The present invention relates to a behavior change support method, a behavior change support device, and a program.
There is provided a service for notifying a user of advice for prompting the user to perform a behavior for health from a smart phone, a smart watch, or the like.
For example, there is a service that captures the timing of a strong stress state and encourages a user to take a deep breath (NPL 1 and NPL 2), and a service that encourages a user to stand up and move the user's body if the user has been sitting for a long time (NPL 3).
However, if the timing of notification of advice is inappropriate for the context of the user's behavior, such as receiving advice “You have been sitting for a long time. Let's get up and stretch” during a meeting, behaviors according to advice (recommended behaviors) are not put into practice.
In view of this, a system has been proposed which presents information matching the context of the behavior of the user by sensing the environment of the user (PTL 1).
The recommended behavior is notified in accordance with the context of the user's behavior, thereby increasing the rate of practice of the recommended behavior, which becomes a habit, and there is a possibility of causing behavior change.
However, even if the notification timing is appropriate, if the notification content is a content which cannot be practiced by the user's life environment or lifestyle, it cannot be expected to be put into practice.
For example, even if a user is notified of the recommended behavior for exercise during the lunch break of a working day, “Let's use the stairs during the lunch break,” it is difficult to put a behavior corresponding to the advice into practice if there are no stairs available in the office or the vicinity of the office of the user.
Also, even if the recommended dietary behavior “avoid fried foods for lunch today” is notified at the start of the lunch break, when the user brings a lunch box or purchases lunch at a store at the time of commuting, since the meal content has already been decided, it is difficult to change meal contents.
In order to increase the practice rate of recommended behaviors, it is necessary for the system to grasp beforehand resources (life information) which can be utilized for supporting the behavior change such as the life environment and the lifestyle of the user, but it is inefficient for answers to be given to these questions in the form of an inquiry.
The present invention has been made in view of the above-mentioned problems, and an object thereof is to improve the efficiency of behavior change support.
In order to solve the above problem, a computer executes a detection procedure of recording information on a resource in a storage unit when detecting use of the resource that can be utilized for supporting behavior change of a user based on sensing data, an estimation procedure of estimating a spatial or temporal approach of a user to the resource indicated by the information recorded in the storage unit based on the sensing data, and an output procedure of outputting a message corresponding to the resource whose approach is estimated by the estimation procedure.
The efficiency of the behavior change support can be improved.
In each of the following embodiments, an example will be described in which life information that can be utilized for supporting behavior change (behavior change support) such as a life environment and a lifestyle of a user is ascertained in advance by sensing, and a recommended behavior is presented based on the life information.
Embodiments of the present invention will be described below with reference to the drawings.
A first embodiment is an embodiment relating to presentation of a message to increase user activity amount.
Compared to flat places, activities on stairs and slopes increase the activity amount. Stairs and slopes are considered as resources which can be utilized to increase the activity amount.
In addition, when the number of steps is increased, the activity amount is increased. As a resource which can be utilized to increase the number of steps, a stop position of mobility is considered. Parking a vehicle or a bicycle at a place far from the entrance of a building in a parking lot is a method for increasing the number of steps without greatly changing the behavior of daily life.
Hereinafter, resources that can be utilized for behavior change support such as use of stairs, slopes, mobility aids, or the like, that is, increasing the activity amount, are referred to as “behavior change support resources.”
Use of an elevator and an escalator in public transportation or an office is detected from positional information of an atmospheric pressure sensor and an acceleration sensor built into a smart phone or the like of a user and GPS.
As corresponding advice, when a user approaches a point where the use of an elevator or an escalator was detected in the past or during the lunch break while the user is in the office, a message such as “If there are stairs nearby, why don't you use them today?” is presented to increase the opportunities for use of stairs.
A staying time in the office can be estimated from the staying time in the daytime, GPS data, or the like.
Also, an atmospheric pressure sensor built into a smart phone or the like detects that there is a slope on a road usually used such as a commuting route.
As corresponding advice, when it is detected immediately before going to a slope from GPS data or the like, a message for increasing the activity amount is presented in the form of “Would you like to walk briskly on a slope today?”
Similarly, the presence of stairs in the house is detected from an atmospheric pressure sensor built into a smartphone or the like.
As the corresponding advice, a message for increasing opportunities to go up and down stairs such as “If you have to carry laundry to the second floor, divide it into two and carry it in two parts” is presented.
The stay in the home can be estimated from the staying time at night and GPS data or the like.
The use of elevators, escalators, stairs, and slopes is detected by, for example, the following means.
Since the value of the acceleration sensor mounted on the smart phone or the like behaves as illustrated in
In addition, when the escalator is lowered, the value of the atmospheric pressure sensor mounted on the smart phone or the like behaves as illustrated in
Also when the user goes down a slope, the value of the atmospheric pressure sensor behaves as illustrated in
Even when going down stairs, the value of the atmospheric pressure sensor behaves in the same way as in
By obtaining positional information and moving speed information from the GPS data, the use of an automobile and a motorcycle is detected.
As corresponding advice, when starting driving of a vehicle or a motorcycle, a message that encourages an increase in the number of steps, such as “Would you like to park your vehicle or motorcycle in a parking lot farther away from the building today?” is presented.
Similarly, the use of the bicycle is detected.
As corresponding advice, when starting use of a bicycle or the like, a message that encourages an increase in the number of steps, such as “Would you like to park your bicycle far away from the building at the bicycle parking lot today?” is presented.
The auxiliary storage device 103 stores programs and the like installed in the user terminal 10. The memory 102 reads out and stores the program from the auxiliary storage device 103 in a case where an instruction to start the program is given. The CPU 101 implements a function of the user terminal 10 in accordance with the program stored in the memory 102.
The touch panel 104 is an electronic component having both an input function and a display function, and displays information, accepts input from a user, and the like. The touch panel 104 includes a display device 111, an input device 112, and the like.
The display device 111 is a liquid crystal display or the like, and serves as a display function of the touch panel 104. The input device 112 is an electronic component including a sensor for detecting contact of a contact object with the display device 111.
The wireless communication device 105 is an electronic component such as an antenna required for communication in a wireless local area network (LAN) or a mobile communication network. The GPS receiver 106 receives a radio wave from a global positioning system (GPS) satellite.
The atmospheric pressure sensor 107 measures (calculates) atmospheric pressure at the user terminal 10.
The acceleration sensor 108 measures information such as inclination and vibration of the user terminal 10 by measuring acceleration of the user terminal 10.
Examples of the user terminal 10 include a smartphone, a tablet type terminal, a wearable device, and the like.
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”).
The behavior change support resource detection unit 12 detects the use of behavior change support resources such as stairs, slopes and moving means based on the sensing data. The behavior change support resource detection unit 12 records the kind of the detected behavior change support resource, a start point and an end point of use of the behavior change support resource, etc. in the life information storage unit 16.
The user situation estimation unit 13 estimates a situation of a user such as spatial or temporal approach to the behavior change support resource based on the sensing data.
The message generation unit 14 refers to the message list storage unit 17 and generates a message corresponding to the user situation. The message list storage unit 17 stores a message corresponding to life environments and lifestyles.
The output unit 15 presents (outputs) the message generated by the message generation unit 14.
Hereinafter, the processing procedure executed by the user terminal 10 will be described separately into a life information registration phase and a recommended behavior presentation phase.
The sensing unit 11 acquires sensing data at every fixed time, for example (S101).
Next, based on the history of sensing data, the behavior change support resource detection unit 12 tries to detect the user's use of behavior change support resources such as elevator use, escalator use, stair use, slope use, automobile/motorcycle use, bicycle use, and the like (S102). The method of detecting the use of the behavior change support resource is as described above.
When detecting the use of any one of the behavior change support resources (Yes in S102), the behavior change support resource detection unit 12 records the type of the behavior change support resource related to the detection and the respective positional information of a start point and an end point such as the use or passage of the behavior change support resource in the life information storage unit 16.
In the example illustrated in
The sensing unit 11 acquires sensing data at every fixed time, for example (S201). In the recommended behavior presentation phase, GPS data (positional information) may be acquired.
Each time the sensing unit 11 acquires sensing data (or each time the sensing data changes), the user situation estimation unit 13 determines whether a point related to the positional information indicated by the sensing data is included inside any circle of a radius Dth centering on the point related to all the start positional information registered in the life information storage unit 16, thereby determining whether the user has approached the behavior change support resource
(S202). That is, the user situation estimation unit 13 calculates a distance between all start positional information registered in the life information storage unit 16 and positional information indicated by the sensing data, and determines the presence or absence of an behavior change support resource whose distance is equal to or less than Dth, thereby estimating whether the user has approached the behavior change support resource.
However, with respect to the behavior change support resources in the office or the home (“use of stairs (office)” or “use of stairs (home)” illustrated in
When the user situation estimation unit 13 estimates the approach to any behavior change support resource (Yes in S202), the message generation unit 14 acquires a message corresponding to the type of the behavior change support resource (that is, behavior change support resource whose distance to the current position is equal to or less than Dth) from the message list storage unit 17, and generates a message to be presented to the user (S203).
Subsequently, the output unit 15 outputs the message generated (acquired) by the message generation unit 14 to, for example, the display device 111 (S204). Alternatively, the output unit 15 may output the message in voice.
The approach to the behavior change support resource may be estimated by using a sensor mounted on a mobility and a key of an automobile or the like instead of positional information by the GPS.
Further, since circles having the radius Dth overlap each other or circles are close to each other, there is a possibility that a plurality of messages are output at a time or messages are frequently output. However, measures such as giving priority to messages and setting the frequency of message presentation are conceivable.
In addition, even if the use of an elevator or escalator is detected, there may be cases where there are no stairs nearby, or cases where there are stairs nearby but cannot normally be used due to emergency stairs. However, in that case, the user situation estimation unit 13 may be excluded from the user's approach estimation target for the behavior change support resource in which the use of the stairs is not detected multiple times after the message is output and it accepts inputs such as “there are no stairs nearby” from the user via a GUI (Graphical User Interface). Thus, when the user approaches the behavior change support resource thereafter, the same message can be prevented from being output.
Further, although it is considered that the contents of the message need to be changed between the case where the center of the living space (living room or the like) is the first floor and the case where the center is the second floor, the center floor of the living space may be determined by sensing and adjusted according to the result.
As described above, according to the first embodiment, it is possible to automatically grasp the life information that can be utilized in supporting the behavior change without requiring the user to answer questions, questionnaires, and the like. Further, the practice rate of the recommended behavior can be increased by grasping life information which can be utilized in supporting the behavior change and then notifying the recommended behavior based on the life information. Therefore, the efficiency of the behavior change support can be improved.
Next, a second embodiment will be described. In the second embodiment, differences from the first embodiment will be described. Points which are not mentioned particularly in the second embodiment may be similar to those of the first embodiment.
The second embodiment is an embodiment relating to presentation of a message to improve eating habits of lunch.
In order to improve eating habits, it is considered that advice is presented about the contents of meals, but it is difficult to change the contents of meals even if the advice is presented after the contents of meals have been determined, and it is considered that the practice rate of recommended behaviors is lowered.
When the advice is presented immediately before the meal content is determined, the user can change the meal content, so that it is considered that the timing of determining the meal content is grasped as a resource which can be utilized for improving the eating habit.
The timing at which the meal content is determined differs depending on the form of the lunch. Therefore, in the second embodiment, the form of the lunch is grasped as a behavior change support resource. The following examples are conceivable as the form of lunch.
It is considered that the advice for promoting the improvement of the meal content is effectively presented at a timing before the meal content is determined and at a timing close to a time point when the meal content is determined to such an extent that the advice is not forgotten. Therefore, in the second embodiment, the message is presented at the following timing according to the lunch form.
In the case of Lunch Form 1, it is desirable to notify the advice before purchasing the lunch in a convenience store or a store, and therefore, when it is grasped from GPS data or the like that the user has entered the convenience store or the store, push notification is performed and a message is presented.
In the case of Lunch Form 2, since there is a possibility that the content of the next day lunch is considered at the time of dinner the day before, for example, push notification is performed at the time of detecting a behavior such as preparation of the evening rice from a sensor installed in a refrigerator or the like in a house, and a message is presented.
In the case of Lunch Form 3 or Lunch Form 4, a beacon or the like installed on the door of the office room in an office detects that the person has passed through the door 30 minutes before or after the start of the lunch break.
Referring to
The sensing unit 11 acquires sensing data at every fixed time, for example (S101). In this case, positional information such as GPS data or data such as indoor position measurement may be acquired.
Then, the behavior change support resource detection unit 12 tries to detect the use of the behavior change support resource (lunch form) based on the history of the sensing data (S102).
For example, in the case where residence in a convenience store, a store or the like is detected in an attendance time period or a day rest time zone, and residence in a user's seat, a rest room or the like is detected in a day rest time zone, it is estimated that the user is eating the purchased food in the user's seat, the rest room or the like. Therefore, in this case, the behavior change support resource detection unit 12 detects the use of the lunch form 1.
Alternatively, in a history of sensing data in an attendance time zone or a time zone of a day rest, when residence in a convenience store or a store is not detected and residence in a user's seat or a rest room is detected in the time zone of the day rest, it is estimated that the user is eating the prepared one at home. Therefore, in this case, the behavior change support resource detection unit 12 detects the use of Lunch Form 2.
Alternatively, when the stay in the employee restaurant is detected in the history of sensing data in the time zone of the day rest, it is estimated that the user is eating the lunch in the staff cafeteria. Therefore, in this case, the behavior change support resource detection unit 12 detects the use of Lunch Form 3.
Alternatively, when the stay in a restaurant outside the company is detected in a history of sensing data in a time zone of a day rest, it is estimated that the user is going out of the company and eating out of the company in the day. Therefore, in this case, the behavior change support resource detection unit 12 detects the use of Lunch Form 4.
It is assumed that the positional information of the convenience store, the store, the staff cafeteria, and the restaurant outside the company is registered in advance. Therefore, the behavior change support resource detection unit 12 can detect the stay of the user at these places by collating the positional information with the history of the sensing data.
When the behavior change support resource detection unit 12 detects the use of any of Lunch Forms 1 to 4 (Yes in S102), the behavior change support resource detection unit 12 records the kind of the lunch form related to the detection in the life information storage unit 16.
Next, the processing procedure executed by the user terminal 10 in the recommended behavior presentation phase of the second embodiment will be described with reference to
The sensing unit 11 acquires sensing data at every fixed time, for example (S201). In this case, positional information such as GPS data or data such as indoor position measurement may be acquired.
Subsequently, the user situation estimation unit 13 determines whether the user approaches the lunch form registered in the life information storage unit 16 based on the history of the sensing data or the like (S202).
Specifically, in a case where Lunch Form 1 is registered in the life information storage unit 16, the user situation estimation unit 13 estimates the approach to Lunch Form 1 at the timing of detecting that the user enters a convenience store, a store or the like from GPS data or the like.
Alternatively, when Lunch Form 2 is registered in the life information storage unit 16, the user situation estimation unit 13 senses opening/closing of a door of the refrigerator by communication with the refrigerator in which an acceleration sensor or the like in a house is installed, the approach to Lunch Form 2 is estimated at the timing when it is detected that the refrigerator has been opened and closed after 17:00 in the evening.
Alternatively, when Lunch Form 3 or Lunch Form 4 is registered in the life information storage unit 16, the user situation estimation unit 13 senses passage of a user's door based on a beacon or the like installed in a door of a living room in an office, the approach to Lunch Form 3 or Lunch Form 4 is estimated at the timing when passing through the door from the living room to the outside was detected 30 minutes before and after the lunch break start time.
When the user situation estimation unit 13 estimates approach to any lunch form (Yes in S202), the message generation unit 14 acquires a message corresponding to the lunch form from the message list storage unit 17 and generates a message to be presented to the user (S203).
Then, the output unit 15 outputs the message generated (acquired) by the message generation unit 14 by push notification (S204). For example, the output unit 15 may output the message to the display device 111 or may output a voice.
Although a possibility that a plurality of types of lunch forms are registered in the life information storage unit 16 is considered (lunch once every week, and others are the staff cafeteria and the like), in that case, the system learns and predicts periodicity from the result of sensing to present advice, the adjustment may be performed by narrowing down advice to the form of the lunch with the highest frequency of appearance.
As described above, according to the second embodiment, effects similar to those of the first embodiment can be obtained.
The second embodiment is particularly concerned with improving the content of meals for lunch. In addition to this, sensing is used to grasp when the behavior to be improved is determined, and the behavior to be improved may be anything other than eating as long as the advice prompting the improvement of the behavior is presented at a timing before the point in time when the behavior targeted for improvement is decided and at a timing close to the point at which the behavior is determined so as not to forget the advice.
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 are one or more computers different from the user terminal 10, The present invention may be implemented by a computer (for example, cloud computing) capable of communicating with a user terminal 10.
In this embodiment, the user terminal 10 is an example of the 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.
Although the embodiments of the present invention have been described in detail above, the present invention is not limited to these particular embodiments, and various modifications and changes are possible within the scope of the gist of the present invention described in the claims.
Filing Document | Filing Date | Country | Kind |
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PCT/JP2021/018180 | 5/13/2021 | WO |