System

Abstract

An object of a system according to an embodiment is to quickly provide appropriate information when a tourist is in trouble.SOLUTION: A system includes a voice recognition unit, a natural language processing unit, and an information providing unit. The voice recognition unit recognizes a question of a tourist. The natural language processing unit analyzes the question recognized by the voice recognition unit. The information providing unit provides appropriate information on the basis of the question analyzed by the natural language processing unit.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

[0003] [Patent Document 1] Japanese Patent Publication No. 2022-180282 Summary of the Invention [Problem to be solved by the invention]

[0004] Conventional technology has had the problem of making it difficult to quickly provide tourists with appropriate information when they are in trouble.

[0005] The system according to the embodiment aims to quickly provide appropriate information to tourists when they are in trouble. [Means for solving the problem]

[0006] The system according to the embodiment includes a speech recognition unit, a natural language processing unit, and an information providing unit. The speech recognition unit recognizes questions posed by tourists. The natural language processing unit analyzes the questions recognized by the speech recognition unit. The information providing unit provides appropriate information based on the questions analyzed by the natural language processing unit. [Effects of the Invention]

[0007] The system according to the embodiment can quickly provide appropriate information to tourists when they are in trouble. [Brief explanation of the drawings]

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

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

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

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

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

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

[0014] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), and Bluetooth (registered trademark).

[0015] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

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

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

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

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

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

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

[0022] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

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

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

[0025] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

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

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

[0028] (Example 1) The guidance system according to an embodiment of the present invention provides guidance to tourists through voice and screen when they are in trouble. When a tourist approaches an AI bulletin board, the system uses voice recognition technology to understand the tourist's question or problem and provides appropriate information. This allows the guidance system to respond quickly and appropriately when tourists are in trouble.

[0029] A guidance system according to an embodiment includes a speech recognition unit, a natural language processing unit, and an information providing unit. The speech recognition unit recognizes questions from tourists. For example, when a tourist asks, "Are there any good restaurants nearby?", the speech recognition unit recognizes the question. The speech recognition unit can also recognize when a tourist asks, "Please tell me how to get to the station." The speech recognition unit can also recognize when a tourist asks, "I lost my passport. What should I do?" The natural language processing unit analyzes the questions recognized by the speech recognition unit. For example, the natural language processing unit analyzes the tourist's question and understands its content. The natural language processing unit can also analyze the tourist's question and generate an appropriate answer. The natural language processing unit can also analyze the tourist's question and search for related information. The information providing unit provides appropriate information based on the question analyzed by the natural language processing unit. For example, in response to the tourist's question, the information providing unit provides information about nearby restaurants. In response to the tourist's question, the information providing unit can also provide guidance on how to get to the station. The information providing unit can also provide information on the nearest police station or embassy in response to a tourist's question. This allows the guidance system according to the embodiment to provide appropriate information in response to a tourist's question. For example, a prompt and appropriate response can be provided when a tourist is in trouble. Furthermore, tourists can obtain information without having to worry about language barriers. Furthermore, tourists can easily obtain information on tourist spots and restaurants. Furthermore, a prompt response can be provided in the event of an emergency.

[0030] The speech recognition unit can recognize questions from tourists in multiple languages. The natural language processing unit can analyze questions in multiple languages. The information provision unit can provide appropriate information in multiple languages. For example, when a tourist asks a question in English, the speech recognition unit recognizes the question. The speech recognition unit can also recognize questions when a tourist asks a question in Chinese. The speech recognition unit can also recognize questions when a tourist asks a question in Korean. For example, the natural language processing unit analyzes a tourist's English question and understands its content. The natural language processing unit can also analyze a tourist's Chinese question and generate an appropriate answer. The natural language processing unit can also analyze a tourist's Korean question and search for related information. For example, in response to a tourist's English question, the information provision unit can provide information about nearby restaurants in English. In response to a tourist's Chinese question, the information provision unit can provide directions to the station in Chinese. In response to a tourist's Korean question, the information provision unit can provide information about the nearest police station or embassy in Korean. This allows us to respond to tourists' questions in multiple languages, for example, allowing tourists to ask questions in their own language, and providing information across language barriers.

[0031] The information providing unit can provide tourist spot or event information, and traffic information. For example, in response to a tourist question, the information providing unit can provide information on nearby tourist spots. The information providing unit can also provide information on nearby events in response to a tourist question. The information providing unit can also provide traffic information in response to a tourist question. This makes it possible to provide tourist spot, event, and traffic information. For example, tourists can easily obtain tourist spot, event, and traffic information.

[0032] The information providing unit can provide a map and route guidance. For example, the information providing unit can provide a map in response to a tourist's question. The information providing unit can also provide route guidance in response to a tourist's question. This makes it possible to provide a map and route guidance. For example, it can help tourists reach their destinations smoothly.

[0033] The information providing unit can provide emergency response information. For example, in response to a tourist's question, the information providing unit can provide information on the nearest police station or embassy. In addition, in response to a tourist's question, the information providing unit can also provide emergency contact information and response methods. This makes it possible to provide emergency response information. For example, it is possible to provide quick support when a tourist is in trouble.

[0034] The information providing unit can record the tourist's past question history and provide personalized guidance according to the individual needs. For example, the information providing unit records the questions that the tourist has asked on the AI ​​bulletin board in a database and provides personalized guidance based on that history the next time the tourist visits. For example, it can provide information about new restaurants to a tourist who has previously asked about restaurants. The information providing unit can also analyze the tourist's past question history and provide guidance according to the individual needs. This makes it possible to provide guidance according to the individual needs of the tourist. For example, tourists can obtain information based on their interests and preferences.

[0035] The information providing unit can analyze the pronunciation and accent of the tourist and generate a response with more natural pronunciation. The information providing unit, for example, analyzes the pronunciation and accent of the tourist and generates a response with more natural pronunciation. For example, when a tourist asks a question in English, the information providing unit can generate a response with pronunciation like a native speaker. The information providing unit can also analyze the pronunciation and accent of the tourist and generate a response according to the accent of each region. This makes it possible to provide a response with natural pronunciation according to the tourist's pronunciation and accent. For example, a response that is easier for the tourist to understand can be obtained.

[0036] The information providing unit can provide guidance that takes into consideration the cultural background and customs of tourists. The information providing unit, for example, provides guidance that takes into consideration the cultural background and customs of tourists. For example, for Japanese tourists, guidance based on Japanese culture and customs is provided. The information providing unit can also provide appropriate information by taking into consideration the cultural background and customs of tourists. This makes it possible to provide guidance that is in line with the cultural background and customs of tourists. For example, tourists can obtain information based on their own culture and customs.

[0037] The information providing unit can translate documents and menus brought by tourists on the spot. For example, the information providing unit takes a photo of a document or menu brought by a tourist with a camera and translates it on the spot. For example, when a tourist takes a photo of a restaurant menu, the translation result is displayed on the spot. The information providing unit can also analyze documents and menus brought by tourists and provide an appropriate translation. This makes it possible to translate documents and menus brought by tourists on the spot. For example, tourists can obtain information without having to worry about language barriers.

[0038] The information providing unit can learn the interests and preferences of tourists and propose individually customized sightseeing plans. For example, the information providing unit can learn the interests and preferences of tourists and propose individually customized sightseeing plans. For example, if a tourist is interested in historical places, the information providing unit can propose related tourist spots. The information providing unit can also learn the preferences of tourists and propose appropriate sightseeing plans. This makes it possible to propose sightseeing plans customized according to the interests and preferences of tourists. For example, tourists can obtain sightseeing plans based on their own interests and preferences.

[0039] The information providing unit can enable tourists to share the spots they have visited on SNS. The information providing unit, for example, enables tourists to share the spots they have visited on SNS. For example, when a tourist says, "I want to share this spot," it can be posted on SNS. The information providing unit can also automatically share the spots that tourists have visited on SNS. This makes it possible for tourists to share the spots that they have visited on SNS. For example, tourists can share the spots that they have visited with their friends and family.

[0040] The information providing unit can cooperate with local guides and volunteers to provide detailed information. The information providing unit, for example, cooperates with local guides and volunteers to provide detailed information to tourists. For example, when a tourist says, "I'd like to know more about this spot," the information provided by the local guide is displayed. The information providing unit can also cooperate with local volunteers to provide detailed information to tourists. This allows the information providing unit to cooperate with local guides and volunteers to provide detailed information. For example, tourists can gain deeper knowledge.

[0041] The information providing unit can propose an optimal route taking into consideration the tourist's travel speed and physical strength. The information providing unit proposes an optimal route taking into consideration the tourist's travel speed and physical strength, for example. For example, if a tourist says, "I want to walk slowly," the information providing unit proposes a route that suits the tourist's travel speed. The information providing unit can also propose an appropriate route taking into consideration the tourist's physical strength. This makes it possible to propose an optimal route that suits the tourist's travel speed and physical strength. For example, tourists can enjoy sightseeing at their own pace.

[0042] The information providing unit transmits a map and route guidance to the tourist's smartphone, allowing navigation to continue even while traveling. The information providing unit, for example, transmits a map and route guidance to the tourist's smartphone, allowing navigation to continue even while traveling. For example, when a tourist says, "Please tell me how to get to the station," the information providing unit transmits a map and route guidance to the smartphone. The information providing unit can also transmit navigation information to the tourist's smartphone, allowing appropriate guidance to be provided even while traveling. This allows maps and route guidance to be transmitted to the tourist's smartphone, allowing navigation to continue even while traveling. For example, it can help tourists reach their destination smoothly.

[0043] The information providing unit can send emergency response information to the tourist's smartphone, allowing the tourist to check how to respond even while traveling. The information providing unit, for example, sends emergency response information to the tourist's smartphone, allowing the tourist to check how to respond even while traveling. For example, when a tourist says, "I lost my passport," the information providing unit sends the response information to the smartphone. The information providing unit can also send emergency contact information and how to respond to the tourist's smartphone, allowing the tourist to take appropriate action even while traveling. This allows emergency response information to be sent to the tourist's smartphone, allowing the tourist to check how to respond even while traveling. For example, it is possible to respond quickly when a tourist is in trouble.

[0044] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0045] The guidance system can monitor tourists' health and provide appropriate advice. For example, if a tourist has been walking for a long time, it can advise them to take a break. If a tourist is in a hot environment, it can provide a message encouraging them to stay hydrated. Furthermore, if a tourist is at high altitude, it can provide guidance on how to prevent altitude sickness. This helps protect the health of tourists and support a comfortable trip.

[0046] The guidance system can provide information on local specialties and souvenirs based on tourists' interests and preferences. For example, if a tourist is interested in food, it can introduce local specialties and popular restaurants. If a tourist is interested in crafts, it can provide information on local craft stores and markets. Furthermore, if a tourist is interested in fashion, it can guide them to local boutiques and shopping areas. This allows tourists to enjoy local culture and specialties.

[0047] The guidance system can suggest the optimal route depending on the tourist's mode of transportation. For example, if the tourist is using a bicycle, it will guide them to a route specifically for bicycles. If the tourist is using public transportation, it can also provide information on the nearest bus stop or station. Furthermore, if the tourist is traveling on foot, it can suggest a pedestrian-friendly route. This allows tourists to choose the route that is best suited to their mode of transportation.

[0048] The information system can provide tourists with special offers and discounts for their next visit based on their past visit history. For example, it can provide discount coupons for restaurants that tourists have visited in the past. It can also provide information on special offers for tourists who have previously visited an event. It can also provide information on special offers at souvenir shops where tourists have previously made purchases. This allows tourists to receive special offers and discounts when they visit again, increasing their satisfaction as repeat customers.

[0049] The guidance system can provide information about nearby tourist spots and events based on the tourist's real-time location information. For example, if a tourist is in a specific area, the system will guide them to the tourist spots in that area. It can also provide tourists with information about events being held nearby. It can also provide information about nearby restaurants and cafes while tourists are on the move. This allows tourists to obtain information about their surroundings in real time and enjoy sightseeing efficiently.

[0050] The processing flow of the first embodiment will be briefly explained below.

[0051] Step 1: The speech recognition unit recognizes the tourist's question. For example, if a tourist asks, "Are there any good restaurants nearby?", the system will recognize that question. It can also recognize the tourist's question, "Please tell me how to get to the station." It can also recognize the tourist's question, "I lost my passport. What should I do?" Step 2: The natural language processing unit analyzes the question recognized by the speech recognition unit. For example, it analyzes a tourist's question and understands its content. It can also generate an appropriate answer and search for related information. Step 3: The information provider provides appropriate information based on the question analyzed by the natural language processor. For example, in response to a tourist's question, it can provide information about nearby restaurants. It can also provide directions to the station. It can also provide information about the nearest police station or embassy.

[0052] (Example 2) The guidance system according to an embodiment of the present invention provides guidance to tourists through voice and screen when they are in trouble. When a tourist approaches an AI bulletin board, the system uses voice recognition technology to understand the tourist's question or problem and provides appropriate information. This allows the guidance system to respond quickly and appropriately when tourists are in trouble.

[0053] A guidance system according to an embodiment includes a speech recognition unit, a natural language processing unit, and an information providing unit. The speech recognition unit recognizes questions from tourists. For example, when a tourist asks, "Are there any good restaurants nearby?", the speech recognition unit recognizes the question. The speech recognition unit can also recognize when a tourist asks, "Please tell me how to get to the station." The speech recognition unit can also recognize when a tourist asks, "I lost my passport. What should I do?" The natural language processing unit analyzes the questions recognized by the speech recognition unit. For example, the natural language processing unit analyzes the tourist's question and understands its content. The natural language processing unit can also analyze the tourist's question and generate an appropriate answer. The natural language processing unit can also analyze the tourist's question and search for related information. The information providing unit provides appropriate information based on the question analyzed by the natural language processing unit. For example, in response to the tourist's question, the information providing unit provides information about nearby restaurants. In response to the tourist's question, the information providing unit can also provide guidance on how to get to the station. The information providing unit can also provide information on the nearest police station or embassy in response to a tourist's question. This allows the guidance system according to the embodiment to provide appropriate information in response to a tourist's question. For example, a prompt and appropriate response can be provided when a tourist is in trouble. Furthermore, tourists can obtain information without having to worry about language barriers. Furthermore, tourists can easily obtain information on tourist spots and restaurants. Furthermore, a prompt response can be provided in the event of an emergency.

[0054] The speech recognition unit can recognize questions from tourists in multiple languages. The natural language processing unit can analyze questions in multiple languages. The information provision unit can provide appropriate information in multiple languages. For example, when a tourist asks a question in English, the speech recognition unit recognizes the question. The speech recognition unit can also recognize questions when a tourist asks a question in Chinese. The speech recognition unit can also recognize questions when a tourist asks a question in Korean. For example, the natural language processing unit analyzes a tourist's English question and understands its content. The natural language processing unit can also analyze a tourist's Chinese question and generate an appropriate answer. The natural language processing unit can also analyze a tourist's Korean question and search for related information. For example, in response to a tourist's English question, the information provision unit can provide information about nearby restaurants in English. In response to a tourist's Chinese question, the information provision unit can provide directions to the station in Chinese. In response to a tourist's Korean question, the information provision unit can provide information about the nearest police station or embassy in Korean. This allows us to respond to tourists' questions in multiple languages, for example, allowing tourists to ask questions in their own language, and providing information across language barriers.

[0055] The information providing unit can provide tourist spot or event information, and traffic information. For example, in response to a tourist question, the information providing unit can provide information on nearby tourist spots. The information providing unit can also provide information on nearby events in response to a tourist question. The information providing unit can also provide traffic information in response to a tourist question. This makes it possible to provide tourist spot, event, and traffic information. For example, tourists can easily obtain tourist spot, event, and traffic information.

[0056] The information providing unit can provide a map and route guidance. For example, the information providing unit can provide a map in response to a tourist's question. The information providing unit can also provide route guidance in response to a tourist's question. This makes it possible to provide a map and route guidance. For example, it can help tourists reach their destinations smoothly.

[0057] The information providing unit can provide emergency response information. For example, in response to a tourist's question, the information providing unit can provide information on the nearest police station or embassy. In addition, in response to a tourist's question, the information providing unit can also provide emergency contact information and response methods. This makes it possible to provide emergency response information. For example, it is possible to provide quick support when a tourist is in trouble.

[0058] The information providing unit can analyze the facial expressions of tourists and provide guidance according to their emotions. For example, the information providing unit captures the facial expressions of tourists with a camera and analyzes their emotions using an emotion estimation algorithm. For example, it calculates an emotion score based on changes in facial expressions. The information providing unit can also analyze the facial expressions of tourists and provide guidance according to their emotions. This makes it possible to provide guidance according to the emotions of tourists. For example, tourists can receive guidance in a relaxed atmosphere.

[0059] The information providing unit can record the tourist's past question history and provide personalized guidance according to the individual needs. For example, the information providing unit records the questions that the tourist has asked on the AI ​​bulletin board in a database and provides personalized guidance based on that history the next time the tourist visits. For example, it can provide information about new restaurants to a tourist who has previously asked about restaurants. The information providing unit can also analyze the tourist's past question history and provide guidance according to the individual needs. This makes it possible to provide guidance according to the individual needs of the tourist. For example, tourists can obtain information based on their interests and preferences.

[0060] The information providing unit can estimate the tourist's emotions and provide music or images for relaxation. The information providing unit can, for example, estimate the tourist's emotions and provide music for relaxation. For example, relaxing music or classical music can be provided. The information providing unit can also estimate the tourist's emotions and provide images for relaxation. For example, images of natural scenery or images of tourist spots can be provided. In this way, music or images for relaxation can be provided according to the tourist's emotions. For example, tourists can obtain information in a relaxed state.

[0061] The information providing unit can analyze the pronunciation and accent of the tourist and generate a response with more natural pronunciation. The information providing unit, for example, analyzes the pronunciation and accent of the tourist and generates a response with more natural pronunciation. For example, when a tourist asks a question in English, the information providing unit can generate a response with pronunciation like a native speaker. The information providing unit can also analyze the pronunciation and accent of the tourist and generate a response according to the accent of each region. This makes it possible to provide a response with natural pronunciation according to the tourist's pronunciation and accent. For example, a response that is easier for the tourist to understand can be obtained.

[0062] The information providing unit can provide guidance that takes into consideration the cultural background and customs of tourists. The information providing unit, for example, provides guidance that takes into consideration the cultural background and customs of tourists. For example, for Japanese tourists, guidance based on Japanese culture and customs is provided. The information providing unit can also provide appropriate information by taking into consideration the cultural background and customs of tourists. This makes it possible to provide guidance that is in line with the cultural background and customs of tourists. For example, tourists can obtain information based on their own culture and customs.

[0063] The information providing unit can translate documents and menus brought by tourists on the spot. For example, the information providing unit takes a photo of a document or menu brought by a tourist with a camera and translates it on the spot. For example, when a tourist takes a photo of a restaurant menu, the translation result is displayed on the spot. The information providing unit can also analyze documents and menus brought by tourists and provide an appropriate translation. This makes it possible to translate documents and menus brought by tourists on the spot. For example, tourists can obtain information without having to worry about language barriers.

[0064] The information providing unit can provide answers to questions from tourists using relaxed language. The information providing unit, for example, provides answers to questions from tourists using relaxed language. For example, if a tourist is nervous, the information providing unit provides answers using relaxed language. The information providing unit can also provide answers to questions from tourists using friendly language. This makes it possible to provide answers to questions from tourists using relaxed language. For example, a tourist can obtain information in a relaxed state.

[0065] The information providing unit can learn the interests and preferences of tourists and propose individually customized sightseeing plans. For example, the information providing unit can learn the interests and preferences of tourists and propose individually customized sightseeing plans. For example, if a tourist is interested in historical places, the information providing unit can propose related tourist spots. The information providing unit can also learn the preferences of tourists and propose appropriate sightseeing plans. This makes it possible to propose sightseeing plans customized according to the interests and preferences of tourists. For example, tourists can obtain sightseeing plans based on their own interests and preferences.

[0066] The information providing unit can prioritize showing tourists the spots with the highest satisfaction based on the emotional data of tourists. The information providing unit, for example, prioritizes showing tourists the spots with the highest satisfaction based on the emotional data of tourists. For example, it collects emotional data of past visitors and suggests spots with high satisfaction. The information providing unit can also analyze the emotional data of tourists and recommend appropriate spots. This makes it possible to guide tourists to spots with high satisfaction based on the emotional data of tourists. For example, tourists can visit spots with high satisfaction on a priority basis.

[0067] The information providing unit can enable tourists to share the spots they have visited on SNS. The information providing unit, for example, enables tourists to share the spots they have visited on SNS. For example, when a tourist says, "I want to share this spot," it can be posted on SNS. The information providing unit can also automatically share the spots that tourists have visited on SNS. This makes it possible for tourists to share the spots that they have visited on SNS. For example, tourists can share the spots that they have visited with their friends and family.

[0068] The information providing unit can cooperate with local guides and volunteers to provide detailed information. The information providing unit, for example, cooperates with local guides and volunteers to provide detailed information to tourists. For example, when a tourist says, "I'd like to know more about this spot," the information provided by the local guide is displayed. The information providing unit can also cooperate with local volunteers to provide detailed information to tourists. This allows the information providing unit to cooperate with local guides and volunteers to provide detailed information. For example, tourists can gain deeper knowledge.

[0069] The information providing unit can prioritize displaying information that attracts the interest of tourists. The information providing unit, for example, prioritizes displaying information that attracts the interest of tourists. For example, it prioritizes suggesting spots and events that tourists have shown interest in. The information providing unit can also analyze the interests of tourists and prioritize displaying appropriate information. This makes it possible to prioritize displaying information that attracts the interest of tourists. For example, tourists can obtain information based on their own interests.

[0070] The information providing unit can propose an optimal route taking into consideration the tourist's travel speed and physical strength. The information providing unit proposes an optimal route taking into consideration the tourist's travel speed and physical strength, for example. For example, if a tourist says, "I want to walk slowly," the information providing unit proposes a route that suits the tourist's travel speed. The information providing unit can also propose an appropriate route taking into consideration the tourist's physical strength. This makes it possible to propose an optimal route that suits the tourist's travel speed and physical strength. For example, tourists can enjoy sightseeing at their own pace.

[0071] The information providing unit transmits a map and route guidance to the tourist's smartphone, allowing navigation to continue even while traveling. The information providing unit, for example, transmits a map and route guidance to the tourist's smartphone, allowing navigation to continue even while traveling. For example, when a tourist says, "Please tell me how to get to the station," the information providing unit transmits a map and route guidance to the smartphone. The information providing unit can also transmit navigation information to the tourist's smartphone, allowing appropriate guidance to be provided even while traveling. This allows maps and route guidance to be transmitted to the tourist's smartphone, allowing navigation to continue even while traveling. For example, it can help tourists reach their destination smoothly.

[0072] The information providing unit can send emergency response information to the tourist's smartphone, allowing the tourist to check how to respond even while traveling. The information providing unit, for example, sends emergency response information to the tourist's smartphone, allowing the tourist to check how to respond even while traveling. For example, when a tourist says, "I lost my passport," the information providing unit sends the response information to the smartphone. The information providing unit can also send emergency contact information and how to respond to the tourist's smartphone, allowing the tourist to take appropriate action even while traveling. This allows emergency response information to be sent to the tourist's smartphone, allowing the tourist to check how to respond even while traveling. For example, it is possible to respond quickly when a tourist is in trouble.

[0073] The information provision unit can estimate the emotions of tourists and provide a message that gives a sense of security in the event of an emergency. The information provision unit, for example, estimates the emotions of tourists and provides a message that gives a sense of security in the event of an emergency. For example, if a tourist is feeling anxious, a message that gives a sense of security is provided. The information provision unit can also analyze the emotions of tourists and provide an appropriate message. This makes it possible to estimate the emotions of tourists and provide a message that gives a sense of security in the event of an emergency. For example, tourists can feel a sense of security in the event of an emergency.

[0074] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0075] The guidance system can monitor tourists' health and provide appropriate advice. For example, if a tourist has been walking for a long time, it can advise them to take a break. If a tourist is in a hot environment, it can provide a message encouraging them to stay hydrated. Furthermore, if a tourist is at high altitude, it can provide guidance on how to prevent altitude sickness. This helps protect the health of tourists and support a comfortable trip.

[0076] The guidance system can estimate tourists' emotions and provide relaxation techniques to reduce stress. For example, if a tourist feels nervous, it can guide them on how to take deep breaths. If a tourist feels tired, it can suggest simple stretching techniques. Furthermore, if a tourist feels anxious, it can provide a meditation guide. This helps tourists relax and enjoy their trip more.

[0077] The guidance system can provide information on local specialties and souvenirs based on tourists' interests and preferences. For example, if a tourist is interested in food, it can introduce local specialties and popular restaurants. If a tourist is interested in crafts, it can provide information on local craft stores and markets. Furthermore, if a tourist is interested in fashion, it can guide them to local boutiques and shopping areas. This allows tourists to enjoy local culture and specialties.

[0078] The guidance system can estimate tourists' emotions and suggest appropriate tourist spots. For example, if a tourist is excited, it can suggest active attractions and events. If a tourist wants to relax, it can recommend quiet parks and relaxation spots. Furthermore, if a tourist is looking for a cultural experience, it can suggest museums and historical sites. This makes it possible to provide the optimal tourist experience according to the tourist's emotions.

[0079] The guidance system can suggest the optimal route depending on the tourist's mode of transportation. For example, if the tourist is using a bicycle, it will guide them to a route specifically for bicycles. If the tourist is using public transportation, it can also provide information on the nearest bus stop or station. Furthermore, if the tourist is traveling on foot, it can suggest a pedestrian-friendly route. This allows tourists to choose the route that is best suited to their mode of transportation.

[0080] The guidance system can estimate the tourist's emotions and suggest restaurants and cafes according to the emotion. For example, if the tourist is tired, it can suggest a relaxing cafe. If the tourist is excited, it can also recommend a lively restaurant. Furthermore, if the tourist is looking for a calm atmosphere, it can suggest a quiet restaurant. This makes it possible to select the most suitable restaurant according to the tourist's emotions.

[0081] The information system can provide tourists with special offers and discounts for their next visit based on their past visit history. For example, it can provide discount coupons for restaurants that tourists have visited in the past. It can also provide information on special offers for tourists who have previously visited an event. It can also provide information on special offers at souvenir shops where tourists have previously made purchases. This allows tourists to receive special offers and discounts when they visit again, increasing their satisfaction as repeat customers.

[0082] The guidance system can estimate the tourist's emotions and suggest sightseeing plans that correspond to the emotions. For example, if the tourist is excited, it can suggest plans that include active attractions and events. If the tourist wants to relax, it can also suggest plans that include quiet parks and relaxation spots. Furthermore, if the tourist is looking for a cultural experience, it can suggest plans that include museums and historical places. In this way, it is possible to provide the optimal sightseeing plan according to the tourist's emotions.

[0083] The guidance system can provide information about nearby tourist spots and events based on the tourist's real-time location information. For example, if a tourist is in a specific area, the system will guide them to the tourist spots in that area. It can also provide tourists with information about events being held nearby. It can also provide information about nearby restaurants and cafes while tourists are on the move. This allows tourists to obtain information about their surroundings in real time and enjoy sightseeing efficiently.

[0084] The guidance system can estimate a tourist's emotions and suggest entertainment options according to their emotions. For example, if a tourist is excited, it can suggest action movies or live performances. If a tourist wants to relax, it can recommend comedy movies or relaxing music. Furthermore, if a tourist is looking for a cultural experience, it can suggest plays or art exhibitions. This makes it possible to provide the optimal entertainment options according to the tourist's emotions.

[0085] The processing flow of the second embodiment will be briefly explained below.

[0086] Step 1: The speech recognition unit recognizes the tourist's question. For example, if a tourist asks, "Are there any good restaurants nearby?", the system will recognize that question. It can also recognize the tourist's question, "Please tell me how to get to the station." It can also recognize the tourist's question, "I lost my passport. What should I do?" Step 2: The natural language processing unit analyzes the question recognized by the speech recognition unit. For example, it analyzes a tourist's question and understands its content. It can also generate an appropriate answer and search for related information. Step 3: The information provider provides appropriate information based on the question analyzed by the natural language processor. For example, in response to a tourist's question, it can provide information about nearby restaurants. It can also provide directions to the station. It can also provide information about the nearest police station or embassy.

[0087] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0088] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> Examples of generative AIs include the data generation model 58, such as a neural network model (e.g., a neural network model), and a neural network model (e.g., a neural network model). The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating speech, text data indicating text, and image data indicating an image is also input to the data generation model 58. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specification processing unit 290 performs the above-mentioned specification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0089] Furthermore, the processing by the data processing system 10 described above is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart device 14, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart device 14. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information necessary for processing from the smart device 14 or an external device, and the smart device 14 acquires or collects information necessary for processing from the data processing device 12 or an external device.

[0090] [Second embodiment] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0091] 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0092] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN and / or a LAN.

[0093] 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.

[0094] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0095] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0096] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0097] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0098] 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.

[0099] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0100] In the smart glasses 214, the specific processing is performed by the processor 46. A specific processing program 60 is stored in the storage 50. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. Note that the smart glasses 214 may have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[0101] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0102] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0103] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0104] The data processing system 210 according to the second embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 210 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart glasses 214, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart glasses 214. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the smart glasses 214 or an external device, etc., and the smart glasses 214 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0105] [Third embodiment] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0106] 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.

[0107] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN and / or a LAN.

[0108] 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.

[0109] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0110] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0111] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0112] 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.

[0113] 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.

[0114] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0115] In the headset type terminal 314, the identification process is performed by the processor 46. A identification program 60 is stored in the storage 50. The processor 46 reads the identification program 60 from the storage 50 and executes the read identification program 60 on the RAM 48. The identification process is realized by the processor 46 operating as a control unit 46A in accordance with the identification program 60 executed on the RAM 48. Note that the headset type terminal 314 may also have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[0116] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0117] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0118] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0119] The data processing system 310 according to the third embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 310 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the headset type terminal 314, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the headset type terminal 314. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the headset type terminal 314 or an external device, etc., and the headset type terminal 314 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0120] [Fourth embodiment] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0121] 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.

[0122] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN and / or a LAN.

[0123] 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.

[0124] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0125] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS image sensor or a CCD image sensor, and captures images of the user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0126] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0127] The control object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[0128] 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.

[0129] The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0130] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0131] In the robot 414, the processor 46 performs the identification process. A identification program 60 is stored in the storage 50. The processor 46 reads the identification program 60 from the storage 50 and executes the read identification program 60 on the RAM 48. The identification process is realized by the processor 46 operating as a control unit 46A in accordance with the identification program 60 executed on the RAM 48. The robot 414 may have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[0132] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0133] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[0134] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0135] The data processing system 410 according to the fourth embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 410 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the robot 414, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the robot 414. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the robot 414 or an external device, etc., and the robot 414 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0136] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0137] FIG. 9 illustrates an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and behaviors arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion encompasses both emotions and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[0138] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[0139] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[0140] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is expressed, and when they approach the ideal, a state of pleasure is expressed. Emotions can also be created for robots, cars, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is expressed, and when they approach the ideal, a state of pleasure is expressed. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on speech emotion recognition and brain physiological signal analysis systems for emotions, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the area called "reaction," where sensation is dominant. The right half of the emotion map lists emotions belonging to the area called "situation," where situational awareness is dominant.

[0141] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[0142] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[0143] 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.

[0144] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[0145] Alternatively, the specific processing program 56 may be stored in a storage device such as a server connected to the data processing device 12 via the network 54, and the specific processing program 56 may be downloaded and installed on the computer 22 in response to a request from the data processing device 12.

[0146] 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.

[0147] The hardware resource for executing a specific process can be any of the following types of processors: A processor, for example, is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. A processor also includes a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[0148] The hardware resource that executes the specific process may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific process may be a single processor.

[0149] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[0150] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[0151] In the above example, the first to fourth embodiments have been described separately, but some or all of these embodiments may be combined. The smart device 14, smart glasses 214, headset terminal 314, and robot 414 are merely examples, and they may be combined, or other devices may be used. In the above example, the first and second embodiments have been described separately, but they may be combined.

[0152] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[0153] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference. [Explanation of symbols]

[0154] 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 speech recognition unit that recognizes questions from tourists; a natural language processing unit that analyzes the question recognized by the speech recognition unit; an information providing unit that provides appropriate information based on the question analyzed by the natural language processing unit. A system characterized by:

2. The voice recognition unit Recognizing the tourist's question in multiple languages; The natural language processing unit Analyzing the question in multiple languages; The information providing unit Providing appropriate information in multiple languages 2. The system of claim 1.

3. The information providing unit Analyzing the tourist's pronunciation and accent and generating a response with a more natural pronunciation 2. The system of claim 1.

4. The information providing unit Learn about the tourist's interests and preferences and propose individually customized sightseeing plans 2. The system of claim 1.

5. The information providing unit Estimate the tourist's emotions and provide music or images to relax them 2. The system of claim 1.

Images