System

Abstract

An object of a system according to an embodiment is to provide audio content generated on the basis of position information of a user.SOLUTION: A system includes a position information acquiring unit, a generation AI unit, and a sound providing unit. The position information acquisition unit acquires position information of a user. The generation / AI unit generates a voice based on the position information acquired by the position information acquiring unit. The voice providing unit provides the user with the voice generated by the generation and AI unit.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 technologies have had the problem that it is difficult to provide audio content in real time based on the user's location information.

[0005] The system according to the embodiment aims to provide audio content generated based on location information of a user. [Means for solving the problem]

[0006] The system according to the embodiment includes a location information acquisition unit, a generation AI unit, and a voice provision unit. The location information acquisition unit acquires location information of a user. The generation AI unit generates voice based on the location information acquired by the location information acquisition unit. The voice provision unit provides the user with the voice generated by the generation AI unit. [Effects of the Invention]

[0007] The system according to the embodiment can provide audio content generated based on the user's location information. [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) A city exploration system according to an embodiment of the present invention uses a generation AI linked to location information to generate audio for specific spots, allowing users to explore the city while enjoying the audio. When a user reaches a specific location, the city exploration system generates audio related to the location and provides it to the user. This allows users to enjoy exploring the city while listening to the audio when visiting a TV drama filming location or an anime holy site.

[0029] A city exploration system according to an embodiment includes a location information acquisition unit, a generation AI unit, and a voice provision unit. The location information acquisition unit acquires user location information. For example, the location information acquisition unit acquires the user's current location using GPS. The location information acquisition unit can also identify the user's location using Wi-Fi or cell tower location information. The location information acquisition unit can also acquire location information using a sensor on the user's smartphone. The generation AI unit generates voice based on the location information acquired by the location information acquisition unit. For example, the generation AI unit generates voice using text-to-speech (TTS) technology. The generation AI unit can also generate voice using a voice synthesis algorithm. The generation AI unit can also generate voice using a pre-fine-tuned generation AI model. The voice provision unit provides the voice generated by the generation AI unit to the user. For example, the voice provision unit can provide voice through a smartphone app. The voice provision unit can also provide voice through a wearable device. The voice provision unit can also provide voice through a Bluetooth speaker. As a result, the city exploration system according to an embodiment provides relevant voice based on the user's location information, allowing the user to enjoy city exploration.

[0030] The generation AI unit can add personalized information based on the user's past visit history or preferences. For example, the generation AI unit analyzes the user's past visit history and personalizes the voice related to the places visited. For example, the voice content for the next place the user will visit is customized based on information about tourist spots the user has previously visited. The generation AI unit also collects the user's preferences in advance and personalizes the voice based on that information. For example, if the user is interested in history, the generation AI unit generates voice that provides detailed explanations of the historical background of the places the user will visit. The generation AI unit also combines the user's past visit history and preferences to provide optimal voice content. For example, the generation AI unit provides voice recommendations for the next place the user will visit based on reviews and ratings of places the user has previously visited. This allows the voice to be personalized based on the user's past visit history and preferences, providing a more personalized experience.

[0031] The generation AI unit can include in-depth information about local history or culture. For example, the generation AI unit references a database about local history and culture and provides detailed historical and cultural information about the place to be visited by voice. For example, it may provide detailed explanations about the architectural style and historical background of a particular building. The generation AI unit also provides information about local cultural events and traditional ceremonies by voice. For example, it may provide detailed information about festivals and events being held during the time of the visit. The generation AI unit also digs deeper into information about local historical events and people and provides it to the user. For example, it generates voice that provides detailed explanations about historical people and events related to a particular place. This allows the user to deepen their understanding by providing in-depth information about local history and culture.

[0032] The generation AI unit can incorporate local soundscapes in real time. For example, the generation AI unit collects local soundscapes in real time and incorporates those sounds into the audio. For example, natural sounds and city noises can be incorporated as background sounds. The generation AI unit can also analyze local soundscapes and incorporate those sounds into the audio. For example, it can collect sounds unique to the place being visited in real time and incorporate them into the audio. The generation AI unit can also incorporate local soundscapes in real time to provide the user with a more immersive audio experience. For example, it can collect natural sounds and city noises in real time and incorporate them into the audio. This allows the user to incorporate local soundscapes in real time, providing a more immersive audio experience.

[0033] The generation AI unit can include reviews or comments from other users. For example, the generation AI unit collects reviews and comments from other users and incorporates that information into the audio. For example, it provides other users' ratings and impressions of places to be visited via audio. The generation AI unit also analyzes other users' reviews and comments and reflects that information in the audio. For example, it introduces positive reviews of a specific place via audio. The generation AI unit also incorporates other users' reviews and comments into the audio and provides it to the user. For example, it conveys other users' opinions and impressions of places to be visited via audio. In this way, by including other users' reviews and comments, reference information can be provided to the user.

[0034] The generation AI unit can add real-time guide information according to the user's walking speed and movement pattern. For example, the generation AI unit analyzes the user's walking speed and movement pattern and provides real-time guide information based on that information. For example, if the user is walking slowly, it provides detailed explanations. The generation AI unit also adjusts the guide information in real time according to the user's movement pattern. For example, if the user selects a specific route, it provides information related to that route. The generation AI unit also analyzes the user's walking speed and movement pattern in real time and provides guide information based on the results. For example, if the user is in a hurry, it provides guide information that is focused on the main points. This enables more appropriate guidance by providing real-time guide information according to the user's walking speed and movement pattern.

[0035] The generation AI unit can include local event information or special activity information. For example, the generation AI unit collects local event information and incorporates that information into the audio. For example, audio guidance is provided for events and special activities that will be held during the time the user is visiting. The generation AI unit also provides information about local special activities through audio. For example, audio guidance is provided for details of workshops and experience programs that will be held at a specific location. The generation AI unit also incorporates local event information and special activity information into the audio and provides it to the user. For example, audio guidance is provided for information about special events that will be held at a location the user is visiting. This can enrich the user's experience by providing local event information and special activity information.

[0036] The generation AI unit can include recommended information for local restaurants or shops. For example, the generation AI unit collects information about local restaurants and shops and incorporates that information into the audio. For example, information about recommended restaurants and cafes in places to be visited is provided via audio. The generation AI unit also provides reviews and ratings of local restaurants and shops via audio. For example, popular stores and recommended products in places to be visited by the user are introduced via audio. The generation AI unit also incorporates recommended information for local restaurants and shops into the audio and provides it to the user. For example, information about local specialties and limited menu items in places to be visited is provided via audio. This makes it possible to enrich the user's city exploration experience by providing recommended information for local restaurants and shops.

[0037] The generation AI unit can include information about links with other tourist spots. For example, the generation AI unit collects information about links with other tourist spots and incorporates that information into the audio. For example, it provides audio access information from the place to be visited to nearby tourist spots. The generation AI unit also provides audio information about links with other tourist spots. For example, it provides audio guidance on information about tourist spots related to the place the user is visiting. The generation AI unit also incorporates information about links with other tourist spots into the audio and provides it to the user. For example, it provides audio information about recommended routes from the place to be visited and information about linked events. This allows the user's city exploration experience to be expanded by providing information about links with other tourist spots.

[0038] The generation AI unit can provide paid users with exclusive audio content that can only be heard at specific locations. For example, the generation AI unit builds a system that provides paid users with exclusive audio content that can only be heard at specific locations. For example, it provides special commentary audio that can only be accessed at specific tourist spots. The generation AI unit also provides exclusive audio content to paid users, providing detailed information and behind-the-scenes stories related to the location in audio format. For example, it introduces the historical background of a specific location or unpublished information in audio format. The generation AI unit also provides paid users with exclusive audio content that can only be heard at specific locations, providing them with a special experience. For example, it provides cast comments or interview audio that can only be accessed at specific locations. In this way, by providing paid users with exclusive audio content that can only be heard at specific locations, it is possible to provide users with a special experience.

[0039] The generation AI unit can personalize the content of advertisements for free users based on the user's interests and past behavioral history. For example, the generation AI unit builds a system that personalizes the content of advertisements for free users based on the user's interests and past behavioral history. For example, it displays relevant advertisements based on the places the user has visited in the past and their search history. The generation AI unit also analyzes the user's interests and behavioral history and personalizes advertisements based on that information. For example, it incorporates advertisements for products and services that interest the user into the audio. The generation AI unit also personalizes the content of advertisements for free users to provide advertisements that interest the user. For example, it provides relevant advertisements by audio based on the user's past behavioral history. In this way, the content of advertisements can be personalized for free users to provide advertisements that interest the user.

[0040] The generation AI unit can provide paying users with discounts on specific events and tours in addition to the monthly fee. For example, the generation AI unit builds a system that provides paying users with discounts on specific events and tours in addition to the monthly fee. For example, it provides discount coupons for events and tours at specific tourist spots. The generation AI unit also provides paying users with discounts on specific events and tours to provide them with a special experience. For example, it provides discounted tickets for events held in specific locations. The generation AI unit also provides paying users with discounts on specific events and tours in addition to the monthly fee to improve user satisfaction. For example, it provides discounts on tours at specific tourist spots. In this way, user satisfaction can be improved by providing paying users with discounts on specific events and tours.

[0041] The generation AI unit can introduce a system that allows free users to accumulate points by watching advertisements. For example, the generation AI unit builds a system that introduces a system that allows free users to accumulate points by watching advertisements. For example, points are accumulated each time an advertisement is viewed, and the points can be exchanged for rewards. The generation AI unit also provides free users with a system that allows them to accumulate points by watching advertisements, thereby improving user engagement. For example, the accumulated points can be used to access special audio content. The generation AI unit also introduces a system that allows free users to accumulate points by watching advertisements, thereby providing an incentive to the user. For example, the accumulated points can be used to temporarily access paid content. In this way, by providing free users with a system that allows them to accumulate points by watching advertisements, it is possible to improve user engagement.

[0042] The generation AI unit can analyze user usage data, identify the most profitable user segment, and develop a marketing strategy specialized for that segment. For example, the generation AI unit builds a system that analyzes user usage data and identifies the most profitable user segment. For example, it identifies a profitable user segment based on usage frequency and payment history. The generation AI unit also develops a marketing strategy specialized for the profitable user segment and conducts promotions aimed at that segment. For example, it runs a special campaign for a specific user segment. The generation AI unit also identifies the most profitable user segment based on user usage data and develops a marketing strategy specialized for that segment. For example, it provides personalized advertisements aimed at the profitable user segment. This makes it possible to maximize revenue by identifying a profitable user segment and developing a marketing strategy specialized for that segment.

[0043] The generation AI unit can provide special audio content according to the season or event. The generation AI unit, for example, builds a system that provides special audio content according to the season or event. For example, it provides special audio content tailored to seasonal events such as Christmas or Halloween. The generation AI unit also provides special audio content according to the season or event to increase user usage frequency. For example, it provides limited audio content during a specific event period. The generation AI unit also provides special audio content according to the season or event to improve user engagement. For example, it regularly updates special seasonal audio content. In this way, it is possible to increase user usage frequency by providing special audio content according to the season or event.

[0044] The Generative AI Department can formulate a global marketing strategy with an eye toward expansion into different regions or countries. For example, the Generative AI Department builds a system for formulating a global marketing strategy with an eye toward expansion into different regions or countries. For example, it formulates a marketing strategy that suits the culture and market characteristics of each region. The Generative AI Department also deploys a global marketing strategy to increase users in different regions and countries. For example, it conducts promotions that suit the language and culture of each region. The Generative AI Department also formulates a global marketing strategy with an eye toward expansion into different regions and countries to meet the diverse needs of users. For example, it deploys advertisements and campaigns that suit the market characteristics of each region. In this way, by formulating a global marketing strategy with an eye toward expansion into different regions and countries, it is possible to meet the diverse needs of users.

[0045] The generation AI unit can provide special audio content or services through collaboration with partner companies. For example, the generation AI unit builds a system that provides special audio content and services through collaboration with partner companies. For example, it partners with a specific company to provide limited audio content. The generation AI unit also provides special experiences to users through collaboration with partner companies. For example, it partners with a specific company to provide special events or services. The generation AI unit also provides special audio content and services through collaboration with partner companies to improve user satisfaction. For example, it partners with a specific company to provide limited audio content. In this way, user satisfaction can be improved by providing special audio content and services through collaboration with partner companies.

[0046] The generation AI unit can provide high-quality audio content without advertisements to paying users. The generation AI unit, for example, builds a system that provides high-quality audio content without advertisements to paying users. For example, high-quality audio content is provided without inserting any advertisements. The generation AI unit also provides high-quality audio content without advertisements to paying users, improving user satisfaction. For example, by providing high-quality audio content, the user experience is improved. The generation AI unit also provides high-quality audio content without advertisements to paying users, providing a special experience to the user. For example, by providing high-quality audio content, user satisfaction is improved. As a result, by providing high-quality audio content without advertisements to paying users, user satisfaction can be improved.

[0047] The generation AI unit can temporarily release specific audio content for free users after they watch an advertisement. The generation AI unit, for example, builds a system that temporarily releases specific audio content for free users after they watch an advertisement. For example, by watching an advertisement, specific audio content can be made available for a certain period of time. The generation AI unit also temporarily releases specific audio content for free users after they watch an advertisement, thereby improving user engagement. For example, by watching an advertisement, special audio content can be made available temporarily. The generation AI unit also temporarily releases specific audio content for free users after they watch an advertisement, thereby providing an incentive to the user. For example, by watching an advertisement, limited audio content can be made available temporarily. In this way, by temporarily releasing specific audio content for free users after they watch an advertisement, it is possible to improve user engagement.

[0048] The generation AI unit can provide paying users with discounts on specific events and tours in addition to the monthly fee. For example, the generation AI unit builds a system that provides paying users with discounts on specific events and tours in addition to the monthly fee. For example, it provides discount coupons for events and tours at specific tourist spots. The generation AI unit also provides paying users with discounts on specific events and tours to provide them with a special experience. For example, it provides discounted tickets for events held in specific locations. The generation AI unit also provides paying users with discounts on specific events and tours in addition to the monthly fee to improve user satisfaction. For example, it provides discounts on tours at specific tourist spots. In this way, user satisfaction can be improved by providing paying users with discounts on specific events and tours.

[0049] The generation AI unit can introduce a system that allows free users to accumulate points by watching advertisements. For example, the generation AI unit builds a system that introduces a system that allows free users to accumulate points by watching advertisements. For example, points are accumulated each time an advertisement is viewed, and the points can be exchanged for rewards. The generation AI unit also provides free users with a system that allows them to accumulate points by watching advertisements, thereby improving user engagement. For example, the accumulated points can be used to access special audio content. The generation AI unit also introduces a system that allows free users to accumulate points by watching advertisements, thereby providing an incentive to the user. For example, the accumulated points can be used to temporarily access paid content. In this way, by providing free users with a system that allows them to accumulate points by watching advertisements, it is possible to improve user engagement.

[0050] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0051] The city exploration system can also provide coupons for nearby tourist spots and restaurants based on the user's location information. For example, when a user approaches a specific tourist spot, the system can provide a discount coupon for the entrance fee to that spot. Also, when a user passes by a restaurant, the system can provide a discount coupon for that restaurant. Furthermore, if a user stays in a specific area for an extended period of time, the system can provide coupons that can be used at multiple stores in that area. This allows users to obtain valuable information while enjoying city exploration.

[0052] The city exploration system can also provide information on nearby emergency evacuation sites and medical facilities based on the user's location information. For example, if the user needs to evacuate in the event of a disaster, the system can guide the user on the route to the nearest evacuation site. If the user becomes ill, the system can also provide information on the nearest medical facility. Furthermore, if the user stays in a specific area for an extended period of time, the system can provide emergency contact information for that area. This allows the user to enjoy city exploration with peace of mind.

[0053] The city exploration system can also provide information about nearby public transportation based on the user's location information. For example, when a user approaches a specific bus stop or station, the system can provide the arrival time of the next bus or train. If the user selects a specific route, the system can also provide information about public transportation related to that route. Furthermore, if a user stays in a specific area for an extended period of time, the system can provide information about multiple public transportation within that area. This allows users to efficiently enjoy city exploration.

[0054] The city search system can also provide surrounding weather information based on the user's location information. For example, when the user approaches a specific area, the system can provide current weather information for that area. If the user selects a specific route, the system can also provide weather information related to that route. Furthermore, if the user stays in a specific area for an extended period of time, the system can provide a weather forecast for that area. This allows the user to enjoy city exploration tailored to the weather.

[0055] The city exploration system can also provide information on the congestion status of nearby tourist spots based on the user's location information. For example, when a user approaches a specific tourist spot, the system can provide the current congestion status of that spot. Also, if a user selects a specific route, the system can provide the congestion status of tourist spots related to that route. Furthermore, if a user stays in a specific area for an extended period of time, the system can provide the congestion status of multiple tourist spots in that area. This allows the user to enjoy city exploration while avoiding crowds.

[0056] The processing flow of the first embodiment will be briefly explained below.

[0057] Step 1: The location information acquisition unit acquires the user's location information. For example, the location information acquisition unit acquires the user's current location using GPS. The user's location can also be identified using Wi-Fi or cell tower location information. Furthermore, location information can also be acquired using a sensor on the user's smartphone. Step 2: The generation AI unit generates speech based on the location information acquired by the location information acquisition unit. For example, the generation AI unit generates speech using text-to-speech (TTS) technology. Alternatively, the generation AI unit can generate speech using a speech synthesis algorithm or a pre-fine-tuned generation AI model. Step 3: The voice providing unit provides the voice generated by the generation AI unit to the user. For example, the voice providing unit provides the voice through a smartphone app. The voice can also be provided through a wearable device or a Bluetooth speaker.

[0058] (Example 2) A city exploration system according to an embodiment of the present invention uses a generation AI linked to location information to generate audio for specific spots, allowing users to explore the city while enjoying the audio. When a user reaches a specific location, the city exploration system generates audio related to the location and provides it to the user. This allows users to enjoy exploring the city while listening to the audio when visiting a TV drama filming location or an anime holy site.

[0059] A city exploration system according to an embodiment includes a location information acquisition unit, a generation AI unit, and a voice provision unit. The location information acquisition unit acquires user location information. For example, the location information acquisition unit acquires the user's current location using GPS. The location information acquisition unit can also identify the user's location using Wi-Fi or cell tower location information. The location information acquisition unit can also acquire location information using a sensor on the user's smartphone. The generation AI unit generates voice based on the location information acquired by the location information acquisition unit. For example, the generation AI unit generates voice using text-to-speech (TTS) technology. The generation AI unit can also generate voice using a voice synthesis algorithm. The generation AI unit can also generate voice using a pre-fine-tuned generation AI model. The voice provision unit provides the voice generated by the generation AI unit to the user. For example, the voice provision unit can provide voice through a smartphone app. The voice provision unit can also provide voice through a wearable device. The voice provision unit can also provide voice through a Bluetooth speaker. As a result, the city exploration system according to an embodiment provides relevant voice based on the user's location information, allowing the user to enjoy city exploration.

[0060] The generation AI unit can add personalized information based on the user's past visit history or preferences. For example, the generation AI unit analyzes the user's past visit history and personalizes the voice related to the places visited. For example, the voice content for the next place the user will visit is customized based on information about tourist spots the user has previously visited. The generation AI unit also collects the user's preferences in advance and personalizes the voice based on that information. For example, if the user is interested in history, the generation AI unit generates voice that provides detailed explanations of the historical background of the places the user will visit. The generation AI unit also combines the user's past visit history and preferences to provide optimal voice content. For example, the generation AI unit provides voice recommendations for the next place the user will visit based on reviews and ratings of places the user has previously visited. This allows the voice to be personalized based on the user's past visit history and preferences, providing a more personalized experience.

[0061] The generation AI unit can include in-depth information about local history or culture. For example, the generation AI unit references a database about local history and culture and provides detailed historical and cultural information about the place to be visited by voice. For example, it may provide detailed explanations about the architectural style and historical background of a particular building. The generation AI unit also provides information about local cultural events and traditional ceremonies by voice. For example, it may provide detailed information about festivals and events being held during the time of the visit. The generation AI unit also digs deeper into information about local historical events and people and provides it to the user. For example, it generates voice that provides detailed explanations about historical people and events related to a particular place. This allows the user to deepen their understanding by providing in-depth information about local history and culture.

[0062] The generation AI unit can use the emotion estimation function to generate voice content according to the user's current emotional state. For example, the generation AI unit uses the emotion estimation function to analyze the user's current emotional state and adjust the voice content based on the results. For example, if the user is relaxed, it provides a calm voice. The generation AI unit also changes the tone and content of the voice according to the user's emotional state. For example, if the user is excited, it provides an energetic voice. The generation AI unit also uses the emotion estimation function to generate voice content according to the user's emotional state in real time. For example, if the user is tired, it provides a refreshing voice. This makes it possible to provide a more personalized experience by providing voice content according to the user's emotional state.

[0063] The generation AI unit can incorporate local soundscapes in real time. For example, the generation AI unit collects local soundscapes in real time and incorporates those sounds into the audio. For example, natural sounds and city noises can be incorporated as background sounds. The generation AI unit can also analyze local soundscapes and incorporate those sounds into the audio. For example, it can collect sounds unique to the place being visited in real time and incorporate them into the audio. The generation AI unit can also incorporate local soundscapes in real time to provide the user with a more immersive audio experience. For example, it can collect natural sounds and city noises in real time and incorporate them into the audio. This allows the user to incorporate local soundscapes in real time, providing a more immersive audio experience.

[0064] The generation AI unit can include reviews or comments from other users. For example, the generation AI unit collects reviews and comments from other users and incorporates that information into the audio. For example, it provides other users' ratings and impressions of places to be visited via audio. The generation AI unit also analyzes other users' reviews and comments and reflects that information in the audio. For example, it introduces positive reviews of a specific place via audio. The generation AI unit also incorporates other users' reviews and comments into the audio and provides it to the user. For example, it conveys other users' opinions and impressions of places to be visited via audio. In this way, by including other users' reviews and comments, reference information can be provided to the user.

[0065] The generation AI unit can use the emotion estimation function to generate audio that builds a user's anticipation for a place before they visit. For example, the generation AI unit uses the emotion estimation function to generate audio that builds a user's anticipation for a place before they visit. For example, audio that emphasizes the appeal of the place to be visited is provided. The generation AI unit also analyzes the user's emotional state and generates audio that builds a user's anticipation for the place. For example, audio that introduces the highlights and recommended points of the place to be visited is provided. The generation AI unit also uses the emotion estimation function to generate audio in real time that builds a user's anticipation for a place before they visit. For example, audio that conveys the appeal of the place to be visited is provided. In this way, audio that builds a user's anticipation for a place before they visit can be provided, increasing excitement before the visit.

[0066] The generation AI unit can add real-time guide information according to the user's walking speed and movement pattern. For example, the generation AI unit analyzes the user's walking speed and movement pattern and provides real-time guide information based on that information. For example, if the user is walking slowly, it provides detailed explanations. The generation AI unit also adjusts the guide information in real time according to the user's movement pattern. For example, if the user selects a specific route, it provides information related to that route. The generation AI unit also analyzes the user's walking speed and movement pattern in real time and provides guide information based on the results. For example, if the user is in a hurry, it provides guide information that is focused on the main points. This enables more appropriate guidance by providing real-time guide information according to the user's walking speed and movement pattern.

[0067] The generation AI unit can include local event information or special activity information. For example, the generation AI unit collects local event information and incorporates that information into the audio. For example, audio guidance is provided for events and special activities that will be held during the time the user is visiting. The generation AI unit also provides information about local special activities through audio. For example, audio guidance is provided for details of workshops and experience programs that will be held at a specific location. The generation AI unit also incorporates local event information and special activity information into the audio and provides it to the user. For example, audio guidance is provided for information about special events that will be held at a location the user is visiting. This can enrich the user's experience by providing local event information and special activity information.

[0068] The generation AI unit can use the emotion estimation function to suggest a city exploration route that corresponds to the user's emotional state. For example, the generation AI unit uses the emotion estimation function to analyze the user's emotional state and suggest an optimal city exploration route based on the results. For example, if the user wants to relax, the generation AI unit suggests a route that includes quiet places. The generation AI unit also adjusts the city exploration route in real time according to the user's emotional state. For example, if the user is excited, the generation AI unit suggests a route that includes active places. The generation AI unit also uses the emotion estimation function to build a system that suggests a city exploration route based on the user's emotional state. For example, the system dynamically adjusts the route according to changes in the user's emotions. This makes it possible to provide a more personalized city exploration experience by suggesting a city exploration route that corresponds to the user's emotional state.

[0069] The generation AI unit can include recommended information for local restaurants or shops. For example, the generation AI unit collects information about local restaurants and shops and incorporates that information into the audio. For example, information about recommended restaurants and cafes in places to be visited is provided via audio. The generation AI unit also provides reviews and ratings of local restaurants and shops via audio. For example, popular stores and recommended products in places to be visited by the user are introduced via audio. The generation AI unit also incorporates recommended information for local restaurants and shops into the audio and provides it to the user. For example, information about local specialties and limited menu items in places to be visited is provided via audio. This makes it possible to enrich the user's city exploration experience by providing recommended information for local restaurants and shops.

[0070] The generation AI unit can include information about links with other tourist spots. For example, the generation AI unit collects information about links with other tourist spots and incorporates that information into the audio. For example, it provides audio access information from the place to be visited to nearby tourist spots. The generation AI unit also provides audio information about links with other tourist spots. For example, it provides audio guidance on information about tourist spots related to the place the user is visiting. The generation AI unit also incorporates information about links with other tourist spots into the audio and provides it to the user. For example, it provides audio information about recommended routes from the place to be visited and information about linked events. This allows the user's city exploration experience to be expanded by providing information about links with other tourist spots.

[0071] The generation AI unit can use the emotion estimation function to generate audio that increases the user's anticipation for the place they are visiting. For example, the generation AI unit uses the emotion estimation function to generate audio that increases the user's anticipation for the place they are visiting. For example, audio that emphasizes the appeal of the place they are visiting is provided. The generation AI unit also analyzes the user's emotional state and generates audio that increases the user's anticipation for the place. For example, audio that introduces the highlights and recommended points of the place they are visiting is provided. The generation AI unit also uses the emotion estimation function to generate audio in real time that increases the user's anticipation for the place before they visit. For example, audio that conveys the appeal of the place they are visiting is provided. In this way, audio that increases the user's anticipation for the place they are visiting can increase excitement before the visit.

[0072] The generation AI unit can provide paid users with exclusive audio content that can only be heard at specific locations. For example, the generation AI unit builds a system that provides paid users with exclusive audio content that can only be heard at specific locations. For example, it provides special commentary audio that can only be accessed at specific tourist spots. The generation AI unit also provides exclusive audio content to paid users, providing detailed information and behind-the-scenes stories related to the location in audio format. For example, it introduces the historical background of a specific location or unpublished information in audio format. The generation AI unit also provides paid users with exclusive audio content that can only be heard at specific locations, providing them with a special experience. For example, it provides cast comments or interview audio that can only be accessed at specific locations. In this way, by providing paid users with exclusive audio content that can only be heard at specific locations, it is possible to provide users with a special experience.

[0073] The generation AI unit can personalize the content of advertisements for free users based on the user's interests and past behavioral history. For example, the generation AI unit builds a system that personalizes the content of advertisements for free users based on the user's interests and past behavioral history. For example, it displays relevant advertisements based on the places the user has visited in the past and their search history. The generation AI unit also analyzes the user's interests and behavioral history and personalizes advertisements based on that information. For example, it incorporates advertisements for products and services that interest the user into the audio. The generation AI unit also personalizes the content of advertisements for free users to provide advertisements that interest the user. For example, it provides relevant advertisements by audio based on the user's past behavioral history. In this way, the content of advertisements can be personalized for free users to provide advertisements that interest the user.

[0074] The generation AI unit can use the emotion estimation function to insert advertisements that correspond to the user's emotional state. For example, the generation AI unit uses the emotion estimation function to analyze the user's emotional state and insert the most appropriate advertisement based on the results. For example, if the user is relaxed, it provides an advertisement for a product that has a relaxing effect. The generation AI unit also adjusts the content of the advertisement according to the user's emotional state. For example, if the user is excited, it provides an advertisement for an energetic product. The generation AI unit also uses the emotion estimation function to insert advertisements based on the user's emotional state in real time. For example, if the user is tired, it provides an advertisement for a product that will refresh them. This allows for more effective advertisement insertion by providing advertisements that correspond to the user's emotional state.

[0075] The generation AI unit can provide paying users with discounts on specific events and tours in addition to the monthly fee. For example, the generation AI unit builds a system that provides paying users with discounts on specific events and tours in addition to the monthly fee. For example, it provides discount coupons for events and tours at specific tourist spots. The generation AI unit also provides paying users with discounts on specific events and tours to provide them with a special experience. For example, it provides discounted tickets for events held in specific locations. The generation AI unit also provides paying users with discounts on specific events and tours in addition to the monthly fee to improve user satisfaction. For example, it provides discounts on tours at specific tourist spots. In this way, user satisfaction can be improved by providing paying users with discounts on specific events and tours.

[0076] The generation AI unit can introduce a system that allows free users to accumulate points by watching advertisements. For example, the generation AI unit builds a system that introduces a system that allows free users to accumulate points by watching advertisements. For example, points are accumulated each time an advertisement is viewed, and the points can be exchanged for rewards. The generation AI unit also provides free users with a system that allows them to accumulate points by watching advertisements, thereby improving user engagement. For example, the accumulated points can be used to access special audio content. The generation AI unit also introduces a system that allows free users to accumulate points by watching advertisements, thereby providing an incentive to the user. For example, the accumulated points can be used to temporarily access paid content. In this way, by providing free users with a system that allows them to accumulate points by watching advertisements, it is possible to improve user engagement.

[0077] The generation AI unit can use the emotion estimation function to display advertisements that are likely to interest the user in real time. For example, the generation AI unit uses the emotion estimation function to analyze the user's emotional state and display the optimal advertisement in real time based on the results. For example, it provides advertisements for products that are likely to interest the user. The generation AI unit also adjusts the content of advertisements according to the user's emotional state and displays the advertisements that are likely to interest the user in real time. For example, if the user is relaxed, it provides advertisements for products that have a relaxing effect. The generation AI unit also uses the emotion estimation function to build a system that displays advertisements based on the user's emotional state in real time. For example, if the user is excited, it provides advertisements for energetic products. This maximizes the effectiveness of advertisements by displaying the optimal advertisements in real time based on the user's emotional state.

[0078] The generation AI unit can analyze user usage data, identify the most profitable user segment, and develop a marketing strategy specialized for that segment. For example, the generation AI unit builds a system that analyzes user usage data and identifies the most profitable user segment. For example, it identifies a profitable user segment based on usage frequency and payment history. The generation AI unit also develops a marketing strategy specialized for the profitable user segment and conducts promotions aimed at that segment. For example, it runs a special campaign for a specific user segment. The generation AI unit also identifies the most profitable user segment based on user usage data and develops a marketing strategy specialized for that segment. For example, it provides personalized advertisements aimed at the profitable user segment. This makes it possible to maximize revenue by identifying a profitable user segment and developing a marketing strategy specialized for that segment.

[0079] The generation AI unit can provide special audio content according to the season or event. The generation AI unit, for example, builds a system that provides special audio content according to the season or event. For example, it provides special audio content tailored to seasonal events such as Christmas or Halloween. The generation AI unit also provides special audio content according to the season or event to increase user usage frequency. For example, it provides limited audio content during a specific event period. The generation AI unit also provides special audio content according to the season or event to improve user engagement. For example, it regularly updates special seasonal audio content. In this way, it is possible to increase user usage frequency by providing special audio content according to the season or event.

[0080] The generation AI unit can use the emotion estimation function to perform promotions according to the user's emotional state. For example, the generation AI unit uses the emotion estimation function to analyze the user's emotional state and perform optimal promotions based on the results. For example, if the user is relaxed, the generation AI unit will promote products that have a relaxing effect. The generation AI unit also adjusts the content of promotions according to the user's emotional state. For example, if the user is excited, the generation AI unit will promote energetic products. The generation AI unit also uses the emotion estimation function to perform promotions in real time based on the user's emotional state. For example, if the user is tired, the generation AI unit will promote refreshing products. This maximizes the effectiveness of promotions by performing promotions according to the user's emotional state.

[0081] The Generative AI Department can formulate a global marketing strategy with an eye toward expansion into different regions or countries. For example, the Generative AI Department builds a system for formulating a global marketing strategy with an eye toward expansion into different regions or countries. For example, it formulates a marketing strategy that suits the culture and market characteristics of each region. The Generative AI Department also deploys a global marketing strategy to increase users in different regions and countries. For example, it conducts promotions that suit the language and culture of each region. The Generative AI Department also formulates a global marketing strategy with an eye toward expansion into different regions and countries to meet the diverse needs of users. For example, it deploys advertisements and campaigns that suit the market characteristics of each region. In this way, by formulating a global marketing strategy with an eye toward expansion into different regions and countries, it is possible to meet the diverse needs of users.

[0082] The generation AI unit can provide special audio content or services through collaboration with partner companies. For example, the generation AI unit builds a system that provides special audio content and services through collaboration with partner companies. For example, it partners with a specific company to provide limited audio content. The generation AI unit also provides special experiences to users through collaboration with partner companies. For example, it partners with a specific company to provide special events or services. The generation AI unit also provides special audio content and services through collaboration with partner companies to improve user satisfaction. For example, it partners with a specific company to provide limited audio content. In this way, user satisfaction can be improved by providing special audio content and services through collaboration with partner companies.

[0083] The generation AI unit can use the emotion estimation function to run promotions that are likely to interest the user in real time. The generation AI unit, for example, uses the emotion estimation function to analyze the user's emotional state and run optimal promotions in real time based on the results. For example, it provides promotions for products that the user is likely to be interested in. The generation AI unit also adjusts the content of promotions according to the user's emotional state and runs promotions that are likely to interest the user in real time. For example, if the user is relaxed, it provides promotions for products that have a relaxing effect. The generation AI unit also uses the emotion estimation function to build a system that runs promotions based on the user's emotional state in real time. For example, if the user is excited, it provides promotions for energetic products. This maximizes the effectiveness of promotions by running optimal promotions in real time based on the user's emotional state.

[0084] The generation AI unit can provide high-quality audio content without advertisements to paying users. The generation AI unit, for example, builds a system that provides high-quality audio content without advertisements to paying users. For example, high-quality audio content is provided without inserting any advertisements. The generation AI unit also provides high-quality audio content without advertisements to paying users, improving user satisfaction. For example, by providing high-quality audio content, the user experience is improved. The generation AI unit also provides high-quality audio content without advertisements to paying users, providing a special experience to the user. For example, by providing high-quality audio content, user satisfaction is improved. As a result, by providing high-quality audio content without advertisements to paying users, user satisfaction can be improved.

[0085] The generation AI unit can temporarily release specific audio content for free users after they watch an advertisement. The generation AI unit, for example, builds a system that temporarily releases specific audio content for free users after they watch an advertisement. For example, by watching an advertisement, specific audio content can be made available for a certain period of time. The generation AI unit also temporarily releases specific audio content for free users after they watch an advertisement, thereby improving user engagement. For example, by watching an advertisement, special audio content can be made available temporarily. The generation AI unit also temporarily releases specific audio content for free users after they watch an advertisement, thereby providing an incentive to the user. For example, by watching an advertisement, limited audio content can be made available temporarily. In this way, by temporarily releasing specific audio content for free users after they watch an advertisement, it is possible to improve user engagement.

[0086] The generation AI unit can use the emotion estimation function to provide rewards according to the user's emotional state. For example, the generation AI unit uses the emotion estimation function to analyze the user's emotional state and provide the optimal reward based on the results. For example, if the user is relaxed, it provides a reward that has a relaxing effect. The generation AI unit also adjusts the content of the reward according to the user's emotional state. For example, if the user is excited, it provides an energetic reward. The generation AI unit also uses the emotion estimation function to provide rewards based on the user's emotional state in real time. For example, if the user is tired, it provides a refreshing reward. In this way, by providing rewards according to the user's emotional state, it is possible to improve user satisfaction.

[0087] The generation AI unit can provide paying users with discounts on specific events and tours in addition to the monthly fee. For example, the generation AI unit builds a system that provides paying users with discounts on specific events and tours in addition to the monthly fee. For example, it provides discount coupons for events and tours at specific tourist spots. The generation AI unit also provides paying users with discounts on specific events and tours to provide them with a special experience. For example, it provides discounted tickets for events held in specific locations. The generation AI unit also provides paying users with discounts on specific events and tours in addition to the monthly fee to improve user satisfaction. For example, it provides discounts on tours at specific tourist spots. In this way, user satisfaction can be improved by providing paying users with discounts on specific events and tours.

[0088] The generation AI unit can introduce a system that allows free users to accumulate points by watching advertisements. For example, the generation AI unit builds a system that introduces a system that allows free users to accumulate points by watching advertisements. For example, points are accumulated each time an advertisement is viewed, and the points can be exchanged for rewards. The generation AI unit also provides free users with a system that allows them to accumulate points by watching advertisements, thereby improving user engagement. For example, the accumulated points can be used to access special audio content. The generation AI unit also introduces a system that allows free users to accumulate points by watching advertisements, thereby providing an incentive to the user. For example, the accumulated points can be used to temporarily access paid content. In this way, by providing free users with a system that allows them to accumulate points by watching advertisements, it is possible to improve user engagement.

[0089] The generation AI unit can use the emotion estimation function to display advertisements that are likely to interest the user in real time. For example, the generation AI unit uses the emotion estimation function to analyze the user's emotional state and display the optimal advertisement in real time based on the results. For example, it provides advertisements for products that are likely to interest the user. The generation AI unit also adjusts the content of advertisements according to the user's emotional state and displays the advertisements that are likely to interest the user in real time. For example, if the user is relaxed, it provides advertisements for products that have a relaxing effect. The generation AI unit also uses the emotion estimation function to build a system that displays advertisements based on the user's emotional state in real time. For example, if the user is excited, it provides advertisements for energetic products. This maximizes the effectiveness of advertisements by displaying the optimal advertisements in real time based on the user's emotional state.

[0090] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0091] The city exploration system can also provide coupons for nearby tourist spots and restaurants based on the user's location information. For example, when a user approaches a specific tourist spot, the system can provide a discount coupon for the entrance fee to that spot. Also, when a user passes by a restaurant, the system can provide a discount coupon for that restaurant. Furthermore, if a user stays in a specific area for an extended period of time, the system can provide coupons that can be used at multiple stores in that area. This allows users to obtain valuable information while enjoying city exploration.

[0092] The city exploration system can also provide information on nearby emergency evacuation sites and medical facilities based on the user's location information. For example, if the user needs to evacuate in the event of a disaster, the system can guide the user on the route to the nearest evacuation site. If the user becomes ill, the system can also provide information on the nearest medical facility. Furthermore, if the user stays in a specific area for an extended period of time, the system can provide emergency contact information for that area. This allows the user to enjoy city exploration with peace of mind.

[0093] The city exploration system can also provide information about nearby public transportation based on the user's location information. For example, when a user approaches a specific bus stop or station, the system can provide the arrival time of the next bus or train. If the user selects a specific route, the system can also provide information about public transportation related to that route. Furthermore, if a user stays in a specific area for an extended period of time, the system can provide information about multiple public transportation within that area. This allows users to efficiently enjoy city exploration.

[0094] The city search system can also provide surrounding weather information based on the user's location information. For example, when the user approaches a specific area, the system can provide current weather information for that area. If the user selects a specific route, the system can also provide weather information related to that route. Furthermore, if the user stays in a specific area for an extended period of time, the system can provide a weather forecast for that area. This allows the user to enjoy city exploration tailored to the weather.

[0095] The city exploration system can also provide information on the congestion status of nearby tourist spots based on the user's location information. For example, when a user approaches a specific tourist spot, the system can provide the current congestion status of that spot. Also, if a user selects a specific route, the system can provide the congestion status of tourist spots related to that route. Furthermore, if a user stays in a specific area for an extended period of time, the system can provide the congestion status of multiple tourist spots in that area. This allows the user to enjoy city exploration while avoiding crowds.

[0096] The city exploration system can suggest relaxing places and activities based on the user's emotional state. For example, if the user is feeling stressed, a quiet park or cafe can be suggested. If the user wants to relax, a spa or massage parlor can be suggested. Furthermore, if the user wants to refresh themselves, activities such as nature walks or yoga classes can be suggested. This allows the user to enjoy relaxing city exploration according to their emotional state.

[0097] The city exploration system can suggest energetic places and activities based on the user's emotional state. For example, if the user is excited, it can suggest live music venues and sporting events. If the user wants to stay active, it can also suggest adventure parks and gyms. Furthermore, if the user wants to release energy, it can suggest activities such as dance clubs and karaoke. This allows the user to enjoy energetic city exploration that suits their emotional state.

[0098] The city exploration system can suggest inspiring places and activities based on the user's emotional state. For example, if the user is looking for an emotional experience, it can suggest museums and theaters. If the user wants to have a heartwarming experience, it can also suggest zoos and volunteer activities. Furthermore, if the user wants to enjoy an inspiring view, it can suggest activities such as observation decks and nature parks. This allows the user to enjoy an inspiring city exploration that suits their emotional state.

[0099] The city exploration system can suggest refreshing places and activities based on the user's emotional state. For example, if the user is tired, it can suggest hot springs or relaxation facilities. If the user wants to refresh themselves, it can also suggest nature walks or picnics. Furthermore, if the user wants to relax, it can suggest activities such as quiet cafes or libraries. This allows the user to enjoy refreshing city exploration that suits their emotional state.

[0100] The city exploration system can suggest fun places and activities based on the user's emotional state. For example, if the user wants to have fun, the system can suggest amusement parks and theme parks. If the user wants to laugh, the system can suggest comedy clubs and live comedy shows. Furthermore, if the user wants to have a good time with friends, the system can suggest activities such as bowling and karaoke. This allows the user to enjoy fun city exploration according to their emotional state.

[0101] The processing flow of the second embodiment will be briefly explained below.

[0102] Step 1: The location information acquisition unit acquires the user's location information. For example, the location information acquisition unit acquires the user's current location using GPS. The user's location can also be identified using Wi-Fi or cell tower location information. Furthermore, location information can also be acquired using a sensor on the user's smartphone. Step 2: The generation AI unit generates speech based on the location information acquired by the location information acquisition unit. For example, the generation AI unit generates speech using text-to-speech (TTS) technology. Alternatively, the generation AI unit can generate speech using a speech synthesis algorithm or a pre-fine-tuned generation AI model. Step 3: The voice providing unit provides the voice generated by the generation AI unit to the user. For example, the voice providing unit provides the voice through a smartphone app. The voice can also be provided through a wearable device or a Bluetooth speaker.

[0103] 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.

[0104] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<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.

[0105] 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.

[0106] [Second embodiment] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0107] 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.

[0108] 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.

[0109] 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.

[0110] 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.

[0111] 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).

[0112] 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.

[0113] 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.

[0114] 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.

[0115] 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.

[0116] 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.

[0117] 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.

[0118] 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.

[0119] 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.

[0120] 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.

[0121] [Third embodiment] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0122] 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.

[0123] 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.

[0124] 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.

[0125] 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.

[0126] 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).

[0127] 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.

[0128] 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.

[0129] 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.

[0130] 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.

[0131] 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.

[0132] 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.

[0133] 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.

[0134] 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.

[0135] 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.

[0136] [Fourth embodiment] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0137] 7, a 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.

[0138] 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.

[0139] 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.

[0140] 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.

[0141] 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).

[0142] 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.

[0143] 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.

[0144] 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.

[0145] 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.

[0146] 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.

[0147] 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.

[0148] 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.

[0149] 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.

[0150] 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.

[0151] 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.

[0152] 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.

[0153] 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.

[0154] 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.

[0155] 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).

[0156] 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.

[0157] 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."

[0158] 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.

[0159] 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.

[0160] 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.

[0161] 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.

[0162] 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.

[0163] 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.

[0164] 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.

[0165] 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.

[0166] 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.

[0167] 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.

[0168] 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.

[0169] 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]

[0170] 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. a location information acquisition unit that acquires location information of a user; a generation AI unit that generates a voice based on the location information acquired by the location information acquisition unit; a voice providing unit that provides the voice generated by the generation AI unit to a user; A system characterized by:

2. The generation AI unit Add personalized information based on the user's past visits or preferences 2. The system of claim 1.

3. The generation AI unit Include in-depth information about local history or culture 2. The system of claim 1.

4. The generation AI unit generating voice content according to the user's current emotional state; 2. The system of claim 1.

5. The generation AI unit Incorporating local soundscapes in real time 2. The system of claim 1.

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