System

Abstract

An object of a system according to an embodiment is to efficiently generate and re-present a travel plan that meets a user's desire.SOLUTION: A system according to an embodiment includes a user information input unit a travel plan generation unit a travel plan presentation unit and a chat re-presentation unit. The user information input unit inputs user information. The travel plan generation portion generates a travel plan based on the user information input by the user information input portion. The travel plan presentation portion presents the travel plan generated by the travel plan generation portion to the user. The chat re-presentation portion can request the user to re-present the travel plan presented by the travel plan presentation portion in a chat form.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 techniques have had the problem that it is difficult to efficiently generate and re-present a travel plan that meets the user's wishes.

[0005] The system according to the embodiment aims to efficiently generate and re-present a travel plan that meets the user's wishes. [Means for solving the problem]

[0006] The system according to the embodiment includes a user information input unit, a travel plan generation unit, a travel plan presentation unit, and a chat re-presentation unit. The user information input unit inputs user information. The travel plan generation unit generates a travel plan based on the user information input by the user information input unit. The travel plan presentation unit presents the travel plan generated by the travel plan generation unit to the user. The chat re-presentation unit allows the user to request a re-presentation of the travel plan presented by the travel plan presentation unit in chat format. [Effects of the Invention]

[0007] The system according to the embodiment can efficiently generate and present a travel plan that meets the user's wishes. [Brief explanation of the drawings]

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

[0028] (Example 1) The travel plan presentation system according to an embodiment of the present invention is a system in which a user inputs the places they want to go, the things they want to do, their budget, the period, their purpose, and other preferences, and a generation AI generates and presents an optimal travel plan based on this information. This allows the travel plan presentation system to provide an optimal travel plan that meets the user's preferences.

[0029] The travel plan presentation system according to the embodiment includes a user information input unit, a travel plan generation unit, a travel plan presentation unit, and a chat re-presentation unit. The user information input unit inputs the user's desired destinations, activities, budget, duration, purpose, and other preferences. For example, the user inputs information such as "I want to go to Tokyo," "I want to eat delicious sushi," "My budget is 100,000 yen," "My duration is three days," "I'll be sightseeing with three friends," and "I want to go to a hot spring." The travel plan generation unit generates a travel plan based on the user information input by the user information input unit. For example, the generation AI analyzes the user's input information and generates an optimal travel plan. The generation AI can generate the travel plan using a text generation AI (e.g., LLM) or a multimodal generation AI. The travel plan presentation unit presents the travel plan generated by the travel plan generation unit to the user. For example, the travel plan may include specific schedules, tourist spots, recommended restaurants, and accommodations, such as "Day 1: Sightseeing at Tokyo Tower, having a sushi lunch in Ginza, visiting Sensoji Temple, and staying overnight at a hot spring," "Day 2: Spending the day at Disneyland," and "Day 3: Sightseeing at Odaiba and shopping." The chat re-presentation unit allows the user to request a re-presentation of the travel plan presented by the travel plan presentation unit in chat format. For example, the user may communicate requests such as "I want to eat yakiniku instead of sushi lunch" or "I want to go to Ueno Zoo instead of Disneyland" to the generation AI. The generation AI analyzes these requests, re-generates an optimal travel plan, and presents it to the user. In this way, the travel plan presentation system according to the embodiment can generate a travel plan based on the user's wishes, present it, and request a re-presentation.

[0030] The user information input unit can learn the user's past travel history and preferences and automatically complete input information. The user information input unit provides a function to learn, for example, the user's past travel destinations, accommodations, and food preferences, and automatically complete the information when inputting the next travel plan. For example, the unit automatically suggests information about cities and accommodations visited in the past. The user information input unit also automatically suggests favorite tourist spots and activities based on the user's past travel history. For example, if a user has visited a museum in the past, the unit will suggest the museum in the user's next travel plan. The user information input unit also provides a function to learn the user's preferences and automatically complete input information. For example, if a user has liked Japanese food in the past, the unit will suggest a Japanese restaurant in the user's next travel plan. This makes it possible to automatically complete input information based on the user's past travel history and preferences.

[0031] The user information input unit can display weather and event information for a travel destination in real time based on information input by the user. For example, when a user inputs a travel destination, the user information input unit provides a function to display weather information for that area in real time. For example, when Tokyo is input, the weather forecast for Tokyo is displayed. The user information input unit also provides a function to display event information held in that area in real time when a user inputs a travel destination. For example, when Kyoto is input, information about festivals and events held in Kyoto is displayed. The user information input unit also provides a function to display weather and event information for a travel destination in real time based on information input by the user. For example, when Okinawa is input, the weather forecast and event information for Okinawa are displayed. This makes it possible to display weather and event information for a travel destination in real time based on information input by the user.

[0032] The user information input unit can automatically convert what the user has said or photographed into text using voice input or image recognition, and use the text as input information. For example, the user information input unit converts what the user has said or photographed into text using voice recognition technology and uses the text as input information. For example, if the user says, "I want to go to Tokyo," the text is automatically converted into text. The user information input unit also analyzes images taken by the user using image recognition technology and uses the text as input information. For example, if a user takes a photo of a tourist spot, the location is automatically recognized. The user information input unit also automatically converts what the user has said or photographed into text using voice input or image recognition and uses the text as input information. For example, a travel plan can be generated based on what the user has said or photographed. This allows the text to be automatically converted into text and used as input information.

[0033] The user information input unit allows information to be input and shared seamlessly between different devices. For example, the user information input unit provides a function that allows information entered by a user on a smartphone to be seamlessly shared with a tablet or PC. For example, travel destination information entered on a smartphone can be checked on a PC. The user information input unit also provides a function that allows information to be input and shared seamlessly between different devices. For example, budget information entered on a tablet can be checked on a smartphone. The user information input unit also provides a function that allows information to be input and shared seamlessly between a smartphone, tablet, and PC. For example, a travel plan entered on a PC can be checked on a smartphone. This allows information to be input and shared seamlessly between different devices.

[0034] The travel plan generation unit can simultaneously generate multiple different travel plans based on information input by the user, allowing the user to compare and consider them. The travel plan generation unit, for example, simultaneously generates multiple different travel plans based on information input by the user, allowing the user to compare and consider them. For example, a Tokyo sightseeing plan and a Kyoto sightseeing plan are presented simultaneously. The travel plan generation unit also simultaneously generates multiple different travel plans, allowing the user to compare and consider them. For example, plans based on budget and plans based on period are presented simultaneously. The travel plan generation unit also simultaneously generates multiple travel plans based on information input by the user, allowing the user to compare and consider them. For example, a plan that emphasizes tourist spots and a plan that emphasizes meals are presented simultaneously. This allows multiple different travel plans to be simultaneously generated, compared and considered.

[0035] The travel plan generation unit reflects the user's past reviews and ratings in the generated travel plan, thereby providing a more accurate plan. The travel plan generation unit, for example, reflects the user's past reviews and ratings in the generated travel plan. For example, tourist spots and accommodations that have received high ratings in the past are preferentially suggested. The travel plan generation unit also improves the accuracy of the generated travel plan based on the user's past reviews and ratings. For example, spots that have received low ratings in the past are excluded. The travel plan generation unit also reflects the user's past reviews and ratings in the generated travel plan, thereby providing a more accurate plan. For example, restaurants that have been well-received in the past are suggested. This allows the user's past reviews and ratings to be reflected, thereby providing a more accurate plan.

[0036] The travel plan generation unit can provide a customized plan by taking into account the characteristics of different cultures and regions when generating the travel plan. The travel plan generation unit, for example, can provide a customized plan by taking into account the characteristics of different cultures and regions when generating the travel plan. For example, it can incorporate traditional local events and cultural experiences. The travel plan generation unit also customizes the travel plan by taking into account the characteristics of different cultures and regions. For example, it can provide a plan that reflects the food culture and customs of the region. The travel plan generation unit also takes into account the characteristics of the culture and region when generating the travel plan and provides the optimal plan for the user. For example, it can incorporate local festivals and events. This makes it possible to provide a customized plan by taking into account the characteristics of different cultures and regions.

[0037] The travel plan presentation unit can display the generated travel plan on an interactive map, allowing the user to intuitively understand it. The travel plan presentation unit, for example, displays the generated travel plan on an interactive map, allowing the user to intuitively understand it. For example, the locations of tourist spots and accommodations are displayed on the map. The travel plan presentation unit also visually displays the generated travel plan using the interactive map. For example, a tourist route is shown on the map. The travel plan presentation unit also displays the travel plan on an interactive map, allowing the user to intuitively understand it. For example, detailed information about tourist spots is displayed on the map. In this way, the generated travel plan is displayed on the interactive map, allowing the user to intuitively understand it.

[0038] The travel plan presentation unit allows the user to add comments and notes to the presented plan in real time. The travel plan presentation unit, for example, provides a function that allows the user to add comments and notes to the presented travel plan in real time. For example, the user can make notes about their impressions of tourist spots and things to be aware of. The travel plan presentation unit also provides a function that allows the user to add comments and notes to the presented plan in real time. For example, the user can make notes about their reviews of accommodations and their impressions of meals. The travel plan presentation unit also provides a function that allows the user to add comments and notes to the presented travel plan in real time. For example, the user can add notes about things they noticed during the trip or notes for their next trip. This allows the user to add comments and notes in real time.

[0039] The travel plan presentation unit can automatically translate the presented plan into different languages ​​to accommodate international users. The travel plan presentation unit, for example, can automatically translate the presented travel plan into different languages ​​to accommodate international users. For example, it can translate into English, French, Chinese, etc. The travel plan presentation unit also uses an automatic translation function to make the presented travel plan multilingual. For example, it can display the plan in a language selected by the user. The travel plan presentation unit can also automatically translate the presented plan into different languages ​​to accommodate international users. For example, it can provide guidance in the local language of the travel destination. This allows the presented plan to be automatically translated into different languages ​​to accommodate international users.

[0040] The travel plan presentation unit can display the travel plan in visual note or mind map format to make it easier to understand visually. The travel plan presentation unit, for example, displays the travel plan in visual note format to make it easier for the user to understand visually. For example, tourist spots and accommodations are shown with icons. The travel plan presentation unit can also display the travel plan in mind map format to make it easier for the user to understand visually. For example, the schedule for each day is displayed in a branching format. The travel plan presentation unit can also display the travel plan in visual note or mind map format to make it easier for the user to understand visually. For example, the overall picture of the travel plan can be grasped at a glance. In this way, the travel plan can be displayed in visual note or mind map format to make it easier to understand visually.

[0041] The chat re-presentation unit can learn the user's intentions during a chat conversation and reflect them in the generation of subsequent plans. The chat re-presentation unit provides a function of learning the user's intentions during a chat conversation and reflecting them in the generation of subsequent plans. For example, it learns the user's favorite activities. The chat re-presentation unit also learns the user's intentions in a chat conversation and reflects them in the generation of subsequent travel plans. For example, it learns the type of food the user likes. The chat re-presentation unit also provides a function of learning the user's intentions during a chat conversation and reflecting them in the generation of subsequent plans. For example, it learns the user's favorite tourist spots. In this way, the user's intentions can be learned during a chat conversation and reflected in the generation of subsequent plans.

[0042] The chat re-presentation unit can instantly present an alternative to a change proposed by a user during a chat. The chat re-presentation unit provides a function of instantly presenting an alternative to a change proposed by a user during a chat. For example, if a user says, "I want to eat yakiniku instead of sushi lunch," the alternative of a yakiniku restaurant is presented. The chat re-presentation unit also provides a function of instantly presenting an alternative to a change proposed by a user during a chat. For example, if a user says, "I want to go to Ueno Zoo instead of Disneyland," the alternative of Ueno Zoo is presented. The chat re-presentation unit also provides a function of instantly presenting an alternative to a change proposed by a user during a chat. For example, if a user says, "I want to change hotels," the alternative of another hotel is presented. This makes it possible to instantly present an alternative to a change proposed by a user.

[0043] The chat re-presentation unit can incorporate opinions and feedback from other users in real time during a chat. The chat re-presentation unit, for example, provides a function for incorporating opinions and feedback from other users in real time during a chat. For example, the opinions of friends and family are reflected in the chat. The chat re-presentation unit also adds a function for incorporating opinions and feedback from other users in real time. For example, opinions from a travel community are reflected in the chat. The chat re-presentation unit also provides a function for incorporating opinions and feedback from other users in real time during a chat. For example, comments on social media are reflected in the chat. This makes it possible to incorporate opinions and feedback from other users in real time during a chat.

[0044] The travel plan presentation system further includes a travel plan final confirmation unit. The travel plan final confirmation unit provides a function that allows the user to leave a rating or comment on the plan during final confirmation, which is reflected in subsequent plan generation. For example, the user comments on what was good about the plan and what needs to be improved. The travel plan final confirmation unit also provides a function that allows the user to leave a rating or comment on the plan during final confirmation, which is reflected in subsequent plan generation. For example, the user evaluates his or her satisfaction with the plan. The travel plan final confirmation unit also provides a function that allows the user to leave a rating or comment on the plan during final confirmation, which is reflected in subsequent plan generation. For example, the user suggests improvements to the plan. This allows the user to leave a rating or comment on the plan during final confirmation, which is reflected in subsequent plan generation.

[0045] The travel plan final confirmation unit can allow the user to customize part of the plan at the time of final confirmation. The travel plan final confirmation unit provides a function that allows the user to customize part of the travel plan at the time of final confirmation, for example. For example, changing the order of tourist spots. The travel plan final confirmation unit also provides a function that allows the user to customize part of the plan at the time of final confirmation, for example, changing accommodation. The travel plan final confirmation unit also provides a function that allows the user to customize part of the plan at the time of final confirmation, for example, changing where to eat. This allows the user to customize part of the plan at the time of final confirmation.

[0046] The travel plan final confirmation unit allows a user to share a plan with other users and receive feedback during final confirmation. The travel plan final confirmation unit provides, for example, a function for sharing a travel plan with other users and receiving feedback during final confirmation. For example, a user can share a plan with friends and family and receive their opinions. The travel plan final confirmation unit also adds a function for sharing a plan with other users and receiving feedback. For example, a user can share a plan on a social networking site and receive comments. The travel plan final confirmation unit also provides a function for sharing a plan with other users and receiving feedback during final confirmation. For example, a user can share a plan on a travel community and receive advice. This allows a user to share a plan with other users and receive feedback during final confirmation.

[0047] The travel plan final confirmation unit allows a plan to be seamlessly confirmed across different devices during final confirmation. The travel plan final confirmation unit provides a function that allows a travel plan to be seamlessly confirmed across different devices during final confirmation. For example, a plan confirmed on a smartphone can also be confirmed on a PC. The travel plan final confirmation unit also provides a function that allows a plan to be seamlessly confirmed across different devices during final confirmation. For example, a plan confirmed on a tablet can also be confirmed on a smartphone. The travel plan final confirmation unit also provides a function that allows a plan to be seamlessly confirmed across different devices during final confirmation. For example, a plan confirmed on a PC can also be confirmed on a tablet. This allows a plan to be seamlessly confirmed across different devices during final confirmation.

[0048] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0049] The user information input unit inputs the user's desired destinations, activities, budget, duration, purpose, and other preferences. For example, the user may input information such as "I want to go to Tokyo," "I want to eat delicious sushi," "My budget is 100,000 yen," "My duration is three days," "I'll be sightseeing with three friends," and "I want to go to a hot spring." The travel plan generation unit generates a travel plan based on the user information input by the user information input unit. For example, the generation AI analyzes the user's input information and generates an optimal travel plan. The generation AI can generate a travel plan using a text generation AI (e.g., LLM) or a multimodal generation AI. The travel plan presentation unit presents the travel plan generated by the travel plan generation unit to the user. For example, the travel plan may include specific schedules, tourist spots, recommended restaurants, and accommodations, such as "Day 1: Sightseeing at Tokyo Tower, having a sushi lunch in Ginza, visiting Sensoji Temple, and staying overnight at a hot spring," "Day 2: Spending the day at Disneyland," and "Day 3: Sightseeing at Odaiba and shopping." The chat re-presentation unit allows the user to request a re-presentation of the travel plan presented by the travel plan presentation unit in chat format. For example, a user may communicate requests such as "I want to eat yakiniku instead of sushi lunch" or "I want to go to Ueno Zoo instead of Disneyland" to the generation AI. The generation AI analyzes these requests, regenerates an optimal travel plan, and presents it to the user. In this way, the travel plan presentation system according to the embodiment can generate a travel plan based on the user's wishes, present it, and request resubmission.

[0050] The user information input unit can learn the user's past travel history and preferences and automatically complete input information. For example, it provides a function that learns the user's past travel destinations, accommodations, and food preferences and automatically completes the information when inputting the next travel plan. For example, it automatically suggests information about cities and accommodations visited in the past. The user information input unit also automatically suggests favorite tourist spots and activities based on the user's past travel history. For example, if a user has visited a museum in the past, it will suggest the museum in the user's next travel plan. The user information input unit also provides a function that learns the user's preferences and automatically completes input information. For example, if a user has liked Japanese food in the past, it will suggest a Japanese restaurant in the user's next travel plan. This makes it possible to automatically complete input information based on the user's past travel history and preferences.

[0051] The user information input unit can display weather and event information for a travel destination in real time based on information input by the user. For example, when a user inputs a travel destination, a function is provided to display weather information for that area in real time. For example, when Tokyo is input, the weather forecast for Tokyo is displayed. The user information input unit also provides a function to display event information held in that area in real time when a user inputs a travel destination. For example, when Kyoto is input, information about festivals and events held in Kyoto is displayed. The user information input unit also provides a function to display weather and event information for a travel destination in real time based on information input by the user. For example, when Okinawa is input, the weather forecast and event information for Okinawa are displayed. This makes it possible to display weather and event information for a travel destination in real time based on information input by the user.

[0052] The user information input unit can use voice input or image recognition to automatically convert what the user has said or photographed into text and use it as input information. For example, what the user has said is converted into text using voice recognition technology and used as input information. For example, if the user says, "I want to go to Tokyo," it is automatically converted into text. The user information input unit also analyzes images taken by the user using image recognition technology and uses it as input information. For example, if a photo of a tourist spot is taken, the location is automatically recognized. The user information input unit also uses voice input or image recognition to automatically convert what the user has said or photographed into text and use it as input information. For example, a travel plan can be generated based on what the user has said or photographed. This allows what the user has said or photographed to be automatically converted into text and used as input information.

[0053] The user information input unit allows information to be input and shared seamlessly between different devices. For example, it provides a function that allows information entered by a user on a smartphone to be seamlessly shared with a tablet or PC. For example, travel destination information entered on a smartphone can be checked on a PC. The user information input unit also provides a function that allows information to be input and shared seamlessly between different devices. For example, budget information entered on a tablet can be checked on a smartphone. The user information input unit also provides a function that allows information to be input and shared seamlessly between a smartphone, tablet, and PC. For example, travel plans entered on a PC can be checked on a smartphone. This allows information to be input and shared seamlessly between different devices.

[0054] The travel plan generation unit can simultaneously generate multiple different travel plans based on information input by the user, allowing them to be compared and considered. For example, multiple different travel plans can be simultaneously generated based on information input by the user, allowing them to be compared and considered. For example, a Tokyo sightseeing plan and a Kyoto sightseeing plan can be presented simultaneously. The travel plan generation unit can also simultaneously generate multiple different travel plans, allowing the user to compare and consider them. For example, plans based on budget and plans based on period can be presented simultaneously. The travel plan generation unit can also simultaneously generate multiple travel plans based on information input by the user, allowing them to be compared and considered. For example, a plan that emphasizes tourist spots and a plan that emphasizes meals can be presented simultaneously. This allows multiple different travel plans to be simultaneously generated, comparing and considered.

[0055] The travel plan generation unit reflects the user's past reviews and ratings in the generated travel plan, thereby providing a more accurate plan. For example, the user's past reviews and ratings are reflected in the generated travel plan. For example, tourist spots and accommodations that have received high ratings in the past are preferentially suggested. The travel plan generation unit also improves the accuracy of the generated travel plan based on the user's past reviews and ratings. For example, spots that have received low ratings in the past are excluded. The travel plan generation unit also reflects the user's past reviews and ratings in the generated travel plan, thereby providing a more accurate plan. For example, restaurants that have been well-received in the past are suggested. This allows the user's past reviews and ratings to be reflected, thereby providing a more accurate plan.

[0056] The processing flow of the first embodiment will be briefly explained below.

[0057] Step 1: In the user information input section, the user inputs the places they want to go, the things they want to do, their budget, the duration, their purpose, and other preferences. For example, the user might input information such as "I want to go to Tokyo," "I want to eat delicious sushi," "My budget is 100,000 yen," "My duration is 3 days," "I want to go sightseeing with 3 friends," and "I want to go to a hot spring." Step 2: The travel plan generation unit generates a travel plan based on the user information input by the user information input unit. For example, the generation AI analyzes the user's input information and generates an optimal travel plan. The generation AI can generate the travel plan using a text generation AI (e.g., LLM) or a multimodal generation AI. Step 3: The travel plan presentation unit presents the travel plan generated by the travel plan generation unit to the user. For example, the plan may include specific schedules, tourist spots, recommended restaurants, and accommodations, such as "Day 1: Sightseeing at Tokyo Tower, having a sushi lunch in Ginza, visiting Sensoji Temple, and staying overnight at a hot spring," "Day 2: Spending the day at Disneyland," and "Day 3: Sightseeing at Odaiba and shopping." Step 4: The chat re-presentation unit allows the user to request a re-presentation of the travel plan presented by the travel plan presentation unit in chat format. For example, the user may communicate to the generation AI requests such as "I want to eat yakiniku instead of sushi lunch" or "I want to go to Ueno Zoo instead of Disneyland." The generation AI analyzes these requests, re-generates the optimal travel plan, and presents it to the user.

[0058] (Example 2) The travel plan presentation system according to an embodiment of the present invention is a system in which a user inputs the places they want to go, the things they want to do, their budget, the period, their purpose, and other preferences, and a generation AI generates and presents an optimal travel plan based on this information. This allows the travel plan presentation system to provide an optimal travel plan that meets the user's preferences.

[0059] The travel plan presentation system according to the embodiment includes a user information input unit, a travel plan generation unit, a travel plan presentation unit, and a chat re-presentation unit. The user information input unit inputs the user's desired destinations, activities, budget, duration, purpose, and other preferences. For example, the user inputs information such as "I want to go to Tokyo," "I want to eat delicious sushi," "My budget is 100,000 yen," "My duration is three days," "I'll be sightseeing with three friends," and "I want to go to a hot spring." The travel plan generation unit generates a travel plan based on the user information input by the user information input unit. For example, the generation AI analyzes the user's input information and generates an optimal travel plan. The generation AI can generate the travel plan using a text generation AI (e.g., LLM) or a multimodal generation AI. The travel plan presentation unit presents the travel plan generated by the travel plan generation unit to the user. For example, the travel plan may include specific schedules, tourist spots, recommended restaurants, and accommodations, such as "Day 1: Sightseeing at Tokyo Tower, having a sushi lunch in Ginza, visiting Sensoji Temple, and staying overnight at a hot spring," "Day 2: Spending the day at Disneyland," and "Day 3: Sightseeing at Odaiba and shopping." The chat re-presentation unit allows the user to request a re-presentation of the travel plan presented by the travel plan presentation unit in chat format. For example, the user may communicate requests such as "I want to eat yakiniku instead of sushi lunch" or "I want to go to Ueno Zoo instead of Disneyland" to the generation AI. The generation AI analyzes these requests, re-generates an optimal travel plan, and presents it to the user. In this way, the travel plan presentation system according to the embodiment can generate a travel plan based on the user's wishes, present it, and request a re-presentation.

[0060] The user information input unit can learn the user's past travel history and preferences and automatically complete input information. The user information input unit provides a function to learn, for example, the user's past travel destinations, accommodations, and food preferences, and automatically complete the information when inputting the next travel plan. For example, the unit automatically suggests information about cities and accommodations visited in the past. The user information input unit also automatically suggests favorite tourist spots and activities based on the user's past travel history. For example, if a user has visited a museum in the past, the unit will suggest the museum in the user's next travel plan. The user information input unit also provides a function to learn the user's preferences and automatically complete input information. For example, if a user has liked Japanese food in the past, the unit will suggest a Japanese restaurant in the user's next travel plan. This makes it possible to automatically complete input information based on the user's past travel history and preferences.

[0061] The user information input unit can display weather and event information for a travel destination in real time based on information input by the user. For example, when a user inputs a travel destination, the user information input unit provides a function to display weather information for that area in real time. For example, when Tokyo is input, the weather forecast for Tokyo is displayed. The user information input unit also provides a function to display event information held in that area in real time when a user inputs a travel destination. For example, when Kyoto is input, information about festivals and events held in Kyoto is displayed. The user information input unit also provides a function to display weather and event information for a travel destination in real time based on information input by the user. For example, when Okinawa is input, the weather forecast and event information for Okinawa are displayed. This makes it possible to display weather and event information for a travel destination in real time based on information input by the user.

[0062] The user information input unit can use the emotion estimation function to analyze the emotion the user is feeling while inputting data and make suggestions to bring out positive emotions. The user information input unit, for example, analyzes the emotion the user is feeling while inputting data and makes suggestions to bring out positive emotions. For example, if the user is feeling stressed, the unit suggests a travel destination where the user can relax. The user information input unit also uses the emotion estimation function to analyze the emotion the user is feeling while inputting data and makes suggestions to bring out positive emotions. For example, if the user is having fun, the unit suggests an even more enjoyable activity. The user information input unit also analyzes the user's emotion and makes suggestions to bring out positive emotions. For example, if the user is tired, the unit suggests a travel destination where the user can refresh themselves. In this way, the user's emotion can be analyzed and suggestions to bring out positive emotions can be made.

[0063] The user information input unit can automatically convert what the user has said or photographed into text using voice input or image recognition, and use the text as input information. For example, the user information input unit converts what the user has said or photographed into text using voice recognition technology and uses the text as input information. For example, if the user says, "I want to go to Tokyo," the text is automatically converted into text. The user information input unit also analyzes images taken by the user using image recognition technology and uses the text as input information. For example, if a user takes a photo of a tourist spot, the location is automatically recognized. The user information input unit also automatically converts what the user has said or photographed into text using voice input or image recognition and uses the text as input information. For example, a travel plan can be generated based on what the user has said or photographed. This allows the text to be automatically converted into text and used as input information.

[0064] The user information input unit allows information to be input and shared seamlessly between different devices. For example, the user information input unit provides a function that allows information entered by a user on a smartphone to be seamlessly shared with a tablet or PC. For example, travel destination information entered on a smartphone can be checked on a PC. The user information input unit also provides a function that allows information to be input and shared seamlessly between different devices. For example, budget information entered on a tablet can be checked on a smartphone. The user information input unit also provides a function that allows information to be input and shared seamlessly between a smartphone, tablet, and PC. For example, a travel plan entered on a PC can be checked on a smartphone. This allows information to be input and shared seamlessly between different devices.

[0065] The user information input unit can use the emotion estimation function to analyze the facial expression and tone of voice when the user inputs information and optimize the input content. The user information input unit, for example, uses the emotion estimation function to analyze the facial expression when the user inputs information and optimize the input content. For example, if the user is smiling when inputting information, a positive suggestion is made. The user information input unit also uses the emotion estimation function to analyze the tone of voice when the user inputs information and optimize the input content. For example, if the user is excited, an active travel plan is suggested. The user information input unit also provides a function to analyze the facial expression and tone of voice of the user and optimize the input content. For example, if the user is relaxed, a relaxing travel destination is suggested. In this way, the user's facial expression and tone of voice can be analyzed and the input content can be optimized.

[0066] The travel plan generation unit can simultaneously generate multiple different travel plans based on information input by the user, allowing the user to compare and consider them. The travel plan generation unit, for example, simultaneously generates multiple different travel plans based on information input by the user, allowing the user to compare and consider them. For example, a Tokyo sightseeing plan and a Kyoto sightseeing plan are presented simultaneously. The travel plan generation unit also simultaneously generates multiple different travel plans, allowing the user to compare and consider them. For example, plans based on budget and plans based on period are presented simultaneously. The travel plan generation unit also simultaneously generates multiple travel plans based on information input by the user, allowing the user to compare and consider them. For example, a plan that emphasizes tourist spots and a plan that emphasizes meals are presented simultaneously. This allows multiple different travel plans to be simultaneously generated, compared and considered.

[0067] The travel plan generation unit reflects the user's past reviews and ratings in the generated travel plan, thereby providing a more accurate plan. The travel plan generation unit, for example, reflects the user's past reviews and ratings in the generated travel plan. For example, tourist spots and accommodations that have received high ratings in the past are preferentially suggested. The travel plan generation unit also improves the accuracy of the generated travel plan based on the user's past reviews and ratings. For example, spots that have received low ratings in the past are excluded. The travel plan generation unit also reflects the user's past reviews and ratings in the generated travel plan, thereby providing a more accurate plan. For example, restaurants that have been well-received in the past are suggested. This allows the user's past reviews and ratings to be reflected, thereby providing a more accurate plan.

[0068] The travel plan generation unit can use the emotion estimation function to prioritize incorporating into the plan activities that are predicted to be most enjoyable for the user. The travel plan generation unit, for example, uses the emotion estimation function to prioritize incorporating into the plan activities that are predicted to be most enjoyable for the user. For example, it suggests activities that excite the user. The travel plan generation unit also analyzes the user's emotions and incorporates into the plan activities that are most enjoyable for the user. For example, it suggests activities that allow the user to relax. The travel plan generation unit also uses the emotion estimation function to prioritize incorporating into the plan activities that the user will enjoy. For example, it suggests activities that will make the user smile. In this way, it is possible to prioritize incorporating into the plan activities that are predicted to be most enjoyable for the user.

[0069] The travel plan generation unit can provide a customized plan by taking into account the characteristics of different cultures and regions when generating the travel plan. The travel plan generation unit, for example, can provide a customized plan by taking into account the characteristics of different cultures and regions when generating the travel plan. For example, it can incorporate traditional local events and cultural experiences. The travel plan generation unit also customizes the travel plan by taking into account the characteristics of different cultures and regions. For example, it can provide a plan that reflects the food culture and customs of the region. The travel plan generation unit also takes into account the characteristics of the culture and region when generating the travel plan and provides the optimal plan for the user. For example, it can incorporate local festivals and events. This makes it possible to provide a customized plan by taking into account the characteristics of different cultures and regions.

[0070] The travel plan generation unit can use the emotion estimation function to predict emotions that the user will feel during the trip and generate a plan based on those emotions. The travel plan generation unit, for example, uses the emotion estimation function to predict emotions that the user will feel during the trip and generate a plan based on those emotions. For example, it proposes a relaxing travel plan. The travel plan generation unit also predicts the user's emotions and generates a travel plan based on those emotions. For example, it proposes a plan that incorporates exciting activities. The travel plan generation unit also uses the emotion estimation function to predict emotions that the user will feel during the trip and generate a plan based on those emotions. For example, it suggests tourist spots that will be enjoyable. In this way, it is possible to predict emotions that the user will feel during the trip and generate a plan based on those emotions.

[0071] The travel plan presentation unit can display the generated travel plan on an interactive map, allowing the user to intuitively understand it. The travel plan presentation unit, for example, displays the generated travel plan on an interactive map, allowing the user to intuitively understand it. For example, the locations of tourist spots and accommodations are displayed on the map. The travel plan presentation unit also visually displays the generated travel plan using the interactive map. For example, a tourist route is shown on the map. The travel plan presentation unit also displays the travel plan on an interactive map, allowing the user to intuitively understand it. For example, detailed information about tourist spots is displayed on the map. In this way, the generated travel plan is displayed on the interactive map, allowing the user to intuitively understand it.

[0072] The travel plan presentation unit allows the user to add comments and notes to the presented plan in real time. The travel plan presentation unit, for example, provides a function that allows the user to add comments and notes to the presented travel plan in real time. For example, the user can make notes about their impressions of tourist spots and things to be aware of. The travel plan presentation unit also provides a function that allows the user to add comments and notes to the presented plan in real time. For example, the user can make notes about their reviews of accommodations and their impressions of meals. The travel plan presentation unit also provides a function that allows the user to add comments and notes to the presented travel plan in real time. For example, the user can add notes about things they noticed during the trip or notes for their next trip. This allows the user to add comments and notes in real time.

[0073] The travel plan presentation unit can use the emotion estimation function to analyze the emotional response of the user when viewing the plan and make adjustments to elicit a positive response. The travel plan presentation unit, for example, uses the emotion estimation function to analyze the emotional response of the user when viewing the plan and make adjustments to elicit a positive response. For example, it adds activities that excite the user. The travel plan presentation unit also analyzes the emotional response of the user and makes adjustments to elicit a positive response. For example, it incorporates elements that allow the user to relax into the plan. The travel plan presentation unit also uses the emotion estimation function to analyze the emotional response of the user when viewing the plan and make adjustments to elicit a positive response. For example, it adds tourist spots that the user can enjoy. In this way, it is possible to analyze the emotional response of the user and make adjustments to elicit a positive response.

[0074] The travel plan presentation unit can automatically translate the presented plan into different languages ​​to accommodate international users. The travel plan presentation unit, for example, can automatically translate the presented travel plan into different languages ​​to accommodate international users. For example, it can translate into English, French, Chinese, etc. The travel plan presentation unit also uses an automatic translation function to make the presented travel plan multilingual. For example, it can display the plan in a language selected by the user. The travel plan presentation unit can also automatically translate the presented plan into different languages ​​to accommodate international users. For example, it can provide guidance in the local language of the travel destination. This allows the presented plan to be automatically translated into different languages ​​to accommodate international users.

[0075] The travel plan presentation unit can display the travel plan in visual note or mind map format to make it easier to understand visually. The travel plan presentation unit, for example, displays the travel plan in visual note format to make it easier for the user to understand visually. For example, tourist spots and accommodations are shown with icons. The travel plan presentation unit can also display the travel plan in mind map format to make it easier for the user to understand visually. For example, the schedule for each day is displayed in a branching format. The travel plan presentation unit can also display the travel plan in visual note or mind map format to make it easier for the user to understand visually. For example, the overall picture of the travel plan can be grasped at a glance. In this way, the travel plan can be displayed in visual note or mind map format to make it easier to understand visually.

[0076] The travel plan presentation unit can use the emotion estimation function to monitor in real time the emotions of the user when viewing the plan and present the optimal plan. The travel plan presentation unit, for example, uses the emotion estimation function to monitor in real time the emotions of the user when viewing the plan and present the optimal plan. For example, it prioritizes displaying plans that excite the user. The travel plan presentation unit also monitors the user's emotions in real time and presents the optimal travel plan. For example, it proposes a plan that allows the user to relax. The travel plan presentation unit also uses the emotion estimation function to monitor in real time the emotions of the user when viewing the plan and presents the optimal plan. For example, it prioritizes displaying plans that the user will enjoy. In this way, the user's emotions can be monitored in real time and the optimal plan can be presented.

[0077] The chat re-presentation unit can learn the user's intentions during a chat conversation and reflect them in the generation of subsequent plans. The chat re-presentation unit provides a function of learning the user's intentions during a chat conversation and reflecting them in the generation of subsequent plans. For example, it learns the user's favorite activities. The chat re-presentation unit also learns the user's intentions in a chat conversation and reflects them in the generation of subsequent travel plans. For example, it learns the type of food the user likes. The chat re-presentation unit also provides a function of learning the user's intentions during a chat conversation and reflecting them in the generation of subsequent plans. For example, it learns the user's favorite tourist spots. In this way, the user's intentions can be learned during a chat conversation and reflected in the generation of subsequent plans.

[0078] The chat re-presentation unit can instantly present an alternative to a change proposed by a user during a chat. The chat re-presentation unit provides a function of instantly presenting an alternative to a change proposed by a user during a chat. For example, if a user says, "I want to eat yakiniku instead of sushi lunch," the alternative of a yakiniku restaurant is presented. The chat re-presentation unit also provides a function of instantly presenting an alternative to a change proposed by a user during a chat. For example, if a user says, "I want to go to Ueno Zoo instead of Disneyland," the alternative of Ueno Zoo is presented. The chat re-presentation unit also provides a function of instantly presenting an alternative to a change proposed by a user during a chat. For example, if a user says, "I want to change hotels," the alternative of another hotel is presented. This makes it possible to instantly present an alternative to a change proposed by a user.

[0079] The chat re-presentation unit can use the emotion estimation function to analyze the emotion the user feels during a chat and take measures to draw out positive emotions. The chat re-presentation unit, for example, uses the emotion estimation function to analyze the emotion the user feels during a chat and take measures to draw out positive emotions. For example, if the user is feeling stressed, it makes suggestions to help the user relax. The chat re-presentation unit also analyzes the user's emotions and takes measures to draw out positive emotions. For example, if the user is having fun, it makes suggestions to make the user even more enjoyable. The chat re-presentation unit also uses the emotion estimation function to analyze the emotion the user feels during a chat and take measures to draw out positive emotions. For example, if the user is tired, it makes suggestions to help the user refresh. In this way, it is possible to analyze the emotion the user feels during a chat and take measures to draw out positive emotions.

[0080] The chat re-presentation unit can incorporate opinions and feedback from other users in real time during a chat. The chat re-presentation unit, for example, provides a function for incorporating opinions and feedback from other users in real time during a chat. For example, the opinions of friends and family are reflected in the chat. The chat re-presentation unit also adds a function for incorporating opinions and feedback from other users in real time. For example, opinions from a travel community are reflected in the chat. The chat re-presentation unit also provides a function for incorporating opinions and feedback from other users in real time during a chat. For example, comments on social media are reflected in the chat. This makes it possible to incorporate opinions and feedback from other users in real time during a chat.

[0081] The chat re-presentation unit uses the emotion estimation function to monitor the emotions felt by the user during a chat in real time and can provide an optimal response. The chat re-presentation unit, for example, uses the emotion estimation function to monitor the emotions felt by the user during a chat in real time and can provide an optimal response. For example, if the user is feeling stressed, the chat re-presentation unit makes suggestions to help the user relax. The chat re-presentation unit also monitors the user's emotions in real time and can provide an optimal response. For example, if the user is having fun, the chat re-presentation unit makes suggestions to make the user even more enjoyable. The chat re-presentation unit also uses the emotion estimation function to monitor the emotions felt by the user during a chat in real time and can provide an optimal response. For example, if the user is tired, the chat re-presentation unit makes suggestions to help the user refresh. In this way, the emotions felt by the user during a chat can be monitored in real time and an optimal response can be provided.

[0082] The travel plan presentation system further includes a travel plan final confirmation unit. The travel plan final confirmation unit provides a function that allows the user to leave a rating or comment on the plan during final confirmation, which is reflected in subsequent plan generation. For example, the user comments on what was good about the plan and what needs to be improved. The travel plan final confirmation unit also provides a function that allows the user to leave a rating or comment on the plan during final confirmation, which is reflected in subsequent plan generation. For example, the user evaluates his or her satisfaction with the plan. The travel plan final confirmation unit also provides a function that allows the user to leave a rating or comment on the plan during final confirmation, which is reflected in subsequent plan generation. For example, the user suggests improvements to the plan. This allows the user to leave a rating or comment on the plan during final confirmation, which is reflected in subsequent plan generation.

[0083] The travel plan final confirmation unit can allow the user to customize part of the plan at the time of final confirmation. The travel plan final confirmation unit provides a function that allows the user to customize part of the travel plan at the time of final confirmation, for example. For example, changing the order of tourist spots. The travel plan final confirmation unit also provides a function that allows the user to customize part of the plan at the time of final confirmation, for example, changing accommodation. The travel plan final confirmation unit also provides a function that allows the user to customize part of the plan at the time of final confirmation, for example, changing where to eat. This allows the user to customize part of the plan at the time of final confirmation.

[0084] The travel plan final confirmation unit can use the emotion estimation function to analyze the emotions felt by the user at the time of final confirmation and make adjustments to bring out positive emotions. The travel plan final confirmation unit can, for example, use the emotion estimation function to analyze the emotions felt by the user at the time of final confirmation and make adjustments to bring out positive emotions. For example, it can fine-tune the plan so that the user is satisfied. The travel plan final confirmation unit can also analyze the user's emotions and make adjustments to bring out positive emotions at the time of final confirmation. For example, it can add elements that the user can enjoy. The travel plan final confirmation unit can also use the emotion estimation function to analyze the emotions felt by the user at the time of final confirmation and make adjustments to bring out positive emotions. For example, it can add elements that allow the user to relax. This allows the travel plan final confirmation unit to analyze the emotions felt by the user at the time of final confirmation and make adjustments to bring out positive emotions.

[0085] The travel plan final confirmation unit allows a user to share a plan with other users and receive feedback during final confirmation. The travel plan final confirmation unit provides, for example, a function for sharing a travel plan with other users and receiving feedback during final confirmation. For example, a user can share a plan with friends and family and receive their opinions. The travel plan final confirmation unit also adds a function for sharing a plan with other users and receiving feedback. For example, a user can share a plan on a social networking site and receive comments. The travel plan final confirmation unit also provides a function for sharing a plan with other users and receiving feedback during final confirmation. For example, a user can share a plan on a travel community and receive advice. This allows a user to share a plan with other users and receive feedback during final confirmation.

[0086] The travel plan final confirmation unit allows a plan to be seamlessly confirmed across different devices during final confirmation. The travel plan final confirmation unit provides a function that allows a travel plan to be seamlessly confirmed across different devices during final confirmation. For example, a plan confirmed on a smartphone can also be confirmed on a PC. The travel plan final confirmation unit also provides a function that allows a plan to be seamlessly confirmed across different devices during final confirmation. For example, a plan confirmed on a tablet can also be confirmed on a smartphone. The travel plan final confirmation unit also provides a function that allows a plan to be seamlessly confirmed across different devices during final confirmation. For example, a plan confirmed on a PC can also be confirmed on a tablet. This allows a plan to be seamlessly confirmed across different devices during final confirmation.

[0087] The travel plan final confirmation unit uses the emotion estimation function to monitor in real time the emotions felt by the user at the time of final confirmation and can provide an optimal plan. The travel plan final confirmation unit, for example, uses the emotion estimation function to monitor in real time the emotions felt by the user at the time of final confirmation and can provide an optimal plan. For example, it preferentially displays plans that satisfy the user. The travel plan final confirmation unit also monitors the user's emotions in real time and can provide an optimal travel plan. For example, it can suggest a plan that the user can enjoy. The travel plan final confirmation unit also uses the emotion estimation function to monitor in real time the emotions felt by the user at the time of final confirmation and can provide an optimal plan. For example, it can suggest a plan that allows the user to relax. In this way, it is possible to monitor in real time the emotions felt by the user at the time of final confirmation and can provide an optimal plan.

[0088] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0089] The user information input unit inputs the user's desired destinations, activities, budget, duration, purpose, and other preferences. For example, the user may input information such as "I want to go to Tokyo," "I want to eat delicious sushi," "My budget is 100,000 yen," "My duration is three days," "I'll be sightseeing with three friends," and "I want to go to a hot spring." The travel plan generation unit generates a travel plan based on the user information input by the user information input unit. For example, the generation AI analyzes the user's input information and generates an optimal travel plan. The generation AI can generate a travel plan using a text generation AI (e.g., LLM) or a multimodal generation AI. The travel plan presentation unit presents the travel plan generated by the travel plan generation unit to the user. For example, the travel plan may include specific schedules, tourist spots, recommended restaurants, and accommodations, such as "Day 1: Sightseeing at Tokyo Tower, having a sushi lunch in Ginza, visiting Sensoji Temple, and staying overnight at a hot spring," "Day 2: Spending the day at Disneyland," and "Day 3: Sightseeing at Odaiba and shopping." The chat re-presentation unit allows the user to request a re-presentation of the travel plan presented by the travel plan presentation unit in chat format. For example, a user may communicate requests such as "I want to eat yakiniku instead of sushi lunch" or "I want to go to Ueno Zoo instead of Disneyland" to the generation AI. The generation AI analyzes these requests, regenerates an optimal travel plan, and presents it to the user. In this way, the travel plan presentation system according to the embodiment can generate a travel plan based on the user's wishes, present it, and request resubmission.

[0090] The user information input unit can learn the user's past travel history and preferences and automatically complete input information. For example, it provides a function that learns the user's past travel destinations, accommodations, and food preferences and automatically completes the information when inputting the next travel plan. For example, it automatically suggests information about cities and accommodations visited in the past. The user information input unit also automatically suggests favorite tourist spots and activities based on the user's past travel history. For example, if a user has visited a museum in the past, it will suggest the museum in the user's next travel plan. The user information input unit also provides a function that learns the user's preferences and automatically completes input information. For example, if a user has liked Japanese food in the past, it will suggest a Japanese restaurant in the user's next travel plan. This makes it possible to automatically complete input information based on the user's past travel history and preferences.

[0091] The user information input unit can display weather and event information for a travel destination in real time based on information input by the user. For example, when a user inputs a travel destination, a function is provided to display weather information for that area in real time. For example, when Tokyo is input, the weather forecast for Tokyo is displayed. The user information input unit also provides a function to display event information held in that area in real time when a user inputs a travel destination. For example, when Kyoto is input, information about festivals and events held in Kyoto is displayed. The user information input unit also provides a function to display weather and event information for a travel destination in real time based on information input by the user. For example, when Okinawa is input, the weather forecast and event information for Okinawa are displayed. This makes it possible to display weather and event information for a travel destination in real time based on information input by the user.

[0092] The user information input unit can use the emotion estimation function to analyze the emotion the user is feeling while inputting data and make suggestions to bring out positive emotions. For example, the emotion estimation function analyzes the emotion the user is feeling while inputting data and makes suggestions to bring out positive emotions. For example, if the user is feeling stressed, the emotion estimation function suggests a travel destination where the user can relax. The user information input unit can also use the emotion estimation function to analyze the emotion the user is feeling while inputting data and make suggestions to bring out positive emotions. For example, if the user is having fun, the emotion estimation function suggests an even more enjoyable activity. The user information input unit can also analyze the user's emotion and make suggestions to bring out positive emotions. For example, if the user is tired, the emotion estimation function suggests a travel destination where the user can refresh themselves. In this way, the user's emotion can be analyzed and suggestions to bring out positive emotions can be made.

[0093] The user information input unit can use voice input or image recognition to automatically convert what the user has said or photographed into text and use it as input information. For example, what the user has said is converted into text using voice recognition technology and used as input information. For example, if the user says, "I want to go to Tokyo," it is automatically converted into text. The user information input unit also analyzes images taken by the user using image recognition technology and uses it as input information. For example, if a photo of a tourist spot is taken, the location is automatically recognized. The user information input unit also uses voice input or image recognition to automatically convert what the user has said or photographed into text and use it as input information. For example, a travel plan can be generated based on what the user has said or photographed. This allows what the user has said or photographed to be automatically converted into text and used as input information.

[0094] The user information input unit allows information to be input and shared seamlessly between different devices. For example, it provides a function that allows information entered by a user on a smartphone to be seamlessly shared with a tablet or PC. For example, travel destination information entered on a smartphone can be checked on a PC. The user information input unit also provides a function that allows information to be input and shared seamlessly between different devices. For example, budget information entered on a tablet can be checked on a smartphone. The user information input unit also provides a function that allows information to be input and shared seamlessly between a smartphone, tablet, and PC. For example, travel plans entered on a PC can be checked on a smartphone. This allows information to be input and shared seamlessly between different devices.

[0095] The user information input unit can use the emotion estimation function to analyze the facial expression and tone of voice when the user inputs information and optimize the input content. For example, the emotion estimation function can be used to analyze the facial expression when the user inputs information and optimize the input content. For example, if the user is smiling when inputting information, positive suggestions can be made. The user information input unit can also use the emotion estimation function to analyze the tone of voice when the user inputs information and optimize the input content. For example, if the user is excited, an active travel plan can be suggested. The user information input unit also provides a function to analyze the facial expression and tone of voice of the user and optimize the input content. For example, if the user is relaxed, a relaxing travel destination can be suggested. In this way, the user's facial expression and tone of voice can be analyzed and the input content can be optimized.

[0096] The travel plan generation unit can simultaneously generate multiple different travel plans based on information input by the user, allowing them to be compared and considered. For example, multiple different travel plans can be simultaneously generated based on information input by the user, allowing them to be compared and considered. For example, a Tokyo sightseeing plan and a Kyoto sightseeing plan can be presented simultaneously. The travel plan generation unit can also simultaneously generate multiple different travel plans, allowing the user to compare and consider them. For example, plans based on budget and plans based on period can be presented simultaneously. The travel plan generation unit can also simultaneously generate multiple travel plans based on information input by the user, allowing them to be compared and considered. For example, a plan that emphasizes tourist spots and a plan that emphasizes meals can be presented simultaneously. This allows multiple different travel plans to be simultaneously generated, comparing and considered.

[0097] The travel plan generation unit reflects the user's past reviews and ratings in the generated travel plan, thereby providing a more accurate plan. For example, the user's past reviews and ratings are reflected in the generated travel plan. For example, tourist spots and accommodations that have received high ratings in the past are preferentially suggested. The travel plan generation unit also improves the accuracy of the generated travel plan based on the user's past reviews and ratings. For example, spots that have received low ratings in the past are excluded. The travel plan generation unit also reflects the user's past reviews and ratings in the generated travel plan, thereby providing a more accurate plan. For example, restaurants that have been well-received in the past are suggested. This allows the user's past reviews and ratings to be reflected, thereby providing a more accurate plan.

[0098] The travel plan generation unit can use the emotion estimation function to prioritize incorporating into the plan activities that are predicted to be most enjoyable for the user. For example, the emotion estimation function is used to prioritize incorporating into the plan activities that are predicted to be most enjoyable for the user. For example, activities that excite the user are suggested. The travel plan generation unit also analyzes the user's emotions and incorporates into the plan activities that are most enjoyable for the user. For example, activities that allow the user to relax are suggested. The travel plan generation unit also uses the emotion estimation function to prioritize incorporating into the plan activities that the user can enjoy. For example, activities that make the user smile are suggested. In this way, activities that are predicted to be most enjoyable for the user can be prioritized in the plan.

[0099] The processing flow of the second embodiment will be briefly explained below.

[0100] Step 1: In the user information input section, the user inputs the places they want to go, the things they want to do, their budget, the duration, their purpose, and other preferences. For example, the user might input information such as "I want to go to Tokyo," "I want to eat delicious sushi," "My budget is 100,000 yen," "My duration is 3 days," "I want to go sightseeing with 3 friends," and "I want to go to a hot spring." Step 2: The travel plan generation unit generates a travel plan based on the user information input by the user information input unit. For example, the generation AI analyzes the user's input information and generates an optimal travel plan. The generation AI can generate the travel plan using a text generation AI (e.g., LLM) or a multimodal generation AI. Step 3: The travel plan presentation unit presents the travel plan generated by the travel plan generation unit to the user. For example, the plan may include specific schedules, tourist spots, recommended restaurants, and accommodations, such as "Day 1: Sightseeing at Tokyo Tower, having a sushi lunch in Ginza, visiting Sensoji Temple, and staying overnight at a hot spring," "Day 2: Spending the day at Disneyland," and "Day 3: Sightseeing at Odaiba and shopping." Step 4: The chat re-presentation unit allows the user to request a re-presentation of the travel plan presented by the travel plan presentation unit in chat format. For example, the user may communicate to the generation AI requests such as "I want to eat yakiniku instead of sushi lunch" or "I want to go to Ueno Zoo instead of Disneyland." The generation AI analyzes these requests, re-generates the optimal travel plan, and presents it to the user.

[0101] 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.

[0102] 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.

[0103] 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.

[0104] [Second embodiment] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0105] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0106] 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.

[0107] 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.

[0108] 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.

[0109] 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).

[0110] 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.

[0111] 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.

[0112] 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.

[0113] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0114] In the smart glasses 214, the specific processing is performed by the processor 46. A specific processing program 60 is stored in the storage 50. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. The smart glasses 214 also have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can perform processing similar to that of the specific processing unit 290 using these models.

[0115] 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.

[0116] 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.

[0117] 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.

[0118] 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.

[0119] [Third embodiment] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0120] 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.

[0121] 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.

[0122] 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.

[0123] 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.

[0124] 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).

[0125] 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.

[0126] 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.

[0127] 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.

[0128] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0129] In the headset type terminal 314, the specific processing is performed by the processor 46. A specific processing program 60 is stored in the storage 50. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. Note that the headset type terminal 314 has a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can also perform processing similar to that of the specific processing unit 290 using these models.

[0130] 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.

[0131] 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.

[0132] 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.

[0133] 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.

[0134] [Fourth embodiment] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0135] 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.

[0136] 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.

[0137] 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.

[0138] 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.

[0139] 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).

[0140] 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.

[0141] 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.

[0142] 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.

[0143] 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.

[0144] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0145] In the robot 414, the specific processing is performed by the processor 46. A specific processing program 60 is stored in the storage 50. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. The robot 414 has a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can also perform processing similar to that of the specific processing unit 290 using these models.

[0146] 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.

[0147] 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.

[0148] 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.

[0149] 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.

[0150] 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.

[0151] 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.

[0152] 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.

[0153] 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).

[0154] 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.

[0155] 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."

[0156] 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.

[0157] 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.

[0158] 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.

[0159] 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.

[0160] 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.

[0161] 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.

[0162] 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.

[0163] 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.

[0164] 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.

[0165] 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.

[0166] 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.

[0167] 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]

[0168] 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 user information input unit for inputting user information; a travel plan generation unit that generates a travel plan based on the user information input by the user information input unit; a travel plan presentation unit that presents the travel plan generated by the travel plan generation unit to a user; a chat re-presentation unit that allows the user to request a re-presentation of the travel plan presented by the travel plan presentation unit in a chat format. A system characterized by:

2. The user information input unit Learns the user's past travel history and preferences and automatically completes input information 2. The system of claim 1.

3. The user information input unit Based on the information entered by the user, weather and event information for the travel destination is displayed in real time.

2. The system of claim 1.

4. The user information input unit Analyze the emotions felt by the user while they are typing and make suggestions to bring out positive emotions.

2. The system of claim 1.

5. The user information input unit Using voice input and image recognition, what the user says or takes a picture of is automatically converted into text and used as input information.

2. The system of claim 1.

6. The user information input unit You can seamlessly input and share information between different devices.

2. The system of claim 1.

Images