System

Abstract

An object of a system according to an embodiment is to provide a real-time travel plan customized for a foreign tourist and realize a comfortable travel experience.SOLUTION: A system according to an embodiment includes a travel plan generation unit, an activity suggestion unit, a memorabilia generation unit, and a roaming coordination unit. The travel plan generation unit analyzes information on the preference, interest, stay period, and budget of the tourist, and generates a customized real-time travel plan based on the information. The activity suggestion unit suggests an activity or a sightseeing spot suitable for the visit destination based on the travel plan generated by the travel plan generation unit. The souvenir generation section stores photographs and experiences taken during the travel as the souvenir and provides them as an electronic data album or a paper medium album. The roaming coordination unit implements cooperation between the communication carrier and the local government of the service area in coordination with the international roaming service contract.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 technologies have had the problem of not being able to adequately generate customized real-time itineraries to make foreign tourists' stay in Japan special and provide them with a comfortable travel experience.

[0005] The system according to the embodiment aims to provide foreign tourists with customized real-time travel plans and realize a comfortable travel experience. [Means for solving the problem]

[0006] The system according to the embodiment includes an itinerary generation unit, an activity suggestion unit, a souvenir generation unit, and a roaming collaboration unit. The itinerary generation unit analyzes information on tourists' preferences, interests, length of stay, and budget, and generates a customized real-time itinerary based on the analysis. The activity suggestion unit suggests activities or tourist spots tailored to the destinations to be visited based on the itinerary generated by the itinerary generation unit. The souvenir generation unit saves photos and experiences taken during the trip as souvenirs and provides them as electronic data albums or paper albums. The roaming collaboration unit cooperates with telecommunications carriers and local governments in the service area through collaboration with international roaming service agreements. [Effects of the Invention]

[0007] The system according to the embodiment can provide foreign tourists with customized real-time travel plans, enabling them to have a comfortable travel experience. [Brief explanation of the drawings]

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

[0028] (Example 1) The travel support system according to the embodiment of the present invention is a system that makes foreign tourists' stay in Japan special and provides them with a comfortable travel experience and memorable memories. As a result, the travel support system can make foreign tourists' stay in Japan special and provides them with a comfortable travel experience and memorable memories.

[0029] A travel support system according to an embodiment includes an itinerary generation unit, an activity suggestion unit, a souvenir generation unit, and a roaming linkage unit. The itinerary generation unit analyzes information on a tourist's preferences, interests, length of stay, and budget, and generates a customized real-time itinerary based on the analysis. For example, the itinerary generation unit suggests an optimal itinerary based on the tourist's survey results and past travel history. The itinerary generation unit can also generate a plan based on the tourist's budget. The activity suggestion unit suggests activities and tourist spots tailored to the destinations to be visited based on the itinerary generated by the itinerary generation unit. For example, the activity suggestion unit suggests optimal activities based on seasonal and event information in the area the tourist is visiting. The activity suggestion unit can also suggest tourist spots based on the tourist's interests. The souvenir generation unit saves photos taken during the trip and experiences as souvenirs and provides them as electronic data albums or paper albums. For example, the souvenir generation unit automatically organizes photos taken by the tourist and creates an album with a beautiful layout. The souvenir generation unit can also provide a customized album based on the tourist's experiences. The roaming cooperation unit cooperates with telecommunications carriers and local governments in the service area through cooperation with international roaming service agreements. For example, the roaming cooperation unit cooperates with telecommunications carriers to provide roaming services so that tourists can comfortably use the Internet within Japan. The roaming cooperation unit can also cooperate with local governments to provide tourist information and event information. As a result, the travel support system according to the embodiment can make foreign tourists' stay in Japan special and provide them with a comfortable travel experience and memorable memories.

[0030] The travel plan generation unit can analyze tourists' past travel history and social media posts to provide more personalized travel plans. For example, the travel plan generation unit uses a generation AI to analyze tourists' past travel history to understand their preferences for destinations and activities. For example, it can suggest similar experiences based on data on tourist spots visited in the past and events attended. The travel plan generation unit also analyzes social media posts to identify tourists' interests. For example, it can extract tourist-favorite scenery and activities from posted photos and comments and generate a travel plan based on that. The travel plan generation unit also integrates tourists' past travel history with social media data to provide more accurate personalized travel plans. For example, it can suggest the next travel destination based on ratings and impressions of past travel destinations. In this way, more personalized travel plans can be provided by analyzing tourists' past travel history and social media posts.

[0031] The travel plan generation unit can monitor tourists' real-time health status and mood using sensors and adjust the travel plan based on that information. For example, the travel plan generation unit collects data from wearable devices so that the generation AI can monitor tourists' health status. For example, the travel plan generation unit proposes a reasonable travel plan based on data such as heart rate, step count, and sleep status. The travel plan generation unit also utilizes smartphone sensors to monitor tourists' moods. For example, it can analyze tourists' moods using voice tone or facial expression recognition technology and propose activities accordingly. The travel plan generation unit also analyzes health status and mood data in real time and dynamically adjusts the travel plan. For example, if tourists are tired, it can propose relaxing activities, and if they are energetic, it can propose active activities. This allows the travel plan to be dynamically adjusted by monitoring tourists' real-time health status and mood.

[0032] The travel plan generation unit generates a plan that incorporates the opinions of the tourist's family and friends, making it possible to accommodate group trips. For example, the generation AI of the travel plan generation unit collects the opinions of the tourist's family and friends and generates a travel plan based on them. For example, it proposes activities that reflect the preferences and wishes of everyone in the group. The travel plan generation unit also reflects the opinions of family and friends in real time and dynamically adjusts the travel plan. For example, it promotes the exchange of opinions within the group and proposes a plan that will satisfy everyone. The travel plan generation unit also generates a plan for a group trip that incorporates the opinions of each member in a balanced manner. For example, it proposes a plan that combines activities for children and activities for adults. This makes it possible to accommodate group trips by generating a plan that incorporates the opinions of the tourist's family and friends.

[0033] The travel plan generation unit can provide a plan that coincides with holidays and special events in the tourist's home country. For example, the generation AI considers holidays and special events in the tourist's home country and provides a travel plan that coincides with them. For example, it suggests special dinners and events that coincide with holidays in the tourist's home country. The travel plan generation unit also suggests activities that reflect the culture and traditions of the tourist's home country. For example, it suggests events and activities in Japan that are related to holidays in the tourist's home country. The travel plan generation unit also adjusts the plan to coincide with holidays and special events in the tourist's home country so that the tourist can have a special experience. For example, it suggests special tours and events that coincide with holidays in the tourist's home country. This makes it possible to provide a plan that coincides with holidays and special events in the tourist's home country.

[0034] The activity suggestion unit can analyze real-time location information of tourists and suggest optimal routes. For example, the generation AI in the activity suggestion unit analyzes real-time location information of tourists and suggests optimal sightseeing routes. For example, it suggests the tourist spots and activities closest to the current location. The activity suggestion unit also suggests routes to avoid crowds based on the tourist's location information. For example, it analyzes congestion situations in real time and suggests less crowded tourist spots. The activity suggestion unit also uses real-time location information to generate routes that allow tourists to tour efficiently. For example, it optimizes the order of visits and suggests routes that shorten travel time. This makes it possible to analyze real-time location information of tourists and suggest optimal routes.

[0035] The activity suggestion unit can suggest restaurants and cafes by taking into account the tourist's food preferences and allergy information. For example, the activity suggestion unit uses a generation AI to analyze the tourist's food preferences and allergy information and suggest restaurants and cafes based on that. For example, it suggests restaurants that have vegetarian or gluten-free menus. The activity suggestion unit also suggests restaurants that serve local specialties and famous dishes based on the tourist's food preferences. For example, it suggests restaurants where you can enjoy Japanese cuisine such as sushi and tempura. The activity suggestion unit also suggests restaurants where you can eat safely by taking into account allergy information. For example, it suggests restaurants that have nut-free menus for tourists with nut allergies. In this way, it is possible to suggest appropriate restaurants and cafes by taking into account the tourist's food preferences and allergy information.

[0036] The activity suggestion unit can provide tourists with information about the history and culture of the destination they are visiting and suggest plans that include learning elements. For example, the activity suggestion unit uses the generation AI to provide information about the history and culture of the destination they are visiting and suggests plans that include learning elements based on that information. For example, it can suggest plans to visit historical buildings and museums. The activity suggestion unit also suggests activities that allow tourists to learn about the culture and traditions of the destination they are visiting. For example, it can suggest experience classes in tea ceremony or calligraphy. The activity suggestion unit also provides information about the history and culture of the destination they are visiting to enable tourists to gain a deeper understanding. For example, it can suggest guided tours or audio guides. This makes it possible to provide tourists with information about the history and culture of the destination they are visiting and suggest plans that include learning elements.

[0037] The activity suggestion unit can analyze weather information at the tourist's destination in real time and suggest activities that suit the weather. For example, the generation AI of the activity suggestion unit analyzes weather information at the tourist's destination in real time and suggests activities based on that information. For example, indoor tourist spots are suggested on rainy days. The activity suggestion unit also suggests activities that tourists can enjoy comfortably based on the weather information. For example, on hot days, it suggests cool places or waterside activities. The activity suggestion unit also dynamically adjusts the sightseeing plan in response to changes in the weather. For example, if the weather worsens, it changes the plan and suggests a different activity. This makes it possible to analyze weather information at the tourist's destination in real time and suggest activities that suit the weather.

[0038] The souvenir generation unit can analyze tourists' photos and propose optimal layouts and designs. For example, the generation AI in the souvenir generation unit analyzes tourists' photos and proposes optimal layouts and designs. For example, it automatically generates beautiful album layouts based on the colors and composition of the photos. The souvenir generation unit also classifies tourists' photos by theme and proposes layouts. For example, it organizes photos by tourist destination or activity and proposes a unified design. The generation AI in the souvenir generation unit also analyzes tourists' photos and matches them to specific design templates. For example, it selects a design template that matches the theme of the trip and automatically arranges the photos. This allows the souvenir generation unit to analyze tourists' photos and propose optimal layouts and designs.

[0039] The souvenir generation unit can automatically generate captions for tourists' photos and add them to an album. For example, the generation AI in the souvenir generation unit analyzes tourists' photos and automatically generates captions based on the content of the photos. For example, it recognizes the places and people in the photos and adds appropriate captions. The souvenir generation unit also generates captions for tourists' photos that reflect travel episodes and memories. For example, it automatically generates captions related to specific events or experiences. The souvenir generation unit also analyzes tourists' photos with the generation AI and generates emotive captions based on emotion estimation data. For example, it adds a caption such as "fun time" to a photo of a smiling person. This allows captions to be automatically generated for tourists' photos and added to an album.

[0040] The souvenir generation unit can analyze tourists' photos and automatically generate videos and slideshows. For example, the souvenir generation unit uses a generation AI to analyze tourists' photos and automatically generate videos and slideshows arranged in the optimal order. For example, it creates a video summarizing the highlights of the trip. The souvenir generation unit also classifies tourists' photos by theme and generates slideshows based on that. For example, it creates slideshows for each tourist attraction or activity. The souvenir generation unit also uses a generation AI to analyze tourists' photos and automatically generate videos with music and sound effects added. For example, it selects music that matches the atmosphere of the trip and edits it to match the photos. In this way, it is possible to analyze tourists' photos and automatically generate videos and slideshows.

[0041] The souvenir generation unit can analyze tourist photos and automatically generate posts optimized for social media. For example, the generation AI in the souvenir generation unit analyzes tourist photos and automatically generates posts optimized for social media. For example, it adjusts the size and format of the photos and adds captions. The souvenir generation unit also analyzes tourist photos and generates posts that match social media trends. For example, it creates posts that apply popular hashtags and filters. The souvenir generation unit also analyzes tourist photos and generates emotionally rich posts based on emotion estimation data. For example, it adds captions that evoke positive emotions and posts them on social media. In this way, it is possible to analyze tourist photos and automatically generate posts optimized for social media.

[0042] The roaming collaboration unit can analyze tourists' communication data and propose the optimal communication plan. In the roaming collaboration unit, for example, the generation AI analyzes tourists' communication data and proposes the optimal communication plan. For example, it selects the optimal plan based on data usage and call time. The roaming collaboration unit also proposes cost-effective communication plans based on tourists' communication data. For example, it proposes a high-capacity plan if data usage is high. The roaming collaboration unit also analyzes tourists' communication data and proposes plans with high communication quality. For example, it selects a plan that takes communication speed and coverage area into consideration. This makes it possible to analyze tourists' communication data and propose the optimal communication plan.

[0043] The roaming linkage unit can analyze tourists' communication data and provide alerts according to data usage. For example, the generation AI in the roaming linkage unit analyzes tourists' communication data and provides alerts according to data usage. For example, it sends a notification if data usage exceeds a certain threshold. The roaming linkage unit also monitors tourists' communication data in real time and provides alerts if data usage suddenly increases. For example, it sends a warning if it detects abnormal data usage. The roaming linkage unit also analyzes tourists' communication data and suggests changing to the optimal communication plan based on data usage. For example, if data usage is high, it suggests changing to a high-capacity plan. This makes it possible to analyze tourists' communication data and provide alerts according to data usage.

[0044] The roaming collaboration unit can analyze tourists' communication data and provide tourist information and event information for the destinations they visit. For example, the generation AI in the roaming collaboration unit analyzes tourists' communication data and provides tourist information and event information for the destinations they visit. For example, it can suggest nearby tourist spots and events based on their current location. The roaming collaboration unit also provides tourist information tailored to the tourists' interests and concerns based on their communication data. For example, it can suggest events and activities in a specific genre. The roaming collaboration unit also analyzes tourists' communication data and provides tourist information and event information that is updated in real time. For example, it can notify the tourists of the latest event information and the congestion status of tourist spots. This makes it possible to analyze tourists' communication data and provide tourist information and event information for the destinations they visit.

[0045] The roaming collaboration unit can analyze tourists' communication data and provide information to promote interaction with local residents of the destinations they visit. For example, the generation AI in the roaming collaboration unit analyzes tourists' communication data and provides information to promote interaction with local residents of the destinations they visit. For example, it can suggest information about local events and social gatherings. The roaming collaboration unit can also suggest activities that allow tourists to enjoy interaction with local residents based on their communication data. For example, it can suggest a plan to experience local home cooking. The roaming collaboration unit can also analyze tourists' communication data and provide information in real time to deepen interaction with local residents. For example, it can suggest a workshop to learn about local culture and traditions. In this way, the generation AI can analyze tourists' communication data and provide information to promote interaction with local residents of the destinations they visit.

[0046] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0047] The travel support system can further include a health management unit that monitors the health status of tourists. The health management unit collects health data from tourists and provides advice to reduce health risks during travel. For example, if a tourist has high blood pressure, the health management unit can suggest a reasonable schedule. The health management unit can also guide tourists to nearby medical institutions if they become ill during their trip. Furthermore, the health management unit can take into account tourists' dietary restrictions and allergies and suggest appropriate restaurants. This allows tourists' health status to be monitored, allowing them to enjoy their trip with peace of mind.

[0048] The travel support system can further include a cultural adaptation unit that takes into account the cultural background of tourists. The cultural adaptation unit takes into account the culture and customs of the tourist's home country and suggests appropriate activities and tourist spots. For example, if a tourist wants to avoid certain places for religious reasons, the cultural adaptation unit can adjust the plan based on that information. The cultural adaptation unit can also suggest events and restaurants where tourists can experience the culture of their home country. Furthermore, the cultural adaptation unit can provide guidebooks and audio guides to help tourists understand Japanese culture. This makes it possible to provide travel plans that take into account the tourist's cultural background.

[0049] The travel assistance system may further include an opinion collection unit that incorporates the opinions of the tourist's family and friends. The opinion collection unit collects opinions from the tourist's family and friends and generates a travel plan based on them. For example, it may suggest activities that the whole family can enjoy. The opinion collection unit may also reflect the opinions of family and friends in real time and dynamically adjust the travel plan. For example, it may encourage opinion exchange within the family and suggest a plan that will satisfy everyone. Furthermore, the opinion collection unit may generate a plan that incorporates the opinions of family and friends in a balanced manner. This makes it possible to provide a plan that incorporates the opinions of the tourist's family and friends.

[0050] The travel assistance system may further include a holiday handling unit that provides plans tailored to holidays and special events in the tourist's home country. The holiday handling unit takes into account holidays and special events in the tourist's home country and provides a travel plan tailored to them. For example, it may suggest special dinners or events that coincide with holidays in the tourist's home country. The holiday handling unit may also suggest activities that reflect the culture and traditions of the tourist's home country. For example, it may suggest Japanese events or activities related to holidays in the tourist's home country. Furthermore, the holiday handling unit may adjust the plan to coincide with holidays and special events in the tourist's home country so that the tourist can have a special experience. This makes it possible to provide a plan tailored to holidays and special events in the tourist's home country.

[0051] The travel support system can further include a location information analysis unit that analyzes real-time location information of tourists. The location information analysis unit analyzes real-time location information of tourists and proposes optimal sightseeing routes. For example, it proposes tourist spots and activities that are closest to the current location. The location information analysis unit can also propose routes to avoid crowds based on the tourist's location information. For example, it can analyze congestion situations in real time and propose less crowded tourist spots. Furthermore, the location information analysis unit can also use real-time location information to generate routes that allow tourists to tour efficiently. This makes it possible to analyze real-time location information of tourists and propose optimal routes.

[0052] The travel support system can further include a meal suggestion unit that takes into account the tourist's food preferences and allergy information. The meal suggestion unit analyzes the tourist's food preferences and allergy information and suggests restaurants and cafes based on that. For example, it suggests restaurants that have vegetarian or gluten-free menus. The meal suggestion unit can also suggest restaurants that serve local specialties and famous dishes based on the tourist's food preferences. For example, it can suggest restaurants where you can enjoy Japanese cuisine such as sushi and tempura. Furthermore, the meal suggestion unit can also take into account allergy information and suggest restaurants where you can eat safely. In this way, it is possible to suggest appropriate restaurants and cafes that take into account the tourist's food preferences and allergy information.

[0053] The travel support system can further include a cultural information providing unit that provides information about the history and culture of the destinations visited by tourists. The cultural information providing unit provides information about the history and culture of the destinations visited by tourists and, based on that information, proposes plans that include learning elements. For example, it proposes plans to visit historical buildings and museums. The cultural information providing unit can also propose activities that allow tourists to learn about the culture and traditions of the destinations visited. For example, it can propose experience classes in tea ceremony or calligraphy. Furthermore, the cultural information providing unit can provide information about the history and culture of the destinations visited to help tourists gain a deeper understanding. This makes it possible to provide information about the history and culture of the destinations visited by tourists and propose plans that include learning elements.

[0054] The processing flow of the first embodiment will be briefly explained below.

[0055] Step 1: The travel plan generation unit analyzes information on tourists' preferences, interests, length of stay, and budget, and generates a customized real-time travel plan based on that information. For example, it proposes the optimal travel plan based on the tourist's survey results and past travel history. It can also generate plans based on the tourist's budget. Step 2: The activity suggestion unit suggests activities and tourist spots that match the destinations based on the travel plan generated by the travel plan generation unit. For example, it suggests optimal activities based on the season and event information of the area the tourist is visiting. It can also suggest tourist spots that match the tourist's interests. Step 3: The souvenir generator saves the photos and experiences taken during the trip as souvenirs and provides them as digital or paper albums. For example, it can automatically organize the photos taken by tourists and create albums with beautiful layouts. It can also provide customized albums based on the tourists' experiences. Step 4: The Roaming Collaboration Department will cooperate with telecommunications carriers and local governments in the service area through international roaming service agreements. For example, to ensure that tourists can comfortably use the Internet within Japan, the department will work with telecommunications carriers to provide roaming services. It will also be able to cooperate with local governments to provide tourist and event information.

[0056] (Example 2) The travel support system according to the embodiment of the present invention is a system that makes foreign tourists' stay in Japan special and provides them with a comfortable travel experience and memorable memories. As a result, the travel support system can make foreign tourists' stay in Japan special and provides them with a comfortable travel experience and memorable memories.

[0057] A travel support system according to an embodiment includes an itinerary generation unit, an activity suggestion unit, a souvenir generation unit, and a roaming linkage unit. The itinerary generation unit analyzes information on a tourist's preferences, interests, length of stay, and budget, and generates a customized real-time itinerary based on the analysis. For example, the itinerary generation unit suggests an optimal itinerary based on the tourist's survey results and past travel history. The itinerary generation unit can also generate a plan based on the tourist's budget. The activity suggestion unit suggests activities and tourist spots tailored to the destinations to be visited based on the itinerary generated by the itinerary generation unit. For example, the activity suggestion unit suggests optimal activities based on seasonal and event information in the area the tourist is visiting. The activity suggestion unit can also suggest tourist spots based on the tourist's interests. The souvenir generation unit saves photos taken during the trip and experiences as souvenirs and provides them as electronic data albums or paper albums. For example, the souvenir generation unit automatically organizes photos taken by the tourist and creates an album with a beautiful layout. The souvenir generation unit can also provide a customized album based on the tourist's experiences. The roaming cooperation unit cooperates with telecommunications carriers and local governments in the service area through cooperation with international roaming service agreements. For example, the roaming cooperation unit cooperates with telecommunications carriers to provide roaming services so that tourists can comfortably use the Internet within Japan. The roaming cooperation unit can also cooperate with local governments to provide tourist information and event information. As a result, the travel support system according to the embodiment can make foreign tourists' stay in Japan special and provide them with a comfortable travel experience and memorable memories.

[0058] The travel plan generation unit can analyze tourists' past travel history and social media posts to provide more personalized travel plans. For example, the travel plan generation unit uses a generation AI to analyze tourists' past travel history to understand their preferences for destinations and activities. For example, it can suggest similar experiences based on data on tourist spots visited in the past and events attended. The travel plan generation unit also analyzes social media posts to identify tourists' interests. For example, it can extract tourist-favorite scenery and activities from posted photos and comments and generate a travel plan based on that. The travel plan generation unit also integrates tourists' past travel history with social media data to provide more accurate personalized travel plans. For example, it can suggest the next travel destination based on ratings and impressions of past travel destinations. In this way, more personalized travel plans can be provided by analyzing tourists' past travel history and social media posts.

[0059] The travel plan generation unit can monitor tourists' real-time health status and mood using sensors and adjust the travel plan based on that information. For example, the travel plan generation unit collects data from wearable devices so that the generation AI can monitor tourists' health status. For example, the travel plan generation unit proposes a reasonable travel plan based on data such as heart rate, step count, and sleep status. The travel plan generation unit also utilizes smartphone sensors to monitor tourists' moods. For example, it can analyze tourists' moods using voice tone or facial expression recognition technology and propose activities accordingly. The travel plan generation unit also analyzes health status and mood data in real time and dynamically adjusts the travel plan. For example, if tourists are tired, it can propose relaxing activities, and if they are energetic, it can propose active activities. This allows the travel plan to be dynamically adjusted by monitoring tourists' real-time health status and mood.

[0060] The travel plan generation unit can use the emotion estimation function to analyze the emotional state of tourists in real time and propose a plan that elicits positive emotions. The travel plan generation unit, for example, uses the emotion estimation function to analyze the tourist's facial expressions and voice to grasp the tourist's emotional state in real time. For example, if a smile or an excited voice is detected, the travel plan generation unit suggests more enjoyable activities. The travel plan generation unit also suggests activities that will elicit positive emotions based on the tourist's emotional state. For example, if the tourist wants to relax, it suggests hot springs or massages, and if the tourist wants excitement, it suggests adventure sports. The travel plan generation unit also re-suggests activities that tourists have previously enjoyed based on the emotion estimation data. For example, it re-suggests activities that tourists have previously enjoyed to elicit positive emotions. In this way, the emotional state of tourists can be analyzed in real time and a plan that will elicit positive emotions can be proposed.

[0061] The travel plan generation unit generates a plan that incorporates the opinions of the tourist's family and friends, making it possible to accommodate group trips. For example, the generation AI of the travel plan generation unit collects the opinions of the tourist's family and friends and generates a travel plan based on them. For example, it proposes activities that reflect the preferences and wishes of everyone in the group. The travel plan generation unit also reflects the opinions of family and friends in real time and dynamically adjusts the travel plan. For example, it promotes the exchange of opinions within the group and proposes a plan that will satisfy everyone. The travel plan generation unit also generates a plan for a group trip that incorporates the opinions of each member in a balanced manner. For example, it proposes a plan that combines activities for children and activities for adults. This makes it possible to accommodate group trips by generating a plan that incorporates the opinions of the tourist's family and friends.

[0062] The travel plan generation unit can provide a plan that coincides with holidays and special events in the tourist's home country. For example, the generation AI considers holidays and special events in the tourist's home country and provides a travel plan that coincides with them. For example, it suggests special dinners and events that coincide with holidays in the tourist's home country. The travel plan generation unit also suggests activities that reflect the culture and traditions of the tourist's home country. For example, it suggests events and activities in Japan that are related to holidays in the tourist's home country. The travel plan generation unit also adjusts the plan to coincide with holidays and special events in the tourist's home country so that the tourist can have a special experience. For example, it suggests special tours and events that coincide with holidays in the tourist's home country. This makes it possible to provide a plan that coincides with holidays and special events in the tourist's home country.

[0063] The travel plan generation unit can use the emotion estimation function to analyze the emotions of local residents in places visited by tourists and propose plans to promote interaction between tourists and local residents. The travel plan generation unit, for example, uses the emotion estimation function to analyze the emotions of local residents in places visited by tourists and proposes plans to promote interaction between tourists and local residents. For example, it proposes a plan to participate in local festivals and events. The travel plan generation unit also proposes activities that allow tourists to have positive interactions with local residents based on the emotion data of local residents. For example, it proposes a plan to experience local home cooking. The travel plan generation unit also integrates the emotion data of tourists and local residents to generate an interaction plan that satisfies both parties. For example, it proposes a workshop to learn about local culture and traditions. In this way, it is possible to propose a plan to promote interaction between tourists and local residents.

[0064] The activity suggestion unit can analyze real-time location information of tourists and suggest optimal routes. For example, the generation AI in the activity suggestion unit analyzes real-time location information of tourists and suggests optimal sightseeing routes. For example, it suggests the tourist spots and activities closest to the current location. The activity suggestion unit also suggests routes to avoid crowds based on the tourist's location information. For example, it analyzes congestion situations in real time and suggests less crowded tourist spots. The activity suggestion unit also uses real-time location information to generate routes that allow tourists to tour efficiently. For example, it optimizes the order of visits and suggests routes that shorten travel time. This makes it possible to analyze real-time location information of tourists and suggest optimal routes.

[0065] The activity suggestion unit can suggest restaurants and cafes by taking into account the tourist's food preferences and allergy information. For example, the activity suggestion unit uses a generation AI to analyze the tourist's food preferences and allergy information and suggest restaurants and cafes based on that. For example, it suggests restaurants that have vegetarian or gluten-free menus. The activity suggestion unit also suggests restaurants that serve local specialties and famous dishes based on the tourist's food preferences. For example, it suggests restaurants where you can enjoy Japanese cuisine such as sushi and tempura. The activity suggestion unit also suggests restaurants where you can eat safely by taking into account allergy information. For example, it suggests restaurants that have nut-free menus for tourists with nut allergies. In this way, it is possible to suggest appropriate restaurants and cafes by taking into account the tourist's food preferences and allergy information.

[0066] The activity suggestion unit can use the emotion estimation function to suggest activities that correspond to the tourist's emotional state. For example, the activity suggestion unit uses the emotion estimation function to analyze the tourist's emotional state in real time and suggest activities that correspond to the emotional state. For example, if the tourist wants to relax, it suggests a hot spring or a massage. The activity suggestion unit also suggests activities that elicit positive emotions based on the tourist's emotional state. For example, if the tourist wants to get excited, it suggests adventure sports. The activity suggestion unit also re-suggests activities that the tourist has previously felt positive about, based on the emotion estimation data. For example, it re-suggests activities that the tourist has previously enjoyed, to elicit positive emotions. This makes it possible to suggest activities that correspond to the tourist's emotional state.

[0067] The activity suggestion unit can provide tourists with information about the history and culture of the destination they are visiting and suggest plans that include learning elements. For example, the activity suggestion unit uses the generation AI to provide information about the history and culture of the destination they are visiting and suggests plans that include learning elements based on that information. For example, it can suggest plans to visit historical buildings and museums. The activity suggestion unit also suggests activities that allow tourists to learn about the culture and traditions of the destination they are visiting. For example, it can suggest experience classes in tea ceremony or calligraphy. The activity suggestion unit also provides information about the history and culture of the destination they are visiting to enable tourists to gain a deeper understanding. For example, it can suggest guided tours or audio guides. This makes it possible to provide tourists with information about the history and culture of the destination they are visiting and suggest plans that include learning elements.

[0068] The activity suggestion unit can analyze weather information at the tourist's destination in real time and suggest activities that suit the weather. For example, the generation AI of the activity suggestion unit analyzes weather information at the tourist's destination in real time and suggests activities based on that information. For example, indoor tourist spots are suggested on rainy days. The activity suggestion unit also suggests activities that tourists can enjoy comfortably based on the weather information. For example, on hot days, it suggests cool places or waterside activities. The activity suggestion unit also dynamically adjusts the sightseeing plan in response to changes in the weather. For example, if the weather worsens, it changes the plan and suggests a different activity. This makes it possible to analyze weather information at the tourist's destination in real time and suggest activities that suit the weather.

[0069] The activity suggestion unit can use the emotion estimation function to analyze the emotions of local residents in places visited by tourists and suggest activities that promote interaction between tourists and local residents. For example, the activity suggestion unit can use the emotion estimation function to analyze the emotions of local residents in places visited by tourists and suggest activities that promote interaction between tourists and local residents. For example, it can suggest plans to participate in local festivals and events. The activity suggestion unit can also suggest activities that allow tourists to have positive interactions with local residents based on the emotion data of local residents. For example, it can suggest a plan to experience local home cooking. The activity suggestion unit can also integrate the emotion data of tourists and local residents to generate an interaction plan that satisfies both parties. For example, it can suggest a workshop to learn about local culture and traditions. This makes it possible to suggest activities that promote interaction between tourists and local residents.

[0070] The souvenir generation unit can analyze tourists' photos and propose optimal layouts and designs. For example, the generation AI in the souvenir generation unit analyzes tourists' photos and proposes optimal layouts and designs. For example, it automatically generates beautiful album layouts based on the colors and composition of the photos. The souvenir generation unit also classifies tourists' photos by theme and proposes layouts. For example, it organizes photos by tourist destination or activity and proposes a unified design. The generation AI in the souvenir generation unit also analyzes tourists' photos and matches them to specific design templates. For example, it selects a design template that matches the theme of the trip and automatically arranges the photos. This allows the souvenir generation unit to analyze tourists' photos and propose optimal layouts and designs.

[0071] The souvenir generation unit can automatically generate captions for tourists' photos and add them to an album. For example, the generation AI in the souvenir generation unit analyzes tourists' photos and automatically generates captions based on the content of the photos. For example, it recognizes the places and people in the photos and adds appropriate captions. The souvenir generation unit also generates captions for tourists' photos that reflect travel episodes and memories. For example, it automatically generates captions related to specific events or experiences. The souvenir generation unit also analyzes tourists' photos with the generation AI and generates emotive captions based on emotion estimation data. For example, it adds a caption such as "fun time" to a photo of a smiling person. This allows captions to be automatically generated for tourists' photos and added to an album.

[0072] The souvenir generation unit can use the emotion estimation function to suggest photo selection and layout according to the tourist's emotional state. The souvenir generation unit, for example, uses the emotion estimation function to analyze the tourist's emotional state and suggest photo selection and layout accordingly. For example, photos with strong positive emotions are preferentially selected. The souvenir generation unit also suggests an emotionally rich layout based on the tourist's emotional state. For example, it automatically generates a layout that emphasizes moving moments. The souvenir generation unit also selects photos that tourists most emotionally identify with based on the emotion estimation data and suggests a layout that matches them. For example, it places photos that evoke specific emotions in the center. This makes it possible to suggest photo selection and layout according to the tourist's emotional state.

[0073] The souvenir generation unit can analyze tourists' photos and automatically generate videos and slideshows. For example, the souvenir generation unit uses a generation AI to analyze tourists' photos and automatically generate videos and slideshows arranged in the optimal order. For example, it creates a video summarizing the highlights of the trip. The souvenir generation unit also classifies tourists' photos by theme and generates slideshows based on that. For example, it creates slideshows for each tourist attraction or activity. The souvenir generation unit also uses a generation AI to analyze tourists' photos and automatically generate videos with music and sound effects added. For example, it selects music that matches the atmosphere of the trip and edits it to match the photos. In this way, it is possible to analyze tourists' photos and automatically generate videos and slideshows.

[0074] The souvenir generation unit can analyze tourist photos and automatically generate posts optimized for social media. For example, the generation AI in the souvenir generation unit analyzes tourist photos and automatically generates posts optimized for social media. For example, it adjusts the size and format of the photos and adds captions. The souvenir generation unit also analyzes tourist photos and generates posts that match social media trends. For example, it creates posts that apply popular hashtags and filters. The souvenir generation unit also analyzes tourist photos and generates emotionally rich posts based on emotion estimation data. For example, it adds captions that evoke positive emotions and posts them on social media. In this way, it is possible to analyze tourist photos and automatically generate posts optimized for social media.

[0075] The souvenir generation unit can use the emotion estimation function to generate a video to which music and sound effects corresponding to the tourist's emotional state have been added. The souvenir generation unit, for example, uses the emotion estimation function to analyze the tourist's emotional state and generate a video to which music and sound effects corresponding to the tourist's emotional state have been added. For example, emotional music is added to emotional moments. The souvenir generation unit also selects emotionally rich music and sound effects based on the tourist's emotional state and adds them to the video. For example, cheerful music is added to happy moments. The souvenir generation unit also selects music and sound effects that the tourist most emotionally identifies with based on the emotion estimation data and generates a video that matches them. For example, the editing is centered around music that evokes specific emotions. In this way, a video to which music and sound effects corresponding to the tourist's emotional state have been added can be generated.

[0076] The roaming collaboration unit can analyze tourists' communication data and propose the optimal communication plan. In the roaming collaboration unit, for example, the generation AI analyzes tourists' communication data and proposes the optimal communication plan. For example, it selects the optimal plan based on data usage and call time. The roaming collaboration unit also proposes cost-effective communication plans based on tourists' communication data. For example, it proposes a high-capacity plan if data usage is high. The roaming collaboration unit also analyzes tourists' communication data and proposes plans with high communication quality. For example, it selects a plan that takes communication speed and coverage area into consideration. This makes it possible to analyze tourists' communication data and propose the optimal communication plan.

[0077] The roaming linkage unit can analyze tourists' communication data and provide alerts according to data usage. For example, the generation AI in the roaming linkage unit analyzes tourists' communication data and provides alerts according to data usage. For example, it sends a notification if data usage exceeds a certain threshold. The roaming linkage unit also monitors tourists' communication data in real time and provides alerts if data usage suddenly increases. For example, it sends a warning if it detects abnormal data usage. The roaming linkage unit also analyzes tourists' communication data and suggests changing to the optimal communication plan based on data usage. For example, if data usage is high, it suggests changing to a high-capacity plan. This makes it possible to analyze tourists' communication data and provide alerts according to data usage.

[0078] The roaming cooperation unit can use the emotion estimation function to propose communication plans and provide alerts according to the tourist's emotional state. For example, the roaming cooperation unit uses the emotion estimation function to analyze the tourist's emotional state and propose communication plans and provide alerts accordingly. For example, if the tourist is feeling stressed, it proposes a change to the communication plan. The roaming cooperation unit also proposes communication plans that elicit positive emotions based on the tourist's emotional state. For example, it proposes a plan that provides a comfortable communication environment. The roaming cooperation unit also selects the communication plan that will most satisfy the tourist based on the emotion estimation data and provides an alert accordingly. For example, it sends an alert if communication quality deteriorates. This makes it possible to propose communication plans and provide alerts according to the tourist's emotional state.

[0079] The roaming collaboration unit can analyze tourists' communication data and provide tourist information and event information for the destinations they visit. For example, the generation AI in the roaming collaboration unit analyzes tourists' communication data and provides tourist information and event information for the destinations they visit. For example, it can suggest nearby tourist spots and events based on their current location. The roaming collaboration unit also provides tourist information tailored to the tourists' interests and concerns based on their communication data. For example, it can suggest events and activities in a specific genre. The roaming collaboration unit also analyzes tourists' communication data and provides tourist information and event information that is updated in real time. For example, it can notify the tourists of the latest event information and the congestion status of tourist spots. This makes it possible to analyze tourists' communication data and provide tourist information and event information for the destinations they visit.

[0080] The roaming collaboration unit can analyze tourists' communication data and provide information to promote interaction with local residents of the destinations they visit. For example, the generation AI in the roaming collaboration unit analyzes tourists' communication data and provides information to promote interaction with local residents of the destinations they visit. For example, it can suggest information about local events and social gatherings. The roaming collaboration unit can also suggest activities that allow tourists to enjoy interaction with local residents based on their communication data. For example, it can suggest a plan to experience local home cooking. The roaming collaboration unit can also analyze tourists' communication data and provide information in real time to deepen interaction with local residents. For example, it can suggest a workshop to learn about local culture and traditions. In this way, the generation AI can analyze tourists' communication data and provide information to promote interaction with local residents of the destinations they visit.

[0081] The roaming cooperation unit can use the emotion estimation function to propose communication plans and provide alerts according to the tourist's emotional state. For example, the roaming cooperation unit uses the emotion estimation function to analyze the tourist's emotional state and propose communication plans and provide alerts accordingly. For example, if the tourist is feeling stressed, it proposes a change to the communication plan. The roaming cooperation unit also proposes communication plans that elicit positive emotions based on the tourist's emotional state. For example, it proposes a plan that provides a comfortable communication environment. The roaming cooperation unit also selects the communication plan that will most satisfy the tourist based on the emotion estimation data and provides an alert accordingly. For example, it sends an alert if communication quality deteriorates. This makes it possible to propose communication plans and provide alerts according to the tourist's emotional state.

[0082] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0083] The travel support system can further include a health management unit that monitors the health status of tourists. The health management unit collects health data from tourists and provides advice to reduce health risks during travel. For example, if a tourist has high blood pressure, the health management unit can suggest a reasonable schedule. The health management unit can also guide tourists to nearby medical institutions if they become ill during their trip. Furthermore, the health management unit can take into account tourists' dietary restrictions and allergies and suggest appropriate restaurants. This allows tourists' health status to be monitored, allowing them to enjoy their trip with peace of mind.

[0084] The travel support system can further include a cultural adaptation unit that takes into account the cultural background of tourists. The cultural adaptation unit takes into account the culture and customs of the tourist's home country and suggests appropriate activities and tourist spots. For example, if a tourist wants to avoid certain places for religious reasons, the cultural adaptation unit can adjust the plan based on that information. The cultural adaptation unit can also suggest events and restaurants where tourists can experience the culture of their home country. Furthermore, the cultural adaptation unit can provide guidebooks and audio guides to help tourists understand Japanese culture. This makes it possible to provide travel plans that take into account the tourist's cultural background.

[0085] The travel support system can further include an emotion estimation unit that analyzes the real-time emotional state of tourists. The emotion estimation unit analyzes the tourist's facial expressions and voice to grasp the tourist's emotional state in real time. For example, if the tourist is tired, it can suggest a relaxing activity. The emotion estimation unit can also suggest an activity that will elicit positive emotions based on the tourist's emotional state. For example, if the tourist is excited, it can suggest adventure sports. Furthermore, the emotion estimation unit can also re-suggest activities that have previously elicited positive emotions based on the tourist's emotional data. This makes it possible to analyze the tourist's emotional state in real time and suggest optimal activities.

[0086] The travel assistance system may further include an opinion collection unit that incorporates the opinions of the tourist's family and friends. The opinion collection unit collects opinions from the tourist's family and friends and generates a travel plan based on them. For example, it may suggest activities that the whole family can enjoy. The opinion collection unit may also reflect the opinions of family and friends in real time and dynamically adjust the travel plan. For example, it may encourage opinion exchange within the family and suggest a plan that will satisfy everyone. Furthermore, the opinion collection unit may generate a plan that incorporates the opinions of family and friends in a balanced manner. This makes it possible to provide a plan that incorporates the opinions of the tourist's family and friends.

[0087] The travel assistance system may further include a holiday handling unit that provides plans tailored to holidays and special events in the tourist's home country. The holiday handling unit takes into account holidays and special events in the tourist's home country and provides a travel plan tailored to them. For example, it may suggest special dinners or events that coincide with holidays in the tourist's home country. The holiday handling unit may also suggest activities that reflect the culture and traditions of the tourist's home country. For example, it may suggest Japanese events or activities related to holidays in the tourist's home country. Furthermore, the holiday handling unit may adjust the plan to coincide with holidays and special events in the tourist's home country so that the tourist can have a special experience. This makes it possible to provide a plan tailored to holidays and special events in the tourist's home country.

[0088] The travel support system may further include an interaction promotion unit that analyzes the emotional state of tourists and promotes interactions with local residents. The interaction promotion unit analyzes the emotional state of tourists and suggests activities that promote positive interactions with local residents. For example, it may suggest a plan to participate in local festivals and events. The interaction promotion unit may also suggest activities that allow tourists to have positive interactions with local residents based on the emotional data of local residents. For example, it may suggest a plan to experience local home cooking. Furthermore, the interaction promotion unit may integrate the emotional data of tourists and local residents to generate an interaction plan that satisfies both parties. This makes it possible to suggest plans that promote interactions between tourists and local residents.

[0089] The travel support system can further include a location information analysis unit that analyzes real-time location information of tourists. The location information analysis unit analyzes real-time location information of tourists and proposes optimal sightseeing routes. For example, it proposes tourist spots and activities that are closest to the current location. The location information analysis unit can also propose routes to avoid crowds based on the tourist's location information. For example, it can analyze congestion situations in real time and propose less crowded tourist spots. Furthermore, the location information analysis unit can also use real-time location information to generate routes that allow tourists to tour efficiently. This makes it possible to analyze real-time location information of tourists and propose optimal routes.

[0090] The travel support system can further include a meal suggestion unit that takes into account the tourist's food preferences and allergy information. The meal suggestion unit analyzes the tourist's food preferences and allergy information and suggests restaurants and cafes based on that. For example, it suggests restaurants that have vegetarian or gluten-free menus. The meal suggestion unit can also suggest restaurants that serve local specialties and famous dishes based on the tourist's food preferences. For example, it can suggest restaurants where you can enjoy Japanese cuisine such as sushi and tempura. Furthermore, the meal suggestion unit can also take into account allergy information and suggest restaurants where you can eat safely. In this way, it is possible to suggest appropriate restaurants and cafes that take into account the tourist's food preferences and allergy information.

[0091] The travel support system can further include a cultural information providing unit that provides information about the history and culture of the destinations visited by tourists. The cultural information providing unit provides information about the history and culture of the destinations visited by tourists and, based on that information, proposes plans that include learning elements. For example, it proposes plans to visit historical buildings and museums. The cultural information providing unit can also propose activities that allow tourists to learn about the culture and traditions of the destinations visited. For example, it can propose experience classes in tea ceremony or calligraphy. Furthermore, the cultural information providing unit can provide information about the history and culture of the destinations visited to help tourists gain a deeper understanding. This makes it possible to provide information about the history and culture of the destinations visited by tourists and propose plans that include learning elements.

[0092] The travel support system may further include a weather response unit that analyzes the emotional state of tourists and suggests activities based on weather information. The weather response unit analyzes the emotional state of tourists and suggests optimal activities based on weather information. For example, indoor tourist spots may be suggested on rainy days. The weather response unit may also suggest activities that elicit positive emotions according to the weather, based on the emotional state of tourists. For example, cool places or waterside activities may be suggested on hot days. Furthermore, the weather response unit may dynamically adjust the sightseeing plan according to changes in the weather. This makes it possible to analyze the emotional state of tourists and suggest optimal activities based on weather information.

[0093] The processing flow of the second embodiment will be briefly explained below.

[0094] Step 1: The travel plan generation unit analyzes information on tourists' preferences, interests, length of stay, and budget, and generates a customized real-time travel plan based on that information. For example, it proposes the optimal travel plan based on the tourist's survey results and past travel history. It can also generate plans based on the tourist's budget. Step 2: The activity suggestion unit suggests activities and tourist spots that match the destinations based on the travel plan generated by the travel plan generation unit. For example, it suggests optimal activities based on the season and event information of the area the tourist is visiting. It can also suggest tourist spots that match the tourist's interests. Step 3: The souvenir generator saves the photos and experiences taken during the trip as souvenirs and provides them as digital or paper albums. For example, it can automatically organize the photos taken by tourists and create albums with beautiful layouts. It can also provide customized albums based on the tourists' experiences. Step 4: The Roaming Collaboration Department will cooperate with telecommunications carriers and local governments in the service area through international roaming service agreements. For example, to ensure that tourists can comfortably use the Internet within Japan, the department will work with telecommunications carriers to provide roaming services. It will also be able to cooperate with local governments to provide tourist and event information.

[0095] 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.

[0096] 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.

[0097] 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.

[0098] [Second embodiment] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0099] 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.

[0100] 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.

[0101] 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.

[0102] 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.

[0103] 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).

[0104] 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.

[0105] 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.

[0106] 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.

[0107] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0108] In the smart glasses 214, the specific processing is performed by the processor 46. A specific processing program 60 is stored in the storage 50. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. Note that the smart glasses 214 may have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[0109] 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.

[0110] 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.

[0111] 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.

[0112] 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.

[0113] [Third embodiment] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0114] 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.

[0115] 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.

[0116] 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.

[0117] 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.

[0118] 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).

[0119] 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.

[0120] 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.

[0121] 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.

[0122] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0123] In the headset type terminal 314, the identification process is performed by the processor 46. A identification program 60 is stored in the storage 50. The processor 46 reads the identification program 60 from the storage 50 and executes the read identification program 60 on the RAM 48. The identification process is realized by the processor 46 operating as a control unit 46A in accordance with the identification program 60 executed on the RAM 48. Note that the headset type terminal 314 may also have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[0124] 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.

[0125] 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.

[0126] 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.

[0127] 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.

[0128] [Fourth embodiment] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0129] 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.

[0130] 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.

[0131] 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.

[0132] 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.

[0133] 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).

[0134] 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.

[0135] 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.

[0136] 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.

[0137] 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.

[0138] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0139] In the robot 414, the processor 46 performs the identification process. A identification program 60 is stored in the storage 50. The processor 46 reads the identification program 60 from the storage 50 and executes the read identification program 60 on the RAM 48. The identification process is realized by the processor 46 operating as a control unit 46A in accordance with the identification program 60 executed on the RAM 48. The robot 414 may have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[0140] 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.

[0141] 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.

[0142] 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.

[0143] 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.

[0144] 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.

[0145] 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.

[0146] 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.

[0147] 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).

[0148] 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.

[0149] 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."

[0150] 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.

[0151] 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.

[0152] 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.

[0153] 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.

[0154] 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.

[0155] 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.

[0156] 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.

[0157] 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.

[0158] 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.

[0159] 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.

[0160] 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.

[0161] 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]

[0162] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot

Claims

1. a travel plan generation unit that analyzes tourist preferences, interests, length of stay, and budget information and generates a customized real-time travel plan based on the analyzed information; an activity suggestion unit that suggests activities or tourist spots suited to the destinations to be visited based on the travel plan generated by the travel plan generation unit; a souvenir generating unit that stores the photos taken during the trip and the experiences as souvenirs and provides them as an electronic data album or a paper album; The company also has a roaming cooperation department that cooperates with telecommunications carriers and local governments in service areas through international roaming service agreements. A system characterized by:

2. The travel plan generation unit Analyze the emotional state of the tourist in real time and propose a plan that will elicit positive emotions 2. The system of claim 1.

3. The activity suggestion unit Analyze the tourist's real-time location information and suggest the best route 2. The system of claim 1.

4. The souvenir generation unit Analyzing the photographs of the tourists and proposing optimal layouts or designs 2. The system of claim 1.

5. The roaming cooperation unit Analyze the tourist's communication data and propose the optimal communication plan 2. The system of claim 1.

6. The activity suggestion unit Suggesting the activity according to the tourist's emotional state 2. The system of claim 1.

7. The souvenir generation unit Suggesting a selection or layout of the photos according to the tourist's emotional state 2. The system of claim 1.

8. The roaming cooperation unit Providing communication plan suggestions or alerts according to the tourist's emotional state 2. The system of claim 1.

Images