BEHAVIOR CHANGE SUPPORT METHOD, BEHAVIOR CHANGE SUPPORT DEVICE, AND PROGRAM

Abstract

The present invention improves the efficiency of assisting in changing actions by a computer executing: a detection procedure for recording, when usage of resources that can be used for assisting a user in changing actions is detected on the basis of sensing data, information on the resources into a storage unit; an estimation procedure for estimating spatial or temporal approach of the user to the resources indicated by the information stored in the storage unit on the basis of sensing data; and an output procedure for outputting a message corresponding to the resources for which the approach is estimated in the estimation procedure.

Description

[Technical field]

[0001] The present invention relates to a behavior change support method, a behavior change support device, and a program. [Background technology]

[0002] Services are available that provide advice via smartphones and smartwatches to encourage health behavior.

[0003] For example, there are services that detect when a state of high stress has continued and encourage users to take deep breaths (Non-Patent Document 1, Non-Patent Document 2), and services that encourage users to stand up and move around if they have been sitting for a long time (Non-Patent Document 3).

[0004] However, if the timing of the advice notification is inappropriate for the context of the user's behavior, such as receiving the advice "You have been sitting for a long time. Stand up and stretch" during a meeting, the user will not take the action based on the advice (recommended action).

[0005] In view of this, a system has been proposed that presents information that matches the context of the user's actions by sensing the user's environment (Patent Document 1).

[0006] By notifying users of recommended actions in accordance with the context of their actions, the rate at which the recommended actions are implemented may increase, leading to the recommended actions becoming habitual and resulting in behavioral change. [Prior art documents] [Patent documents]

[0007] [Patent Document 1] JP 2019-185389 A [Non-patent literature]

[0008] [Non-Patent Document 1] MLTsports, "Health Management with GARMIN vol.1", [online], Internet<URL:https: / / mlt.jpn.com / garmin-healthcare-vol-1 / > [Non-Patent Document 2] GARMIN, [online], Internet<URL:https: / / www.garmin.co.jp / products / wearables / vivomove-hr-rose-gold-white / > [Non-Patent Document 3] "Completing the Ring", [online], Internet<URL:https: / / www.apple.com / jp / watch / close-your-rings / > Summary of the Invention [Problem to be solved by the invention]

[0009] However, even if the notification timing is appropriate, if the notification content is not practicable in the user's living environment or lifestyle, the user cannot be expected to put it into practice.

[0010] For example, even if a user is notified of a recommended exercise behavior such as "Use the stairs during your lunch break" during their workday, if there are no available stairs in or around their office, it will be difficult for them to act in accordance with the advice.

[0011] Also, even if a user is notified of a recommended dietary behavior such as "Avoid fried foods for lunch today" at the beginning of their lunch break, if the user brings their own lunch or buys lunch at a store on their way to work, the meal content has already been decided and it is difficult for them to change it.

[0012] In order to increase the rate at which recommended behaviors are implemented, it is necessary for the system to understand in advance the resources (lifestyle information) that can be used to support behavioral change, such as the user's living environment and lifestyle habits, but having the user answer this in the form of a questionnaire is inefficient.

[0013] The present invention has been made in consideration of the above points, and has an object to improve the efficiency of behavioral change support. [Means for solving the problem]

[0014] In order to solve the above problem, the present invention includes a detection step of detecting, based on sensing data, the use of a resource that can be utilized to support a user's behavioral change, and recording information about the resource in a storage unit; an estimation step of estimating, based on the sensing data, a spatial or temporal approach of the user to the resource indicated by the information recorded in the storage unit; and a method of detecting the approach of the resource to the resource whose approach has been estimated by the estimation step. Indicates that the use of and an output step for outputting a message. Effect of the Invention

[0015] The efficiency of behavior change support can be improved. [Brief description of the drawings]

[0016] [Figure 1] FIG. 11 is a diagram showing an example of behavior of acceleration sensor values ​​when an elevator ascends and descends. [Diagram 2] FIG. 11 is a diagram showing an example of behavior of the value of the air pressure sensor when an escalator is descending. [Diagram 3] FIG. 2 is a diagram illustrating an example of a hardware configuration of a user terminal 10 according to the first embodiment. [Figure 4] FIG. 2 is a diagram illustrating an example of a functional configuration of a user terminal 10 according to the first embodiment. [Diagram 5] 11 is a flowchart illustrating an example of a process performed by the user terminal 10 in a lifestyle information registration phase. [Figure 6] 2 is a diagram illustrating an example of a configuration of a life information storage unit 16 according to the first embodiment. FIG. [Figure 7]10 is a flowchart illustrating an example of a processing procedure executed by the user terminal 10 in a recommended action suggestion phase. [Figure 8] 2 is a diagram showing an example of a configuration of a message list storage unit 17 in the first embodiment. FIG. [Figure 9] FIG. 11 is a diagram illustrating an example of a configuration of a life information storage unit 16 according to the second embodiment. [Figure 10] FIG. 11 is a diagram illustrating an example of a configuration of a message list storage unit 17 in the second embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0017] In each of the following embodiments, an example is described in which sensing is used to obtain lifestyle information, such as the user's living environment and lifestyle habits, that can be used to support behavioral change (behavioral change support), and recommended behaviors are presented based on the lifestyle information.

[0018] Hereinafter, an embodiment of the present invention will be described with reference to the drawings.

[0019] [First embodiment] The first embodiment is an embodiment related to presenting a message for increasing the amount of activity of a user.

[0020] Compared to flat ground, activity on stairs or slopes increases activity levels. Stairs and slopes can be considered as resources that can be used to increase activity levels.

[0021] In addition, an increase in the number of steps increases the amount of activity. The location of mobility vehicles can be considered as a resource that can be utilized to increase the number of steps. Parking or parking bicycles far away from building entrances in parking lots or bicycle parking areas is a way to increase the number of steps without significantly changing daily life behavior.

[0022] Hereinafter, resources that can be utilized to support behavioral change, such as the use of stairs, slopes, mobility, etc., i.e., to increase activity levels, are referred to as "behavior change support resources."

[0023] <Utilizing stairs and slopes> The system detects the use of elevators and escalators on public transport or in offices using pressure sensors, acceleration sensors, and GPS location information built into users' smartphones and other devices.

[0024] As corresponding advice, when the user approaches a location where elevator or escalator use has been detected in the past, or during the user's lunch break while in the office, a message is displayed that increases the opportunities to use stairs, such as "If there are stairs nearby, why not try using them today?"

[0025] Office stays can be estimated based on daytime residence time and GPS data.

[0026] In addition, the air pressure sensor built into smartphones and other devices can be used to detect the presence of slopes on routes that are frequently used, such as commuting routes.

[0027] As corresponding advice, when GPS data etc. detects that you are about to approach a slope, a message will be displayed to increase your activity level, such as, "Why not try walking briskly up a slope today?"

[0028] Similarly, the presence of stairs in a house can be detected using an air pressure sensor built into a smartphone or other device.

[0029] As corresponding advice, messages are displayed that increase the opportunities to go up and down stairs, such as, "If you have to carry laundry to the second floor, carry it in two trips."

[0030] Staying at home can be estimated based on the amount of time spent overnight and GPS data, etc.

[0031] The use of elevators, escalators, stairs, and slopes is detected, for example, by the following means.

[0032] When an elevator goes up or down, the values ​​of the acceleration sensor installed in a smartphone or other device will behave as shown in Figure 1, so by recognizing these patterns, elevator use can be detected.

[0033] In addition, when going down an escalator, the values ​​of the air pressure sensor installed in a smartphone or other device will behave as shown in Figure 2, and the acceleration sensor will take a constant value; therefore, by recognizing these patterns, it is possible to detect the use of an escalator.

[0034] When going down a slope, the barometric pressure sensor value will behave in the same way as in Figure 2, but the acceleration sensor value changes with the walking period, and based on this pattern, walking up a slope is detected.

[0035] When descending stairs, the air pressure sensor values ​​behave in the same way as in Figure 2. However, when using stairs, due to the depth of the stairs, the acceleration sensor values ​​change at a different cycle from the normal walking cycle, and GPS data is used to detect walking on stairs.

[0036] <Utilizing mobility stop locations> The use of cars and motorcycles can be detected by obtaining location and travel speed information from GPS data.

[0037] As corresponding advice, when starting to drive a car or motorcycle, a message encouraging the driver to take more steps is displayed, such as, "Why don't you try parking in a parking lot today, farther away from the building?"

[0038] In a similar manner, bicycle use is detected.

[0039] As corresponding advice, when a person starts using a bicycle, a message is displayed encouraging the person to take more steps, such as, "Why don't you try parking your bicycle farther away from the building in the bicycle parking lot today?"

[0040] <Hardware configuration> Fig. 3 is a diagram showing an example of a hardware configuration of the user terminal 10 in the first embodiment. In Fig. 3, the user terminal 10 includes a CPU 101, a memory 102, an auxiliary storage device 103, a touch panel 104, a wireless communication device 105, a GPS receiver 106, an atmospheric pressure sensor 107, and an acceleration sensor 108.

[0041] The auxiliary storage device 103 stores programs and the like installed in the user terminal 10. When an instruction to start a program is received, the memory 102 reads out the program from the auxiliary storage device 103 and stores it. The CPU 101 realizes functions related to the user terminal 10 in accordance with the program stored in the memory 102.

[0042] The touch panel 104 is an electronic component having both an input function and a display function, and displays information, receives input from a user, etc. The touch panel 104 includes a display device 111, an input device 112, and the like.

[0043] The display device 111 is a liquid crystal display or the like, and performs the display function of the touch panel 104. The input device 112 is an electronic component including a sensor that detects contact of an object with the display device 111.

[0044] The wireless communication device 105 is an electronic component such as an antenna required for communication in a wireless LAN (Local Area Network) or a mobile communication network, etc. The GPS receiver 106 receives radio waves from a GPS (Global Positioning System) satellite.

[0045] The air pressure sensor 107 measures (calculates) the air pressure relative to the user terminal 10.

[0046] The acceleration sensor 108 measures the acceleration of the user terminal 10 to obtain information such as the tilt and vibration of the user terminal 10 .

[0047] Examples of the user terminal 10 include a smartphone, a tablet terminal, a wearable device, and the like.

[0048] <Functional configuration> Fig. 4 is a diagram showing an example of a functional configuration of the user terminal 10 in the first embodiment. As shown in Fig. 4, the user terminal 10 has a sensing unit 11, a behavior change support resource detection unit 12, a user situation estimation unit 13, a message generation unit 14, and an output unit 15. Each of these units is realized by a process executed by the CPU 101 of one or more programs installed in the user terminal 10. The user terminal 10 also uses a life information storage unit 16 and a message list storage unit 17. Each of these storage units can be realized by using, for example, an auxiliary storage device 103, or a storage device connectable to the user terminal 10 via a network.

[0049] The sensing unit 11 acquires data sensed by the GPS receiver 106, the atmospheric pressure sensor 107, or the acceleration sensor 108 (hereinafter referred to as "sensing data").

[0050] The behavior change support resource detection unit 12 detects the use of behavior change support resources such as stairs, slopes, and means of transportation based on the sensing data. The behavior change support resource detection unit 12 records the type of the detected behavior change support resource, the start point and end point of the use of the behavior change support resource, etc. in the life information storage unit 16.

[0051] The user situation estimation unit 13 estimates the user's situation, such as spatial or temporal access to a behavior change support resource, based on the sensing data.

[0052] The message generating unit 14 generates a message corresponding to the user's situation by referring to the message list storage unit 17. The message list storage unit 17 stores messages corresponding to the living environment and living habits.

[0053] The output unit 15 presents (outputs) the message generated by the message generating unit .

[0054] <Processing Procedure> The process steps executed by the user terminal 10 will be described below, being divided into a lifestyle information registration phase and a recommended behavior suggestion phase.

[0055] FIG. 5 is a flowchart illustrating an example of a process performed by the user terminal 10 in the lifestyle information registration phase.

[0056] The sensing unit 11 acquires sensing data at regular time intervals, for example (S101).

[0057] Next, the behavior change support resource detection unit 12 attempts to detect the user's use of behavior change support resources, such as elevator use, escalator use, stair use, going up a slope, car / motorcycle use, bicycle use, etc., based on the history of the sensing data (S102). The method of detecting the use of behavior change support resources is as described above.

[0058] When the behavior change support resource detection unit 12 detects the use of any behavior change support resource (Yes in S102), it records the type of behavior change support resource detected and the location information of the start point and end point of the use or passage of the behavior change support resource in the lifestyle information storage unit 16.

[0059] Fig. 6 is a diagram showing an example of the configuration of the life information storage unit 16 in the first embodiment. As shown in Fig. 6, each time the behavior change support resource detection unit 12 detects the use of a behavior change support resource, the life information storage unit 16 records the type of the behavior change support resource, and start position information and end position information related to the behavior change support resource. The start position information is position information of the start point of the use (including passing through) of the behavior change support resource. The end position information is position information of the end point of the use of the behavior change support resource. These position information can be acquired from the GPS receiver 106.

[0060] In the example of FIG. 6, a distinction is made between use of stairs in the office and use of stairs at home. The location information of the office and home is assumed to be registered in advance based on input by the user or estimation from the dwell time and GPS data. When the behavior change support resource detection unit 12 detects the use of stairs, elevator, or escalator, it determines whether the current location is included in the home or office based on the GPS data at that time. If the current location is the home or office, the behavior change support resource detection unit 12 registers the location information of the office or home in the start location information of the life information storage unit 16. In FIG. 6, (lat_office, lon_office) indicates the location information of the office, and (lat_home, lon_home) indicates the location information of the home.

[0061] FIG. 7 is a flowchart illustrating an example of a processing procedure executed by the user terminal 10 in the recommended action suggestion phase.

[0062] The sensing unit 11 acquires sensing data at regular time intervals, for example (S201). In the recommended behavior suggestion phase, GPS data (location information) may be acquired.

[0063] Every time the sensing unit 11 acquires sensing data (or every time the sensing data changes), the user situation estimation unit 13 estimates a radius D th In other words, the user situation estimation unit 13 calculates the distance between all start position information registered in the life information storage unit 16 and the position information indicated by the sensing data, and determines whether the user has approached the behavior change support resource by determining whether the location information indicated by the sensing data is included inside any of the circles D th By determining whether or not a behavior change support resource is present, it is estimated whether or not the user has approached the behavior change support resource.

[0064] However, for behavior change support resources in the office or at home ("Stairs Use (Office)" and "Stairs Use (Home)" in FIG. 6), there is a possibility that the user's approach to the behavior change support resource may be constantly estimated while the user is staying at the office or home. Therefore, for behavior change support resources whose starting location information is the office or home, the user status estimation unit 13 estimates that the distance between the behavior change support resource and the user's current location is D th In addition to the above, if the current time is a certain time t, it is estimated that the user has approached the behavior change support resource.

[0065] When the user's state estimation unit 13 estimates that the user is approaching any of the behavior change support resources (Yes in S202), the message generation unit 14 generates a message that indicates the approach of the behavior change support resource (i.e., the distance from the current position to the th A message corresponding to the type of behavior modification support resource (described below) is obtained from the message list storage unit 17, and a message to be presented to the user is generated (S203).

[0066] Fig. 8 is a diagram showing an example of the configuration of message list storage unit 17 in the first embodiment. As shown in Fig. 8, messages are stored in message list storage unit 17 in association with the types of behavior change support resources. Note that, although the example in Fig. 8 shows an example in which a completed message is registered, for example, a message template into which a user's name or the like can be substituted may be stored in message list storage unit 17. In this case, message generation unit 14 may generate a message using the template.

[0067] Next, the output unit 15 outputs the message generated (obtained) by the message generating unit 14 to, for example, the display device 111 (S204). Alternatively, the output unit 15 may output the message as audio.

[0068] In addition, proximity to behavior change support resources may be estimated using sensors installed on mobility devices such as automobiles and locks, rather than location information provided by GPS.

[0069] Also, the radius D th Since the circles overlap or are close to each other, it is possible that multiple messages may be output at once or messages may be output frequently. However, possible solutions include prioritizing messages or setting the frequency with which messages are displayed.

[0070] In addition, even if the use of an elevator or escalator is detected, there may be cases where there are no stairs nearby, or there are stairs nearby but they are emergency stairs that cannot be used normally, in which case the user may input "there are no stairs nearby" via a GUI (Graphical User Interface), or the user situation estimation unit 13 may exclude a behavior change support resource for which no use of stairs has been detected multiple times after a message was output from targets for estimation of the user's approach. This makes it possible to avoid the same message being output when the user approaches the behavior change support resource thereafter.

[0071] In addition, there may be cases where the content of the message needs to be changed depending on whether the center of the living space (living room, etc.) is on the first floor or the second floor, but this can be achieved by determining the central floor of the living space through sensing and adjusting the message accordingly.

[0072] As described above, according to the first embodiment, it is possible to automatically grasp lifestyle information that can be used in providing behavior change support without requiring the user to take the time to answer questions, questionnaires, etc. In addition, by grasping lifestyle information that can be used in providing behavior change support and then notifying the user of recommended behavior based on the information, it is possible to increase the rate at which the recommended behavior is put into practice. Therefore, it is possible to improve the efficiency of behavior change support.

[0073] [Second embodiment] Next, a second embodiment will be described. In the second embodiment, differences from the first embodiment will be described. Points not specifically mentioned in the second embodiment may be the same as those in the first embodiment.

[0074] The second embodiment is an embodiment relating to the presentation of a message for improving lunch eating habits.

[0075] In order to improve eating habits, it may be possible to provide advice on meal contents, but even if advice is provided after the meal contents have been decided, it is difficult to change the meal contents, and it is thought that the rate of implementation of recommended behaviors will decrease.

[0076] If advice is presented just before the meal contents are decided, the user can change the meal contents, so understanding the timing at which meal contents are decided can be considered a resource that can be used to improve eating habits.

[0077] The timing at which meal contents are determined varies depending on the type of lunch. Therefore, in the second embodiment, the type of lunch is understood as a behavioral change support resource. The following are examples of lunch types: Lunch type 1: Purchase lunch at a convenience store or kiosk and eat at your desk or in the break room. Lunch type 2: Bring a lunch box from home and eat it at your desk or in the break room. Lunch option 3: Eat in the company cafeteria. Lunch option 4: Go outside the office and eat out.

[0078] It is considered effective to present advice to improve meal contents before meal contents are decided and close enough to the time when meal contents are decided that the advice is not forgotten. Therefore, in the second embodiment, messages are presented at the following times according to lunch style.

[0079] In the case of lunch format 1, since it is desirable to provide advice before buying lunch at a convenience store, shop, etc., a push notification is sent and a message is presented as soon as it is determined from GPS data, etc. that the user has entered a convenience store, shop, etc.

[0080] In the case of Lunch Type 2, since there is a possibility that the person will be thinking about what to pack for lunch the next day while eating dinner the previous day, for example, a push notification will be sent and a message will be displayed when a sensor installed in a refrigerator or other device in the home detects an action such as preparing dinner.

[0081] In the case of Lunch Type 3 or Lunch Type 4, a beacon or other device installed on the door of an office room will send a notification and display a message when it detects that an employee has passed through the door from the room to outside within 30 minutes before or after the start of the lunch break.

[0082] The process steps executed by the user terminal 10 in the life information registration phase of the second embodiment will be described with reference to FIG.

[0083] The sensing unit 11 acquires sensing data, for example, at regular time intervals (S101). Here, position information such as GPS data or indoor positioning data may be acquired.

[0084] Next, the behavior change support resource detection unit 12 attempts to detect the use of a behavior change support resource (lunch style) based on the history of the sensing data (S102).

[0085] For example, if a user is detected to be staying at a convenience store, a kiosk, etc. during the commute to work or during a lunch break, and if the user is detected to be staying at his / her desk, in a break room, etc. during the lunch break, it is estimated that the user is eating what he / she bought at his / her desk, in a break room, etc. Therefore, in this case, the behavior change support resource detection unit 12 detects the use of lunch pattern 1.

[0086] Alternatively, if the sensing data history for the commute time or lunch break time period does not detect the user staying at a convenience store or a shop, and detects the user staying at his / her own desk or in a break room during the lunch break time period, it is presumed that the user is eating something he / she prepared at home. Therefore, in this case, the behavior change support resource detection unit 12 detects the use of lunch pattern 2.

[0087] Alternatively, if the history of sensing data during the lunch break indicates that the user is staying in the company cafeteria, it is estimated that the user is eating lunch in the company cafeteria. Therefore, in this case, the behavioral change support resource detection unit 12 detects the use of lunch pattern 3.

[0088] Alternatively, if the history of sensing data during the lunch break indicates that the user stayed at a restaurant outside the company, it is estimated that the user went out to eat at lunch. Therefore, in this case, the behavior change support resource detection unit 12 detects the use of lunch pattern 4.

[0089] It is assumed that the location information of convenience stores, kiosks, employee cafeterias, and outside restaurants is registered in advance. Therefore, the behavior change support resource detection unit 12 can detect the user's staying in these places by comparing the location information with the sensing data history.

[0090] When the behavior change support resource detection unit 12 detects the use of any one of lunch patterns 1 to 4 (Yes in S102), the behavior change support resource detection unit 12 records in the life information storage unit 16 the type of lunch pattern related to the detection, etc.

[0091] Fig. 9 is a diagram showing an example of the configuration of the life information storage unit 16 in the second embodiment. As shown in Fig. 9, the life information storage unit 16 in the second embodiment stores the type of lunch style and the like detected by the behavior change support resource detection unit 12.

[0092] Next, a process procedure executed by the user terminal 10 in the recommended behavior suggestion phase of the second embodiment will be described with reference to Fig. 7. In the recommended behavior suggestion phase of the second embodiment, the user terminal 10 senses the user's location information, in-home behavior, and the like, and presents a message at a timing that matches the type of behavior change support resource registered in the lifestyle information storage unit 16 (i.e., lunch style).

[0093] The sensing unit 11 acquires sensing data at regular time intervals (S201). Here, position information such as GPS data or indoor positioning data may be acquired.

[0094] Next, the user situation estimation unit 13 determines whether the user has approached a lunch pattern registered in the lifestyle information storage unit 16 based on the history of the sensing data or the like (S202).

[0095] Specifically, when lunch pattern 1 is registered in the lifestyle information storage unit 16, the user situation estimation unit 13 estimates the approach of lunch pattern 1 when it detects entry into a convenience store, shop, etc. from GPS data, etc.

[0096] Alternatively, if lunch pattern 2 is registered in the lifestyle information storage unit 16, the user situation estimation unit 13 senses the opening and closing of the refrigerator door by communicating with a refrigerator equipped with an acceleration sensor or the like in the home, and estimates the approach of lunch pattern 2 when it detects that the refrigerator has been opened or closed after 5:00 p.m.

[0097] Alternatively, if lunch pattern 3 or lunch pattern 4 is registered in the lifestyle information storage unit 16, the user status estimation unit 13 senses the user passing through the door based on a beacon or the like installed on the door of the office room, and estimates the approach of lunch pattern 3 or lunch pattern 4 when it detects that the user has passed through the door from the room to outside the room 30 minutes before or after the start time of the lunch break.

[0098] When the user status estimation unit 13 estimates that the user is approaching any of the lunch patterns (Yes in S202), the message generation unit 14 retrieves a message corresponding to the lunch pattern from the message list storage unit 17 and generates a message to be presented to the user (S203).

[0099] Fig. 10 is a diagram showing an example of the configuration of the message list storage unit 17 in the second embodiment. As shown in Fig. 10, the message list storage unit 17 stores messages in association with types of lunch styles.

[0100] Next, the output unit 15 outputs the message generated (obtained) by the message generating unit 14 by push notification (S204). For example, the output unit 15 may output the message to the display device 111, or may output the message as audio.

[0101] It is possible that multiple types of lunch styles may be registered in the lifestyle information storage unit 16 (such as a boxed lunch once a week and a company cafeteria the rest of the time), in which case advice may be presented by learning and predicting periodicity from the sensing results, or adjustments may be made by narrowing down the advice to the most frequently occurring lunch style.

[0102] As described above, according to the second embodiment, it is possible to obtain the same effects as those of the first embodiment.

[0103] Although the second embodiment is particularly concerned with improving the content of lunch meals, the behavior to be improved may be something other than eating, as long as the time when the behavior to be improved is decided is grasped through sensing, and advice to encourage improvement of the behavior is presented before the time when the behavior to be improved is decided, but close enough to the time when the advice is decided so that the advice is not forgotten.

[0104] In each of the above embodiments, the behavior change support resource detection unit 12, the user situation estimation unit 13 and the message generation unit 14 may be realized by one or more computers separate from the user terminal 10 and capable of communicating with the user terminal 10 (e.g., cloud computing).

[0105] In this embodiment, the user terminal 10 is an example of a behavior change support device. The behavior change support resource detection unit 12 is an example of a detection unit. The user situation estimation unit 13 is an example of an estimation unit. The life information storage unit 16 is an example of a storage unit.

[0106] Although the embodiment of the present invention has been described in detail above, the present invention is not limited to such specific embodiment, and various modifications and variations are possible within the scope of the gist of the present invention described in the claims. [Explanation of symbols]

[0107] 10 User terminal 11 Sensing section 12 Behavior Change Support Resource Detection Department 13 User status estimation unit 14 Message Generation Unit 15 Output section 16 Life information storage section 17 Message list storage section 101 CPU 102 Memory 103 Auxiliary storage device 104 Touch Panel 105 Wireless communication devices 106 GPS receiver 107 Barometric pressure sensor 108 Acceleration Sensor 111 Display device 112 Input Devices

Claims

1. a detection step of detecting, based on the sensing data, the use of a resource that can be utilized to support a user's behavioral change, and recording information about the resource in a storage unit; an estimation step of estimating, based on sensing data, a spatial or temporal approach of a user to the resource indicated by the information recorded in the storage unit; an output step of outputting a message indicating to refrain from using the resource whose approach has been estimated by the estimation step; A behavior change support method characterized by being executed by a computer.

2. The resource is a resource that reduces an activity amount of the user.

2. The behavior change support method according to claim 1.

3. a detection step of detecting a timing at which the user's lunch content is determined based on the sensing data and recording information corresponding to resources for acquiring lunch at the timing in a storage unit; an estimation step of estimating, based on sensing data, a spatial or temporal approach of a user to the resource indicated by the information recorded in the storage unit; an output step of outputting a message regarding a lunch menu when the approach is estimated by the estimation step; A behavior change support method characterized by being executed by a computer.

4. a detection unit that detects, based on the sensing data, the use of a resource that can be utilized to support a user's behavioral change and records information about the resource in a storage unit; an estimation unit that estimates, based on the sensing data, a spatial or temporal approach of a user to the resource indicated by the information recorded in the storage unit; an output unit that outputs a message indicating that use of the resource whose approach has been estimated by the estimation unit should be refrained from; A behavior change support device comprising:

5. The resource is a resource that reduces an activity amount of the user.

5. The behavior change support device according to claim 4.

6. a detection unit that detects a timing at which the user's lunch content is decided based on the sensing data and records information corresponding to resources for acquiring lunch at the timing in a storage unit; an estimation unit that estimates, based on the sensing data, a spatial or temporal approach of a user to the resource indicated by the information recorded in the storage unit; an output unit that outputs a message regarding a lunch menu when the approach is estimated by the estimation unit; A behavior change support device comprising:

7. A program for causing a computer to execute the behavior change support method according to any one of claims 1 to 3.

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