system

Abstract

The system according to this embodiment aims to provide a personalized tourism experience that fuses digital technology with traditional Japanese elements. [Solution] The system according to this embodiment comprises an AR HoloLens, a scroll-type portable monitor, an inro-type device, a free app with advertisements, and an experience generation unit. The AR HoloLens is suitable for Japanese clothing. The scroll-type portable monitor has a Japanese paper and brush texture. The inro-type device performs contactless payment. The free app with advertisements provides an AR space experience. The experience generation unit generates a personalized experience using a generation AI.

Description

Technical Field

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

Background Art

[0002] Patent Document 1 discloses a method for controlling a persona chatbot, which is performed by at least one processor, and includes steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a character of the chatbot, 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

Summary of the Invention

Problems to be Solved by the Invention

[0004] In the conventional technology, the provision of tourism services that integrate digital technology and traditional Japanese elements has not been sufficiently carried out, and there is room for improvement.

[0005] The system according to the embodiment aims to provide a personalized tourism experience that integrates digital technology and traditional Japanese elements.

Means for Solving the Problems

[0006] The system according to this embodiment comprises an AR HoloLens, a scroll-type portable monitor, an inro-type device, a free app with advertisements, and an experience generation unit. The AR HoloLens is suitable for Japanese clothing. The scroll-type portable monitor has a Japanese paper and brush-like texture. The inro-type device performs contactless payment. The free app with advertisements provides an AR space experience. The experience generation unit generates personalized experiences using a generation AI. [Effects of the Invention]

[0007] The system according to this embodiment can provide a personalized tourism experience that combines digital technology with traditional Japanese elements. [Brief explanation of the drawing]

[0008] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Modes for carrying out the invention]

[0009] Hereinafter, an example of an embodiment of the system relating to the technology of this disclosure will be described with reference to the attached drawings.

[0010] First, let's explain the terminology used in the following explanation.

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

[0012] In the following embodiments, signed RAM (Random Access Memory) is a memory that temporarily stores information and is used as work memory by the processor.

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

[0014] In the following embodiments, the numbered communication I / F (Interface) is an interface including a communication processor, an antenna, and the like. The communication I / F manages communication between a plurality of 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), or Bluetooth (registered trademark).

[0015] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B". That is, "A and / or B" means that it may be only A, only B, or a combination of A and B. Also, in this specification, when expressing three or more matters connected by "and / or", the same concept as "A and / or B" is applied.

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

[0017] As shown in FIG. 1, the 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, the RAM 30, and the storage 32 are connected to a bus 34. Also, the database 24 and the communication I / F 26 are 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 comprises a computer 36, a receiving device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The receiving device 38, output device 40, and camera 42 are also connected to the bus 52.

[0020] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, and accepts user input. The touch panel 38A accepts user input via touch by detecting contact with an object (e.g., a pen or finger). The microphone 38B accepts user input via voice by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 (see Figure 2) acquires the data indicating the user input.

[0021] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user by outputting the data in a form perceptible to the user (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0022] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

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

[0024] As shown in Figure 2, in the data processing device 12, a specific processing 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" related to the technology of this 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 processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0025] Storage 32 stores the data generation model 58 and the 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 emotions using the emotion identification model 59 and perform identification processing using the user's emotions. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotions, including but not limited to these examples. Furthermore, emotion estimation and prediction also include, for example, emotion analysis.

[0026] In the smart device 14, specific processing is performed by the processor 46. The storage 50 stores a specific processing program 60. The specific processing program 60 is used in conjunction 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 a control unit 46A according to the specific processing program 60 executed on the RAM 48. The smart device 14 also has a data generation model 58 and an emotion identification model 59, similar to the data generation model and emotion identification model 59, and can perform processing similar to that of the specific processing unit 290 using these models.

[0027] Furthermore, other devices besides the data processing device 12 may also 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 processing results (such as prediction results) using the data generation model 58 by communicating with the server device having the data generation model 58. The data processing device 12 may also be a server device or a terminal device owned by a user (e.g., a mobile phone, robot, home appliance, etc.). Next, an example of processing by the data processing system 10 according to the first embodiment will be described.

[0028] (Example of form 1) The tourism service system according to an embodiment of the present invention is an innovative tourism service that fuses digital technology with traditional Japanese elements. This tourism service system is a mechanism that provides both real and virtual experiences. The real experience combines Japanese-style cosplay and a location-based game and includes the following elements: First, it uses AR HoloLens that matches the Japanese-style clothing and provides a real-time translation function. Next, it displays location information using a scroll-shaped portable monitor with a Japanese paper and brush texture. Furthermore, it performs contactless payment using an inro-shaped device. The virtual experience provides a social game that allows users to travel through a tourist space across time and space. The AR space experience is possible through a free app with advertisements and in-app purchases. Generative AI is used to personalize the guidance story and visuals according to the user's interests and the level of crowding. For example, the user enjoys Japanese-style cosplay while wearing AR HoloLens. This HoloLens provides a real-time translation function and is also suitable for foreign tourists. For example, it can translate and display Japanese signs and information boards in English or other languages. Next, it displays location information with a Japanese paper and brush texture using a scroll-shaped portable monitor. This allows the user to check their current location and destination while enjoying the traditional Japanese atmosphere. Furthermore, contactless payments will be made using an inro-shaped device. For example, it can be used for entrance fees at tourist destinations and the purchase of souvenirs. As a virtual experience, a social game will be offered in which users travel through tourist spaces across time and space. Users can download a free app with advertisements and enjoy AR experiences through in-app purchases. Generative AI will be used to personalize the guidance story and visuals according to the user's interests and the level of crowding. For example, users can experience a story in which they tour tourist destinations as samurai or ninja characters. In crowded tourist destinations, the generative AI will also analyze the crowding situation in real time and suggest the optimal route for the user. This system allows users to enjoy both real and virtual experiences. Users can enjoy sightseeing while enjoying traditional Japanese elements through Japanese-style cosplay and location-based games. In addition, by utilizing generative AI, personalized experiences tailored to each individual user can be provided.This will enhance the enjoyment of tourism and improve user satisfaction. As a result, the tourism service system can provide innovative tourism services that blend digital technology with traditional Japanese elements.

[0029] The tourism service system according to this embodiment comprises an AR HoloLens, a scroll-type portable monitor, an inro-type device, a free app with advertisements, and a personalized experience generation unit using generation AI. The AR HoloLens has a design that matches Japanese clothing and provides a real-time translation function. For example, the AR HoloLens can translate and display Japanese signs and information boards into English or other languages. The AR HoloLens can also dynamically adjust the displayed content based on the user's gaze and movements. Furthermore, the AR HoloLens can estimate the user's emotions and adjust the translation expression method based on the estimated emotions. The scroll-type portable monitor has a design with a Japanese paper and brushstroke feel and displays location information. For example, the scroll-type portable monitor can display the current location or destination in a Japanese paper and brushstroke style. Furthermore, the scroll-type portable monitor can dynamically update according to the user's current location or destination. Furthermore, the scroll-type portable monitor can estimate the user's emotions and adjust the display method of location information based on the estimated emotions. The inro-type device is a device for contactless payment. The Inro-shaped device can be used, for example, to pay entrance fees or purchase souvenirs at tourist destinations. Furthermore, the Inro-shaped device can estimate the user's emotions and adjust the payment confirmation method based on those emotions. It can also display recommended products based on the user's purchase history. The ad-supported free app provides AR experiences through in-app purchases. For example, the ad-supported free app allows users to experience a story where they tour tourist destinations as samurai or ninja characters. It can also display optimal advertisements based on the user's behavior history. Furthermore, the ad-supported free app can estimate the user's emotions and adjust the advertisement display method based on those emotions. The generative AI-powered personalized experience generation unit personalizes the guidance story and visuals according to the user's interests and the level of crowding. For example, the generative AI-powered personalized experience generation unit can generate a story where the user tours tourist destinations as samurai or ninja characters.Furthermore, the AI-powered personalized experience generation unit can estimate the user's emotions and adjust the content of the guided story based on those emotions. In addition, the AI-powered personalized experience generation unit can generate the optimal experience based on the user's past behavioral history. As a result, the tourism service system according to this embodiment can provide innovative tourism services that fuse digital technology with traditional Japanese elements.

[0030] The AR HoloLens is designed to complement traditional Japanese clothing and offers real-time translation functionality. Specifically, the AR HoloLens is designed to harmonize with traditional Japanese attire, making it ideal for use in tourist areas. The real-time translation function instantly translates Japanese signs and information boards into English or other languages ​​when the user sees them. This feature is extremely useful for tourists to enjoy sightseeing smoothly without feeling a language barrier. Furthermore, the AR HoloLens can detect the user's gaze and movements and dynamically adjust the displayed content accordingly. For example, if the user is focusing on a particular sign, it can enlarge the information on that sign or add more detailed explanations. The AR HoloLens also has a function to estimate the user's emotions; for example, if the user makes a surprised expression, it can simplify the translation, adjusting it according to the user's emotions. This allows the user to have a more natural and comfortable experience.

[0031] The scroll-shaped mobile monitor features a design inspired by traditional Japanese washi paper and brushstrokes, and displays location information. Specifically, the scroll-shaped mobile monitor's design replicates the texture of traditional Japanese washi paper and brushstrokes, making it visually appealing for use in tourist areas. By displaying the current location and destination in a washi paper and brushstroke style, users can experience the feeling of holding an ancient map. The scroll-shaped mobile monitor also has a GPS function, allowing it to display the user's current location in real time. Furthermore, it can dynamically update map information according to the destination and display the optimal route. It also has a function that estimates the user's emotions; for example, if it indicates that the user is lost, it can provide more detailed guidance or audio guidance. This allows users to explore tourist destinations without getting lost and have a more fulfilling sightseeing experience.

[0032] The Inro-shaped device is a device for contactless payment. Specifically, the Inro-shaped device mimics the shape of a traditional Japanese inro (small container), making it visually appealing for use in tourist areas. This device can be used for paying entrance fees and purchasing souvenirs at tourist destinations, enabling contactless payment. Users can complete payments simply by holding the device over the reader, eliminating the need to take out cash or cards. The Inro-shaped device also has a function to estimate the user's emotions; for example, if the user shows an anxious expression, it can display payment confirmation instructions more carefully. Furthermore, it has a function to display recommended products based on the user's purchase history, suggesting items that the user might be interested in, thereby increasing their desire to purchase. As a result, users can enjoy shopping at tourist destinations comfortably and efficiently.

[0033] Ad-supported free apps offer AR experiences through in-app purchases. Specifically, users can download the app and explore tourist destinations for free, but purchases are required to use certain items or features. For example, users can experience a story exploring tourist destinations as a samurai or ninja character, and by purchasing certain items, they can participate in deeper experiences or special events. Ad-supported free apps also have a function to display the most relevant ads based on the user's browsing history, thereby increasing advertising effectiveness by showing ads that the user is likely to be interested in. Furthermore, there is a function to estimate the user's emotions, allowing for adjustments based on their mood; for example, displaying more ads when the user appears to be enjoying themselves. This allows users to accept ads naturally without feeling intrusive.

[0034] The AI-powered personalized experience generation unit personalizes guided stories and visuals according to the user's interests and the level of crowding. Specifically, the AI ​​analyzes the user's past behavior history and current interests, and based on that, generates the optimal sightseeing route and experience. For example, if a user is interested in historical buildings, the AI ​​can generate a story that takes them to historical sites suitable for them. It can also grasp the crowding situation at tourist sites in real time and suggest routes to avoid crowds. Furthermore, the AI ​​can estimate the user's emotions, and if the user appears tired, for example, it can suggest rest spots or places to relax. As a result, users can get the most suitable sightseeing experience and make their stay at tourist destinations more fulfilling.

[0035] AR HoloLens can provide real-time translation functionality. For example, AR HoloLens can translate and display Japanese signs and information boards into English or other languages. AR HoloLens can also dynamically adjust the displayed content based on the user's gaze and movements. AR HoloLens can also estimate the user's emotions and adjust the translation's expression based on those emotions. This allows for the provision of real-time translation functionality that can accommodate foreign tourists. The real-time translation functionality is implemented, for example, using a translation engine. The translation engine supports multiple languages ​​and translates into the language selected by the user. Some or all of the above processing in AR HoloLens may be performed, for example, using generative AI, or without generative AI. For example, AR HoloLens can input the user's gaze data into a generative AI and have the generative AI adjust the displayed content based on the gaze.

[0036] The scroll-type mobile monitor can display location information in a Japanese paper and brushstroke style. For example, it can display the current location or destination in a Japanese paper and brushstroke style. The scroll-type mobile monitor can also dynamically update according to the user's current location or destination. The scroll-type mobile monitor can also estimate the user's emotions and adjust the way location information is displayed based on the estimated emotions. This allows users to check their location while enjoying a traditional Japanese atmosphere. The Japanese paper and brushstroke style location information can be expressed in a Japanese paper and brushstroke style, for example, through the design of the map or the format of the information display. Some or all of the above processing in the scroll-type mobile monitor may be performed using, for example, a generative AI, or without a generative AI. For example, the scroll-type mobile monitor can input the user's current location data into a generative AI and have the generative AI update the display content based on the current location.

[0037] The Inro-type device can perform contactless payments. It can be used, for example, for paying entrance fees or purchasing souvenirs at tourist destinations. The Inro-type device can also estimate the user's emotions and adjust the payment confirmation method based on those emotions. It can also display recommended products based on the user's purchase history. This allows for contactless payments that can be used for things like paying entrance fees or purchasing souvenirs at tourist destinations. Contactless payments are implemented, for example, using a communication protocol. The communication protocol is secure and allows for safe payments. Some or all of the above-described processes in the Inro-type device may be performed, for example, using a generative AI, or without a generative AI. For example, the Inro-type device can input the user's purchase history data into a generative AI and have the generative AI display recommended products based on that purchase history.

[0038] Ad-supported free apps can offer AR experiences through in-app purchases. For example, an ad-supported free app could allow users to experience a story where they tour tourist destinations as a samurai or ninja character. Ad-supported free apps can also display ads that are most relevant to the user's browsing history. Ad-supported free apps can also estimate the user's emotions and adjust how ads are displayed based on those emotions. This allows users to enjoy AR experiences through the ad-supported free app. In-app purchases are implemented, for example, by clearly defining the types of in-app purchase items, their pricing, and how to purchase them. Some or all of the above processes in an ad-supported free app may be performed using, for example, a generative AI, or not. For example, an ad-supported free app can input user browsing history data into a generative AI and have the generative AI display the most relevant ads based on that browsing history.

[0039] The AI-powered personalized experience generation unit can personalize guided stories and visuals according to the user's interests and the level of crowding. For example, the AI-powered personalized experience generation unit can generate a story in which the user tours a tourist destination as a samurai or ninja character. The AI-powered personalized experience generation unit can also estimate the user's emotions and adjust the content of the guided story based on those emotions. The AI-powered personalized experience generation unit can also generate the optimal experience based on the user's past behavioral history. This allows for the provision of personalized experiences tailored to each individual user. The user's interests and the level of crowding are identified, for example, using data collection methods and analysis algorithms. Some or all of the above processing in the AI-powered personalized experience generation unit is performed using the AI. For example, the AI ​​takes user interest data and crowding data as input and outputs personalized guided stories and visuals.

[0040] AR HoloLens can customize its display content according to the type and design of the Japanese clothing. For example, AR HoloLens can adjust its display content to match the color and pattern of the Japanese clothing. AR HoloLens can also change the layout of the displayed information depending on the type of Japanese clothing (kimono, yukata, etc.). AR HoloLens can also customize the font and color of the displayed information based on the design of the Japanese clothing. This allows it to provide display content tailored to the Japanese clothing. The types and designs of Japanese clothing are classified, for example, based on the type and design pattern of the kimono. Some or all of the above processing in AR HoloLens is performed using a generative AI. For example, AR HoloLens can input Japanese clothing design data into the generative AI and have the generative AI perform the customization of the display content based on the design.

[0041] AR HoloLens can dynamically adjust its display content based on the user's gaze and movements. For example, when the user looks in a particular direction, AR HoloLens can display information related to that direction. AR HoloLens can also update its display content in accordance with the user's gaze movements as they walk. AR HoloLens can also switch the display content when the user performs a specific gesture. This allows it to provide display content that responds to the user's gaze and movements. Specific methods and technologies for detecting the user's gaze and movements include, for example, eye-tracking technology and motion sensors. Some or all of the above processing in AR HoloLens is performed using generative AI. For example, AR HoloLens can input the user's gaze data into the generative AI and have the generative AI perform adjustments to the display content based on the gaze.

[0042] AR HoloLens can provide nearby tourist information based on the user's location. For example, when the user approaches a specific tourist spot, AR HoloLens can display information about that spot. AR HoloLens can also guide the user to nearby tourist spots along the route they are walking. AR HoloLens can also display historical background information related to a location when the user reaches that location. This allows for the provision of tourist information based on the user's location. Specific methods and technologies for acquiring the user's location information include, for example, GPS and beacons. Some or all of the above processing in AR HoloLens is performed using generative AI. For example, AR HoloLens can input the user's location data into the generative AI and have the generative AI perform the task of providing location-based tourist information.

[0043] AR HoloLens can display relevant historical and cultural information based on the user's interests. For example, if a user shows interest in a particular building, AR HoloLens can display the historical background of that building. If a user shows interest in a particular event, AR HoloLens can also display the cultural background of that event. If a user shows interest in a particular region, AR HoloLens can also display information about the history and culture of that region. This allows AR HoloLens to provide historical and cultural information tailored to the user's interests. The specific methods and criteria for identifying user interests are determined, for example, based on survey results or past behavioral history. Some or all of the above processing in AR HoloLens is performed using generative AI. For example, AR HoloLens can input user interest data into the generative AI and have the generative AI display historical and cultural information based on those interests.

[0044] The scroll-type portable monitor can dynamically update according to the user's current location and destination. For example, the scroll-type portable monitor updates its display content in real time as the user moves from their current location. The scroll-type portable monitor can also provide more detailed display content as the user approaches their destination. The scroll-type portable monitor can also display information related to a specific location when the user reaches that location. This allows for dynamic updates according to the user's current location and destination. Specific methods and technologies for obtaining the user's current location and destination are implemented using, for example, GPS or beacons. Some or all of the above-described processes in the scroll-type portable monitor may be performed using or without a generative AI. For example, the scroll-type portable monitor can input the user's current location data into a generative AI and have the generative AI perform updates to the display content based on the current location.

[0045] A scroll-type portable monitor can improve display technology to reproduce the texture of washi paper and the touch of a brush. For example, a scroll-type portable monitor can use a high-resolution display to realistically reproduce the texture of washi paper. A scroll-type portable monitor can also introduce special ink technology to reproduce the touch of a brush. A scroll-type portable monitor can also develop a display method that combines the texture of washi paper and the touch of a brush. This makes it possible to provide display technology that realistically reproduces the texture of washi paper and the touch of a brush. Specific technologies and methods for reproducing the texture of washi paper and the touch of a brush are realized, for example, using display technology and drawing algorithms. Some or all of the above processing in the scroll-type portable monitor may be performed using a generative AI, or it may be performed without a generative AI. For example, a scroll-type portable monitor can input washi paper texture data into a generative AI and have the generative AI perform the reproduction of the texture.

[0046] The scroll-type mobile monitor can display recommended sightseeing routes based on the user's past visit history. For example, the scroll-type mobile monitor can suggest recommended sightseeing routes based on tourist destinations the user has visited in the past. The scroll-type mobile monitor can also suggest routes that avoid crowds based on the user's past visit history. The scroll-type mobile monitor can also analyze the user's past visit history and suggest the most efficient sightseeing route. This allows the system to provide recommended sightseeing routes based on the user's past visit history. Specific methods and technologies for obtaining the user's past visit history include, for example, using location history and app usage history. Some or all of the above-described processes in the scroll-type mobile monitor may be performed using or without a generative AI. For example, the scroll-type mobile monitor can input the user's visit history data into a generative AI and have the generative AI suggest sightseeing routes based on the visit history.

[0047] A scroll-type mobile monitor can provide relevant event information based on the user's interests. For example, when a user expresses interest in a particular event, the scroll-type mobile monitor can display information about that event. When a user expresses interest in a particular region, the scroll-type mobile monitor can also provide information about events held in that region. The scroll-type mobile monitor can also display the schedule of relevant events based on the user's interests. This allows for the provision of relevant event information tailored to the user's interests. The specific methods and criteria for identifying the user's interests are determined, for example, based on survey results or past behavioral history. Some or all of the above processing in the scroll-type mobile monitor may be performed using or without a generative AI. For example, the scroll-type mobile monitor can input user interest data into a generative AI and have the generative AI provide event information based on those interests.

[0048] The Inro-type device can display recommended products based on the user's purchase history. For example, the Inro-type device can suggest recommended products based on products the user has purchased in the past. The Inro-type device can also suggest related products from the user's purchase history. The Inro-type device can also analyze the user's purchase history and suggest the most popular products. This allows the device to provide recommended products based on the user's purchase history. The specific methods and technologies for obtaining the user's purchase history are implemented, for example, using purchase history data and loyalty card information. Some or all of the above processing in the Inro-type device may be performed using a generative AI, or it may be performed without a generative AI. For example, the Inro-type device can input the user's purchase history data into a generative AI and have the generative AI display recommended products based on the purchase history.

[0049] The Inro-type device can improve technologies to enhance the security of contactless payments. For example, the Inro-type device can introduce biometric authentication technology to strengthen payment security. The Inro-type device can also improve encryption technology to ensure data security. The Inro-type device can also introduce multi-factor authentication to improve payment security. This provides technologies to improve the security of contactless payments. Specific technologies and methods for improving the security of contactless payments are implemented, for example, using encryption technology and authentication protocols. Some or all of the above-mentioned processes in the Inro-type device may be performed using generative AI, or not. For example, the Inro-type device can input data for security enhancement into the generative AI and have the generative AI execute technological improvements for security enhancement.

[0050] An Inro-type device can provide information about nearby stores based on the user's location. For example, when the user is in a specific location, the Inro-type device can display information about stores near that location. The Inro-type device can also update information about nearby stores in real time while the user is on the move. The Inro-type device can also display detailed information about a specific store when the user approaches that store. This allows for the provision of nearby store information based on the user's location. Specific methods and technologies for acquiring the user's location information include, for example, using GPS or beacons. Some or all of the above-described processes in the Inro-type device may be performed using generative AI, or they may be performed without generative AI. For example, the Inro-type device can input the user's location data into a generative AI and have the generative AI perform the provision of store information based on the location information.

[0051] The Inro-type device can display relevant coupon information based on the user's interests. For example, when a user shows interest in a particular product, the Inro-type device can display coupon information related to that product. When a user shows interest in a particular store, the Inro-type device can also provide coupon information for that store. The Inro-type device can also prioritize the display of relevant coupon information based on the user's interests. This allows the device to provide relevant coupon information tailored to the user's interests. The specific methods and criteria for identifying the user's interests are determined, for example, based on survey results or past behavioral history. Some or all of the above processing in the Inro-type device may be performed using a generative AI, or it may be performed without a generative AI. For example, the Inro-type device can input user interest data into a generative AI and have the generative AI provide coupon information based on those interests.

[0052] Ad-supported free apps can display the most relevant ads based on the user's behavior history within the app. For example, an ad-supported free app can display relevant ads based on products the user has previously viewed. An ad-supported free app can also suggest ads that the user might be interested in based on their behavior history. An ad-supported free app can also analyze the user's behavior patterns and display the most effective ads. This allows for the provision of optimal ads based on the user's behavior history. Specific methods and technologies for obtaining user behavior history include, for example, using app usage history and click data. Some or all of the above processes in an ad-supported free app may be performed using generative AI, or they may not. For example, an ad-supported free app can input user behavior history data into a generative AI and have the generative AI display the most relevant ads based on that behavior history.

[0053] Ad-supported free apps can dynamically adjust the frequency and timing of ad displays based on user behavior. For example, an ad-supported free app can reduce the frequency of ad displays if a user uses the app frequently. It can also display ads according to the user's usage patterns during specific time periods. Ad-supported free apps can also optimize the timing of ad displays based on user behavior. This allows for ad display frequency and timing tailored to user behavior. Specific methods and criteria for identifying user behavior may be determined based on, for example, active time and usage frequency. Some or all of the above processes in ad-supported free apps may be performed using or without generative AI. For example, an ad-supported free app can input user behavior data into a generative AI and have the AI ​​adjust the frequency and timing of ad displays based on that behavior.

[0054] Ad-supported free apps can display location-specific advertisements based on the user's location within the app. For example, an ad-supported free app can display location-related advertisements when the user is in a specific area. Ad-supported free apps can also update location-based advertisements in real time while the user is on the move. Ad-supported free apps can also display advertisements for specific stores when the user approaches those stores. This allows for the provision of location-specific advertisements based on the user's location. Specific methods and technologies for obtaining the user's location information include, for example, using GPS or beacons. Some or all of the above processes in an ad-supported free app may be performed using generative AI, or they may not. For example, an ad-supported free app can input the user's location data into a generative AI and have the generative AI execute the display of location-based, location-specific advertisements.

[0055] Ad-supported free apps can display advertisements for relevant products and services based on the user's interests within the app. For example, an ad-supported free app can display advertisements related to a product when the user shows interest in that product. It can also display advertisements related to a service when the user shows interest in that service. An ad-supported free app can also prioritize displaying advertisements for relevant products and services based on the user's interests. This allows for the provision of advertisements for relevant products and services that match the user's interests. The specific methods and criteria for identifying user interests are determined, for example, based on survey results or past behavioral history. Some or all of the above processes in an ad-supported free app may be performed using generative AI, or not. For example, an ad-supported free app can input user interest data into a generative AI and have the generative AI display advertisements for products and services based on those interests.

[0056] The personalized experience generation unit powered by generative AI can generate optimal experiences based on a user's past behavioral history. For example, it can suggest optimal experiences based on places the user has visited in the past. It can also suggest experiences that the user might be interested in based on their past behavioral history. The personalized experience generation unit powered by generative AI can also analyze the user's behavioral patterns and generate the most effective experiences. This allows it to provide optimal experiences based on the user's past behavioral history. Specific methods and technologies for obtaining the user's past behavioral history include, for example, using location history and app usage history. Some or all of the above-described processes in the personalized experience generation unit powered by generative AI are performed using generative AI. For example, the personalized experience generation unit powered by generative AI can input user behavioral history data into the generative AI and have the generative AI generate optimal experiences based on that behavioral history.

[0057] The AI-powered personalized experience generation unit can dynamically update the experience content according to the user's current situation and environment. For example, when a user is in a specific location, the AI-powered personalized experience generation unit can provide an experience relevant to that location. The AI-powered personalized experience generation unit can also update the experience in real time based on the user's current location while the user is on the move. The AI-powered personalized experience generation unit can also optimize the experience content according to the user's environment. This allows the system to provide an experience tailored to the user's current situation and environment. Specific methods and criteria for identifying the user's current situation and environment are determined based on, for example, weather information and surrounding congestion. Some or all of the above processing in the AI-powered personalized experience generation unit is performed using the AI. For example, the AI-powered personalized experience generation unit can input the user's current location data into the AI ​​and have the AI ​​update the experience content based on the current situation and environment.

[0058] The personalized experience generation unit powered by generative AI can suggest the optimal sightseeing route based on the user's location information. For example, when the user approaches a specific tourist destination, the personalized experience generation unit powered by generative AI can display information about that destination. The personalized experience generation unit powered by generative AI can also guide the user to nearby tourist spots along the route they are walking. When the user reaches a specific location, the personalized experience generation unit powered by generative AI can also display historical background information related to that location. This allows for the provision of the optimal sightseeing route based on the user's location information. Specific methods and technologies for acquiring the user's location information include, for example, using GPS or beacons. Some or all of the above-described processes in the personalized experience generation unit powered by generative AI are performed using generative AI. For example, the personalized experience generation unit powered by generative AI can input the user's location information data into the generative AI and have the generative AI perform location-based sightseeing route suggestions.

[0059] The personalized experience generation unit powered by generative AI can provide relevant historical and cultural information based on the user's interests. For example, if a user shows interest in a particular building, the personalized experience generation unit can display the historical background of that building. If a user shows interest in a particular event, the personalized experience generation unit can also display the cultural background of that event. If a user shows interest in a particular region, the personalized experience generation unit can also display information about the history and culture of that region. This allows for the provision of relevant historical and cultural information tailored to the user's interests. The specific methods and criteria for identifying user interests are determined, for example, based on survey results or past behavioral history. Some or all of the above processing in the personalized experience generation unit powered by generative AI is performed using generative AI. For example, the personalized experience generation unit powered by generative AI can input user interest data into the generative AI and have the generative AI provide historical and cultural information based on those interests.

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

[0061] The tourism service system can monitor the user's health status and suggest sightseeing routes and activities based on that status. For example, it can measure the user's heart rate and steps in real time and suggest rest stops if the user is highly fatigued. Furthermore, if the user has a specific health condition (e.g., allergies or pre-existing medical conditions), it can suggest safe restaurants and activities based on that information. It can also analyze the user's health data and generate the optimal sightseeing route. This allows for a safe and comfortable sightseeing experience tailored to the user's health status.

[0062] A tourism service system can suggest the next travel destination based on a user's past travel history. For example, it can analyze data on tourist destinations and activities the user has visited in the past and suggest destinations that match similar interests. Furthermore, it can suggest the best time and route to avoid crowds based on the user's past travel history. It can also suggest tourist destinations related to specific themes (e.g., history, nature, art) based on the user's travel history. This allows the system to provide the next travel destination that best suits the user's interests.

[0063] The tourism service system can suggest nearby tourist attractions and activities in real time based on the user's location. For example, when a user approaches a specific tourist attraction, it can display information and activities related to that attraction. Furthermore, it can update tourist attractions and events based on the user's current location in real time while the user is on the move. It can also display historical background and cultural information related to a specific location when the user reaches that location. This allows for the provision of an optimal tourism experience based on the user's location.

[0064] The tourism service system can suggest relevant workshops and experiential programs based on the user's interests. For example, if a user expresses interest in traditional crafts, it can suggest craft workshops held in that region. If a user expresses interest in cooking, it can suggest local cooking classes or food tours. Furthermore, if a user expresses interest in art, it can suggest art galleries or art events. This allows the system to provide the most suitable workshops and experiential programs tailored to the user's interests.

[0065] The tourism service system can suggest recommended souvenirs and products based on the user's past purchase history. For example, it can suggest related souvenirs and products based on items the user has purchased in the past. Furthermore, it can suggest popular items and limited-edition items based on the user's purchase history. It can also analyze the user's purchase history and suggest products related to specific themes (e.g., traditional crafts, local specialties). This allows the system to provide the most suitable souvenirs and products based on the user's purchase history.

[0066] The following briefly describes the processing flow for example form 1.

[0067] Step 1: The AR HoloLens has a design that complements traditional Japanese clothing and provides real-time translation functionality. For example, it can translate and display Japanese signs and information boards into English or other languages. It can also dynamically adjust the displayed content based on the user's gaze and movements, and even estimate the user's emotions to adjust the translation's expression. Step 2: The scroll-type portable monitor features a Japanese paper and brushstroke-inspired design and displays location information. For example, it can display the current location or destination in a Japanese paper and brushstroke style, and dynamically update according to the user's current location or destination. It can also estimate the user's emotions and adjust the way location information is displayed based on those emotions. Step 3: The Inro-type device is a device for contactless payment. For example, it can be used for paying entrance fees at tourist attractions or purchasing souvenirs. It can also estimate the user's emotions and adjust the payment confirmation method based on those emotions. Furthermore, it can display recommended products based on the user's purchase history. Step 4: Free apps with ads offer AR experiences through in-app purchases. For example, users can experience a story where they tour tourist destinations as samurai or ninja characters. The app can also display ads that are most relevant to the user's browsing history. Furthermore, it can estimate the user's emotions and adjust how ads are displayed based on those emotions. Step 5: The AI-powered personalized experience generation unit personalizes the guided story and visuals according to the user's interests and the level of crowding. For example, it can generate a story in which the user tours a tourist spot as a samurai or ninja character. It can also estimate the user's emotions and adjust the content of the guided story based on those emotions. Furthermore, it can generate the optimal experience based on the user's past behavior history.

[0068] (Example of form 2) The tourism service system according to an embodiment of the present invention is an innovative tourism service that fuses digital technology with traditional Japanese elements. This tourism service system is a mechanism that provides both real and virtual experiences. The real experience combines Japanese-style cosplay and a location-based game and includes the following elements: First, it uses AR HoloLens that matches the Japanese-style clothing and provides a real-time translation function. Next, it displays location information using a scroll-shaped portable monitor with a Japanese paper and brush texture. Furthermore, it performs contactless payment using an inro-shaped device. The virtual experience provides a social game that allows users to travel through a tourist space across time and space. The AR space experience is possible through a free app with advertisements and in-app purchases. Generative AI is used to personalize the guidance story and visuals according to the user's interests and the level of crowding. For example, the user enjoys Japanese-style cosplay while wearing AR HoloLens. This HoloLens provides a real-time translation function and is also suitable for foreign tourists. For example, it can translate and display Japanese signs and information boards in English or other languages. Next, it displays location information with a Japanese paper and brush texture using a scroll-shaped portable monitor. This allows the user to check their current location and destination while enjoying the traditional Japanese atmosphere. Furthermore, contactless payments will be made using an inro-shaped device. For example, it can be used for entrance fees at tourist destinations and the purchase of souvenirs. As a virtual experience, a social game will be offered in which users travel through tourist spaces across time and space. Users can download a free app with advertisements and enjoy AR experiences through in-app purchases. Generative AI will be used to personalize the guidance story and visuals according to the user's interests and the level of crowding. For example, users can experience a story in which they tour tourist destinations as samurai or ninja characters. In crowded tourist destinations, the generative AI will also analyze the crowding situation in real time and suggest the optimal route for the user. This system allows users to enjoy both real and virtual experiences. Users can enjoy sightseeing while enjoying traditional Japanese elements through Japanese-style cosplay and location-based games. In addition, by utilizing generative AI, personalized experiences tailored to each individual user can be provided.This will enhance the enjoyment of tourism and improve user satisfaction. As a result, the tourism service system can provide innovative tourism services that blend digital technology with traditional Japanese elements.

[0069] The tourism service system according to this embodiment comprises an AR HoloLens, a scroll-type portable monitor, an inro-type device, a free app with advertisements, and a personalized experience generation unit using generation AI. The AR HoloLens has a design that matches Japanese clothing and provides a real-time translation function. For example, the AR HoloLens can translate and display Japanese signs and information boards into English or other languages. The AR HoloLens can also dynamically adjust the displayed content based on the user's gaze and movements. Furthermore, the AR HoloLens can estimate the user's emotions and adjust the translation expression method based on the estimated emotions. The scroll-type portable monitor has a design with a Japanese paper and brushstroke feel and displays location information. For example, the scroll-type portable monitor can display the current location or destination in a Japanese paper and brushstroke style. Furthermore, the scroll-type portable monitor can dynamically update according to the user's current location or destination. Furthermore, the scroll-type portable monitor can estimate the user's emotions and adjust the display method of location information based on the estimated emotions. The inro-type device is a device for contactless payment. The Inro-shaped device can be used, for example, to pay entrance fees or purchase souvenirs at tourist destinations. Furthermore, the Inro-shaped device can estimate the user's emotions and adjust the payment confirmation method based on those emotions. It can also display recommended products based on the user's purchase history. The ad-supported free app provides AR experiences through in-app purchases. For example, the ad-supported free app allows users to experience a story where they tour tourist destinations as samurai or ninja characters. It can also display optimal advertisements based on the user's behavior history. Furthermore, the ad-supported free app can estimate the user's emotions and adjust the advertisement display method based on those emotions. The generative AI-powered personalized experience generation unit personalizes the guidance story and visuals according to the user's interests and the level of crowding. For example, the generative AI-powered personalized experience generation unit can generate a story where the user tours tourist destinations as samurai or ninja characters.Furthermore, the AI-powered personalized experience generation unit can estimate the user's emotions and adjust the content of the guided story based on those emotions. In addition, the AI-powered personalized experience generation unit can generate the optimal experience based on the user's past behavioral history. As a result, the tourism service system according to this embodiment can provide innovative tourism services that fuse digital technology with traditional Japanese elements.

[0070] The AR HoloLens is designed to complement traditional Japanese clothing and offers real-time translation functionality. Specifically, the AR HoloLens is designed to harmonize with traditional Japanese attire, making it ideal for use in tourist areas. The real-time translation function instantly translates Japanese signs and information boards into English or other languages ​​when the user sees them. This feature is extremely useful for tourists to enjoy sightseeing smoothly without feeling a language barrier. Furthermore, the AR HoloLens can detect the user's gaze and movements and dynamically adjust the displayed content accordingly. For example, if the user is focusing on a particular sign, it can enlarge the information on that sign or add more detailed explanations. The AR HoloLens also has a function to estimate the user's emotions; for example, if the user makes a surprised expression, it can simplify the translation, adjusting it according to the user's emotions. This allows the user to have a more natural and comfortable experience.

[0071] The scroll-shaped mobile monitor features a design inspired by traditional Japanese washi paper and brushstrokes, and displays location information. Specifically, the scroll-shaped mobile monitor's design replicates the texture of traditional Japanese washi paper and brushstrokes, making it visually appealing for use in tourist areas. By displaying the current location and destination in a washi paper and brushstroke style, users can experience the feeling of holding an ancient map. The scroll-shaped mobile monitor also has a GPS function, allowing it to display the user's current location in real time. Furthermore, it can dynamically update map information according to the destination and display the optimal route. It also has a function that estimates the user's emotions; for example, if it indicates that the user is lost, it can provide more detailed guidance or audio guidance. This allows users to explore tourist destinations without getting lost and have a more fulfilling sightseeing experience.

[0072] The Inro-shaped device is a device for contactless payment. Specifically, the Inro-shaped device mimics the shape of a traditional Japanese inro (small container), making it visually appealing for use in tourist areas. This device can be used for paying entrance fees and purchasing souvenirs at tourist destinations, enabling contactless payment. Users can complete payments simply by holding the device over the reader, eliminating the need to take out cash or cards. The Inro-shaped device also has a function to estimate the user's emotions; for example, if the user shows an anxious expression, it can display payment confirmation instructions more carefully. Furthermore, it has a function to display recommended products based on the user's purchase history, suggesting items that the user might be interested in, thereby increasing their desire to purchase. As a result, users can enjoy shopping at tourist destinations comfortably and efficiently.

[0073] Ad-supported free apps offer AR experiences through in-app purchases. Specifically, users can download the app and explore tourist destinations for free, but purchases are required to use certain items or features. For example, users can experience a story exploring tourist destinations as a samurai or ninja character, and by purchasing certain items, they can participate in deeper experiences or special events. Ad-supported free apps also have a function to display the most relevant ads based on the user's browsing history, thereby increasing advertising effectiveness by showing ads that the user is likely to be interested in. Furthermore, there is a function to estimate the user's emotions, allowing for adjustments based on their mood; for example, displaying more ads when the user appears to be enjoying themselves. This allows users to accept ads naturally without feeling intrusive.

[0074] The AI-powered personalized experience generation unit personalizes guided stories and visuals according to the user's interests and the level of crowding. Specifically, the AI ​​analyzes the user's past behavior history and current interests, and based on that, generates the optimal sightseeing route and experience. For example, if a user is interested in historical buildings, the AI ​​can generate a story that takes them to historical sites suitable for them. It can also grasp the crowding situation at tourist sites in real time and suggest routes to avoid crowds. Furthermore, the AI ​​can estimate the user's emotions, and if the user appears tired, for example, it can suggest rest spots or places to relax. As a result, users can get the most suitable sightseeing experience and make their stay at tourist destinations more fulfilling.

[0075] AR HoloLens can provide real-time translation functionality. For example, AR HoloLens can translate and display Japanese signs and information boards into English or other languages. AR HoloLens can also dynamically adjust the displayed content based on the user's gaze and movements. AR HoloLens can also estimate the user's emotions and adjust the translation's expression based on those emotions. This allows for the provision of real-time translation functionality that can accommodate foreign tourists. The real-time translation functionality is implemented, for example, using a translation engine. The translation engine supports multiple languages ​​and translates into the language selected by the user. Some or all of the above processing in AR HoloLens may be performed, for example, using generative AI, or without generative AI. For example, AR HoloLens can input the user's gaze data into a generative AI and have the generative AI adjust the displayed content based on the gaze.

[0076] The scroll-type mobile monitor can display location information in a Japanese paper and brushstroke style. For example, it can display the current location or destination in a Japanese paper and brushstroke style. The scroll-type mobile monitor can also dynamically update according to the user's current location or destination. The scroll-type mobile monitor can also estimate the user's emotions and adjust the way location information is displayed based on the estimated emotions. This allows users to check their location while enjoying a traditional Japanese atmosphere. The Japanese paper and brushstroke style location information can be expressed in a Japanese paper and brushstroke style, for example, through the design of the map or the format of the information display. Some or all of the above processing in the scroll-type mobile monitor may be performed using, for example, a generative AI, or without a generative AI. For example, the scroll-type mobile monitor can input the user's current location data into a generative AI and have the generative AI update the display content based on the current location.

[0077] The Inro-type device can perform contactless payments. It can be used, for example, for paying entrance fees or purchasing souvenirs at tourist destinations. The Inro-type device can also estimate the user's emotions and adjust the payment confirmation method based on those emotions. It can also display recommended products based on the user's purchase history. This allows for contactless payments that can be used for things like paying entrance fees or purchasing souvenirs at tourist destinations. Contactless payments are implemented, for example, using a communication protocol. The communication protocol is secure and allows for safe payments. Some or all of the above-described processes in the Inro-type device may be performed, for example, using a generative AI, or without a generative AI. For example, the Inro-type device can input the user's purchase history data into a generative AI and have the generative AI display recommended products based on that purchase history.

[0078] Ad-supported free apps can offer AR experiences through in-app purchases. For example, an ad-supported free app could allow users to experience a story where they tour tourist destinations as a samurai or ninja character. Ad-supported free apps can also display ads that are most relevant to the user's browsing history. Ad-supported free apps can also estimate the user's emotions and adjust how ads are displayed based on those emotions. This allows users to enjoy AR experiences through the ad-supported free app. In-app purchases are implemented, for example, by clearly defining the types of in-app purchase items, their pricing, and how to purchase them. Some or all of the above processes in an ad-supported free app may be performed using, for example, a generative AI, or not. For example, an ad-supported free app can input user browsing history data into a generative AI and have the generative AI display the most relevant ads based on that browsing history.

[0079] The AI-powered personalized experience generation unit can personalize guided stories and visuals according to the user's interests and the level of crowding. For example, the AI-powered personalized experience generation unit can generate a story in which the user tours a tourist destination as a samurai or ninja character. The AI-powered personalized experience generation unit can also estimate the user's emotions and adjust the content of the guided story based on those emotions. The AI-powered personalized experience generation unit can also generate the optimal experience based on the user's past behavioral history. This allows for the provision of personalized experiences tailored to each individual user. The user's interests and the level of crowding are identified, for example, using data collection methods and analysis algorithms. Some or all of the above processing in the AI-powered personalized experience generation unit is performed using the AI. For example, the AI ​​takes user interest data and crowding data as input and outputs personalized guided stories and visuals.

[0080] AR HoloLens can estimate the user's emotions and adjust the translation's expression based on those emotions. For example, if the user is nervous, AR HoloLens can make the translation concise and easy to understand. If the user is relaxed, AR HoloLens can make the translation detailed and polite. If the user is excited, AR HoloLens can make the translation lively. This allows for a translation expression that responds to the user's emotions. Specific methods and technologies for estimating the user's emotions include, for example, facial recognition and speech analysis. Emotion estimation is achieved using an emotion estimation function with an emotion engine or generative AI. Generative AI includes, but is not limited to, text generation AI (e.g., LLM) and multimodal generation AI. Some or all of the above processing in AR HoloLens is performed using generative AI. For example, AR HoloLens can input the user's facial expression data into the generative AI and have the generative AI adjust the translation's expression based on the emotion.

[0081] AR HoloLens can customize its display content according to the type and design of the Japanese clothing. For example, AR HoloLens can adjust its display content to match the color and pattern of the Japanese clothing. AR HoloLens can also change the layout of the displayed information depending on the type of Japanese clothing (kimono, yukata, etc.). AR HoloLens can also customize the font and color of the displayed information based on the design of the Japanese clothing. This allows it to provide display content tailored to the Japanese clothing. The types and designs of Japanese clothing are classified, for example, based on the type and design pattern of the kimono. Some or all of the above processing in AR HoloLens is performed using a generative AI. For example, AR HoloLens can input Japanese clothing design data into the generative AI and have the generative AI perform the customization of the display content based on the design.

[0082] AR HoloLens can dynamically adjust its display content based on the user's gaze and movements. For example, when the user looks in a particular direction, AR HoloLens can display information related to that direction. AR HoloLens can also update its display content in accordance with the user's gaze movements as they walk. AR HoloLens can also switch the display content when the user performs a specific gesture. This allows it to provide display content that responds to the user's gaze and movements. Specific methods and technologies for detecting the user's gaze and movements include, for example, eye-tracking technology and motion sensors. Some or all of the above processing in AR HoloLens is performed using generative AI. For example, AR HoloLens can input the user's gaze data into the generative AI and have the generative AI perform adjustments to the display content based on the gaze.

[0083] AR HoloLens can estimate the user's emotions and adjust the translation timing based on those emotions. For example, if the user is in a hurry, AR HoloLens can speed up the translation timing. If the user is relaxed, AR HoloLens can also slow down the translation timing. If the user is excited, AR HoloLens can dynamically adjust the translation timing. This allows for translation timing that is appropriate to the user's emotions. The specific criteria and methods for adjusting the translation timing are determined, for example, based on the user's reaction time and changes in context. Emotion estimation is achieved using emotion estimation functions, such as emotion engines or generative AI. Generative AI includes, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above processing in AR HoloLens is performed using generative AI. For example, AR HoloLens can input user facial expression data into the generative AI and have the generative AI perform emotion-based translation timing adjustments.

[0084] AR HoloLens can provide nearby tourist information based on the user's location. For example, when the user approaches a specific tourist spot, AR HoloLens can display information about that spot. AR HoloLens can also guide the user to nearby tourist spots along the route they are walking. AR HoloLens can also display historical background information related to a location when the user reaches that location. This allows for the provision of tourist information based on the user's location. Specific methods and technologies for acquiring the user's location information include, for example, GPS and beacons. Some or all of the above processing in AR HoloLens is performed using generative AI. For example, AR HoloLens can input the user's location data into the generative AI and have the generative AI perform the task of providing location-based tourist information.

[0085] AR HoloLens can display relevant historical and cultural information based on the user's interests. For example, if a user shows interest in a particular building, AR HoloLens can display the historical background of that building. If a user shows interest in a particular event, AR HoloLens can also display the cultural background of that event. If a user shows interest in a particular region, AR HoloLens can also display information about the history and culture of that region. This allows AR HoloLens to provide historical and cultural information tailored to the user's interests. The specific methods and criteria for identifying user interests are determined, for example, based on survey results or past behavioral history. Some or all of the above processing in AR HoloLens is performed using generative AI. For example, AR HoloLens can input user interest data into the generative AI and have the generative AI display historical and cultural information based on those interests.

[0086] A scroll-type portable monitor can estimate the user's emotions and adjust the display method of location information based on the estimated emotions. For example, if the user is tense, the scroll-type portable monitor provides a simple and highly visible display method. If the user is relaxed, it can also provide a display method that includes detailed information. If the user is in a hurry, it can also provide a display method that gets straight to the point. This allows for the display of location information to be tailored to the user's emotions. Specific methods and technologies for estimating the user's emotions are implemented using, for example, facial recognition or voice analysis. Emotion estimation is achieved using an emotion estimation function with an emotion engine or generative AI. Generative AI includes, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above processing in the scroll-type portable monitor is performed using generative AI. For example, the scroll-type portable monitor can input the user's facial expression data into the generative AI and have the generative AI adjust the display method of location information based on emotions.

[0087] The scroll-type portable monitor can dynamically update according to the user's current location and destination. For example, the scroll-type portable monitor updates its display content in real time as the user moves from their current location. The scroll-type portable monitor can also provide more detailed display content as the user approaches their destination. The scroll-type portable monitor can also display information related to a specific location when the user reaches that location. This allows for dynamic updates according to the user's current location and destination. Specific methods and technologies for obtaining the user's current location and destination are implemented using, for example, GPS or beacons. Some or all of the above-described processes in the scroll-type portable monitor may be performed using or without a generative AI. For example, the scroll-type portable monitor can input the user's current location data into a generative AI and have the generative AI perform updates to the display content based on the current location.

[0088] A scroll-type portable monitor can improve display technology to reproduce the texture of washi paper and the touch of a brush. For example, a scroll-type portable monitor can use a high-resolution display to realistically reproduce the texture of washi paper. A scroll-type portable monitor can also introduce special ink technology to reproduce the touch of a brush. A scroll-type portable monitor can also develop a display method that combines the texture of washi paper and the touch of a brush. This makes it possible to provide display technology that realistically reproduces the texture of washi paper and the touch of a brush. Specific technologies and methods for reproducing the texture of washi paper and the touch of a brush are realized, for example, using display technology and drawing algorithms. Some or all of the above processing in the scroll-type portable monitor may be performed using a generative AI, or it may be performed without a generative AI. For example, a scroll-type portable monitor can input washi paper texture data into a generative AI and have the generative AI perform the reproduction of the texture.

[0089] A scroll-type portable monitor can estimate the user's emotions and prioritize the displayed content based on those emotions. For example, if the user is tense, the scroll-type portable monitor will prioritize displaying important information. If the user is relaxed, it can also prioritize displaying detailed information. If the user is in a hurry, it can also prioritize displaying concise information. This allows for prioritizing displayed content according to the user's emotions. Specific methods and technologies for estimating user emotions include, for example, facial recognition and speech analysis. Emotion estimation is achieved using an emotion estimation function with an emotion engine or generative AI. Generative AI includes, but is not limited to, text generation AI (e.g., LLM) and multimodal generation AI. Some or all of the above processing in the scroll-type portable monitor is performed using generative AI. For example, the scroll-type portable monitor can input user facial data into the generative AI and have the generative AI determine the priority of displayed content based on emotions.

[0090] The scroll-type mobile monitor can display recommended sightseeing routes based on the user's past visit history. For example, the scroll-type mobile monitor can suggest recommended sightseeing routes based on tourist destinations the user has visited in the past. The scroll-type mobile monitor can also suggest routes that avoid crowds based on the user's past visit history. The scroll-type mobile monitor can also analyze the user's past visit history and suggest the most efficient sightseeing route. This allows the system to provide recommended sightseeing routes based on the user's past visit history. Specific methods and technologies for obtaining the user's past visit history include, for example, using location history and app usage history. Some or all of the above-described processes in the scroll-type mobile monitor may be performed using or without a generative AI. For example, the scroll-type mobile monitor can input the user's visit history data into a generative AI and have the generative AI suggest sightseeing routes based on the visit history.

[0091] A scroll-type mobile monitor can provide relevant event information based on the user's interests. For example, when a user expresses interest in a particular event, the scroll-type mobile monitor can display information about that event. When a user expresses interest in a particular region, the scroll-type mobile monitor can also provide information about events held in that region. The scroll-type mobile monitor can also display the schedule of relevant events based on the user's interests. This allows for the provision of relevant event information tailored to the user's interests. The specific methods and criteria for identifying the user's interests are determined, for example, based on survey results or past behavioral history. Some or all of the above processing in the scroll-type mobile monitor may be performed using or without a generative AI. For example, the scroll-type mobile monitor can input user interest data into a generative AI and have the generative AI provide event information based on those interests.

[0092] The Inro-type device can estimate the user's emotions and adjust the payment confirmation method based on those emotions. For example, if the user is nervous, the Inro-type device can provide a simple and highly visible confirmation method. If the user is relaxed, it can also provide a more detailed confirmation method. If the user is in a hurry, it can provide a quick confirmation method. This allows for payment confirmation methods tailored to the user's emotions. Specific methods and technologies for estimating user emotions include, for example, facial recognition and voice analysis. Emotion estimation is achieved using an emotion estimation function with an emotion engine or generative AI. Generative AI includes, but is not limited to, text generation AI (e.g., LLM) and multimodal generation AI. Some or all of the above processing in the Inro-type device is performed using generative AI. For example, the Inro-type device can input user facial data into the generative AI and have the generative AI adjust the payment confirmation method based on emotions.

[0093] The Inro-type device can display recommended products based on the user's purchase history. For example, the Inro-type device can suggest recommended products based on products the user has purchased in the past. The Inro-type device can also suggest related products from the user's purchase history. The Inro-type device can also analyze the user's purchase history and suggest the most popular products. This allows the device to provide recommended products based on the user's purchase history. The specific methods and technologies for obtaining the user's purchase history are implemented, for example, using purchase history data and loyalty card information. Some or all of the above processing in the Inro-type device may be performed using a generative AI, or it may be performed without a generative AI. For example, the Inro-type device can input the user's purchase history data into a generative AI and have the generative AI display recommended products based on the purchase history.

[0094] The Inro-type device can improve technologies to enhance the security of contactless payments. For example, the Inro-type device can introduce biometric authentication technology to strengthen payment security. The Inro-type device can also improve encryption technology to ensure data security. The Inro-type device can also introduce multi-factor authentication to improve payment security. This provides technologies to improve the security of contactless payments. Specific technologies and methods for improving the security of contactless payments are implemented, for example, using encryption technology and authentication protocols. Some or all of the above-mentioned processes in the Inro-type device may be performed using generative AI, or not. For example, the Inro-type device can input data for security enhancement into the generative AI and have the generative AI execute technological improvements for security enhancement.

[0095] The Inro-type device can estimate the user's emotions and adjust the timing of payment based on those emotions. For example, if the user is in a hurry, the Inro-type device will prioritize a quick payment. If the user is relaxed, the Inro-type device can also perform a detailed confirmation before payment. If the user is nervous, the Inro-type device can also perform a simple confirmation before payment. This allows for payment timing tailored to the user's emotions. Specific methods and technologies for estimating user emotions include, for example, facial recognition and voice analysis. Emotion estimation is achieved using an emotion estimation function with an emotion engine or generative AI. Generative AI includes, but is not limited to, text generation AI (e.g., LLM) and multimodal generation AI. Some or all of the above processing in the Inro-type device is performed using generative AI. For example, the Inro-type device can input user facial data into the generative AI and have the generative AI adjust the timing of payment based on emotions.

[0096] An Inro-type device can provide information about nearby stores based on the user's location. For example, when the user is in a specific location, the Inro-type device can display information about stores near that location. The Inro-type device can also update information about nearby stores in real time while the user is on the move. The Inro-type device can also display detailed information about a specific store when the user approaches that store. This allows for the provision of nearby store information based on the user's location. Specific methods and technologies for acquiring the user's location information include, for example, using GPS or beacons. Some or all of the above-described processes in the Inro-type device may be performed using generative AI, or they may be performed without generative AI. For example, the Inro-type device can input the user's location data into a generative AI and have the generative AI perform the provision of store information based on the location information.

[0097] The Inro-type device can display relevant coupon information based on the user's interests. For example, when a user shows interest in a particular product, the Inro-type device can display coupon information related to that product. When a user shows interest in a particular store, the Inro-type device can also provide coupon information for that store. The Inro-type device can also prioritize the display of relevant coupon information based on the user's interests. This allows the device to provide relevant coupon information tailored to the user's interests. The specific methods and criteria for identifying the user's interests are determined, for example, based on survey results or past behavioral history. Some or all of the above processing in the Inro-type device may be performed using a generative AI, or it may be performed without a generative AI. For example, the Inro-type device can input user interest data into a generative AI and have the generative AI provide coupon information based on those interests.

[0098] Free apps with ads can estimate a user's emotions and adjust how ads are displayed based on those emotions. For example, if a user is stressed, the app might display simple, highly visible ads. If a user is relaxed, it might display ads with more detailed information. If a user is in a hurry, it might display concise, to-the-point ads. This allows for ad display methods tailored to the user's emotions. Specific methods and technologies for estimating user emotions include, for example, facial recognition and voice analysis. Emotion estimation is achieved using emotion estimation functions, such as emotion engines or generative AI. Generative AI includes, but is not limited to, text generation AI (e.g., LLM) and multimodal generation AI. Some or all of the above processing in free apps with ads is performed using generative AI. For example, a free app with ads can input user facial data into a generative AI and have the generative AI adjust how ads are displayed based on emotions.

[0099] Ad-supported free apps can display the most relevant ads based on the user's behavior history within the app. For example, an ad-supported free app can display relevant ads based on products the user has previously viewed. An ad-supported free app can also suggest ads that the user might be interested in based on their behavior history. An ad-supported free app can also analyze the user's behavior patterns and display the most effective ads. This allows for the provision of optimal ads based on the user's behavior history. Specific methods and technologies for obtaining user behavior history include, for example, using app usage history and click data. Some or all of the above processes in an ad-supported free app may be performed using generative AI, or they may not. For example, an ad-supported free app can input user behavior history data into a generative AI and have the generative AI display the most relevant ads based on that behavior history.

[0100] Ad-supported free apps can dynamically adjust the frequency and timing of ad displays based on user behavior. For example, an ad-supported free app can reduce the frequency of ad displays if a user uses the app frequently. It can also display ads according to the user's usage patterns during specific time periods. Ad-supported free apps can also optimize the timing of ad displays based on user behavior. This allows for ad display frequency and timing tailored to user behavior. Specific methods and criteria for identifying user behavior may be determined based on, for example, active time and usage frequency. Some or all of the above processes in ad-supported free apps may be performed using or without generative AI. For example, an ad-supported free app can input user behavior data into a generative AI and have the AI ​​adjust the frequency and timing of ad displays based on that behavior.

[0101] Free apps with ads can estimate the user's emotions and customize the ad content based on those emotions. For example, if a user is stressed, the app can display relaxing ads. If a user is relaxed, it can also display engaging ads. If a user is in a hurry, it can display concise and to-the-point ads. This allows for ad content tailored to the user's emotions. Specific methods and technologies for estimating user emotions include, for example, facial recognition and voice analysis. Emotion estimation is achieved using emotion estimation functions, such as emotion engines or generative AI. Generative AI includes, but is not limited to, text generation AI (e.g., LLM) and multimodal generation AI. Some or all of the above processing in free apps with ads is performed using generative AI. For example, a free app with ads can input user facial data into a generative AI and have the generative AI customize ad content based on emotions.

[0102] Ad-supported free apps can display location-specific advertisements based on the user's location within the app. For example, an ad-supported free app can display location-related advertisements when the user is in a specific area. Ad-supported free apps can also update location-based advertisements in real time while the user is on the move. Ad-supported free apps can also display advertisements for specific stores when the user approaches those stores. This allows for the provision of location-specific advertisements based on the user's location. Specific methods and technologies for obtaining the user's location information include, for example, using GPS or beacons. Some or all of the above processes in an ad-supported free app may be performed using generative AI, or they may not. For example, an ad-supported free app can input the user's location data into a generative AI and have the generative AI execute the display of location-based, location-specific advertisements.

[0103] Ad-supported free apps can display advertisements for relevant products and services based on the user's interests within the app. For example, an ad-supported free app can display advertisements related to a product when the user shows interest in that product. It can also display advertisements related to a service when the user shows interest in that service. An ad-supported free app can also prioritize displaying advertisements for relevant products and services based on the user's interests. This allows for the provision of advertisements for relevant products and services that match the user's interests. The specific methods and criteria for identifying user interests are determined, for example, based on survey results or past behavioral history. Some or all of the above processes in an ad-supported free app may be performed using generative AI, or not. For example, an ad-supported free app can input user interest data into a generative AI and have the generative AI display advertisements for products and services based on those interests.

[0104] The personalized experience generation unit powered by generative AI can estimate the user's emotions and adjust the content of the guided story based on those emotions. For example, if the user is relaxed, the personalized experience generation unit powered by generative AI can generate a story that progresses at a leisurely pace. If the user is in a hurry, the personalized experience generation unit powered by generative AI can also generate a story that emphasizes the shortest route. If the user is excited, the personalized experience generation unit powered by generative AI can also generate a story with visually stimulating effects. This allows for the provision of guided story content that is tailored to the user's emotions. Specific methods and technologies for estimating the user's emotions include, for example, facial recognition and voice analysis. Emotion estimation is achieved using an emotion estimation function, such as an emotion engine or generative AI. Generative AI includes, but is not limited to, text generation AI (e.g., LLM) and multimodal generation AI. Some or all of the above-described processes in the personalized experience generation unit powered by generative AI are performed using generative AI. For example, a personalized experience generation unit powered by generative AI can input user facial expression data into the generative AI and have the AI ​​adjust the content of the guided story based on those emotions.

[0105] The personalized experience generation unit powered by generative AI can generate optimal experiences based on a user's past behavioral history. For example, it can suggest optimal experiences based on places the user has visited in the past. It can also suggest experiences that the user might be interested in based on their past behavioral history. The personalized experience generation unit powered by generative AI can also analyze the user's behavioral patterns and generate the most effective experiences. This allows it to provide optimal experiences based on the user's past behavioral history. Specific methods and technologies for obtaining the user's past behavioral history include, for example, using location history and app usage history. Some or all of the above-described processes in the personalized experience generation unit powered by generative AI are performed using generative AI. For example, the personalized experience generation unit powered by generative AI can input user behavioral history data into the generative AI and have the generative AI generate optimal experiences based on that behavioral history.

[0106] The AI-powered personalized experience generation unit can dynamically update the experience content according to the user's current situation and environment. For example, when a user is in a specific location, the AI-powered personalized experience generation unit can provide an experience relevant to that location. The AI-powered personalized experience generation unit can also update the experience in real time based on the user's current location while the user is on the move. The AI-powered personalized experience generation unit can also optimize the experience content according to the user's environment. This allows the system to provide an experience tailored to the user's current situation and environment. Specific methods and criteria for identifying the user's current situation and environment are determined based on, for example, weather information and surrounding congestion. Some or all of the above processing in the AI-powered personalized experience generation unit is performed using the AI. For example, the AI-powered personalized experience generation unit can input the user's current location data into the AI ​​and have the AI ​​update the experience content based on the current situation and environment.

[0107] The personalized experience generation unit powered by generative AI can estimate the user's emotions and adjust the way visuals are displayed based on those emotions. For example, if the user is nervous, the personalized experience generation unit powered by generative AI can display simple, highly visible visuals. If the user is relaxed, the personalized experience generation unit powered by generative AI can also display visuals containing detailed information. If the user is in a hurry, the personalized experience generation unit powered by generative AI can also display visuals that get straight to the point. This allows for the provision of visual display methods that correspond to the user's emotions. Specific methods and technologies for estimating the user's emotions include, for example, facial recognition and speech analysis. Emotion estimation is achieved using an emotion estimation function, such as an emotion engine or generative AI. Generative AI is, for example, a text generation AI (e.g., LLM) or a multimodal generation AI, but is not limited to these examples. Some or all of the above-described processes in the personalized experience generation unit powered by generative AI are performed using the generative AI. For example, the personalized experience generation unit powered by generative AI can input user facial expression data into the generative AI and have the generative AI adjust the way visuals are displayed based on emotions.

[0108] The personalized experience generation unit powered by generative AI can suggest the optimal sightseeing route based on the user's location information. For example, when the user approaches a specific tourist destination, the personalized experience generation unit powered by generative AI can display information about that destination. The personalized experience generation unit powered by generative AI can also guide the user to nearby tourist spots along the route they are walking. When the user reaches a specific location, the personalized experience generation unit powered by generative AI can also display historical background information related to that location. This allows for the provision of the optimal sightseeing route based on the user's location information. Specific methods and technologies for acquiring the user's location information include, for example, using GPS or beacons. Some or all of the above-described processes in the personalized experience generation unit powered by generative AI are performed using generative AI. For example, the personalized experience generation unit powered by generative AI can input the user's location information data into the generative AI and have the generative AI perform location-based sightseeing route suggestions.

[0109] The personalized experience generation unit powered by generative AI can provide relevant historical and cultural information based on the user's interests. For example, if a user shows interest in a particular building, the personalized experience generation unit can display the historical background of that building. If a user shows interest in a particular event, the personalized experience generation unit can also display the cultural background of that event. If a user shows interest in a particular region, the personalized experience generation unit can also display information about the history and culture of that region. This allows for the provision of relevant historical and cultural information tailored to the user's interests. The specific methods and criteria for identifying user interests are determined, for example, based on survey results or past behavioral history. Some or all of the above processing in the personalized experience generation unit powered by generative AI is performed using generative AI. For example, the personalized experience generation unit powered by generative AI can input user interest data into the generative AI and have the generative AI provide historical and cultural information based on those interests.

[0110] The system according to the embodiment is not limited to the example described above, and various modifications are possible, for example, as follows.

[0111] The tourism service system can monitor the user's health status and suggest sightseeing routes and activities based on that status. For example, it can measure the user's heart rate and steps in real time and suggest rest stops if the user is highly fatigued. Furthermore, if the user has a specific health condition (e.g., allergies or pre-existing medical conditions), it can suggest safe restaurants and activities based on that information. It can also analyze the user's health data and generate the optimal sightseeing route. This allows for a safe and comfortable sightseeing experience tailored to the user's health status.

[0112] The tourism service system can estimate the user's emotions and suggest activities at the tourist destination based on those emotions. For example, if the user is relaxed, it can suggest quiet places or relaxation activities. If the user is excited, it can suggest adventure activities or events. Furthermore, if the user is tired, it can suggest rest spots or places to refresh. This allows for the provision of an optimal tourism experience tailored to the user's emotions.

[0113] A tourism service system can suggest the next travel destination based on a user's past travel history. For example, it can analyze data on tourist destinations and activities the user has visited in the past and suggest destinations that match similar interests. Furthermore, it can suggest the best time and route to avoid crowds based on the user's past travel history. It can also suggest tourist destinations related to specific themes (e.g., history, nature, art) based on the user's travel history. This allows the system to provide the next travel destination that best suits the user's interests.

[0114] The tourism service system can estimate the user's emotions and adjust the content of guided tours at tourist destinations based on those emotions. For example, if the user is nervous, the guided tour can be made concise and easy to understand. If the user is relaxed, a detailed and thorough guided tour can be provided. Furthermore, if the user is excited, a guided tour with visually stimulating effects can be added. This allows for the provision of an optimal guided tour tailored to the user's emotions.

[0115] The tourism service system can suggest nearby tourist attractions and activities in real time based on the user's location. For example, when a user approaches a specific tourist attraction, it can display information and activities related to that attraction. Furthermore, it can update tourist attractions and events based on the user's current location in real time while the user is on the move. It can also display historical background and cultural information related to a specific location when the user reaches that location. This allows for the provision of an optimal tourism experience based on the user's location.

[0116] The tourism service system can estimate the user's emotions and suggest photo spots at tourist destinations based on those emotions. For example, if the user is relaxed, it can suggest quiet and beautiful scenic spots. If the user is excited, it can suggest spots for active scenes or events. Furthermore, if the user is moved, it can suggest spots to capture emotional moments. This allows the system to provide optimal photo spots tailored to the user's emotions.

[0117] The tourism service system can suggest relevant workshops and experiential programs based on the user's interests. For example, if a user expresses interest in traditional crafts, it can suggest craft workshops held in that region. If a user expresses interest in cooking, it can suggest local cooking classes or food tours. Furthermore, if a user expresses interest in art, it can suggest art galleries or art events. This allows the system to provide the most suitable workshops and experiential programs tailored to the user's interests.

[0118] The tourism service system can estimate the user's emotions and suggest restaurants in the tourist area based on those emotions. For example, if the user is relaxed, it can suggest a quiet and calm restaurant. If the user is excited, it can suggest a lively restaurant or cafe. Furthermore, if the user is tired, it can suggest a cafe or a place that offers light meals where they can refresh themselves. This allows the system to provide the most suitable restaurant for the user's emotions.

[0119] The tourism service system can suggest recommended souvenirs and products based on the user's past purchase history. For example, it can suggest related souvenirs and products based on items the user has purchased in the past. Furthermore, it can suggest popular items and limited-edition items based on the user's purchase history. It can also analyze the user's purchase history and suggest products related to specific themes (e.g., traditional crafts, local specialties). This allows the system to provide the most suitable souvenirs and products based on the user's purchase history.

[0120] The tourism service system can estimate the user's emotions and suggest events and festivals at tourist destinations based on those emotions. For example, if the user is relaxed, it can suggest quiet and relaxing events. If the user is excited, it can suggest lively festivals and performances. Furthermore, if the user is moved, it can suggest moving stories and cultural events. This allows the system to provide the most suitable events and festivals according to the user's emotions.

[0121] The following briefly describes the processing flow for example form 2.

[0122] Step 1: The AR HoloLens has a design that complements traditional Japanese clothing and provides real-time translation functionality. For example, it can translate and display Japanese signs and information boards into English or other languages. It can also dynamically adjust the displayed content based on the user's gaze and movements, and even estimate the user's emotions to adjust the translation's expression. Step 2: The scroll-type portable monitor features a Japanese paper and brushstroke-inspired design and displays location information. For example, it can display the current location or destination in a Japanese paper and brushstroke style, and dynamically update according to the user's current location or destination. It can also estimate the user's emotions and adjust the way location information is displayed based on those emotions. Step 3: The Inro-type device is a device for contactless payment. For example, it can be used for paying entrance fees at tourist attractions or purchasing souvenirs. It can also estimate the user's emotions and adjust the payment confirmation method based on those emotions. Furthermore, it can display recommended products based on the user's purchase history. Step 4: Free apps with ads offer AR experiences through in-app purchases. For example, users can experience a story where they tour tourist destinations as samurai or ninja characters. The app can also display ads that are most relevant to the user's browsing history. Furthermore, it can estimate the user's emotions and adjust how ads are displayed based on those emotions. Step 5: The AI-powered personalized experience generation unit personalizes the guided story and visuals according to the user's interests and the level of crowding. For example, it can generate a story in which the user tours a tourist spot as a samurai or ninja character. It can also estimate the user's emotions and adjust the content of the guided story based on those emotions. Furthermore, it can generate the optimal experience based on the user's past behavior history.

[0123] 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 user input for the result of the specific processing. The control unit 46A transmits the audio data indicating 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.

[0124] Data generation model 58 is a form of so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> Examples of generative AI include text generation AI, image generation AI, and multimodal generation AI. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images (e.g., still image data or video data). The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference result in one or more data formats from audio data, text data, and image data. The data generation model 58 includes, for example, text generation AI, image generation AI, and multimodal generation AI. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specific processing unit 290 performs the specific processing described above using the data generation model 58. The data generation model 58 may be a fine-tuned model that outputs inference results from prompts that do not contain instructions, in which case the data generation model 58 can output inference results from prompts that do not contain instructions. In the data processing device 12, etc., there are multiple types of data generation models 58, and the data generation model 58 includes AI other than generative AI. AI other than generative AI includes, for example, linear regression, logistic regression, decision trees, random forests, support vector machines (SVMs), k-means clustering, convolutional neural networks (CNNs), recurrent neural networks (RNNs), generative adversarial networks (GANs), or naive Bayes, and can perform various processes, but is not limited to these examples. Also, the AI ​​may be an AI agent. Furthermore, when the processing of each of the above parts is performed by the AI, the processing may be performed by the AI ​​in part or in whole, but is not limited to this example.Furthermore, processing performed by AI, including generative AI, may be replaced with rule-based processing, and rule-based processing may be replaced with processing performed by AI, including generative AI.

[0125] Furthermore, the processing performed by the data processing system 10 described above is carried out by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart device 14, but it may also be carried out by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart device 14. In addition, 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.

[0126] Each of the multiple elements described above, including the AR HoloLens, scroll-type portable monitor, inro-type device, ad-supported free app, and personalized experience generation unit using generative AI, is implemented by at least one of the smart device 14 and the data processing device 12. For example, the AR HoloLens is implemented by the smart device 14 and provides a real-time translation function. The scroll-type portable monitor is implemented by the output device 40 of the smart device 14 and displays location information with a Japanese paper / brush texture. The inro-type device performs contactless payment using the communication I / F 44 of the smart device 14. The ad-supported free app is executed by the processor 46 of the smart device 14 and provides an AR space experience. The personalized experience generation unit using generative AI is implemented by the specific processing unit 290 of the data processing device 12 and personalizes the guidance story and visuals according to the user's interests and congestion level. The correspondence between each part and the device or control unit is not limited to the example described above and can be changed in various ways.

[0127] [Second Embodiment] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0128] As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0129] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN and / or LAN.

[0130] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0131] The microphone 238 receives voice commands and other instructions from the user by receiving voice signals. The microphone 238 captures the voice signals from the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0132] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, which captures images of the area around the user (for example, an imaging range defined by a field of view equivalent to the field of vision of a typical healthy person).

[0133] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0134] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing by the processor 28. The storage 32 stores the specific processing program 56.

[0135] The processor 28 reads a 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 acting as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0136] Storage 32 stores the data generation model 58 and the 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 emotions using the emotion identification model 59 and perform identification processing using the user's emotions. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotions, including but not limited to these examples. Furthermore, emotion estimation and prediction also include, for example, emotion analysis.

[0137] In the smart glasses 214, specific processing is performed by the processor 46. The storage 50 stores a specific processing program 60. 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 acting as a control unit 46A according to the specific processing program 60 executed on the RAM 48. The smart glasses 214 also have a data generation model 58 and an emotion identification model 59, similar to the data generation model and emotion identification model 59, and can perform processing similar to that of the specific processing unit 290 using these models.

[0138] Furthermore, other devices besides the data processing device 12 may also 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 obtains processing results (such as prediction results) using the data generation model 58 by communicating with the server device that has the data generation model 58. Also, the data processing device 12 may be a server device or a terminal device owned by the user (for example, a mobile phone, robot, home appliance, etc.).

[0139] 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 user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0140] The data generation model 58 is a so-called generative AI. An example of a 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 is input with prompts containing instructions, and inference data such as audio data representing speech, text data representing text, and image data representing images (e.g., still image data or video data). The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference result in one or more data formats such as audio data, text data, and image data. The data generation model 58 includes, for example, text generation AI, image generation AI, and multimodal generation AI. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specific processing unit 290 performs the specific processing described above using the data generation model 58. The data generation model 58 may be a fine-tuned model that outputs inference results from prompts that do not contain instructions, in which case the data generation model 58 can output inference results from prompts that do not contain instructions. In the data processing device 12, etc., there are multiple types of data generation models 58, and the data generation model 58 includes AI other than generative AI. AI other than generative AI includes, for example, linear regression, logistic regression, decision trees, random forests, support vector machines (SVM), k-means clustering, convolutional neural networks (CNN), recurrent neural networks (RNN), generative adversarial networks (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. Also, the AI ​​may be an AI agent. Furthermore, when the processing of each part described above is performed by the AI, the processing may be performed by the AI ​​in part or in whole, but is not limited to this example. Also, processing performed by an AI including a generative AI may be replaced by rule-based processing, and rule-based processing may be replaced by processing performed by an AI including a generative AI.

[0141] 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 performed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart glasses 214, but it may also be performed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart glasses 214. In addition, the specific processing unit 290 of the data processing device 12 acquires or collects information necessary for processing from the smart glasses 214 or an external device, and the smart glasses 214 acquires or collects information necessary for processing from the data processing device 12 or an external device.

[0142] Each of the multiple elements described above, including the AR HoloLens, scroll-type mobile monitor, inro-type device, ad-supported free app, and personalized experience generation unit using generative AI, is implemented by at least one of the smart glasses 214 and the data processing device 12. For example, the AR HoloLens is implemented by the smart glasses 214 and provides a real-time translation function. The scroll-type mobile monitor is implemented by the output device 40 of the smart glasses 214 and displays location information with a Japanese paper / brush texture. The inro-type device performs contactless payment using the communication I / F 44 of the smart glasses 214. The ad-supported free app is run by the processor 46 of the smart glasses 214 and provides an AR space experience. The personalized experience generation unit using generative AI is implemented by the specific processing unit 290 of the data processing device 12 and personalizes the guidance story and visuals according to the user's interests and the level of congestion. The correspondence between each part and the device or control unit is not limited to the example described above and can be changed in various ways.

[0143] [Third Embodiment] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0144] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0145] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN and / or LAN.

[0146] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0147] The microphone 238 receives voice commands and other instructions from the user by receiving voice signals. The microphone 238 captures the voice signals from the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0148] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, which captures images of the area around the user (for example, an imaging range defined by a field of view equivalent to the field of vision of a typical healthy person).

[0149] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0150] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0151] The processor 28 reads a 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 acting as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0152] Storage 32 stores the data generation model 58 and the 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 emotions using the emotion identification model 59 and perform identification processing using the user's emotions. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotions, including but not limited to these examples. Furthermore, emotion estimation and prediction also include, for example, emotion analysis.

[0153] In the headset terminal 314, specific processing is performed by the processor 46. The storage 50 stores a specific program 60. The processor 46 reads the specific program 60 from the storage 50 and executes the read specific program 60 on the RAM 48. The specific processing is realized by the processor 46 acting as a control unit 46A according to the specific program 60 executed on the RAM 48. The headset terminal 314 also has a data generation model 58 and an emotion identification model 59, similar to the data generation model and emotion identification model 59, and can perform processing similar to that of the specific processing unit 290 using these models.

[0154] Furthermore, other devices besides the data processing device 12 may also 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 obtains processing results (such as prediction results) using the data generation model 58 by communicating with the server device that has the data generation model 58. Also, the data processing device 12 may be a server device or a terminal device owned by the user (for example, a mobile phone, robot, home appliance, etc.).

[0155] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0156] The data generation model 58 is a so-called generative AI. An example of a 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 is input with prompts containing instructions, and inference data such as audio data representing speech, text data representing text, and image data representing images (e.g., still image data or video data). The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference result in one or more data formats such as audio data, text data, and image data. The data generation model 58 includes, for example, text generation AI, image generation AI, and multimodal generation AI. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specific processing unit 290 performs the specific processing described above using the data generation model 58. The data generation model 58 may be a fine-tuned model that outputs inference results from prompts that do not contain instructions, in which case the data generation model 58 can output inference results from prompts that do not contain instructions. In the data processing device 12, etc., there are multiple types of data generation models 58, and the data generation model 58 includes AI other than generative AI. AI other than generative AI includes, for example, linear regression, logistic regression, decision trees, random forests, support vector machines (SVM), k-means clustering, convolutional neural networks (CNN), recurrent neural networks (RNN), generative adversarial networks (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. Also, the AI ​​may be an AI agent. Furthermore, when the processing of each part described above is performed by the AI, the processing may be performed by the AI ​​in part or in whole, but is not limited to this example. Also, processing performed by an AI including a generative AI may be replaced by rule-based processing, and rule-based processing may be replaced by processing performed by an AI including a generative AI.

[0157] 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 performed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the headset terminal 314, but may also be performed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the headset terminal 314. In addition, the specific processing unit 290 of the data processing device 12 acquires or collects information necessary for processing from the headset terminal 314 or an external device, and the headset terminal 314 acquires or collects information necessary for processing from the data processing device 12 or an external device.

[0158] Each of the multiple elements described above, including the AR HoloLens, scroll-type mobile monitor, inro-type device, ad-supported free app, and personalized experience generation unit using generative AI, is implemented by at least one of the headset terminal 314 and the data processing unit 12. For example, the AR HoloLens is implemented by the headset terminal 314 and provides a real-time translation function. The scroll-type mobile monitor is implemented by the output device 40 of the headset terminal 314 and displays location information with a Japanese paper / brush texture. The inro-type device performs contactless payment using the communication I / F 44 of the headset terminal 314. The ad-supported free app is executed by the processor 46 of the headset terminal 314 and provides an AR space experience. The personalized experience generation unit using generative AI is implemented by the specific processing unit 290 of the data processing unit 12 and personalizes the guidance story and visuals according to the user's interests and the level of congestion. The correspondence between each part and the device or control unit is not limited to the example described above and can be changed in various ways.

[0159] [Fourth Embodiment] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0160] As shown in Figure 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0161] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN and / or LAN.

[0162] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[0163] The microphone 238 receives voice commands and other instructions from the user by receiving voice signals. The microphone 238 captures the voice signals from the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0164] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS image sensor or CCD image sensor, which captures images of the area around the user (for example, an imaging range defined by a field of view equivalent to the field of vision of a typical healthy person).

[0165] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0166] The controlled 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 robot 414's emotions can be expressed by controlling these motors. The robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[0167] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0168] The processor 28 reads a 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 acting as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0169] Storage 32 stores the data generation model 58 and the 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 emotions using the emotion identification model 59 and perform identification processing using the user's emotions. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotions, including but not limited to these examples. Furthermore, emotion estimation and prediction also include, for example, emotion analysis.

[0170] In robot 414, specific processing is performed by processor 46. A specific program 60 is stored in storage 50. Processor 46 reads the specific program 60 from storage 50 and executes it on RAM 48. The specific processing is achieved by processor 46 acting as a control unit 46A according to the specific program 60 executed on RAM 48. Robot 414 also has data generation model 58 and emotion identification model 59, similar to those of the robot, and can perform processing similar to that of the specific processing unit 290 using these models.

[0171] Furthermore, other devices besides the data processing device 12 may also 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 obtains processing results (such as prediction results) using the data generation model 58 by communicating with the server device that has the data generation model 58. Also, the data processing device 12 may be a server device or a terminal device owned by the user (for example, a mobile phone, robot, home appliance, etc.).

[0172] 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 controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0173] The data generation model 58 is a so-called generative AI. An example of a 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 is input with prompts containing instructions, and inference data such as audio data representing speech, text data representing text, and image data representing images (e.g., still image data or video data). The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference result in one or more data formats such as audio data, text data, and image data. The data generation model 58 includes, for example, text generation AI, image generation AI, and multimodal generation AI. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specific processing unit 290 performs the specific processing described above using the data generation model 58. The data generation model 58 may be a fine-tuned model that outputs inference results from prompts that do not contain instructions, in which case the data generation model 58 can output inference results from prompts that do not contain instructions. In the data processing device 12, etc., there are multiple types of data generation models 58, and the data generation model 58 includes AI other than generative AI. AI other than generative AI includes, for example, linear regression, logistic regression, decision trees, random forests, support vector machines (SVM), k-means clustering, convolutional neural networks (CNN), recurrent neural networks (RNN), generative adversarial networks (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. Also, the AI ​​may be an AI agent. Furthermore, when the processing of each part described above is performed by the AI, the processing may be performed by the AI ​​in part or in whole, but is not limited to this example. Also, processing performed by an AI including a generative AI may be replaced by rule-based processing, and rule-based processing may be replaced by processing performed by an AI including a generative AI.

[0174] 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 performed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the robot 414, but it may also be performed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the robot 414. In addition, the specific processing unit 290 of the data processing device 12 acquires or collects information necessary for processing from the robot 414 or an external device, and the robot 414 acquires or collects information necessary for processing from the data processing device 12 or an external device.

[0175] Each of the multiple elements described above, including the AR HoloLens, scroll-type mobile monitor, inro-type device, ad-supported free app, and personalized experience generation unit using generative AI, is implemented by at least one of the robot 414 and the data processing device 12. For example, the AR HoloLens is implemented by the robot 414 and provides a real-time translation function. The scroll-type mobile monitor is implemented by the output device 40 of the robot 414 and displays location information with a Japanese paper / brush texture. The inro-type device performs contactless payment using the communication I / F 44 of the robot 414. The ad-supported free app is run by the processor 46 of the robot 414 and provides an AR space experience. The personalized experience generation unit using generative AI is implemented by the specific processing unit 290 of the data processing device 12 and personalizes the guidance story and visuals according to the user's interests and the level of congestion. The correspondence between each part and the devices and control units is not limited to the examples described above and can be changed in various ways.

[0176] Furthermore, the emotion identification model 59, acting 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 a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0177] Figure 9 shows the emotion map 400, in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[0178] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[0179] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[0180] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, and motorcycles, emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated based, for example, on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[0181] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is 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 the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[0182] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[0183] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing method for the specific process may be used, which includes computer 22 and multiple other computers.

[0184] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[0185] 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.

[0186] Furthermore, it is not necessary to store the entirety 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 the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[0187] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[0188] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of 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). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[0189] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[0190] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[0191] Furthermore, although the above-described examples were divided into four embodiments, some or all of these embodiments may be combined. Also, the smart device 14, smart glasses 214, headset terminal 314, and robot 414 are just examples, and they may be combined, or other devices may be used. Also, although the above-described examples were divided into two embodiments, Embodiment 1 and Embodiment 2, these may be combined.

[0192] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and other things that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[0193] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.

[0194] (Note 1) AR hololenses that go well with traditional Japanese clothing, A scroll-shaped portable monitor with a Japanese paper and brush-like texture, An inro-shaped device, Free apps with ads, It includes a personalized experience generation unit powered by generational AI. A system characterized by the following features. (Note 2) The aforementioned AR hololens is Provides real-time translation functionality. The system described in Appendix 1, characterized by the features described herein. (Note 3) The aforementioned scroll-type portable monitor is Display location information for Japanese paper and brush-like textures. The system described in Appendix 1, characterized by the features described herein. (Note 4) The aforementioned inro-shaped device is Make contactless payments The system described in Appendix 1, characterized by the features described herein. (Note 5) The aforementioned free app with ads, The service provides an AR experience through in-app purchases. The system described in Appendix 1, characterized by the features described herein. (Note 6) The aforementioned AI-generated personalized experience generation unit is: Personalize the guidance story and visuals according to the user's interests and the level of congestion. The system described in Appendix 1, characterized by the features described herein. (Note 7) The aforementioned AR hololens is It estimates the user's emotions and adjusts the translation's expression based on those estimated emotions. The system described in Appendix 2, characterized by the features described herein. (Note 8) The aforementioned AR hololens is The AR HoloLens display content can be customized according to the type and design of the Japanese traditional clothing. The system described in Appendix 2, characterized by the features described herein. (Note 9) The aforementioned AR hololens is Dynamically adjusts the displayed content based on the user's gaze and movements. The system described in Appendix 2, characterized by the features described herein. (Note 10) The aforementioned AR hololens is It estimates the user's emotions and adjusts the timing of translation based on those emotions. The system described in Appendix 2, characterized by the features described herein. (Note 11) The aforementioned AR hololens is Provides nearby tourist information based on the user's location. The system described in Appendix 2, characterized by the features described herein. (Note 12) The aforementioned AR hololens is Display relevant historical background and cultural information based on the user's interests. The system described in Appendix 2, characterized by the features described herein. (Note 13) The aforementioned scroll-type portable monitor is The system estimates the user's emotions and adjusts how location information is displayed based on those emotions. The system described in Appendix 3, characterized by the features described herein. (Note 14) The aforementioned scroll-type portable monitor is Dynamically updates based on the user's current location and destination. The system described in Appendix 3, characterized by the features described herein. (Note 15) The aforementioned scroll-type portable monitor is Improving display technology to reproduce the texture of washi paper and the brushstrokes. The system described in Appendix 3, characterized by the features described herein. (Note 16) The aforementioned scroll-type portable monitor is It estimates the user's emotions and determines the priority of displayed content based on those estimated emotions. The system described in Appendix 3, characterized by the features described herein. (Note 17) The aforementioned scroll-type portable monitor is Display recommended sightseeing routes based on the user's past visit history. The system described in Appendix 3, characterized by the features described herein. (Note 18) The aforementioned scroll-type portable monitor is Provide relevant event information based on user interests. The system described in Appendix 3, characterized by the features described herein. (Note 19) The aforementioned inro-shaped device is The system estimates the user's emotions and adjusts the payment confirmation method based on those emotions. The system described in Appendix 4, characterized by the features described herein. (Note 20) The aforementioned inro-shaped device is Display recommended products based on the user's purchase history. The system described in Appendix 4, characterized by the features described herein. (Note 21) The aforementioned inro-shaped device is Improving technology to enhance the security of contactless payments. The system described in Appendix 4, characterized by the features described herein. (Note 22) The aforementioned inro-shaped device is It estimates the user's emotions and adjusts the timing of payments based on those estimated emotions. The system described in Appendix 4, characterized by the features described herein. (Note 23) The aforementioned inro-shaped device is Provides information about nearby stores based on the user's location. The system described in Appendix 4, characterized by the features described herein. (Note 24) The aforementioned inro-shaped device is Display relevant coupon information based on user interests. The system described in Appendix 4, characterized by the features described herein. (Note 25) The aforementioned free app with ads, It estimates the user's emotions and adjusts how ads are displayed based on those estimated emotions. The system described in Appendix 5, characterized by the features described herein. (Note 26) The aforementioned free app with ads, Display the most relevant ads based on the user's in-app behavior history. The system described in Appendix 5, characterized by the features described herein. (Note 27) The aforementioned free app with ads, Dynamically adjust the frequency and timing of ad displays based on user behavior. The system described in Appendix 5, characterized by the features described herein. (Note 28) The aforementioned free app with ads, It estimates the user's emotions and customizes the ad content based on those estimated emotions. The system described in Appendix 5, characterized by the features described herein. (Note 29) The aforementioned free app with ads, The app displays location-specific ads based on the user's location within the app. The system described in Appendix 5, characterized by the features described herein. (Note 30) The aforementioned free app with ads, Based on the user's interests within the app, it displays advertisements for relevant products and services. The system described in Appendix 5, characterized by the features described herein. (Note 31) The aforementioned AI-generated personalized experience generation unit is: The system estimates the user's emotions and adjusts the content of the guided story based on those estimated emotions. The system described in Appendix 6, characterized by the features described herein. (Note 32) The aforementioned AI-generated personalized experience generation unit is: Based on the user's past behavior history, we create the optimal experience. The system described in Appendix 6, characterized by the features described herein. (Note 33) The aforementioned AI-generated personalized experience generation unit is: The user experience is dynamically updated according to the user's current situation and environment. The system described in Appendix 6, characterized by the features described herein. (Note 34) The aforementioned AI-generated personalized experience generation unit is: It estimates the user's emotions and adjusts how visuals are displayed based on those estimated emotions. The system described in Appendix 6, characterized by the features described herein. (Note 35) The aforementioned AI-generated personalized experience generation unit is: Based on the user's location information, we suggest the optimal sightseeing route. The system described in Appendix 6, characterized by the features described herein. (Note 36) The aforementioned AI-generated personalized experience generation unit is: Based on user interests, we provide relevant historical and cultural information. The system described in Appendix 6, characterized by the features described herein. [Explanation of symbols]

[0195] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots

Claims

1. AR hololenses that go well with traditional Japanese clothing, A scroll-shaped portable monitor with a Japanese paper and brush-like texture, An inro-shaped device, Free apps with ads, It comprises a personalized experience generation unit powered by generational AI. A system characterized by the following features.

2. The aforementioned AR hololens is Provides real-time translation functionality. The system according to feature 1.

3. The aforementioned scroll-type portable monitor is Display location information for Japanese paper and brush-like textures. The system according to feature 1.

4. The aforementioned inro-shaped device is Make contactless payments The system according to feature 1.

5. The aforementioned free app with ads, The service provides an AR experience through in-app purchases. The system according to feature 1.

6. The AI-generated personalized experience generation unit is: Personalize the guidance story and visuals according to the user's interests and the level of congestion. The system according to feature 1.

7. The aforementioned AR hololens is It estimates the user's emotions and adjusts the translation's expression based on those estimated emotions. The system according to feature 2.

8. The aforementioned AR hololens is The AR HoloLens display content can be customized according to the type and design of the Japanese traditional clothing. The system according to feature 2.

Images