JP7531467B2 - Information processing device, information processing method, and program - Google Patents

Description

The present invention relates to an information processing device, an information processing method, and a program for encouraging behavioral change.

Systems for encouraging behavioral change have been developed for some time. For example, Patent Document 1, which is related to health information, proposes a health information processing device having a reception unit that receives information related to the user's daily living activities, and a selection unit that selects, based on the information related to the user's daily living activities received by the reception unit, recommended information that satisfies the conditions related to the user and the conditions related to the timing of presentation, as recommended information to be presented to the user.

JP 2017-040981 A

To encourage behavioral change, it may be possible to hire a professional consultant to propose economic value and recommended information to provide to users, but consulting fees are generally high, making it difficult to use such services without careful consideration.

The present invention provides an information processing device and the like that can effectively encourage behavioral change in multiple users at low cost.

The information processing device according to the present invention comprises:
a control unit that determines an economic value to be provided to the user by applying individual information or group information of the user to a first model, or determines recommended information to be provided to the user by applying individual information or group information of the user to a second model;
a providing unit that provides the economic value or the recommendation information determined by the control unit to a user;
A confirmation unit that confirms a behavioral change of a user due to economic value or recommended information;
The present invention may also include:

In the information processing device according to the present invention,
The control unit may perform control so as to change the total amount of economic value provided to a plurality of users in a predetermined period according to time.

In the information processing device according to the present invention,
The confirmation unit confirms the result of the behavioral change caused by the economic value provided to the user,
If the number of users or the percentage of users who have changed their behavior in the behavioral changes confirmed by the confirmation unit does not increase by more than a predetermined value, the control unit may control so as not to increase the total amount of economic value provided to users or the economic value provided to individual users.

In the information processing device according to the present invention,
The confirmation unit confirms the result of the behavioral change caused by the economic value provided to the user,
If the number of users or the percentage of users who have changed their behavior in the behavioral changes confirmed by the confirmation unit does not increase by more than a predetermined value, the control unit may provide recommended information or control the recommended information to be changed.

In the information processing device according to the present invention,
The confirmation unit may output recommendation information when the number or ratio of users who have changed their behavior in the behavior modification confirmed by the confirmation unit is equal to or greater than a predetermined value.

In the information processing device according to the present invention,
The control unit may select an appropriate first model or second model depending on the attributes of the user.

The information processing device according to the present invention comprises:
A providing unit that provides economic value or recommended information to a user;
A confirmation unit that confirms a behavioral change of a user due to an economic value or recommended information provided to the user;
a control unit that receives the result of the behavioral change of the user confirmed by the confirmation unit and determines the next economic value or recommended information to be provided to the user;
The present invention may also include:

The information processing method according to the present invention comprises:
A step of determining an economic value to be provided to the user by applying the individual information or group information of the user to a first model, or determining recommended information to be provided to the user by applying the individual information or group information of the user to a second model, by a control unit;
providing, by a providing unit, the economic value or the recommendation information determined by the control unit to a user;
A step of confirming, by a confirmation unit, a behavioral change of a user due to the economic value or the recommendation information;
The present invention may also include:

The program according to the present invention comprises:
A program installed on a computer,
The computer on which the program is installed
A control function that determines an economic value to be provided to the user by applying the individual information or group information of the user to a first model, or determines a recommendation to be provided to the user by applying the individual information or group information of the user to a second model;
A provision function for providing the economic value or recommendation information determined by the control function to a user;
A confirmation function for confirming changes in user behavior due to economic value or recommended information;
may be realized.

The present invention provides an information processing device and the like that can effectively encourage behavioral change in multiple users at low cost.

FIG. 1 is a block diagram for explaining an overview of an example of an information processing system according to an embodiment of the present invention. FIG. 2 is a diagram for explaining an example of a processing mode in the control unit used in the embodiment of the present invention. FIG. 3 is a diagram for explaining an example of a processing mode in the learning unit used in the embodiment of the present invention. FIG. 4 is a diagram showing an example of a change in the ratio between the economic value provided to the user and the nudge provided to the user in the embodiment of the present invention. FIG. 5 is a block diagram for explaining an overview of another example of an information processing system according to an embodiment of the present invention. FIG. 6 shows an example of a screen displayed on the display unit when selecting a model in the embodiment of the present invention.

Embodiment <Configuration>
Hereinafter, an embodiment of an information processing device according to the present invention will be described. In this embodiment, an information processing method using the information processing device, a program installed to generate the information processing device, and a storage medium such as a USB or DVD storing the program are also provided. In addition, a program installed in various terminals such as a personal computer, a smartphone, and a tablet is also provided. In this application, "or" is a concept including "and", and the term "A or B" means any of "A", "B", and "A and B".

As shown in FIG. 1, the information processing device 1 of this embodiment may have a control unit 50 that determines an economic value to be provided to a user by applying individual information or group information of a user to a first model, or determines recommended information to be provided to a user by applying individual information or group information of a user to a second model, a providing unit 10 that provides the user with the economic value or recommended information determined by the control unit 50, and a confirmation unit 20 that confirms a behavioral change of the user due to the economic value or recommended information. The confirmation unit 20 may collect information from a measurement unit 130 (described later) in a user terminal 100 such as a smartphone or tablet owned by the user, and then confirm a behavioral change of the user. The information processing device 1 may have a storage unit 60 consisting of a database or the like that stores various information. The storage unit 60 may not be provided and an external information storage unit 200 may be provided (see FIG. 5), or the external information storage unit 200 may be provided together with the storage unit 60. Note that the "recommended information" in this application is not limited to what is generally called "recommendation", but is a concept that also includes nudges, visualization, gamification, and the like. More specifically, the recommended information includes visualizing and presenting how much the user has performed a desirable behavior (e.g., how many steps they have taken while walking), giving the user a sense of accomplishment and making it easier for them to continue the behavior; utilizing gamification, if the user performs desirable behavior, they can receive stamps, level up in the app, defeat enemies, and collect special items, characters, videos, music, etc. (collectibles may be gifted to other users or traded as digital assets using Non-Fungible Tokens, etc.), making them want to perform desirable behavior for fun; informing the user that many people around them are performing desirable behavior, making it easier for them to naturally perform the same behavior through the conformity effect.

The individual information of a user may include an individual's age, sex, occupation, annual income, family structure, place of employment, address of the workplace, home address, etc. If the user is a corporation, the individual information of the user may include capital information such as capital, fixed assets, current assets, fixed liabilities, current liabilities, sales, operating profit, net profit, number of employees, location, etc. The group information of users may be the age, sex, occupation, annual income, etc. of the group, or the number of people or corporations in each item listed as individual information such as capital information, fixed assets, current assets, fixed liabilities, current liabilities, sales, operating profit, net profit, number of employees, etc., or the percentage of each item to the whole. The individual information of users may also include the type of consumer (such as an individual) and business operator (such as a corporation) as user attributes.

Typically, the information processing device 1 is capable of communicating with multiple user terminals 100. The user terminals 100 are terminals such as personal computers, smartphones, tablet terminals, wearable computers such as smart watches and smart glasses, and are typically mobile terminals such as smartphones and tablet terminals.

In this embodiment, the economic value is electronic currency information as an example. This electronic currency information is a concept including points, coins, and electronic money. Therefore, the electronic currency information in this embodiment means one or more of points, coins, and electronic money (typically all of these). Similarly, the electronic currency value in this embodiment means one or more of point value, coin value, and electronic money value (typically all of these). Points and electronic money disappear when used and do not circulate. On the other hand, virtual coins do not disappear even when used and circulate. The virtual coins in this embodiment are a type of so-called virtual currency. The management unit 30 may manage electronic money so that it cannot be converted into cash information. The management unit 30 may be configured by a management device consisting of a personal computer, a server, etc., may be realized as a function of a personal computer or a server, or may be realized by one or more units (control units).

The information processing device 1 may have a learning unit 70 that performs machine learning, and the control unit 50 may output information for each user using a first model or a second model that is learned and generated by the learning unit 70 (see FIG. 3).

The learning unit 70 may generate the first model and/or the second model by machine learning using the individual information of the multiple users or the group information based on the multiple users as the performance information, the economic value and/or the recommendation information provided to the multiple users, and the result of the behavior change in the multiple users due to the provided economic value and/or the recommendation information. The learning unit 70 may reconstruct the existing learning model by applying the actual number of behavior changes or the behavior change rate for the behavior change measure to the existing learning model showing the relationship between the behavior change measure and the behavior change rate (see FIG. 3). The learning unit 70 may be integrated with the control unit 50, or the control unit 50 may have the function of the learning unit 70. Alternatively, the learning unit 70 may not be provided, and the first model and the second model created in advance may be stored in the storage unit 60 (see FIG. 1) or the external information storage unit 200 (see FIG. 5). The first and second models created in advance may also be created by machine learning using performance information, such as individual information of a plurality of users or group information based on a plurality of users, economic value and/or recommendation information provided to the plurality of users, and the results of behavioral change in the plurality of users due to the provided economic value and/or recommendation information. The results of behavioral change may be the absolute number of users who have changed their behavior, or may be a percentage of the total number of users who have changed their behavior. The number of users who did not initially perform the encouraged behavior may be set as the initial value before the behavioral change, and the number of users who have started to perform the behavior may be counted, or the percentage of the number of users who have started to perform the behavior to the initial value may be calculated to grasp the results of behavioral change. In addition, if the user is a business operator such as a corporation, the "number of businesses" may be used instead of the "number of people".

The management unit 30 may manage electronic currency information for each user by linking it to user identification information. The management unit 30 may also perform the function of converting cash information into electronic currency information, or conversely, converting electronic currency information into cash information.

The information processing device 1 of this embodiment may be a system composed of multiple devices. Some or all of the elements constituting the information processing device 1 may be provided in a server. Typically, an information processing system is composed of an information processing device 1 consisting of a server or the like, and other devices such as multiple user terminals 100.

The user terminal 100 may have a communication unit 110 that transmits and receives data to and from the information processing device 1, an instruction unit 120 that issues instructions regarding behavior change measures, and a measurement unit 130 that measures activities by the user. The user terminal 100 may have an operation unit 170 that accepts operations from the user, and a display unit 160 that displays various information. In the case of a smartphone or tablet terminal, since the touch panel is used, the functions of both the operation unit and the display unit are performed on the display screen. Note that the information processing device 1 may also have a communication unit 90, and the communication unit 90 may perform communication between the information processing device 1 and external devices (see FIG. 5).

The control unit 50 may perform a function of determining the next behavior modification measure based on the confirmation result by the confirmation unit 20. For example, if the number of users or the ratio of users who have changed their behavior confirmed by the confirmation unit 20 does not indicate a desirable number or ratio of behavior modification, the amount of points provided to each user in the case of behavior modification may be increased or different recommended information may be provided. In this case, the next behavior modification measure may be determined by applying information including information on the number of users or the ratio of users who have changed their behavior confirmed by the confirmation unit 20 to the first model and the second model. Based on the behavior modification measure determined in this way, the provision unit 10 provides each user with economic value or recommended information. The communication between the information processing device 1 and the user terminal 100 may be performed by transmitting or receiving information, or may be performed by the user terminal 100 accessing the information processing device 1 consisting of a server or the like.

In this embodiment, the "behavior change measure" is a concept that includes providing economic value to a user, providing recommended information to a user, or providing both economic value and recommended information. The recommended information may include a nudge.

As a nudge, a message conveying the value of points and encouraging participation may be provided, or the number of participants and activity level may be made visible to give a sense of participation from everyone else, or a stamp rally or rank may be displayed to encourage a desire to complete the challenge or reach the top (electronic currency information may be provided as a bonus), or a nudge may be provided to make the user aware of slowing down. The control unit 50 may also provide control so that economic value is provided at the slowing down stage.

The nudges included in the recommendation information do not necessarily have to be text, but may be an arrangement of options, visualization of specified information, or the use of gamification.

The options may be arranged in such a way that the target icon is arranged in a position on the user terminal 100 that is easy for the user to see. For example, on the user interface of a mobile app or xR (e.g., VR (Virtual Reality) or AR (Augmented Reality)), the desired options (e.g., selection buttons) may be arranged in a place that is easy for the user to see, or may be made accessible with a simple operation.

As a mode for visualizing predetermined information, when one wants to continue a behavior that is prone to failure, such as exercising for weight loss, one may take advantage of the tendency to follow social norms by forming a team of weight loss buddies and presenting each person with a graph of the team's daily achievements (e.g., amount of exercise, degree of goal achievement, average value, etc.). In addition, motivation may be increased by displaying individual achievements to date as the number of points acquired (e.g., a time series graph of the current number or cumulative number), rank (e.g., beginner, intermediate, expert level, etc.), or by visually illustrating the number of points required to reach the next rank.

As an example of using gamification, a mobile app or the like may be provided with a stamp rally function, allowing users to earn stamps by performing desired actions. Alternatively, a mobile app or the like may be provided with a card or character collection function, allowing users to enter a lottery to win a prize by performing desired actions. Gamification may also be used in an aspect involving actual actions, such as a stamp rally using location information, or leveling up or acquiring items in proportion to the type and amount of exercise.

Examples of nudges include those that utilize the conformity effect, those that utilize altruism, those that utilize loss aversion, and those that utilize commitment measures.

As an example of utilizing the conformity effect, a message to reduce food waste could be, "At this restaurant, we are working to reduce food waste with the cooperation of many customers," or a message to encourage anti-plastic activities could be, "500 people from your company are already participating in the bring your own bag activity."

One example of utilizing altruism is a message to promote garbage sorting, such as, "Your proper garbage sorting will prevent accidents, injuries, and deterioration of the working environment during garbage collection and sorting."

As an example of using loss aversion, a message such as "If you do not start an SDG activity by December 31st, all the SDG points you have earned will disappear. Let's do something!" may be used as a message to promote SDG activities. Note that, although this embodiment will be described mainly using the SDGs, the present invention is not limited to such an embodiment. Other embodiments, such as stimulating local consumption and travel demand, may also be used.

As an example of a message that utilizes a commitment measure, messages such as "Today's achievement rate for your step goal is 100%. You walked the distance equivalent to 10 laps around Tokyo Dome" or "Today's achievement rate for your running distance goal is 9 out of 10. You ran the distance equivalent to 3 laps around Osaka Castle Park" could be used to encourage daily exercise.

Various aspects may be combined and used as a nudge. For example, a commitment means may be combined with loss aversion to display a message such as "If you walk 1000 more steps, you will achieve today's exercise goal! If you do not achieve it, your rank will drop from expert to intermediate. You are almost there, so let's walk!" on the user terminal 100. Also, for example, a commitment means, conformity effect, and altruism may be combined to display a message such as "If you all walk a total of 1000 more steps, your team's exercise goal will be achieved! When the team's goal is achieved, food ingredients such as rice will be donated to a children's cafeteria! The current average number of steps for the team is 10,000 steps, and your number is 8,000 steps. Why don't you try walking a little more?" on the user terminal 100.

The information processing device 1 typically provides economic value or recommended information to multiple users. The economic value provided to each user may be determined based on user information such as the user's attribute information. The first model may be created by the model creation unit 40, or a first model created in advance may be stored in the storage unit 60. The control unit 50 may determine the economic value to be granted to a user having the user information by applying the user information to the first model.

The recommended information provided to each user may also be determined based on user information such as the user's attribute information. The second model may be created by the model creation unit 40, or a pre-created second model may be stored in the storage unit 60. The control unit 50 may determine the recommended information to be provided to a user having the user information by applying the user information to the second model.

The storage unit 60 stores user identification information (e.g., a user identification ID) for each user, and the economic value provided to the providing unit 10 may be stored in the storage unit 60 in association with the user identification information. When the economic value is used, the economic value used may be deducted from the economic value stored in the storage unit 60.

At the start of service provision, it is necessary to increase the number of registered users, so a relatively large amount of funds may be prepared and electronic currency information such as points may be uniformly awarded to registered users (see FIG. 4). The user terminal 100 may be able to communicate with the information processing device 1 of this embodiment by downloading a dedicated app.

The control unit 50 may change the total amount of economic value provided to multiple users or the economic value provided to each user in a predetermined period according to the time (see FIG. 4). The total amount of economic value provided to multiple users or the economic value provided to each user may be gradually reduced, continuously reduced, or reduced in stages. In some cases, the total amount of economic value provided to multiple users or the economic value provided to each user may be gradually increased, continuously increased, or increased in stages. In addition, when a campaign or the like is carried out, the total amount of economic value provided to multiple users in a certain period or the economic value provided to each user may be increased. The "predetermined period" in this embodiment is a period that is determined in advance or a period that is newly input from the input unit 250 of the management terminal 240 and stored in the storage unit 60. Examples include one month, two weeks, one week, one day, etc. Log-in to the management terminal 240 may be performed by inputting identification information such as an ID and a password.

The right side of Figure 2 shows graphs of the relationship between the point amount and the number of behavioral changes, and the relationship between the type of nudge and the number of behavioral changes. The learning unit 70 may learn an appropriate point amount from the relationship between the point amount and the number of behavioral changes, or the learning unit 70 may learn appropriate nudge content from the relationship between the nudge content and the number of behavioral changes.

In the case where the number of users or the proportion of users who have changed their behavior in the behavioral change confirmed by the confirmation unit 20 does not increase by a predetermined value or more, the control unit 50 may not increase the total amount of economic value provided to users in a predetermined period or the economic value provided to individual users (see the graph in the upper right of FIG. 2), or may reduce the increase rate of the total amount of economic value in a predetermined period or the economic value provided to individual users. In addition, in the case where the number of users or the proportion of users who have changed their behavior in the behavioral change confirmed by the confirmation unit 20 does not increase by a predetermined value or more, the control unit 50 may reduce the total amount of economic value provided to users in a predetermined period or the economic value provided to individual users. As the "predetermined period," for example, an appropriate period such as one week, two weeks, one month, or three months can be used.

In the case where the number of users or the percentage of users who have changed their behavior in the behavior change confirmed by the confirmation unit 20 does not increase by a predetermined value or more, the control unit 50 may provide recommended information or change the recommended information. For example, in the initial stage, the providing unit 10 may grant economic value to the user, but when the number of users or the percentage of users who have changed their behavior does not increase by a predetermined value or more, the control unit 50 may control the providing unit 10 to provide recommended information instead of granting economic value to the user by the providing unit 10 or while providing economic value. Also, when the providing unit 10 has already provided recommended information, the providing unit 10 may provide different recommended information to the user in response to a command from the control unit 50.

The confirmation unit 20 may be configured to output to the storage unit 60 or the external information storage unit 200 recommended information in which the number or percentage of users who changed their behavior in the behavioral changes confirmed by the confirmation unit 20 is equal to or greater than a predetermined value. When such an embodiment is adopted, the recommended information that was beneficial for the behavioral change is accumulated in the storage unit 60 or the like, and it is possible to confirm what kind of recommended information is beneficial. In addition, attribute information of the user who changed his/her behavior may be associated with the recommended information, in which case it becomes possible to obtain information about what kind of recommended information is beneficial for what kind of user group.

Whether or not a behavioral change has occurred is confirmed by the user terminal 100. For example, if it is desired to "walk more than x steps a day," the number of steps may be measured or estimated using an app installed on a mobile device such as a smartphone, and it may be confirmed for each user whether "walking more than x steps a day" has been achieved using the app's functions and location information. Also, for example, if it is desired to "use an eco-bag x times a day," it may be possible to confirm that an eco-bag has been used once by reading a QR code (registered trademark) presented at a store when the eco-bag is used with the user's smartphone.

The information provided by the providing unit 10 may be transmitted to the user terminal 100, or the information provided by the providing unit 10 may be confirmed by accessing the information processing device 1 such as a server from the user terminal 100. When the user terminal 100 accesses the server, the user may be required to input user identification information and a password. Through such authentication, the information processing device 1 may recognize the accessing user and read out behavior change measures and electronic currency information balances associated with the user from the storage unit 60. The frequency of information provided by the providing unit 10 may change over time, and may be set lower in the middle stage than in the early stage, for example.

When the user terminal 100 receives a behavior change measure from the provision unit 10, the instruction unit 120 of the user terminal 100 may issue an instruction based on the behavior change measure, and the behavior change measure may be displayed on the display unit 160 of the user terminal 100. The instruction unit 120 may instruct the measurement unit 130 to measure a desired activity. The instructions from the instruction unit 120 to the display unit 160 and the measurement unit 130 may be issued periodically, or may be of a behavior-driven type in which instructions from the instruction unit 120 are issued by driving an app.

The measurement unit 130 may issue a measurement instruction when the app is started. In this case, the measurement unit 130 may read certain data, such as step count data, that is normally measured, when the app is started. Furthermore, when purchasing an SDG product or attending an SDG lecture or other event, behavior may be measured by reading a dedicated QR code (registered trademark) provided at the cash register or venue. Furthermore, behavior (e.g., participating in an exhibition or appreciation event held at a specific location) may be measured by using location information.

In addition, in the display unit 160, in addition to a mode in which nudges and the like are displayed periodically, a specific display may be made in an event-driven manner. A specific display may be made when the app is started, or an action such as attending an SDGs lecture, purchasing an SDGs product, or visiting a specific place may be detected as an event, and the display unit 160 may display a specific behavior change measure (for example, providing information on another highly relevant lecture, providing information on another nearby exhibition, presenting another SDGs product or service, etc.). In addition, the display unit 160 may detect an event in which the user has become sluggish and is no longer performing desirable behavior compared to before (for example, bringing a reusable bag less frequently, taking fewer steps each day, etc.), and display the specific behavior change measure, etc.

In response to a lull in the operation, the instruction unit 120 of the user terminal 100 may not detect an event, but may instead send a command to the instruction unit 120 based on the judgment of the control unit 50 of the information processing device 1. However, the present invention is not limited to this, and a distributed control configuration in which the instruction unit 120 is given a certain degree of intelligence may also be adopted.

The memory unit 60 may store a group of quantitative behavior change measures and a group of qualitative behavior change measures (see FIG. 2). If the effect of the qualitative behavior change measures confirmed by the confirmation unit 20 is equal to or greater than a predetermined value, or if the effect of the qualitative behavior change measures confirmed by the confirmation unit 20 is greater than the effect of the quantitative behavior change measures, the control unit 50 may not select the quantitative behavior change measures, or may select them sparingly. In addition, the control unit 50 may specify whether to use group characteristics related to multiple users or individual characteristics related to individual users for each behavior change measure. Group characteristics refer to attributes of a group, such as males in their 40s, and individual characteristics refer to characteristics of each individual.

Quantitative behavior change measures may include, for example, the granting of electronic currency such as points. Qualitative behavior change measures may include, for example, nudge messages, recommendations, praise messages, gamification, visualization, depreciation notification/visualization (e.g., a message that the points will disappear in xx days, but the points will be maintained if you walk xx steps or more a day), etc. Depending on the behavior change measure, additional input information may be present. For example, this input information may be used to customize the measures and the conditions of the measures from the outside, or a predetermined default value may be set. Additional input information in the case of quantitative behavior change measures may include, for example, a grant limit (a grant limit for electronic currency such as points), a change in the number of people whose behavior changes (changing the content provided when the change no longer occurs), a menu group to be granted (contents of the target behavior such as staggered work hours and bringing your own tumbler), etc. In the case of qualitative behavior change measures, the additional input information may include sentences or words that may form part of a text message, for example, in the case of a measure that uses a text message.

In addition, target values such as the absolute number, percentage, or amount of change of the number of people whose behavior has changed may be given as input.
The following is an example of the contents to be input:
・(The change in the number of people who underwent behavioral change is used as input)
"I want to implement new measures that will increase the amount of change in the number of people who change their behavior by more than Δy compared to the measures currently being implemented."
・(The absolute number or percentage of people who changed their behavior is used as input)
"I want to implement measures that will increase the absolute number/percentage of people who change their behavior to more than y."
・(Cases where the above information is not used as input)
"We have just started a service targeting groups with different attributes than before, and we have no idea how much each measure will increase the amount of change in behavior, the percentage, or the absolute number, so we would like to try a certain number of measures and implement the one that is most effective."

The effects confirmed by the confirmation unit 20 are the activity history for each user, and may be the actual number of behavioral changes or the behavioral change rate for the behavioral change measures. The effects confirmed by the confirmation unit 20 are, for example, the number of points acquired (e.g., walking for more than x days a day has accumulated x points), the number of steps, the number of times a user brings their own tumbler, the number of times they stagger their work shifts, the number of SDG products purchased, the amount of SDG product purchases, etc.

In addition, economic value or recommended information may be provided to the user without using the first or second model, and the next behavior change measure may be determined from the user's activity history (see FIG. 2). For example, the providing unit 10 provides the user with economic value or recommended information input from the input unit 250, and the confirmation unit 20 confirms the user's activity history after a certain period of time. If the number of people or the behavior change rate of the user who have changed their behavior is equal to or greater than the threshold, and the effect of the behavior change is obtained, the current measure may be continued. On the other hand, if the number of people or the behavior change rate of the user who have changed their behavior is less than the threshold, and the effect of the behavior change is not good, the control unit 50 may determine the economic value or recommended information to be provided to the user next. As the next measure, the total amount of electronic currency information to be provided to the user or the electronic currency information to be provided to each user may be increased, or different recommended information may be provided. Such a process may be repeated as a loop, and the recommended information prepared in advance may be passed through once to determine the optimal value of electronic currency information or recommended information, or the loop may be stopped when an effect of a certain value or more is obtained.

The above-mentioned process (the process shown in FIG. 2) may be used for learning by the learning unit 70. For example, the above-mentioned process may be performed for 10% of the population of a target area, so that the learning unit 70 creates a first model and a second model for the area, and the first model and the second model thus created may be used to provide economic value and recommended information to each user for the entire area.

Recommendation information such as nudges may not be effective once the user becomes accustomed to them. For this reason, the control unit 50 may take measures such as changing the type of recommendation information such as nudges the second, third, or mid- to long-term, or temporarily providing electronic currency such as points to provide a boost.

If it becomes clear during the learning process what percentage of the bedrock layer is resistant to non-economic incentives, the information processing device of this embodiment can be used to justify the point budget (persuasion based on objective numerical values).

An example of a condition for a group of quantitative behavior change measures can be shown as follows:
while (increase point p by "Δx") {
If (behavior change rate/number does not increase by more than Δy) Distribution points = p
break;
}

An example of a condition for a group of qualitative behavior change measures can be shown as follows:
For (set each measure to measure m) {
If (behavior change rate/number is y or more) Measures to be taken = m
break;
｝

In this case, it is possible to multiplex loops (for example, by policy category), compound judgment formulas (for example, selecting multiple policies), complicate stopping conditions (for example, up to a certain number), make judgments for each individual (nudge) or each group (points), etc. Regarding points, since it may be inappropriate from the perspective of economic equality to set different values for each individual (for example, when a local government distributes points to citizens to promote the SDGs), it is possible to adopt a mode in which judgments are made for each group (= everyone receives the same number of points for performing a specific action at a certain point in time). On the other hand, since economic inequality is unlikely to arise even if nudges are different for each individual, it is possible to change the response to nudges for each individual.

An example of a condition for refraining from using electronic currency information can be shown as follows, where H = high-cost measure (e.g., measure using provision of electronic currency information to users) and L = low-cost measure (e.g., measure using provision of nudges to users).
if (L's effect (behavior change rate/number) is z or more
or the effect of L is greater than H by Δz or more)
Do not perform H or perform H sparingly
break;
｝

By adopting such an approach, if the effect of the low-cost measures is sufficiently large in absolute and relative terms, it is possible to suppress high-cost measures, thereby achieving substantially the same effect while reducing costs.

Each of the first and second models may be a model divided by the attributes of the group. Each of the first and second models may be a model divided by time series such as the introduction period, the practice period, the expansion period, and the habituation period. Each of the first and second models may be a model divided by the encouraged behavior (menu) such as the number of steps, my tumbler, and staggered work hours. The model may be selected by the input unit 250, and in this case, the content shown in FIG. 6 may be displayed on the display unit 270 of the management terminal 240. In the embodiment shown in FIG. 6, a plurality of first and second models are prepared for each category such as city, worker, age, sex, and income, and they can be selected by the input unit 250. For example, for a model to be applied to a certain city or town, an appropriate model may be selected based on the population, average age, average annual income, and male-female ratio of the certain city or town. As an example, the control unit 50 may determine the economic value and recommendation information to be provided to the user in a certain city, town, or village by applying the first model and the second model generated based on the performance data of a city, town, or village that is close to the population, average age, average annual income, male/female ratio, etc., of the first model and the second model generated by learning based on past performance. In addition, taking into account the difference between the "certain city, town, or village" and the "nearby city, town, or village," the control unit 50 may determine the economic value and recommendation information to be provided to the user in the certain city, town, or village by applying the first model and the second model generated using only a portion of the performance data of the "nearby city, town, or village" (for example, when the population ratio in the "nearby city, town, or village" is different from the population ratio in the "certain city, town, or village," data adjusted to match the population ratio). Such a selection may be automatically performed by the control unit 50.

The learning of the first model and the second model may be performed continuously or periodically. In addition, when the predicted behavioral change cannot be confirmed and it is determined that the trained model is not appropriate, the learning of the first model and the second model may be performed.

Also, as described above, when there are multiple models, such as a first model and a second model separated by time series, a different model may be automatically selected by the control unit 50, or may be manually selected by input from the input unit 250.

A usage input unit 260 is provided for inputting electronic currency information used by the user, and the usage input unit 260 and the information processing device 1 may be connected via the Internet. As an example, the usage input unit 260 may read the user identification information linked to the user terminal 100 by reading a QR code displayed on the user terminal 100, and the management unit 30 may deduct the electronic currency information linked to the user identification information by the amount of usage.

When a user performs a predetermined action (e.g., social contribution) such as Jisa Biz, health management, or environmental contribution, electronic currency information may be given in return (see FIG. 2). The electronic currency information may be usable at affiliated stores or donation bases. The electronic currency information may also be exchangeable for predetermined external points or donations.

Also, different from the above, the electronic currency information may be obtained by reading the QR code by the user terminal 100, and as a result, the electronic currency information linked to the user identification information may be managed by the management unit 30.

Next, we will use Figure 4, which shows behavioral changes related to the SDGs, as an example.

Typically, in the initial stage, promotional activities are used to encourage users to download a dedicated app related to the project to their user terminals 100. Once the app is downloaded to the user terminals 100, in the initial stage, behavioral change is encouraged by providing electronic currency information. At this time, the encouragement for behavioral change through nudges is small. This is the stage where users become aware that there are opportunities to contribute to the SDGs in their daily actions. The number of users who are presumed to be aware of the project can be ascertained from the number of app downloads.

When the behavior becomes normalized, it reaches a stage where people are interested in the possibility of opportunities to contribute to the SDGs. When the behavior becomes even more normalized, it moves to a stage where people implement the SDGs, and then to a stage where they broaden the scope of their SDG actions and make them a habit. It is thought that people's perceptions change through these stages, so the control unit 50 controls the system so that the prompting of behavior change by providing electronic currency information is reduced and the prompting of behavior change by nudges is increased. By adopting such an embodiment, it is expected that effective behavior change can be achieved while suppressing the prompting of behavior change by electronic currency information, which increases the economic burden.

By reducing the total amount of electronic currency information provided to users or the electronic currency information provided to individual users while continuing to provide electronic currency information, it is possible to grasp the degree of achievement of behavioral change. For example, by providing electronic currency information in response to a questionnaire, providing electronic currency information in response to the performance of a target behavior, or inducing other SDG contribution behaviors, the degree of achievement of more desirable behavioral change in the behavioral change process can be continuously grasped using electronic currency information acquisition data, such as the percentage of users who have become interested in SDG contribution behaviors and actually practice them, the percentage of users who practice SDG contribution behaviors and have established and made the SDG contribution behavior a habit, and the percentage of users who have expanded their range of behaviors to include other SDG contribution behaviors.

Nudge messages may be distributed to all users, but the control unit 50 may automatically select an effective nudge message tailored to an individual based on basic attributes such as gender, age, occupation, address, etc., as well as observed SDGs sensitivity (values learned through questionnaires, etc., and the speed of behavioral change for each menu that can be observed through the app), and the provision unit 10 may provide the message. For example, the content of the nudge selected by the control unit 50 may be different for a male user in his 20s who lives in the city center and a female user in her 40s who lives in the suburbs.

User attribute information may also include the responsibility of a nudge. Since the same recommended information may work for some users but not others, a user's activity history, including information posted on SNS, may reveal activities or types to which they are highly sensitive as latent characteristics. For example, if it is known that person A is highly sensitive to environmental activities, then rather than providing economic value to A, it may be possible to encourage behavioral change by proactively providing recommended information such as environmental nudges.

The control unit 50 may set a lower economic value to be provided to the user for activities that the user would like to do casually. On the other hand, for activities that are generally considered undesirable (e.g., exercise), the control unit 50 may select and suggest measures corresponding to the activity.

Next, we will explain how electronic currency information is managed.

The management unit 30 may manage virtual coins so that they can be converted into electronic money but not into points. The management unit 30 may manage electronic money so that it cannot be converted into virtual coins or points. The management unit 30 may manage points so that they can be converted into virtual coins and points. The exchange rate between different types of assets may be set arbitrarily, or may be set by a supply and demand prediction model (dynamic pricing). When a supply and demand prediction model is adopted, the management unit 30 may have an artificial intelligence function and generate a supply and demand prediction model using adopted variables and adopted coefficients for the adopted variables. In this case, it becomes possible to change to a different asset depending on the exchange rate according to the supply and demand balance between assets.

In addition, when virtual coins can be exchanged for cash, the management unit 30 may request identity verification for a user attempting to acquire virtual coins worth more than a predetermined amount (e.g., 100,000 yen). In this case, the user will be able to use virtual coins worth more than the predetermined amount only if identity verification has been completed. Identity verification itself may be performed by the user sending a copy of a driver's license or the like to the administrator by mail or email, and the administrator may verify the user. If the administrator has verified the user's identity, the administrator may register the user in the memory unit 60 so that the user can acquire virtual coins worth more than the predetermined amount.

The electronic currency information may be recorded in a memory unit 60 that can be accessed from a user terminal 100 such as a personal computer, smartphone, tablet terminal, etc., or an IC card may be issued and the electronic currency information may be recorded on the IC card. The user terminal 100 such as a personal computer, smartphone, tablet terminal, etc. does not need to be owned by the consumer, and may be a terminal rented by a local government, or may be rented by a vendor at an airport, etc.

Electronic currency information may be paid in exchange for goods or services provided by consumers, companies, convenience stores, and other stores. Electronic currency information may also be used in transactions with administrative agencies such as local governments, and may be used to pay taxes to administrative agencies or as subsidies, grants, or grants from administrative agencies.

The management unit 30 may decrease the electronic currency value over time. "Electronic currency value" refers to the value when converted into cash. In other words, if the "electronic currency value" can be used to purchase the same amount of goods, it means that the "electronic currency value" is the same value, and if the "electronic currency value" can be used to purchase a more expensive item, it means that the "electronic currency value" is higher.

The memory unit 60 may store virtual coins in association with the holders of the virtual coins. This association may be performed by the management unit 30. The management unit 30 may associate the identification information of each virtual coin with the holders of the virtual coins. Then, when the transfer of virtual coins is recognized by settlement, the management unit 30 may recognize that the holders of the virtual coins have been transferred, and store this information in the memory unit 60. This process is performed each time a virtual coin is transferred, and the holders of the virtual coins stored in the memory unit 60 may be rewritten each time the virtual coins are used.

The management unit 30 may read the identification information of the virtual coin from the storage unit 60, and depreciate the value of the virtual coin based on the issue date or issue date and time linked to the identification information. The management unit 30 may also read the issuance information of the virtual coin from the storage unit 60, and depreciate the value of the virtual coin based on the issue date or issue date and time included in the issuance information. This depreciation may be performed periodically, for example, at the same time every day, once a week, or once a month.

Also, unlike this embodiment, the timing of depreciation may be uniform for all electronic currency information. In this case, the number of days until depreciation may differ for each user who has electronic currency information that has never been depreciated, but this is advantageous in that management can be performed very easily. In this case, depreciation may be performed, for example, once a month, or at a predetermined depreciation rate at the end or beginning of the month. An economically desirable natural interest rate (for example, an economically neutral real equilibrium interest rate) may be used as the depreciation rate. Virtual coins, electronic money, and points may be depreciated uniformly at different times, or at the same time.

The management unit 30 may manage the electronic currency so that the cost, such as the amount initially charged, is not depreciated, but only the premium value is depreciated.

Blockchain can also be used to manage electronic currency information. Blockchain is a system in which multiple computers on the internet share and verify transaction records, linking and storing correct records like a chain. By adopting blockchain, it is possible to reduce implementation costs.

The management unit 30 may change the premium value based on location information where the electronic currency is used. The location information may be obtained from a payment terminal that makes payments with the electronic currency, or from a mobile terminal such as a smartphone that can use the electronic currency. In this embodiment, when the electronic currency is used in an area where the premium value is different, the management unit 30 may allow the electronic currency to be used at an electronic currency value that reflects a premium value suited to the area in which it is used. As an example, the management unit 30 may perform a process such as multiplying the electronic currency value by the premium rate at the time of issue, deducting the result, and multiplying the electronic currency value after the deduction by the new premium rate and adding the result.

Similarly, the management unit 30 may change the depreciation rate based on location information in which the electronic currency is used. In this embodiment, when the electronic currency is used in an area with a different depreciation rate, the management unit 30 may allow the electronic currency to be used at an electronic currency value that reflects a depreciation rate appropriate for the area in which it is used.

The conversion rate may also be different when cash information is used and when electronic currency information is used. As one example, the management unit 30 may convert cash into virtual coins using a cash-to-coin conversion rate, convert the points into virtual coins using a point-to-coin conversion rate, convert cash into points using a cash-to-point conversion rate, and convert the virtual coins into points using a coin-to-point conversion rate. The cash-to-coin conversion rate, the cash-to-point conversion rate, the point-to-coin conversion rate, and the coin-to-point conversion rate may each be a different value.

"effect"
Next, effects of the present embodiment having the above-mentioned configuration will be described, focusing on those that have not been described yet. Any configuration used in the "Effect" section, even if not described in the "Configuration" section, can be adopted in the present invention.

When a mode is adopted in which the control unit 50 determines the economic value to be provided to the user based on the first model, determines the recommended information to be provided to the user based on the second model, and the confirmation unit 20 confirms the user's behavioral change due to the economic value or recommended information provided to the user, it is possible to recognize the economic value or recommended information as a basis for the user to change their behavior. Since funds are required to provide economic value to the user, for example, it is possible to grasp recommended information that is effective in encouraging the user's behavioral change while minimizing the economic value provided to the user.

It is possible to hire a professional consultant to propose economic value and recommended information to be provided to users, but the consultant fees are generally high, making it difficult to use this service without careful consideration. In this regard, by adopting this aspect, it is possible to effectively encourage behavioral change at low cost while minimizing the economic value provided to users. In addition, once the system is introduced, it can be used in a general-purpose manner, making it commercially attractive.

When the control unit 50 controls the total amount of economic value provided to multiple users over a predetermined period to vary according to time, it is possible to adopt a mode in which the total amount of economic value is not uniformly borne by all users. As an example, the total amount of economic value provided to users may be set relatively high in the initial stage of the release of a specific app, and the total amount of economic value may be reduced continuously or stepwise once it has been confirmed that a certain number of users have downloaded the app. By adopting such a mode, it is possible to reduce the total amount of economic value required to be provided to users while maintaining the effect of encouraging behavioral change. In addition, the total amount of economic value may be reduced continuously or stepwise once the confirmation unit 20 has confirmed the effect of user behavioral change to a certain extent (for example, the number or percentage of users above a threshold).

If the control unit 50 adopts a control mode in which the total amount of economic value provided to users or the economic value provided to individual users is not increased when the number of users or the percentage of users who have changed their behavior in the behavioral modification confirmed by the confirmation unit 20 does not increase by a predetermined value or more, it becomes possible to reduce the total amount of economic value required to be provided to users at a stage when the effect of the economic value provided to users becomes weaker.

When the number of users or the percentage of users who have changed their behavior in the behavioral change confirmed by the confirmation unit 20 does not increase by a predetermined value or more, if a mode is adopted in which the control unit 50 provides recommended information or controls to change the recommended information, it becomes possible to provide recommended information when the effect of the economic value provided to the user becomes weaker, or to provide different recommended information when the effect of the presented recommended information becomes weaker. This makes it possible to encourage behavioral change in users while searching for effective recommended information to encourage behavioral change.

"method"
Next, an example of the method employed in this embodiment will be described.

The control unit 50 reads out the first model (initial first model) stored in the storage unit 60, and applies user information including attribute information of multiple target users to the initial first model, thereby determining the economic value to be provided to each user. The multiple user information may be information on a group, such as the number of people in each age group, the number of people by gender, or the number of people by annual income.

The control unit 50 also reads out the second model stored in the storage unit 60 and applies the user information of multiple target users to the second model (initial second model), thereby determining the recommended information to be provided to each user.

When a first model and a second model are created individually for a user's attributes and a target behavior, the corresponding appropriate initial first model and initial second model are read from the storage unit 60, and the user information of multiple users is applied to each of the appropriate initial first model and initial second model.

The user information applied to the initial first model and the initial second model may be user information registered when the app is downloaded. As an example, registration of user information may be requested when the app is downloaded, and the registered user information may be applied to the initial first model or the initial second model. In addition, the economic value to be provided to the users may be calculated by applying the user information of the target users to the initial first model, and the calculated economic value may be provided to each user. When a certain amount of user information is collected, the collected user information may be applied to the initial second model to determine the recommended information to be provided to the target users.

In the information processing device 1, the results of the user's behavioral change may be obtained constantly or periodically (e.g., once a day, once a week, etc.). When economic value such as electronic currency information is granted to a user, when the user takes a specified action, the electronic currency information etc. is granted from the information processing device 1 to the user terminal 100. The electronic currency information etc. is linked to user identification information and stored in the storage unit 60. For example, when electronic currency information of A yen is granted to user X, the electronic currency information linked to the user identification information of user X is increased by A yen.

After a certain period of time has passed, the control unit 50 applies the acquired results of the user's behavioral change, such as the number of people who have changed their behavior and the behavioral change ratio, to a medium-term first model that is different from the initial first model, thereby determining the economic value to be provided to the user (see FIG. 2). In addition, the control unit 50 applies the acquired results of the user's behavioral change, such as the number of people who have changed their behavior and the behavioral change ratio, to a medium-term second model that is different from the initial second model, thereby determining the recommended information to be provided to the user. Such review of the economic value and recommended information to be provided may be performed automatically at regular intervals at a certain time, or may be performed automatically when the user's behavioral change is only occurring below a threshold value.

The timing at which the results of the user's behavioral change are applied to the medium-term first model and the timing at which the results of the user's behavioral change are applied to the medium-term second model may be different. Furthermore, when the results of the user's behavioral change are periodically applied to the medium-term first model and the medium-term second model, the application timing may be changed as appropriate by inputting information from the input unit 250. Unlike the above, the initial first model and the medium-term first model may be the same model, and the information output may be different by inputting time axis information (e.g., the elapsed time after the start of the app installation). Similarly, the initial second model and the medium-term second model may be the same model, and the information output may be different by inputting time axis information.

Since no capital is required for the recommended information in principle, the same recommended information can be provided to users without modification as long as the number of people who have changed their behavior or the behavior change rate is equal to or greater than a specified number or rate. In this case, the content of the recommended information provided to users may differ for each individual user, or may differ for each user's attributes.

In the behavioral changes confirmed by the confirmation unit 20, the recommended information in which the number of users or the percentage of users who changed their behavior is equal to or greater than a predetermined value is output by the confirmation unit 20 to the storage unit 60 or the external information storage unit 200, and is stored in the storage unit 60 or the external information storage unit 200. The information stored in this way may be used at a later date as useful recommended information. In addition, the overall data of the behavioral changes confirmed by the confirmation unit 20 (overall data including results in which no favorable behavioral changes were observed) is also stored in the storage unit 60 or the external information storage unit 200. The data stored in this way may be used for learning by the learning unit 70.

Users who obtain economic value from electronic currency information etc. can use the electronic currency information at affiliated stores etc.

The above description of the embodiment and the disclosure of the drawings are merely examples for explaining the invention described in the claims, and the above description of the embodiment or the disclosure of the drawings do not limit the invention described in the claims. Furthermore, the claims as originally filed are merely examples, and the claims may be modified as appropriate based on the descriptions in the specification, drawings, etc.

1 Information processing device 10 Provision unit 20 Confirmation unit 50 Control unit

Claims (7)

a control unit that determines an economic value to be provided to the user by applying the individual information or group information of the user to a first model, and determines recommended information to be provided to the user by applying the individual information or group information of the user to a second model;
a providing unit that provides the economic value and the recommendation information determined by the control unit to a user;
a confirmation unit that confirms the economic value and a behavioral change of a user due to the recommended information;
Equipped with
When the confirmation unit confirms the result of the behavioral change due to the economic value provided to the user, if the number of users or the ratio of users who have changed their behavior in the behavioral change confirmed by the confirmation unit does not increase by a predetermined value or more, the control unit controls to provide recommended information or change the recommended information instead of granting economic value to the user or while providing economic value to the user ;
The control unit selects the first model or the second model according to the user attributes input from the input unit. The information processing device according to claim 1, wherein the control unit controls the total amount of economic value provided to multiple users over a specified period to be changed and reduced according to the time. The information processing device according to claim 1 or 2, wherein the confirmation unit outputs recommended information when the number or percentage of users who have changed their behavior in the behavioral changes confirmed by the confirmation unit is equal to or greater than a predetermined value. selecting, by the control unit, a first model or a second model according to a user attribute inputted from the input unit;
A step of determining an economic value to be provided to the user by applying the individual information or group information of the user to a first model by the control unit, and determining recommended information to be provided to the user by applying the individual information or group information of the user to a second model;
providing the economic value and the recommendation information determined by the control unit to a user by the providing unit;
a step of confirming, by a confirmation unit, the economic value and a behavioral change of the user due to the recommendation information;
Equipped with
An information processing method in which, when a confirmation unit confirms the results of behavioral change due to economic value provided to a user, if the number of users or the percentage of users who have changed their behavior in the behavioral change confirmed by the confirmation unit does not increase by more than a predetermined value, a control unit controls to provide recommended information or change the recommended information instead of granting economic value to the user or while providing economic value . The information processing method according to claim 4, wherein the control unit controls the total amount of economic value provided to multiple users over a specified period to be changed and reduced according to the time. A program installed on a computer,
The computer on which the program is installed
A control function that determines an economic value to be provided to the user by applying the individual information or group information of the user to a first model, and determines recommended information to be provided to the user by applying the individual information or group information of the user to a second model;
A provision function that provides the economic value and recommendation information determined by the control function to a user;
A confirmation function to confirm the change in user behavior due to economic value and recommended information; and
Realize this,
When the confirmation function confirms the result of the behavioral change due to the economic value provided to the user, if the number of users or the ratio of users who have changed their behavior in the behavioral change confirmed by the confirmation function does not increase by a predetermined value or more, the control function controls to provide recommended information or change the recommended information instead of granting economic value to the user or while providing economic value to the user ;
The control function is a program that selects the first model or the second model according to the user attributes input from the input unit. The program according to claim 6, wherein the control function controls the total amount of economic value provided to multiple users over a specified period to be changed and reduced according to the time.