System

Abstract

An object of a system according to an embodiment is to promote the consumption of local residents and to link the maintenance of stores with the local contribution.SOLUTION: A system according to an embodiment includes a consumption promotion unit, a store maintenance unit, and a regional contribution unit. The consumption promotion unit promotes consumption of local residents. The store maintenance unit supports maintenance of the store based on the consumption promoted by the consumption promotion unit. The regional contribution unit uses a part of the sales of the store maintained by the store maintenance unit for regional contribution.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The technology of the present disclosure relates to a system. [Background technology]

[0002] Patent document 1 discloses a persona chatbot control method performed by at least one processor, the method including the steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to a description of the chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2022-180282 Summary of the Invention [Problem to be solved by the invention]

[0004] Conventional technology does not adequately contribute to revitalizing the local economy, maintaining stores, and contributing to the local community, so there is room for improvement.

[0005] The system according to the embodiment aims to promote consumption by local residents and to link store maintenance with contributions to the local community. [Means for solving the problem]

[0006] The system according to the embodiment includes a consumption promotion unit, a store maintenance unit, and a community contribution unit. The consumption promotion unit promotes consumption by local residents. The store maintenance unit supports the maintenance of stores based on the consumption promoted by the consumption promotion unit. The community contribution unit uses a portion of sales from stores maintained by the store maintenance unit to contribute to the community. [Effects of the Invention]

[0007] The system according to the embodiment can promote consumption by local residents and link store maintenance with contributing to the local community. [Brief explanation of the drawings]

[0008] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. DETAILED DESCRIPTION OF THE INVENTION

[0009] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0010] First, the terms used in the following description will be explained.

[0011] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, the processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), or a TPU (Tensor Processing Unit).

[0012] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0013] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0014] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), and Bluetooth (registered trademark).

[0015] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0016] [First embodiment] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0017] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0018] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0019] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0020] The reception device 38 includes a touch panel 38A and a microphone 38B, and receives user input. The touch panel 38A detects contact with a pointer (for example, a pen or a finger) to receive user input by the touch of the pointer. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 (see FIG. 2) acquires the data indicating the user input.

[0021] Output device 40 includes a display 40A and a speaker 40B, and presents data to a user by outputting the data in a form of expression that the user can perceive (e.g., audio and / or text). Display 40A displays visible information such as text and images in accordance with instructions from processor 46. Speaker 40B outputs audio in accordance with instructions from processor 46. Camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0022] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

[0023] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0024] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0025] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0026] In the smart device 14, the specific processing is performed by the processor 46. The storage 50 stores a specific processing program 60. The specific processing program 60 is used together with the specific processing program 56 by the data processing system 10. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. Note that the smart device 14 has a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can also perform processing similar to that of the specific processing unit 290 using these models.

[0027] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device (e.g., a generation server) may have the data generation model 58. In this case, the data processing device 12 obtains a processing result (prediction result, etc.) using the data generation model 58 by communicating with the server device having the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device owned by a user (e.g., a mobile phone, a robot, a home appliance, etc.). Next, an example of processing by the data processing system 10 according to the first embodiment will be described.

[0028] (Example 1) The regional revitalization system according to the embodiment of the present invention is a system that promotes consumption by local residents, maintains stores, and contributes to the local community. As a result, the regional revitalization system promotes consumption by local residents, maintains stores, and contributes to the local community.

[0029] A regional revitalization system according to an embodiment includes a consumption promotion unit, a store maintenance unit, and a community contribution unit. The consumption promotion unit promotes consumption by local residents. For example, the consumption promotion unit introduces a system that awards points for shopping and using services within the local area. The consumption promotion unit can also promote the idea that consumption within the local area contributes to the local area, thereby raising local residents' awareness of consumption. The consumption promotion unit can also implement discount campaigns for consumption at stores within the local area. The store maintenance unit supports store maintenance based on the consumption promoted by the consumption promotion unit. For example, the store maintenance unit can hold events to introduce success stories of stores within the local area and promote business opportunities in the local area to outside companies and individuals. The store maintenance unit can also support new entrants in the business by creating business plans tailored to the characteristics and needs of the local area. The store maintenance unit can also hold events in cooperation with stores within the local area to attract local residents and tourists. The community contribution unit uses a portion of sales from stores maintained by the store maintenance unit to contribute to the local area. For example, the Community Contribution Department will contribute to local needs by paying PTA membership fees, children's membership fees, and making donations to orphanages. Furthermore, by outsourcing the maintenance of the association, which is run by volunteer labor from local residents, the Community Contribution Department can reduce the burden on local residents while revitalizing the local economy and reducing the loss of consumption opportunities. The Community Contribution Department can also issue coupons that can be used within the community to residents who participate in community contribution activities. In this way, the Regional Revitalization System can encourage consumption by local residents, maintain stores, and contribute to the community.

[0030] The consumption promotion department can use generation AI to analyze the consumption patterns of local residents and automatically generate individually customized consumption promotion campaigns. For example, the consumption promotion department can use generation AI to analyze local residents' past purchasing history and behavioral data and automatically generate individually customized coupons and discount campaigns. For example, it can offer personalized discounts for stores and products frequently visited by specific residents. The consumption promotion department can also monitor local residents' consumption patterns in real time and automatically generate promotions tailored to specific times of day or days of the week. For example, it can offer discounts limited to specific times of day to housewives who shop during the day on weekdays. The consumption promotion department can also use generation AI to analyze local residents' consumption trends and automatically generate campaigns tailored to seasons and events. For example, it can offer special promotions tailored to events such as summer festivals and Christmas. This enables effective consumption promotion based on local residents' consumption patterns.

[0031] The Consumption Promotion Department can issue blockchain-based tokens for purchases made at local stores, making the tokens exchangeable for other services and products within the area. For example, the Consumption Promotion Department can issue blockchain-based digital tokens for purchases made at local stores, making the tokens usable at other stores and services within the area. For example, tokens can be issued for purchases at restaurants, and the tokens can be used at beauty salons and movie theaters. The Consumption Promotion Department can also use blockchain technology to transparently and securely manage consumption transactions within the area and build a system to track the issuance and use of tokens. For example, smart contracts can be used to automate the issuance and use of tokens. The Consumption Promotion Department can also introduce a mechanism that allows tokens issued for purchases made within the area to be donated to specific events or projects within the area. For example, tokens can be donated to local festivals or school fundraising projects. This can promote consumption within the area and realize economic circulation within the area through tokens.

[0032] The consumer promotion department develops a local exploration game using AR technology to promote consumer behavior within the game. For example, the consumer promotion department develops a local exploration game using AR technology to tour local stores and tourist spots, promoting consumer behavior within the game. For example, by shopping at specific stores, consumers can accumulate points in the game and exchange them for prizes. The consumer promotion department also develops a game that displays local stores and tourist spots using AR technology and allows consumers to explore using their smartphones. For example, by shopping at specific stores, consumers can obtain special items in the game. The consumer promotion department also develops a stamp rally-style game using AR technology to tour local stores and tourist spots, promoting consumer behavior. For example, by shopping at specific stores, consumers can accumulate stamps, and by collecting all the stamps, they can receive a special gift. In this way, AR technology can be used to promote consumer behavior within the region.

[0033] The consumer promotion department can encourage consumer behavior by holding storytelling events related to the history and culture of the region. For example, the consumer promotion department can encourage consumer behavior at local stores by holding storytelling events related to the history and culture of the region. For example, stories about local traditional crafts and specialty products can be introduced to increase motivation to purchase those products. The consumer promotion department can also plan tours of local stores and tourist spots through storytelling events related to the history and culture of the region. For example, a tour of local historical buildings and famous places can be held, encouraging consumer behavior at local stores along the way. The consumer promotion department can also distribute storytelling events related to the history and culture of the region online to encourage consumer behavior at local stores. For example, products introduced in online events can be made available for purchase at local stores. This makes it possible to encourage consumer behavior by utilizing the history and culture of the region.

[0034] The store maintenance department can use generative AI to automatically collect and analyze success stories of local stores and generate optimal PR strategies. For example, the store maintenance department could use generative AI to build a system that automatically collects and analyzes success stories of local stores. For example, it could identify success factors based on sales data and customer reviews and generate a PR strategy. The store maintenance department could also collect success stories of local stores, and the generative AI could use that data to propose optimal PR strategies. For example, it could extract commonalities between success stories and implement PR campaigns based on those commonalities. The store maintenance department could also use generative AI to analyze success stories of local stores and develop a system that automatically generates optimal PR strategies. For example, it could create PR messages tailored to target customer demographics based on data from success stories. This makes it possible to generate effective PR strategies based on success stories of local stores.

[0035] The store maintenance department can build a system that monitors the maintenance status of stores in the area in real time and immediately proposes countermeasures when a problem occurs. For example, the store maintenance department can monitor sales data and customer feedback of stores in the area in real time and build a system that immediately proposes countermeasures when a problem occurs. For example, it can propose a promotional campaign to a store where sales have dropped. The store maintenance department can also develop a system that monitors store inventory status and staff work status in real time and immediately proposes countermeasures when a problem occurs. For example, it can propose replenishment to stores that are low in stock. The store maintenance department can also build a system that monitors customer satisfaction of stores in the area in real time and immediately proposes countermeasures when a problem occurs. For example, it can propose service improvements to stores where customer satisfaction has dropped. This makes it possible to grasp the maintenance status of stores in real time and quickly propose countermeasures.

[0036] The store maintenance department can hold cooking classes and workshops using ingredients and products unique to the region. For example, the store maintenance department can regularly hold cooking classes using ingredients and products unique to the region to convey the charm of the region to local residents and tourists. For example, the store maintenance department can hold cooking classes using local agricultural products to increase motivation to purchase those ingredients. The store maintenance department can also hold workshops using products unique to the region to introduce the traditional techniques and culture of the region to local residents and tourists. For example, the store maintenance department can hold workshops to make local crafts to increase motivation to purchase those products. The store maintenance department can also broadcast cooking classes and workshops using ingredients and products unique to the region online to convey the charm of the region to people outside the region. For example, the store maintenance department can hold local cooking classes online and make the ingredients available for purchase by mail order. In this way, the charm of the region can be conveyed using ingredients and products unique to the region.

[0037] The store maintenance department can develop ecotourism programs that make use of the region's characteristics. For example, the store maintenance department can develop ecotourism programs that make use of the region's natural environment and culture and offer them to local residents and tourists. For example, the store maintenance department can plan ecotours around local nature reserves and encourage spending at local stores along the way. The store maintenance department can also develop ecotourism programs that make use of the region's characteristics and provide opportunities to participate in local environmental conservation activities. For example, the store maintenance department can plan ecotours that involve participating in local cleanup activities and tree planting activities. The store maintenance department can also introduce ecotourism programs that make use of the region's characteristics online to convey the region's appeal to people outside the region. For example, the store maintenance department can introduce the region's natural environment and culture online to increase motivation to visit the region. In this way, ecotourism can be promoted by making use of the region's characteristics.

[0038] The Community Contribution Department can use generative AI to build a system that automatically evaluates the effectiveness of community contribution activities and suggests the most appropriate recipients. For example, the Community Contribution Department can use generative AI to automatically evaluate sales data from local stores and the effectiveness of community contribution activities, and build a system that suggests the most appropriate recipients. For example, a portion of sales can be donated to the most effective community contribution activities. The Community Contribution Department can also develop a system in which generative AI analyzes local needs and the results of contribution activities to automatically evaluate the effectiveness of community contribution activities. For example, it can evaluate the effectiveness of local educational support and environmental protection activities. The Community Contribution Department can also use generative AI to build a system that monitors the effectiveness of community contribution activities in real time and suggests the most appropriate recipients. For example, it can automatically update the optimal recipients whenever local needs change. This makes it possible to evaluate the effectiveness of community contribution activities and suggest the most appropriate recipients.

[0039] The Community Contribution Department can analyze sales data from local stores and develop an algorithm that optimizes the allocation of funds for community contribution activities. For example, the Community Contribution Department can analyze sales data from local stores and develop an algorithm that optimizes the allocation of funds for community contribution activities. For example, it can allocate a portion of sales to the most effective community contribution activities. The Community Contribution Department can also build a system that performs simulations to optimize the allocation of funds for community contribution activities based on sales data. For example, it can try different scenarios to find the optimal allocation of funds. The Community Contribution Department can also analyze sales data from local stores in real time and develop an algorithm that dynamically optimizes the allocation of funds for community contribution activities. For example, it can allocate additional funds to community contribution activities if sales increase. This makes it possible to optimize the allocation of funds based on the sales data of local stores.

[0040] The Community Contribution Club can work with local artists and creators to implement community contribution projects. For example, the Community Contribution Club could work with local artists and creators to implement community contribution projects. For example, the Club could plan a local mural project or art event, and use the proceeds for community contribution activities. The Community Contribution Club could also work with local artists and creators to implement projects using local specialties and crafts. For example, the Club could create artwork using local materials and donate the proceeds from its sales to community contribution activities. The Community Contribution Club could also work with local artists and creators to implement projects themed around local history and culture. For example, the Club could create artwork based on local traditional events and festivals, and use the proceeds for community contribution activities. This allows the Club to implement community contribution projects in collaboration with local artists and creators.

[0041] The Community Contribution Department can develop educational support programs in collaboration with local schools and educational institutions. The Community Contribution Department can, for example, develop educational support programs in collaboration with local schools and educational institutions. For example, a workshop can be held to learn about local specialties or history, and the proceeds can be used to support education. The Community Contribution Department can also work with local schools and educational institutions to develop scholarship programs for local children. For example, a portion of sales at local stores can be provided as scholarships to support local education. The Community Contribution Department can also work with local schools and educational institutions to develop career education programs for local children. For example, an internship program can be provided at local companies or stores, and the proceeds can be used to support education. In this way, it is possible to develop educational support programs in collaboration with local schools and educational institutions.

[0042] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0043] The Consumer Promotion Department can also monitor the health status of local residents and implement health promotion campaigns. For example, it can collect data on the number of steps taken by local residents and provide coupons that can be used at local stores to residents who achieve a certain number of steps. The Consumer Promotion Department can also provide rewards to residents who participate in local health events or fitness programs. Furthermore, the Consumer Promotion Department can analyze the health data of local residents and propose personalized health promotion plans based on their health status. This can promote consumption within the community while promoting the health of local residents.

[0044] The Consumption Promotion Department can also offer local specialties and crafts as prizes for purchases at local stores. For example, a campaign can be held in which local specialties are given as gifts to residents who spend a certain amount or more. The Consumption Promotion Department can also hold workshops using local crafts and provide participants with coupons that can be used at local stores. Furthermore, the Consumption Promotion Department can hold events themed around local specialties and crafts and promote consumption at those events. This makes it possible to promote consumption within the region by utilizing local specialties and crafts.

[0045] The consumption promotion department can also offer discount coupons for local tourist spots and activities in exchange for spending at local stores. For example, a campaign can be run in which residents who spend a certain amount or more receive discounted admission tickets to local tourist spots. The consumption promotion department can also offer coupons that can be used at local stores to residents who participate in local activities. Furthermore, the consumption promotion department can hold events themed around local tourist spots and activities to promote spending at those events. This makes it possible to promote consumption within the region by utilizing local tourist spots and activities.

[0046] The consumption promotion department can also offer tickets to local sporting events or concerts in exchange for spending at local stores. For example, a campaign can be run in which residents who spend more than a certain amount receive tickets to a local sporting event. The consumption promotion department can also offer coupons that can be used at local stores to residents who attend a local concert. Furthermore, the consumption promotion department can hold events themed around local sporting events or concerts to promote spending at those events. In this way, local consumption can be promoted by utilizing local sporting events and concerts.

[0047] The consumer promotion department can also offer vouchers for local educational institutions and cultural facilities in exchange for spending at local stores. For example, a campaign can be run to give vouchers for local libraries and museums to residents who spend over a certain amount. The consumer promotion department can also offer coupons that can be used at local stores to residents who visit local educational institutions and cultural facilities. Furthermore, the consumer promotion department can hold events themed around local educational institutions and cultural facilities to promote spending at those events. This makes it possible to promote consumption within the community by utilizing local educational institutions and cultural facilities.

[0048] The Consumption Promotion Department can also offer tickets to participate in local volunteer activities or social contribution activities in exchange for spending at local stores. For example, a campaign can be run in which residents who spend more than a certain amount receive tickets to participate in local cleanup activities or tree planting activities. The Consumption Promotion Department can also offer coupons that can be used at local stores to residents who participate in local volunteer activities or social contribution activities. Furthermore, the Consumption Promotion Department can hold events themed around local volunteer activities or social contribution activities and promote spending at those events. In this way, local volunteer activities and social contribution activities can be used to promote consumption within the community.

[0049] The consumption promotion department can also offer vouchers for local sports clubs and fitness gyms in exchange for spending at local stores. For example, a campaign can be run in which residents who spend a certain amount or more receive vouchers for local sports clubs. The consumption promotion department can also offer coupons that can be used at local stores to residents who join local fitness gyms. Furthermore, the consumption promotion department can hold events themed around local sports clubs and fitness gyms to promote spending at those events. This makes it possible to promote consumption within the community by utilizing local sports clubs and fitness gyms.

[0050] The processing flow of the first embodiment will be briefly explained below.

[0051] Step 1: The Consumption Promotion Department will promote consumption among local residents. For example, they could introduce a system that awards points for shopping and using services within the area. They could also promote the idea that consumption within the area contributes to the community, raising local residents' awareness of consumption. They could also implement discount campaigns for purchases at local stores. Step 2: The Store Maintenance Department supports store maintenance based on the consumption promoted by the Consumption Promotion Department. For example, they hold events to showcase successful cases of local stores and promote business opportunities in the region to outside companies and individuals. They can also help new entrants create business plans tailored to the characteristics and needs of the region. Furthermore, stores in the region can cooperate to hold events to attract local residents and tourists. Step 3: The Community Contribution Department uses a portion of the sales from the stores maintained by the Store Maintenance Department to contribute to the community. For example, they carry out contribution activities in response to local needs, such as PTA membership fees, children's membership fees, and donations to child welfare facilities. In addition, by outsourcing the forced maintenance committee, which is run by volunteer labor from local residents, the burden on local residents can be reduced while revitalizing the local economy and reducing the loss of consumption opportunities. Furthermore, residents who participate in community contribution activities can be issued coupons that can be used within the community.

[0052] (Example 2) The regional revitalization system according to the embodiment of the present invention is a system that promotes consumption by local residents, maintains stores, and contributes to the local community. As a result, the regional revitalization system promotes consumption by local residents, maintains stores, and contributes to the local community.

[0053] A regional revitalization system according to an embodiment includes a consumption promotion unit, a store maintenance unit, and a community contribution unit. The consumption promotion unit promotes consumption by local residents. For example, the consumption promotion unit introduces a system that awards points for shopping and using services within the local area. The consumption promotion unit can also promote the idea that consumption within the local area contributes to the local area, thereby raising local residents' awareness of consumption. The consumption promotion unit can also implement discount campaigns for consumption at stores within the local area. The store maintenance unit supports store maintenance based on the consumption promoted by the consumption promotion unit. For example, the store maintenance unit can hold events to introduce success stories of stores within the local area and promote business opportunities in the local area to outside companies and individuals. The store maintenance unit can also support new entrants in the business by creating business plans tailored to the characteristics and needs of the local area. The store maintenance unit can also hold events in cooperation with stores within the local area to attract local residents and tourists. The community contribution unit uses a portion of sales from stores maintained by the store maintenance unit to contribute to the local area. For example, the Community Contribution Department will contribute to local needs by paying PTA membership fees, children's membership fees, and making donations to orphanages. Furthermore, by outsourcing the maintenance of the association, which is run by volunteer labor from local residents, the Community Contribution Department can reduce the burden on local residents while revitalizing the local economy and reducing the loss of consumption opportunities. The Community Contribution Department can also issue coupons that can be used within the community to residents who participate in community contribution activities. In this way, the Regional Revitalization System can encourage consumption by local residents, maintain stores, and contribute to the community.

[0054] The consumption promotion department can use generation AI to analyze the consumption patterns of local residents and automatically generate individually customized consumption promotion campaigns. For example, the consumption promotion department can use generation AI to analyze local residents' past purchasing history and behavioral data and automatically generate individually customized coupons and discount campaigns. For example, it can offer personalized discounts for stores and products frequently visited by specific residents. The consumption promotion department can also monitor local residents' consumption patterns in real time and automatically generate promotions tailored to specific times of day or days of the week. For example, it can offer discounts limited to specific times of day to housewives who shop during the day on weekdays. The consumption promotion department can also use generation AI to analyze local residents' consumption trends and automatically generate campaigns tailored to seasons and events. For example, it can offer special promotions tailored to events such as summer festivals and Christmas. This enables effective consumption promotion based on local residents' consumption patterns.

[0055] The Consumption Promotion Department can issue blockchain-based tokens for purchases made at local stores, making the tokens exchangeable for other services and products within the area. For example, the Consumption Promotion Department can issue blockchain-based digital tokens for purchases made at local stores, making the tokens usable at other stores and services within the area. For example, tokens can be issued for purchases at restaurants, and the tokens can be used at beauty salons and movie theaters. The Consumption Promotion Department can also use blockchain technology to transparently and securely manage consumption transactions within the area and build a system to track the issuance and use of tokens. For example, smart contracts can be used to automate the issuance and use of tokens. The Consumption Promotion Department can also introduce a mechanism that allows tokens issued for purchases made within the area to be donated to specific events or projects within the area. For example, tokens can be donated to local festivals or school fundraising projects. This can promote consumption within the area and realize economic circulation within the area through tokens.

[0056] The consumption promotion unit can use the emotion estimation function to analyze the emotional state of a consumer in real time and implement promotions to elicit positive emotions. For example, the consumption promotion unit can use the emotion estimation function to analyze the facial expressions and voice of a consumer in real time and implement promotions to elicit positive emotions. For example, it can offer a special discount when a consumer is smiling. The consumption promotion unit can also monitor the emotional state of a consumer in real time and provide messages or services to elicit positive emotions to consumers who have negative emotions. For example, it can suggest relaxation services to consumers who are feeling stressed. The consumption promotion unit can also analyze the emotional data of a consumer using the emotion estimation function and formulate promotion strategies to elicit positive emotions. For example, it can implement promotions that use specific music or scents to enhance the consumer's emotions. This makes it possible to implement effective promotions based on the consumer's emotions.

[0057] The consumer promotion department develops a local exploration game using AR technology to promote consumer behavior within the game. For example, the consumer promotion department develops a local exploration game using AR technology to tour local stores and tourist spots, promoting consumer behavior within the game. For example, by shopping at specific stores, consumers can accumulate points in the game and exchange them for prizes. The consumer promotion department also develops a game that displays local stores and tourist spots using AR technology and allows consumers to explore using their smartphones. For example, by shopping at specific stores, consumers can obtain special items in the game. The consumer promotion department also develops a stamp rally-style game using AR technology to tour local stores and tourist spots, promoting consumer behavior. For example, by shopping at specific stores, consumers can accumulate stamps, and by collecting all the stamps, they can receive a special gift. In this way, AR technology can be used to promote consumer behavior within the region.

[0058] The consumer promotion department can encourage consumer behavior by holding storytelling events related to the history and culture of the region. For example, the consumer promotion department can encourage consumer behavior at local stores by holding storytelling events related to the history and culture of the region. For example, stories about local traditional crafts and specialty products can be introduced to increase motivation to purchase those products. The consumer promotion department can also plan tours of local stores and tourist spots through storytelling events related to the history and culture of the region. For example, a tour of local historical buildings and famous places can be held, encouraging consumer behavior at local stores along the way. The consumer promotion department can also distribute storytelling events related to the history and culture of the region online to encourage consumer behavior at local stores. For example, products introduced in online events can be made available for purchase at local stores. This makes it possible to encourage consumer behavior by utilizing the history and culture of the region.

[0059] The consumption promotion department can use the emotion estimation function to analyze the emotions of local residents when they engage in consumption behavior and propose consumption promotion measures based on their emotions. For example, the consumption promotion department can use the emotion estimation function to analyze the emotions of local residents when they engage in consumption behavior in real time and propose consumption promotion measures to elicit positive emotions. For example, it can offer special discounts when consumers are having fun. The consumption promotion department also collects emotional data accompanying the consumption behavior of local residents and formulates consumption promotion measures based on their emotions. For example, it can propose relaxation services when consumers are relaxing. The consumption promotion department can also use the emotion estimation function to analyze emotional fluctuations in the consumption behavior of local residents and implement promotions based on their emotions. For example, it can provide services that allow consumers to refresh when they are feeling stressed. This makes it possible to propose effective consumption promotion measures based on the emotions of local residents.

[0060] The store maintenance department can use generative AI to automatically collect and analyze success stories of local stores and generate optimal PR strategies. For example, the store maintenance department could use generative AI to build a system that automatically collects and analyzes success stories of local stores. For example, it could identify success factors based on sales data and customer reviews and generate a PR strategy. The store maintenance department could also collect success stories of local stores, and the generative AI could use that data to propose optimal PR strategies. For example, it could extract commonalities between success stories and implement PR campaigns based on those commonalities. The store maintenance department could also use generative AI to analyze success stories of local stores and develop a system that automatically generates optimal PR strategies. For example, it could create PR messages tailored to target customer demographics based on data from success stories. This makes it possible to generate effective PR strategies based on success stories of local stores.

[0061] The store maintenance department can build a system that monitors the maintenance status of stores in the area in real time and immediately proposes countermeasures when a problem occurs. For example, the store maintenance department can monitor sales data and customer feedback of stores in the area in real time and build a system that immediately proposes countermeasures when a problem occurs. For example, it can propose a promotional campaign to a store where sales have dropped. The store maintenance department can also develop a system that monitors store inventory status and staff work status in real time and immediately proposes countermeasures when a problem occurs. For example, it can propose replenishment to stores that are low in stock. The store maintenance department can also build a system that monitors customer satisfaction of stores in the area in real time and immediately proposes countermeasures when a problem occurs. For example, it can propose service improvements to stores where customer satisfaction has dropped. This makes it possible to grasp the maintenance status of stores in real time and quickly propose countermeasures.

[0062] The store maintenance department can use the emotion estimation function to analyze the emotions of local residents and new entrants and formulate a PR strategy based on those emotions. For example, the store maintenance department can use the emotion estimation function to analyze the emotions of local residents and new entrants in real time and formulate a PR strategy to elicit positive emotions. For example, it can plan events that will bring joy to local residents. The store maintenance department can also collect emotional data from local residents and new entrants and formulate a PR strategy based on those emotions. For example, it can launch a PR campaign centered on themes with high emotion scores. The store maintenance department can also use the emotion estimation function to analyze fluctuations in the emotions of local residents and new entrants and formulate a PR strategy based on those emotions. For example, it can carry out PR activities tailored to seasons and events when emotions are high. This makes it possible to formulate an effective PR strategy based on the emotions of local residents and new entrants.

[0063] The store maintenance department can hold cooking classes and workshops using ingredients and products unique to the region. For example, the store maintenance department can regularly hold cooking classes using ingredients and products unique to the region to convey the charm of the region to local residents and tourists. For example, the store maintenance department can hold cooking classes using local agricultural products to increase motivation to purchase those ingredients. The store maintenance department can also hold workshops using products unique to the region to introduce the traditional techniques and culture of the region to local residents and tourists. For example, the store maintenance department can hold workshops to make local crafts to increase motivation to purchase those products. The store maintenance department can also broadcast cooking classes and workshops using ingredients and products unique to the region online to convey the charm of the region to people outside the region. For example, the store maintenance department can hold local cooking classes online and make the ingredients available for purchase by mail order. In this way, the charm of the region can be conveyed using ingredients and products unique to the region.

[0064] The store maintenance department can develop ecotourism programs that make use of the region's characteristics. For example, the store maintenance department can develop ecotourism programs that make use of the region's natural environment and culture and offer them to local residents and tourists. For example, the store maintenance department can plan ecotours around local nature reserves and encourage spending at local stores along the way. The store maintenance department can also develop ecotourism programs that make use of the region's characteristics and provide opportunities to participate in local environmental conservation activities. For example, the store maintenance department can plan ecotours that involve participating in local cleanup activities and tree planting activities. The store maintenance department can also introduce ecotourism programs that make use of the region's characteristics online to convey the region's appeal to people outside the region. For example, the store maintenance department can introduce the region's natural environment and culture online to increase motivation to visit the region. In this way, ecotourism can be promoted by making use of the region's characteristics.

[0065] The store maintenance department can use the emotion estimation function to analyze the emotions of local residents and new entrants and propose new entrant support measures based on their emotions. For example, the store maintenance department can use the emotion estimation function to analyze the emotions of local residents and new entrants in real time and propose new entrant support measures to elicit positive emotions. For example, the store maintenance department can provide support to new entrants so that they can start their business with confidence. The store maintenance department can also collect emotional data from local residents and new entrants and formulate new entrant support measures based on their emotions. For example, it can hold seminars and workshops for new entrants focusing on themes with high emotion scores. The store maintenance department can also use the emotion estimation function to analyze fluctuations in the emotions of local residents and new entrants and propose new entrant support measures based on their emotions. For example, it can conduct new entrant support activities tailored to seasons or events when emotions are high. This makes it possible to propose effective new entrant support measures based on the emotions of local residents and new entrants.

[0066] The Community Contribution Department can use generative AI to build a system that automatically evaluates the effectiveness of community contribution activities and suggests the most appropriate recipients. For example, the Community Contribution Department can use generative AI to automatically evaluate sales data from local stores and the effectiveness of community contribution activities, and build a system that suggests the most appropriate recipients. For example, a portion of sales can be donated to the most effective community contribution activities. The Community Contribution Department can also develop a system in which generative AI analyzes local needs and the results of contribution activities to automatically evaluate the effectiveness of community contribution activities. For example, it can evaluate the effectiveness of local educational support and environmental protection activities. The Community Contribution Department can also use generative AI to build a system that monitors the effectiveness of community contribution activities in real time and suggests the most appropriate recipients. For example, it can automatically update the optimal recipients whenever local needs change. This makes it possible to evaluate the effectiveness of community contribution activities and suggest the most appropriate recipients.

[0067] The Community Contribution Department can analyze sales data from local stores and develop an algorithm that optimizes the allocation of funds for community contribution activities. For example, the Community Contribution Department can analyze sales data from local stores and develop an algorithm that optimizes the allocation of funds for community contribution activities. For example, it can allocate a portion of sales to the most effective community contribution activities. The Community Contribution Department can also build a system that performs simulations to optimize the allocation of funds for community contribution activities based on sales data. For example, it can try different scenarios to find the optimal allocation of funds. The Community Contribution Department can also analyze sales data from local stores in real time and develop an algorithm that dynamically optimizes the allocation of funds for community contribution activities. For example, it can allocate additional funds to community contribution activities if sales increase. This makes it possible to optimize the allocation of funds based on the sales data of local stores.

[0068] The Community Contribution Department can use the emotion estimation function to analyze the emotions of local residents and propose community contribution activities based on their emotions. For example, the Community Contribution Department can use the emotion estimation function to analyze the emotions of local residents in real time and propose community contribution activities that will elicit positive emotions. For example, it can plan events or projects that will bring joy to local residents. The Community Contribution Department can also collect emotion data from local residents and formulate community contribution activities based on their emotions. For example, it can develop community contribution activities centered on themes with high emotion scores. The Community Contribution Department can also use the emotion estimation function to analyze fluctuations in the emotions of local residents and propose community contribution activities based on their emotions. For example, it can carry out community contribution activities that coincide with seasons or events when emotions are high. This makes it possible to propose effective community contribution activities based on the emotions of local residents.

[0069] The Community Contribution Club can work with local artists and creators to implement community contribution projects. For example, the Community Contribution Club could work with local artists and creators to implement community contribution projects. For example, the Club could plan a local mural project or art event, and use the proceeds for community contribution activities. The Community Contribution Club could also work with local artists and creators to implement projects using local specialties and crafts. For example, the Club could create artwork using local materials and donate the proceeds from its sales to community contribution activities. The Community Contribution Club could also work with local artists and creators to implement projects themed around local history and culture. For example, the Club could create artwork based on local traditional events and festivals, and use the proceeds for community contribution activities. This allows the Club to implement community contribution projects in collaboration with local artists and creators.

[0070] The Community Contribution Department can develop educational support programs in collaboration with local schools and educational institutions. The Community Contribution Department can, for example, develop educational support programs in collaboration with local schools and educational institutions. For example, a workshop can be held to learn about local specialties or history, and the proceeds can be used to support education. The Community Contribution Department can also work with local schools and educational institutions to develop scholarship programs for local children. For example, a portion of sales at local stores can be provided as scholarships to support local education. The Community Contribution Department can also work with local schools and educational institutions to develop career education programs for local children. For example, an internship program can be provided at local companies or stores, and the proceeds can be used to support education. In this way, it is possible to develop educational support programs in collaboration with local schools and educational institutions.

[0071] The Community Contribution Department can use the emotion estimation function to analyze the emotions of local residents and propose community contribution activities based on their emotions. For example, the Community Contribution Department can use the emotion estimation function to analyze the emotions of local residents in real time and propose community contribution activities that will elicit positive emotions. For example, it can plan events or projects that will bring joy to local residents. The Community Contribution Department can also collect emotion data from local residents and formulate community contribution activities based on their emotions. For example, it can develop community contribution activities centered on themes with high emotion scores. The Community Contribution Department can also use the emotion estimation function to analyze fluctuations in the emotions of local residents and propose community contribution activities based on their emotions. For example, it can carry out community contribution activities that coincide with seasons or events when emotions are high. This makes it possible to propose effective community contribution activities based on the emotions of local residents.

[0072] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0073] The Consumer Promotion Department can also monitor the health status of local residents and implement health promotion campaigns. For example, it can collect data on the number of steps taken by local residents and provide coupons that can be used at local stores to residents who achieve a certain number of steps. The Consumer Promotion Department can also provide rewards to residents who participate in local health events or fitness programs. Furthermore, the Consumer Promotion Department can analyze the health data of local residents and propose personalized health promotion plans based on their health status. This can promote consumption within the community while promoting the health of local residents.

[0074] The Consumption Promotion Department can also offer local specialties and crafts as prizes for purchases at local stores. For example, a campaign can be held in which local specialties are given as gifts to residents who spend a certain amount or more. The Consumption Promotion Department can also hold workshops using local crafts and provide participants with coupons that can be used at local stores. Furthermore, the Consumption Promotion Department can hold events themed around local specialties and crafts and promote consumption at those events. This makes it possible to promote consumption within the region by utilizing local specialties and crafts.

[0075] The consumption promotion department can also offer discount coupons for local tourist spots and activities in exchange for spending at local stores. For example, a campaign can be run in which residents who spend a certain amount or more receive discounted admission tickets to local tourist spots. The consumption promotion department can also offer coupons that can be used at local stores to residents who participate in local activities. Furthermore, the consumption promotion department can hold events themed around local tourist spots and activities to promote spending at those events. This makes it possible to promote consumption within the region by utilizing local tourist spots and activities.

[0076] The consumption promotion unit can also use the emotion estimation function to analyze the emotional state of the consumer and provide music and videos based on the emotion. For example, relaxing music can be provided when the consumer is relaxing. The consumption promotion unit can also provide specific video content according to the consumer's emotional state. For example, enjoyable videos can be provided when the consumer is having fun. Furthermore, the consumption promotion unit can also use the emotion estimation function to analyze the consumer's emotional data and formulate a promotion strategy based on the emotion. This allows for effective promotions to be implemented based on the consumer's emotions.

[0077] The consumption promotion department can also offer tickets to local sporting events or concerts in exchange for spending at local stores. For example, a campaign can be run in which residents who spend more than a certain amount receive tickets to a local sporting event. The consumption promotion department can also offer coupons that can be used at local stores to residents who attend a local concert. Furthermore, the consumption promotion department can hold events themed around local sporting events or concerts to promote spending at those events. In this way, local consumption can be promoted by utilizing local sporting events and concerts.

[0078] The consumer promotion department can also offer vouchers for local educational institutions and cultural facilities in exchange for spending at local stores. For example, a campaign can be run to give vouchers for local libraries and museums to residents who spend over a certain amount. The consumer promotion department can also offer coupons that can be used at local stores to residents who visit local educational institutions and cultural facilities. Furthermore, the consumer promotion department can hold events themed around local educational institutions and cultural facilities to promote spending at those events. This makes it possible to promote consumption within the community by utilizing local educational institutions and cultural facilities.

[0079] The consumption promotion unit can also use the emotion estimation function to analyze the consumer's emotional state and provide a personalized message based on the emotion. For example, a congratulatory message can be provided when the consumer is happy. The consumption promotion unit can also provide a specific message depending on the consumer's emotional state. For example, an encouraging message can be provided when the consumer is tired. Furthermore, the consumption promotion unit can also use the emotion estimation function to analyze the consumer's emotional data and formulate a promotion strategy based on the emotion. This allows for effective promotions to be implemented based on the consumer's emotions.

[0080] The Consumption Promotion Department can also offer tickets to participate in local volunteer activities or social contribution activities in exchange for spending at local stores. For example, a campaign can be run in which residents who spend more than a certain amount receive tickets to participate in local cleanup activities or tree planting activities. The Consumption Promotion Department can also offer coupons that can be used at local stores to residents who participate in local volunteer activities or social contribution activities. Furthermore, the Consumption Promotion Department can hold events themed around local volunteer activities or social contribution activities and promote spending at those events. In this way, local volunteer activities and social contribution activities can be used to promote consumption within the community.

[0081] The consumption promotion unit can also use the emotion estimation function to analyze the emotional state of the consumer and provide feedback based on the emotion. For example, positive feedback can be provided when the consumer is satisfied. The consumption promotion unit can also provide specific feedback depending on the consumer's emotional state. For example, suggestions for improvement can be provided when the consumer is dissatisfied. Furthermore, the consumption promotion unit can also use the emotion estimation function to analyze consumer emotion data and formulate emotion-based promotion strategies. This makes it possible to implement effective promotions based on consumer emotions.

[0082] The consumption promotion department can also offer vouchers for local sports clubs and fitness gyms in exchange for spending at local stores. For example, a campaign can be run in which residents who spend a certain amount or more receive vouchers for local sports clubs. The consumption promotion department can also offer coupons that can be used at local stores to residents who join local fitness gyms. Furthermore, the consumption promotion department can hold events themed around local sports clubs and fitness gyms to promote spending at those events. This makes it possible to promote consumption within the community by utilizing local sports clubs and fitness gyms.

[0083] The processing flow of the second embodiment will be briefly explained below.

[0084] Step 1: The Consumption Promotion Department will promote consumption among local residents. For example, they could introduce a system that awards points for shopping and using services within the area. They could also promote the idea that consumption within the area contributes to the community, raising local residents' awareness of consumption. They could also implement discount campaigns for purchases at local stores. Step 2: The Store Maintenance Department supports store maintenance based on the consumption promoted by the Consumption Promotion Department. For example, they hold events to showcase successful cases of local stores and promote business opportunities in the region to outside companies and individuals. They can also help new entrants create business plans tailored to the characteristics and needs of the region. Furthermore, stores in the region can cooperate to hold events to attract local residents and tourists. Step 3: The Community Contribution Department uses a portion of the sales from the stores maintained by the Store Maintenance Department to contribute to the community. For example, they carry out contribution activities in response to local needs, such as PTA membership fees, children's membership fees, and donations to child welfare facilities. In addition, by outsourcing the forced maintenance committee, which is run by volunteer labor from local residents, the burden on local residents can be reduced while revitalizing the local economy and reducing the loss of consumption opportunities. Furthermore, residents who participate in community contribution activities can be issued coupons that can be used within the community.

[0085] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0086] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> Examples of generative AIs include the data generation model 58, such as a neural network model (e.g., a neural network model), and a neural network model (e.g., a neural network model). The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating speech, text data indicating text, and image data indicating an image is also input to the data generation model 58. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specification processing unit 290 performs the above-mentioned specification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0087] Furthermore, the processing by the data processing system 10 described above is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart device 14, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart device 14. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information necessary for processing from the smart device 14 or an external device, and the smart device 14 acquires or collects information necessary for processing from the data processing device 12 or an external device.

[0088] [Second embodiment] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0089] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0090] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN and / or a LAN.

[0091] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0092] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0093] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0094] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0095] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0096] The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0097] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0098] In the smart glasses 214, the specific processing is performed by the processor 46. A specific processing program 60 is stored in the storage 50. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. The smart glasses 214 also have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can perform processing similar to that of the specific processing unit 290 using these models.

[0099] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0100] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0101] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0102] The data processing system 210 according to the second embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 210 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart glasses 214, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart glasses 214. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the smart glasses 214 or an external device, etc., and the smart glasses 214 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0103] [Third embodiment] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0104] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0105] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN and / or a LAN.

[0106] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0107] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0108] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0109] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0110] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0111] The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0112] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0113] In the headset type terminal 314, the specific processing is performed by the processor 46. A specific processing program 60 is stored in the storage 50. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. Note that the headset type terminal 314 has a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can also perform processing similar to that of the specific processing unit 290 using these models.

[0114] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0115] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0116] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0117] The data processing system 310 according to the third embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 310 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the headset type terminal 314, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the headset type terminal 314. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the headset type terminal 314 or an external device, etc., and the headset type terminal 314 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0118] [Fourth embodiment] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0119] 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0120] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN and / or a LAN.

[0121] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[0122] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0123] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS image sensor or a CCD image sensor, and captures images of the user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0124] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0125] The control object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[0126] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0127] The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0128] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0129] In the robot 414, the specific processing is performed by the processor 46. A specific processing program 60 is stored in the storage 50. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. The robot 414 has a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can also perform processing similar to that of the specific processing unit 290 using these models.

[0130] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0131] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[0132] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0133] The data processing system 410 according to the fourth embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 410 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the robot 414, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the robot 414. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the robot 414 or an external device, etc., and the robot 414 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0134] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0135] FIG. 9 illustrates an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and behaviors arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion encompasses both emotions and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[0136] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[0137] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[0138] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is expressed, and when they approach the ideal, a state of pleasure is expressed. Emotions can also be created for robots, cars, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is expressed, and when they approach the ideal, a state of pleasure is expressed. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on speech emotion recognition and brain physiological signal analysis systems for emotions, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the area called "reaction," where sensation is dominant. The right half of the emotion map lists emotions belonging to the area called "situation," where situational awareness is dominant.

[0139] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[0140] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[0141] In the above embodiment, an example was given in which a specific process is performed by one computer 22, but the technology disclosed herein is not limited to this, and distributed processing of the specific process may be performed by multiple computers including computer 22.

[0142] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[0143] Alternatively, the specific processing program 56 may be stored in a storage device such as a server connected to the data processing device 12 via the network 54, and the specific processing program 56 may be downloaded and installed on the computer 22 in response to a request from the data processing device 12.

[0144] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[0145] The hardware resource for executing a specific process can be any of the following types of processors: A processor, for example, is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. A processor also includes a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[0146] The hardware resource that executes the specific process may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific process may be a single processor.

[0147] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[0148] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[0149] In the above example, the first to fourth embodiments have been described separately, but some or all of these embodiments may be combined. The smart device 14, smart glasses 214, headset terminal 314, and robot 414 are merely examples, and they may be combined, or other devices may be used. In the above example, the first and second embodiments have been described separately, but they may be combined.

[0150] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[0151] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference. [Explanation of symbols]

[0152] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot

Claims

1. The Consumer Promotion Department promotes consumption among local residents, a store maintenance unit that supports store maintenance based on the consumption promoted by the consumption promotion unit; a community contribution department that uses a portion of sales from the store maintained by the store maintenance department to contribute to the community; A system characterized by:

2. The consumption promotion department Using generative AI to analyze the consumption patterns of the local residents, we automatically generate individually customized consumption promotion campaigns.

2. The system of claim 1.

3. The consumption promotion department Tokens using blockchain technology will be issued for purchases made at local stores, and these tokens will be exchangeable for other services and products within the area.

2. The system of claim 1.

4. The consumption promotion department Analyze consumers' emotional state in real time and implement promotions to elicit positive emotions 2. The system of claim 1.

5. The consumption promotion department Developing a local exploration game using AR technology to promote in-game consumption 2. The system of claim 1.

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