System

Abstract

To provide a system according to an embodiment that allows a user to enjoy traveling abroad beyond a language barrier.SOLUTION: A system according to an embodiment comprises a translation unit, an information providing unit, a voice guide unit, and an AR guiding unit. The translation unit translates information according to the language of a user. The information providing unit provides information on sightseeing spots and restaurants as information translated by the translation unit. The voice guide unit carries out voice guide in relation to the information provided by the information providing unit. The AR guiding unit provides real-time guidance by using an AR technique.SELECTED DRAWING: Figure 1

Description

[Technical field]

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

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

[0003] [Patent Document 1] JP 2022-180282 A Summary of the Invention [Problem to be solved by the invention]

[0004] With conventional technology, there was a problem that it was difficult to understand information about tourist spots and restaurants while traveling abroad due to language barriers.

[0005] The system according to the embodiment aims to overcome language barriers and enjoy overseas travel. [Means for solving the problem]

[0006] The system according to the embodiment includes a translation unit, an information providing unit, an audio guide unit, and an AR guidance unit. The translation unit translates information to match the language of the user. The information providing unit provides tourist spot or restaurant information as information translated by the translation unit. The audio guide unit provides audio guidance regarding the information provided by the information providing unit. The AR guidance unit provides real-time guidance using AR technology together with the audio guidance. Effect of the Invention

[0007] The system according to the embodiment enables users to enjoy traveling abroad while overcoming language barriers. [Brief description of the drawings]

[0008] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Diagram 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. FIG. [Diagram 3] FIG. 11 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Diagram 5] FIG. 13 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 13 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 13 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

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

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

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

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

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

[0014] In the following embodiments, a communication I / F (Interface) with a code is an interface including a communication processor and an antenna. The communication I / F controls communication between multiple computers. An example of a communication standard applied to the communication I / F is a wireless communication standard 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." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. In addition, in this specification, the same idea as "A and / or B" is also applied when three or more things are expressed by connecting them with "and / or."

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

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

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

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

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

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

[0022] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for transmitting and receiving various types of information between the processor 46 and the processor 28 via the network 54.

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

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

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

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

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

[0028] (Example 1) A travel support system according to an embodiment of the present invention is a system that allows a user to overcome language barriers and enjoy traveling abroad. In this travel support system, a user accesses an app and acquires information such as tourist spot information, restaurant information, and traffic information. Next, the system automatically translates and displays the information according to the user's language. Furthermore, real-time guidance is provided using audio guides and AR technology. This mechanism allows a user to overcome language barriers and enjoy traveling with confidence while learning about local culture and customs. For example, a user accesses an app and acquires information such as tourist spot information, restaurant information, and traffic information. At this time, the user can set his / her own language. For example, if Japanese is set, the system provides information in Japanese. Next, the system automatically translates information according to the user's language. For example, tourist spot information provided in English is translated into Japanese. This translation is performed by AI. The AI ​​analyzes information such as tourist spot information, restaurant information, and traffic information, and translates it into the user's language. Furthermore, the system utilizes audio guides and AR technology to provide real-time guidance. For example, when a user arrives at a tourist spot, the system starts audio guidance and provides tourist spot information by voice. In addition, AR technology is used to display tourist spot information on the screen of the user's smartphone. This allows users to obtain information visually as well. This system allows users to overcome language barriers and enjoy traveling with confidence while learning about local culture and customs. For example, when a user goes to a restaurant, the system translates the menu information and provides an audio guide explaining the dishes. It also uses AR technology to display photos and descriptions of the dishes on the smartphone screen, making it easier for users to understand the contents of the dishes. In this way, the travel support system allows users to overcome language barriers and enjoy traveling abroad.

[0029] The travel support system according to the embodiment includes a translation unit, an information providing unit, an audio guide unit, and an AR guidance unit. The translation unit translates information according to the user's language. The translation unit translates information such as tourist spot information, restaurant information, and traffic information into the user's language. The translation unit analyzes information using AI and translates it into the user's language. For example, the translation unit translates tourist spot information provided in English into Japanese. The information providing unit provides the user with the information translated by the translation unit. The information providing unit provides the user with tourist spot and restaurant information, for example. The information providing unit analyzes the translated information using AI and provides it to the user. For example, the information providing unit provides the user with the translated tourist spot information. The audio guide unit provides audio guidance regarding the information provided by the information providing unit. The audio guide unit provides tourist spot information by audio, for example. The audio guide unit analyzes information using AI and provides audio guidance. For example, the audio guide unit provides tourist spot information by audio. The AR guidance unit provides real-time guidance using AR technology together with the audio guidance. The AR guidance unit, for example, displays information about tourist spots on the screen of the user's smartphone. The AR guidance unit analyzes information using AI and provides guidance using AR technology. For example, the AR guidance unit displays information about tourist spots on the screen of the user's smartphone. This allows the travel support system according to the embodiment to allow the user to overcome language barriers and enjoy overseas travel. For example, the translation unit translates information about tourist spots, restaurant information, transportation information, etc. into the user's language. The information providing unit provides the translated information to the user. The audio guide unit provides information about tourist spots by audio. The AR guidance unit displays information about tourist spots on the screen of the user's smartphone. This allows the user to overcome language barriers and enjoy overseas travel.

[0030] The translation unit translates information to match the user's language. For example, the translation unit translates information such as tourist spot information, restaurant information, and traffic information into the user's language. Specifically, the translation unit uses AI to analyze information and translate it into the user's language. AI uses natural language processing technology to analyze the input text and perform appropriate translation after understanding the context and meaning. For example, when translating tourist spot information provided in English into Japanese, AI accurately analyzes the name and description of the tourist spot and converts it into natural Japanese. Furthermore, the translation unit can provide more personalized translations by taking into account the user's language settings and past translation history. For example, if a user prefers certain technical terms or phrases, the translation unit learns that information and reflects it in subsequent translations. The translation unit can also translate in real time, allowing users to instantly obtain the information they need locally. For example, when a user looks at a menu at a local restaurant, the contents of the menu can be translated on the spot and provided to the user. In this way, the translation unit helps users to smoothly obtain information and enjoy their trip without feeling a language barrier.

[0031] The information providing unit provides the user with the information translated by the translation unit. The information providing unit provides the user with, for example, tourist spot and restaurant information. Specifically, the information providing unit uses AI to analyze the translated information and provides it to the user. The AI ​​selects and provides optimal information based on the user's current location, interests, and past behavioral history. For example, when the user approaches a tourist spot, the information providing unit notifies the user of detailed information about the spot and recommended activities. In addition, the information providing unit can provide customized information according to the user's preferences. For example, if the user is interested in gourmet food, the information providing unit preferentially provides information about nearby restaurants and cafes. Furthermore, the information providing unit can provide information that is updated in real time. For example, the information providing unit instantly obtains the latest information required during the trip, such as traffic conditions, weather information, and event status, and notifies the user. As a result, the information providing unit can obtain the information required by the user during the trip in a timely manner and support a comfortable trip.

[0032] The audio guide unit provides audio guidance regarding the information provided by the information providing unit. Specifically, the audio guide unit provides information on tourist spots by voice. The audio guide unit uses AI to analyze information and provides audio guidance. The AI ​​uses text-to-speech conversion technology to provide information with natural pronunciation and intonation. For example, the audio guide unit provides audio guidance on the history and highlights of tourist spots, allowing the user to obtain not only visual information but also auditory information. Furthermore, the audio guide unit can provide audio guidance in multiple languages ​​according to the user's language settings. For example, audio guidance is provided in multiple languages, such as Japanese, English, and Chinese, allowing the user to understand the information in his or her own language. Furthermore, the audio guide unit can start audio guidance at an appropriate time based on the user's location information. For example, when the user approaches a specific tourist spot, audio guidance is automatically started and information about the spot is provided. As a result, the audio guide unit can provide the user with not only visual information but also auditory information, providing a richer travel experience.

[0033] The AR guidance unit uses AR technology to provide real-time guidance along with audio guidance. Specifically, the AR guidance unit displays information about tourist spots on the screen of the user's smartphone. It uses AI to analyze information and provides guidance using AR technology. AI analyzes the user's location information and camera footage to generate appropriate AR content. For example, when a user points the smartphone camera at a tourist spot, information about the spot, historical background, and highlights are superimposed on the screen. Furthermore, the AR guidance unit can update guidance in real time according to the user's movement. For example, when a user moves from one tourist spot to another, new information is displayed each time, and the next highlight and recommended route are guided. The AR guidance unit can also provide interactive content. For example, when a user taps a specific point on the screen, detailed information and related videos are displayed. As a result, the AR guidance unit allows users to not only obtain information visually, but also explore information interactively, providing a more attractive travel experience.

[0034] The translation unit can translate tourist spot information, restaurant information, and transportation information into the user's language. The translation unit translates, for example, tourist spot information, restaurant information, transportation information, and the like into the user's language. The translation unit analyzes information using AI and translates it into the user's language. For example, the translation unit translates tourist spot information provided in English into Japanese. This allows the user to obtain information in their own language. Some or all of the above-mentioned processing in the translation unit may be performed, for example, using AI, or may be performed without using AI. For example, the translation unit can input tourist spot information into AI and have the AI ​​perform the translation.

[0035] The information providing unit can provide the translated information to the user. The information providing unit, for example, provides the user with translated tourist spot and restaurant information. The information providing unit analyzes the translated information using AI and provides it to the user. For example, the information providing unit provides the user with translated tourist spot information. This allows the user to easily obtain the translated information. Some or all of the above-mentioned processing in the information providing unit may be performed, for example, using AI, or may be performed without using AI. For example, the information providing unit can input the translated information to AI and have the AI ​​execute the information provision.

[0036] The audio guide unit can provide information about tourist spots by audio. The audio guide unit, for example, provides information about tourist spots by audio. The audio guide unit analyzes information using AI and provides audio guidance. For example, the audio guide unit provides information about tourist spots by audio. This allows the user to obtain information about tourist spots by audio. Some or all of the above-mentioned processing in the audio guide unit may be performed, for example, using AI, or may be performed without using AI. For example, the audio guide unit can input information about tourist spots into AI and have the AI ​​perform audio guidance.

[0037] The AR guidance unit can display information about tourist spots on the screen of the user's smartphone. The AR guidance unit, for example, displays information about tourist spots on the screen of the user's smartphone. The AR guidance unit analyzes information using AI and provides guidance using AR technology. For example, the AR guidance unit displays information about tourist spots on the screen of the user's smartphone. This allows the user to visually obtain information about tourist spots. Some or all of the above-mentioned processing in the AR guidance unit may be performed, for example, using AI, or may be performed without using AI. For example, the AR guidance unit can input information about tourist spots into AI and have the AI ​​perform AR guidance.

[0038] The AR guidance unit can display photos and descriptions of dishes on the screen of the user's smartphone. The AR guidance unit, for example, displays photos and descriptions of dishes on the screen of the user's smartphone. The AR guidance unit analyzes information using AI and provides guidance using AR technology. For example, the AR guidance unit displays photos and descriptions of dishes on the screen of the user's smartphone. This allows the user to visually obtain information about dishes. Some or all of the above-mentioned processing in the AR guidance unit may be performed, for example, using AI or may be performed without using AI. For example, the AR guidance unit can input information about dishes to AI and have the AI ​​perform AR guidance.

[0039] The translation unit can select an appropriate translation method by referring to the user's past translation history during translation. For example, the translation unit selects the optimal translation method by referring to the user's past translation history during translation. The translation unit uses AI to analyze the user's past translation history and selects the optimal translation method. For example, the translation unit translates by giving priority to expressions that the user has used in the past. The translation unit can also apply a translation style that the user found easy to understand in the past. Furthermore, the translation unit can also preferentially use specific terms and phrases from the user's past translation history. This provides an optimal translation based on the user's past translation history. Some or all of the above-mentioned processing in the translation unit may be performed, for example, using AI, or may be performed without using AI. For example, the translation unit can input the user's past translation history into AI and cause AI to select the optimal translation method.

[0040] The translation unit can determine the priority of translation based on the user's current interests and concerns during translation. The translation unit, for example, determines the priority of translation based on the user's current interests and concerns during translation. The translation unit uses AI to analyze the user's current interests and concerns and determines the priority of translation. For example, the translation unit preferentially translates information about tourist spots in which the user is currently interested. The translation unit can also preferentially translate menus of restaurants in which the user is interested. Furthermore, the translation unit can also preferentially translate event information in which the user is paying attention. This provides a preferential translation according to the user's interests and concerns. A part or all of the above-mentioned processing in the translation unit may be performed, for example, using AI, or may be performed without using AI. For example, the translation unit can input the user's current interests and concerns into AI and have the AI ​​execute the determination of the priority of translation.

[0041] The translation unit can give priority to translating highly relevant information in consideration of the geographical location information of the user during translation. For example, the translation unit gives priority to translating highly relevant information in consideration of the geographical location information of the user during translation. The translation unit uses AI to analyze the geographical location information of the user and gives priority to translating highly relevant information. For example, the translation unit gives priority to translating information about tourist spots related to the user's current location. The translation unit can also give priority to translating menus of restaurants near the user. Furthermore, the translation unit can also give priority to translating traffic information in the area where the user is staying. As a result, information related to the user's current location is translated preferentially. A part or all of the above-mentioned processing in the translation unit may be performed, for example, using AI, or may be performed without using AI. For example, the translation unit can input the user's geographical location information to AI and cause AI to translate highly relevant information.

[0042] The translation unit can analyze the user's social media activities and translate the related information during translation. For example, the translation unit analyzes the user's social media activities and translates the related information during translation. The translation unit uses AI to analyze the user's social media activities and translate the related information. For example, the translation unit preferentially translates information about tourist spots shared by the user on social media. The translation unit can also preferentially translate menus of restaurants mentioned by the user on social media. Furthermore, the translation unit can also preferentially translate event information that the user is following on social media. This translates the related information based on the user's social media activities. Some or all of the above-mentioned processing in the translation unit may be performed, for example, using AI, or may be performed without using AI. For example, the translation unit can input the user's social media activities into AI and have the AI ​​execute the translation of the related information.

[0043] The information providing unit can select optimal information by referring to the user's past browsing history when providing information. For example, the information providing unit selects optimal information by referring to the user's past browsing history when providing information. The information providing unit uses AI to analyze the user's past browsing history and selects optimal information. For example, the information providing unit preferentially provides information on tourist spots that the user has viewed in the past. The information providing unit can also preferentially provide information on restaurants in which the user has shown interest in the past. Furthermore, the information providing unit can also provide highly relevant traffic guidance from the user's past browsing history. This provides optimal information based on the user's past browsing history. A part or all of the above-mentioned processing in the information providing unit may be performed, for example, using AI, or may be performed without using AI. For example, the information providing unit can input the user's past browsing history into AI and cause AI to select optimal information.

[0044] The information providing unit can determine the priority of information based on the user's current interests and concerns when providing information. For example, the information providing unit determines the priority of information based on the user's current interests and concerns when providing information. The information providing unit uses AI to analyze the user's current interests and concerns and determines the priority of information. For example, the information providing unit preferentially provides information on tourist spots in which the user is currently interested. The information providing unit can also preferentially provide information on restaurants in which the user is interested. Furthermore, the information providing unit can also preferentially provide event information in which the user is paying attention. This provides preferential information according to the user's interests and concerns. A part or all of the above-mentioned processing in the information providing unit may be performed, for example, using AI, or may be performed without using AI. For example, the information providing unit can input the user's current interests and concerns into AI and cause AI to execute the determination of the priority of information.

[0045] The information providing unit can provide highly relevant information preferentially in consideration of the geographical location information of the user when providing information. For example, the information providing unit provides highly relevant information preferentially in consideration of the geographical location information of the user when providing information. The information providing unit uses AI to analyze the geographical location information of the user and preferentially provides highly relevant information. For example, the information providing unit preferentially provides information on tourist spots related to the location where the user is currently located. The information providing unit can also preferentially provide information on restaurants near the user. Furthermore, the information providing unit can also preferentially provide traffic guidance for the area where the user is staying. As a result, information related to the user's current location is preferentially provided. A part or all of the above-mentioned processing in the information providing unit may be performed, for example, using AI, or may be performed without using AI. For example, the information providing unit can input the geographical location information of the user to AI and cause the AI ​​to provide highly relevant information.

[0046] The information providing unit can analyze the social media activity of the user at the time of providing information and provide related information. For example, the information providing unit can analyze the social media activity of the user at the time of providing information and provide related information. The information providing unit uses AI to analyze the social media activity of the user and provide related information. For example, the information providing unit can preferentially provide information on tourist spots shared by the user on social media. The information providing unit can also preferentially provide information on restaurants mentioned by the user on social media. Furthermore, the information providing unit can also preferentially provide information on events that the user is following on social media. This provides related information based on the social media activity of the user. A part or all of the above-mentioned processing in the information providing unit may be performed, for example, using AI, or may be performed without using AI. For example, the information providing unit can input the social media activity of the user to AI and cause the AI ​​to provide related information.

[0047] The voice guide unit can select the optimal guide method by referring to the user's past guide history during voice guidance. For example, the voice guide unit selects the optimal guide method by referring to the user's past guide history during voice guidance. The voice guide unit uses AI to analyze the user's past guide history and selects the optimal guide method. For example, the voice guide unit provides a guide style that the user has used in the past with preference. The voice guide unit can also apply a guide method that the user found easy to understand in the past. Furthermore, the voice guide unit can also use a specific tone or speed with preference from the user's past guide history. This provides an optimal guide based on the user's past guide history. A part or all of the above-mentioned processing in the voice guide unit may be performed, for example, using AI, or may be performed without using AI. For example, the voice guide unit can input the user's past guide history into AI and cause AI to select the optimal guide method.

[0048] The voice guide unit can determine the priority of the guide contents based on the user's current interests and concerns during voice guidance. For example, the voice guide unit determines the priority of the guide contents based on the user's current interests and concerns during voice guidance. The voice guide unit uses AI to analyze the user's current interests and concerns and determines the priority of the guide contents. For example, the voice guide unit preferentially guides information on tourist spots in which the user is currently interested. The voice guide unit can also preferentially guide information on restaurants in which the user is interested. Furthermore, the voice guide unit can also preferentially guide event information in which the user is paying attention. This provides preferential guidance according to the user's interests and concerns. A part or all of the above-mentioned processing in the voice guide unit may be performed, for example, using AI, or may be performed without using AI. For example, the voice guide unit can input the user's current interests and concerns into AI and cause AI to execute the determination of the priority of the guide contents.

[0049] The voice guide unit can give priority to highly relevant information during voice guidance, taking into consideration the geographical location information of the user. For example, during voice guidance, the voice guide unit gives priority to highly relevant information during voice guidance, taking into consideration the geographical location information of the user. The voice guide unit uses AI to analyze the geographical location information of the user and gives priority to highly relevant information. For example, the voice guide unit gives priority to information on tourist spots related to the location where the user is currently located. The voice guide unit can also give priority to information on restaurants near the user. Furthermore, the voice guide unit can also give priority to traffic guidance in the area where the user is staying. As a result, information related to the user's current location is given priority. A part or all of the above-mentioned processing in the voice guide unit may be performed, for example, using AI, or may be performed without using AI. For example, the voice guide unit can input the geographical location information of the user to AI and cause AI to perform guidance on highly relevant information.

[0050] The voice guide unit can analyze the user's social media activities and guide the user to related information during voice guidance. The voice guide unit, for example, analyzes the user's social media activities and guides the user to related information during voice guidance. The voice guide unit uses AI to analyze the user's social media activities and guides the user to related information. For example, the voice guide unit preferentially guides the user to information on tourist spots shared by the user on social media. The voice guide unit can also preferentially guide the user to information on restaurants mentioned by the user on social media. Furthermore, the voice guide unit can also preferentially guide the user to event information that the user is following on social media. This guides the user to related information based on the user's social media activities. A part or all of the above-mentioned processing in the voice guide unit may be performed, for example, using AI, or may be performed without using AI. For example, the voice guide unit can input the user's social media activities into AI and cause AI to execute the guide for related information.

[0051] The AR guidance unit can select the optimal guidance method by referring to the user's past guidance history during AR guidance. For example, the AR guidance unit selects the optimal guidance method by referring to the user's past guidance history during AR guidance. The AR guidance unit uses AI to analyze the user's past guidance history and selects the optimal guidance method. For example, the AR guidance unit provides a guidance style that the user has used in the past with preference. The AR guidance unit can also apply a guidance method that the user found easy to understand in the past. Furthermore, the AR guidance unit can also use a specific display method with preference from the user's past guidance history. This provides optimal guidance based on the user's past guidance history. A part or all of the above-mentioned processing in the AR guidance unit may be performed, for example, using AI, or may be performed without using AI. For example, the AR guidance unit can input the user's past guidance history into AI and cause AI to select the optimal guidance method.

[0052] The AR guidance unit can determine the priority of the guidance contents based on the user's current interests and concerns during AR guidance. For example, the AR guidance unit determines the priority of the guidance contents based on the user's current interests and concerns during AR guidance. The AR guidance unit uses AI to analyze the user's current interests and concerns and determines the priority of the guidance contents. For example, the AR guidance unit preferentially guides the user to information on tourist spots in which the user is currently interested. The AR guidance unit can also preferentially guide the user to information on restaurants in which the user is interested. Furthermore, the AR guidance unit can also preferentially guide the user to event information in which the user is paying attention. This provides preferential guidance according to the user's interests and concerns. A part or all of the above-mentioned processing in the AR guidance unit may be performed, for example, using AI, or may be performed without using AI. For example, the AR guidance unit can input the user's current interests and concerns into AI and cause AI to execute the determination of the priority of the guidance contents.

[0053] The AR guidance unit can provide highly relevant information preferentially in consideration of the geographical location information of the user during AR guidance. For example, the AR guidance unit provides highly relevant information preferentially in consideration of the geographical location information of the user during AR guidance. The AR guidance unit uses AI to analyze the geographical location information of the user and provides highly relevant information preferentially. For example, the AR guidance unit provides preferential guidance on information of tourist spots related to the location where the user is currently located. The AR guidance unit can also provide preferential guidance on information of restaurants near the user. Furthermore, the AR guidance unit can also provide preferential guidance on traffic information in the area where the user is staying. As a result, information related to the user's current location is provided preferentially. A part or all of the above-mentioned processing in the AR guidance unit may be performed using, for example, AI, or may be performed without using AI. For example, the AR guidance unit can input the geographical location information of the user to AI and cause AI to perform guidance on highly relevant information.

[0054] The AR guidance unit can analyze the social media activity of the user during AR guidance and guide the user to related information. For example, the AR guidance unit analyzes the social media activity of the user during AR guidance and guides the user to related information. The AR guidance unit uses AI to analyze the social media activity of the user and guides the user to related information. For example, the AR guidance unit preferentially guides the user to information on tourist spots shared by the user on social media. The AR guidance unit can also preferentially guide the user to information on restaurants mentioned by the user on social media. Furthermore, the AR guidance unit can also preferentially guide the user to event information that the user is following on social media. This provides guidance to related information based on the user's social media activity. A part or all of the above-mentioned processing in the AR guidance unit may be performed, for example, using AI, or may be performed without using AI. For example, the AR guidance unit can input the user's social media activity into AI and cause AI to perform guidance of related information.

[0055] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0056] The travel assistance system may further include a health management unit that monitors the user's health condition. The health management unit collects and analyzes data such as the user's heart rate, number of steps, and sleep patterns. For example, if the user has been walking for a long time, the health management unit may send a notification encouraging the user to take a break. Also, if the user has a specific allergy, the health management unit may make suggestions that take the allergy information into consideration when providing restaurant information. Furthermore, the health management unit may monitor the user's stress level and suggest tourist spots and activities that will help the user relax. This allows the user to enjoy traveling while maintaining their health.

[0057] The travel support system may further include a planning unit that creates a customized travel plan based on the user's preferences. The planning unit analyzes the user's past travel history and current interests to propose an optimal travel plan. For example, if the user is interested in historical tourist spots, the planning unit creates a plan centered on historical sites in the area. Also, if the user is interested in gourmet food, the planning unit may propose a plan that includes popular local restaurants. Furthermore, the planning unit may provide flexible plans that match the user's budget and time. This allows the user to enjoy a trip that suits their preferences.

[0058] The travel assistance system may further include a safety management unit for ensuring the safety of the user. The safety management unit monitors the user's current location and surrounding security information in real time, and issues a warning if the user approaches a dangerous area. For example, if the user attempts to enter a dangerous area, the safety management unit sends a warning message. In addition, in an emergency, the safety management unit may provide information on the nearest police station or hospital. Furthermore, the safety management unit may include a function for sharing the user's location information with family and friends. This allows the user to enjoy traveling with peace of mind.

[0059] The travel support system may further include a traffic management unit that optimizes the user's means of transportation. The traffic management unit proposes the optimal means of transportation by taking into consideration the user's current location and destination. For example, when the user goes to a tourist spot, the traffic management unit calculates the most efficient route and proposes the use of public transportation timetables or taxis. The traffic management unit may also provide real-time information on traffic congestion and delays to help the user travel smoothly. Furthermore, the traffic management unit may analyze the user's travel history and provide information that will be useful for the user's next trip. This allows the user to travel efficiently and enjoy their trip.

[0060] The travel support system may further include a shopping support unit that improves the user's shopping experience. The shopping support unit suggests optimal shopping spots based on the user's interests and budget. For example, if the user is interested in a particular brand or product, the shopping support unit suggests a shopping route that includes stores and products of that brand. The shopping support unit may also provide nearby sale information and coupons based on the user's current location. Furthermore, the shopping support unit may analyze the user's purchase history and provide information that will be useful for the user's next shopping trip. This allows the user to enjoy shopping efficiently.

[0061] The process flow of the first embodiment will be briefly described below.

[0062] Step 1: The translation unit translates information into the user's language. For example, information about tourist attractions, restaurants, and transportation is translated into the user's language. The translation unit uses AI to analyze the information and translate it into the user's language. Step 2: The information providing unit provides the information translated by the translation unit to the user. For example, it provides tourist spot and restaurant information to the user. The information providing unit uses AI to analyze the translated information and provides it to the user. Step 3: The audio guide unit provides audio guidance regarding the information provided by the information providing unit. For example, it provides information about tourist spots by voice. The audio guide unit uses AI to analyze the information and provide audio guidance. Step 4: The AR guidance unit uses AR technology to provide real-time guidance along with the audio guide. For example, it displays information about tourist spots on the user's smartphone screen. The AR guidance unit uses AI to analyze information and provides guidance using AR technology.

[0063] (Example 2) A travel support system according to an embodiment of the present invention is a system that allows a user to overcome language barriers and enjoy traveling abroad. In this travel support system, a user accesses an app and acquires information such as tourist spot information, restaurant information, and traffic information. Next, the system automatically translates and displays the information according to the user's language. Furthermore, real-time guidance is provided using audio guides and AR technology. This mechanism allows a user to overcome language barriers and enjoy traveling with confidence while learning about local culture and customs. For example, a user accesses an app and acquires information such as tourist spot information, restaurant information, and traffic information. At this time, the user can set his / her own language. For example, if Japanese is set, the system provides information in Japanese. Next, the system automatically translates information according to the user's language. For example, tourist spot information provided in English is translated into Japanese. This translation is performed by AI. The AI ​​analyzes information such as tourist spot information, restaurant information, and traffic information, and translates it into the user's language. Furthermore, the system utilizes audio guides and AR technology to provide real-time guidance. For example, when a user arrives at a tourist spot, the system starts audio guidance and provides tourist spot information by voice. In addition, AR technology is used to display tourist spot information on the screen of the user's smartphone. This allows users to obtain information visually as well. This system allows users to overcome language barriers and enjoy traveling with confidence while learning about local culture and customs. For example, when a user goes to a restaurant, the system translates the menu information and provides an audio guide explaining the dishes. It also uses AR technology to display photos and descriptions of the dishes on the smartphone screen, making it easier for users to understand the contents of the dishes. In this way, the travel support system allows users to overcome language barriers and enjoy traveling abroad.

[0064] The travel support system according to the embodiment includes a translation unit, an information providing unit, an audio guide unit, and an AR guidance unit. The translation unit translates information according to the user's language. The translation unit translates information such as tourist spot information, restaurant information, and traffic information into the user's language. The translation unit analyzes information using AI and translates it into the user's language. For example, the translation unit translates tourist spot information provided in English into Japanese. The information providing unit provides the user with the information translated by the translation unit. The information providing unit provides the user with tourist spot and restaurant information, for example. The information providing unit analyzes the translated information using AI and provides it to the user. For example, the information providing unit provides the user with the translated tourist spot information. The audio guide unit provides audio guidance regarding the information provided by the information providing unit. The audio guide unit provides tourist spot information by audio, for example. The audio guide unit analyzes information using AI and provides audio guidance. For example, the audio guide unit provides tourist spot information by audio. The AR guidance unit provides real-time guidance using AR technology together with the audio guidance. The AR guidance unit, for example, displays information about tourist spots on the screen of the user's smartphone. The AR guidance unit analyzes information using AI and provides guidance using AR technology. For example, the AR guidance unit displays information about tourist spots on the screen of the user's smartphone. This allows the travel support system according to the embodiment to allow the user to overcome language barriers and enjoy overseas travel. For example, the translation unit translates information about tourist spots, restaurant information, transportation information, etc. into the user's language. The information providing unit provides the translated information to the user. The audio guide unit provides information about tourist spots by audio. The AR guidance unit displays information about tourist spots on the screen of the user's smartphone. This allows the user to overcome language barriers and enjoy overseas travel.

[0065] The translation unit translates information to match the user's language. For example, the translation unit translates information such as tourist spot information, restaurant information, and traffic information into the user's language. Specifically, the translation unit uses AI to analyze information and translate it into the user's language. AI uses natural language processing technology to analyze the input text and perform appropriate translation after understanding the context and meaning. For example, when translating tourist spot information provided in English into Japanese, AI accurately analyzes the name and description of the tourist spot and converts it into natural Japanese. Furthermore, the translation unit can provide more personalized translations by taking into account the user's language settings and past translation history. For example, if a user prefers certain technical terms or phrases, the translation unit learns that information and reflects it in subsequent translations. The translation unit can also translate in real time, allowing users to instantly obtain the information they need locally. For example, when a user looks at a menu at a local restaurant, the contents of the menu can be translated on the spot and provided to the user. In this way, the translation unit helps users to smoothly obtain information and enjoy their trip without feeling a language barrier.

[0066] The information providing unit provides the user with the information translated by the translation unit. The information providing unit provides the user with, for example, tourist spot and restaurant information. Specifically, the information providing unit uses AI to analyze the translated information and provides it to the user. The AI ​​selects and provides optimal information based on the user's current location, interests, and past behavioral history. For example, when the user approaches a tourist spot, the information providing unit notifies the user of detailed information about the spot and recommended activities. In addition, the information providing unit can provide customized information according to the user's preferences. For example, if the user is interested in gourmet food, the information providing unit preferentially provides information about nearby restaurants and cafes. Furthermore, the information providing unit can provide information that is updated in real time. For example, the information providing unit instantly obtains the latest information required during the trip, such as traffic conditions, weather information, and event status, and notifies the user. As a result, the information providing unit can obtain the information required by the user during the trip in a timely manner and support a comfortable trip.

[0067] The audio guide unit provides audio guidance regarding the information provided by the information providing unit. Specifically, the audio guide unit provides information on tourist spots by voice. The audio guide unit uses AI to analyze information and provides audio guidance. The AI ​​uses text-to-speech conversion technology to provide information with natural pronunciation and intonation. For example, the audio guide unit provides audio guidance on the history and highlights of tourist spots, allowing the user to obtain not only visual information but also auditory information. Furthermore, the audio guide unit can provide audio guidance in multiple languages ​​according to the user's language settings. For example, audio guidance is provided in multiple languages, such as Japanese, English, and Chinese, allowing the user to understand the information in his or her own language. Furthermore, the audio guide unit can start audio guidance at an appropriate time based on the user's location information. For example, when the user approaches a specific tourist spot, audio guidance is automatically started and information about the spot is provided. As a result, the audio guide unit can provide the user with not only visual information but also auditory information, providing a richer travel experience.

[0068] The AR guidance unit uses AR technology to provide real-time guidance along with audio guidance. Specifically, the AR guidance unit displays information about tourist spots on the screen of the user's smartphone. It uses AI to analyze information and provides guidance using AR technology. AI analyzes the user's location information and camera footage to generate appropriate AR content. For example, when a user points the smartphone camera at a tourist spot, information about the spot, historical background, and highlights are superimposed on the screen. Furthermore, the AR guidance unit can update guidance in real time according to the user's movement. For example, when a user moves from one tourist spot to another, new information is displayed each time, and the next highlight and recommended route are guided. The AR guidance unit can also provide interactive content. For example, when a user taps a specific point on the screen, detailed information and related videos are displayed. As a result, the AR guidance unit allows users to not only obtain information visually, but also explore information interactively, providing a more attractive travel experience.

[0069] The translation unit can translate tourist spot information, restaurant information, and transportation information into the user's language. The translation unit translates, for example, tourist spot information, restaurant information, transportation information, and the like into the user's language. The translation unit analyzes information using AI and translates it into the user's language. For example, the translation unit translates tourist spot information provided in English into Japanese. This allows the user to obtain information in their own language. Some or all of the above-mentioned processing in the translation unit may be performed, for example, using AI, or may be performed without using AI. For example, the translation unit can input tourist spot information into AI and have the AI ​​perform the translation.

[0070] The information providing unit can provide the translated information to the user. The information providing unit, for example, provides the user with translated tourist spot and restaurant information. The information providing unit analyzes the translated information using AI and provides it to the user. For example, the information providing unit provides the user with translated tourist spot information. This allows the user to easily obtain the translated information. Some or all of the above-mentioned processing in the information providing unit may be performed, for example, using AI, or may be performed without using AI. For example, the information providing unit can input the translated information to AI and have the AI ​​execute the information provision.

[0071] The audio guide unit can provide information about tourist spots by audio. The audio guide unit, for example, provides information about tourist spots by audio. The audio guide unit analyzes information using AI and provides audio guidance. For example, the audio guide unit provides information about tourist spots by audio. This allows the user to obtain information about tourist spots by audio. Some or all of the above-mentioned processing in the audio guide unit may be performed, for example, using AI, or may be performed without using AI. For example, the audio guide unit can input information about tourist spots into AI and have the AI ​​perform audio guidance.

[0072] The AR guidance unit can display information about tourist spots on the screen of the user's smartphone. The AR guidance unit, for example, displays information about tourist spots on the screen of the user's smartphone. The AR guidance unit analyzes information using AI and provides guidance using AR technology. For example, the AR guidance unit displays information about tourist spots on the screen of the user's smartphone. This allows the user to visually obtain information about tourist spots. Some or all of the above-mentioned processing in the AR guidance unit may be performed, for example, using AI, or may be performed without using AI. For example, the AR guidance unit can input information about tourist spots into AI and have the AI ​​perform AR guidance.

[0073] The AR guidance unit can display photos and descriptions of dishes on the screen of the user's smartphone. The AR guidance unit, for example, displays photos and descriptions of dishes on the screen of the user's smartphone. The AR guidance unit analyzes information using AI and provides guidance using AR technology. For example, the AR guidance unit displays photos and descriptions of dishes on the screen of the user's smartphone. This allows the user to visually obtain information about dishes. Some or all of the above-mentioned processing in the AR guidance unit may be performed, for example, using AI or may be performed without using AI. For example, the AR guidance unit can input information about dishes to AI and have the AI ​​perform AR guidance.

[0074] The translation unit can estimate the user's emotion and adjust the translation expression method based on the estimated user's emotion. The translation unit, for example, estimates the user's emotion and adjusts the translation expression method based on the estimated user's emotion. The translation unit estimates the user's emotion using AI and adjusts the translation expression method. For example, when the user is nervous, the translation unit translates using a concise and easy-to-understand expression. In addition, when the user is relaxed, the translation unit can also provide a translation including a detailed explanation. Furthermore, when the user is excited, the translation unit can also translate using an expression that reflects the emotion. This provides an appropriate translation according to the user's emotion. The emotion estimation is realized using an emotion estimation function using, for example, an emotion engine or a generation AI. The generation AI is, for example, a text generation AI (for example, LLM) or a multimodal generation AI, but is not limited to such examples. A part or all of the above-mentioned processing in the translation unit may be performed using, for example, an AI, or may be performed without using an AI. For example, the translation unit can input the user's emotion data into the AI ​​and cause the AI ​​to perform a translation based on the emotion.

[0075] The translation unit can select an appropriate translation method by referring to the user's past translation history during translation. For example, the translation unit selects the optimal translation method by referring to the user's past translation history during translation. The translation unit uses AI to analyze the user's past translation history and selects the optimal translation method. For example, the translation unit translates by giving priority to expressions that the user has used in the past. The translation unit can also apply a translation style that the user found easy to understand in the past. Furthermore, the translation unit can also preferentially use specific terms and phrases from the user's past translation history. This provides an optimal translation based on the user's past translation history. Some or all of the above-mentioned processing in the translation unit may be performed, for example, using AI, or may be performed without using AI. For example, the translation unit can input the user's past translation history into AI and cause AI to select the optimal translation method.

[0076] The translation unit can determine the priority of translation based on the user's current interests and concerns during translation. The translation unit, for example, determines the priority of translation based on the user's current interests and concerns during translation. The translation unit uses AI to analyze the user's current interests and concerns and determines the priority of translation. For example, the translation unit preferentially translates information about tourist spots in which the user is currently interested. The translation unit can also preferentially translate menus of restaurants in which the user is interested. Furthermore, the translation unit can also preferentially translate event information in which the user is paying attention. This provides a preferential translation according to the user's interests and concerns. A part or all of the above-mentioned processing in the translation unit may be performed, for example, using AI, or may be performed without using AI. For example, the translation unit can input the user's current interests and concerns into AI and have the AI ​​execute the determination of the priority of translation.

[0077] The translation unit can estimate the user's emotion and adjust the level of detail of the translation based on the estimated user's emotion. The translation unit, for example, estimates the user's emotion and adjusts the level of detail of the translation based on the estimated user's emotion. The translation unit estimates the user's emotion using AI and adjusts the level of detail of the translation. For example, the translation unit provides a concise and to the point translation when the user is nervous. The translation unit can also provide a translation including detailed information when the user is relaxed. Furthermore, the translation unit can also provide a detailed translation that reflects the emotion when the user is excited. This provides a translation with an appropriate level of detail according to the user's emotion. The emotion estimation is realized using an emotion estimation function using, for example, an emotion engine or a generation AI. The generation AI is, for example, a text generation AI (for example, LLM) or a multimodal generation AI, but is not limited to such examples. A part or all of the above-mentioned processing in the translation unit may be performed using, for example, an AI, or may be performed without using an AI. For example, the translation unit can input the user's emotion data to the AI ​​and cause the AI ​​to adjust the level of detail of the translation based on the emotion.

[0078] The translation unit can give priority to translating highly relevant information in consideration of the geographical location information of the user during translation. For example, the translation unit gives priority to translating highly relevant information in consideration of the geographical location information of the user during translation. The translation unit uses AI to analyze the geographical location information of the user and gives priority to translating highly relevant information. For example, the translation unit gives priority to translating information about tourist spots related to the user's current location. The translation unit can also give priority to translating menus of restaurants near the user. Furthermore, the translation unit can also give priority to translating traffic information in the area where the user is staying. As a result, information related to the user's current location is translated preferentially. A part or all of the above-mentioned processing in the translation unit may be performed, for example, using AI, or may be performed without using AI. For example, the translation unit can input the user's geographical location information to AI and cause AI to translate highly relevant information.

[0079] The translation unit can analyze the user's social media activities and translate the related information during translation. For example, the translation unit analyzes the user's social media activities and translates the related information during translation. The translation unit uses AI to analyze the user's social media activities and translate the related information. For example, the translation unit preferentially translates information about tourist spots shared by the user on social media. The translation unit can also preferentially translate menus of restaurants mentioned by the user on social media. Furthermore, the translation unit can also preferentially translate event information that the user is following on social media. This translates the related information based on the user's social media activities. Some or all of the above-mentioned processing in the translation unit may be performed, for example, using AI, or may be performed without using AI. For example, the translation unit can input the user's social media activities into AI and have the AI ​​execute the translation of the related information.

[0080] The information providing unit can estimate the user's emotion and adjust the display method of information based on the estimated user's emotion. The information providing unit, for example, estimates the user's emotion and adjusts the display method of information based on the estimated user's emotion. The information providing unit estimates the user's emotion using AI and adjusts the display method of information. For example, the information providing unit provides a display method that is simple and highly visible when the user is nervous. Furthermore, the information providing unit can also provide a display method that includes detailed information when the user is relaxed. Furthermore, the information providing unit can also provide a visually stimulating display method when the user is excited. This provides an appropriate display method according to the user's emotion. The emotion estimation is realized using an emotion estimation function using, for example, an emotion engine or a generation AI. The generation AI is, for example, a text generation AI (for example, LLM) or a multimodal generation AI, but is not limited to such examples. A part or all of the above-mentioned processing in the information providing unit may be performed using, for example, an AI, or may be performed without using an AI. For example, the information providing unit can input the user's emotion data to the AI ​​and cause the AI ​​to adjust the display method based on the emotion.

[0081] The information providing unit can select optimal information by referring to the user's past browsing history when providing information. For example, the information providing unit selects optimal information by referring to the user's past browsing history when providing information. The information providing unit uses AI to analyze the user's past browsing history and selects optimal information. For example, the information providing unit preferentially provides information on tourist spots that the user has viewed in the past. The information providing unit can also preferentially provide information on restaurants in which the user has shown interest in the past. Furthermore, the information providing unit can also provide highly relevant traffic guidance from the user's past browsing history. This provides optimal information based on the user's past browsing history. A part or all of the above-mentioned processing in the information providing unit may be performed, for example, using AI, or may be performed without using AI. For example, the information providing unit can input the user's past browsing history into AI and cause AI to select optimal information.

[0082] The information providing unit can determine the priority of information based on the user's current interests and concerns when providing information. For example, the information providing unit determines the priority of information based on the user's current interests and concerns when providing information. The information providing unit uses AI to analyze the user's current interests and concerns and determines the priority of information. For example, the information providing unit preferentially provides information on tourist spots in which the user is currently interested. The information providing unit can also preferentially provide information on restaurants in which the user is interested. Furthermore, the information providing unit can also preferentially provide event information in which the user is paying attention. This provides preferential information according to the user's interests and concerns. A part or all of the above-mentioned processing in the information providing unit may be performed, for example, using AI, or may be performed without using AI. For example, the information providing unit can input the user's current interests and concerns into AI and cause AI to execute the determination of the priority of information.

[0083] The information providing unit can estimate the user's emotion and adjust the level of detail of the information based on the estimated user's emotion. The information providing unit, for example, estimates the user's emotion and adjusts the level of detail of the information based on the estimated user's emotion. The information providing unit estimates the user's emotion using AI and adjusts the level of detail of the information. For example, when the user is nervous, the information providing unit provides concise and to the point information. In addition, when the user is relaxed, the information providing unit can also provide detailed information. Furthermore, when the user is excited, the information providing unit can also provide detailed information reflecting the emotion. This provides information with an appropriate level of detail according to the user's emotion. The emotion estimation is realized using an emotion estimation function using, for example, an emotion engine or a generation AI. The generation AI is, for example, a text generation AI (for example, LLM) or a multimodal generation AI, but is not limited to such examples. A part or all of the above-mentioned processing in the information providing unit may be performed using, for example, an AI, or may be performed without using an AI. For example, the information providing unit can input the user's emotion data to the AI ​​and cause the AI ​​to adjust the level of detail of the information based on the emotion.

[0084] The information providing unit can provide highly relevant information preferentially in consideration of the geographical location information of the user when providing information. For example, the information providing unit provides highly relevant information preferentially in consideration of the geographical location information of the user when providing information. The information providing unit uses AI to analyze the geographical location information of the user and preferentially provides highly relevant information. For example, the information providing unit preferentially provides information on tourist spots related to the location where the user is currently located. The information providing unit can also preferentially provide information on restaurants near the user. Furthermore, the information providing unit can also preferentially provide traffic guidance for the area where the user is staying. As a result, information related to the user's current location is preferentially provided. A part or all of the above-mentioned processing in the information providing unit may be performed, for example, using AI, or may be performed without using AI. For example, the information providing unit can input the geographical location information of the user to AI and cause the AI ​​to provide highly relevant information.

[0085] The information providing unit can analyze the social media activity of the user at the time of providing information and provide related information. For example, the information providing unit can analyze the social media activity of the user at the time of providing information and provide related information. The information providing unit uses AI to analyze the social media activity of the user and provide related information. For example, the information providing unit can preferentially provide information on tourist spots shared by the user on social media. The information providing unit can also preferentially provide information on restaurants mentioned by the user on social media. Furthermore, the information providing unit can also preferentially provide information on events that the user is following on social media. This provides related information based on the social media activity of the user. A part or all of the above-mentioned processing in the information providing unit may be performed, for example, using AI, or may be performed without using AI. For example, the information providing unit can input the social media activity of the user to AI and cause the AI ​​to provide related information.

[0086] The voice guide unit can estimate the user's emotion and adjust the tone and speed of the voice guide based on the estimated user's emotion. The voice guide unit, for example, estimates the user's emotion and adjusts the tone and speed of the voice guide based on the estimated user's emotion. The voice guide unit estimates the user's emotion using AI and adjusts the tone and speed of the voice guide. For example, when the user is nervous, the voice guide unit provides voice guidance at a slow speed with a calm tone. Also, when the user is relaxed, the voice guide unit can provide voice guidance at a normal speed with a bright tone. Furthermore, when the user is excited, the voice guide unit can provide voice guidance at a faster speed with an energetic tone. This provides voice guidance at an appropriate tone and speed according to the user's emotion. The emotion estimation is realized using an emotion estimation function using, for example, an emotion engine or a generation AI. The generation AI is, for example, a text generation AI (for example, LLM) or a multimodal generation AI, but is not limited to such examples. A part or all of the above-mentioned processing in the voice guide unit may be performed using, for example, an AI, or may be performed without using an AI. For example, the audio guidance unit can input the user's emotional data into an AI and have the AI ​​adjust the tone and speed of the audio guidance based on the emotion.

[0087] The voice guide unit can select the optimal guide method by referring to the user's past guide history during voice guidance. For example, the voice guide unit selects the optimal guide method by referring to the user's past guide history during voice guidance. The voice guide unit uses AI to analyze the user's past guide history and selects the optimal guide method. For example, the voice guide unit provides a guide style that the user has used in the past with preference. The voice guide unit can also apply a guide method that the user found easy to understand in the past. Furthermore, the voice guide unit can also use a specific tone or speed with preference from the user's past guide history. This provides an optimal guide based on the user's past guide history. A part or all of the above-mentioned processing in the voice guide unit may be performed, for example, using AI, or may be performed without using AI. For example, the voice guide unit can input the user's past guide history into AI and cause AI to select the optimal guide method.

[0088] The voice guide unit can determine the priority of the guide contents based on the user's current interests and concerns during voice guidance. For example, the voice guide unit determines the priority of the guide contents based on the user's current interests and concerns during voice guidance. The voice guide unit uses AI to analyze the user's current interests and concerns and determines the priority of the guide contents. For example, the voice guide unit preferentially guides information on tourist spots in which the user is currently interested. The voice guide unit can also preferentially guide information on restaurants in which the user is interested. Furthermore, the voice guide unit can also preferentially guide event information in which the user is paying attention. This provides preferential guidance according to the user's interests and concerns. A part or all of the above-mentioned processing in the voice guide unit may be performed, for example, using AI, or may be performed without using AI. For example, the voice guide unit can input the user's current interests and concerns into AI and cause AI to execute the determination of the priority of the guide contents.

[0089] The voice guide unit can estimate the user's emotion and adjust the level of detail of the voice guide based on the estimated user's emotion. The voice guide unit, for example, estimates the user's emotion and adjusts the level of detail of the voice guide based on the estimated user's emotion. The voice guide unit estimates the user's emotion using AI and adjusts the level of detail of the voice guide. For example, when the user is nervous, the voice guide unit provides a concise voice guide that covers the main points. In addition, when the user is relaxed, the voice guide unit can also provide a voice guide including detailed information. Furthermore, when the user is excited, the voice guide unit can also provide a detailed voice guide that reflects the emotion. This provides a voice guide with an appropriate level of detail according to the user's emotion. The emotion estimation is realized using an emotion estimation function using, for example, an emotion engine or a generation AI. The generation AI is, for example, a text generation AI (for example, LLM) or a multimodal generation AI, but is not limited to such examples. A part or all of the above-mentioned processing in the voice guide unit may be performed using, for example, an AI, or may be performed without using an AI. For example, the audio guidance unit can input the user's emotional data into an AI and have the AI ​​adjust the level of detail of the audio guidance based on the emotion.

[0090] The voice guide unit can give priority to highly relevant information during voice guidance, taking into consideration the geographical location information of the user. For example, during voice guidance, the voice guide unit gives priority to highly relevant information during voice guidance, taking into consideration the geographical location information of the user. The voice guide unit uses AI to analyze the geographical location information of the user and gives priority to highly relevant information. For example, the voice guide unit gives priority to information on tourist spots related to the location where the user is currently located. The voice guide unit can also give priority to information on restaurants near the user. Furthermore, the voice guide unit can also give priority to traffic guidance in the area where the user is staying. As a result, information related to the user's current location is given priority. A part or all of the above-mentioned processing in the voice guide unit may be performed, for example, using AI, or may be performed without using AI. For example, the voice guide unit can input the geographical location information of the user to AI and cause AI to perform guidance on highly relevant information.

[0091] The voice guide unit can analyze the user's social media activities and guide the user to related information during voice guidance. The voice guide unit, for example, analyzes the user's social media activities and guides the user to related information during voice guidance. The voice guide unit uses AI to analyze the user's social media activities and guides the user to related information. For example, the voice guide unit preferentially guides the user to information on tourist spots shared by the user on social media. The voice guide unit can also preferentially guide the user to information on restaurants mentioned by the user on social media. Furthermore, the voice guide unit can also preferentially guide the user to event information that the user is following on social media. This guides the user to related information based on the user's social media activities. A part or all of the above-mentioned processing in the voice guide unit may be performed, for example, using AI, or may be performed without using AI. For example, the voice guide unit can input the user's social media activities into AI and cause AI to execute the guide for related information.

[0092] The AR guide unit can estimate the user's emotion and adjust the display method of the AR guidance based on the estimated user's emotion. The AR guide unit, for example, estimates the user's emotion and adjusts the display method of the AR guidance based on the estimated user's emotion. The AR guide unit estimates the user's emotion using AI and adjusts the display method of the AR guidance. For example, the AR guide unit provides a simple and highly visible display method when the user is nervous. In addition, the AR guide unit can also provide a display method including detailed information when the user is relaxed. Furthermore, the AR guide unit can also provide a visually stimulating display method when the user is excited. This provides an appropriate display method according to the user's emotion. The emotion estimation is realized using an emotion estimation function using, for example, an emotion engine or a generation AI. The generation AI is, for example, a text generation AI (for example, LLM) or a multimodal generation AI, but is not limited to such examples. A part or all of the above-mentioned processing in the AR guide unit may be performed using, for example, an AI, or may be performed without using an AI. For example, the AR guidance unit can input the user's emotional data into the AI ​​and have the AI ​​adjust the way the AR guidance is displayed based on the emotion.

[0093] The AR guidance unit can select the optimal guidance method by referring to the user's past guidance history during AR guidance. For example, the AR guidance unit selects the optimal guidance method by referring to the user's past guidance history during AR guidance. The AR guidance unit uses AI to analyze the user's past guidance history and selects the optimal guidance method. For example, the AR guidance unit provides a guidance style that the user has used in the past with preference. The AR guidance unit can also apply a guidance method that the user found easy to understand in the past. Furthermore, the AR guidance unit can also use a specific display method with preference from the user's past guidance history. This provides optimal guidance based on the user's past guidance history. A part or all of the above-mentioned processing in the AR guidance unit may be performed, for example, using AI, or may be performed without using AI. For example, the AR guidance unit can input the user's past guidance history into AI and cause AI to select the optimal guidance method.

[0094] The AR guidance unit can determine the priority of the guidance contents based on the user's current interests and concerns during AR guidance. For example, the AR guidance unit determines the priority of the guidance contents based on the user's current interests and concerns during AR guidance. The AR guidance unit uses AI to analyze the user's current interests and concerns and determines the priority of the guidance contents. For example, the AR guidance unit preferentially guides the user to information on tourist spots in which the user is currently interested. The AR guidance unit can also preferentially guide the user to information on restaurants in which the user is interested. Furthermore, the AR guidance unit can also preferentially guide the user to event information in which the user is paying attention. This provides preferential guidance according to the user's interests and concerns. A part or all of the above-mentioned processing in the AR guidance unit may be performed, for example, using AI, or may be performed without using AI. For example, the AR guidance unit can input the user's current interests and concerns into AI and cause AI to execute the determination of the priority of the guidance contents.

[0095] The AR guidance unit can estimate the user's emotion and adjust the level of detail of the AR guidance based on the estimated user's emotion. The AR guidance unit, for example, estimates the user's emotion and adjusts the level of detail of the AR guidance based on the estimated user's emotion. The AR guidance unit estimates the user's emotion using AI and adjusts the level of detail of the AR guidance. For example, when the user is nervous, the AR guidance unit provides concise and to the point AR guidance. In addition, when the user is relaxed, the AR guidance unit can also provide AR guidance including detailed information. Furthermore, when the user is excited, the AR guidance unit can also provide detailed AR guidance reflecting the emotion. Thereby, AR guidance with an appropriate level of detail according to the user's emotion is provided. The emotion estimation is realized using an emotion estimation function using, for example, an emotion engine or a generation AI. The generation AI is, for example, a text generation AI (for example, LLM) or a multimodal generation AI, but is not limited to such examples. A part or all of the above-mentioned processing in the AR guidance unit may be performed using, for example, an AI, or may be performed without using an AI. For example, the AR guidance unit can input the user's emotional data into the AI ​​and have the AI ​​adjust the level of detail of the AR guidance based on the emotion.

[0096] The AR guidance unit can provide highly relevant information preferentially in consideration of the geographical location information of the user during AR guidance. For example, the AR guidance unit provides highly relevant information preferentially in consideration of the geographical location information of the user during AR guidance. The AR guidance unit uses AI to analyze the geographical location information of the user and provides highly relevant information preferentially. For example, the AR guidance unit provides preferential guidance on information of tourist spots related to the location where the user is currently located. The AR guidance unit can also provide preferential guidance on information of restaurants near the user. Furthermore, the AR guidance unit can also provide preferential guidance on traffic information in the area where the user is staying. As a result, information related to the user's current location is provided preferentially. A part or all of the above-mentioned processing in the AR guidance unit may be performed using, for example, AI, or may be performed without using AI. For example, the AR guidance unit can input the geographical location information of the user to AI and cause AI to perform guidance on highly relevant information.

[0097] The AR guidance unit can analyze the social media activity of the user during AR guidance and guide the user to related information. For example, the AR guidance unit analyzes the social media activity of the user during AR guidance and guides the user to related information. The AR guidance unit uses AI to analyze the social media activity of the user and guides the user to related information. For example, the AR guidance unit preferentially guides the user to information on tourist spots shared by the user on social media. The AR guidance unit can also preferentially guide the user to information on restaurants mentioned by the user on social media. Furthermore, the AR guidance unit can also preferentially guide the user to event information that the user is following on social media. This provides guidance to related information based on the user's social media activity. A part or all of the above-mentioned processing in the AR guidance unit may be performed, for example, using AI, or may be performed without using AI. For example, the AR guidance unit can input the user's social media activity into AI and cause AI to perform guidance of related information.

[0098] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0099] The travel assistance system may further include a health management unit that monitors the user's health condition. The health management unit collects and analyzes data such as the user's heart rate, number of steps, and sleep patterns. For example, if the user has been walking for a long time, the health management unit may send a notification encouraging the user to take a break. Also, if the user has a specific allergy, the health management unit may make suggestions that take the allergy information into consideration when providing restaurant information. Furthermore, the health management unit may monitor the user's stress level and suggest tourist spots and activities that will help the user relax. This allows the user to enjoy traveling while maintaining their health.

[0100] The travel support system may further include a planning unit that creates a customized travel plan based on the user's preferences. The planning unit analyzes the user's past travel history and current interests to propose an optimal travel plan. For example, if the user is interested in historical tourist spots, the planning unit creates a plan centered on historical sites in the area. Also, if the user is interested in gourmet food, the planning unit may propose a plan that includes popular local restaurants. Furthermore, the planning unit may provide flexible plans that match the user's budget and time. This allows the user to enjoy a trip that suits their preferences.

[0101] The travel assistance system may further include a safety management unit for ensuring the safety of the user. The safety management unit monitors the user's current location and surrounding security information in real time, and issues a warning if the user approaches a dangerous area. For example, if the user attempts to enter a dangerous area, the safety management unit sends a warning message. In addition, in an emergency, the safety management unit may provide information on the nearest police station or hospital. Furthermore, the safety management unit may include a function for sharing the user's location information with family and friends. This allows the user to enjoy traveling with peace of mind.

[0102] The travel assistance system may further include a traffic management unit that optimizes the user's means of transportation. The traffic management unit proposes the optimal means of transportation by taking into consideration the user's current location and destination. For example, when the user goes to a tourist spot, the traffic management unit calculates the most efficient route and proposes the use of public transportation timetables or taxis. The traffic management unit may also provide real-time information on traffic congestion and delays to help the user travel smoothly. Furthermore, the traffic management unit may analyze the user's travel history and provide information that will be useful for the user's next trip. This allows the user to travel efficiently and enjoy their trip.

[0103] The travel support system may further include a shopping support unit that improves the user's shopping experience. The shopping support unit suggests optimal shopping spots based on the user's interests and budget. For example, if the user is interested in a particular brand or product, the shopping support unit suggests a shopping route that includes stores and products of that brand. The shopping support unit may also provide nearby sale information and coupons based on the user's current location. Furthermore, the shopping support unit may analyze the user's purchase history and provide information that will be useful for the user's next shopping trip. This allows the user to enjoy shopping efficiently.

[0104] The translation unit can estimate the user's emotion and adjust the tone of the translation based on the estimated user's emotion. For example, if the user is nervous, the translation unit can provide a translation in a calm tone. If the user is relaxed, the translation unit can provide a translation in a casual tone. Furthermore, if the user is excited, the translation unit can provide a translation in an energetic tone. This provides a translation with an appropriate tone according to the user's emotion.

[0105] The information providing unit can estimate the user's emotion and adjust the display format of information based on the estimated user's emotion. For example, when the user is nervous, the information providing unit provides a simple, highly visible display format. When the user is relaxed, the information providing unit can also provide a display format including detailed information. Furthermore, when the user is excited, the information providing unit can also provide a visually stimulating display format. In this way, an appropriate display format according to the user's emotion is provided.

[0106] The voice guide unit can estimate the user's emotions and adjust the contents of the voice guide based on the estimated user's emotions. For example, if the user is nervous, the voice guide unit can provide guidance with calming content. If the user is relaxed, the voice guide unit can also provide guidance with casual content. Furthermore, if the user is excited, the voice guide unit can also provide guidance with energetic content. In this way, voice guide with appropriate content according to the user's emotions is provided.

[0107] The AR guidance unit can estimate the user's emotions and adjust the content of the AR guidance based on the estimated user's emotions. For example, if the user is nervous, the AR guidance unit can provide guidance with calming content. Also, if the user is relaxed, the AR guidance unit can provide guidance with casual content. Furthermore, if the user is excited, the AR guidance unit can provide guidance with energetic content. In this way, AR guidance with appropriate content according to the user's emotions is provided.

[0108] The translation unit can estimate the user's emotions and adjust the level of detail of the translation based on the estimated user's emotions. For example, if the user is nervous, the translation unit can provide a concise, to-the-point translation. If the user is relaxed, the translation unit can provide a translation that includes detailed information. Furthermore, if the user is excited, the translation unit can provide a detailed translation that reflects the user's emotions. This provides a translation with an appropriate level of detail according to the user's emotions.

[0109] The process flow of the second embodiment will be briefly described below.

[0110] Step 1: The translation unit translates information into the user's language. For example, information about tourist spots, restaurants, and transportation is translated into the user's language. The translation unit uses AI to analyze the information and translate it into the user's language. Step 2: The information providing unit provides the information translated by the translation unit to the user. For example, it provides tourist spot and restaurant information to the user. The information providing unit uses AI to analyze the translated information and provides it to the user. Step 3: The audio guide unit provides audio guidance regarding the information provided by the information providing unit. For example, it provides information about tourist spots by audio. The audio guide unit uses AI to analyze the information and provides audio guidance. Step 4: The AR guidance unit uses AR technology to provide real-time guidance along with the audio guide. For example, it displays information about tourist spots on the user's smartphone screen. The AR guidance unit uses AI to analyze information and provides guidance using AR technology.

[0111] 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 a voice indicating a user input for the result of the specific processing. The control unit 46A transmits the voice data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[0112] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search<URL: https: / / openai.com / blog / chatgpt> ) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating a voice, text data indicating a text, and image data indicating an image (e.g., still image data or video data) are input. The data generation model 58 infers the input inference data according to the instruction indicated by the prompt, and outputs the inference result in one or more data formats of voice data, text data, and image data. The data generation model 58 includes, for example, a text generation AI, an image generation AI, and a multimodal generation AI. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specification processing unit 290 performs the above-mentioned specification processing while using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction, and in this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. In the data processing device 12 and the like, the data generation model 58 includes a plurality of types, and the data generation model 58 includes an AI other than the generation AI. The AI ​​other than the generation AI is, for example, a linear regression, a logistic regression, a decision tree, a random forest, a support vector machine (SVM), a k-means clustering, a convolutional neural network (CNN), a recurrent neural network (RNN), a generative adversarial network (GAN), or a naive Bayes, and can perform various processes, but is not limited to such examples. The AI ​​may also be an AI agent. In addition, when the processes of each of the above-mentioned parts are performed by an AI, the processes are performed in part or in whole by the AI, but are not limited to such examples.In addition, processing performed by AI including the generation AI may be replaced with rule-based processing, and rule-based processing may be replaced with processing performed by AI including the generation AI.

[0113] Furthermore, the above-described processing by the data processing system 10 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart device 14, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart device 14. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the smart device 14 or an external device, and the smart device 14 acquires or collects information required for processing from the data processing device 12 or an external device.

[0114] For example, the translation unit is realized by at least one of the smart device 14 and the data processing device 12. For example, the translation unit is realized by the specific processing unit 290 of the data processing device 12, and translates information such as tourist spot information, restaurant information, and traffic information into the user's language. The information providing unit is realized by, for example, the control unit 46A of the smart device 14, and provides the translated information to the user. The audio guide unit is realized by, for example, the control unit 46A of the smart device 14, and provides information on tourist spots by voice. The AR guidance unit is realized by, for example, the control unit 46A of the smart device 14, and displays guidance on tourist spots on the screen of the user's smartphone. The correspondence between each unit and the device or control unit is not limited to the above-mentioned example, and various changes are possible.

[0115] [Second embodiment] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0116] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0117] 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. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN and / or a LAN.

[0118] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0119] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs the voice according to instructions from the processor 46.

[0120] Camera 42 is a small digital camera equipped with an optical system including a lens, an aperture, and a shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the user's surroundings (e.g., an imaging range defined by an angle of view equivalent to the width of the field of vision of an average healthy person).

[0121] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is performed in a secure state.

[0122] Fig. 4 shows an example of main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0123] The processor 28 reads the specific processing program 56 from the storage 32, and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0124] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the emotion of the user using the emotion identification model 59 and perform identification processing using the user's emotion. In the emotion estimation function (emotion identification function) using the emotion identification model 59, various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, are performed, but are not limited to such examples. In addition, the estimation and prediction of the emotion also include, for example, analysis of the emotion.

[0125] In the smart glasses 214, the 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 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. Note that the smart glasses 214 have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can also perform processing similar to that of the specific processing unit 290 using these models.

[0126] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 obtains a processing result (such as a prediction result) using the data generation model 58 by communicating with the server device having the data generation model 58. In addition, the data processing device 12 may be a server device, or may be a terminal device (such as a mobile phone, a robot, or a home appliance) owned by a user.

[0127] 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 a voice indicating a user input for the result of the specific processing. The control unit 46A transmits the voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[0128] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating a voice, text data indicating a text, and image data indicating an image (e.g., still image data or video data) is input. The data generation model 58 infers the input inference data according to the instruction indicated by the prompt, and outputs the inference result in one or more data formats of voice data, text data, and image data. The data generation model 58 includes, for example, a text generation AI, an image generation AI, and a multimodal generation AI. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specification processing unit 290 performs the above-mentioned specification processing while using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction, and in this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. In the data processing device 12 and the like, the data generation model 58 includes a plurality of types, and the data generation model 58 includes an AI other than the generation AI. The AI ​​other than the generation AI is, for example, a linear regression, a logistic regression, a decision tree, a random forest, a support vector machine (SVM), a k-means clustering, a convolutional neural network (CNN), a recurrent neural network (RNN), a generative adversarial network (GAN), or a naive Bayes, and can perform various processes, but is not limited to such examples. The AI ​​may be an AI agent. In addition, when the processes of each part described above are performed by an AI, the processes are performed in part or in whole by the AI, but are not limited to such examples. In addition, the processes performed by the AI ​​including the generation AI may be replaced with rule-based processes, and the rule-based processes may be replaced with processes performed by the AI ​​including the generation AI.

[0129] The data processing system 210 according to the second embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 210 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart glasses 214, but may be executed 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 required for processing from the smart glasses 214 or an external device, and the smart glasses 214 acquires or collects information required for processing from the data processing device 12 or an external device.

[0130] For example, the translation unit is realized by at least one of the smart glasses 214 and the data processing device 12. For example, the translation unit is realized by the specific processing unit 290 of the data processing device 12, and translates information such as tourist spot information, restaurant information, and traffic information into the user's language. The information providing unit is realized by, for example, the control unit 46A of the smart glasses 214, and provides the translated information to the user. The audio guide unit is realized by, for example, the control unit 46A of the smart glasses 214, and provides information on tourist spots by voice. The AR guidance unit is realized by, for example, the control unit 46A of the smart glasses 214, and displays a guide to tourist spots on the screen of the user's smartphone. The correspondence between each unit and the device or control unit is not limited to the above-mentioned example, and various changes are possible.

[0131] [Third embodiment] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0132] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0133] 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. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN and / or a LAN.

[0134] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0135] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs the voice according to instructions from the processor 46.

[0136] Camera 42 is a small digital camera equipped with an optical system including a lens, an aperture, and a shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the user's surroundings (e.g., an imaging range defined by an angle of view equivalent to the width of the field of vision of an average healthy person).

[0137] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is performed in a secure state.

[0138] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0139] The processor 28 reads the specific processing program 56 from the storage 32, and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0140] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the emotion of the user using the emotion identification model 59 and perform identification processing using the user's emotion. In the emotion estimation function (emotion identification function) using the emotion identification model 59, various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, are performed, but are not limited to such examples. In addition, the estimation and prediction of the emotion also include, for example, analysis of the emotion.

[0141] In the headset type terminal 314, the 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 operating as the control unit 46A in accordance with the specific program 60 executed on the RAM 48. Note that the headset type terminal 314 has a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can also perform processing similar to that of the identification processing unit 290 using these models.

[0142] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 obtains a processing result (such as a prediction result) using the data generation model 58 by communicating with the server device having the data generation model 58. In addition, the data processing device 12 may be a server device, or may be a terminal device (such as a mobile phone, a robot, or a home appliance) owned by a user.

[0143] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input for the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[0144] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating a voice, text data indicating a text, and image data indicating an image (e.g., still image data or video data) is input. The data generation model 58 infers the input inference data according to the instruction indicated by the prompt, and outputs the inference result in one or more data formats of voice data, text data, and image data. The data generation model 58 includes, for example, a text generation AI, an image generation AI, and a multimodal generation AI. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specification processing unit 290 performs the above-mentioned specification processing while using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction, and in this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. In the data processing device 12 and the like, the data generation model 58 includes a plurality of types, and the data generation model 58 includes an AI other than the generation AI. The AI ​​other than the generation AI is, for example, a linear regression, a logistic regression, a decision tree, a random forest, a support vector machine (SVM), a k-means clustering, a convolutional neural network (CNN), a recurrent neural network (RNN), a generative adversarial network (GAN), or a naive Bayes, and can perform various processes, but is not limited to such examples. The AI ​​may be an AI agent. In addition, when the processes of each part described above are performed by an AI, the processes are performed in part or in whole by the AI, but are not limited to such examples. In addition, the processes performed by the AI ​​including the generation AI may be replaced with rule-based processes, and the rule-based processes may be replaced with processes performed by the AI ​​including the generation AI.

[0145] The data processing system 310 according to the third embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 310 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the headset type terminal 314, but may be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the headset type terminal 314. In addition, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the headset type terminal 314 or an external device, and the headset type terminal 314 acquires or collects information required for processing from the data processing device 12 or an external device.

[0146] For example, the translation unit is realized by at least one of the headset terminal 314 and the data processing device 12. For example, the translation unit is realized by the specific processing unit 290 of the data processing device 12, and translates information such as tourist spot information, restaurant information, and traffic information into the user's language. The information providing unit is realized by, for example, the control unit 46A of the headset terminal 314, and provides the translated information to the user. The audio guide unit is realized by, for example, the control unit 46A of the headset terminal 314, and provides information on tourist spots by voice. The AR guidance unit is realized by, for example, the control unit 46A of the headset terminal 314, and displays a guide to tourist spots on the screen of the user's smartphone. The correspondence between each unit and the device or control unit is not limited to the above-mentioned example, and various changes are possible.

[0147] [Fourth embodiment] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0148] 7, a data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0149] 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. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN and / or a LAN.

[0150] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[0151] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs the voice according to instructions from the processor 46.

[0152] Camera 42 is a small digital camera equipped with an optical system including a lens, an aperture, and a shutter, and an imaging element such as a CMOS image sensor or a CCD image sensor, and captures images of the user's surroundings (e.g., an imaging range defined by an angle of view equivalent to the width of the field of vision of a typical healthy person).

[0153] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is performed in a secure state.

[0154] The control object 443 includes a display device, LEDs in the eyes, and motors for driving the arms, hands, and legs. The posture and behavior of the robot 414 are controlled by controlling the motors of the arms, hands, and legs. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[0155] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0156] The processor 28 reads the specific processing program 56 from the storage 32, and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0157] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the emotion of the user using the emotion identification model 59 and perform identification processing using the user's emotion. In the emotion estimation function (emotion identification function) using the emotion identification model 59, various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, are performed, but are not limited to such examples. In addition, the estimation and prediction of the emotion also include, for example, analysis of the emotion.

[0158] In the robot 414, the specific processing is performed by the processor 46. The storage 50 stores a specific program 60. The processor 46 reads out the specific program 60 from the storage 50, and executes the specific program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific program 60 executed on the RAM 48. The robot 414 has a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can also perform processing similar to that of the specific processing unit 290 using these models.

[0159] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 obtains a processing result (such as a prediction result) using the data generation model 58 by communicating with the server device having the data generation model 58. In addition, the data processing device 12 may be a server device, or may be a terminal device (such as a mobile phone, a robot, or a home appliance) owned by a user.

[0160] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires a voice indicating a user input for the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[0161] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating a voice, text data indicating a text, and image data indicating an image (e.g., still image data or video data) is input. The data generation model 58 infers the input inference data according to the instruction indicated by the prompt, and outputs the inference result in one or more data formats of voice data, text data, and image data. The data generation model 58 includes, for example, a text generation AI, an image generation AI, and a multimodal generation AI. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specification processing unit 290 performs the above-mentioned specification processing while using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction, and in this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. In the data processing device 12 and the like, the data generation model 58 includes a plurality of types, and the data generation model 58 includes an AI other than the generation AI. The AI ​​other than the generation AI is, for example, a linear regression, a logistic regression, a decision tree, a random forest, a support vector machine (SVM), a k-means clustering, a convolutional neural network (CNN), a recurrent neural network (RNN), a generative adversarial network (GAN), or a naive Bayes, and can perform various processes, but is not limited to such examples. The AI ​​may be an AI agent. In addition, when the processes of each part described above are performed by an AI, the processes are performed in part or in whole by the AI, but are not limited to such examples. In addition, the processes performed by the AI ​​including the generation AI may be replaced with rule-based processes, and the rule-based processes may be replaced with processes performed by the AI ​​including the generation AI.

[0162] The data processing system 410 according to the fourth embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 410 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the robot 414, but may be executed 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 required for processing from the robot 414 or an external device, etc., and the robot 414 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0163] For example, the translation unit is realized by at least one of the robot 414 and the data processing device 12. For example, the translation unit is realized by the specific processing unit 290 of the data processing device 12, and translates information such as tourist spot information, restaurant information, and traffic information into the user's language. The information providing unit is realized by, for example, the control unit 46A of the robot 414, and provides the translated information to the user. The audio guide unit is realized by, for example, the control unit 46A of the robot 414, and provides information on tourist spots by voice. The AR guidance unit is realized by, for example, the control unit 46A of the robot 414, and displays a guide to tourist spots on the screen of the user's smartphone. The correspondence between each unit and the device or control unit is not limited to the above-mentioned example, and various changes are possible.

[0164] The emotion identification model 59 as an emotion engine may determine the emotion of the user according to a specific mapping. Specifically, the emotion identification model 59 may determine the emotion of the user according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the emotion of the robot, and the identification processing unit 290 may perform identification processing using the emotion of the robot.

[0165] FIG. 9 is a diagram showing an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive emotions are arranged. The more outside the concentric circles, the more emotions that represent states and actions that arise from a state of mind are arranged. Emotions are a concept that includes emotions and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions that occur in the brain are arranged. On the right side of the concentric circles, emotions that are generally induced by situational judgment are arranged. On the upper and lower sides of the concentric circles, emotions that are generally generated from reactions that occur in the brain and are induced by situational judgment are arranged. In addition, on the upper side of the concentric circles, emotions of "pleasure" are arranged, and on the lower side, emotions of "discomfort" are arranged. In this way, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[0166] These emotions are distributed in the 3 o'clock direction of emotion map 400 and usually fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[0167] The inside of emotion map 400 represents what is going on inside one's mind, and the outside of emotion map 400 represents behavior, so the further out you go on emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[0168] Here, human emotions are based on various balances such as posture and blood sugar level, and when these balances are far from the ideal, it indicates an unpleasant state, and when they are close to the ideal, it indicates a pleasant state. Emotions can also be created for robots, cars, motorcycles, etc., based on various balances such as posture and battery level, so that when these balances are far from the ideal, it indicates an unpleasant state, and when they are close to the ideal, it indicates a pleasant state. The emotion map may be generated, for example, based on the emotion map of Dr. Mitsuyoshi (Research on speech emotion recognition and emotion brain physiological signal analysis system, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). On the left half of the emotion map, emotions belonging to an area called "reaction" where sensation is dominant are lined up. On the right half of the emotion map, emotions belonging to an area called "situation" where situation recognition is dominant are lined up.

[0169] The emotion map defines two emotions that promote learning. The first is the negative emotion around the middle of "repentance" or "remorse" on the situation side. In other words, this 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 positive emotion around "desire" on the response side. In other words, this is when the robot has positive feelings such as "I want more" or "I want to know more."

[0170] The emotion identification model 59 inputs the user input to a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the emotion of the user. This neural network is pre-trained based on multiple learning data that are combinations of the user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in Fig. 10. Fig. 10 shows an example in which multiple emotions, "relief," "calm," and "encouraging," have similar emotion values.

[0171] In the above embodiment, an example was given in which a specific process is performed by one computer 22, but the technology disclosed herein is not limited to this, and distributed processing of the specific process may be performed by multiple computers, including computer 22.

[0172] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable computer-readable non-transitory storage medium such as a Universal Serial Bus (USB) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[0173] In addition, 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 upon request from the data processing device 12.

[0174] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[0175] As the hardware resource for executing the specific process, various processors as shown below can be used. An example of the processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing the specific process by executing software, i.e., a program. Another example of the processor is a dedicated electric circuit, which is a processor having a circuit configuration designed exclusively for executing a specific process, such as a Field-Programmable Gate Array (FPGA), a Programmable Logic Device (PLD), or an Application Specific Integrated Circuit (ASIC). Each processor has a built-in or connected memory, and each processor executes the specific process by using the memory.

[0176] The hardware resource that executes the specific process may be one of these various processors, or may be a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific process may be a single processor.

[0177] As an example of a configuration using one processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a configuration using a processor that realizes the functions of the entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[0178] Furthermore, more specifically, the hardware structure of these various processors can be an electric circuit that combines circuit elements such as semiconductor elements. The specific processes described above are merely examples. It goes without saying that unnecessary steps may be deleted, new steps may be added, or the order of processes may be changed without departing from the spirit of the invention.

[0179] In the above example, the first to fourth embodiments are described separately, but some or all of these embodiments may be combined. The smart device 14, the smart glasses 214, the headset terminal 314, and the robot 414 are only examples, and they may be combined with each other, or may be other devices. In the above example, the first and second embodiments are described separately, but they may be combined.

[0180] The above description and illustrations are detailed descriptions of the parts related to the technology of the present disclosure, and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, function, action, and effect is an example of the configuration, function, action, and effect of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replaced with respect to the description and illustrations shown above, within the scope of the gist of the technology of the present disclosure. In addition, in order to avoid confusion and to facilitate understanding of the parts related to the technology of the present disclosure, the description and illustrations shown above omit explanations of technical common sense that do not require particular explanation in enabling the implementation of the technology of the present disclosure.

[0181] All publications, patent applications, and standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, and standard was specifically and individually indicated to be incorporated by reference.

[0182] (Appendix 1) a translation unit that translates information into a user's language; an information providing unit that provides tourist spot or restaurant information as the information translated by the translation unit; a voice guidance unit that provides voice guidance regarding the information provided by the information providing unit; and an AR guidance unit that provides real-time guidance using AR technology together with the voice guide. A system characterized by: (Appendix 2) The translation unit is Translate tourist spot, restaurant information, and transportation information into the user's language 2. The system of claim 1, (Appendix 3) The information providing unit is Providing translated information to users 2. The system of claim 1, (Appendix 4) The voice guide unit Providing audio information about tourist spots 2. The system of claim 1, (Appendix 5) The AR guide unit is Displaying tourist spot information on the user's smartphone screen 2. The system of claim 1, (Appendix 6) The AR guide unit is Displays photos and descriptions of dishes on the user's smartphone screen 2. The system of claim 1, (Appendix 7) The translation unit is Estimate the user's emotions and adjust the translation expression based on the estimated user emotions. 2. The system of claim 1, (Appendix 8) The translation unit is When translating, the system selects the appropriate translation method by referring to the user's past translation history. 2. The system of claim 1, (Appendix 9) The translation unit is During translation, prioritize translations based on the user's current interests and concerns 2. The system of claim 1, (Appendix 10) The translation unit is Estimate user sentiment and adjust translation detail based on the estimated user sentiment 2. The system of claim 1, (Appendix 11) The translation unit is When translating, it takes into account the user's geographic location and prioritizes the translation of the most relevant information. 2. The system of claim 1, (Appendix 12) The translation unit is Analyze users' social media activity and translate relevant information during translation 2. The system of claim 1, (Appendix 13) The information providing unit is Inferring user emotions and adjusting the way information is displayed based on the estimated user emotions 2. The system of claim 1, (Appendix 14) The information providing unit is When providing information, the most appropriate information is selected by referring to the user's past browsing history. 2. The system of claim 1, (Appendix 15) The information providing unit is Prioritize information as it is presented based on the user's current interests 2. The system of claim 1, (Appendix 16) The information providing unit is Inferring a user's emotions and adjusting the level of detail of information based on the estimated user's emotions 2. The system of claim 1, (Appendix 17) The information providing unit is When providing information, the system takes into account the user's geographic location information and prioritizes providing information that is highly relevant 2. The system of claim 1, (Appendix 18) The information providing unit is When you provide information, analyze your social media activity and provide you with relevant information 2. The system of claim 1, (Appendix 19) The voice guide unit Estimate the user's emotions and adjust the tone and speed of the audio guide based on the estimated user's emotions. 2. The system of claim 1, (Appendix 20) The voice guide unit When providing voice guidance, the system selects the optimal guidance method by referring to the user's past guidance history. 2. The system of claim 1, (Appendix 21) The voice guide unit When providing audio guidance, prioritize guidance content based on the user's current interests and concerns 2. The system of claim 1, (Appendix 22) The voice guide unit Estimating a user's emotion and adjusting the level of detail of the audio guide based on the estimated user's emotion 2. The system of claim 1, (Appendix 23) The voice guide unit When providing voice guidance, the system takes into account the user's geographic location information and prioritizes information that is highly relevant to the user. 2. The system of claim 1, (Appendix 24) The voice guide unit When voice guidance is provided, the system analyzes the user's social media activity and provides relevant information 2. The system of claim 1, (Appendix 25) The AR guide unit is Estimate the user's emotions and adjust the way the AR guidance is displayed based on the estimated user's emotions. 2. The system of claim 1, (Appendix 26) The AR guide unit is When providing AR guidance, the system selects the optimal guidance method by referring to the user's past guidance history. 2. The system of claim 1, (Appendix 27) The AR guide unit is When providing AR guidance, the priority of guidance content is determined based on the user's current interests and concerns. 2. The system of claim 1, (Appendix 28) The AR guide unit is Estimate the user's emotions and adjust the level of detail of the AR guidance based on the estimated user's emotions. 2. The system of claim 1, (Appendix 29) The AR guide unit is When providing AR guidance, the system takes into account the user's geographic location information and prioritizes relevant information. 2. The system of claim 1, (Appendix 30) The AR guide unit is When AR guidance is provided, the system analyzes the user's social media activity and provides relevant information 2. The system of claim 1, [Explanation of symbols]

[0183] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot

Claims

1. a translation unit that translates information into a user's language; an information providing unit that provides tourist spot or restaurant information as the information translated by the translation unit; a voice guidance unit that provides voice guidance regarding the information provided by the information providing unit; and an AR guidance unit that provides real-time guidance using AR technology together with the voice guide. A system characterized by:

2. The translation unit is Translate tourist spot, restaurant information, and transportation information into the user's language 2. The system of claim 1 .

3. The information providing unit is Providing the user with the information translated by the translation unit 2. The system of claim 1 .

4. The AR guide unit is Displaying tourist spot information on the user's smartphone screen 2. The system of claim 1 .

5. The AR guide unit is Displays photos and descriptions of dishes on the user's smartphone screen 2. The system of claim 1 .

6. The translation unit is Estimate the user's emotions and adjust the translation expression based on the estimated user emotions.

2. The system of claim 1 .

7. The translation unit is When translating, the system selects the appropriate translation method by referring to the user's past translation history.

2. The system of claim 1 .

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