12 updates the habituation level to 3 as shown in Table 5 (step S414). Thereafter, the habituation determination unit 12 ends the process.

[0114] (If your current habit level is 3) If the current habituation level is 3, the habituation determination unit 12 may similarly execute the processes related to steps S402 to S408 in the flow shown in Fig. 5. On the other hand, the habituation determination unit 12 may omit the processes related to updating the habituation level (for example, the processes related to steps S410 to S414).

[0115] (supplement) According to the processing example described above, when the frequency of the user's stair walking has increased to a certain extent, the habituation level is updated to 1 and the provision of rewards to the user is stopped. Then, if the frequency of the user's stair walking does not change significantly even after the provision of rewards to the user is stopped, the habituation level is updated to 2 and the provision of cues to the user is stopped. Furthermore, if the frequency of the user's stair walking does not change significantly even after the provision of cues to the user is stopped, the habituation level is updated to 3.

[0116] Generally, a state in which a user has made a behavior a habit refers to a state in which the behavior has become familiar and the user performs the behavior spontaneously without intervention such as rewards. In this regard, as explained above, the process of determining that the behavior has become a habit when the frequency of stair walking does not change significantly even after intervention has stopped is considered appropriate.

[0117] On the other hand, when the user has not yet made a behavior a habit, the frequency of the behavior may decrease significantly or temporarily increase when the intervention such as the reward is stopped. In this regard, as explained above, the process of determining that the behavior has not become a habit when the frequency of stair walking changes significantly when the intervention is stopped can be said to be appropriate.

[0118] (3) Display processing of habit formation status data FIG. 6 is a flowchart showing an example of the flow of the habit formation status data display process executed by the management terminal 30 according to this embodiment.

[0119] 6, first, the management terminal 30 transmits a request to view the habit formation status data to the server 10 (step S502). Upon receiving the request to view the habit formation status data, the habit formation determination unit 12 returns the habit formation status data.

[0120] Next, the management terminal 30 displays the habit formation status data (step S504). For example, the management terminal 30 displays Table 2.

[0121] Thereafter, the management terminal 30 determines whether to end the process (step S506). For example, the management terminal 30 determines to end the process when the administrator performs an operation to end the viewing of the habit formation status data, and determines to continue the process otherwise.

[0122] If it is determined that the processing should be continued (step S506: NO), the processing returns to step S502 again. On the other hand, if it is determined that the processing should be ended (step S506: YES), the management terminal 30 ends the processing.

[0123] <3. Hardware configuration example> Next, the hardware configuration of an information processing device according to this embodiment will be described with reference to Fig. 7. Fig. 7 is a block diagram showing an example of the hardware configuration of an information processing device according to this embodiment. Note that the information processing device 900 shown in Fig. 7 may realize, for example, the server 10, the user terminal 20, or the management terminal 30 shown in Fig. 1. Information processing by the server 10, the user terminal 20, or the management terminal 30 according to this embodiment is realized by cooperation between software and hardware described below.

[0124] As shown in FIG. 7, 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.

[0125] The CPU 901 functions as an arithmetic processing unit and control unit, 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 used by the CPU 901, calculation parameters, etc. The RAM 903 temporarily stores programs used in the execution of the CPU 901, and parameters that change as appropriate during the execution. These are connected to each other by a host bus 904 that is composed of a CPU bus, etc. The CPU 901 may form, for example, the behavior detection unit 11, the habit formation determination unit 12, and the intervention unit 13 shown in FIG. 1 . The CPU 901 may also control the overall operation of the user terminal 20 or the management terminal 30.

[0126] 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 on a single bus.

[0127] The input device 908 is composed of input means for the user to input information, such as a mouse, keyboard, touch panel, buttons, microphone, switches, and levers, 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 and instruct processing operations to the information processing device 900 by operating this input device 908. The input device 908 can, for example, accept input from a user at the user terminal 20, or accept input from an administrator at the management terminal 30.

[0128] 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, a lamp, etc., and an audio output device such as a speaker, etc. The output device 909 can, for example, output a message to the user on the user terminal 20, or output habit formation status data on the management terminal 30.

[0129] 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 on the storage medium, a reading device for reading data from the storage medium, and a deleting device for deleting data recorded on 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. The storage device 910 may accumulate behavioral data and behavioral opportunity / execution data in the server 10, for example.

[0130] The communication device 911 is, for example, a communication interface configured with a communication device for connecting to a network, etc. The communication device 911 may be compatible with either wireless communication or wired communication.

[0131] The above describes an example of a hardware configuration capable of realizing the functions of the information processing device 900 according to this embodiment. Each of the above components may be realized using general-purpose components, or may be realized by hardware specialized for the function of each component. Therefore, the hardware configuration used can be changed as appropriate depending on the technical level at the time of implementing this embodiment.

[0132] <4. Summary> The technical features of the system 1 according to one embodiment of the present invention have been described in detail above. As described above, the server 10 according to this embodiment determines the habituation level based on the behavioral data and the level of intervention at the time the behavioral data was acquired, while controlling the level of intervention according to the habituation level. Specifically, when the habituation level increases and reward provision is stopped, the server 10 determines that the habituation level has further increased if the ratio of behavioral execution to behavioral opportunities before and after the reward provision is stopped does not change significantly. Furthermore, when the habituation level increases and trigger provision is stopped, the server 10 determines that the habituation level has further increased if the ratio of behavioral execution to behavioral opportunities before and after the trigger provision is stopped does not change significantly.

[0133] The server 10 according to the present embodiment can determine that a state in which the frequency of behavioral performance is maintained high without intervention such as providing a reward or a cue is a habitual state, thereby enabling the user's habituation status to be properly understood.

[0134] Furthermore, the server 10 according to this embodiment can provide cues or rewards only to users who have not yet developed a habit. Excessive provision of cues or rewards can hinder habit formation. In this regard, this configuration can promote habit formation by suppressing provision of cues or rewards as the habit formation level increases. It is also possible to reduce the cost of intervention for habit formation.

[0135] Furthermore, the server 10 according to this embodiment can also provide the habit formation status data to the user or an administrator who is related to the user.

[0136] The technology disclosed in Patent Document 1 has difficulty measuring the degree to which a user has made a health-promoting behavior a habit. Therefore, incentives are continually provided to encourage the user to continue performing the health-promoting behavior. Therefore, if the provision of incentives is stopped even though the behavior has not become a habit, there is a high possibility that the behavior itself will stop being performed. Furthermore, since it is difficult to measure the user's degree of habit formation, it is difficult to appropriately evaluate the return on investment of the incentive. In this regard, the above-described embodiment can solve these problems of the technology disclosed in Patent Document 1.

[0137] <5. Supplementary Information> Although the preferred embodiments of the present invention have been described in detail above with reference to the accompanying drawings, the present invention is not limited to these examples. It is clear that a person skilled in the art to which the present invention pertains can conceive of various modifications and alterations within the scope of the technical ideas set forth in the claims, and it is understood that these also naturally fall within the technical scope of the present invention.

[0138] The habituation determination unit 12 may determine the habituation level for each time period in which behavioral data is acquired. As one example, the habituation determination unit 12 may determine the morning habituation level based on behavioral data acquired in the morning, and determine the afternoon habituation level based on behavioral data acquired in the afternoon. As another example, the habituation determination unit 12 may determine the weekday habituation level based on behavioral data acquired on weekdays, and determine the holiday habituation level based on behavioral data acquired on holidays. The habituation determination unit 12 may then control the degree of intervention by the intervention unit 13 according to the habituation level for the current time period. With this configuration, it becomes possible to appropriately determine the habituation level for each time period and appropriately support the habituation of a user whose frequency of stair walking varies depending on the time period.

[0139] The habituation determination unit 12 may determine the habituation level for each location where behavioral data is acquired. As an example, the habituation determination unit 12 may determine the habituation level near the office based on behavioral data acquired near the office, and may determine the habituation level near the home based on behavioral data acquired near the home. Then, the habituation determination unit 12 may control the degree of intervention by the intervention unit 13 according to the habituation level of the user's current location. With this configuration, it becomes possible to appropriately determine the habituation level for each location and appropriately support the habituation of a user whose frequency of stair walking varies depending on the location.

[0140] The habituation determination unit 12 may control the frequency with which the intervention unit 13 intervenes depending on the habituation level. As one example, when the habituation level is low, the habituation determination unit 12 may control the intervention unit 13 to send a message providing a trigger every time a behavioral opportunity is detected. As another example, when the habituation level is high, the habituation determination unit 12 may control the intervention unit 13 to send a message providing a trigger once every 10 behavioral opportunities are detected. With this configuration, it is possible to appropriately support the user's habituation of stair walking depending on the habituation level of the user.

[0141] The habituation determination unit 12 may control the intervention unit 13 to send to the user terminal 20 a message whose content corresponds to the habituation level. As one example, when the habituation level is low, the habituation determination unit 12 may control the intervention unit 13 to send a message clearly stating that the user should walk up stairs. As another example, when the habituation level is high, the habituation determination unit 12 may control the intervention unit 13 to send a message suggesting that the user should walk up stairs, such as suggesting that the user is not getting enough exercise. With this configuration, it is possible to appropriately support the user in making stair walking a habit depending on the user's habituation level.

[0142] Although the above describes an example in which the habituation determination unit 12 determines that the habituation level has increased, the present invention is not limited to such an example. The habituation determination unit 12 may also determine that the habituation level has decreased. For example, the habituation determination unit 12 may determine that the habituation level has decreased when the frequency of performing the behavior in the most recent predetermined period has become less than 50%.

[0143] In the above, an example has been described in which the behavior opportunity / execution data is time-series data including a combination of a behavior opportunity detection result for stair walking, a behavior execution detection result for stair walking, and the date and time at which these were detected, but the present invention is not limited to such an example. The behavior opportunity / execution data may include a combination of a behavior opportunity detection result for multiple behavior types (e.g., stair walking, walking, and resting), a behavior execution detection result for stair walking, and the date and time at which these were detected. With this configuration, the server 10 can support habituation of multiple behavior types.

[0144] Although the above describes an example in which the habituation level is determined based on the ratio of the number of detected behavioral performances to the number of detected behavioral opportunities, the present invention is not limited to such an example. As one example, the habituation determination unit 12 may determine the habituation level based on the number of detected behavioral performances. As another example, the habituation determination unit 12 may determine the habituation level based on the ratio of days on which behavioral performances were detected to days on which behavioral opportunities were detected.

[0145] In the above example, as the habit level increases, the provision of a reward is stopped first, and then the provision of a cue is stopped. However, the present invention is not limited to this example. As the habit level increases, the provision of a cue may be stopped first, and then the provision of a reward may be stopped. Alternatively, the provision of a cue and the provision of a reward may be stopped simultaneously.

[0146] Although the example in which the habituation level is determined in four stages from 0 to 3 has been described above, the present invention is not limited to such an example. The habituation level may be determined in three stages or less or five stages or more.

[0147] Although the above describes an example in which the specific behavior is walking up stairs, the present invention is not limited to such an example. The specific behavior may be other behaviors that promote the user's health, such as walking, sleeping, eating, or exercise. Furthermore, the specific behavior is not limited to behaviors that promote the user's health. The specific behavior may be any behavior, such as environmentally friendly behaviors, such as frequently turning off electronic devices. The type of sensor that acquires the user's behavioral data and the onboard device may be appropriately selected depending on the type of specific behavior.

[0148] Although the above describes an example in which the user terminal 20 acquires user behavior data and transmits it to the server 10, the present invention is not limited to such an example. As one example, a sensor attached to the user, such as a wearable sensor, may acquire user behavior data and transmit it to the server 10. As another example, a sensor installed in the environment, such as a surveillance camera, may acquire user behavior data and transmit it to the server 10. As another example, an office-roaming robot may acquire user behavior data and transmit it to the server 10.

[0149] Although the above describes an example in which the user terminal 20 outputs a message from the server 10, the present invention is not limited to such an example. As one example, an output device worn by a user, such as smart glasses or earphones, may output a message from the server 10. As another example, an output device installed in the environment, such as a smart speaker or digital signage, may output a message from the server 10. As another example, an office-roaming robot may output a message from the server 10.

[0150] Although the above description has been given of an example in which the management terminal 30 is a PC, the present invention is not limited to this example. The management terminal 30 may be a smartphone, a tablet terminal, or the like.

[0151] At least a part of the processing described in this specification as being executed by a specific device may be executed by any other device. For example, all or a part of the behavior detection unit 11, the habit formation determination unit 12, or the intervention unit 13 may be installed in the user terminal 20.

[0152] The series of processes performed by each device described herein may be implemented using software, hardware, or a combination of software and hardware. The software programs may be stored in advance, for example, on a recording medium (more specifically, a non-transitory computer-readable storage medium) internal or external to each device. Each program is loaded into a random access memory (RAM) and executed by a processing circuit such as a central processing unit (CPU). The recording medium may be, for example, a magnetic disk, an optical disk, a magneto-optical disk, or a flash memory. The computer program may be distributed, for example, via a network without using a recording medium. The computer may be an application-specific integrated circuit (ASIC), a general-purpose processor that executes functions by loading a software program, or a computer on a server used in cloud computing. The series of processes performed by each device described herein may be centrally processed by a single computer or distributed across multiple computers. Furthermore, in each of the above embodiments, two or more communication means present in one device may be physically implemented on a single medium.

[0153] Furthermore, the processes described herein using flowcharts or sequence diagrams do not necessarily have to be performed in the order shown. Some process steps may be performed in parallel. Furthermore, additional process steps may be employed, and some process steps may be omitted. [Explanation of symbols]

[0154] 1 System 10 Servers 11 Behavior detection unit 12 Habit Formation Judgment Department 13 Intervention Department 20 User terminal 30 Management terminal

Claims

1. a behavior detection unit that detects an opportunity suitable for a specific behavior and that the specific behavior has been performed based on the behavior data of the user; a habituation determination unit that determines a habituation level of the user regarding the specific behavior based on a detection result by the behavior detection unit; an intervention unit that intervenes with the user to motivate the user to perform the specific behavior; Equipped with the habituation determination unit controls a degree of intervention by the intervention unit in accordance with the habituation level, and determines the habituation level further based on a degree of intervention by the intervention unit at a timing when the behavioral data is acquired. Information processing device.

2. the habituation determination unit controls the intervention unit so that the lower the habituation level is, the higher the degree of intervention by the intervention unit is, and the higher the habituation level is, the lower the degree of intervention by the intervention unit is. The information processing device according to claim 1 .

3. the habituation determination unit determines that the habituation level has increased when a detection result by the behavior detection unit in a most recent predetermined period during which the degree of intervention by the intervention unit is the same satisfies a predetermined condition. The information processing device according to claim 1 .

4. the predetermined condition includes a ratio of the specific behavior to opportunities suitable for the specific behavior being performed equal to or greater than a predetermined threshold. The information processing device according to claim 3 .

5. the predetermined condition includes that a rate at which the specific behavior is performed with respect to opportunities suitable for the specific behavior is approximately the same as that before the habituation level increases and the degree of intervention by the intervention unit decreases. The information processing device according to claim 3 .

6. the habituation determination unit controls, according to the habituation level, whether or not the intervention unit will implement a first intervention that provides a cue for performing the specific behavior and a second intervention that provides a reward for performing the specific behavior. The information processing device according to claim 1 .

7. the habituation determination unit controls the intervention unit to implement both the first intervention and the second intervention when the habituation level is 0, to implement either the first intervention or the second intervention when the habituation level is 1, and to omit both the first intervention and the second intervention when the habituation level is 2 or higher. The information processing device according to claim 6 .

8. the habituation determination unit determines the habituation level for each time period in which the behavioral data is acquired. The information processing device according to claim 1 .

9. the habituation determination unit determines the habituation level for each location where the behavioral data is acquired. The information processing device according to claim 1 .

10. the habituation determination unit controls the frequency of intervention by the intervention unit in accordance with the habituation level. The information processing device according to claim 1 .

11. the habituation determination unit controls the intervention unit to transmit a message having content corresponding to the habituation level to a terminal device carried by the user. The information processing device according to claim 1 .

12. The behavioral data is acquired by a terminal device carried by the user. The information processing device according to claim 1 .

13. 1. A computer-implemented information processing method, comprising: Detecting an opportunity suitable for a specific behavior and the performance of the specific behavior based on the user's behavior data; determining a habituation level of the user regarding the specific behavior based on a detection result of an opportunity suitable for the specific behavior and the specific behavior being performed; intervening with the user to motivate the performance of the specific behavior; controlling the degree of user intervention in response to the habituation level; determining the habituation level further based on the degree of intervention at the time when the behavioral data was acquired; An information processing method including:

14. a behavior detection unit that detects an opportunity suitable for a specific behavior and that the specific behavior has been performed based on the behavior data of the user; a habituation determination unit that determines a habituation level of the user regarding the specific behavior based on a detection result by the behavior detection unit; an intervention unit that intervenes with the user to motivate the user to perform the specific behavior; Equipped with the intervention unit controls a process of sending a message motivating the performance of the specific behavior; the habituation determination unit controls a degree of intervention by the intervention unit in accordance with the habituation level, and determines the habituation level further based on a degree of intervention by the intervention unit at a timing when the behavioral data is acquired. an information processing device; a terminal device that acquires the behavioral data, transmits the behavioral data to the information processing device, and outputs the message received from the information processing device; A system comprising:

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