Information processing device, information processing method and information processing program

Abstract

To provide an information processing device efficiently executing intervention design causing behavioral change of service users.SOLUTION: An information processing device 1 includes: an acquisition part for acquiring information relating to content constituting a specific service and information relating to target behavior of users of the specific service; an extraction part for extracting first information relating to a first behavioral change technique to be applied to the specific service based on the information relating to the content; a derivation part for deriving second information relating to a second behavioral change technique to be recommended for behavioral change of the users based on the information on the target behavior; a generation part for generating an element set including one or more elements for intervention in the specific service based on the first information and the second information, and an output unit for outputting information relating to the element set.SELECTED DRAWING: Figure 1

Description

[Technical field]

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

[0002] In recent years, efforts to utilize approaches based on theories of behavioral science, which is the scientific study of human behavior, in service development are spreading in various fields such as public policy, medicine, retail, education, etc. For example, Patent Document 1 describes outputting to a subject a message set linked to a behavior change method that acts on the subject's behavior change factors. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Patent No. 7062327 Summary of the Invention [Problem to be solved by the invention]

[0004] It is expected that the technology described in Patent Document 1 can effectively implement intervention design for user behavior modification for new services to which no behavior modification method has been applied. However, if the technology described in Patent Document 1 is applied to a service to which some behavior modification method has already been applied, there is a risk that efficient intervention design cannot be implemented, for example, by implementing an intervention based on a behavior modification method similar to the behavior modification method already applied.

[0005] Therefore, an object of the present invention is to provide an information processing device, an information processing method, and an information processing program that are capable of efficiently implementing intervention design for behavioral change of service users. [Means for solving the problem]

[0006] An information processing device according to one embodiment of the present invention includes an acquisition unit that acquires information regarding content constituting a specific service and information regarding a target behavior by a user of the specific service, an extraction unit that extracts first information regarding a first behavior change method applied to the specific service based on the information regarding the content, a derivation unit that derives second information regarding a second behavior change method recommended for changing the user's behavior based on the information regarding the target behavior, a generation unit that generates an element set including one or more elements for intervention in the specific service based on the first information and the second information, and an output unit that outputs information regarding the element set.

[0007] An information processing method according to another aspect of the present invention includes the steps of acquiring information regarding content constituting a specific service and information regarding a target behavior by a user of the specific service, extracting first information regarding a first behavior change method applied to the specific service based on the information regarding the content, deriving second information regarding a second behavior change method recommended for changing the user's behavior based on the information regarding the target behavior, generating an element set including one or more elements for intervention in the specific service based on the first information and the second information, and outputting information regarding the element set.

[0008] An information processing program according to another aspect of the present invention causes a computer to execute the steps of acquiring information regarding content constituting a specific service and information regarding a target behavior by a user of the specific service, extracting first information regarding a first behavior change method applied to the specific service based on the information regarding the content, deriving second information regarding a second behavior change method recommended for changing the user's behavior based on the information regarding the target behavior, generating an element set including one or more elements for intervention in the specific service based on the first information and the second information, and outputting information regarding the element set. Effect of the Invention

[0009] According to the present invention, it is possible to efficiently design interventions for changing the behavior of service users. [Brief description of the drawings]

[0010] [Figure 1] FIG. 1 is a conceptual diagram of intervention design using an information processing device according to this embodiment. [Figure 2A] FIG. 2A is a diagram showing an example of applied BCT information and recommended BCT information according to this embodiment. [Figure 2B] FIG. 2B is a diagram showing an example of applied BCT information and recommended BCT information according to this embodiment. [Diagram 3] FIG. 3 is a diagram showing an example of a nudge factor associated with a BCT according to this embodiment. [Figure 4A] FIG. 4A is a diagram showing an example of a nudge element set according to this embodiment. [Figure 4B] FIG. 4B is a diagram showing an example of a nudge element set according to this embodiment. [Diagram 5] FIG. 5 is a diagram illustrating an example of a hardware configuration of an information processing device according to the present embodiment. [Figure 6] FIG. 6 is a diagram illustrating an example of a functional configuration of the information processing device according to the present embodiment. [Figure 7] FIG. 7 is a flowchart showing an example of the operation of the information processing device according to the present embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0011] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS The present invention will be described with reference to the accompanying drawings, in which the same reference numerals denote the same or similar configurations.

[0012] (overview) The information processing device according to the present embodiment acquires information on content constituting a specific service (hereinafter referred to as "content information") and information on a target behavior by a user of the specific service (hereinafter referred to as "target behavior information"). The information processing device extracts first information (hereinafter referred to as "applied BCT information") on a first behavior change technique (BCT) (hereinafter referred to as "applied BCT") applied to the specific service based on the content information. The information processing device derives second information (hereinafter referred to as "recommended BCT information") on a second behavior change technique (BCT) (hereinafter referred to as "recommended BCT") recommended for behavior change of a user of the specific service based on the target behavior information. The information processing device generates an element set (hereinafter referred to as "nudge element set") including one or more elements (hereinafter referred to as "nudge elements") for intervention in the specific service based on the applied BCT information and the recommended BCT information, and outputs information on the generated nudge element set.

[0013] Here, the behavior change technique (BCT) according to this embodiment is a technique or method that acts (works) on behavior change. For example, BCTTv1 (Michie S, Richardson M, Johnston M, et al.: The behavior change technique taxonomy (v1) of 93 hierarchically clustered techniques: building an international consensus for the reporting of behavior change interventions. Ann Behav Med 2013; 46: 81-95.) specifies 93 BCTs in 16 groups. Note that the definition of BCTs is not limited to BCTTv1, and may be specified in any way as long as it comprehensively covers the methods of behavior change. In addition, the BCT according to this embodiment includes a group (hereinafter referred to as a "BCT group") including one or more BCTs (for example, a group of BCTTv1), and the BCT group and the BCT may be interchangeable.

[0014] The specific service according to the present embodiment may be any service in which an intervention is implemented to change the user's behavior. For example, a language learning or diet support service, or the sale of financial products provided by a financial institution is assumed, but is not limited to these. The specific service is not limited to those provided to the user using electromagnetic methods such as an application installed on a terminal, a web page, e-mail, or a short message, but may be provided to the user using other methods (e.g., customer service, mail, etc.). The content information constituting the specific service is, for example, text information related to the specific service (e.g., chat logs, etc.), moving images, still images, conversation voice, application-related data, etc., but is not limited to these, and may be any information related to the content of the specific service.

[0015] Furthermore, the nudge element in this embodiment may be, for example, the text of a message using each BCT (e.g., the text of a message for email or short message service), or it may be any element that has characteristics related to the associated BCT, such as a human being with the behavioral characteristics or personality of each BCT, an application using each BCT, artificial intelligence (e.g., generative AI) that realizes each BCT, an organization with the characteristics of each BCT, or a combination of at least two of these.

[0016] FIG. 1 is a conceptual diagram of intervention design using an information processing device according to this embodiment. In FIG. 1, a diet support service is illustrated as an example of a specific service that is the target of intervention design. In this diet support service, for example, a supporter supports a user's diet through chat with the user. In FIG. 1, content information is, for example, a chat log used in the diet support service. Also, target behavior information is, for example, "lose 5 kg on a diet." Note that FIG. 1 is merely an example, and the specific service, content information, and target behavior information according to this embodiment are not limited to those illustrated.

[0017] For example, in Fig. 1, the information processing device 1 acquires a chat log between a user who uses a diet support service and a supporter as content information. Based on the log, the information processing device 1 extracts applied BCT information regarding the BCT applied to the diet support service. The applied BCT information may indicate one or more components of the BCT applied to the diet support service.

[0018] Meanwhile, the information processing device 1 acquires information indicating "dieting to lose 5 kg" as target behavior information. The information processing device 1 extracts recommended BCT information recommended for "dieting to lose 5 kg" based on the information. The recommended BCT information may indicate one or more BCT components recommended for "dieting to lose 5 kg".

[0019] The information processing device 1 generates a nudge element set including one or more nudge elements for intervention in a specific service based on the applied BCT information and the recommended BCT information, and outputs information on the generated nudge element set. The nudge element set may be called a "nudge cocktail" or a "complementary nudge cocktail", etc.

[0020] Specifically, the information processing device 1 may identify a BCT for intervention based on a comparison using applied BCT information and recommended BCT information, and generate a nudge element set including nudge elements associated with at least a portion of the identified BCT for intervention.

[0021] 2A and 2B are diagrams showing an example of comparison using applied BCT information and recommended BCT information according to this embodiment. For example, in FIGS. 2A and 2B, eight BCTs, "Goals and planning", "Shaping knowledge", "Natural consequences", "Comparison of behavior", "Associations", "Repetition and substitution", "Comparison of outcomes" and "Reward and threat", are shown as the applied BCT information and the recommended BCT information, respectively. Each BCT shown in FIGS. 2A and 2B may be a BCT group including one or more BCTs under it, or may be the sum of the components of the one or more BCTs.

[0022] As shown in FIG. 2A, the recommended BCT information may be generated based on the target behavior information so that the ratio between the components of the recommended BCT approaches 1. For example, in FIG. 2A, the ratio between any two of the components of the recommended BCT, among the components of "goal and plan," "information provision," "natural result," "behavioral comparison," "cooperation," "repetition and substitution," "comparison of results," and "reward and threat," is 1. In this way, by generating the recommended BCT information so that the ratio between the components of the recommended BCT approaches 1, it is possible to supplement the BCT that is lacking in a specific service in a balanced manner, so that even if the behavioral characteristics of users of the specific service vary, it is possible to effectively support the behavioral change of the target behavior of the user.

[0023] On the other hand, as shown in FIG. 2B, the recommended BCT information may be generated based on the target behavior information so that the ratio between a specific component of the recommended BCT and other components is greater than the ratio between the other components of the recommended BCT. For example, in FIG. 2B, the ratio between the component of a specific recommended "goal and plan" and the component of another recommended BCT is greater than the ratio between the components of the other recommended BCT. In this way, by generating the recommended BCT information so that the ratio between the component of a specific recommended BCT and the component of another recommended BCT is greater than the ratio between the components of the other recommended BCT, a specific BCT that is lacking in a specific service can be efficiently supplemented, so that when the behavioral characteristics of users of a specific service are similar to a certain extent, the behavioral change of the target behavior of the user can be more effectively supported.

[0024] As shown in Figures 2A and 2B, it is expected that a difference will occur between the applied BCT information and the recommended BCT information. For example, in Figure 2A, for two BCTs, "natural results" and "cooperation," the components match between the applied BCT information and the recommended BCT information, but for the remaining BCTs, "goals and plans," "information provision," "action comparison," "repeat and replacement," "comparison of results," and "reward and threat," the components of the applied BCT information are insufficient compared to the components of the recommended BCT information. Also, in Figure 2B, for one BCT, "reward and threat," the components match between the applied BCT information and the recommended BCT information, but for the remaining BCTs, for six, "goals and plans," "information provision," "natural results," "action comparison," "cooperation," and "comparison of results," the components of the applied BCT information are insufficient compared to the components of the recommended BCT information, and for one BCT, "repeat and replacement," the components of the applied BCT information exceed the components of the recommended BCT information.

[0025] Therefore, the information processing device 1 analyzes the difference between the applied BCT information and the recommended BCT information, and identifies the BCT for intervention for the diet support service based on the analysis result. Specifically, the information processing device 1 may identify at least a part of the BCTs (in FIG. 2B, six BCTs "Goals and Plans", "Information Provision", "Natural Results", "Action Comparison", "Collaboration", and "Result Comparison") in which the components of the applied BCT information are insufficient compared to the components of the recommended BCT information, as the BCT for intervention. The information processing device 1 generates a nudge element set including one or more nudge elements associated with the identified BCT for intervention, and outputs information on the nudge element set.

[0026] Fig. 3 is a diagram showing an example of a nudge element associated with a BCT according to this embodiment. As shown in Fig. 3, the information processing device 1 may store a nudge element in association with each BCT. Each BCT shown in Fig. 3 may be a BCT group including one or more BCTs under it, and a nudge element may be associated with each BCT in the BCT group.

[0027] 4A and 4B are diagrams showing an example of a nudge element set according to this embodiment. In FIG. 4A, an example of a balanced nudge element set is shown, and in FIG. 4B, an example of a specialized nudge element set is shown. In FIG. 4A and 4B, it is assumed that a difference occurs between the applied BCT information and the recommended BCT information, as shown in FIG. 2A and 2B, respectively.

[0028] As shown in Figure 4A, in a balanced nudge element set, the nudge element set may include nudge elements associated with each of all BCT groups in which the applied BCT information component is insufficient compared to the recommended BCT information component (e.g., in Figure 2A, the six BCT groups "Goals and Plans," "Information Provision," "Action Comparison," "Repetition and Substitution," "Outcome Comparison," and "Reward and Threat")

[0029] When implementing an intervention using the balanced nudge element set shown in Figure 4A, the nudge element set includes nudge elements associated with all BCTs whose applied BCT information components are insufficient compared to the recommended BCT information components. This makes it possible to effectively support behavioral change in the target behavior of users of a particular service even when there is variation in the behavioral characteristics of the users.

[0030] On the other hand, as shown in FIG. 4B, in the specialized nudge element set, nudge elements associated with all BCTs in which the components of the applied BCT information are insufficient compared to the components of the recommended BCT information (for example, in FIG. 2B, six BCTs "goals and plans," "information provision," "natural results," "behavior comparison," "collaboration," and "comparison of results") may be included in the nudge element set. Note that which BCT to emphasize in the specialized nudge element set (i.e., which BCT to generate the recommended BCT information so as to emphasize and recommend) may be determined based on, for example, the behavioral characteristics of users of a specific service, the magnitude of the difference between the components of the recommended BCT information and the components of the applied BCT information, or the environmental constraints related to the implementation system.

[0031] For example, in Figure 4B, nudge elements associated with BCTs that lack components of applied BCT information compared to the components of the recommended BCT information (e.g., in Figure 2B, the six BCTs “Goals and Plans,” “Information Provision,” “Natural Consequences,” “Action Comparison,” “Collaboration,” and “Outcome Comparison”) are included in the nudge element set.

[0032] When implementing an intervention using the specialized nudge element set shown in Figure 4B, nudge elements associated with each BCT for which the components of the applied BCT information are insufficient compared to the components of the recommended BCT information are included in the nudge element set, so that when the behavioral characteristics of users of the specific service are somewhat similar, it is possible to more effectively support behavioral change in the target behavior of the users.

[0033] Furthermore, the information processing device 1 may control the number or amount of nudge elements for each BCT included in a balanced or specialized nudge element set (for example, FIG. 4A or FIG. 4B) based on the magnitude of the difference between the components of the recommended BCT information and the components of the applied BCT information. For example, in the balanced nudge element set shown in FIG. 2A, the difference between the applied BCT information and the recommended BCT information for the BCTs "goal and plan", "information provision", "action comparison", "repeat and replacement", and "comparison of results" is larger than the difference between the applied BCT information and the recommended BCT information for the BCT "reward and threat". For this reason, in the balanced nudge element set shown in FIG. 4A, more nudge elements associated with the BCTs "goal and plan", "information provision", "action comparison", "repeat and replacement", and "comparison of results" may be extracted than the nudge elements associated with the BCT "reward and threat". In addition, in the specialized nudge element set shown in FIG. 2B, the difference between the applied BCT information and the recommended BCT information for the BCT "goals and plans" is larger than the difference between the applied BCT information and the recommended BCT information for the BCTs "information provision," "natural results," "behavior comparison," "collaboration," and "results comparison." Therefore, in the specialized nudge element set shown in FIG. 4B, more nudge elements associated with the BCT "goals and plans" may be extracted than nudge elements associated with other BCTs. In this way, by controlling the number or amount of nudge elements for each BCT included in the nudge element set based on the magnitude of the difference between the components of the recommended BCT information and the components of the applied BCT information, it is possible to more effectively perform intervention for behavior change of the service user.

[0034] As described above, according to the information processing device 1 of this embodiment, a nudge element set including one or more nudge elements for intervention in a specific service is generated based on applied BCT information and recommended BCT information, and an intervention in a specific service is designed based on information on the generated nudge element set. Therefore, additionally required nudge elements are automatically extracted based on a BCT that is lacking in a service to which some BCT has already been applied, and efficient intervention design can be implemented.

[0035] Specifically, for existing services where intervention design was based on biased BCT, by redesigning the intervention using information on the nudge element set generated by the information processing device 1 according to this embodiment, a service that applies a more comprehensive BCT from the perspective of behavioral science can be realized. This makes it possible to promote the use of services by users who have been overlooked in the past. In addition, by combining multiple nudge elements included in the nudge element set, it is also possible to promote collaboration between providers of each of the multiple nudge elements.

[0036] Furthermore, according to the information processing device 1 of this embodiment, if the target group has a high level of behavioral science understanding, a specialized nudge element set is generated, and if the target group has a low level of behavioral science understanding, a balanced nudge element set is generated, so that a nudge element set according to the target group's level of behavioral science understanding that is converted according to the amount of target behavior information can be generated, and efficient intervention design can be implemented. Of course, specialized or balanced nudge element sets may be generated by generating specialized or balanced recommended BCT information according to the target group's level of behavioral science understanding.

[0037] (composition) Next, the configuration of the information processing device 1 according to this embodiment will be described. The information processing device 1 may be configured as a single device, or may be configured to include multiple devices. For example, the information processing device 1 may be configured as multiple devices that implement some of the functional configuration described below, and the functional configuration described below may be realized by the multiple devices connected by a wired and / or wireless network.

[0038] Fig. 5 is a diagram showing an example of a hardware configuration of the information processing device 1 according to this embodiment. As shown in Fig. 5, the information processing device 1 has a processor 11 such as a CPU (Central Processing Unit) corresponding to a calculation device, a storage device 12, a communication device 13, and an input / output device 14. These components are connected via a bus so as to be able to transmit and receive data to and from each other.

[0039] The processor 11 is, for example, a CPU (Central Processing Unit), and is a control unit that controls the execution of programs stored in the storage device 12 and calculates and processes data. The processor 11 receives various input data from the input / output device 14 and / or the communication device 13, and outputs (for example, displays) the results of calculations on the input data to the input / output device 14, stores the results in the storage device 12, or transmits the results via the communication device 13.

[0040] The storage device 12 is at least one of a memory, a hard disk drive (HDD), and a solid state drive (SSD). The storage device 12 of the information processing device 1 may store an action support program executed by the processor 11. The storage device 12 may be called a "storage unit" or the like.

[0041] The communication device 13 is a device that communicates via a wired and / or wireless network, and may include, for example, a network card, a communication module, a chip, an antenna, etc. The communication device 13 may be called a "transmitter" or a "receiver", etc.

[0042] The input / output device 14 includes, for example, input devices such as a keyboard, a touch panel, a mouse, and / or a microphone, and output devices such as a display and / or a speaker. The input / output device may be called an "input unit" or an "output unit", etc.

[0043] The hardware configuration described above is merely an example. The information processing device 1 may omit some of the hardware shown in FIG. 5, or may include hardware not shown in FIG. 5. The hardware shown in FIG. 5 may be configured with one or more chips. When the information processing device 1 is configured with multiple devices, each device may include at least some of the hardware.

[0044] 6 is a diagram showing the functional configuration of the information processing device 1 according to the present embodiment. As shown in FIG. 6, the information processing device 1 includes a storage unit 101, an acquisition unit 102, an extraction unit 103, a derivation unit 104, a generation unit 105, and an output unit 106.

[0045] The storage unit 101 can be realized by using the storage device 12. At least a part of the functions realized by the acquisition unit 102 and the output unit 106 can be realized by using at least one of the communication device 13 and the input / output device 14. At least a part of the functions realized by the extraction unit 103, the derivation unit 104, and the generation unit 105 can be realized by the processor 11 executing an information processing program stored in the storage device 12. The information processing program can be stored in a storage medium. The storage medium storing the program may be a non-transitory computer readable storage medium. The non-transitory storage medium is not particularly limited, and may be, for example, a storage medium such as a USB memory or a CD-ROM. Of course, the information processing device 1 may have a function not shown.

[0046] The storage unit 101 stores a nudge element in association with the BCT (for example, FIG. 3). The nudge element stored in the storage unit 101 may be set according to a specific service that is the target of the intervention. For example, the storage unit 101 may be set to store the text of a message to which the BCT is applied as a nudge element associated with the BCT when intervening in a certain service. Furthermore, the storage unit 101 may store information on a person having a behavioral characteristic of the BCT as a nudge element associated with the BCT when intervening in another service. Similarly, the storage unit 101 may be set to store a nudge element having a behavioral characteristic of the BCT in association with the BCT when intervening in each service.

[0047] Furthermore, the storage unit 101 may store a first model (hereinafter, referred to as an "extraction model") used to extract applied BCT information. The extraction model may be generated based on machine learning using information about the content (e.g., text, image, sound, etc.) and information about the BCT as learning data.

[0048] In addition, the storage unit 101 may store a second model (hereinafter, "recommended model") used to derive recommended BCT information. The recommended model may be generated based on machine learning using information on behavior and information on BCT as learning data.

[0049] The acquiring unit 102 acquires content information related to content constituting a specific service, and target behavior information related to target behavior by a user of the specific service.

[0050] The extraction unit 103 extracts applied BCT information (first information) related to a BCT (first behavior modification technique) applied to a specific service based on the content information. Specifically, the extraction unit 103 may input the content information acquired by the acquisition unit 102 to an extraction model stored in the storage unit 101 to extract the applied BCT information.

[0051] The derivation unit 104 derives recommended BCT information (second information) regarding a BCT (second behavior modification method) recommended for behavior modification of a user of a specific service based on the target behavior information. Specifically, the derivation unit 104 may input the target behavior information acquired by the acquisition unit 102 to a recommendation model stored in the storage unit 101 to derive the recommended BCT information. Alternatively, the derivation unit 104 may derive information regarding all BCTs, regardless of the target behavior, as the recommended BCT information. Furthermore, the derivation unit 104 may derive the recommended BCT information based on the target behavior information so that the ratio between the components of the recommended BCT approaches 1 (for example, FIG. 2A). Furthermore, the derivation unit 104 may derive the recommended BCT information based on the target behavior information so that the ratio between the components of a specific recommended BCT and the components of another recommended BCT is larger than the ratio between the components of the other recommended BCT (for example, FIG. 2B). Furthermore, the derivation unit 104 may generate recommended BCT information (for example, specialized or balanced recommended BCT information) according to the degree of behavioral scientific understanding of the subject group.

[0052] The generating unit 105 generates a nudge element set including one or more nudge elements for intervention with respect to a specific service based on the content information and the target behavior information acquired by the acquiring unit 102. Specifically, the generating unit 105 may identify a BCT for intervention based on a comparison using the applied BCT information and the recommended BCT information, and generate a nudge element set including a nudge element associated with the identified BCT for intervention in the storage unit 101. For example, as shown in Figures 2A and 2B, the generating unit 105 may compare the applied BCT information with the recommended BCT information, and analyze the difference between the applied BCT information and the recommended BCT information for each BCT.

[0053] The generating unit 105 may specify all BCTs whose applied BCT information components are insufficient compared to the components indicated by the recommended BCT information as BCTs for intervention. Alternatively, the generating unit 105 may specify a part of BCTs whose applied BCT information components are insufficient compared to the components indicated by the recommended BCT information as BCTs for intervention.

[0054] In this way, the generation unit 105 may identify at least a portion of the BCTs whose components in the applied BCT information are deficient compared to the components indicated by the recommended BCT information as BCTs for intervention, and generate a nudge element set including nudge elements associated with the identified BCTs for intervention.

[0055] Furthermore, the generating unit 105 may control the number or amount of nudge elements associated with the BCT for intervention based on the magnitude of the difference between the components of the applied BCT information and the components of the recommended BCT information. For example, the generating unit 105 may increase the number or amount of nudge elements associated with the BCT for intervention as the difference between the components of the applied BCT information and the components of the recommended BCT information becomes larger. On the other hand, the generating unit 105 may decrease the number or amount of nudge elements associated with the BCT for intervention as the difference between the components of the applied BCT information and the components of the recommended BCT information becomes smaller.

[0056] The output unit 106 outputs information about the nudge element set generated by the generation unit 105. For example, the output unit 106 may output information about the nudge element set to an intervention designer for a specific service.

[0057] (operation) Fig. 7 is a flowchart showing the operation of the information processing device 1 according to this embodiment. Note that the operation of the information processing device 1 shown in Fig. 7 is merely an example and is not limited to that shown in the figure. For example, the order of steps S102 and S103 may be interchanged. Also, in Fig. 7, it is assumed that various nudge elements corresponding to the service to be intervened are stored in the storage unit 101 of the information processing device 1 in association with each BCT.

[0058] As shown in FIG. 7, the information processing device 1 acquires content information related to content of a specific service and target behavior information related to a target behavior of a user of the specific service (step S101).

[0059] The information processing device 1 extracts the applied BCT information based on the content information acquired in step S101 (step S102). Specifically, the information processing device 1 may input the content information to an extraction model to extract the applied BCT information.

[0060] The information processing device 1 derives recommended BCT information based on the target behavior information acquired in step S101 (step S103). Specifically, the information processing device 1 may input the target behavior information into a recommendation model to extract recommended BCT information. Alternatively, the derivation unit 104 may derive information on all BCTs as recommended BCT information, regardless of the target behavior.

[0061] The information processing device 1 generates a nudge element set for intervention for a specific service based on the applied BCT information extracted in step S102 and the recommended BCT information derived in step S103 (step S104). Specifically, the generating unit 105 may identify a BCT for intervention based on a comparison using the applied BCT information and the recommended BCT information, and generate a nudge element set including a nudge element associated with the identified BCT for intervention. For example, as shown in Figures 2A and 2B, the generating unit 105 may compare the applied BCT information with the recommended BCT information, identify at least a part of the BCT in which the components of the applied BCT information are insufficient compared to the components indicated by the recommended BCT information, as a BCT for intervention, and generate a nudge element set (for example, a balanced nudge element set in Figure 4A or a specialized nudge element set in Figure 4B) including a nudge element associated with the identified BCT for intervention.

[0062] The information processing device 1 outputs information about the nudge element set generated in step S104 (step S105).

[0063] As described above, according to the information processing device 1 of this embodiment, a nudge element set including one or more nudge elements for intervention in a specific service is generated based on applied BCT information and recommended BCT information, and an intervention in a specific service is designed based on information on the generated nudge element set. Therefore, an efficient intervention design can be implemented based on a BCT that is insufficient for a service to which some BCT has already been applied.

[0064] Specifically, for existing services where intervention design was based on biased BCT, by redesigning the intervention using information on the nudge element set generated by the information processing device 1 according to this embodiment, a service that applies a more comprehensive BCT from the perspective of behavioral science can be realized. This makes it possible to promote the use of services by users who have been overlooked in the past. In addition, by combining multiple nudge elements included in the nudge element set, it is also possible to promote collaboration between providers of each of the multiple nudge elements.

[0065] Moreover, according to the information processing device 1 of this embodiment, since applied BCT information is extracted from the content information of a specific service using an extraction model, the interventionist can more easily specify the BCT to be applied to the specific service. Furthermore, since recommended BCT information is derived from the target behavior information using a recommendation model, the interventionist can more easily specify the BCT recommended for the target behavior of the specific service. Furthermore, improving the metacognition of the provider of a specific service can also contribute to the provider's self-cognition and other-cognition.

[0066] The above-described embodiment is intended to facilitate understanding of the present invention, and is not intended to limit the present invention. The flow charts, sequences, elements included in the embodiment, and their arrangements, materials, conditions, shapes, sizes, etc. described in the embodiment are not limited to those exemplified, and may be modified as appropriate.

[0067] (Other embodiments) In the above embodiment, an example has been described in which the difference is analyzed by comparing the applied BCT information and the recommended BCT information, and a nudge element set including one or more nudge elements for intervention in a specific service is generated based on the difference, but this is not limited to the example. The information processing device 1 may input the applied BCT information and the recommended BCT information into a predetermined model without comparing the applied BCT information and the recommended BCT information, and generate a nudge element set as an output of the predetermined model.

[0068] In addition, in the above embodiment, the information processing device 1 outputs information about the nudge element set to an intervention designer of a specific service, but this is not limited to this, and the information may be output to a user of a specific service. For example, the information processing device 1 may output information about one or more nudge elements included in the nudge element set to a user once or multiple times as information about the nudge element set. Furthermore, the information processing device 1 may output information about a nudge element randomly selected from a plurality of nudge elements included in the nudge element set to a user.

[0069] Furthermore, the information processing device 1 may generate information on the nudge element set as the information on the nudge element set for all users of a specific service, or may generate information on the nudge element set for each user or for each user group including one or more users. The information processing device 1 may generate a nudge element set for each user or user group (also called an "adaptive nudge cocktail") based on the reaction of each user or each user group in response to a nudge element set for all users (also called a "MECE (Mutually Exclusive and Collectively Exhaustive) nudge cocktail"). [Explanation of symbols]

[0070] 1...information processing device, 11...processor, 12...storage device, 13...communication device, 14...input / output device, 101...storage unit, 102...acquisition unit, 103...extraction unit, 104...derivation unit, 105...generation unit, 106...output unit

Claims

1. An acquisition unit that acquires content information relating to content constituting a specific service to which one or more behavioral change techniques (BCTs) are applied, and target behavior information relating to target behavior by users of the specific service, An extraction unit extracts applied BCT information that indicates the components of the applied BCT, which is one or more BCTs applied to the specific service, based on the content information. Based on the aforementioned target behavior information, a derivation unit derives recommended BCT information indicating the components of a recommended BCT, which is one or more BCTs recommended for application to the specific service, by controlling the ratio between the components of the recommended BCT. A generation unit that identifies an intervention BCT for a specific service based on the difference between one or more components of an applied BCT indicated by the applied BCT information and one or more components of a recommended BCT indicated by the recommended BCT information, and generates a set of nudge elements including one or more nudge elements associated with the identified intervention BCT, An output unit that outputs information regarding the nudge element set, An information processing device equipped with the following features.

2. The system further comprises a storage unit that stores nudge elements acting on each BCT in association with each BCT, The generation unit generates a set of nudge elements, which includes one or more nudge elements that are stored in association with the identified intervention BCT in the storage unit. The information processing apparatus according to claim 1.

3. The generating unit identifies at least one of the BCTs in which the components of the applied BCT are insufficient with respect to the components of the recommended BCT as the BCT for intervention. The information processing apparatus according to claim 1.

4. The derivation unit derives the recommended BCT information based on the target behavior information such that the ratio of the components of the recommended BCT approaches 1. The information processing apparatus according to claim 1.

5. The derivation unit derives the recommended BCT information based on the target behavior information such that the ratio between a specific component of the recommended BCT and other components is greater than the ratio between other components of the recommended BCT. The information processing apparatus according to claim 1.

6. The generation unit controls the number or amount of the nudge elements for each intervention BCT to be included in the nudge element set, based on the magnitude of the difference between the components of one or more recommended BCTs indicated by the recommended BCT information and the components of one or more applied BCTs indicated by the applied BCT information. The information processing apparatus according to claim 1.

7. The storage unit further stores a first model based on machine learning, using information about the content and information about the BCT as training data. The extraction unit inputs the content information into the first model and extracts the applied BCT information. The information processing apparatus according to claim 2.

8. The storage unit further stores a second model based on machine learning, using information about behavior and information about BCT as training data. The derivation unit inputs the target behavior information into the second model to derive the recommended BCT information. The information processing apparatus according to claim 7.

9. The output unit outputs information relating to the nudge element set for each user or user group of the specific service. The information processing apparatus according to claim 1.

10. The information processing device is A step of acquiring content information relating to content constituting a specific service to which one or more behavioral change techniques (BCTs) are applied, and target behavior information relating to target behaviors by users of the specific service, A step of extracting applied BCT information that indicates the components of the applied BCT, which is one or more BCTs applied to the specific service, based on the content information, Based on the aforementioned target behavior information, a step of deriving recommended BCT information that indicates the components of a recommended BCT, which is one or more BCTs recommended to be applied to the specific service, by controlling the ratio between the components of the recommended BCT, A step of identifying an intervention BCT for a specific service based on the difference between one or more components of an applied BCT indicated by the applied BCT information and one or more components of a recommended BCT indicated by the recommended BCT information, and generating a set of nudge elements including one or more nudge elements associated with the identified intervention BCT, A step of outputting information regarding the nudge element set, An information processing method having

11. A computer, A step of acquiring content information relating to content constituting a specific service to which one or more behavioral change techniques (BCTs) are applied, and target behavior information relating to target behaviors by users of the specific service, A step of extracting applied BCT information that indicates the components of the applied BCT, which is one or more BCTs applied to the specific service, based on the content information, Based on the aforementioned target behavior information, a step of deriving recommended BCT information that indicates the components of a recommended BCT, which is one or more BCTs recommended to be applied to the specific service, by controlling the ratio between the components of the recommended BCT, A step of identifying an intervention BCT for a specific service based on the difference between one or more components of an applied BCT indicated by the applied BCT information and one or more components of a recommended BCT indicated by the recommended BCT information, and generating a set of nudge elements including one or more nudge elements associated with the identified intervention BCT, A step of outputting information regarding the nudge element set, An information processing program to execute an action.

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