System

Abstract

An object of the system according to the embodiment is to provide a virtual experience to people who cannot experience entertainment such as travel and concerts.SOLUTION: A system includes a place input unit, a time input unit, a generation unit, and a provision unit. The place input unit inputs a place where the user wants to go. The time input unit inputs a time or a time zone when the user wants to travel. The generation unit generates a virtual experience based on the information input by the location input unit and the time input unit. The provision unit provides the user with the virtual experience generated by the generation 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 technology has had the challenge of making it difficult to provide similar experiences to people who are unable to experience entertainment such as travel or concerts.

[0005] The system according to the embodiment aims to provide a virtual experience to people who are unable to experience entertainment such as travel or concerts. [Means for solving the problem]

[0006] The system according to the embodiment includes a location input unit, a time input unit, a generation unit, and a provision unit. The location input unit inputs a location where the user wants to go. The time input unit inputs a time or time period during which the user wants to travel. The generation unit generates a virtual experience based on the information input by the location input unit and the time input unit. The provision unit provides the virtual experience generated by the generation unit to the user. [Effects of the Invention]

[0007] The system according to the embodiment can provide a virtual experience to people who are unable to experience entertainment such as travel or concerts. [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 the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[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 may have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

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

[0028] (Example 1) The entertainment delivery system according to an embodiment of the present invention is a system in which a user inputs the place they want to go and the time they want to travel, and a generation AI generates a virtual experience and provides it to the user. This allows the entertainment delivery system to provide entertainment to many people beyond physical limitations.

[0029] An entertainment delivery system according to an embodiment includes a location input unit, a time input unit, a generation unit, and a provision unit. The location input unit inputs a location the user wants to visit. For example, the user can input a specific location such as "the Eiffel Tower in Paris" or "Kinkaku-ji Temple in Kyoto." The time input unit inputs a time and time period the user wants to travel. For example, the user can input specific conditions such as "when cherry blossoms bloom in spring" or "when the lights are on at night." The generation unit generates a virtual experience based on the information input by the location input unit and the time input unit. For example, the generation AI generates a virtual experience based on the location and time period input by the user. The generation AI uses a text generation AI (e.g., LLM) or a multimodal generation AI to generate a virtual experience tailored to the user's desired location and time period. The provision unit provides the virtual experience generated by the generation unit to the user. For example, the provision unit displays the generated virtual experience on the user's device. This enables the entertainment delivery system to provide entertainment to many people beyond physical constraints.

[0030] The location input unit can analyze a user's past travel history and interests and automatically generate suggestions of places the user would like to visit. For example, the location input unit uses a generation AI to analyze a user's past travel history and suggest places the user has not visited but may be interested in. For example, it can suggest new cities with similar appeal based on the characteristics of cities previously visited. The location input unit also automatically generates suggestions of places the user would like to visit based on the user's interests and hobbies. For example, it can suggest historical sites to a history buff and natural parks to a nature lover. The location input unit can also analyze a user's social media posts and search history to suggest places the user would like to visit. For example, it can make suggestions based on tourist spots and events that the user frequently searches for. This makes it possible to suggest places the user would like to visit based on their interests.

[0031] The location input unit can provide detailed information about the local history and culture based on the location entered by the user. For example, the location input unit provides historical background and cultural information about the location entered by the user. For example, detailed information about the construction of the Eiffel Tower and the history of Paris is displayed. The location input unit also provides information about the local culture and traditions to deepen the virtual experience. For example, it introduces traditional events and cultural background related to Kinkaku-ji Temple in Kyoto. The location input unit also enriches the virtual experience by providing documentary footage and interviews related to the location entered by the user. For example, it conveys the appeal of the location through interviews with local residents and experts. This allows the user to gain a deeper understanding of the history and culture of the place they want to visit.

[0032] The time input unit allows the generation AI to analyze past weather data and provide a virtual experience that is optimal for the time period and time slot entered by the user. For example, the time input unit allows the generation AI to analyze past weather data and provide a virtual experience that is optimal for the time period and time slot entered by the user. For example, a virtual experience is generated that is timed to coincide with the cherry blossom season in spring. The time input unit also analyzes past weather data based on the time period and time slot entered by the user, and builds a system that provides the optimal virtual experience. For example, a virtual experience is generated that is timed to coincide with the time slot when the lights are lit up at night. The time input unit also provides a virtual experience that is optimal for the time period and time slot entered by the user based on past weather data. For example, a virtual experience of a summer beach resort or a winter ski resort is generated. This allows the system to provide the optimal virtual experience for the time period and time slot desired by the user.

[0033] The time input unit can provide local event information and seasonal attractions based on the time and time period input by the user. The time input unit, for example, builds a system that provides local event information and seasonal attractions based on the time and time period input by the user. For example, it provides information on cherry blossom festivals in spring and fireworks displays in summer. The time input unit also provides local event information and seasonal attractions and provides a virtual experience tailored to the time and time period input by the user. For example, it provides information on autumn leaves and Christmas markets in winter. The time input unit also builds a system that provides local event information and seasonal attractions in real time based on the time and time period input by the user. For example, it reflects local live events and seasonal scenery in the virtual experience. This makes it possible to provide local information tailored to the time and time period desired by the user.

[0034] The providing unit can suggest handmade souvenirs from local artisans or artists based on a destination input by the user. For example, the providing unit builds a system that suggests handmade souvenirs from local artisans or artists based on a destination input by the user. For example, handmade crafts related to Kinkaku-ji Temple in Kyoto are suggested. The providing unit also suggests handmade souvenirs from local artisans or artists and provides a virtual experience tailored to the destination input by the user. For example, handmade accessories related to the Eiffel Tower in Paris are suggested. The providing unit also builds a system that suggests handmade souvenirs from local artisans or artists in real time based on a destination input by the user. For example, handmade artwork related to Times Square in New York is suggested. This allows the user to purchase local handmade souvenirs.

[0035] The providing unit can provide stories and background information about souvenirs purchased by users. The providing unit, for example, builds a system that provides stories and background information about souvenirs purchased by users. For example, the providing unit introduces the production process and history of a miniature Eiffel Tower. The providing unit also provides stories and background information about purchased souvenirs to deepen the user's purchasing experience. For example, the providing unit introduces the meaning behind the design of a postcard of Kinkaku-ji Temple. The providing unit also builds a system that provides stories and background information about souvenirs purchased by users in real time. For example, the providing unit provides an interview with the artist of an artwork in Times Square. This can deepen the user's purchasing experience.

[0036] The providing unit can provide a function that allows a user to chat and share impressions with other users in real time during a concert experience. The providing unit, for example, builds a system that provides a function that allows a user to chat and share impressions with other users in real time during a concert experience. For example, a chat function that allows a user to share impressions during a concert is provided. The providing unit also provides a function that allows chat and sharing impressions in real time, allowing a user to interact with other users during a concert experience. For example, a chat function that allows a user to share impressions during a concert is provided. The providing unit also builds a system that provides a function that allows a user to chat and share impressions with other users in real time during a concert experience. For example, a chat function that allows a user to share impressions during a concert is provided. This allows a user to interact with other users in real time.

[0037] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0038] The entertainment providing system can further include a health monitoring unit that monitors the user's health condition. For example, it can measure the user's heart rate and stress level and provide a relaxing virtual experience based on this. The health monitoring unit can also analyze the user's exercise volume and sleep patterns and suggest virtual experiences to support a healthy lifestyle. For example, if the user is not getting enough exercise, it can suggest a virtual walking tour. The health monitoring unit can also provide a virtual experience specialized for stress relief and relaxation based on the user's health data. This makes it possible to provide an optimal entertainment experience according to the user's health condition.

[0039] The entertainment delivery system may further include an educational content provider to motivate users to learn. For example, the educational content provider may provide educational virtual tours of historical places or cultural landmarks that interest the user. The educational content provider may also suggest relevant educational content based on the user's learning history and interests. For example, the educational content provider may provide new knowledge related to what the user has previously learned. The educational content provider may also motivate users to learn through interactive quizzes and assignments. This may provide a new experience that combines entertainment and education.

[0040] The entertainment delivery system may further include a social interaction unit to strengthen the user's social connections. For example, the system may provide a function that allows the user to chat and share impressions with other users in real time during the virtual experience. The social interaction unit may also provide a community function that allows the user to connect with other users who share common interests. For example, the system may provide a forum where users who are interested in the same place can interact with each other. The social interaction unit may also provide a matching function that allows the user to make new friends through the virtual experience. This strengthens the user's social connections and enriches the entertainment experience.

[0041] The entertainment delivery system may further include a feedback collection unit that collects user feedback and improves the quality of the virtual experience. For example, the system may provide a form in which users can enter their thoughts and opinions after the virtual experience. The feedback collection unit may also analyze the user feedback and identify areas for improvement in the virtual experience. For example, the system may correct problems pointed out by many users. The feedback collection unit may also suggest ideas for new virtual experiences based on the user feedback. This allows the system to provide a high-quality virtual experience that reflects user opinions.

[0042] The entertainment delivery system may further include a personalization unit that provides a virtual experience customized based on the user's preferences. For example, the personalization unit may suggest new experiences based on data on virtual experiences the user has enjoyed in the past. The personalization unit may also provide relevant virtual experiences based on the user's interests and hobbies. For example, a user who loves history may be suggested a virtual tour of historical sites. The personalization unit may also customize the content of the experience based on user feedback. This allows the system to provide the optimal virtual experience tailored to the user's preferences.

[0043] The entertainment delivery system may further include a replay function that records a user's virtual experience and allows the user to replay it later. For example, a user may save a particularly favorite virtual experience and re-enjoy it later. The replay function may also save screenshots and videos taken by the user during the virtual experience. For example, photos taken by the user during the virtual journey may be saved as an album. The replay function may also provide a function that allows the user to post the recording of the virtual experience to social media so that it can be shared with other users. This allows the user to look back on the virtual experience later and share it with others.

[0044] The processing flow of the first embodiment will be briefly explained below.

[0045] Step 1: In the location input section, the user inputs the location they want to go to. For example, the user can input a specific location such as "the Eiffel Tower in Paris" or "Kinkakuji Temple in Kyoto." Step 2: In the time input section, the user inputs the time and time period they wish to travel. For example, they can input specific conditions such as "when the cherry blossoms are in bloom in spring" or "when the area is lit up at night." Step 3: The generation unit generates a virtual experience based on the information input by the location input unit and the time input unit. For example, the generation AI generates a virtual experience based on the location and time input by the user. The generation AI uses a text generation AI (e.g., LLM) or a multimodal generation AI to generate a virtual experience tailored to the user's desired location and time. Step 4: The providing unit provides the virtual experience generated by the generating unit to the user. For example, the providing unit displays the generated virtual experience on the user's device. This allows the entertainment delivery system to provide entertainment to many people beyond physical limitations.

[0046] (Example 2) The entertainment delivery system according to an embodiment of the present invention is a system in which a user inputs the place they want to go and the time they want to travel, and a generation AI generates a virtual experience and provides it to the user. This allows the entertainment delivery system to provide entertainment to many people beyond physical limitations.

[0047] An entertainment delivery system according to an embodiment includes a location input unit, a time input unit, a generation unit, and a provision unit. The location input unit inputs a location the user wants to visit. For example, the user can input a specific location such as "the Eiffel Tower in Paris" or "Kinkaku-ji Temple in Kyoto." The time input unit inputs a time and time period the user wants to travel. For example, the user can input specific conditions such as "when cherry blossoms bloom in spring" or "when the lights are on at night." The generation unit generates a virtual experience based on the information input by the location input unit and the time input unit. For example, the generation AI generates a virtual experience based on the location and time period input by the user. The generation AI uses a text generation AI (e.g., LLM) or a multimodal generation AI to generate a virtual experience tailored to the user's desired location and time period. The provision unit provides the virtual experience generated by the generation unit to the user. For example, the provision unit displays the generated virtual experience on the user's device. This enables the entertainment delivery system to provide entertainment to many people beyond physical constraints.

[0048] The location input unit can analyze a user's past travel history and interests and automatically generate suggestions of places the user would like to visit. For example, the location input unit uses a generation AI to analyze a user's past travel history and suggest places the user has not visited but may be interested in. For example, it can suggest new cities with similar appeal based on the characteristics of cities previously visited. The location input unit also automatically generates suggestions of places the user would like to visit based on the user's interests and hobbies. For example, it can suggest historical sites to a history buff and natural parks to a nature lover. The location input unit can also analyze a user's social media posts and search history to suggest places the user would like to visit. For example, it can make suggestions based on tourist spots and events that the user frequently searches for. This makes it possible to suggest places the user would like to visit based on their interests.

[0049] The location input unit can provide detailed information about the local history and culture based on the location entered by the user. For example, the location input unit provides historical background and cultural information about the location entered by the user. For example, detailed information about the construction of the Eiffel Tower and the history of Paris is displayed. The location input unit also provides information about the local culture and traditions to deepen the virtual experience. For example, it introduces traditional events and cultural background related to Kinkaku-ji Temple in Kyoto. The location input unit also enriches the virtual experience by providing documentary footage and interviews related to the location entered by the user. For example, it conveys the appeal of the location through interviews with local residents and experts. This allows the user to gain a deeper understanding of the history and culture of the place they want to visit.

[0050] The location input unit can use the emotion estimation function to analyze the emotion a user has when entering a place they want to go, and suggest places that will elicit positive emotions. For example, the location input unit analyzes the emotion a user has when entering a place they want to go, and suggest places that will elicit positive emotions. For example, if the user looks happy, it suggests resorts and tourist attractions. The location input unit also uses the emotion estimation function to analyze the emotion a user has when entering a place in real time, and suggest places based on the emotion. For example, if the user wants to relax, it suggests places rich in nature. The location input unit also suggests places that have elicited positive emotions in the past, based on the user's emotion data. For example, it analyzes emotion data on places the user has visited in the past, and suggests similar places. This makes it possible to suggest places the user wants to go to based on their emotion.

[0051] The time input unit allows the generation AI to analyze past weather data and provide a virtual experience that is optimal for the time period and time slot entered by the user. For example, the time input unit allows the generation AI to analyze past weather data and provide a virtual experience that is optimal for the time period and time slot entered by the user. For example, a virtual experience is generated that is timed to coincide with the cherry blossom season in spring. The time input unit also analyzes past weather data based on the time period and time slot entered by the user, and builds a system that provides the optimal virtual experience. For example, a virtual experience is generated that is timed to coincide with the time slot when the lights are lit up at night. The time input unit also provides a virtual experience that is optimal for the time period and time slot entered by the user based on past weather data. For example, a virtual experience of a summer beach resort or a winter ski resort is generated. This allows the system to provide the optimal virtual experience for the time period and time slot desired by the user.

[0052] The time input unit can provide local event information and seasonal attractions based on the time and time period input by the user. The time input unit, for example, builds a system that provides local event information and seasonal attractions based on the time and time period input by the user. For example, it provides information on cherry blossom festivals in spring and fireworks displays in summer. The time input unit also provides local event information and seasonal attractions and provides a virtual experience tailored to the time and time period input by the user. For example, it provides information on autumn leaves and Christmas markets in winter. The time input unit also builds a system that provides local event information and seasonal attractions in real time based on the time and time period input by the user. For example, it reflects local live events and seasonal scenery in the virtual experience. This makes it possible to provide local information tailored to the time and time period desired by the user.

[0053] The time input unit uses the emotion estimation function to analyze the emotions associated with the time period and time zone input by the user, and can provide the most positive experience. The time input unit, for example, uses the emotion estimation function to analyze the emotions associated with the time period and time zone input by the user, and builds a system that provides the most positive experience. For example, if the user looks happy, events and attractions are suggested. The time input unit also analyzes the user's emotions and provides a virtual experience that is optimal for the time period and time zone input. For example, if the user feels like relaxing, a tranquil natural landscape is provided. The time input unit also uses the emotion estimation function to analyze the emotions associated with the time period and time zone input by the user in real time, and provides a positive experience. For example, an experience is provided that matches the time period and time zone in which the user had positive emotions in the past. This makes it possible to provide the optimal experience based on the user's emotions.

[0054] The providing unit can suggest handmade souvenirs from local artisans or artists based on a destination input by the user. For example, the providing unit builds a system that suggests handmade souvenirs from local artisans or artists based on a destination input by the user. For example, handmade crafts related to Kinkaku-ji Temple in Kyoto are suggested. The providing unit also suggests handmade souvenirs from local artisans or artists and provides a virtual experience tailored to the destination input by the user. For example, handmade accessories related to the Eiffel Tower in Paris are suggested. The providing unit also builds a system that suggests handmade souvenirs from local artisans or artists in real time based on a destination input by the user. For example, handmade artwork related to Times Square in New York is suggested. This allows the user to purchase local handmade souvenirs.

[0055] The providing unit can use the emotion estimation function to analyze the user's emotion regarding the souvenir to be purchased and suggest souvenirs that will elicit the most positive emotion. For example, the providing unit uses the emotion estimation function to build a system that analyzes the user's emotion regarding the souvenir to be purchased and suggests souvenirs that will elicit the most positive emotion. For example, if the user has a happy expression, it suggests a specific souvenir. The providing unit also analyzes the user's emotion and suggests the most suitable souvenir based on the user's emotion regarding the souvenir to be purchased. For example, if the user feels like relaxing, it suggests a soothing souvenir. The providing unit also uses the emotion estimation function to analyze the user's emotion regarding the souvenir to be purchased in real time and suggest souvenirs that will elicit positive emotion. For example, it suggests similar souvenirs based on souvenirs that the user has felt positive about in the past. This makes it possible to suggest the most suitable souvenir based on the user's emotion.

[0056] The providing unit can provide stories and background information about souvenirs purchased by users. The providing unit, for example, builds a system that provides stories and background information about souvenirs purchased by users. For example, the providing unit introduces the production process and history of a miniature Eiffel Tower. The providing unit also provides stories and background information about purchased souvenirs to deepen the user's purchasing experience. For example, the providing unit introduces the meaning behind the design of a postcard of Kinkaku-ji Temple. The providing unit also builds a system that provides stories and background information about souvenirs purchased by users in real time. For example, the providing unit provides an interview with the artist of an artwork in Times Square. This can deepen the user's purchasing experience.

[0057] The providing unit can use the emotion estimation function to analyze the emotions felt by the user during the concert experience and provide a performance that brings out the most positive emotions. The providing unit, for example, uses the emotion estimation function to build a system that analyzes the emotions felt by the user during the concert experience and provides a performance that brings out the most positive emotions. For example, if the user has a happy expression, a specific performance is provided. The providing unit also analyzes the user's emotions and provides an optimal performance during the concert experience. For example, if the user feels like relaxing, a quiet performance is provided. The providing unit also uses the emotion estimation function to analyze the emotions felt by the user during the concert experience in real time and provides a performance that brings out positive emotions. For example, a similar performance is provided based on a performance that the user previously felt positive about. This makes it possible to provide an optimal performance based on the user's emotions.

[0058] The providing unit can provide a function that allows a user to chat and share impressions with other users in real time during a concert experience. The providing unit, for example, builds a system that provides a function that allows a user to chat and share impressions with other users in real time during a concert experience. For example, a chat function that allows a user to share impressions during a concert is provided. The providing unit also provides a function that allows chat and sharing impressions in real time, allowing a user to interact with other users during a concert experience. For example, a chat function that allows a user to share impressions during a concert is provided. The providing unit also builds a system that provides a function that allows a user to chat and share impressions with other users in real time during a concert experience. For example, a chat function that allows a user to share impressions during a concert is provided. This allows a user to interact with other users in real time.

[0059] The providing unit can use the emotion estimation function to analyze the emotions felt by the user during an entertainment experience in real time and provide an experience based on the emotions. The providing unit, for example, uses the emotion estimation function to analyze the emotions felt by the user during an entertainment experience in real time and build a system that provides an experience based on the emotions. For example, if the user has a happy expression, a specific experience is provided. The providing unit also analyzes the user's emotions in real time and provides an optimal experience during the entertainment experience. For example, if the user feels like relaxing, a quiet experience is provided. The providing unit also uses the emotion estimation function to analyze the emotions felt by the user during an entertainment experience in real time and provides an experience that elicits positive emotions. For example, a similar experience is provided based on an experience in which the user had a positive emotion in the past. This makes it possible to provide an optimal entertainment experience based on the user's emotions.

[0060] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0061] The entertainment providing system can further include a health monitoring unit that monitors the user's health condition. For example, it can measure the user's heart rate and stress level and provide a relaxing virtual experience based on this. The health monitoring unit can also analyze the user's exercise volume and sleep patterns and suggest virtual experiences to support a healthy lifestyle. For example, if the user is not getting enough exercise, it can suggest a virtual walking tour. The health monitoring unit can also provide a virtual experience specialized for stress relief and relaxation based on the user's health data. This makes it possible to provide an optimal entertainment experience according to the user's health condition.

[0062] The entertainment delivery system may further include an educational content provider to motivate users to learn. For example, the educational content provider may provide educational virtual tours of historical places or cultural landmarks that interest the user. The educational content provider may also suggest relevant educational content based on the user's learning history and interests. For example, the educational content provider may provide new knowledge related to what the user has previously learned. The educational content provider may also motivate users to learn through interactive quizzes and assignments. This may provide a new experience that combines entertainment and education.

[0063] The entertainment providing system may further include an emotion customization unit that estimates the user's emotion and customizes the content of the virtual experience based on the estimated emotion. For example, if the user has a happy expression, a more exciting experience may be provided. The emotion customization unit may also provide a tranquil natural scene if the user feels like relaxing. The emotion customization unit may also recreate past experiences that elicited positive emotions based on the user's emotion data. This allows the system to provide an optimal virtual experience that matches the user's emotion.

[0064] The entertainment delivery system may further include a social interaction unit to strengthen the user's social connections. For example, the system may provide a function that allows the user to chat and share impressions with other users in real time during the virtual experience. The social interaction unit may also provide a community function that allows the user to connect with other users who share common interests. For example, the system may provide a forum where users who are interested in the same place can interact with each other. The social interaction unit may also provide a matching function that allows the user to make new friends through the virtual experience. This strengthens the user's social connections and enriches the entertainment experience.

[0065] The entertainment delivery system may further include a music customization unit that estimates the user's emotions and customizes the music and sounds of the virtual experience based on the estimated emotions. For example, if the user has a happy expression, upbeat music may be provided. The music customization unit may also provide calm music if the user feels like relaxing. The music customization unit may also play music that has previously elicited positive emotions based on the user's emotional data. This allows the system to provide an optimal music experience tailored to the user's emotions.

[0066] The entertainment delivery system may further include a feedback collection unit that collects user feedback and improves the quality of the virtual experience. For example, the system may provide a form in which users can enter their thoughts and opinions after the virtual experience. The feedback collection unit may also analyze the user feedback and identify areas for improvement in the virtual experience. For example, the system may correct problems pointed out by many users. The feedback collection unit may also suggest ideas for new virtual experiences based on the user feedback. This allows the system to provide a high-quality virtual experience that reflects user opinions.

[0067] The entertainment delivery system may further include a visual customization unit that estimates the user's emotions and customizes the visual effects of the virtual experience based on the estimated emotions. For example, if the user has a happy expression, vivid colors and dynamic effects may be provided. The visual customization unit may also provide calm colors and tranquil effects if the user feels like relaxing. The visual customization unit may also reproduce visual effects that previously elicited positive emotions based on the user's emotional data. This allows the system to provide an optimal visual experience according to the user's emotions.

[0068] The entertainment delivery system may further include a personalization unit that provides a virtual experience customized based on the user's preferences. For example, the personalization unit may suggest new experiences based on data on virtual experiences the user has enjoyed in the past. The personalization unit may also provide relevant virtual experiences based on the user's interests and hobbies. For example, a user who loves history may be suggested a virtual tour of historical sites. The personalization unit may also customize the content of the experience based on user feedback. This allows the system to provide the optimal virtual experience tailored to the user's preferences.

[0069] The entertainment delivery system may further include a narration customization unit that estimates the user's emotions and customizes the narration of the virtual experience based on the estimated emotions. For example, if the user has a happy expression, a bright and cheerful narration is provided. The narration customization unit may also provide a calming narration if the user feels like relaxing. The narration customization unit may also reproduce narration that previously elicited positive emotions based on the user's emotional data. This allows the system to provide an optimal narration experience that matches the user's emotions.

[0070] The entertainment delivery system may further include a replay function that records a user's virtual experience and allows the user to replay it later. For example, a user may save a particularly favorite virtual experience and re-enjoy it later. The replay function may also save screenshots and videos taken by the user during the virtual experience. For example, photos taken by the user during the virtual journey may be saved as an album. The replay function may also provide a function that allows the user to post the recording of the virtual experience to social media so that it can be shared with other users. This allows the user to look back on the virtual experience later and share it with others.

[0071] The processing flow of the second embodiment will be briefly explained below.

[0072] Step 1: In the location input section, the user inputs the location they want to go to. For example, the user can input a specific location such as "the Eiffel Tower in Paris" or "Kinkakuji Temple in Kyoto." Step 2: In the time input section, the user inputs the time and time period they wish to travel. For example, they can input specific conditions such as "when the cherry blossoms are in bloom in spring" or "when the area is lit up at night." Step 3: The generation unit generates a virtual experience based on the information input by the location input unit and the time input unit. For example, the generation AI generates a virtual experience based on the location and time input by the user. The generation AI uses a text generation AI (e.g., LLM) or a multimodal generation AI to generate a virtual experience tailored to the user's desired location and time. Step 4: The providing unit provides the virtual experience generated by the generating unit to the user. For example, the providing unit displays the generated virtual experience on the user's device. This allows the entertainment delivery system to provide entertainment to many people beyond physical limitations.

[0073] 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.

[0074] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> Examples of generative AIs include the data generation model 58, such as a neural network model (e.g., a neural network model), and a neural network model (e.g., a neural network model). The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating speech, text data indicating text, and image data indicating an image is also input to the data generation model 58. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specification processing unit 290 performs the above-mentioned specification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0075] 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.

[0076] [Second embodiment] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0077] 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.

[0078] 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.

[0079] 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.

[0080] 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.

[0081] 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).

[0082] 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.

[0083] 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.

[0084] 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.

[0085] 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 the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0086] 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. Note that the smart glasses 214 may have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[0087] 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.

[0088] 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.

[0089] 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.

[0090] 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.

[0091] [Third embodiment] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0092] 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.

[0093] 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.

[0094] 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.

[0095] 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.

[0096] 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).

[0097] 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.

[0098] 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.

[0099] 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.

[0100] 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 the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0101] In the headset type terminal 314, the identification process is performed by the processor 46. A identification program 60 is stored in the storage 50. The processor 46 reads the identification program 60 from the storage 50 and executes the read identification program 60 on the RAM 48. The identification process is realized by the processor 46 operating as a control unit 46A in accordance with the identification program 60 executed on the RAM 48. Note that the headset type terminal 314 may also have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[0102] 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.

[0103] 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.

[0104] 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.

[0105] 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.

[0106] [Fourth embodiment] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0107] 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.

[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 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.

[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 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).

[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] 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.

[0114] 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.

[0115] 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.

[0116] 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 the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0117] In the robot 414, the processor 46 performs the identification process. A identification program 60 is stored in the storage 50. The processor 46 reads the identification program 60 from the storage 50 and executes the read identification program 60 on the RAM 48. The identification process is realized by the processor 46 operating as a control unit 46A in accordance with the identification program 60 executed on the RAM 48. The robot 414 may have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[0118] 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.

[0119] 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.

[0120] 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.

[0121] 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.

[0122] 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.

[0123] 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.

[0124] 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.

[0125] 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).

[0126] 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.

[0127] 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."

[0128] 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.

[0129] 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.

[0130] 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.

[0131] 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.

[0132] 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.

[0133] 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.

[0134] 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.

[0135] 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.

[0136] 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.

[0137] 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.

[0138] 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.

[0139] 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]

[0140] 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 input section for inputting a location where the user wants to go; a time input section for inputting the time or time period when the user wishes to travel; a generator that generates a virtual experience based on the information input by the location input unit and the time input unit; a providing unit that provides the virtual experience generated by the generating unit to the user. A system characterized by:

2. The location input unit Analyzes users' past travel history and interests to automatically generate suggestions for places they want to visit 2. The system of claim 1.

3. The time input unit Generative AI analyzes past weather data to provide a virtual experience optimized for the time and date entered by the user.

2. The system of claim 1.

4. The providing unit Suggesting handmade souvenirs from local artisans or artists based on a destination you enter 2. The system of claim 1.

5. The providing unit Analyze the emotions felt by users during the concert experience and provide performances that bring out the most positive emotions 2. The system of claim 1.

6. The location input unit Analyzes emotions when users input the place they want to go and suggests places that will elicit positive emotions 2. The system of claim 1.

7. The time input unit Analyzes user sentiment based on time and date entered to provide the most positive experience 2. The system of claim 1.

8. The providing unit Analyzes users' feelings about the souvenirs they purchase and suggests souvenirs that evoke the most positive emotions 2. The system of claim 1.

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