Information processing device, information processing method, and program

Abstract

The present invention provides an information processing device, an information processing method, and a program that can encourage actions that contribute to the realization of a sustainable society. [Solution] The information processing device according to this disclosure includes data collection means for collecting an individual's activity data by receiving said activity data from another device that stores said activity data, data analysis means for analyzing the individual's implementation of sustainable behaviors, which are actions that contribute to the realization of a sustainable society, based on said activity data, and information output means for outputting information that shows the results of said analysis.

Description

Technical Field

[0001] The present disclosure relates to an information processing apparatus, an information processing method, and a program.

Background Art

[0002] In recent years, SDGs (Sustainable Development Goals) have been increasingly recognized. Along with this, the realization of a sustainable society is demanded. In relation to this, Patent Document 1 discloses a system that gives incentives for specific actions, such as actions leading to a reduction in environmental impact, in order to encourage such specific actions.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] However, in the system disclosed in Patent Document 1, only a consideration such as a coupon is given as an incentive to a user who has performed a specific action, and thus information that can encourage the user to take actions for the realization of a sustainable society is not provided. Therefore, the technology described in Patent Document 1 leaves a problem in promoting actions for the realization of a sustainable society. In particular, the technology described in Patent Document 1 may be able to further encourage such actions for users who are positive about actions for the realization of a sustainable society by giving incentives, but it cannot encourage users who are negative at all. [[ID=三十九]]

[0005] Therefore, one of the objects to be achieved by the embodiments disclosed in this specification is to provide an information processing apparatus, an information processing method, and a program that can encourage actions contributing to the realization of a sustainable society. [Means for solving the problem]

[0006] The information processing device according to the first aspect of this disclosure is A data collection means that collects an individual's activity data by receiving it from another device that stores the activity data, Based on the aforementioned activity data, a data analysis means for analyzing the implementation of sustainable behaviors by the aforementioned individuals, which are actions that contribute to the realization of a sustainable society, Information output means for outputting information showing the results of the aforementioned analysis It has.

[0007] In the information processing method relating to the second aspect of this disclosure, Computers Personal activity data is collected by receiving it from another device that stores the activity data. Based on the aforementioned activity data, we will analyze the implementation of sustainable behaviors by the individuals described above, which are actions that contribute to the realization of a sustainable society. The system outputs information showing the results of the aforementioned analysis.

[0008] The program relating to the third aspect of this disclosure is A data collection step in which an individual's activity data is collected by receiving it from another device that stores the activity data, Based on the aforementioned activity data, a data analysis step is performed to analyze the implementation of sustainable behaviors by the aforementioned individuals, which are actions that contribute to the realization of a sustainable society. An information output step that outputs information showing the results of the analysis described above. Have the computer execute it. [Effects of the Invention]

[0009] According to this disclosure, we can provide an information processing device, an information processing method, and a program that can encourage actions that contribute to the realization of a sustainable society. [Brief explanation of the drawing]

[0010] [Figure 1] This is a block diagram showing an example of the configuration of the information processing device related to this disclosure. [Figure 2] This is a schematic diagram showing an example of the configuration of the information processing system related to this disclosure. [Figure 3] This is a block diagram showing an example of the configuration of the information processing device related to this disclosure. [Figure 4] This flowchart shows an example of the operation of the information processing device related to this disclosure. [Figure 5] This is a block diagram showing an example of a computer hardware configuration for implementing an information processing device. [Modes for carrying out the invention]

[0011] For clarity of explanation, the following descriptions and drawings have been omitted and simplified as appropriate. In each drawing, the same or corresponding elements are denoted by the same reference numeral, and redundant explanations have been omitted as necessary for clarity of explanation. Furthermore, each drawing is merely illustrative to illustrate one or more embodiments. Each drawing may be associated not only with one specific embodiment but also with one or more other embodiments. As will be understood by those skilled in the art, various features or steps described with reference to any one drawing may be combined with features or steps shown in one or more other drawings to create embodiments that are not explicitly illustrated or described. Not all features or steps shown in any one drawing to illustrate an exemplary embodiment are necessarily required, and some features or steps may be omitted. The order of steps shown in any of the drawings may be changed as appropriate.

[0012] <Overview of the Embodiment> Hereinafter, a configuration example of the information processing apparatus 1 will be described with reference to FIG. 1. FIG. 1 is a block diagram showing an example of the configuration of the information processing apparatus 1. The information processing apparatus 1 includes a data collection unit 2, a data analysis unit 3, and an information output unit 4. The information processing apparatus 1 is an arbitrary apparatus equipped with, for example, computer resources. The information processing apparatus 1 may be composed of a plurality of apparatuses.

[0013] The data collection unit 2 collects personal activity data by receiving it from another apparatus that stores the activity data. The data collection unit 2 preferably collects activity data of a plurality of individuals, but may collect only the activity data of one individual. More specifically, the data collection unit 2 collects activity data representing the achievements of activities related to the realization of a sustainable society. For example, the activity data may be purchase data of goods, but is not limited thereto.

[0014] The data analysis unit 3 analyzes the implementation of sustainable actions by an individual based on the activity data collected by the data collection unit 2. Here, a sustainable action refers to an action that contributes to the realization of a sustainable society. The sustainable action may be an action predetermined for the processing of the information processing apparatus 1. For example, the data analysis unit 3 analyzes the degree of implementation of sustainable actions by an individual. Note that the realization of a sustainable society may mean the realization of natural environment protection. Also, a sustainable action may mean an action that leads to a reduction in the load on the natural environment, that is, an action that leads to the suppression of the deterioration of the natural environment.

[0015] The information output unit 4 outputs the result of the analysis by the data analysis unit 3. For example, the information output unit 4 transmits information indicating the result of the analysis to another apparatus capable of communicating with the information processing apparatus 1.

[0016] According to the information processing apparatus 1, an individual's activities are analyzed, and information indicating the analysis result regarding the implementation of sustainable actions by the individual is output. Therefore, the individual can know the objective analysis result regarding the implementation of his / her own sustainable actions, and thus can enhance the awareness of sustainable actions. Therefore, according to the information processing apparatus 1, it is possible to encourage the future sustainable actions of the individual, whether the individual is positive or negative about sustainable actions. Note that such an effect can also be obtained in an information processing method including the above-described processing of the information processing apparatus 1, a program that performs the above-described processing of the information processing apparatus 1, or a non-temporary computer-readable medium storing the program.

[0017] Hereinafter, more specific embodiments will be described. In the following description, a product that contributes to the realization of a sustainable society will be referred to as a sustainable product. Specifically, the sustainable product may be a predetermined product whose impact on the natural environment is less than that of other similar products, that is, a so-called eco-friendly product. As a specific example of such a sustainable product, for example, a product manufactured using recycled materials may be used, or a product manufactured using natural materials instead of materials that cause environmental destruction such as plastic may be used, or renewable energy or the like may be used. However, these are merely examples, and the sustainable products are not limited to these.

[0018] <Embodiment> Hereinafter, a configuration example of the information processing system 10 will be described with reference to FIG. 2. FIG. 2 is a schematic diagram showing an example of the configuration of the information processing system 10.

[0019] The information processing system 10 includes, for example, as shown in FIG. 2, an information processing apparatus 100, one or more terminal devices 200 used by an individual, and one or more servers 300. The information processing apparatus 100, the terminal device 200, and the server 300 are communicably connected via a network N such as the Internet.

[0020] The terminal device 200 is a device used by individual U, and is, for example, a smartphone, tablet terminal, or personal computer. The terminal device 200 includes a display (display device) that displays information, and can display, for example, information received by the terminal device 200 via the network N. The display may be a flat panel display such as a liquid crystal display, plasma display, or organic EL (Electro-Luminescence) display. The terminal device 200 may also have input devices such as buttons or pointing devices that accept input operations from individual U. The display and input devices may be integrated by a touch panel or the like.

[0021] Furthermore, the information processing system 10 may include multiple terminal devices 200. In other words, the information processing system 10 can be used by multiple individuals U.

[0022] Server 300 is a server that provides data used by the information processing device 100 for processing, or a server that acquires information output from the information processing device 100 and performs predetermined processing. Server 300 may communicate not only with the information processing device 100 but also with the terminal device 200. In this embodiment, the information processing system 10 includes at least a server 300 that manages purchase data showing the purchase history of goods by individual U. Here, goods may be physical items provided to individual U, or services provided to individual U. In particular, goods may include energy such as electricity and gas consumed by individual U. Server 300 that manages purchase data may be a server of an organization (such as a company) that sells the goods.

[0023] The information processing device 100 is a device corresponding to the information processing device 1 described above. Below, an example of the configuration of the information processing device 100 will be explained using Figure 3. Figure 3 is a block diagram showing an example of the configuration of the information processing device 100. The information processing device 100 includes a data collection unit 101, a data analysis unit 102, an information output unit 103, an action promotion management unit 104, and a data storage unit 105.

[0024] In the configuration example shown in Figure 3, one information processing device comprises all of the following: data acquisition unit 101, data analysis unit 102, information output unit 103, behavior promotion management unit 104, and data storage unit 105. However, some of the components or some of the processing may be handled by other devices. For example, the information processing device 100 may be a device composed of multiple servers.

[0025] The data collection unit 101 corresponds to the data collection unit 2 described above. In this embodiment, the data collection unit 101 collects purchase data, which shows the purchase history of products by individual U, as activity data of individual U, by receiving it from the server 300 that manages the purchase data. The purchase data is data that associates, for example, the identification information of individual U (e.g., name or account name) with the identification information of the purchased product (e.g., product name or product code). In addition, the purchase data may also include other information related to the purchase of the product for each product, such as product classification information (e.g., information indicating classification based on use, or product genre), the date and time of purchase, the purchase amount, and the purchase quantity. For example, if the product is energy such as electricity or gas, the purchase data may include data indicating the amount of energy purchased (i.e., energy usage), or it may include identification information of the energy provider (sales company). The data collection unit 101 may collect purchase data from multiple servers 300. For example, the data collection unit 101 may collect purchase data for goods from a server 300 of an e-commerce (EC) company or retail store that sells the goods. The data collection unit 101 may also collect energy purchase data from a server 300 of an electric power company or gas company. Furthermore, the data collection unit 101 may collect purchase data from a large number of individuals U. The data collection unit 101 may collect personal information (personal identification information and attribute information) of individuals U. The data collection unit 101 may also collect personal information transmitted from terminal devices 200. Attribute information may include information indicating the attributes of individual U, such as age, gender, and family structure. Attribute information of individual U may be included in the purchase data.

[0026] The data analysis unit 102 corresponds to the data analysis unit 3 described above. Based on the purchase data collected by the data collection unit 101, the data analysis unit 102 analyzes the degree to which individuals are engaging in sustainable behavior. The data analysis unit 102 may also analyze the degree to which individuals are engaging in specified environmental protection activities as an indicator of their commitment to sustainable behavior. Here, the specified environmental protection activities may include purchasing specified sustainable products, or reducing carbon dioxide emissions associated with energy consumption to below a specified standard.

[0027] For example, the data analysis unit 102 calculates the behavioral patterns of individual U (e.g., frequency of purchasing sustainable products) and the amount of carbon dioxide emissions associated with the energy consumption purchased by individual U. Specifically, the data analysis unit 102 may perform the following processing. For example, the data analysis unit 102 may analyze the degree to which individual U is implementing sustainable behavior by identifying individual U's purchase history of sustainable products based on the product purchase data collected by the data collection unit 101. In this case, for example, the data analysis unit 102 identifies individual U's purchase history of sustainable products by comparing the identification information of sustainable products with the identification information of products purchased by individual U, which is identified from the purchase data. Here, the identification information of sustainable products may be stored in advance in a storage device such as the data storage unit 105. For example, the data storage unit 105 may store a database that comprehensively covers the identification information of products that qualify as sustainable products. With such a configuration, the degree to which sustainable behavior is implemented can be evaluated from the perspective of purchasing sustainable products.

[0028] Furthermore, for example, the data analysis unit 102 may analyze the degree to which individual U is implementing sustainable behavior by identifying the amount of carbon dioxide emissions associated with energy consumption by individual U based on the energy purchase data collected by the data collection unit 101. In this case, for example, the data analysis unit 102 calculates the amount of carbon dioxide emissions from the purchase data based on definition information for the amount of carbon dioxide emissions per unit amount of energy. Here, the above-mentioned definition information may be stored in advance in a storage device such as the data storage unit 105. This definition information may also be a CO2 emission coefficient that defines the amount of carbon dioxide emitted to produce a unit amount of energy. The data analysis unit 102 may also calculate the amount of carbon dioxide emissions using definition information corresponding to the identification information of the energy provider included in the purchase data. With such a configuration, the degree to which sustainable behavior is implemented can be evaluated from the perspective of carbon dioxide emissions.

[0029] The data analysis unit 102 may generate statistical information from the purchase data of multiple individuals U and use the generated statistical information to analyze the degree to which individual U is implementing sustainable behavior. For example, the data analysis unit 102 may compare the purchase frequency of sustainable products or carbon dioxide emissions of individual U with those of a group having the same attribute information as individual U.

[0030] The Behavior Promotion Management Unit 104 manages target information for each individual U, indicating the target degree of sustainable behavior implementation for that individual U. The Behavior Promotion Management Unit 104 also manages achievement level information for each individual U, indicating the degree of achievement of that individual's target. For example, the Behavior Promotion Management Unit 104 manages this by associating the individual U's identification information, target information, and achievement level information and storing them in a storage device such as the data storage unit 105. The individual U's target may be set by the individual U themselves, or it may be a default target pre-set by the Behavior Promotion Management Unit 104. Furthermore, the individual U's target may be set based on the analysis results of the data analysis unit 102. Specifically, the Behavior Promotion Management Unit 104 may set a target that is a predetermined value higher than the individual U's past (previous month or previous year) sustainable behavior implementation level. The target may be a target value for the frequency of purchasing sustainable products over a specified period (such as one month or one year), or a target value for carbon dioxide emissions. These are just examples of targets, and other specific targets for sustainable behavior may be set. The achievement status information shows the current degree of achievement against the set target.

[0031] The information output unit 103 corresponds to the information output unit 4 described above. The information output unit 103 performs processing to output various types of information to other devices such as the terminal device 200 or the server 300. The information output unit 103 may also transmit information to other devices such as the terminal device 200 via a predetermined application or web portal. In this embodiment, the information output unit 103 outputs information to the terminal device 200 that shows the results of the analysis by the data analysis unit 102. When outputting information about individual U, the information output unit 103 may transmit the information as a response to an access (information acquisition request) accompanied by authentication information indicating that the access (information acquisition request) is from individual U. The information output unit 103 may also transmit the information to a destination determined by pre-stored personal recipient information (such as an email address).

[0032] Furthermore, the information output unit 103 may output recommendation information identified based on the results of the analysis by the data analysis unit 102 to the terminal device 200 of individual U. The recommendation information is information that suggests actions to individual U that will increase the degree to which individual U is practicing sustainable behavior. In other words, the recommendation information is information that provides advice to increase the degree to which individual U is practicing sustainable behavior beyond the current degree to which individual U is practicing sustainable behavior as analyzed by the data analysis unit 102. For example, if individual U has purchased a product that is not a sustainable product, the information output unit 103 may output information that suggests purchasing a sustainable alternative product. Specifically, for example, the information output unit 103 may refer to a storage device such as a data storage unit 105 that stores product information in which identification information of a sustainable product and classification information of the sustainable product are associated. As a result, the information output unit 103 identifies the identification information of sustainable products stored in the storage device, which is associated with the same classification information as the classification information included in the purchase data of products that do not qualify as sustainable products. The information output unit 103 then outputs information to the terminal device 200 of individual U that encourages the purchase of the sustainable product with the identified identification information as an alternative product. Here, as an example, recommendation information that suggests an alternative product has been shown, but other information may be transmitted as recommendation information. For example, the recommendation information may be information that introduces sustainable products purchased by other individuals U (for example, other individuals U with the same attribute information as individual U). The recommendation information may also be information that shows the results of a comparison with the analysis results by the data analysis unit 102 of other individuals U (for example, other individuals U with the same attribute information as individual U). Furthermore, for example, the recommendation information may be information that shows specific target values ​​for the amount of energy purchased (used) over a predetermined period (such as one month or one year), or information that shows advice on how to reduce energy consumption.

[0033] Furthermore, the information output unit 103 may output at least one of the target information or achievement level information managed by the behavior promotion management unit 104 to the individual U's terminal device 200. With this configuration, individual U can easily check their goals and achievement level regarding sustainable behavior. This can increase individual U's motivation for sustainable behavior. Individual U's goals may be set based on recommendation information for individual U. That is, performing the actions recommended in the recommendation information may be set as individual U's goal.

[0034] The data storage unit 105 stores various data necessary for processing by the information processing device 100. The data storage unit 105 also stores various data obtained through processing by the information processing device 100, such as analysis results.

[0035] Next, the specific processing flow of each component shown in Figure 3 will be explained with reference to the flowchart in Figure 4. Figure 4 is a flowchart showing an example of the operation of the information processing device 100.

[0036] In step S100, the data collection unit 101 collects information (data) that the information processing device 100 will use for processing, such as purchase data. Next, in step S101, the data analysis unit 102 performs the analysis process described above based on the data collected in step S100. Next, in step S102, the behavior promotion management unit 104 manages goal information and achievement level information for each individual U. For example, the behavior promotion management unit 104 updates this information based on the analysis results from step S101. Next, in step S103, the information output unit 103 performs a process to output various types of information. For example, the information output unit 103 may transmit information indicating the analysis results, target information or achievement level information, or recommendation information to the terminal device 200 used by individual U.

[0037] The embodiments have been described above. According to the information processing device 100, information regarding sustainable behaviors, generated based on individual U's activity data (purchase data), is output by the information output unit 103. This makes it possible to visualize information regarding sustainable behaviors. In other words, individual U can obtain information about their own sustainable behaviors. More specifically, the information processing device 100 can provide analysis results regarding individual U's implementation of sustainable behaviors. That is, individual U is fed back information on the status of their implementation of sustainable behaviors. This makes it possible to encourage individual U to implement sustainable behaviors. In addition, the information processing device 100 outputs recommendation information. This makes it possible to give individual U specific advice and more effectively encourage individual U to implement sustainable behaviors.

[0038] <Example 1> Next, we will describe Modification 1 of the above-described embodiment. Modification 1 differs from Embodiment 1 in that it includes information technology for providing rewards according to the degree of sustainable behavior. The differences from the embodiment will be explained below, with redundant explanations omitted as appropriate.

[0039] In this modified example, the data collection unit 101 further collects reward information defining the conditions for granting rewards by receiving it from another device (server 300) that stores the reward information. For example, the data collection unit 101 receives reward information from a server 300 that manages the reward information. For example, the data collection unit 101 may collect reward information from a server 300 of an organization that manages the reward information. This organization may be an organization (company) that provides the rewards. The reward information may be information that associates information indicating the content of the reward with information indicating the conditions for granting the reward. The information indicating the conditions for granting the reward may also indicate the degree to which sustainable behaviors required to obtain the reward are implemented. The reward may be points with monetary value, or it may be goods, etc.

[0040] Furthermore, in this modified example, the data analysis unit 102 not only identifies the degree to which individual U is implementing sustainable behaviors, but also determines whether that degree of implementation meets the granting conditions indicated in the reward information. The data analysis unit 102 may also calculate a score (sustainability score) based on the analyzed degree of sustainable behaviors of individual U according to a predetermined calculation algorithm, and determine whether the value of that score meets the granting conditions. In this case, the granting conditions may be a score threshold required for the reward to be granted.

[0041] In this modified version, the information output unit 103 further outputs information representing the status of the granting of benefits to individual U. Specifically, the information output unit 103 outputs information representing the status of the granting of benefits to individual U's terminal device 200. Specifically, the information representing the status of the granting of benefits may be information indicating whether or not the conditions for granting benefits have been met. The information output unit 103 may also output the above-mentioned sustainable score to individual U's terminal device 200. Any user may view the information output by the information output unit 103 via an application or via a web portal or the like.

[0042] In this modified example, the Behavior Promotion Management Unit 104 may also perform a predetermined process to grant a reward to an individual U who meets the reward granting conditions. For example, the Behavior Promotion Management Unit 104 may perform a process to add a predetermined value to the value of points managed in association with the identification information of individual U. Alternatively, for example, the Behavior Promotion Management Unit 104 may send a reward granting request to a server 300 managed by the organization granting the reward, requesting that the reward be granted to the individual U. Here, the reward granting request may include the identification information of individual U who meets the reward granting conditions and information indicating that the individual is eligible for the reward.

[0043] The above describes Modification 1. According to this modification, information processing is performed regarding the provision of rewards according to the degree to which sustainable behaviors are implemented. Therefore, an incentive for implementing sustainable behaviors can be provided to individual U. Consequently, the implementation of sustainable behaviors can be further encouraged.

[0044] <Modification 2> Next, a modified example 2 of the above-described embodiment will be explained. Modified example 2 differs from embodiment 1 in that marketing data is also output. The differences from the embodiment will be explained below, with redundant explanations omitted as appropriate. Note that this modified example may be combined with modified example 1 described above.

[0045] In this modified version, the data analysis unit 102 further generates marketing data based on the purchase data. Specifically, for example, the data analysis unit 102 generates sales statistics based on the purchase data. The purchase data used to generate the statistics is preferably the purchase data of multiple (many) individuals U, but the purchase data of a single individual U may also be used. Examples of sales statistics may include the total number of sales (total number of purchases) for each sustainable product, or the number of purchases for each sustainable product by individual attribute (e.g., by age group, family structure, gender, etc.). These are merely examples, and other types of statistics may be generated.

[0046] In this modified version, the information output unit 103 also outputs marketing data (statistical information) generated by the data analysis unit 102. Specifically, the information output unit 103 transmits the marketing data to a server 300 or the like managed by an organization (company) that sells or develops products. Any user may view the information output by the information output unit 103 via an application, a web portal, or a marketing dashboard.

[0047] The above describes Modification 2. According to this modification, information processing is performed to output marketing data. As a result, companies and other organizations can obtain information that is useful for formulating marketing strategies based on individual data.

[0048] <Variation 3> Next, a third modification of the above-described embodiment will be explained. In Embodiment 1, individual analysis results were generated. In contrast, Modification 3 differs from Embodiment 1 in that regional analysis results are generated. The differences from the embodiment will be explained below, with redundant explanations omitted as appropriate. Note that this modification may be combined with Modification 1 or Modification 2 described above.

[0049] In this modified version, the data collection unit 101 collects activity data that includes information identifying the region to which individual U belongs. For example, the data collection unit 101 collects purchase data that includes identification information identifying the region in which individual U who purchased a product resides. Then, in this modified version, the data analysis unit 102 analyzes the degree of sustainable behavior implementation for each region based on the collected data. Specifically, for example, the data analysis unit 102 aggregates the degree of sustainable behavior implementation for each individual for each region. In addition, in this modified version, the information output unit 103 outputs information showing the analysis results for each region by the data analysis unit 102. The information output unit 103 may also transmit the analysis results for each region to a server 300 managed by the organization (such as a local government) that has jurisdiction over the region. Note that any user may view the information output by the information output unit 103 via an application, via a web portal, or via a dashboard for local governments.

[0050] In this modified example, the Action Promotion Management Unit 104 may manage, for each region, target information indicating the degree of implementation of sustainable behavior and achievement information indicating the degree of achievement of said target. In this case, for example, the Action Promotion Management Unit 104 manages by associating regional identification information, target information, and achievement information and storing them in a storage device such as the data storage unit 105. Regional targets may be set by a local government official or others, or they may be pre-set as default targets by the Action Promotion Management Unit 104. Furthermore, the Action Promotion Management Unit 104 may set targets appropriate to the size of the region based on data indicating the size of the region (e.g., population).

[0051] Furthermore, in this modified example, similar to the embodiment described above, various processes such as analytical processing may be performed not only for each region but also for each individual U.

[0052] The above describes Modification 3. According to this modification, information processing is performed to analyze data for each region and output the analysis results for each region. As a result, local governments and other organizations can obtain useful information to understand the degree of sustainable behavior being implemented at the regional level, and this information can be used to formulate policies aimed at promoting sustainable behavior.

[0053] The information processing device 100 described above may be implemented by a computer as shown in Figure 5. Figure 5 is a block diagram showing an example of the hardware configuration of a computer that implements the information processing device. As shown in Figure 5, the computer 500 includes a network interface 501, memory 502, and a processor 503.

[0054] The network interface 501 is used for communication over network N. The network interface 501 may include, for example, a network interface card (NIC).

[0055] Memory 502 is configured, for example, by a combination of volatile memory and non-volatile memory. Memory 502 is used to store software (computer programs) containing one or more instructions executed by the processor 503, and data used for various processes. The data storage unit 105 may also be implemented by memory 502.

[0056] The processor 503 processes each component of the information processing device by reading and executing software (computer programs) from the memory 502. The processor 503 may be, for example, a microprocessor, an MPU (Micro Processor Unit), or a CPU (Central Processing Unit). The processor 503 may include multiple processors.

[0057] The program, when loaded into a computer, includes a set of instructions (or software code) for causing the computer to perform one or more of the functions described in the embodiments. The program may be stored on a non-temporary computer-readable medium or a physical storage medium. Examples, but not limited to, include random-access memory (RAM), read-only memory (ROM), flash memory, solid-state drive (SSD) or other memory technologies, CD-ROM, digital versatile disc (DVD), Blu-ray® disc or other optical disc storage, magnetic cassette, magnetic tape, magnetic disk storage or other magnetic storage devices. The program may be transmitted over a temporary computer-readable medium or a communication medium. Examples, but not limited to, include temporary computer-readable medium or a communication medium that includes electrically, optically, acoustically or otherwise propagating signals.

[0058] Although the present disclosure has been described above with reference to embodiments, the present disclosure is not limited to the embodiments described above. Various modifications to the structure and details of the present disclosure can be made as can be understood by those skilled in the art within the scope of the present disclosure. Furthermore, each embodiment can be combined with other embodiments as appropriate.

[0059] Some or all of the embodiments described above may also be described as follows, but are not limited to the following: Some or all of the elements (e.g., configuration and function) described in Appendices 2 to 10 that are dependent on Appendice 1 may also be dependent on Appendices 11 to 12 in the same way as in Appendices 2 to 10. Furthermore, some or all of the elements described in any appendice may be applied to various hardware, software, recording means, systems, and methods for recording software.

[0060] (Note 1) A data collection means that collects an individual's activity data by receiving it from another device that stores the activity data, Based on the aforementioned activity data, a data analysis means for analyzing the implementation of sustainable behaviors by the aforementioned individuals, which are actions that contribute to the realization of a sustainable society, Information output means for outputting information showing the results of the aforementioned analysis An information processing device having (Note 2) The aforementioned activity data includes product purchase data, The data analysis means analyzes the degree to which an individual engages in sustainable behavior by identifying the individual's purchase history of sustainable products, which are products that contribute to the realization of a sustainable society, based on the purchase data of the products. The information processing device described in Appendix 1. (Note 3) The data collection means collects the purchase data from a server that manages the purchase data, which associates personal identification information with the identification information of purchased products. The data analysis means identifies the individual's purchase history of sustainable products by comparing the identification information of sustainable products stored in the storage device with the identification information of products purchased by the individual, which is identified from the purchase data. The information processing device described in Appendix 2. (Note 4) The aforementioned activity data includes energy purchase data, The data analysis means analyzes the degree to which an individual is engaging in sustainable behavior by identifying the amount of carbon dioxide emissions associated with the individual's energy consumption, based on the energy purchase data. An information processing device as described in any one of the items 1 to 3 of the appendix. (Note 5) The data collection means collects the purchase data from a server that manages the purchase data, which associates an individual's identification information with the amount of energy purchased. The data analysis means calculates the emissions from the purchase data based on the definition information of carbon dioxide emissions per unit amount of energy stored in the storage device. The information processing device described in Appendix 4. (Note 6) The information output means further outputs information that suggests actions to the individual that will increase the degree to which the individual is implementing sustainable behaviors, based on the results of the analysis. An information processing device as described in any one of the items 1 to 5 of the appendix. (Note 7) The system further includes a behavior promotion management means that manages the identification information of the individual, target information indicating the degree to which the individual is implementing sustainable behaviors, and achievement information indicating the degree to which the target has been achieved, in association with each other. The information output means further outputs at least one of the target information or the degree of achievement information. An information processing device as described in any one of the items 1 to 6 of the appendix. (Note 8) The data collection means further collects benefit information defining the conditions for granting benefits by receiving said benefit information from another device that stores said benefit information. The data analysis means identifies the degree to which the individual is implementing sustainable behaviors and determines whether the degree of implementation satisfies the conditions for granting those behaviors. The information output means further outputs information representing the status of the granting of benefits to the individual. An information processing device as described in any one of the items 1 to 7 of the appendix. (Note 9) The aforementioned activity data includes product purchase data, The data analysis means further generates sales statistics based on the purchase data, The information output means outputs the generated statistical information. An information processing device as described in any one of the items 1 to 8 of the appendix. (Note 10) The activity data includes information that identifies the region to which the individual belongs. The data analysis means analyzes the degree of sustainable behavior implementation in each region based on the activity data. An information processing device as described in any one of the items 1 to 9 of the appendix. (Note 11) Computers Personal activity data is collected by receiving it from another device that stores the activity data. Based on the aforementioned activity data, we will analyze the implementation of sustainable behaviors by the individuals described above, which are actions that contribute to the realization of a sustainable society. Output information showing the results of the above analysis. Information processing methods. (Note 12) A data collection step in which an individual's activity data is collected by receiving it from another device that stores the activity data, Based on the aforementioned activity data, a data analysis step is performed to analyze the implementation of sustainable behaviors by the aforementioned individuals, which are actions that contribute to the realization of a sustainable society. An information output step that outputs information showing the results of the analysis described above. A program that causes a computer to execute something. [Explanation of Symbols]

[0061] N Network U individual 1. Information Processing Device 2. Data Acquisition Unit 3. Data Analysis Department 4. Information Output Unit 10 Information Processing Systems 100 Information Processing Devices 101 Data Acquisition Unit 102 Data Analysis Department 103 Information Output Unit 104 Behavior Promotion Management Department 105 Data Storage Unit 200 terminal devices 500 Computers 501 Network Interface 502 memory 503 Processor

Claims

1. A data collection means that collects an individual's activity data by receiving it from another device that stores the activity data, Based on the aforementioned activity data, a data analysis means for analyzing the implementation of sustainable behaviors by the aforementioned individuals, which are actions that contribute to the realization of a sustainable society, Information output means for outputting information showing the results of the aforementioned analysis An information processing device having

2. The aforementioned activity data includes product purchase data, The data analysis means analyzes the degree to which an individual engages in sustainable behavior by identifying the individual's purchase history of sustainable products, which are products that contribute to the realization of a sustainable society, based on the purchase data of the products. The information processing apparatus according to claim 1.

3. The data collection means collects the purchase data from a server that manages the purchase data, which associates personal identification information with the identification information of purchased products. The data analysis means identifies the individual's purchase history of sustainable products by comparing the identification information of sustainable products stored in the storage device with the identification information of products purchased by the individual, which is identified from the purchase data. The information processing apparatus according to claim 2.

4. The aforementioned activity data includes energy purchase data, The data analysis means analyzes the degree to which an individual is engaging in sustainable behavior by identifying the amount of carbon dioxide emissions associated with the individual's energy consumption, based on the energy purchase data. The information processing apparatus according to any one of claims 1 to 3.

5. The data collection means collects the purchase data from a server that manages the purchase data, which associates an individual's identification information with the amount of energy purchased. The data analysis means calculates the emissions from the purchase data based on the definition information of carbon dioxide emissions per unit amount of energy stored in the storage device. The information processing apparatus according to claim 4.

6. The information output means further outputs information that suggests actions to the individual that will increase the degree to which the individual is implementing sustainable behaviors, based on the results of the analysis. The information processing apparatus according to claim 1.

7. The system further includes a behavior promotion management means that manages the identification information of the individual, target information indicating the degree to which the individual is implementing sustainable behaviors, and achievement information indicating the degree to which the target has been achieved, in association with each other. The information output means further outputs at least one of the target information or the degree of achievement information. The information processing apparatus according to claim 1.

8. The data collection means further collects benefit information defining the conditions for granting benefits by receiving said benefit information from another device that stores said benefit information. The data analysis means identifies the degree to which the individual is implementing sustainable behaviors and determines whether the degree of implementation satisfies the conditions for granting those behaviors. The information output means further outputs information representing the status of the granting of benefits to the individual. The information processing apparatus according to claim 1.

9. Computers Personal activity data is collected by receiving it from another device that stores the activity data. Based on the aforementioned activity data, we will analyze the implementation of sustainable behaviors by the individuals described above, which are actions that contribute to the realization of a sustainable society. Output information showing the results of the above analysis. Information processing methods.

10. A data collection step in which an individual's activity data is collected by receiving it from another device that stores the activity data, Based on the aforementioned activity data, a data analysis step is performed to analyze the implementation of sustainable behaviors by the aforementioned individuals, which are actions that contribute to the realization of a sustainable society. An information output step that outputs information showing the results of the analysis described above. A program that causes a computer to execute something.

Images