system

Abstract

The system according to the embodiment aims to provide integrated management of everything from overseas travel arrangements to on-site support. [Solution] The system according to the embodiment includes a reception unit, a reservation unit, a digitization unit, a management unit, an interpretation unit and a translation unit, and a diary unit. The reception unit receives travel information from a user. The reservation unit reserves tickets based on the information received by the reception unit. The digitization unit digitizes the tickets reserved by the reservation unit. The management unit manages the tickets digitized by the digitization unit. The interpretation unit and translation unit provide on-site interpretation and translation based on the tickets managed by the management unit. The diary unit generates a diary based on the information managed by the management unit.

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] With conventional technology, overseas travel arrangements and local support were distributed, making it difficult to manage them centrally.

[0005] The system according to the embodiment aims to provide integrated management of everything from overseas travel arrangements to on-site support. [Means for solving the problem]

[0006] The system according to the embodiment includes a reception unit, a reservation unit, a digitization unit, a management unit, an interpretation unit and a translation unit, and a diary unit. The reception unit receives travel information from a user. The reservation unit reserves tickets based on the information received by the reception unit. The digitization unit digitizes the tickets reserved by the reservation unit. The management unit manages the tickets digitized by the digitization unit. The interpretation unit and translation unit provide on-site interpretation and translation based on the tickets managed by the management unit. The diary unit generates a diary based on the information managed by the management unit. [Effects of the Invention]

[0007] The system according to the embodiment can centrally manage everything from overseas travel arrangements to on-site support. [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) A travel support system according to an embodiment of the present invention performs a comprehensive range of services, from travel arrangements to on-site support, based on travel information entered by a user. This travel support system allows users to input travel information such as their destination and itinerary, and the system reserves optimal tickets, including options. The system also serves as an on-site interpreter and translator, and digitizes and consolidates all tickets. It also includes a diary function, allowing users to manage their travel memories. For example, when entering travel information such as a destination and itinerary, a user inputs the departure point, destination, travel duration, and desired options (e.g., hotel rank and tourist attraction visits). For example, the user might input information such as "Tokyo to Paris, July 1st to July 10th, staying in a five-star hotel, and visiting the Eiffel Tower." This information is entered into the system. The system then analyzes the input information and reserves optimal tickets. The system reserves the optimal combination of airline tickets, hotels, and tickets to tourist attractions. For example, the system selects the most cost-effective airline ticket based on the user's desired itinerary, reserves the desired hotel, and arranges tickets to tourist attractions. This allows the user to complete all arrangements with a single input. The system also serves as an interpreter and translator on-site. The system provides interpreting and translation functions when users encounter difficulties while traveling. For example, if a user does not understand a menu at a local restaurant, the system translates it and provides it to the user. Furthermore, if a user needs to communicate with local people, the system provides interpretation, supporting smooth communication. Each ticket is digitized and consolidated. The system digitizes airline tickets, hotel reservation confirmations, and tourist attraction tickets and provides them as a single digital ticket. This eliminates the need for users to carry multiple tickets; users can manage all tickets on a single smartphone. The system also includes a diary function, allowing users to manage their travel memories. Users can record photos and videos taken during their trip, as well as their impressions of the places they visited, in a diary. The system organizes this information and provides it to the user for later review. For example, after a user returns from a trip, the system automatically generates a diary and provides it to the user.This allows users to easily manage and share their travel memories, and the travel support system can efficiently accept users' travel information, make reservations, digitize it, manage it, interpret / translate it, and create diaries.

[0029] A travel assistance system according to an embodiment includes a reception unit, a reservation unit, a digitization unit, a management unit, an interpretation unit, a translation unit, and a diary unit. The reception unit receives travel information from a user. The travel information input by the user includes, but is not limited to, a departure point, a destination, a travel period, and desired options. The reception unit receives the travel information, for example, through an online form. The reception unit can also receive the travel information via telephone or email. For example, a user inputs a departure point, a destination, a travel period, and desired options into an online form. Next, the reservation unit reserves tickets based on the information received by the reception unit. The reservation unit reserves, for example, an optimal combination of airline tickets, hotel tickets, and tickets to tourist attractions. For example, the reservation unit selects the most cost-effective airline tickets based on the user's desired dates, reserves the user's desired hotel, and also arranges tickets to tourist attractions. Furthermore, the reservation unit can also provide additional options (e.g., arranging a rental car or booking special activities) according to the user's wishes. Next, the digitization unit digitizes the tickets reserved by the reservation unit. The digitization unit digitizes, for example, airline tickets, hotel reservation confirmations, and tourist attraction tickets. The digitization unit digitizes tickets in, for example, PDF format or two-dimensional code (e.g., QR Code (registered trademark)) format. The digitization unit can also send the digitized tickets to the user via email. Next, the management unit manages the tickets digitized by the digitization unit. For example, the management unit integrates multiple tickets into a single digital ticket. The management unit manages tickets using, for example, a database management system. The management unit can also store tickets using cloud storage. Next, the interpretation unit and translation unit provide interpretation and translation when the user encounters difficulties while traveling. The interpretation unit and translation unit support user communication using, for example, real-time interpretation and machine translation. For example, if the user does not understand a menu at a local restaurant, the interpretation unit translates the menu and provides it to the user. The translation unit also provides interpretation when the user communicates with local people, supporting smooth communication.Finally, the diary unit generates a diary based on photos and videos taken by the user during the trip, impressions of the places visited, etc. The diary unit, for example, organizes the photos and videos taken by the user during the trip and provides them as a diary. The diary unit can also generate a text diary based on the impressions recorded by the user during the trip. This enables the travel support system according to the embodiment to efficiently accept the user's travel information and perform reservations, digitization, management, interpretation and translation, and diary generation.

[0030] The reception unit can accept the departure point, destination, travel period, and desired options entered by the user. For example, the reception unit accepts the user's input of the departure point, destination, travel period, and desired options into an online form. The reception unit can also accept travel information via telephone or email. For example, the reception unit can accept the user's input of the departure point, destination, travel period, and desired options over the telephone. Furthermore, the reception unit can accept the user's transmission of travel information via email. For example, the reception unit can accept the user's input of the departure point, destination, travel period, and desired options via email. This allows the user to enter detailed travel information.

[0031] The reservation unit can reserve a combination of airline tickets, hotels, and tickets to tourist attractions based on the information received by the reception unit. The reservation unit, for example, reserves airline tickets based on the information received by the reception unit. For example, the reservation unit can select the most cost-effective airline ticket based on the user's desired dates. The reservation unit can also reserve a hotel. For example, the reservation unit can select the most suitable hotel based on the hotel rank and room type desired by the user. The reservation unit can also reserve tickets to tourist attractions. For example, the reservation unit can arrange tickets to the user's desired tourist attractions. This allows the user to complete all arrangements with a single input.

[0032] The digitization unit can digitize airline tickets, hotel reservation confirmations, and tourist attraction tickets booked by the reservation unit. The digitization unit, for example, digitizes airline tickets booked by the reservation unit. For example, the digitization unit can digitize airline tickets into PDF format or two-dimensional code format. The digitization unit can also digitize hotel reservation confirmations. For example, the digitization unit can digitize hotel reservation confirmations into PDF format or two-dimensional code format. The digitization unit can also digitize tourist attraction tickets. For example, the digitization unit can digitize tourist attraction tickets into PDF format or two-dimensional code format. This eliminates the need for a user to carry multiple tickets.

[0033] The management unit can manage the tickets digitized by the digitization unit as a single digital ticket. For example, the management unit integrates airline tickets, hotel reservation confirmations, and tourist attraction tickets digitized by the digitization unit into a single digital ticket. For example, the management unit can provide multiple tickets as a single two-dimensional code. The management unit can also manage tickets using a database management system. For example, the management unit can store tickets using cloud storage. This allows users to manage all their tickets with just one smartphone.

[0034] The interpretation unit and translation unit can provide interpretation or translation when a user encounters a problem while in a local area. For example, if a user cannot understand a menu at a local restaurant, the interpretation unit and translation unit can translate the menu and provide it to the user. For example, the interpretation unit can translate the contents of the menu in real time and display it to the user. The translation unit can also provide interpretation when the user communicates with local people. For example, the translation unit can translate what the user says in real time and convey it to the local people. This allows the user to communicate smoothly while in a local area.

[0035] The diary section can generate a diary based on photos and videos taken by the user during the trip and impressions of the places visited. The diary section, for example, organizes the photos and videos taken by the user during the trip and provides them as a diary. For example, the diary section can organize the photos and videos taken by the user in chronological order and display them as a diary. The diary section can also generate a text diary based on the impressions recorded by the user during the trip. For example, the diary section can automatically organize the impressions entered by the user and provide them as a diary. This allows the user to easily manage and share their travel memories.

[0036] The reception unit can analyze the user's past travel history and suggest the optimal method for inputting travel information. For example, the reception unit can automatically display places that the user has frequently visited in the past as candidates. For example, the reception unit can preferentially suggest input methods (voice, text, etc.) that the user has used in the past. The reception unit can also predict and suggest departure and destination points to be used during a specific time period based on the user's past travel history. For example, the reception unit can suggest the next travel destination based on travel destinations that the user has visited in the past. This makes it possible to provide the optimal input method based on the user's past travel history.

[0037] When inputting travel information, the reception unit can filter the information based on the user's current living situation and areas of interest. For example, the reception unit can prioritize displaying tourist spots and activities that the user has recently taken an interest in. For example, the reception unit can suggest an appropriate travel plan based on the user's current living situation (e.g., how busy the user is at work or their family structure). The reception unit can also filter and display related travel information based on the user's areas of interest (e.g., history, nature, art). For example, the reception unit can suggest travel destinations and activities based on themes that the user is interested in. This makes it possible to provide optimal travel information according to the user's living situation and areas of interest.

[0038] When inputting travel information, the reception unit can prioritize input of highly relevant information by taking into account the user's geographical location information. The reception unit, for example, automatically suggests a departure point close to the user's current location. For example, the reception unit can suggest the user's optimal travel destination based on their current location. The reception unit can also suggest an optimal travel plan by taking into account the mode of transportation from the user's current location (e.g., car, train, plane). For example, the reception unit can suggest the most convenient departure point from the user's current location, simplifying the input of travel information. This makes it possible to provide optimal travel information based on the user's geographical location information.

[0039] The reception unit can analyze the user's social media activity when inputting travel information and cause the user to input related information. The reception unit can suggest related information based on, for example, travel destinations and activities shared by the user on social media. For example, the reception unit can suggest travel destinations based on places visited by the user's social media friends. The reception unit can also suggest travel plans based on events and tourist spots in which the user expressed interest on social media. For example, the reception unit can suggest the next travel destination based on travel destinations shared by the user on social media. This makes it possible to provide optimal travel information based on the user's social media activity.

[0040] The reservation unit can adjust the level of reservation detail based on the importance of the trip when making a reservation. For example, for an important business trip, the reservation unit can provide detailed reservation information and allow the user to review all options. For example, for a family trip, the reservation unit can provide reservation options tailored to the needs of the entire family. The reservation unit can also provide a simple and quick reservation process for a short leisure trip. For example, for a short leisure trip, the reservation unit can display only the most important information to allow the user to complete the reservation quickly. This allows the reservation unit to provide the optimal level of reservation detail depending on the importance of the trip.

[0041] The reservation unit can apply different reservation algorithms depending on the travel category when making a reservation. For example, in the case of a business trip, the reservation unit prioritizes reserving the most suitable conference facilities or business hotels. For example, in the case of a leisure trip, the reservation unit can prioritize reserving tourist spots and activities. In addition, in the case of a family trip, the reservation unit can also prioritize reserving family-friendly accommodations and activities. For example, in the case of a family trip, the reservation unit can suggest and reserve activities that the whole family can enjoy. This makes it possible to provide the optimal reservation algorithm depending on the travel category.

[0042] When making a reservation, the reservation unit can determine the priority of reservations based on when the trip is submitted. For example, if the trip is submitted early, the reservation unit will prioritize reserving the most cost-effective option. For example, if the trip is submitted late, the reservation unit can reserve the optimal option taking into account availability. The reservation unit can also make reservations taking into account cancellation policies depending on when the trip is submitted. For example, if the trip is submitted early, the reservation unit can select an option with a flexible cancellation policy. This makes it possible to provide optimal reservation priority depending on when the trip is submitted.

[0043] The reservation unit can adjust the reservation order based on the travel relevance when making a reservation. For example, the reservation unit prioritizes reserving options with high travel relevance (e.g., airline tickets and hotels). For example, the reservation unit can postpone options with low travel relevance (e.g., tickets to tourist attractions). The reservation unit can also suggest an optimal reservation order based on the travel relevance. For example, the reservation unit can prioritize reserving options with high travel relevance and suggest them to the user. This makes it possible to provide an optimal reservation order according to the travel relevance.

[0044] The digitization unit can adjust the level of detail of digitization based on the importance of the ticket during digitization. For example, the digitization unit can provide a detailed digitization procedure for important airline tickets or hotel reservation confirmations. For example, the digitization unit can provide a simple and quick digitization procedure for tickets to tourist attractions. The digitization unit can also adjust the level of detail of digitization based on the importance of the ticket. For example, the digitization unit can digitize important airline tickets or hotel reservation confirmations in detail and provide them to the user. This makes it possible to provide an optimal level of detail of digitization based on the importance of the ticket.

[0045] The digitization unit can apply different digitization algorithms depending on the ticket category during digitization. For example, in the case of an airline ticket, the digitization unit provides detailed digitization procedures and allows the user to confirm all information. For example, in the case of a hotel reservation confirmation, the digitization unit can digitize mainly accommodation information. In addition, in the case of a ticket for a tourist attraction, the digitization unit can digitize mainly admission information. For example, the digitization unit can easily digitize tickets for a tourist attraction and provide them to the user. This makes it possible to provide an optimal digitization algorithm depending on the ticket category.

[0046] During digitization, the digitization department can adjust the order of digitization based on the time of ticket submission. For example, if the ticket is submitted early, the digitization department prioritizes the digitization of the most cost-effective option. For example, if the ticket is submitted late, the digitization department can digitize the optimal option taking into account availability. The digitization department can also digitize tickets taking into account the cancellation policy depending on the time of ticket submission. For example, if the ticket is submitted early, the digitization department can select an option with a flexible cancellation policy. This makes it possible to provide the optimal digitization order depending on the time of ticket submission.

[0047] During digitization, the digitization unit can adjust the order of digitization based on the relevance of the tickets. For example, the digitization unit prioritizes digitization of options with high ticket relevance (e.g., airline tickets and hotels). For example, the digitization unit can postpone options with low ticket relevance (e.g., tickets to tourist attractions). The digitization unit can also suggest an optimal digitization order based on the ticket relevance. For example, the digitization unit can prioritize digitization of options with high ticket relevance and suggest them to the user. This makes it possible to provide an optimal digitization order according to the ticket relevance.

[0048] When managing tickets, the management unit can select the optimal management method by referring to the user's past travel history. The management unit can, for example, suggest the optimal management method based on ticket management methods used by the user in the past. For example, the management unit can prioritize management of frequently used tickets based on the user's past travel history. The management unit can also analyze the user's past travel history and suggest the most efficient ticket management method. For example, the management unit can suggest a ticket management method for the user's next travel destination based on travel destinations the user has visited in the past. This makes it possible to provide the optimal ticket management method based on the user's past travel history.

[0049] The management unit can customize the management method based on the user's current lifestyle when managing tickets. For example, if the user is busy, the management unit provides a simple and quick ticket management procedure. For example, if the user is relaxed, the management unit can provide a detailed ticket management procedure and present many options. The management unit can also suggest the optimal ticket management method based on the user's current lifestyle (e.g., family composition or busyness at work). For example, if the user is busy, the management unit can complete ticket management with simple operations. This makes it possible to provide the optimal ticket management method according to the user's lifestyle.

[0050] When managing tickets, the management unit can select the optimal management method taking into account the user's geographical location information. For example, the management unit prioritizes management of departure points that are closest to the user's current location. For example, the management unit can suggest the optimal ticket management method based on the user's current location. The management unit can also provide the optimal ticket management procedure based on the user's geographical location information. For example, the management unit can suggest the most convenient departure point from the user's current location, simplifying ticket management. This makes it possible to provide the optimal ticket management method based on the user's geographical location information.

[0051] The management unit can analyze the user's social media activity and suggest management methods when managing tickets. For example, the management unit prioritizes managing related tickets based on travel destinations and activities shared by the user on social media. For example, the management unit can suggest ticket management methods based on places visited by the user's social media friends. The management unit can also provide optimal ticket management procedures based on events and tourist destinations in which the user has shown interest on social media. For example, the management unit can suggest ticket management methods for the user's next travel destination based on travel destinations shared by the user on social media. This makes it possible to provide optimal ticket management methods based on the user's social media activity.

[0052] The interpretation and translation units can select the optimal interpretation and translation method by referring to the user's past language usage history when interpreting and translating. For example, the interpretation and translation units can suggest the optimal interpretation and translation method based on the languages ​​the user has used in the past. For example, the interpretation and translation units can prioritize interpretation and translation of frequently used languages ​​based on the user's past language usage history. The interpretation and translation units can also analyze the user's past language usage history and suggest the most efficient interpretation and translation method. For example, the interpretation and translation units can suggest the next interpretation and translation method based on the languages ​​the user has used in the past. This makes it possible to provide the optimal interpretation and translation method based on the user's past language usage history.

[0053] The interpretation and translation units can customize the interpretation and translation means based on the user's current living situation during interpretation and translation. For example, if the user is busy, the interpretation and translation units can provide simple and quick interpretation and translation procedures. For example, if the user is relaxed, the interpretation and translation units can provide detailed interpretation and translation procedures and present many options. The interpretation and translation units can also suggest the optimal interpretation and translation method based on the user's current living situation (e.g., family composition or work busyness). For example, if the user is busy, the interpretation and translation units can complete interpretation and translation with simple operations. This makes it possible to provide the optimal interpretation and translation means according to the user's living situation.

[0054] The interpretation and translation department can select the optimal interpretation and translation method by taking into account the user's geographical location information when interpreting and translating. For example, the interpretation and translation department can prioritize interpretation and translation in locations close to the user's current location. For example, the interpretation and translation department can suggest the optimal interpretation and translation method based on the user's current location. The interpretation and translation department can also provide the optimal interpretation and translation procedure based on the user's geographical location information. For example, the interpretation and translation department can suggest interpretation and translation in the location most convenient for the user's current location, simplifying the interpretation and translation. This makes it possible to provide the optimal interpretation and translation method based on the user's geographical location information.

[0055] When interpreting or translating, the interpretation and translation department can analyze the user's social media activity to suggest interpretation and translation methods. For example, the interpretation and translation department can prioritize relevant interpretation and translation based on travel destinations and activities shared by the user on social media. For example, the interpretation and translation department can suggest interpretation and translation methods based on places visited by the user's social media friends. The interpretation and translation department can also provide optimal interpretation and translation procedures based on events and tourist destinations in which the user expressed interest on social media. For example, the interpretation and translation department can suggest the next interpretation and translation method based on travel destinations shared by the user on social media. This makes it possible to provide optimal interpretation and translation methods based on the user's social media activity.

[0056] When creating a diary, the diary unit can select the optimal diary creation method by referring to the user's past travel history. The diary unit, for example, can suggest the optimal diary creation method based on diaries created by the user in the past. For example, the diary unit can prioritize recording frequently visited places in the diary from the user's past travel history. The diary unit can also analyze the user's past travel history and suggest the most efficient diary creation method. For example, the diary unit can suggest a diary creation method for the user's next travel destination based on travel destinations the user has visited in the past. This makes it possible to provide the optimal diary creation method based on the user's past travel history.

[0057] The diary unit can customize the diary means based on the user's current living situation when creating a diary. For example, if the user is busy, the diary unit provides a simple and quick diary creation procedure. For example, if the user is relaxed, the diary unit can provide a detailed diary creation procedure and present many options. The diary unit can also suggest an optimal diary creation method based on the user's current living situation (for example, family composition or busyness at work). For example, if the user is busy, the diary unit can create a diary with simple operations. This makes it possible to provide an optimal diary creation means according to the user's living situation.

[0058] When creating a diary, the diary unit can select the optimal diary creation method by taking into consideration the user's geographical location information. For example, the diary unit prioritizes recording events that occur in locations close to the user's current location in the diary. For example, the diary unit can suggest the optimal diary creation method based on the user's current location. The diary unit can also provide the optimal diary creation procedure based on the user's geographical location information. For example, the diary unit can suggest events that occur in locations that are most convenient for the user from their current location, simplifying diary creation. This makes it possible to provide the optimal diary creation method based on the user's geographical location information.

[0059] When creating a diary entry, the diary unit can analyze the user's social media activities and suggest a diary entry method. For example, the diary unit can prioritize creating a diary entry based on travel destinations and activities shared by the user on social media. For example, the diary unit can suggest a diary entry method by referring to places visited by the user's social media friends. The diary unit can also provide an optimal diary entry procedure based on events and tourist spots in which the user expressed interest on social media. For example, the diary unit can suggest the next diary entry method based on travel destinations shared by the user on social media. This makes it possible to provide an optimal diary entry method based on the user's social media activities.

[0060] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0061] The travel assistance system can further include a health management unit that monitors the user's health status and supports health management during the trip. For example, the health management unit can monitor the user's heart rate and blood pressure in real time and issue an alert if an abnormality is detected. The health management unit can also manage the user's diet and exercise records and suggest healthy travel plans. Furthermore, the health management unit can provide reminders for medications the user needs during the trip and support medication intake. This allows the user to enjoy their trip with peace of mind.

[0062] The reservation unit can analyze the user's past travel history and propose optimal travel plans. For example, it can propose the user's next travel destination or activity based on the places the user has visited and the activities they have participated in in the past. It can also propose similar facilities based on the user's past favorite hotels and restaurants. It can also propose travel plans tailored to specific seasons or events based on the user's past travel history. This makes it possible to provide optimal travel plans tailored to the user's preferences.

[0063] The management unit can propose optimal travel plans taking into account the user's geographical location information. For example, it can propose tourist spots and activities close to the user's current location. It can also propose optimal means of transportation and routes based on the user's current location. Furthermore, it can provide local weather and event information based on the user's geographical location information and adjust the travel plan. This makes it possible to provide optimal travel plans based on the user's geographical location information.

[0064] The diary unit can analyze the user's social media activities and suggest the optimal diary creation method. For example, it can create a related diary based on travel destinations and activities shared by the user on social media. It can also suggest a diary creation method by referring to places visited by the user's social media friends. It can also provide the optimal diary creation procedure based on events and tourist spots that the user has shown interest in on social media. This makes it possible to provide the optimal diary creation method based on the user's social media activities.

[0065] The management unit can suggest optimal travel plans by referencing the user's past travel history. For example, it can suggest the user's next travel destination or activity based on the places the user has visited or the activities they have participated in in the past. It can also suggest similar facilities based on the user's past favorite hotels and restaurants. It can also suggest travel plans tailored to specific seasons or events based on the user's past travel history. This makes it possible to provide optimal travel plans tailored to the user's preferences.

[0066] The processing flow of the first embodiment will be briefly explained below.

[0067] Step 1: The reception unit accepts travel information from the user. The travel information entered by the user includes, for example, the departure point, destination, travel period, desired options, etc. The reception unit accepts the travel information via an online form, telephone, or email. Step 2: The reservation unit reserves tickets based on the information received by the reception unit. The reservation unit reserves the optimal combination of air tickets, hotels, and tickets to tourist attractions, and also handles additional options (such as arranging a rental car or booking special activities) according to the user's wishes. Step 3: The Digitization Department digitizes the tickets reserved by the Reservation Department. The Digitization Department digitizes airline tickets, hotel reservation confirmations, and tourist attraction tickets in PDF format or 2D code format and sends them to the user via email. Step 4: The Management Department manages the tickets digitized by the Digitization Department. The Management Department integrates multiple tickets into a single digital ticket and manages and stores the tickets using a database management system or cloud storage. Step 5: The interpretation and translation departments provide interpretation and translation services when users encounter difficulties in their local area. The interpretation department translates menus when users cannot understand them at local restaurants, and the translation department interprets when users communicate with local people. Step 6: The diary section generates a diary based on the photos and videos taken by the user during the trip, impressions of the places visited, etc. The diary section organizes the photos and videos taken by the user during the trip and generates a text diary.

[0068] (Example 2) A travel support system according to an embodiment of the present invention performs a comprehensive range of services, from travel arrangements to on-site support, based on travel information entered by a user. This travel support system allows users to input travel information such as their destination and itinerary, and the system reserves optimal tickets, including options. The system also serves as an on-site interpreter and translator, and digitizes and consolidates all tickets. It also includes a diary function, allowing users to manage their travel memories. For example, when entering travel information such as a destination and itinerary, a user inputs the departure point, destination, travel duration, and desired options (e.g., hotel rank and tourist attraction visits). For example, the user might input information such as "Tokyo to Paris, July 1st to July 10th, staying in a five-star hotel, and visiting the Eiffel Tower." This information is entered into the system. The system then analyzes the input information and reserves optimal tickets. The system reserves the optimal combination of airline tickets, hotels, and tickets to tourist attractions. For example, the system selects the most cost-effective airline ticket based on the user's desired itinerary, reserves the desired hotel, and arranges tickets to tourist attractions. This allows the user to complete all arrangements with a single input. The system also serves as an interpreter and translator on-site. The system provides interpreting and translation functions when users encounter difficulties while traveling. For example, if a user does not understand a menu at a local restaurant, the system translates it and provides it to the user. Furthermore, if a user needs to communicate with local people, the system provides interpretation, supporting smooth communication. Each ticket is digitized and consolidated. The system digitizes airline tickets, hotel reservation confirmations, and tourist attraction tickets and provides them as a single digital ticket. This eliminates the need for users to carry multiple tickets; users can manage all tickets on a single smartphone. The system also includes a diary function, allowing users to manage their travel memories. Users can record photos and videos taken during their trip, as well as their impressions of the places they visited, in a diary. The system organizes this information and provides it to the user for later review. For example, after a user returns from a trip, the system automatically generates a diary and provides it to the user.This allows users to easily manage and share their travel memories, and the travel support system can efficiently accept users' travel information, make reservations, digitize it, manage it, interpret / translate it, and create diaries.

[0069] A travel assistance system according to an embodiment includes a reception unit, a reservation unit, a digitization unit, a management unit, an interpretation unit, a translation unit, and a diary unit. The reception unit receives travel information from a user. The travel information input by the user includes, but is not limited to, a departure point, a destination, a travel period, and desired options. The reception unit receives the travel information, for example, through an online form. The reception unit can also receive the travel information via telephone or email. For example, a user inputs a departure point, a destination, a travel period, and desired options into an online form. Next, the reservation unit reserves tickets based on the information received by the reception unit. The reservation unit reserves, for example, an optimal combination of airline tickets, hotel tickets, and tickets to tourist attractions. For example, the reservation unit selects the most cost-effective airline tickets based on the user's desired dates, reserves the user's desired hotel, and also arranges tickets to tourist attractions. Furthermore, the reservation unit can also provide additional options (e.g., arranging a rental car or booking special activities) according to the user's wishes. Next, the digitization unit digitizes the tickets reserved by the reservation unit. The digitization unit digitizes, for example, airline tickets, hotel reservation confirmations, and tourist attraction tickets. The digitization unit digitizes tickets in, for example, PDF format or two-dimensional code (e.g., QR code) format. The digitization unit can also send the digitized tickets to the user via email. The management unit then manages the tickets digitized by the digitization unit. For example, the management unit integrates multiple tickets into a single digital ticket. The management unit manages tickets using, for example, a database management system. The management unit can also store tickets using cloud storage. The interpretation unit and translation unit provide interpretation and translation when the user encounters difficulties while traveling. The interpretation unit and translation unit support user communication using, for example, real-time interpretation and machine translation. For example, if the user does not understand a menu at a local restaurant, the interpretation unit translates the menu and provides it to the user. The translation unit also provides interpretation when the user communicates with local people, supporting smooth communication.Finally, the diary unit generates a diary based on photos and videos taken by the user during the trip, impressions of the places visited, etc. The diary unit, for example, organizes the photos and videos taken by the user during the trip and provides them as a diary. The diary unit can also generate a text diary based on the impressions recorded by the user during the trip. This enables the travel support system according to the embodiment to efficiently accept the user's travel information and perform reservations, digitization, management, interpretation and translation, and diary generation.

[0070] The reception unit can accept the departure point, destination, travel period, and desired options entered by the user. For example, the reception unit accepts the user's input of the departure point, destination, travel period, and desired options into an online form. The reception unit can also accept travel information via telephone or email. For example, the reception unit can accept the user's input of the departure point, destination, travel period, and desired options over the telephone. Furthermore, the reception unit can accept the user's transmission of travel information via email. For example, the reception unit can accept the user's input of the departure point, destination, travel period, and desired options via email. This allows the user to enter detailed travel information.

[0071] The reservation unit can reserve a combination of airline tickets, hotels, and tickets to tourist attractions based on the information received by the reception unit. The reservation unit, for example, reserves airline tickets based on the information received by the reception unit. For example, the reservation unit can select the most cost-effective airline ticket based on the user's desired dates. The reservation unit can also reserve a hotel. For example, the reservation unit can select the most suitable hotel based on the hotel rank and room type desired by the user. The reservation unit can also reserve tickets to tourist attractions. For example, the reservation unit can arrange tickets to the user's desired tourist attractions. This allows the user to complete all arrangements with a single input.

[0072] The digitization unit can digitize airline tickets, hotel reservation confirmations, and tourist attraction tickets booked by the reservation unit. The digitization unit, for example, digitizes airline tickets booked by the reservation unit. For example, the digitization unit can digitize airline tickets into PDF format or two-dimensional code format. The digitization unit can also digitize hotel reservation confirmations. For example, the digitization unit can digitize hotel reservation confirmations into PDF format or two-dimensional code format. The digitization unit can also digitize tourist attraction tickets. For example, the digitization unit can digitize tourist attraction tickets into PDF format or two-dimensional code format. This eliminates the need for a user to carry multiple tickets.

[0073] The management unit can manage the tickets digitized by the digitization unit as a single digital ticket. For example, the management unit integrates airline tickets, hotel reservation confirmations, and tourist attraction tickets digitized by the digitization unit into a single digital ticket. For example, the management unit can provide multiple tickets as a single two-dimensional code. The management unit can also manage tickets using a database management system. For example, the management unit can store tickets using cloud storage. This allows users to manage all their tickets with just one smartphone.

[0074] The interpretation unit and translation unit can provide interpretation or translation when a user encounters a problem while in a local area. For example, if a user cannot understand a menu at a local restaurant, the interpretation unit and translation unit can translate the menu and provide it to the user. For example, the interpretation unit can translate the contents of the menu in real time and display it to the user. The translation unit can also provide interpretation when the user communicates with local people. For example, the translation unit can translate what the user says in real time and convey it to the local people. This allows the user to communicate smoothly while in a local area.

[0075] The diary section can generate a diary based on photos and videos taken by the user during the trip and impressions of the places visited. The diary section, for example, organizes the photos and videos taken by the user during the trip and provides them as a diary. For example, the diary section can organize the photos and videos taken by the user in chronological order and display them as a diary. The diary section can also generate a text diary based on the impressions recorded by the user during the trip. For example, the diary section can automatically organize the impressions entered by the user and provide them as a diary. This allows the user to easily manage and share their travel memories.

[0076] The travel assistance system further includes a reception unit that estimates a user's emotions and customizes the travel information input interface based on the estimated user emotions. For example, if the user is feeling stressed, the reception unit provides a simple and intuitive interface and minimizes input procedures. For example, if the user is relaxed, the reception unit can provide detailed input options and suggest a customizable input method. Furthermore, if the user is in a hurry, the reception unit can prioritize voice input to enable the user to quickly input travel information. For example, when the user inputs travel information using voice input, the reception unit uses voice recognition technology to convert it into text data, simplifying the input procedure. This makes it possible to provide an optimal input interface according to the user's emotions.

[0077] The reception unit can analyze the user's past travel history and suggest the optimal method for inputting travel information. For example, the reception unit can automatically display places that the user has frequently visited in the past as candidates. For example, the reception unit can preferentially suggest input methods (voice, text, etc.) that the user has used in the past. The reception unit can also predict and suggest departure and destination points to be used during a specific time period based on the user's past travel history. For example, the reception unit can suggest the next travel destination based on travel destinations that the user has visited in the past. This makes it possible to provide the optimal input method based on the user's past travel history.

[0078] When inputting travel information, the reception unit can filter the information based on the user's current living situation and areas of interest. For example, the reception unit can prioritize displaying tourist spots and activities that the user has recently taken an interest in. For example, the reception unit can suggest an appropriate travel plan based on the user's current living situation (e.g., how busy the user is at work or their family structure). The reception unit can also filter and display related travel information based on the user's areas of interest (e.g., history, nature, art). For example, the reception unit can suggest travel destinations and activities based on themes that the user is interested in. This makes it possible to provide optimal travel information according to the user's living situation and areas of interest.

[0079] The reception unit can estimate the user's emotions and determine the priority of travel information to be input based on the estimated user emotions. For example, if the user is feeling stressed, the reception unit can cause the user to input important information (departure point, destination, itinerary) with priority. For example, if the user is relaxed, the reception unit can cause the user to input detailed options (hotel rating, visiting tourist spots) with priority. Furthermore, if the user is in a hurry, the reception unit can cause the user to input only the most important information and allow the user to add details later. For example, if the user is in a hurry, the reception unit can cause the user to quickly input travel information using voice input. This makes it possible to provide an optimal input order for travel information according to the user's emotions.

[0080] When inputting travel information, the reception unit can prioritize input of highly relevant information by taking into account the user's geographical location information. The reception unit, for example, automatically suggests a departure point close to the user's current location. For example, the reception unit can suggest the user's optimal travel destination based on their current location. The reception unit can also suggest an optimal travel plan by taking into account the mode of transportation from the user's current location (e.g., car, train, plane). For example, the reception unit can suggest the most convenient departure point from the user's current location, simplifying the input of travel information. This makes it possible to provide optimal travel information based on the user's geographical location information.

[0081] The reception unit can analyze the user's social media activity when inputting travel information and cause the user to input related information. The reception unit can suggest related information based on, for example, travel destinations and activities shared by the user on social media. For example, the reception unit can suggest travel destinations based on places visited by the user's social media friends. The reception unit can also suggest travel plans based on events and tourist spots in which the user expressed interest on social media. For example, the reception unit can suggest the next travel destination based on travel destinations shared by the user on social media. This makes it possible to provide optimal travel information based on the user's social media activity.

[0082] The reservation unit can estimate the user's emotions and adjust the way the reservation is expressed based on the estimated user's emotions. For example, if the user is relaxed, the reservation unit provides detailed reservation information and presents many options. For example, if the user is in a hurry, the reservation unit displays only the most important information, allowing the user to complete the reservation quickly. The reservation unit can also provide a simple and intuitive reservation interface if the user is feeling stressed. For example, if the user is feeling stressed, the reservation unit allows the user to complete the reservation with simple operations. This makes it possible to provide an optimal way to express the reservation according to the user's emotions.

[0083] The reservation unit can adjust the level of reservation detail based on the importance of the trip when making a reservation. For example, for an important business trip, the reservation unit can provide detailed reservation information and allow the user to review all options. For example, for a family trip, the reservation unit can provide reservation options tailored to the needs of the entire family. The reservation unit can also provide a simple and quick reservation process for a short leisure trip. For example, for a short leisure trip, the reservation unit can display only the most important information to allow the user to complete the reservation quickly. This allows the reservation unit to provide the optimal level of reservation detail depending on the importance of the trip.

[0084] The reservation unit can apply different reservation algorithms depending on the travel category when making a reservation. For example, in the case of a business trip, the reservation unit prioritizes reserving the most suitable conference facilities or business hotels. For example, in the case of a leisure trip, the reservation unit can prioritize reserving tourist spots and activities. In addition, in the case of a family trip, the reservation unit can also prioritize reserving family-friendly accommodations and activities. For example, in the case of a family trip, the reservation unit can suggest and reserve activities that the whole family can enjoy. This makes it possible to provide the optimal reservation algorithm depending on the travel category.

[0085] The reservation unit can estimate the user's emotions and adjust the length of the reservation based on the estimated user emotions. For example, if the user is relaxed, the reservation unit provides detailed reservation procedures and presents many options. For example, if the user is in a hurry, the reservation unit can display only the most important information and allow the user to complete the reservation quickly. The reservation unit can also provide a simple and intuitive reservation interface if the user is feeling stressed. For example, if the user is feeling stressed, the reservation unit can allow the user to complete the reservation with simple operations. This makes it possible to provide the optimal reservation length according to the user's emotions.

[0086] When making a reservation, the reservation unit can determine the priority of reservations based on when the trip is submitted. For example, if the trip is submitted early, the reservation unit will prioritize reserving the most cost-effective option. For example, if the trip is submitted late, the reservation unit can reserve the optimal option taking into account availability. The reservation unit can also make reservations taking into account cancellation policies depending on when the trip is submitted. For example, if the trip is submitted early, the reservation unit can select an option with a flexible cancellation policy. This makes it possible to provide optimal reservation priority depending on when the trip is submitted.

[0087] The reservation unit can adjust the reservation order based on the travel relevance when making a reservation. For example, the reservation unit prioritizes reserving options with high travel relevance (e.g., airline tickets and hotels). For example, the reservation unit can postpone options with low travel relevance (e.g., tickets to tourist attractions). The reservation unit can also suggest an optimal reservation order based on the travel relevance. For example, the reservation unit can prioritize reserving options with high travel relevance and suggest them to the user. This makes it possible to provide an optimal reservation order according to the travel relevance.

[0088] The digitization unit can estimate the user's emotions and adjust the digitization method based on the estimated user's emotions. For example, if the user is relaxed, the digitization unit provides detailed digitization procedures and presents many options. For example, if the user is in a hurry, the digitization unit can display only the most important information and quickly complete digitization. The digitization unit can also provide a simple and intuitive digitization interface if the user is stressed. For example, if the user is stressed, the digitization unit can complete digitization with simple operations. This makes it possible to provide an optimal digitization method according to the user's emotions.

[0089] The digitization unit can adjust the level of detail of digitization based on the importance of the ticket during digitization. For example, the digitization unit can provide a detailed digitization procedure for important airline tickets or hotel reservation confirmations. For example, the digitization unit can provide a simple and quick digitization procedure for tickets to tourist attractions. The digitization unit can also adjust the level of detail of digitization based on the importance of the ticket. For example, the digitization unit can digitize important airline tickets or hotel reservation confirmations in detail and provide them to the user. This makes it possible to provide an optimal level of detail of digitization based on the importance of the ticket.

[0090] The digitization unit can apply different digitization algorithms depending on the ticket category during digitization. For example, in the case of an airline ticket, the digitization unit provides detailed digitization procedures and allows the user to confirm all information. For example, in the case of a hotel reservation confirmation, the digitization unit can digitize mainly accommodation information. In addition, in the case of a ticket for a tourist attraction, the digitization unit can digitize mainly admission information. For example, the digitization unit can easily digitize tickets for a tourist attraction and provide them to the user. This makes it possible to provide an optimal digitization algorithm depending on the ticket category.

[0091] The digitization unit can estimate the user's emotions and determine the priority of digitization based on the estimated user's emotions. For example, if the user is relaxed, the digitization unit provides detailed digitization procedures and presents many options. For example, if the user is in a hurry, the digitization unit can display only the most important information and quickly complete digitization. The digitization unit can also provide a simple and intuitive digitization interface if the user is stressed. For example, if the user is stressed, the digitization unit can complete digitization with simple operations. This makes it possible to provide optimal digitization priorities according to the user's emotions.

[0092] During digitization, the digitization department can adjust the order of digitization based on the time of ticket submission. For example, if the ticket is submitted early, the digitization department prioritizes the digitization of the most cost-effective option. For example, if the ticket is submitted late, the digitization department can digitize the optimal option taking into account availability. The digitization department can also digitize tickets taking into account the cancellation policy depending on the time of ticket submission. For example, if the ticket is submitted early, the digitization department can select an option with a flexible cancellation policy. This makes it possible to provide the optimal digitization order depending on the time of ticket submission.

[0093] During digitization, the digitization unit can adjust the order of digitization based on the relevance of the tickets. For example, the digitization unit prioritizes digitization of options with high ticket relevance (e.g., airline tickets and hotels). For example, the digitization unit can postpone options with low ticket relevance (e.g., tickets to tourist attractions). The digitization unit can also suggest an optimal digitization order based on the ticket relevance. For example, the digitization unit can prioritize digitization of options with high ticket relevance and suggest them to the user. This makes it possible to provide an optimal digitization order according to the ticket relevance.

[0094] The management unit can estimate the user's emotions and adjust the ticket management method based on the estimated user emotions. For example, if the user is relaxed, the management unit provides detailed ticket management procedures and presents many options. For example, if the user is in a hurry, the management unit can display only the most important information, allowing the user to quickly complete ticket management. The management unit can also provide a simple and intuitive ticket management interface if the user is stressed. For example, if the user is stressed, the management unit can allow the user to complete ticket management with simple operations. This makes it possible to provide an optimal ticket management method according to the user's emotions.

[0095] When managing tickets, the management unit can select the optimal management method by referring to the user's past travel history. The management unit can, for example, suggest the optimal management method based on ticket management methods used by the user in the past. For example, the management unit can prioritize management of frequently used tickets based on the user's past travel history. The management unit can also analyze the user's past travel history and suggest the most efficient ticket management method. For example, the management unit can suggest a ticket management method for the user's next travel destination based on travel destinations the user has visited in the past. This makes it possible to provide the optimal ticket management method based on the user's past travel history.

[0096] The management unit can customize the management method based on the user's current lifestyle when managing tickets. For example, if the user is busy, the management unit provides a simple and quick ticket management procedure. For example, if the user is relaxed, the management unit can provide a detailed ticket management procedure and present many options. The management unit can also suggest the optimal ticket management method based on the user's current lifestyle (e.g., family composition or busyness at work). For example, if the user is busy, the management unit can complete ticket management with simple operations. This makes it possible to provide the optimal ticket management method according to the user's lifestyle.

[0097] The management unit can estimate the user's emotions and determine ticket management priorities based on the estimated user emotions. For example, if the user is relaxed, the management unit provides detailed ticket management procedures and presents many options. For example, if the user is in a hurry, the management unit can display only the most important information, allowing the user to quickly complete ticket management. The management unit can also provide a simple and intuitive ticket management interface if the user is stressed. For example, if the user is stressed, the management unit can allow the user to complete ticket management with simple operations. This makes it possible to provide optimal ticket management priorities according to the user's emotions.

[0098] When managing tickets, the management unit can select the optimal management method taking into account the user's geographical location information. For example, the management unit prioritizes management of departure points that are closest to the user's current location. For example, the management unit can suggest the optimal ticket management method based on the user's current location. The management unit can also provide the optimal ticket management procedure based on the user's geographical location information. For example, the management unit can suggest the most convenient departure point from the user's current location, simplifying ticket management. This makes it possible to provide the optimal ticket management method based on the user's geographical location information.

[0099] The management unit can analyze the user's social media activity and suggest management methods when managing tickets. For example, the management unit prioritizes managing related tickets based on travel destinations and activities shared by the user on social media. For example, the management unit can suggest ticket management methods based on places visited by the user's social media friends. The management unit can also provide optimal ticket management procedures based on events and tourist destinations in which the user has shown interest on social media. For example, the management unit can suggest ticket management methods for the user's next travel destination based on travel destinations shared by the user on social media. This makes it possible to provide optimal ticket management methods based on the user's social media activity.

[0100] The interpretation and translation units can estimate the user's emotions and adjust the interpretation and translation method based on the estimated user's emotions. For example, if the user is nervous, the interpretation and translation units can perform interpretation and translation in a calm voice. For example, if the user is relaxed, the interpretation and translation units can perform interpretation and translation in a cheerful voice. The interpretation and translation units can also perform quick and concise interpretation and translation when the user is in a hurry. For example, if the user is in a hurry, the interpretation and translation units can complete interpretation and translation with simple operations. This makes it possible to provide the optimal interpretation and translation method according to the user's emotions.

[0101] The interpretation and translation units can select the optimal interpretation and translation method by referring to the user's past language usage history when interpreting and translating. For example, the interpretation and translation units can suggest the optimal interpretation and translation method based on the languages ​​the user has used in the past. For example, the interpretation and translation units can prioritize interpretation and translation of frequently used languages ​​based on the user's past language usage history. The interpretation and translation units can also analyze the user's past language usage history and suggest the most efficient interpretation and translation method. For example, the interpretation and translation units can suggest the next interpretation and translation method based on the languages ​​the user has used in the past. This makes it possible to provide the optimal interpretation and translation method based on the user's past language usage history.

[0102] The interpretation and translation units can customize the interpretation and translation means based on the user's current living situation during interpretation and translation. For example, if the user is busy, the interpretation and translation units can provide simple and quick interpretation and translation procedures. For example, if the user is relaxed, the interpretation and translation units can provide detailed interpretation and translation procedures and present many options. The interpretation and translation units can also suggest the optimal interpretation and translation method based on the user's current living situation (e.g., family composition or work busyness). For example, if the user is busy, the interpretation and translation units can complete interpretation and translation with simple operations. This makes it possible to provide the optimal interpretation and translation means according to the user's living situation.

[0103] The interpretation and translation units can estimate the user's emotions and determine the priority of interpretation and translation based on the estimated user's emotions. For example, if the user is nervous, the interpretation and translation units can prioritize interpreting and translating important information. For example, if the user is relaxed, the interpretation and translation units can prioritize interpreting and translating detailed information. In addition, if the user is in a hurry, the interpretation and translation units can interpret and translate only the most important information. For example, if the user is in a hurry, the interpretation and translation units can complete interpretation and translation with simple operations. This makes it possible to provide optimal interpretation and translation priorities according to the user's emotions.

[0104] The interpretation and translation department can select the optimal interpretation and translation method by taking into account the user's geographical location information when interpreting and translating. For example, the interpretation and translation department can prioritize interpretation and translation in locations close to the user's current location. For example, the interpretation and translation department can suggest the optimal interpretation and translation method based on the user's current location. The interpretation and translation department can also provide the optimal interpretation and translation procedure based on the user's geographical location information. For example, the interpretation and translation department can suggest interpretation and translation in the location most convenient for the user's current location, simplifying the interpretation and translation. This makes it possible to provide the optimal interpretation and translation method based on the user's geographical location information.

[0105] When interpreting or translating, the interpretation and translation department can analyze the user's social media activity to suggest interpretation and translation methods. For example, the interpretation and translation department can prioritize relevant interpretation and translation based on travel destinations and activities shared by the user on social media. For example, the interpretation and translation department can suggest interpretation and translation methods based on places visited by the user's social media friends. The interpretation and translation department can also provide optimal interpretation and translation procedures based on events and tourist destinations in which the user expressed interest on social media. For example, the interpretation and translation department can suggest the next interpretation and translation method based on travel destinations shared by the user on social media. This makes it possible to provide optimal interpretation and translation methods based on the user's social media activity.

[0106] The diary unit can estimate the user's emotions and adjust the diary generation method based on the estimated user's emotions. For example, when the user is relaxed, the diary unit provides a detailed diary generation procedure and presents many options. For example, when the user is in a hurry, the diary unit can display only the most important information and quickly generate a diary. The diary unit can also provide a simple and intuitive diary generation interface when the user is feeling stressed. For example, when the user is feeling stressed, the diary unit can generate a diary with simple operations. This makes it possible to provide an optimal diary generation method according to the user's emotions.

[0107] When creating a diary, the diary unit can select the optimal diary creation method by referring to the user's past travel history. The diary unit, for example, can suggest the optimal diary creation method based on diaries created by the user in the past. For example, the diary unit can prioritize recording frequently visited places in the diary from the user's past travel history. The diary unit can also analyze the user's past travel history and suggest the most efficient diary creation method. For example, the diary unit can suggest a diary creation method for the user's next travel destination based on travel destinations the user has visited in the past. This makes it possible to provide the optimal diary creation method based on the user's past travel history.

[0108] The diary unit can customize the diary means based on the user's current living situation when creating a diary. For example, if the user is busy, the diary unit provides a simple and quick diary creation procedure. For example, if the user is relaxed, the diary unit can provide a detailed diary creation procedure and present many options. The diary unit can also suggest an optimal diary creation method based on the user's current living situation (for example, family composition or busyness at work). For example, if the user is busy, the diary unit can create a diary with simple operations. This makes it possible to provide an optimal diary creation means according to the user's living situation.

[0109] The diary unit can estimate the user's emotions and determine the priority of diary entries based on the estimated user emotions. For example, when the user is relaxed, the diary unit provides a detailed diary creation procedure and presents many options. For example, when the user is in a hurry, the diary unit can display only the most important information and quickly create a diary entry. The diary unit can also provide a simple and intuitive diary creation interface when the user is feeling stressed. For example, when the user is feeling stressed, the diary unit can create a diary entry with simple operations. This makes it possible to provide optimal diary priority according to the user's emotions.

[0110] When creating a diary, the diary unit can select the optimal diary creation method by taking into consideration the user's geographical location information. For example, the diary unit prioritizes recording events that occur in locations close to the user's current location in the diary. For example, the diary unit can suggest the optimal diary creation method based on the user's current location. The diary unit can also provide the optimal diary creation procedure based on the user's geographical location information. For example, the diary unit can suggest events that occur in locations that are most convenient for the user from their current location, simplifying diary creation. This makes it possible to provide the optimal diary creation method based on the user's geographical location information.

[0111] When creating a diary entry, the diary unit can analyze the user's social media activities and suggest a diary entry method. For example, the diary unit can prioritize creating a diary entry based on travel destinations and activities shared by the user on social media. For example, the diary unit can suggest a diary entry method by referring to places visited by the user's social media friends. The diary unit can also provide an optimal diary entry procedure based on events and tourist spots in which the user expressed interest on social media. For example, the diary unit can suggest the next diary entry method based on travel destinations shared by the user on social media. This makes it possible to provide an optimal diary entry method based on the user's social media activities. === Hard Collateral 1-1 === Each of the multiple elements, including the reception unit, reservation unit, digitization unit, management unit, interpretation unit, translation unit, diary unit, and emotion estimation-based customization reception unit, is implemented, for example, by at least one of the smart device 14 and the data processing device 12. For example, the reception unit is implemented by the control unit 46A of the smart device 14 and receives travel information entered by the user. The reservation unit is implemented by the specific processing unit 290 of the data processing device 12 and reserves optimal tickets. The digitization unit is implemented by the control unit 46A of the smart device 14 and digitizes reserved tickets. The management unit is implemented by the specific processing unit 290 of the data processing device 12 and manages the digitized tickets. The interpretation unit and translation unit are implemented by the control unit 46A of the smart device 14 and provide on-site interpretation and translation. The diary unit is implemented by the specific processing unit 290 of the data processing device 12 and generates a diary based on photos and videos taken during the trip. The emotion estimation-based customization reception unit is realized by, for example, the control unit 46A of the smart device 14, and provides an input interface according to the emotion of the user. === Hard Collateral 1-2 === Each of the multiple elements, including the reception unit, reservation unit, digitization unit, management unit, interpretation unit, translation unit, diary unit, and emotion estimation-based customization reception unit, is realized by, for example, at least one of the smart glasses 214 and the data processing device 12. For example, the reception unit is realized by the control unit 46A of the smart glasses 214 and receives travel information entered by the user. The reservation unit is realized by, for example, the specific processing unit 290 of the data processing device 12 and reserves optimal tickets. The digitization unit is realized by, for example, the control unit 46A of the smart glasses 214 and digitizes reserved tickets. The management unit is realized by, for example, the specific processing unit 290 of the data processing device 12 and manages the digitized tickets. The interpretation unit and translation unit are realized by, for example, the control unit 46A of the smart glasses 214 and perform on-site interpretation and translation. The diary unit is realized by, for example, the specific processing unit 290 of the data processing device 12 and generates a diary based on photos and videos taken during the trip. The emotion estimation-based customization reception unit is realized by, for example, the control unit 46A of the smart glasses 214, and provides an input interface according to the user's emotion. === Hard Collateral 1-3 === Each of the multiple elements, including the reception unit, reservation unit, digitization unit, management unit, interpretation unit, translation unit, diary unit, and emotion estimation-based customization reception unit, is implemented, for example, by at least one of the headset terminal 314 and the data processing device 12. For example, the reception unit is implemented by the control unit 46A of the headset terminal 314 and receives travel information entered by the user. The reservation unit is implemented, for example, by the specific processing unit 290 of the data processing device 12 and reserves optimal tickets. The digitization unit is implemented, for example, by the control unit 46A of the headset terminal 314 and digitizes reserved tickets. The management unit is implemented, for example, by the specific processing unit 290 of the data processing device 12 and manages the digitized tickets. The interpretation unit and translation unit are implemented, for example, by the control unit 46A of the headset terminal 314 and perform on-site interpretation and translation. The diary unit is implemented, for example, by the specific processing unit 290 of the data processing device 12 and generates a diary based on photos and videos taken during the trip. The emotion estimation-based customization reception unit is realized by, for example, the control unit 46A of the headset type terminal 314, and provides an input interface according to the user's emotion. === Hard Collateral 1-4 === Each of the multiple elements, including the reception unit, reservation unit, digitization unit, management unit, interpretation unit and translation unit, diary unit, and emotion estimation-based customization reception unit, is realized, for example, by at least one of the robot 414 and the data processing device 12. For example, the reception unit is realized by the control unit 46A of the robot 414 and receives travel information entered by the user. The reservation unit is realized, for example, by the specific processing unit 290 of the data processing device 12 and reserves optimal tickets. The digitization unit is realized, for example, by the control unit 46A of the robot 414 and digitizes reserved tickets. The management unit is realized, for example, by the specific processing unit 290 of the data processing device 12 and manages the digitized tickets. The interpretation unit and translation unit are realized, for example, by the control unit 46A of the robot 414 and perform on-site interpretation and translation. The diary unit is realized, for example, by the specific processing unit 290 of the data processing device 12 and generates a diary based on photos and videos taken during the trip. The emotion estimation-based customization reception unit is realized by, for example, the control unit 46A of the robot 414, and provides an input interface according to the user's emotion.

[0112] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0113] The travel assistance system can further include a health management unit that monitors the user's health status and supports health management during the trip. For example, the health management unit can monitor the user's heart rate and blood pressure in real time and issue an alert if an abnormality is detected. The health management unit can also manage the user's diet and exercise records and suggest healthy travel plans. Furthermore, the health management unit can provide reminders for medications the user needs during the trip and support medication intake. This allows the user to enjoy their trip with peace of mind.

[0114] The reception unit can estimate the user's emotions and suggest travel plans based on the estimated emotions. For example, if the user is feeling stressed, it can suggest relaxing travel destinations and activities. If the user is excited, it can suggest adventurous or exciting activities. Also, if the user is sad, it can suggest travel destinations and activities that have a healing effect. This makes it possible to provide the optimal travel plan according to the user's emotions.

[0115] The reservation unit can analyze the user's past travel history and propose optimal travel plans. For example, it can propose the user's next travel destination or activity based on the places the user has visited and the activities they have participated in in the past. It can also propose similar facilities based on the user's past favorite hotels and restaurants. It can also propose travel plans tailored to specific seasons or events based on the user's past travel history. This makes it possible to provide optimal travel plans tailored to the user's preferences.

[0116] The digitization unit can estimate the user's emotions and adjust the display method of the digitized ticket based on the estimated emotions. For example, if the user is feeling stressed, a simple and intuitive display method can be provided. If the user is relaxed, a display method including detailed information can be provided. Also, if the user is in a hurry, only the most important information can be displayed for quick access. This makes it possible to provide the optimal ticket display method according to the user's emotions.

[0117] The management unit can propose optimal travel plans taking into account the user's geographical location information. For example, it can propose tourist spots and activities close to the user's current location. It can also propose optimal means of transportation and routes based on the user's current location. Furthermore, it can provide local weather and event information based on the user's geographical location information and adjust the travel plan. This makes it possible to provide optimal travel plans based on the user's geographical location information.

[0118] The interpretation and translation units can estimate the user's emotions and adjust the interpretation and translation method based on the estimated emotions. For example, if the user is nervous, the interpretation and translation can be performed in a calm voice. If the user is relaxed, the interpretation and translation can be performed in a cheerful voice. Also, if the user is in a hurry, the interpretation and translation can be performed quickly and concisely. This makes it possible to provide the optimal interpretation and translation method according to the user's emotions.

[0119] The diary unit can analyze the user's social media activities and suggest the optimal diary creation method. For example, it can create a related diary based on travel destinations and activities shared by the user on social media. It can also suggest a diary creation method by referring to places visited by the user's social media friends. It can also provide the optimal diary creation procedure based on events and tourist spots that the user has shown interest in on social media. This makes it possible to provide the optimal diary creation method based on the user's social media activities.

[0120] The reception unit can estimate the user's emotions and customize the travel information input interface based on the estimated emotions. For example, if the user is feeling stressed, a simple and intuitive interface can be provided to minimize input steps. If the user is relaxed, detailed input options can be provided and a customizable input method can be suggested. Also, if the user is in a hurry, voice input can be prioritized to enable the user to input travel information quickly. In this way, an optimal input interface can be provided according to the user's emotions.

[0121] The reservation unit can estimate the user's emotions and adjust the way the reservation is displayed based on the estimated emotions. For example, if the user is relaxed, detailed reservation information can be provided and many options can be presented. If the user is in a hurry, only the most important information can be displayed, allowing the user to complete the reservation quickly. Also, if the user is stressed, a simple and intuitive reservation interface can be provided. This makes it possible to provide the optimal reservation display method according to the user's emotions.

[0122] The management unit can suggest optimal travel plans by referencing the user's past travel history. For example, it can suggest the user's next travel destination or activity based on the places the user has visited or the activities they have participated in in the past. It can also suggest similar facilities based on the user's past favorite hotels and restaurants. It can also suggest travel plans tailored to specific seasons or events based on the user's past travel history. This makes it possible to provide optimal travel plans tailored to the user's preferences.

[0123] The processing flow of the second embodiment will be briefly explained below.

[0124] Step 1: The reception unit accepts travel information from the user. The travel information entered by the user includes, for example, the departure point, destination, travel period, desired options, etc. The reception unit accepts the travel information via an online form, telephone, or email. Step 2: The reservation unit reserves tickets based on the information received by the reception unit. The reservation unit reserves the optimal combination of air tickets, hotels, and tickets to tourist attractions, and also handles additional options (such as arranging a rental car or booking special activities) according to the user's wishes. Step 3: The Digitization Department digitizes the tickets reserved by the Reservation Department. The Digitization Department digitizes airline tickets, hotel reservation confirmations, and tourist attraction tickets in PDF format or 2D code format and sends them to the user via email. Step 4: The Management Department manages the tickets digitized by the Digitization Department. The Management Department integrates multiple tickets into a single digital ticket and manages and stores the tickets using a database management system or cloud storage. Step 5: The interpretation and translation departments provide interpretation and translation services when users encounter difficulties in their local area. The interpretation department translates menus when users cannot understand them at local restaurants, and the translation department interprets when users communicate with local people. Step 6: The diary section generates a diary based on the photos and videos taken by the user during the trip, impressions of the places visited, etc. The diary section organizes the photos and videos taken by the user during the trip and generates a text diary.

[0125] 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.

[0126] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> Examples of the generative AI include a neural network (NN) and a neural network (NN). 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 (e.g., still image data or video data). 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 one or more data formats of voice data, text data, image data, etc. 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 may perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processing of each of the above-mentioned parts is performed by an AI, the processing may be performed in part or entirely by the AI, but is not limited to these examples. The processing performed by an AI including the generative AI may be replaced with rule-based processing, and rule-based processing may be replaced with processing performed by an AI including the generative AI.

[0127] 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.

[0128] The correspondence between each part and the device or control part is not limited to the example described above, and various modifications are possible.

[0129] [Second embodiment] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0130] 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0131] 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.

[0132] 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.

[0133] 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.

[0134] 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).

[0135] 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.

[0136] 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.

[0137] The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

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

[0139] 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.

[0140] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0141] The specific processing unit 290 transmits the result of the specific processing to the 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.

[0142] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt including an instruction, as well as inference data such as audio data indicating speech, text data indicating text, and image data indicating an image (e.g., still image data or video data). 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 one or more data formats, such as audio data, text data, and image 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 models 58 include AIs other than the generation AI. Examples of AIs other than the generation AI include, but are not limited to, linear regression, logistic regression, decision trees, random forests, support vector machines (SVMs), k-means clustering, convolutional neural networks (CNNs), recurrent neural networks (RNNs), generative adversarial networks (GANs), and naive Bayes. These AIs can perform various types of processing, but are not limited to these examples. The AI ​​may also be an AI agent. When the processing of each of the above-described parts is performed by an AI, the processing may be performed in part or entirely by the AI, but is not limited to these examples. Processing performed by an AI, including the generation AI, may be replaced with rule-based processing, and rule-based processing may be replaced with processing performed by an AI, including the generation AI.

[0143] 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.

[0144] The correspondence between each part and the device or control part is not limited to the example described above, and various modifications are possible.

[0145] [Third embodiment] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0146] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0147] 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.

[0148] 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.

[0149] 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.

[0150] 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).

[0151] 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.

[0152] 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.

[0153] 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.

[0154] 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.

[0155] In the headset type terminal 314, the identification process is performed by the processor 46. A identification program 60 is stored in the storage 50. The processor 46 reads the identification program 60 from the storage 50 and executes the read identification program 60 on the RAM 48. The identification process is realized by the processor 46 operating as a control unit 46A in accordance with the identification program 60 executed on the RAM 48. Note that the headset type terminal 314 has a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can also perform processing similar to that of the identification processing unit 290 using these models.

[0156] 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.

[0157] 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.

[0158] 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 including an instruction, as well as inference data such as audio data indicating speech, text data indicating text, and image data indicating an image (e.g., still image data or video data). 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 one or more data formats, such as audio data, text data, and image 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 models 58 include AIs other than the generation AI. Examples of AIs other than the generation AI include, but are not limited to, linear regression, logistic regression, decision trees, random forests, support vector machines (SVMs), k-means clustering, convolutional neural networks (CNNs), recurrent neural networks (RNNs), generative adversarial networks (GANs), and naive Bayes. These AIs can perform various types of processing, but are not limited to these examples. The AI ​​may also be an AI agent. When the processing of each of the above-described parts is performed by an AI, the processing may be performed in part or entirely by the AI, but is not limited to these examples. Processing performed by an AI, including the generation AI, may be replaced with rule-based processing, and rule-based processing may be replaced with processing performed by an AI, including the generation AI.

[0159] 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.

[0160] The correspondence between each part and the device or control part is not limited to the example described above, and various modifications are possible.

[0161] [Fourth embodiment] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0162] 7, a data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0163] 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.

[0164] 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.

[0165] 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.

[0166] 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).

[0167] 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.

[0168] 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.

[0169] 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.

[0170] 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.

[0171] 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.

[0172] In the robot 414, the processor 46 performs the identification process. The storage 50 stores the identification program 60. The processor 46 reads the identification program 60 from the storage 50 and executes the read identification program 60 on the RAM 48. The identification process is realized by the processor 46 operating as the control unit 46A in accordance with the identification program 60 executed on the RAM 48. The robot 414 also has a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can perform the same process as the identification processing unit 290 using these models.

[0173] 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.

[0174] 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.

[0175] 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 including an instruction, as well as inference data such as audio data indicating speech, text data indicating text, and image data indicating an image (e.g., still image data or video data). 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 one or more data formats, such as audio data, text data, and image 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 models 58 include AIs other than the generation AI. Examples of AIs other than the generation AI include, but are not limited to, linear regression, logistic regression, decision trees, random forests, support vector machines (SVMs), k-means clustering, convolutional neural networks (CNNs), recurrent neural networks (RNNs), generative adversarial networks (GANs), and naive Bayes. These AIs can perform various types of processing, but are not limited to these examples. The AI ​​may also be an AI agent. When the processing of each of the above-described parts is performed by an AI, the processing may be performed in part or entirely by the AI, but is not limited to these examples. Processing performed by an AI, including the generation AI, may be replaced with rule-based processing, and rule-based processing may be replaced with processing performed by an AI, including the generation AI.

[0176] 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.

[0177] The correspondence between each part and the device or control part is not limited to the example described above, and various modifications are possible.

[0178] 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.

[0179] 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.

[0180] 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.

[0181] 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).

[0182] 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.

[0183] 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."

[0184] 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.

[0185] 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.

[0186] 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.

[0187] 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.

[0188] 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.

[0189] 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.

[0190] 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.

[0191] 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.

[0192] 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.

[0193] 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.

[0194] 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.

[0195] 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.

[0196] [Explanation of symbols]

[0197] 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 reception unit that receives travel information from a user; a reservation unit that reserves tickets based on the information received by the reception unit; an electronic conversion unit that converts the tickets reserved by the reservation unit into electronic tickets; a management unit that manages the tickets digitized by the digitization unit; an interpretation department and a translation department that performs on-site interpretation and translation based on tickets managed by the management department; a diary unit that generates a diary based on the information managed by the management unit. A system characterized by:

2. The reception unit Accepts user input of origin, destination, trip duration, and desired options 2. The system of claim 1.

3. The reservation unit Based on the information received by the reception unit, a combination of air tickets, hotels, and tickets to sightseeing spots is reserved.

2. The system of claim 1.

4. The digitization unit Digitize airline tickets, hotel reservation confirmations, and tourist attraction tickets booked by the reservation department 2. The system of claim 1.

5. The management unit The tickets digitized by the digitization unit are managed as one digital ticket.

2. The system of claim 1.

6. The interpretation and translation departments are: Providing interpretation or translation when users encounter problems locally 2. The system of claim 1.

7. The diary section Generate a diary based on photos and videos taken by the user during their trip and their impressions of the places they visited 2. The system of claim 1.

8. The reception unit To estimate a user's emotion and customize a travel information input interface based on the estimated user's emotion.

2. The system of claim 1.

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