system

Abstract

An object of a system according to an embodiment is to flexibly provide guidance on tourist spots in accordance with a user's transportation means or speed.SOLUTION: A system according to an embodiment includes a GPS link unit, a voice generation unit, a guidance adjustment unit, and a display unit. The GPS cooperation unit cooperates with the GPS function, and performs guidance with a voice generated by the voice generation unit when the user comes near a sightseeing spot. The sound generation unit guides information on the sightseeing spot specified by the GPS link unit by sound. The guidance adjustment unit adjusts the sound generated by the sound generation unit according to the moving means and the speed of the user. The display unit displays the guidance sentence generated by the voice generation unit on the smartphone screen.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 the problem that it provides uniform guidance to tourist spots and is difficult to respond flexibly to the user's means of transportation and speed.

[0005] The system according to the embodiment aims to flexibly provide tourist spot information according to the user's means of transportation and speed. [Means for solving the problem]

[0006] The system according to the embodiment includes a GPS linking unit, a voice generating unit, a guidance adjusting unit, and a display unit. The GPS linking unit links with the GPS function and provides guidance using voice generated by the voice generating unit when the user approaches a tourist spot. The voice generating unit provides voice guidance on information related to the tourist spot identified by the GPS linking unit. The guidance adjusting unit adjusts the voice generated by the voice generating unit according to the user's means of transportation and speed. The display unit displays the guidance generated by the voice generating unit on the smartphone screen. [Effects of the Invention]

[0007] The system according to the embodiment can flexibly provide tourist spot information according to the user's means of transportation and speed. [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 a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[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 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. 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 tourist information system according to the embodiment of the present invention is a system that works in conjunction with the GPS function of a smartphone and provides voice guidance generated by a voice generation AI when the user approaches a tourist spot. This allows the tourist information system to efficiently provide guidance about tourist spots.

[0029] A tourist information system according to an embodiment includes a GPS linking unit, a voice generation unit, a guidance adjustment unit, and a display unit. The GPS linking unit links with the smartphone's GPS function and provides voice guidance generated by a voice generation AI when the user approaches a tourist spot. For example, the GPS linking unit identifies the user's current location, and the voice generation AI automatically starts providing guidance when the user approaches a tourist spot. The voice generation unit provides voice guidance with information about the tourist spot identified by the GPS linking unit. For example, the voice generation unit analyzes information about the tourist spot and generates appropriate guidance. The voice generation unit uses a generation AI (e.g., a text generation AI or a multimodal generation AI) to provide voice guidance with information about the tourist spot. The guidance adjustment unit adjusts the voice generated by the voice generation unit according to the user's means of transportation and speed. For example, the guidance adjustment unit provides detailed explanations when the user is traveling on foot and brief explanations when the user is traveling by car. Furthermore, the speed of the announcements increases when the user's speed is fast and decreases when the user's speed is slow. The display unit displays the guidance generated by the voice generation unit on the smartphone screen. For example, the display unit may display a guide message on the screen at the same time as the audio guidance, thereby enabling the tourist information system to efficiently provide guidance on tourist spots.

[0030] The GPS linkage unit can analyze a user's past movement history and suggest optimal sightseeing routes. For example, the GPS linkage unit collects a user's past movement history from GPS data and identifies frequently visited places and areas of interest. Based on this, it suggests the optimal sightseeing route for the user. For example, for a user who likes historical buildings, it suggests a route centered around historical tourist spots. It also analyzes GPS data and suggests tourist spots that the user should visit next, taking into account the ratings and length of stay of tourist spots that the user has visited in the past. For example, it recommends related tourist spots near spots where the user spent a long time. It also suggests optimal sightseeing routes according to the season and time of day based on the user's movement history. For example, it suggests a route that includes famous cherry blossom spots in spring, and a route that includes cool places in summer. This makes it possible to provide the user with the optimal sightseeing route.

[0031] The GPS linkage unit can grasp the congestion status of tourist spots in real time and guide the user to alternative routes to avoid the crowds. For example, the GPS linkage unit uses GPS data to collect congestion status of tourist spots in real time and propose alternative routes to avoid the crowds to the user. For example, it guides the user to nearby tourist spots that are less crowded, avoiding crowded spots. It also compares the congestion status of the user's current location with that of the destination and calculates the optimal travel route in real time. For example, it proposes a route that avoids crowded roads and takes less crowded roads. It also uses an algorithm to predict congestion status to predict in advance how crowded tourist spots the user plans to visit and proposes the optimal time to visit to avoid the crowds. For example, it guides the user to visit during less crowded times, avoiding times when congestion is expected. This makes it possible to provide a tourist route that avoids crowds.

[0032] The GPS linkage unit can provide information on restaurants and shopping areas near tourist spots. For example, the GPS linkage unit uses GPS data to collect information on restaurants and shopping areas near tourist spots visited by the user and provides this to the user. For example, it can guide users to popular restaurants and cafes near tourist spots. It can also analyze the user's current location and information about the area around the tourist spot in real time to suggest the most suitable restaurants and shopping areas. For example, it can recommend restaurants and shops that suit the user's preferences. It can also collect reviews and ratings of restaurants and shopping areas near tourist spots based on GPS data and provide this to the user. For example, it can guide users to highly rated restaurants and popular shops. This makes it possible to provide information about the areas around tourist spots.

[0033] The GPS linkage unit can analyze the user's movement patterns and provide health management and fitness advice. The GPS linkage unit, for example, uses GPS data to analyze the user's movement patterns and provide health management and fitness advice. For example, it calculates walking distance and calories burned and provides health management advice. It also evaluates the user's fitness goal achievement level based on the user's movement history and sets the next goal. For example, it suggests the next goal when a certain walking distance is achieved. It also analyzes GPS data and provides advice to support healthy lifestyle habits based on the user's movement patterns. For example, it suggests regular exercise and appropriate rest. This makes it possible to provide the user with health management and fitness advice.

[0034] The voice generation unit can not only provide detailed information about the history and culture of tourist spots, but also provide guidance that includes local legends and anecdotes. For example, when the voice generation AI provides detailed information about the history and culture of a tourist spot, the voice generation unit can also provide guidance that includes local legends and anecdotes. For example, it can provide guidance such as, "This castle was built in the 16th century, and according to legend, it is haunted." It can also analyze information about the history and culture of tourist spots and incorporate local legends and anecdotes into the voice guidance. For example, it can provide guidance such as, "This bridge is considered a sacred place for lovers, and it is said that proposing here will bring happiness." When the voice generation AI provides detailed information about tourist spots, it can also incorporate local legends and anecdotes into the guidance. For example, it can provide guidance such as, "This temple is a place where ancient warriors prayed, and it is said that praying here before battle will bring victory." This allows it to provide local legends and anecdotes along with detailed information about tourist spots.

[0035] The voice generation unit can provide guidance customized based on the user's interests and concerns. For example, the voice generation AI analyzes the user's interests and concerns and provides customized guidance based on them. For example, for a user who is interested in history, guidance will be provided focusing on historical background and anecdotes. The voice generation AI also provides customized guidance based on the user's past search history and visit history. For example, guidance will be prioritized based on information related to places the user has visited in the past. The voice generation AI also analyzes the user's profile information and provides guidance tailored to the user's interests and concerns. For example, for a user who is interested in art, guidance will be provided focusing on information about museums and art galleries. This makes it possible to provide guidance based on the user's interests and concerns.

[0036] The voice generation unit can provide information not only about tourist spots, but also about the surrounding natural environment, flora, and fauna. For example, the voice generation AI can provide information about the surrounding natural environment, flora, and fauna in addition to tourist spot information. For example, it can provide information such as, "This park is home to rare birds, and beautiful flowers bloom in the spring." It can also analyze the surrounding environment of tourist spots and incorporate information about the natural environment, flora, and fauna into the voice guidance. For example, it can provide information such as, "This lake is home to many fish, so you can enjoy fishing." When providing detailed information about tourist spots, the voice generation AI can also include information about the surrounding natural environment, flora, and fauna. For example, it can provide information such as, "This mountain offers beautiful scenery in all four seasons, and the autumn leaves are beautiful." This makes it possible to provide information about the natural environment, flora, and fauna around tourist spots.

[0037] The voice generation unit can also provide information such as sunrise and sunset times and weather forecasts depending on the user's time of visit. For example, the voice generation AI in the voice generation unit provides the sunrise and sunset times depending on the user's time of visit. For example, it may provide guidance such as, "You can see a beautiful sunrise from this location. Sunrise time is 6:30." The voice generation AI also provides a weather forecast based on the user's time of visit. For example, it may provide guidance such as, "Today is forecast to be sunny, so it's a perfect day for sightseeing." The voice generation AI may also provide guidance on the best time to visit and important points to note depending on the user's time of visit. For example, it may provide guidance such as, "This location gets crowded in the evening, so we recommend visiting in the morning." This makes it possible to provide information appropriate to the user's time of visit.

[0038] The guidance adjustment unit can automatically adjust not only the content of the voice guidance but also the background sounds and sound effects according to the mode of transportation and speed. The guidance adjustment unit automatically adjusts the background sounds and sound effects along with the content of the voice guidance according to, for example, the mode of transportation and speed. For example, if the user is traveling on foot, natural sounds are played in the background, and if the user is traveling by car, engine sounds are played in the background. The guidance adjustment unit also analyzes the user's mode of transportation and speed and generates optimal background sounds and sound effects in real time. For example, if the user is traveling by bicycle, wind sounds are played in the background. The guidance adjustment unit also adjusts the sound effects along with the content of the voice guidance according to the mode of transportation and speed to enhance the sense of realism. For example, while explaining a tourist spot, sounds unique to that location are added as sound effects. This makes it possible to provide background sounds and sound effects according to the mode of transportation and speed.

[0039] The guidance adjustment unit can also automatically change the tone and pitch of the voice guidance according to the means of transportation and speed, thereby improving ease of listening. The guidance adjustment unit can automatically change the tone and pitch of the voice guidance according to, for example, the means of transportation and speed, thereby improving ease of listening. For example, if the user is traveling on foot, the guidance is provided in a calmer tone. The unit also analyzes the user's means of transportation and speed and adjusts the optimal tone and pitch in real time. For example, if the user is traveling by bicycle, the guidance is provided in a slightly higher pitch. The unit also adjusts the tone and pitch of the voice guidance according to the means of transportation and speed, making it easier for the user to listen. For example, if the user is traveling by car, the guidance is provided in a lower tone. This makes it possible to provide the tone and pitch of the voice guidance according to the means of transportation and speed.

[0040] The guidance adjustment unit can provide not only voice guidance but also feedback such as smartphone vibration or flashing lights, depending on the means of transportation and speed. The guidance adjustment unit provides feedback such as smartphone vibration or flashing lights along with voice guidance, depending on the means of transportation and speed, for example. For example, if the user is traveling on foot, a notification is made by vibration. The unit also analyzes the user's means of transportation and speed and provides optimal feedback in real time. For example, if the user is traveling by bicycle, a notification is made by flashing lights. The unit also provides feedback along with voice guidance according to the means of transportation and speed, making it easier for the user to receive information. For example, if the user is traveling by car, a notification is made by vibration and flashing lights. This makes it possible to provide feedback according to the means of transportation and speed.

[0041] The guidance adjustment unit automatically summarizes the content of the voice guidance according to the means of travel and speed, and can convey important information in a short time. The guidance adjustment unit automatically summarizes the content of the voice guidance according to, for example, the means of travel and speed, and can convey important information in a short time. For example, when traveling by car, it provides brief guidance on only the main points of tourist spots. It also analyzes the user's means of travel and speed and generates an optimal summary in real time. For example, when traveling by bicycle, it provides brief guidance on key information about tourist spots. It also summarizes the content of the voice guidance according to the means of travel and speed, allowing the user to receive important information in a short time. For example, when traveling on foot, it provides detailed information but also provides guidance that focuses on the main points. This makes it possible to provide summarized information according to the means of travel and speed.

[0042] The voice generation unit can provide guidance not only in the user's native language but also in the language being learned, thereby supporting language learning. For example, the voice generation AI can provide guidance not only in the user's native language but also in the language being learned, thereby supporting language learning. For example, a user who is learning English can be provided with guidance in English. Furthermore, based on the user's language setting, the voice generation AI can provide guidance in the language being learned. For example, a user who is learning French can be provided with guidance in French. Furthermore, the voice generation AI can analyze the language the user is learning and provide guidance in that language. For example, a user who is learning Chinese can be provided with guidance in Chinese. This can support the user's language learning.

[0043] The voice generation unit can also accommodate regional dialects and accents, allowing it to provide guidance that is closer to the local area. For example, the voice generation AI can accommodate regional dialects and accents, providing guidance that is closer to the local area. For example, at tourist spots in the Kansai region, guidance is provided in Kansai dialect. It can also analyze the user's current location and provide guidance in the dialect and accent of that region. For example, at tourist spots in the Okinawa region, guidance is provided in Okinawa dialect. The voice generation AI can also learn regional dialects and accents and provide guidance that gives a sense of the local atmosphere. For example, at tourist spots in the Tohoku region, guidance is provided in Tohoku dialect. This allows it to provide guidance that is compatible with local dialects and accents.

[0044] The voice generation unit can provide not only tourist attraction information but also information about local culture and customs. For example, the voice generation AI can provide information about local culture and customs in addition to tourist attraction information. For example, it can provide information such as, "In this area, it is customary to wash your hands before eating." It can also incorporate information about local culture and customs into tourist attraction information. For example, it can provide information such as, "At this shrine, when worshiping, you bow twice, clap twice, and bow once." When providing detailed information about tourist attractions, the voice generation AI can also include information about local culture and customs. For example, it can provide information such as, "In this area, people wear specific costumes during festivals." This makes it possible to provide information about local culture and customs along with tourist attraction information.

[0045] The voice generation unit can also translate menus and product descriptions of local restaurants and shops according to the user's language setting. For example, the voice generation AI in the voice generation unit translates menus and product descriptions of local restaurants and shops according to the user's language setting. For example, a user with English settings will be provided with menus and product descriptions in English. The voice generation unit also analyzes the user's language setting and provides information about local restaurants and shops in the most appropriate language. For example, a user with Chinese settings will be provided with menus and product descriptions in Chinese. The voice generation AI also translates information about local restaurants and shops in real time based on the user's language setting. For example, a user with French settings will be provided with menus and product descriptions in French. This makes it possible to provide translations according to the user's language setting.

[0046] The display unit can also automatically display images and videos related to the guidance text displayed on the smartphone screen. The display unit, for example, automatically displays images and videos related to the guidance text displayed on the smartphone screen. For example, it displays photos and videos of tourist spots along with descriptions of the locations. It also displays related visual content on the smartphone screen in conjunction with audio guidance. For example, it displays a video showing the construction process of a historical building along with a description of the building. It also automatically adds related images and videos that may interest the user to the guidance text displayed on the smartphone screen. For example, it displays images showing the scenery of the location in each season along with a description of the natural landscape. This makes it possible to provide images and videos related to the guidance text.

[0047] The display unit can customize the information displayed on the smartphone screen based on the user's interests and concerns. The display unit, for example, customizes the information displayed on the smartphone screen based on the user's interests and concerns. For example, for a user who is interested in history, the display unit displays information focusing on historical background and anecdotes. The display unit also customizes the information displayed on the smartphone screen based on the user's past search history and visit history. For example, the display unit prioritizes displaying information related to places the user has visited in the past. The display unit also customizes the information displayed on the smartphone screen by analyzing the user's profile information. For example, for a user who is interested in art, the display unit displays information focusing on museums and art galleries. This makes it possible to provide information based on the user's interests and concerns.

[0048] The display unit can automatically summarize the guidance displayed on the smartphone screen according to the user's means of transportation and speed. The display unit, for example, automatically summarizes the guidance displayed on the smartphone screen according to the user's means of transportation and speed. For example, if the user is traveling by car, only the main points of tourist spots are displayed concisely. The display unit also analyzes the user's means of transportation and speed and generates an optimal summary in real time. For example, if the user is traveling by bicycle, a short summary of the main information about tourist spots is displayed. The display unit also summarizes the guidance displayed on the smartphone screen according to the means of transportation and speed, allowing the user to receive important information in a short amount of time. For example, if the user is traveling on foot, the display unit displays guidance that provides detailed information but focuses on the main points. This makes it possible to provide summarized guidance according to the user's means of transportation and speed.

[0049] The display unit can automatically translate the guidance displayed on the smartphone screen according to the user's language setting. The display unit, for example, automatically translates the guidance displayed on the smartphone screen according to the user's language setting. For example, for a user whose language setting is English, the guidance is displayed in English. The display unit also analyzes the user's language setting and provides the guidance displayed on the smartphone screen in the most appropriate language. For example, for a user whose language setting is Chinese, the guidance is displayed in Chinese. The display unit also translates the guidance displayed on the smartphone screen in real time based on the user's language setting. For example, for a user whose language setting is French, the guidance is displayed in French. This makes it possible to provide translated guidance according to the user's language setting.

[0050] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0051] The tourist information system may further include a health management unit that monitors the user's health condition. For example, the health management unit may monitor the user's heart rate and step count in real time and suggest appropriate breaks and hydration. The health management unit may also suggest health-promoting spots (e.g., parks and nature trails) along the tourist route based on the user's health data. Furthermore, the health management unit may adjust the guidance for tourist spots according to the user's health condition, allowing the user to enjoy sightseeing at a comfortable pace.

[0052] The tourist information system can further include a souvenir suggestion unit that is customized based on the user's preferences. For example, the souvenir suggestion unit can analyze the user's past purchase history and interests to recommend souvenir shops and local specialties near tourist spots. The souvenir suggestion unit can also suggest the optimal souvenir purchasing route based on the user's current location and tourist spot information. Furthermore, the souvenir suggestion unit can provide special discount information and campaign information tailored to the user's preferences.

[0053] The tourist information system can further include an eco-route suggestion unit that suggests eco-friendly routes according to the user's mode of transportation. For example, the eco-route suggestion unit suggests routes that take the natural environment into consideration for users who travel by foot or bicycle. It can also suggest optimal transfer information and eco-friendly modes of transportation for users who use public transportation. Furthermore, the eco-route suggestion unit can recommend environmentally friendly tourist spots and facilities according to the user's mode of transportation.

[0054] The tourist information system may further include an event information provider that provides local event information based on the user's interests. For example, the event information provider may provide information on local festivals, concerts, art exhibitions, and other events that match the user's interests. The event information provider may also suggest the optimal route to participate in the event based on the user's current location and tourist spot information. Furthermore, the event information provider may provide special discount information and campaign information that match the user's interests.

[0055] The tourist information system can further include a safety information providing unit that provides safety information according to the user's means of transportation. For example, the safety information providing unit can guide a user traveling on foot about safe walking routes and points to be aware of. It can also recommend safe cycling routes and helmet wearing to a user traveling by bicycle. Furthermore, the safety information providing unit can suggest optimal transfer information and safe means of transportation to a user using public transportation.

[0056] The tourist information system may further include an activity information provider that provides local activity information based on the user's interests. For example, the activity information provider may provide information on local activities (e.g., hiking, kayaking, cycling, etc.) that match the user's interests. The activity information provider may also suggest optimal activity routes based on the user's current location and tourist spot information. Furthermore, the activity information provider may provide special discount information and campaign information that match the user's interests.

[0057] The processing flow of the first embodiment will be briefly explained below.

[0058] Step 1: The GPS linkage unit links with the smartphone's GPS function and provides voice guidance generated by the voice generation AI when the user approaches a tourist spot. For example, the GPS linkage unit identifies the user's current location, and the voice generation AI automatically begins providing guidance when the user approaches a tourist spot. Step 2: The voice generation unit provides voice guidance on information about the tourist spots identified by the GPS linkage unit. For example, the voice generation unit analyzes information about the tourist spots and generates appropriate guidance. The voice generation unit uses generation AI (e.g., text generation AI or multimodal generation AI) to provide voice guidance on information about the tourist spots. Step 3: The guidance adjustment unit adjusts the voice generated by the voice generation unit according to the user's means of transportation and speed. For example, the guidance adjustment unit provides detailed explanations when the user is traveling on foot and provides brief explanations when the user is traveling by car. Also, the guidance adjustment unit speeds up the announcements when the user is traveling at a fast speed and slows down the announcements when the user is traveling at a slow speed. Step 4: The display unit displays the guidance text generated by the voice generation unit on the smartphone screen. For example, the display unit displays the guidance text on the screen simultaneously with the voice guidance.

[0059] (Example 2) The tourist information system according to the embodiment of the present invention is a system that works in conjunction with the GPS function of a smartphone and provides voice guidance generated by a voice generation AI when the user approaches a tourist spot. This allows the tourist information system to efficiently provide guidance about tourist spots.

[0060] A tourist information system according to an embodiment includes a GPS linking unit, a voice generation unit, a guidance adjustment unit, and a display unit. The GPS linking unit links with the smartphone's GPS function and provides voice guidance generated by a voice generation AI when the user approaches a tourist spot. For example, the GPS linking unit identifies the user's current location, and the voice generation AI automatically starts providing guidance when the user approaches a tourist spot. The voice generation unit provides voice guidance with information about the tourist spot identified by the GPS linking unit. For example, the voice generation unit analyzes information about the tourist spot and generates appropriate guidance. The voice generation unit uses a generation AI (e.g., a text generation AI or a multimodal generation AI) to provide voice guidance with information about the tourist spot. The guidance adjustment unit adjusts the voice generated by the voice generation unit according to the user's means of transportation and speed. For example, the guidance adjustment unit provides detailed explanations when the user is traveling on foot and brief explanations when the user is traveling by car. Furthermore, the speed of the announcements increases when the user's speed is fast and decreases when the user's speed is slow. The display unit displays the guidance generated by the voice generation unit on the smartphone screen. For example, the display unit may display a guide message on the screen at the same time as the audio guidance, thereby enabling the tourist information system to efficiently provide guidance on tourist spots.

[0061] The GPS linkage unit can analyze a user's past movement history and suggest optimal sightseeing routes. For example, the GPS linkage unit collects a user's past movement history from GPS data and identifies frequently visited places and areas of interest. Based on this, it suggests the optimal sightseeing route for the user. For example, for a user who likes historical buildings, it suggests a route centered around historical tourist spots. It also analyzes GPS data and suggests tourist spots that the user should visit next, taking into account the ratings and length of stay of tourist spots that the user has visited in the past. For example, it recommends related tourist spots near spots where the user spent a long time. It also suggests optimal sightseeing routes according to the season and time of day based on the user's movement history. For example, it suggests a route that includes famous cherry blossom spots in spring, and a route that includes cool places in summer. This makes it possible to provide the user with the optimal sightseeing route.

[0062] The GPS linkage unit can grasp the congestion status of tourist spots in real time and guide the user to alternative routes to avoid the crowds. For example, the GPS linkage unit uses GPS data to collect congestion status of tourist spots in real time and propose alternative routes to avoid the crowds to the user. For example, it guides the user to nearby tourist spots that are less crowded, avoiding crowded spots. It also compares the congestion status of the user's current location with that of the destination and calculates the optimal travel route in real time. For example, it proposes a route that avoids crowded roads and takes less crowded roads. It also uses an algorithm to predict congestion status to predict in advance how crowded tourist spots the user plans to visit and proposes the optimal time to visit to avoid the crowds. For example, it guides the user to visit during less crowded times, avoiding times when congestion is expected. This makes it possible to provide a tourist route that avoids crowds.

[0063] The GPS linkage unit can analyze the user's emotional data and prioritize tourist spots that elicit positive emotions. For example, the GPS linkage unit collects emotional data from places the user has visited in the past and identifies tourist spots that elicit positive emotions. For example, it prioritizes the guidance of places where the user enjoyed themselves or where they were able to relax. It also uses the emotion estimation function to analyze the emotional scores of places the user has visited in the past and recommends tourist spots with high positive emotion scores. For example, it prioritizes the guidance of places where the user spent time with a smile. It also suggests tourist spots that elicit positive emotions in real time based on the user's emotional data. For example, if the user is feeling stressed, it will guide the user to places where they can relax. This makes it possible to provide tourist spots based on the user's emotions.

[0064] The GPS linkage unit can provide information on restaurants and shopping areas near tourist spots. For example, the GPS linkage unit uses GPS data to collect information on restaurants and shopping areas near tourist spots visited by the user and provides this to the user. For example, it can guide users to popular restaurants and cafes near tourist spots. It can also analyze the user's current location and information about the area around the tourist spot in real time to suggest the most suitable restaurants and shopping areas. For example, it can recommend restaurants and shops that suit the user's preferences. It can also collect reviews and ratings of restaurants and shopping areas near tourist spots based on GPS data and provide this to the user. For example, it can guide users to highly rated restaurants and popular shops. This makes it possible to provide information about the areas around tourist spots.

[0065] The GPS linkage unit can analyze the user's movement patterns and provide health management and fitness advice. The GPS linkage unit, for example, uses GPS data to analyze the user's movement patterns and provide health management and fitness advice. For example, it calculates walking distance and calories burned and provides health management advice. It also evaluates the user's fitness goal achievement level based on the user's movement history and sets the next goal. For example, it suggests the next goal when a certain walking distance is achieved. It also analyzes GPS data and provides advice to support healthy lifestyle habits based on the user's movement patterns. For example, it suggests regular exercise and appropriate rest. This makes it possible to provide the user with health management and fitness advice.

[0066] The GPS linking unit can collect emotional data from the user and recommend tourist spots that are likely to resonate with other users emotionally. For example, the GPS linking unit uses an emotion estimation function to collect emotional data from tourist spots visited by the user and identify spots that are likely to resonate with other users emotionally. For example, it recommends spots where many positive emotions were reported. It also analyzes the user's emotional data and displays tourist spots that are likely to resonate with emotionally in a ranking format. For example, spots with high emotion scores are displayed at the top. It also builds a system that recommends tourist spots that are likely to resonate with other users emotionally based on the emotion estimation data. For example, it suggests optimal spots based on the user's emotional reactions. This makes it possible to provide tourist spots that are likely to resonate with emotionally.

[0067] The voice generation unit can not only provide detailed information about the history and culture of tourist spots, but also provide guidance that includes local legends and anecdotes. For example, when the voice generation AI provides detailed information about the history and culture of a tourist spot, the voice generation unit can also provide guidance that includes local legends and anecdotes. For example, it can provide guidance such as, "This castle was built in the 16th century, and according to legend, it is haunted." It can also analyze information about the history and culture of tourist spots and incorporate local legends and anecdotes into the voice guidance. For example, it can provide guidance such as, "This bridge is considered a sacred place for lovers, and it is said that proposing here will bring happiness." When the voice generation AI provides detailed information about tourist spots, it can also incorporate local legends and anecdotes into the guidance. For example, it can provide guidance such as, "This temple is a place where ancient warriors prayed, and it is said that praying here before battle will bring victory." This allows it to provide local legends and anecdotes along with detailed information about tourist spots.

[0068] The voice generation unit can provide guidance customized based on the user's interests and concerns. For example, the voice generation AI analyzes the user's interests and concerns and provides customized guidance based on them. For example, for a user who is interested in history, guidance will be provided focusing on historical background and anecdotes. The voice generation AI also provides customized guidance based on the user's past search history and visit history. For example, guidance will be prioritized based on information related to places the user has visited in the past. The voice generation AI also analyzes the user's profile information and provides guidance tailored to the user's interests and concerns. For example, for a user who is interested in art, guidance will be provided focusing on information about museums and art galleries. This makes it possible to provide guidance based on the user's interests and concerns.

[0069] The voice generation unit can generate relaxing or exciting voice guidance depending on the user's emotional state. The voice generation unit, for example, uses an emotion estimation function to analyze the user's emotional state in real time and generate relaxing or exciting voice guidance. For example, if the user is feeling stressed, relaxing voice guidance is provided. Furthermore, the voice generation AI generates optimal voice guidance depending on the user's emotional state. For example, if the user is excited, voice guidance that increases the user's excitement is provided. Furthermore, voice guidance tailored to the user's emotional state is generated in real time based on the emotion estimation data. For example, if the user is relaxed, voice guidance that helps the user to relax even more is provided. This makes it possible to provide voice guidance tailored to the user's emotional state.

[0070] The voice generation unit can provide information not only about tourist spots, but also about the surrounding natural environment, flora, and fauna. For example, the voice generation AI can provide information about the surrounding natural environment, flora, and fauna in addition to tourist spot information. For example, it can provide information such as, "This park is home to rare birds, and beautiful flowers bloom in the spring." It can also analyze the surrounding environment of tourist spots and incorporate information about the natural environment, flora, and fauna into the voice guidance. For example, it can provide information such as, "This lake is home to many fish, so you can enjoy fishing." When providing detailed information about tourist spots, the voice generation AI can also include information about the surrounding natural environment, flora, and fauna. For example, it can provide information such as, "This mountain offers beautiful scenery in all four seasons, and the autumn leaves are beautiful." This makes it possible to provide information about the natural environment, flora, and fauna around tourist spots.

[0071] The voice generation unit can also provide information such as sunrise and sunset times and weather forecasts depending on the user's time of visit. For example, the voice generation AI in the voice generation unit provides the sunrise and sunset times depending on the user's time of visit. For example, it may provide guidance such as, "You can see a beautiful sunrise from this location. Sunrise time is 6:30." The voice generation AI also provides a weather forecast based on the user's time of visit. For example, it may provide guidance such as, "Today is forecast to be sunny, so it's a perfect day for sightseeing." The voice generation AI may also provide guidance on the best time to visit and important points to note depending on the user's time of visit. For example, it may provide guidance such as, "This location gets crowded in the evening, so we recommend visiting in the morning." This makes it possible to provide information appropriate to the user's time of visit.

[0072] The voice generation unit can prioritize guidance of information that the user is most interested in according to the user's emotional state. For example, the voice generation unit uses an emotion estimation function to analyze in real time the information that the user is most interested in and prioritize guidance of that information. For example, guidance is provided mainly on historical information that the user has shown interest in. Furthermore, based on the user's emotional response, the voice generation AI prioritizes providing information that the user is most interested in. For example, more detailed guidance is provided on information that made the user smile. Furthermore, based on emotion estimation data, information that attracts the user's interest is prioritized, increasing emotional satisfaction. For example, guidance is provided mainly on information that excites the user. This makes it possible to provide information that corresponds to the user's emotional state.

[0073] The guidance adjustment unit can automatically adjust not only the content of the voice guidance but also the background sounds and sound effects according to the mode of transportation and speed. The guidance adjustment unit automatically adjusts the background sounds and sound effects along with the content of the voice guidance according to, for example, the mode of transportation and speed. For example, if the user is traveling on foot, natural sounds are played in the background, and if the user is traveling by car, engine sounds are played in the background. The guidance adjustment unit also analyzes the user's mode of transportation and speed and generates optimal background sounds and sound effects in real time. For example, if the user is traveling by bicycle, wind sounds are played in the background. The guidance adjustment unit also adjusts the sound effects along with the content of the voice guidance according to the mode of transportation and speed to enhance the sense of realism. For example, while explaining a tourist spot, sounds unique to that location are added as sound effects. This makes it possible to provide background sounds and sound effects according to the mode of transportation and speed.

[0074] The guidance adjustment unit can also automatically change the tone and pitch of the voice guidance according to the means of transportation and speed, thereby improving ease of listening. The guidance adjustment unit can automatically change the tone and pitch of the voice guidance according to, for example, the means of transportation and speed, thereby improving ease of listening. For example, if the user is traveling on foot, the guidance is provided in a calmer tone. The unit also analyzes the user's means of transportation and speed and adjusts the optimal tone and pitch in real time. For example, if the user is traveling by bicycle, the guidance is provided in a slightly higher pitch. The unit also adjusts the tone and pitch of the voice guidance according to the means of transportation and speed, making it easier for the user to listen. For example, if the user is traveling by car, the guidance is provided in a lower tone. This makes it possible to provide the tone and pitch of the voice guidance according to the means of transportation and speed.

[0075] The guidance adjustment unit can provide voice guidance that is optimal for the means of transportation and speed depending on the user's emotional state. The guidance adjustment unit, for example, uses an emotion estimation function to analyze the user's emotional state in real time and provide voice guidance that is optimal for the means of transportation and speed. For example, if the user is relaxed, a relaxed voice guidance is provided. Furthermore, the voice generation AI provides optimal voice guidance depending on the user's emotional state. For example, if the user is excited, a fast-paced voice guidance is provided. Furthermore, based on the emotion estimation data, voice guidance that matches the user's emotional state is provided in real time. For example, if the user is feeling stressed, a relaxing voice guidance is provided. In this way, voice guidance that matches the user's emotional state can be provided.

[0076] The guidance adjustment unit can provide not only voice guidance but also feedback such as smartphone vibration or flashing lights, depending on the means of transportation and speed. The guidance adjustment unit provides feedback such as smartphone vibration or flashing lights along with voice guidance, depending on the means of transportation and speed, for example. For example, if the user is traveling on foot, a notification is made by vibration. The unit also analyzes the user's means of transportation and speed and provides optimal feedback in real time. For example, if the user is traveling by bicycle, a notification is made by flashing lights. The unit also provides feedback along with voice guidance according to the means of transportation and speed, making it easier for the user to receive information. For example, if the user is traveling by car, a notification is made by vibration and flashing lights. This makes it possible to provide feedback according to the means of transportation and speed.

[0077] The guidance adjustment unit automatically summarizes the content of the voice guidance according to the means of travel and speed, and can convey important information in a short time. The guidance adjustment unit automatically summarizes the content of the voice guidance according to, for example, the means of travel and speed, and can convey important information in a short time. For example, when traveling by car, it provides brief guidance on only the main points of tourist spots. It also analyzes the user's means of travel and speed and generates an optimal summary in real time. For example, when traveling by bicycle, it provides brief guidance on key information about tourist spots. It also summarizes the content of the voice guidance according to the means of travel and speed, allowing the user to receive important information in a short time. For example, when traveling on foot, it provides detailed information but also provides guidance that focuses on the main points. This makes it possible to provide summarized information according to the means of travel and speed.

[0078] The guidance adjustment unit can recommend tourist spots that are optimal for the means of transportation and speed depending on the user's emotional state. For example, the guidance adjustment unit uses an emotion estimation function to analyze the user's emotional state in real time and recommend tourist spots that are optimal for the means of transportation and speed. For example, if the user is relaxed, quiet tourist spots are recommended. Furthermore, a voice generation AI recommends optimal tourist spots depending on the user's emotional state. For example, if the user is excited, active tourist spots are recommended. Furthermore, tourist spots that match the user's emotional state are recommended in real time based on emotion estimation data. For example, if the user is feeling stressed, relaxing tourist spots are recommended. This makes it possible to provide tourist spots that match the user's emotional state.

[0079] The voice generation unit can provide guidance not only in the user's native language but also in the language being learned, thereby supporting language learning. For example, the voice generation AI can provide guidance not only in the user's native language but also in the language being learned, thereby supporting language learning. For example, a user who is learning English can be provided with guidance in English. Furthermore, based on the user's language setting, the voice generation AI can provide guidance in the language being learned. For example, a user who is learning French can be provided with guidance in French. Furthermore, the voice generation AI can analyze the language the user is learning and provide guidance in that language. For example, a user who is learning Chinese can be provided with guidance in Chinese. This can support the user's language learning.

[0080] The voice generation unit can also accommodate regional dialects and accents, allowing it to provide guidance that is closer to the local area. For example, the voice generation AI can accommodate regional dialects and accents, providing guidance that is closer to the local area. For example, at tourist spots in the Kansai region, guidance is provided in Kansai dialect. It can also analyze the user's current location and provide guidance in the dialect and accent of that region. For example, at tourist spots in the Okinawa region, guidance is provided in Okinawa dialect. The voice generation AI can also learn regional dialects and accents and provide guidance that gives a sense of the local atmosphere. For example, at tourist spots in the Tohoku region, guidance is provided in Tohoku dialect. This allows it to provide guidance that is compatible with local dialects and accents.

[0081] The voice generation unit can provide not only tourist attraction information but also information about local culture and customs. For example, the voice generation AI can provide information about local culture and customs in addition to tourist attraction information. For example, it can provide information such as, "In this area, it is customary to wash your hands before eating." It can also incorporate information about local culture and customs into tourist attraction information. For example, it can provide information such as, "At this shrine, when worshiping, you bow twice, clap twice, and bow once." When providing detailed information about tourist attractions, the voice generation AI can also include information about local culture and customs. For example, it can provide information such as, "In this area, people wear specific costumes during festivals." This makes it possible to provide information about local culture and customs along with tourist attraction information.

[0082] The voice generation unit can also translate menus and product descriptions of local restaurants and shops according to the user's language setting. For example, the voice generation AI in the voice generation unit translates menus and product descriptions of local restaurants and shops according to the user's language setting. For example, a user with English settings will be provided with menus and product descriptions in English. The voice generation unit also analyzes the user's language setting and provides information about local restaurants and shops in the most appropriate language. For example, a user with Chinese settings will be provided with menus and product descriptions in Chinese. The voice generation AI also translates information about local restaurants and shops in real time based on the user's language setting. For example, a user with French settings will be provided with menus and product descriptions in French. This makes it possible to provide translations according to the user's language setting.

[0083] The voice generation unit can provide guidance in the language that is easiest for the user to understand depending on the user's emotional state. For example, the voice generation unit uses an emotion estimation function to analyze in real time the language that is easiest for the user to understand and provides guidance in that language. For example, if the user is relaxed, guidance is provided in the user's native language. Furthermore, the voice generation AI provides guidance in the most appropriate language depending on the user's emotional state. For example, if the user is excited, guidance is provided in the language being learned. Furthermore, based on the emotion estimation data, guidance is provided in real time in a language that matches the user's emotional state. For example, if the user is feeling stressed, guidance is provided in a language that is relaxing. This makes it possible to provide guidance in the most understandable language depending on the user's emotional state.

[0084] The display unit can also automatically display images and videos related to the guidance text displayed on the smartphone screen. The display unit, for example, automatically displays images and videos related to the guidance text displayed on the smartphone screen. For example, it displays photos and videos of tourist spots along with descriptions of the locations. It also displays related visual content on the smartphone screen in conjunction with audio guidance. For example, it displays a video showing the construction process of a historical building along with a description of the building. It also automatically adds related images and videos that may interest the user to the guidance text displayed on the smartphone screen. For example, it displays images showing the scenery of the location in each season along with a description of the natural landscape. This makes it possible to provide images and videos related to the guidance text.

[0085] The display unit can customize the information displayed on the smartphone screen based on the user's interests and concerns. The display unit, for example, customizes the information displayed on the smartphone screen based on the user's interests and concerns. For example, for a user who is interested in history, the display unit displays information focusing on historical background and anecdotes. The display unit also customizes the information displayed on the smartphone screen based on the user's past search history and visit history. For example, the display unit prioritizes displaying information related to places the user has visited in the past. The display unit also customizes the information displayed on the smartphone screen by analyzing the user's profile information. For example, for a user who is interested in art, the display unit displays information focusing on museums and art galleries. This makes it possible to provide information based on the user's interests and concerns.

[0086] The display unit can display an optimal guidance message according to the emotional state of the user. The display unit, for example, uses an emotion estimation function to analyze the emotional state of the user in real time and display an optimal guidance message. For example, if the user is relaxed, a guidance message with content that will help the user relax is displayed. Furthermore, the guidance message displayed on the smartphone screen is optimized according to the emotional state of the user. For example, if the user is excited, a guidance message with content that will increase the user's excitement is displayed. Furthermore, a guidance message tailored to the emotional state of the user is displayed in real time based on the emotion estimation data. For example, if the user is feeling stressed, a guidance message with content that will help the user relax is displayed. In this way, it is possible to provide an optimal guidance message according to the emotional state of the user.

[0087] The display unit can automatically summarize the guidance displayed on the smartphone screen according to the user's means of transportation and speed. The display unit, for example, automatically summarizes the guidance displayed on the smartphone screen according to the user's means of transportation and speed. For example, if the user is traveling by car, only the main points of tourist spots are displayed concisely. The display unit also analyzes the user's means of transportation and speed and generates an optimal summary in real time. For example, if the user is traveling by bicycle, a short summary of the main information about tourist spots is displayed. The display unit also summarizes the guidance displayed on the smartphone screen according to the means of transportation and speed, allowing the user to receive important information in a short amount of time. For example, if the user is traveling on foot, the display unit displays guidance that provides detailed information but focuses on the main points. This makes it possible to provide summarized guidance according to the user's means of transportation and speed.

[0088] The display unit can automatically translate the guidance displayed on the smartphone screen according to the user's language setting. The display unit, for example, automatically translates the guidance displayed on the smartphone screen according to the user's language setting. For example, for a user whose language setting is English, the guidance is displayed in English. The display unit also analyzes the user's language setting and provides the guidance displayed on the smartphone screen in the most appropriate language. For example, for a user whose language setting is Chinese, the guidance is displayed in Chinese. The display unit also translates the guidance displayed on the smartphone screen in real time based on the user's language setting. For example, for a user whose language setting is French, the guidance is displayed in French. This makes it possible to provide translated guidance according to the user's language setting.

[0089] The display unit can prioritize displaying information that the user is most interested in according to the user's emotional state. The display unit, for example, uses an emotion estimation function to analyze in real time the information that the user is most interested in and display it preferentially. For example, a guide message is displayed that focuses on historical information that the user is interested in. Furthermore, based on the user's emotional response, the information that the user is most interested in is displayed preferentially on the smartphone screen. For example, information that makes the user smile is displayed in more detail. Furthermore, based on emotion estimation data, information that attracts the user's interest is displayed preferentially, increasing emotional satisfaction. For example, a guide message is displayed that focuses on information that the user is excited about. This makes it possible to provide the most interesting information according to the user's emotional state.

[0090] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0091] The tourist information system may further include a health management unit that monitors the user's health condition. For example, the health management unit may monitor the user's heart rate and step count in real time and suggest appropriate breaks and hydration. The health management unit may also suggest health-promoting spots (e.g., parks and nature trails) along the tourist route based on the user's health data. Furthermore, the health management unit may adjust the guidance for tourist spots according to the user's health condition, allowing the user to enjoy sightseeing at a comfortable pace.

[0092] The tourist information system can further include a souvenir suggestion unit that is customized based on the user's preferences. For example, the souvenir suggestion unit can analyze the user's past purchase history and interests to recommend souvenir shops and local specialties near tourist spots. The souvenir suggestion unit can also suggest the optimal souvenir purchasing route based on the user's current location and tourist spot information. Furthermore, the souvenir suggestion unit can provide special discount information and campaign information tailored to the user's preferences.

[0093] The tourist information system may further include a music providing unit that analyzes the user's emotional data and provides music based on the user's emotions. For example, the music providing unit may play relaxing music when the user is relaxed, or may provide energetic music when the user is excited. Furthermore, the music providing unit may suggest music that matches the atmosphere of a tourist spot, further enriching the user's sightseeing experience.

[0094] The tourist information system can further include a photography suggestion unit that analyzes the user's emotional data and suggests photography spots based on the user's emotions. For example, if the user is having fun, the photography suggestion unit can suggest spots where the user's smile will look good. Also, if the user is relaxed, the photography suggestion unit can suggest spots where the user can enjoy a tranquil landscape. Furthermore, the photography suggestion unit can suggest the best timing and angle for taking a photo based on the user's emotional data.

[0095] The tourist information system may further include a meal suggestion unit that analyzes the user's emotional data and makes meal suggestions based on the user's emotions. For example, if the user is relaxed, the meal suggestion unit may suggest a relaxing cafe or restaurant. If the user is excited, the meal suggestion unit may suggest a restaurant with an energetic atmosphere. Furthermore, the meal suggestion unit may suggest an optimal meal menu or time of day based on the user's emotional data.

[0096] The tourist information system can further include an eco-route suggestion unit that suggests eco-friendly routes according to the user's mode of transportation. For example, the eco-route suggestion unit suggests routes that take the natural environment into consideration for users who travel by foot or bicycle. It can also suggest optimal transfer information and eco-friendly modes of transportation for users who use public transportation. Furthermore, the eco-route suggestion unit can recommend environmentally friendly tourist spots and facilities according to the user's mode of transportation.

[0097] The tourist information system may further include an event information provider that provides local event information based on the user's interests. For example, the event information provider may provide information on local festivals, concerts, art exhibitions, and other events that match the user's interests. The event information provider may also suggest the optimal route to participate in the event based on the user's current location and tourist spot information. Furthermore, the event information provider may provide special discount information and campaign information that match the user's interests.

[0098] The tourist information system can further include a safety information providing unit that provides safety information according to the user's means of transportation. For example, the safety information providing unit can guide a user traveling on foot about safe walking routes and points to be aware of. It can also recommend safe cycling routes and helmet wearing to a user traveling by bicycle. Furthermore, the safety information providing unit can suggest optimal transfer information and safe means of transportation to a user using public transportation.

[0099] The tourist information system may further include an activity information provider that provides local activity information based on the user's interests. For example, the activity information provider may provide information on local activities (e.g., hiking, kayaking, cycling, etc.) that match the user's interests. The activity information provider may also suggest optimal activity routes based on the user's current location and tourist spot information. Furthermore, the activity information provider may provide special discount information and campaign information that match the user's interests.

[0100] The tourist information system can further include a relaxation suggestion unit that analyzes the user's emotional data and suggests relaxation spots based on the user's emotions. For example, if the user is feeling stressed, the relaxation suggestion unit can suggest a park or hot spring where the user can relax. Also, if the user is relaxed, the relaxation suggestion unit can suggest a spot where the user can relax even more. Furthermore, the relaxation suggestion unit can suggest the most suitable relaxation method and time of day based on the user's emotional data.

[0101] The processing flow of the second embodiment will be briefly explained below.

[0102] Step 1: The GPS linkage unit links with the smartphone's GPS function and provides voice guidance generated by the voice generation AI when the user approaches a tourist spot. For example, the GPS linkage unit identifies the user's current location, and the voice generation AI automatically begins providing guidance when the user approaches a tourist spot. Step 2: The voice generation unit provides voice guidance on information about the tourist spots identified by the GPS linkage unit. For example, the voice generation unit analyzes information about the tourist spots and generates appropriate guidance. The voice generation unit uses generation AI (e.g., text generation AI or multimodal generation AI) to provide voice guidance on information about the tourist spots. Step 3: The guidance adjustment unit adjusts the voice generated by the voice generation unit according to the user's means of transportation and speed. For example, the guidance adjustment unit provides detailed explanations when the user is traveling on foot and provides brief explanations when the user is traveling by car. Also, the guidance adjustment unit speeds up the announcements when the user is traveling at a fast speed and slows down the announcements when the user is traveling at a slow speed. Step 4: The display unit displays the guidance text generated by the voice generation unit on the smartphone screen. For example, the display unit displays the guidance text on the screen simultaneously with the voice guidance.

[0103] 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.

[0104] 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.

[0105] 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.

[0106] [Second embodiment] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0107] 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.

[0108] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN and / or a LAN.

[0109] The 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.

[0110] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0111] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (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).

[0112] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0113] 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.

[0114] 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.

[0115] 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 a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0116] 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. The smart glasses 214 also 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 perform processing similar to that of the specific processing unit 290 using these models.

[0117] 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.

[0118] 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.

[0119] 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.

[0120] 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.

[0121] [Third embodiment] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0122] 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.

[0123] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN and / or a LAN.

[0124] The 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.

[0125] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0126] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0127] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0128] Fig. 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.

[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 a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0131] In the headset type terminal 314, 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 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 specific processing unit 290 using these models.

[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 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.

[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 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.

[0136] [Fourth embodiment] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0137] 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0138] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN and / or a LAN.

[0139] The 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.

[0140] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0141] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS 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).

[0142] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0143] 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.

[0144] 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.

[0145] 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.

[0146] 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 a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0147] In the robot 414, 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. The robot 414 also 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 perform processing similar to that of the specific processing unit 290 using these models.

[0148] 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.

[0149] 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.

[0150] 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.

[0151] 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.

[0152] 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.

[0153] 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.

[0154] 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.

[0155] 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).

[0156] 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.

[0157] 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."

[0158] 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.

[0159] 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.

[0160] 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.

[0161] 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.

[0162] 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.

[0163] 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.

[0164] 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.

[0165] 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.

[0166] 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.

[0167] 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.

[0168] 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.

[0169] 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]

[0170] 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. The GPS linkage unit works in conjunction with the GPS function to provide guidance using voice generated by the voice generation unit when the vehicle approaches a tourist spot. a voice generating unit that provides voice guidance on information about the tourist spot identified by the GPS linking unit; a guidance adjustment unit that adjusts the voice generated by the voice generation unit according to the means of transportation and speed of the user; a display unit that displays the guidance text generated by the voice generation unit on a smartphone screen. A system characterized by:

2. The GPS Collaboration Department Analyzes the user's past travel history and suggests optimal sightseeing routes 2. The system of claim 1.

3. The GPS Collaboration Department Understand the congestion situation at tourist spots in real time and provide alternative routes to avoid crowds 2. The system of claim 1.

4. The GPS Collaboration Department Analyzing user emotional data and prioritizing sightseeing spots that elicit positive emotions 2. The system of claim 1.

5. The GPS Collaboration Department Providing information on restaurants and shopping areas near tourist spots 2. The system of claim 1.

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