System

Abstract

An object of the system according to the embodiment is to allow the general public to realize the possibility of the generative AI technology and learn how to utilize the technology in daily life and business.SOLUTION: A system according to an embodiment includes a free experience event holding unit, an educational course providing unit, and a smartphone utilization experience unit. The free experience event holding unit holds a free experience event of the generation AI technology. The educational course providing unit provides a short-term educational course for beginners. The smartphone utilization experience unit allows the user to experience a method of utilizing the generated AI in daily life or business using the smartphone.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] With conventional technology, generative AI technology has not been widely adopted, meaning that the general public has few opportunities to realize its potential.

[0005] The system of the embodiment aims to enable the general public to realize the potential of generative AI technology and learn how to use it in everyday life and business. [Means for solving the problem]

[0006] The system according to the embodiment includes a free trial event hosting unit, a seminar providing unit, and a smartphone usage experience unit. The free trial event hosting unit hosts free trial events for generative AI technology. The seminar providing unit provides short seminars for beginners. The smartphone usage experience unit allows users to experience how to use generative AI in everyday life or business using a smartphone. [Effects of the Invention]

[0007] The system according to the embodiment allows ordinary people to realize the potential of generative AI technology and learn how to use it in their daily lives and businesses. [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 experience system according to an embodiment of the present invention is a system that allows the general public to experience cutting-edge generative AI technology up close. This system holds free experience events at SoftBank stores, provides short workshops that even beginners can enjoy, and allows participants to experience how to use generative AI in everyday life and business using a smartphone. This allows the general public to experience generative AI technology up close and realize its potential.

[0029] The trial system according to the embodiment includes a free trial event hosting unit, a training course providing unit, and a smartphone usage experience unit. The free trial event hosting unit hosts a free trial event for generative AI technology. For example, it uses demonstration equipment installed in a store to demonstrate how the generative AI works. The free trial event hosting unit also provides personalized demonstrations based on participants' interests. For example, participants register their interests in advance, and the generative AI provides individually customized demonstrations based on that data. The training course providing unit offers short training sessions for beginners. For example, it provides basic knowledge such as how the generative AI generates text and analyzes images. The training course providing unit also hosts interactive sessions in which the generative AI answers participants' questions in real time. For example, participants can freely ask the generative AI questions, and the generative AI will respond on the spot. The smartphone usage experience unit allows participants to experience how to use generative AI in everyday life and business using a smartphone. For example, participants can learn how to use generative AI to manage schedules and create shopping lists. The smartphone experience section also allows users to experience how to use generative AI to edit photos and as a voice assistant. For example, users can use generative AI to apply filters to photos and set reminders using the voice assistant. This allows the experience system according to the embodiment to allow the general public to experience generative AI technology up close and realize its potential.

[0030] The free trial event hosting department can actually show how the generative AI works using demonstration equipment installed in the store. The free trial event hosting department can actually show how the generative AI works using demonstration equipment installed in the store. For example, they can demonstrate how the generative AI generates text in real time. The free trial event hosting department can also demonstrate how the generative AI analyzes images. For example, the generative AI can recognize objects in an image and display the results. This allows participants to visually understand how the generative AI works.

[0031] The seminar provider can provide basic knowledge such as how generative AI generates text and analyzes images. For example, the seminar provider can explain how generative AI generates text. For example, the seminar provider can explain the process by which generative AI generates new text based on input text data. The seminar provider can also explain how generative AI analyzes images. For example, the seminar provider can explain the process by which generative AI recognizes objects in an image and outputs the results. This allows participants to understand the basic mechanisms of generative AI.

[0032] The smartphone user experience group can learn how to use generative AI to manage schedules and create shopping lists. For example, participants in the smartphone user experience group learn how to use generative AI to manage schedules. For example, the generative AI automatically adds appointments and sets reminders. The smartphone user experience group also learns how to use generative AI to create shopping lists. For example, the generative AI adds needed products to the list and shares the list. This allows participants to learn how to use generative AI in their daily lives.

[0033] The smartphone experience section allows participants to experience how to use generative AI to edit photos and as a voice assistant. Participants in the smartphone experience section will experience how to use generative AI to edit photos, for example, by applying filters to photos and cropping images. Participants will also experience how to use generative AI as a voice assistant, for example, by having the generative AI receive voice instructions and set reminders. This allows participants to experience various ways in which generative AI can be used in everyday life.

[0034] The smartphone user experience group can learn how to use generative AI to set up automatic email replies and automatically generate meeting minutes. For example, the smartphone user experience group will learn how to use generative AI to set up automatic email replies. For example, the generative AI will create a reply template and send an automatic reply based on specific conditions. The smartphone user experience group will also learn how to use generative AI to automatically generate meeting minutes. For example, the generative AI will convert the audio of a meeting into text, extract the key points, and create minutes. This will allow participants to learn how generative AI can be used in business.

[0035] In the smartphone experience section, participants can experience how to use generative AI to perform data analysis and support business decision-making. In the smartphone experience section, participants can experience how to use generative AI to perform data analysis, for example, using generative AI to analyze sales data and predict trends. In the smartphone experience section, participants can also experience how generative AI can be used to support business decision-making, for example, using generative AI to analyze market data and propose optimal strategies. This allows participants to experience how generative AI can be used for business decision-making.

[0036] The Smartphone Experience Section allows participants to hold discussions to exchange opinions about how generative AI will evolve in the future and what new services and products it will create. The Smartphone Experience Section allows participants to hold discussions to exchange opinions about how generative AI will evolve in the future. For example, participants can exchange opinions about what new services and products generative AI will create. The Smartphone Experience Section also allows participants to hold discussions about the future of generative AI. For example, participants can exchange opinions about the impact and challenges that generative AI will have on society. This allows participants to exchange opinions about the future of generative AI and deepen their understanding.

[0037] The free trial event hosting unit can provide personalized demonstrations based on the interests and concerns of participants. For example, participants can register their interests and concerns in advance, and the generation AI can provide an individually customized demonstration based on that data. For example, a participant who is interested in music can be shown a demonstration in which the generation AI composes music. The free trial event hosting unit also allows the generation AI to provide demonstrations that are tailored to the participants' interests. For example, the generation AI can provide a demonstration on a specific theme based on the participants' interests. This makes it possible to provide demonstrations that are tailored to the participants' interests and concerns.

[0038] The free trial event hosting department can hold an interactive session in which the generating AI answers participants' questions in real time. The free trial event hosting department can, for example, hold an interactive session in which participants can freely ask the generating AI questions, and the generating AI can answer them on the spot. For example, the generating AI can answer questions about how the generating AI works and examples of its applications. The free trial event hosting department can also hold a session in which the generating AI answers participants' questions in real time. For example, the generating AI can instantly answer participants' questions, deepening their understanding. This allows participants to ask the generating AI questions in real time and deepen their understanding.

[0039] The free trial event hosting department can simultaneously hold free trial events online as well as in-store, thereby providing participants in remote locations with an opportunity to experience the product. The free trial event hosting department can, for example, use an online platform to provide free trial events to participants in remote locations. For example, a demonstration can be delivered through live streaming. The free trial event hosting department can also simultaneously hold free trial events online to provide participants in remote locations with an opportunity to experience the product. For example, a demonstration of generative AI can be held in a webinar format. This allows participants in remote locations to have an opportunity to experience generative AI.

[0040] The free trial event hosting unit can hold a game-style trial event using the generative AI, adding an element that allows participants to learn while having fun. For example, the free trial event hosting unit can hold a quiz-style game using the generative AI, allowing participants to learn about the generative AI while having fun. For example, participants can answer quizzes posed by the generative AI. The free trial event hosting unit can also hold a game-style trial event using the generative AI, adding an element that allows participants to learn while having fun. For example, a game can be held in which the generative AI competes against participants. This allows participants to learn about the generative AI while having fun.

[0041] The seminar providing unit can use the generation AI to provide customized seminar content according to the participants' level of understanding. For example, the seminar providing unit evaluates the participants' level of understanding in advance, and the generation AI provides customized seminar content based on that data. For example, from basic content for beginners to advanced content for advanced users. The seminar providing unit also uses the generation AI to adjust the seminar content in real time according to the participants' level of understanding. For example, if the participants' understanding is not advanced, the explanation is repeated. This makes it possible to provide seminar content according to the participants' level of understanding.

[0042] The seminar provision unit allows the generation AI to automatically summarize the contents of the seminar and distribute it to participants. For example, the seminar provision unit allows the generation AI to summarize the contents of the seminar in real time and distribute the summary to participants. For example, the summary is sent by email after the seminar ends. The seminar provision unit also allows the generation AI to automatically summarize the contents of the seminar and distribute it to participants. For example, the summary is printed and distributed. This allows participants to review the key points of the seminar later.

[0043] The seminar provision department can automatically translate the content of the seminar into different languages ​​to accommodate foreign participants. For example, the seminar provision department can introduce a system that uses generative AI to translate the content of the seminar into different languages ​​in real time. For example, it can support English, Chinese, Spanish, etc. The seminar provision department can also automatically translate the content of the seminar into different languages ​​to accommodate foreign participants. For example, it can distribute translated materials. This allows foreign participants to understand the content of the seminar.

[0044] The training course provider can add practical workshops using generative AI to provide participants with opportunities to learn by actually getting their hands on. For example, the training course provider can hold practical workshops using generative AI to provide participants with opportunities to learn by actually getting their hands on. For example, a workshop on generating text using generative AI. The training course provider can also provide project-based learning using generative AI. For example, participants can work on actual projects using generative AI. This allows participants to learn about generative AI in a practical way.

[0045] The Smartphone Usage Experience Department can use the Generative AI to propose personalized usage methods that suit the participant's lifestyle. For example, the Smartphone Usage Experience Department collects lifestyle data from participants in advance, and the Generative AI proposes personalized usage methods based on that data. For example, a schedule management method for busy businessmen. The Smartphone Usage Experience Department can also use the Generative AI to propose usage methods that suit the participant's lifestyle. For example, it can propose usage methods that suit hobbies and daily activities. This makes it possible to propose usage methods for the Generative AI that suit the participant's lifestyle.

[0046] In the smartphone usage experience section, the generating AI supports participants in operating their smartphones in real time and suggests optimal ways to use them. In the smartphone usage experience section, for example, the generating AI monitors participants' smartphone operations in real time and suggests optimal ways to use them, for example, by guiding them through operation procedures. In addition, in the smartphone usage experience section, the generating AI supports participants in operating their smartphones in real time and suggests optimal ways to use them, for example, by supporting them in how to use apps and customizing settings. This allows participants to operate their smartphones with the generating AI's support in real time.

[0047] The smartphone experience section allows participants to experience how the generative AI can be used on devices other than smartphones (for example, smartwatches and smart speakers). For example, the smartphone experience section allows participants to experience how the generative AI can support health management and fitness using a smartwatch. For example, by recording exercise and monitoring heart rate. The smartphone experience section also allows participants to experience how the generative AI can function as a voice assistant using a smart speaker. For example, by operating home appliances using voice commands. This allows participants to experience how the generative AI can be used on devices other than smartphones.

[0048] The smartphone usage experience section uses generative AI to simulate everyday life, allowing participants to experience how to use the smartphone in real-life situations. For example, the smartphone usage experience section uses generative AI to simulate everyday life, allowing participants to experience how to use a smartphone based on the scenario. For example, how to use it in a morning routine or during a commute. The smartphone usage experience section also uses generative AI to simulate everyday life, allowing participants to experience how to use the smartphone in real-life situations. For example, how to use it for home activities or hobby time is simulated. This allows participants to experience how to use generative AI through the simulation of everyday life.

[0049] The Smartphone Usage Experience Department can use the Generative AI to propose customized usage methods tailored to the participants' business needs. For example, the Smartphone Usage Experience Department collects the participants' business needs in advance, and the Generative AI proposes customized usage methods based on that data. For example, a customer management method for sales staff. The Smartphone Usage Experience Department also uses the Generative AI to propose usage methods tailored to the participants' business needs. For example, it proposes methods for marketing support and data analysis. This makes it possible to propose usage methods for the Generative AI that meet the participants' business needs.

[0050] The smartphone experience section allows participants to experience how generative AI analyzes business data in real time and supports optimal decision-making. For example, the smartphone experience section allows participants to experience how generative AI analyzes participants' business data in real time and supports optimal decision-making based on the results. For example, analyzing sales data and making market forecasts. The smartphone experience section also allows participants to experience how generative AI analyzes business data in real time and supports optimal decision-making. For example, generative AI analyzes data and proposes optimal strategies. This allows participants to experience how to analyze business data and make decisions with the support of generative AI in real time.

[0051] The smartphone experience section also allows participants to experience how generative AI can be used in business on devices other than smartphones (for example, tablets or laptops). In the smartphone experience section, participants can use tablets to experience how generative AI can support the creation of business presentations. For example, it can automatically generate slides and suggest designs. In addition, the smartphone experience section uses laptops to experience how generative AI can perform data analysis. For example, it can analyze sales data and make market forecasts. This allows participants to experience how generative AI can be used in business on devices other than smartphones.

[0052] The smartphone experience section runs business simulations using generative AI, allowing participants to experience how it can be used in actual business situations. For example, the smartphone experience section runs business simulations using generative AI, allowing participants to experience how to proceed with business based on the scenario. For example, a simulation of a marketing campaign. The smartphone experience section also runs business simulations using generative AI, allowing participants to experience how it can be used in actual business situations. For example, a simulation of project management or decision-making is carried out. This allows participants to experience how generative AI can be used in business through business simulations.

[0053] The smartphone user experience unit can use generative AI to aggregate participants' opinions in real time and support the progress of the discussion. For example, the smartphone user experience unit can use generative AI to aggregate participants' opinions in real time and support the progress of the discussion based on that data. For example, it can visualize similarities and differences between opinions. The smartphone user experience unit can also use generative AI to aggregate participants' opinions in real time and support the progress of the discussion. For example, it can adjust the direction of the discussion based on participants' opinions. This allows participants' opinions to be aggregated in real time and support the progress of the discussion.

[0054] In the smartphone usage experience section, the generation AI can automatically summarize the contents of the discussion and distribute it to the participants. In the smartphone usage experience section, for example, the generation AI can summarize the contents of the discussion in real time and distribute the summary to the participants. For example, the summary can be sent by email after the discussion has ended. In the smartphone usage experience section, the generation AI can automatically summarize the contents of the discussion and distribute it to the participants. For example, the summary can be printed and distributed. This allows participants to review the key points of the discussion later.

[0055] The Smartphone Experience Club simultaneously holds online discussions, allowing for a wide-ranging exchange of opinions, including participants in remote locations. The Smartphone Experience Club, for example, uses an online platform to simultaneously hold discussions, including participants in remote locations. For example, an exchange of opinions is carried out using a video conferencing system. The Smartphone Experience Club also simultaneously holds online discussions, allowing for a wide-ranging exchange of opinions, including participants in remote locations. For example, an exchange of opinions is carried out in real time using a chat function. This allows for a wide-ranging exchange of opinions, including participants in remote locations.

[0056] The Smartphone Experience Department can use generative AI to perform future prediction simulations and use the results as material for discussion. The Smartphone Experience Department can, for example, use generative AI to perform future prediction simulations and use the results as material for discussion. For example, predicting technological evolution and market changes. The Smartphone Experience Department can also use generative AI to perform future prediction simulations and use the results as material for discussion. For example, setting up scenarios and using predictive models. This allows the future prediction simulations to be used as material for discussion.

[0057] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0058] The free trial event hosting section will also be able to demonstrate the use of generative AI to generate artwork. For example, the AI ​​will paint a painting based on a theme selected by the participant. It will also be able to demonstrate the use of generative AI to compose music. For example, the AI ​​will generate a song based on a genre selected by the participant. This will allow participants to visually experience the diverse applications of generative AI.

[0059] The seminar provider can also explain how to create educational content using generative AI. For example, they will explain the process by which generative AI automatically generates teaching materials. They will also explain how generative AI evaluates students' learning progress in real time and provides individually customized learning plans. This will help participants understand how generative AI can be used in the education field.

[0060] The smartphone experience section allows participants to experience how to use a health management app that uses generative AI. For example, participants can experience how generative AI analyzes food records and evaluates nutritional balance. They can also experience how generative AI suggests fitness plans based on exercise records. This allows participants to learn how generative AI can be used in health management.

[0061] The smartphone experience section allows participants to experience how to create a travel plan using generative AI. For example, the generative AI suggests travel destinations and creates a schedule based on the participant's preferences. They can also experience how the generative AI recommends local tourist attractions and restaurants. This allows participants to learn how to use generative AI in travel planning.

[0062] The smartphone experience section also allows participants to experience how generative AI can be used to support creative projects. For example, participants can experience how generative AI creates storyboards based on their ideas. They can also experience how generative AI can make design suggestions. This allows participants to learn how generative AI can be used in creative fields.

[0063] The smartphone experience section also allows participants to experience how to use generative AI to manage their personal finances. For example, generative AI analyzes participants' income and expenses and suggests budgets. They can also experience how generative AI provides investment advice. This allows participants to learn how to use generative AI in personal financial management.

[0064] The Smartphone Experience Section also allows participants to experience how generative AI can be used to support remote work. For example, generative AI can analyze participants' work efficiency and propose optimal work schedules. Participants can also experience how generative AI can automatically generate minutes for online meetings. This allows participants to learn how generative AI can be used in remote work.

[0065] The processing flow of the first embodiment will be briefly explained below.

[0066] Step 1: The Free Trial Event Hosting Department will host a free trial event for the generative AI technology. For example, they will use demonstration equipment installed in a store to demonstrate how the generative AI works. They will also provide personalized demonstrations based on participants' interests. For example, participants can register their interests in advance, and the generative AI will provide individually customized demonstrations based on that data. Step 2: The training course provider will provide short training sessions for beginners. For example, they will provide basic knowledge such as how generative AI generates text or analyzes images. They will also hold interactive sessions in which the generative AI will answer participants' questions in real time. For example, participants can freely ask the generative AI questions, and the AI ​​will respond on the spot. Step 3: The smartphone experience section allows participants to experience how to use generative AI in everyday life and business using a smartphone. For example, they learn how to use generative AI to manage schedules and create shopping lists. They also experience how to use generative AI to edit photos and as a voice assistant. For example, they use generative AI to apply filters to photos and set reminders using a voice assistant.

[0067] (Example 2) The experience system according to an embodiment of the present invention is a system that allows the general public to experience cutting-edge generative AI technology up close. This system holds free experience events at SoftBank stores, provides short workshops that even beginners can enjoy, and allows participants to experience how to use generative AI in everyday life and business using a smartphone. This allows the general public to experience generative AI technology up close and realize its potential.

[0068] The trial system according to the embodiment includes a free trial event hosting unit, a training course providing unit, and a smartphone usage experience unit. The free trial event hosting unit hosts a free trial event for generative AI technology. For example, it uses demonstration equipment installed in a store to demonstrate how the generative AI works. The free trial event hosting unit also provides personalized demonstrations based on participants' interests. For example, participants register their interests in advance, and the generative AI provides individually customized demonstrations based on that data. The training course providing unit offers short training sessions for beginners. For example, it provides basic knowledge such as how the generative AI generates text and analyzes images. The training course providing unit also hosts interactive sessions in which the generative AI answers participants' questions in real time. For example, participants can freely ask the generative AI questions, and the generative AI will respond on the spot. The smartphone usage experience unit allows participants to experience how to use generative AI in everyday life and business using a smartphone. For example, participants can learn how to use generative AI to manage schedules and create shopping lists. The smartphone experience section also allows users to experience how to use generative AI to edit photos and as a voice assistant. For example, users can use generative AI to apply filters to photos and set reminders using the voice assistant. This allows the experience system according to the embodiment to allow the general public to experience generative AI technology up close and realize its potential.

[0069] The free trial event hosting department can actually show how the generative AI works using demonstration equipment installed in the store. The free trial event hosting department can actually show how the generative AI works using demonstration equipment installed in the store. For example, they can demonstrate how the generative AI generates text in real time. The free trial event hosting department can also demonstrate how the generative AI analyzes images. For example, the generative AI can recognize objects in an image and display the results. This allows participants to visually understand how the generative AI works.

[0070] The seminar provider can provide basic knowledge such as how generative AI generates text and analyzes images. For example, the seminar provider can explain how generative AI generates text. For example, the seminar provider can explain the process by which generative AI generates new text based on input text data. The seminar provider can also explain how generative AI analyzes images. For example, the seminar provider can explain the process by which generative AI recognizes objects in an image and outputs the results. This allows participants to understand the basic mechanisms of generative AI.

[0071] The smartphone user experience group can learn how to use generative AI to manage schedules and create shopping lists. For example, participants in the smartphone user experience group learn how to use generative AI to manage schedules. For example, the generative AI automatically adds appointments and sets reminders. The smartphone user experience group also learns how to use generative AI to create shopping lists. For example, the generative AI adds needed products to the list and shares the list. This allows participants to learn how to use generative AI in their daily lives.

[0072] The smartphone experience section allows participants to experience how to use generative AI to edit photos and as a voice assistant. Participants in the smartphone experience section will experience how to use generative AI to edit photos, for example, by applying filters to photos and cropping images. Participants will also experience how to use generative AI as a voice assistant, for example, by having the generative AI receive voice instructions and set reminders. This allows participants to experience various ways in which generative AI can be used in everyday life.

[0073] The smartphone user experience group can learn how to use generative AI to set up automatic email replies and automatically generate meeting minutes. For example, the smartphone user experience group will learn how to use generative AI to set up automatic email replies. For example, the generative AI will create a reply template and send an automatic reply based on specific conditions. The smartphone user experience group will also learn how to use generative AI to automatically generate meeting minutes. For example, the generative AI will convert the audio of a meeting into text, extract the key points, and create minutes. This will allow participants to learn how generative AI can be used in business.

[0074] In the smartphone experience section, participants can experience how to use generative AI to perform data analysis and support business decision-making. In the smartphone experience section, participants can experience how to use generative AI to perform data analysis, for example, using generative AI to analyze sales data and predict trends. In the smartphone experience section, participants can also experience how generative AI can be used to support business decision-making, for example, using generative AI to analyze market data and propose optimal strategies. This allows participants to experience how generative AI can be used for business decision-making.

[0075] The Smartphone Experience Section allows participants to hold discussions to exchange opinions about how generative AI will evolve in the future and what new services and products it will create. The Smartphone Experience Section allows participants to hold discussions to exchange opinions about how generative AI will evolve in the future. For example, participants can exchange opinions about what new services and products generative AI will create. The Smartphone Experience Section also allows participants to hold discussions about the future of generative AI. For example, participants can exchange opinions about the impact and challenges that generative AI will have on society. This allows participants to exchange opinions about the future of generative AI and deepen their understanding.

[0076] The free trial event hosting unit can provide personalized demonstrations based on the interests and concerns of participants. For example, participants can register their interests and concerns in advance, and the generation AI can provide an individually customized demonstration based on that data. For example, a participant who is interested in music can be shown a demonstration in which the generation AI composes music. The free trial event hosting unit also allows the generation AI to provide demonstrations that are tailored to the participants' interests. For example, the generation AI can provide a demonstration on a specific theme based on the participants' interests. This makes it possible to provide demonstrations that are tailored to the participants' interests and concerns.

[0077] The free trial event hosting department can hold an interactive session in which the generating AI answers participants' questions in real time. The free trial event hosting department can, for example, hold an interactive session in which participants can freely ask the generating AI questions, and the generating AI can answer them on the spot. For example, the generating AI can answer questions about how the generating AI works and examples of its applications. The free trial event hosting department can also hold a session in which the generating AI answers participants' questions in real time. For example, the generating AI can instantly answer participants' questions, deepening their understanding. This allows participants to ask the generating AI questions in real time and deepen their understanding.

[0078] The free trial event hosting department can use the emotion estimation function to analyze participants' emotional responses in real time and hold demonstrations that elicit positive responses. The free trial event hosting department introduces a system that analyzes participants' facial expressions and voices and estimates their emotions in real time. For example, when a participant shows interest, the generation AI provides additional information according to that interest. The free trial event hosting department can also use the emotion estimation function to analyze participants' emotional responses in real time and hold demonstrations that elicit positive responses. For example, when a participant smiles, the generation AI provides positive feedback according to that smile. This makes it possible to optimize the demonstration based on the participants' emotional responses.

[0079] The free trial event hosting department can simultaneously hold free trial events online as well as in-store, thereby providing participants in remote locations with an opportunity to experience the product. The free trial event hosting department can, for example, use an online platform to provide free trial events to participants in remote locations. For example, a demonstration can be delivered through live streaming. The free trial event hosting department can also simultaneously hold free trial events online to provide participants in remote locations with an opportunity to experience the product. For example, a demonstration of generative AI can be held in a webinar format. This allows participants in remote locations to have an opportunity to experience generative AI.

[0080] The free trial event hosting unit can hold a game-style trial event using the generative AI, adding an element that allows participants to learn while having fun. For example, the free trial event hosting unit can hold a quiz-style game using the generative AI, allowing participants to learn about the generative AI while having fun. For example, participants can answer quizzes posed by the generative AI. The free trial event hosting unit can also hold a game-style trial event using the generative AI, adding an element that allows participants to learn while having fun. For example, a game can be held in which the generative AI competes against participants. This allows participants to learn about the generative AI while having fun.

[0081] The seminar providing unit can use the generation AI to provide customized seminar content according to the participants' level of understanding. For example, the seminar providing unit evaluates the participants' level of understanding in advance, and the generation AI provides customized seminar content based on that data. For example, from basic content for beginners to advanced content for advanced users. The seminar providing unit also uses the generation AI to adjust the seminar content in real time according to the participants' level of understanding. For example, if the participants' understanding is not advanced, the explanation is repeated. This makes it possible to provide seminar content according to the participants' level of understanding.

[0082] The seminar provision unit allows the generation AI to automatically summarize the contents of the seminar and distribute it to participants. For example, the seminar provision unit allows the generation AI to summarize the contents of the seminar in real time and distribute the summary to participants. For example, the summary is sent by email after the seminar ends. The seminar provision unit also allows the generation AI to automatically summarize the contents of the seminar and distribute it to participants. For example, the summary is printed and distributed. This allows participants to review the key points of the seminar later.

[0083] The seminar providing unit can use the emotion estimation function to grasp the participants' level of understanding and interests in real time and adjust the seminar content. The seminar providing unit introduces a system that, for example, analyzes the participants' facial expressions and voices and estimates their level of understanding and interests in real time. For example, if their understanding is not progressing, the explanation is repeated. The seminar providing unit also uses the emotion estimation function to grasp the participants' level of understanding and interests in real time and adjust the seminar content. For example, detailed explanations are provided on topics in which the participants have shown interest. This makes it possible to provide seminar content that matches the participants' level of understanding and interests.

[0084] The seminar provision department can automatically translate the content of the seminar into different languages ​​to accommodate foreign participants. For example, the seminar provision department can introduce a system that uses generative AI to translate the content of the seminar into different languages ​​in real time. For example, it can support English, Chinese, Spanish, etc. The seminar provision department can also automatically translate the content of the seminar into different languages ​​to accommodate foreign participants. For example, it can distribute translated materials. This allows foreign participants to understand the content of the seminar.

[0085] The training course provider can add practical workshops using generative AI to provide participants with opportunities to learn by actually getting their hands on. For example, the training course provider can hold practical workshops using generative AI to provide participants with opportunities to learn by actually getting their hands on. For example, a workshop on generating text using generative AI. The training course provider can also provide project-based learning using generative AI. For example, participants can work on actual projects using generative AI. This allows participants to learn about generative AI in a practical way.

[0086] The seminar providing unit can use the emotion estimation function to provide additional courses based on the topics that participants are most interested in. The seminar providing unit, for example, analyzes the emotional responses of participants in real time and provides additional courses based on the topics that participants are most interested in. For example, detailed courses are provided on topics with high emotion scores. The seminar providing unit also uses the emotion estimation function to provide additional courses based on the topics that participants are most interested in. For example, in-depth courses are provided on specific topics based on the emotional responses of participants. This makes it possible to provide additional courses based on the interests of participants.

[0087] The Smartphone Usage Experience Department can use the Generative AI to propose personalized usage methods that suit the participant's lifestyle. For example, the Smartphone Usage Experience Department collects lifestyle data from participants in advance, and the Generative AI proposes personalized usage methods based on that data. For example, a schedule management method for busy businessmen. The Smartphone Usage Experience Department can also use the Generative AI to propose usage methods that suit the participant's lifestyle. For example, it can propose usage methods that suit hobbies and daily activities. This makes it possible to propose usage methods for the Generative AI that suit the participant's lifestyle.

[0088] In the smartphone usage experience section, the generating AI supports participants in operating their smartphones in real time and suggests optimal ways to use them. In the smartphone usage experience section, for example, the generating AI monitors participants' smartphone operations in real time and suggests optimal ways to use them, for example, by guiding them through operation procedures. In addition, in the smartphone usage experience section, the generating AI supports participants in operating their smartphones in real time and suggests optimal ways to use them, for example, by supporting them in how to use apps and customizing settings. This allows participants to operate their smartphones with the generating AI's support in real time.

[0089] The smartphone usage experience unit uses the emotion estimation function to identify the usage method that will evoke the most positive emotions in the participant and allow the participant to experience it. The smartphone usage experience unit, for example, analyzes the participant's emotional response in real time and identifies the usage method that will evoke the most positive emotions. For example, the unit prioritizes experiencing operation methods with high emotion scores. The smartphone usage experience unit also uses the emotion estimation function to identify the usage method that will evoke the most positive emotions in the participant and allow the participant to experience it. For example, the unit allows the participant to experience a specific operation method based on the participant's emotional response. This allows the participant to experience the usage method that will evoke the most positive emotions.

[0090] The smartphone experience section allows participants to experience how the generative AI can be used on devices other than smartphones (for example, smartwatches and smart speakers). For example, the smartphone experience section allows participants to experience how the generative AI can support health management and fitness using a smartwatch. For example, by recording exercise and monitoring heart rate. The smartphone experience section also allows participants to experience how the generative AI can function as a voice assistant using a smart speaker. For example, by operating home appliances using voice commands. This allows participants to experience how the generative AI can be used on devices other than smartphones.

[0091] The smartphone usage experience section uses generative AI to simulate everyday life, allowing participants to experience how to use the smartphone in real-life situations. For example, the smartphone usage experience section uses generative AI to simulate everyday life, allowing participants to experience how to use a smartphone based on the scenario. For example, how to use it in a morning routine or during a commute. The smartphone usage experience section also uses generative AI to simulate everyday life, allowing participants to experience how to use the smartphone in real-life situations. For example, how to use it for home activities or hobby time is simulated. This allows participants to experience how to use generative AI through the simulation of everyday life.

[0092] The smartphone usage experience unit can use the emotion estimation function to provide a special experience based on the everyday life scene that the participant is most interested in. For example, the smartphone usage experience unit analyzes the participant's emotional response in real time and provides a special experience based on the everyday life scene that the participant is most interested in. For example, a demonstration is performed regarding a scene with a high emotion score. The smartphone usage experience unit also uses the emotion estimation function to provide a special experience based on the everyday life scene that the participant is most interested in. For example, a detailed experience regarding a specific scene is provided based on the participant's emotional response. This makes it possible to provide a special experience based on the everyday life scene that the participant is most interested in.

[0093] The Smartphone Usage Experience Department can use the Generative AI to propose customized usage methods tailored to the participants' business needs. For example, the Smartphone Usage Experience Department collects the participants' business needs in advance, and the Generative AI proposes customized usage methods based on that data. For example, a customer management method for sales staff. The Smartphone Usage Experience Department also uses the Generative AI to propose usage methods tailored to the participants' business needs. For example, it proposes methods for marketing support and data analysis. This makes it possible to propose usage methods for the Generative AI that meet the participants' business needs.

[0094] The smartphone experience section allows participants to experience how generative AI analyzes business data in real time and supports optimal decision-making. For example, the smartphone experience section allows participants to experience how generative AI analyzes participants' business data in real time and supports optimal decision-making based on the results. For example, analyzing sales data and making market forecasts. The smartphone experience section also allows participants to experience how generative AI analyzes business data in real time and supports optimal decision-making. For example, generative AI analyzes data and proposes optimal strategies. This allows participants to experience how to analyze business data and make decisions with the support of generative AI in real time.

[0095] The smartphone experience section also allows participants to experience how generative AI can be used in business on devices other than smartphones (for example, tablets or laptops). In the smartphone experience section, participants can use tablets to experience how generative AI can support the creation of business presentations. For example, it can automatically generate slides and suggest designs. In addition, the smartphone experience section uses laptops to experience how generative AI can perform data analysis. For example, it can analyze sales data and make market forecasts. This allows participants to experience how generative AI can be used in business on devices other than smartphones.

[0096] The smartphone experience section runs business simulations using generative AI, allowing participants to experience how it can be used in actual business situations. For example, the smartphone experience section runs business simulations using generative AI, allowing participants to experience how to proceed with business based on the scenario. For example, a simulation of a marketing campaign. The smartphone experience section also runs business simulations using generative AI, allowing participants to experience how it can be used in actual business situations. For example, a simulation of project management or decision-making is carried out. This allows participants to experience how generative AI can be used in business through business simulations.

[0097] The smartphone usage experience unit can use the emotion estimation function to provide a special experience based on the business scene that the participant is most interested in. For example, the smartphone usage experience unit analyzes the participant's emotional reactions in real time and provides a special experience based on the business scene that the participant is most interested in. For example, a demonstration is performed regarding a scene with a high emotion score. The smartphone usage experience unit also uses the emotion estimation function to provide a special experience based on the business scene that the participant is most interested in. For example, a detailed experience regarding a specific business scene is provided based on the participant's emotional reactions. This makes it possible to provide a special experience based on the business scene that the participant is most interested in.

[0098] The smartphone user experience unit can use generative AI to aggregate participants' opinions in real time and support the progress of the discussion. For example, the smartphone user experience unit can use generative AI to aggregate participants' opinions in real time and support the progress of the discussion based on that data. For example, it can visualize similarities and differences between opinions. The smartphone user experience unit can also use generative AI to aggregate participants' opinions in real time and support the progress of the discussion. For example, it can adjust the direction of the discussion based on participants' opinions. This allows participants' opinions to be aggregated in real time and support the progress of the discussion.

[0099] In the smartphone usage experience section, the generation AI can automatically summarize the contents of the discussion and distribute it to the participants. In the smartphone usage experience section, for example, the generation AI can summarize the contents of the discussion in real time and distribute the summary to the participants. For example, the summary can be sent by email after the discussion has ended. In the smartphone usage experience section, the generation AI can automatically summarize the contents of the discussion and distribute it to the participants. For example, the summary can be printed and distributed. This allows participants to review the key points of the discussion later.

[0100] The smartphone user experience unit can use the emotion estimation function to analyze the emotional responses of participants and promote a positive exchange of opinions. The smartphone user experience unit, for example, analyzes the emotional responses of participants in real time and provides feedback to promote a positive exchange of opinions. For example, opinions with high emotion scores are emphasized. The smartphone user experience unit also uses the emotion estimation function to analyze the emotional responses of participants and promote a positive exchange of opinions. For example, constructive feedback is provided based on the emotional responses of participants. This makes it possible to promote a positive exchange of opinions based on the emotional responses of participants.

[0101] The Smartphone Experience Club simultaneously holds online discussions, allowing for a wide-ranging exchange of opinions, including participants in remote locations. The Smartphone Experience Club, for example, uses an online platform to simultaneously hold discussions, including participants in remote locations. For example, an exchange of opinions is carried out using a video conferencing system. The Smartphone Experience Club also simultaneously holds online discussions, allowing for a wide-ranging exchange of opinions, including participants in remote locations. For example, an exchange of opinions is carried out in real time using a chat function. This allows for a wide-ranging exchange of opinions, including participants in remote locations.

[0102] The Smartphone Experience Department can use generative AI to perform future prediction simulations and use the results as material for discussion. The Smartphone Experience Department can, for example, use generative AI to perform future prediction simulations and use the results as material for discussion. For example, predicting technological evolution and market changes. The Smartphone Experience Department can also use generative AI to perform future prediction simulations and use the results as material for discussion. For example, setting up scenarios and using predictive models. This allows the future prediction simulations to be used as material for discussion.

[0103] The smartphone user experience unit can use the emotion estimation function to provide special discussions based on future themes that interest participants most. The smartphone user experience unit, for example, analyzes participants' emotional responses in real time and provides special discussions based on future themes that interest participants most. For example, it holds discussions on topics with high emotion scores. The smartphone user experience unit also uses the emotion estimation function to provide special discussions based on future themes that interest participants most. For example, it holds detailed discussions on specific future themes based on participants' emotional responses. This makes it possible to provide special discussions based on future themes that interest participants most.

[0104] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0105] The experience system may further include an emotion estimation unit that estimates the participant's emotions and adjusts the experience content based on the estimated emotions. For example, when a participant expresses interest, the generation AI provides additional information according to that interest. Also, when a participant feels anxious, the generation AI adds an explanation to ease the anxiety. This allows the system to provide an optimal experience according to the participant's emotions.

[0106] The free trial event hosting section will also be able to demonstrate the use of generative AI to generate artwork. For example, the AI ​​will paint a painting based on a theme selected by the participant. It will also be able to demonstrate the use of generative AI to compose music. For example, the AI ​​will generate a song based on a genre selected by the participant. This will allow participants to visually experience the diverse applications of generative AI.

[0107] The seminar provider can also explain how to create educational content using generative AI. For example, they will explain the process by which generative AI automatically generates teaching materials. They will also explain how generative AI evaluates students' learning progress in real time and provides individually customized learning plans. This will help participants understand how generative AI can be used in the education field.

[0108] The smartphone experience section allows participants to experience how to use a health management app that uses generative AI. For example, participants can experience how generative AI analyzes food records and evaluates nutritional balance. They can also experience how generative AI suggests fitness plans based on exercise records. This allows participants to learn how generative AI can be used in health management.

[0109] The smartphone experience section allows participants to experience how to create a travel plan using generative AI. For example, the generative AI suggests travel destinations and creates a schedule based on the participant's preferences. They can also experience how the generative AI recommends local tourist attractions and restaurants. This allows participants to learn how to use generative AI in travel planning.

[0110] The smartphone experience section also allows participants to experience how generative AI can be used to support creative projects. For example, participants can experience how generative AI creates storyboards based on their ideas. They can also experience how generative AI can make design suggestions. This allows participants to learn how generative AI can be used in creative fields.

[0111] The smartphone experience section will also allow participants to experience mental health support methods using generative AI. For example, generative AI will analyze participants' emotions and suggest relaxation methods. Participants will also be able to experience how generative AI can provide advice for stress management. This will allow participants to learn how generative AI can be used in mental health care.

[0112] The smartphone experience section also allows participants to experience how to use generative AI to manage their personal finances. For example, generative AI analyzes participants' income and expenses and suggests budgets. They can also experience how generative AI provides investment advice. This allows participants to learn how to use generative AI in personal financial management.

[0113] The Smartphone Experience Section also allows participants to experience how generative AI can be used to support remote work. For example, generative AI can analyze participants' work efficiency and propose optimal work schedules. Participants can also experience how generative AI can automatically generate minutes for online meetings. This allows participants to learn how generative AI can be used in remote work.

[0114] The smartphone experience section can also use emotion estimation to analyze participants' stress levels in real time and suggest relaxation methods. For example, if a participant feels high levels of stress, the AI ​​generator will play relaxation music. The AI ​​generator will also suggest breathing techniques to reduce stress. This provides participants with an experience that helps them manage their stress.

[0115] The smartphone experience section can also use its emotion estimation function to analyze participants' motivation in real time and provide feedback to boost their motivation. For example, if a participant loses motivation, the AI ​​generator can send them an encouraging message. The AI ​​generator can also provide advice on how to achieve their goals. This makes it easier for participants to maintain their motivation.

[0116] The processing flow of the second embodiment will be briefly explained below.

[0117] Step 1: The Free Trial Event Hosting Department will host a free trial event for the generative AI technology. For example, they will use demonstration equipment installed in a store to demonstrate how the generative AI works. They will also provide personalized demonstrations based on participants' interests. For example, participants can register their interests in advance, and the generative AI will provide individually customized demonstrations based on that data. Step 2: The training course provider will provide short training sessions for beginners. For example, they will provide basic knowledge such as how generative AI generates text or analyzes images. They will also hold interactive sessions in which the generative AI will answer participants' questions in real time. For example, participants can freely ask the generative AI questions, and the AI ​​will respond on the spot. Step 3: The smartphone experience section allows participants to experience how to use generative AI in everyday life and business using a smartphone. For example, they learn how to use generative AI to manage schedules and create shopping lists. They also experience how to use generative AI to edit photos and as a voice assistant. For example, they use generative AI to apply filters to photos and set reminders using a voice assistant.

[0118] 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.

[0119] 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.

[0120] 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.

[0121] [Second embodiment] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0122] 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.

[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 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.

[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. 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.

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

[0131] 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.

[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 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.

[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 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.

[0136] [Third embodiment] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0137] 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.

[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 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.

[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 (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).

[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] 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.

[0144] 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.

[0145] 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.

[0146] 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.

[0147] 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.

[0148] 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.

[0149] 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.

[0150] 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.

[0151] [Fourth embodiment] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0152] 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.

[0153] 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.

[0154] 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.

[0155] 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.

[0156] 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).

[0157] 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.

[0158] 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.

[0159] 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.

[0160] 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.

[0161] 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.

[0162] 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.

[0163] 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.

[0164] 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.

[0165] 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.

[0166] 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.

[0167] 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.

[0168] 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.

[0169] 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.

[0170] 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).

[0171] 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.

[0172] 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."

[0173] 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.

[0174] 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.

[0175] 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.

[0176] 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.

[0177] 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.

[0178] 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.

[0179] 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.

[0180] 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.

[0181] 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.

[0182] 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.

[0183] 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.

[0184] 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]

[0185] 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 free trial event organization that holds free trial events for generative AI technology, The seminar section provides short seminars for beginners, A smartphone usage experience unit that allows users to experience how to use generative AI in everyday life or business using a smartphone. A system characterized by:

2. The free trial event organizing department: In addition to in-store events, the free trial events will also be held online, providing participants in remote locations with the opportunity to experience the product.

2. The system of claim 1.

3. The seminar providing unit Using the generative AI, customized training content is provided according to the participants' level of understanding.

2. The system of claim 1.

4. The smartphone usage experience department Using the generative AI, we propose personalized ways of using the system that fit the participants' lifestyles.

2. The system of claim 1.

5. The free trial event organizing department: Analyze participants' emotional responses in real time and demonstrate how to elicit positive responses.

2. The system of claim 1.

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