System

Abstract

A system is provided.SOLUTION: A system comprising: means for inputting data based on a travel destination and hobbies / preferences specified by a user; means for acquiring related travel destination information, restaurant information, and accommodation information from an external database; means for analyzing the acquired information and generating an optimal travel route for the user's preferences; means for visually displaying the generated travel route on a map; and means for collecting post-travel reviews from the user and updating the database.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] Traditionally, when planning a trip, the task of determining the optimal route based on each individual's preferences and destinations was extremely time-consuming and labor-intensive. Furthermore, for group trips, accommodating each member's hobbies and preferences is even more cumbersome, often resulting in significant stress during the planning stage. As a result, there was a lack of a system for incorporating post-trip feedback (reviews) to improve suggestions for the next trip, making it difficult to continuously improve each individual's travel experience. [Means for solving the problem]

[0005] The present invention is a system that includes a means for inputting data based on a user's specified travel destination and hobbies and preferences; a means for acquiring related travel destination information, restaurant information, and accommodation information from an external database; a means for analyzing the acquired information and generating a travel route that is optimal for the user's preferences; a means for visually displaying the generated travel route on a map; and a means for collecting post-trip reviews from users and updating the database. This allows users to quickly obtain optimal travel plans based on the input information, and the accuracy of suggestions can be continuously improved through reviews. Furthermore, for group travel, the system can automatically generate optimal plans that take into account the preferences of each member.

[0006] "User" refers to a person who uses the System to input travel destinations, hobbies and preferences.

[0007] "Travel destination" refers to a destination to which a user is planning a trip.

[0008] "Hobbies and Preferences" refers to the activities, food and drink that a User is particularly interested in and that they consider important in their travel plans.

[0009] "External databases" refer to multiple sources of information that provide travel destination information, restaurant information, and accommodation information.

[0010] "Destination Information" refers to information about tourist attractions and activities related to a destination.

[0011] "Restaurant Information" refers to information about restaurants, cafes, or other dining establishments at a destination.

[0012] "Accommodation Information" refers to information about hotels, inns, or other accommodation options.

[0013] "Means of acquisition" refers to the process or method for collecting the required information from external databases.

[0014] "Means of analysis" refers to the process or method of filtering, sorting, and analyzing acquired data to suit the user's interests and preferences.

[0015] "Travel Route" means an optimized travel itinerary, including accommodations, dining options, and tourist attractions.

[0016] "Means for generating" refers to the process or method for using the analyzed data to generate optimal travel routes.

[0017] "Means for visually displaying on a map" refers to a process or method for displaying the generated travel route on a map in an easy-to-understand manner for the user.

[0018] "Review" means the feedback or rating provided by a User after a Trip.

[0019] "Means of collection" refers to the process or method for obtaining reviews and feedback from users.

[0020] "Means for updating the database" refers to the process or method for supplementing existing database information based on collected reviews to improve the accuracy of recommendations. [Brief explanation of the drawings]

[0021] [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. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0022] 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.

[0023] First, the terms used in the following description will be explained.

[0024] 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, a 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), and an APU (Accelerated Processing Unit).

[0025] 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.

[0026] 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.

[0027] 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), Bluetooth (registered trademark), etc.

[0028] 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."

[0029] [First embodiment]

[0030] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0031] 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.

[0032] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the 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).

[0033] 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.

[0034] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. 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 acquires the data indicating the user input.

[0035] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The 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.

[0036] 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.

[0037] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0038] 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.

[0039] 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.

[0040] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0041] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0042] 1. Overall Overview:

[0043] The system of this invention proposes optimal travel plans based on travel destination and hobby / preference information entered by the user. This system is realized by a program that obtains travel destination information, restaurant information, and accommodation information from an external database and analyzes and processes the information according to the user's request.

[0044] 2. Accept user input:

[0045] The user inputs details about the trip (travel destination, hobbies, preferences, number of people, etc.) into the terminal. The input information is sent to the server.

[0046] 3. Data Collection:

[0047] The server sends queries to external databases (e.g., restaurant information service, travel accommodation information service, map information service) based on the input travel destination and hobbies / preferences, thereby collecting related travel destination information, restaurant information, and accommodation information.

[0048] 4. Data Analysis:

[0049] The collected data is analyzed internally on the server. The analysis process selects and prioritizes the options that best match the user's hobbies and preferences. For example, if the user likes Japanese food, Japanese restaurants will be prioritized from the collected restaurant information.

[0050] 5. Travel route generation:

[0051] The server then generates an optimal travel route based on the analyzed data. This route generation process takes into consideration the user's travel time, the tourist spots they plan to visit, and the relative locations of their accommodations.

[0052] 6. Route display and suggestions:

[0053] The generated travel route is sent to the device and displayed visually. The device uses map services such as Yahoo! Maps to display the travel route in an easy-to-understand manner for the user. The user can check specific visiting spots and travel routes on the map.

[0054] 7. Enter your reviews and update the database:

[0055] After traveling, users input reviews of the places they visited and the services they used into their devices. This review information is sent to the server and stored in a collection database. The server analyzes the collected reviews and updates the database to improve the accuracy of future suggestions.

[0056] Specific examples

[0057] As an example, we will explain how the system processes when a user inputs "I want to go to Tokyo," "I like Japanese restaurants," and "I want to stay at a hot spring inn."

[0058] 1. Accept user input:

[0059] The user inputs "Tokyo," "Japanese cuisine," "hot spring inn," "three-day trip," and "budget of 100,000 yen" into the terminal. The input information is sent to the server.

[0060] 2. Data Collection:

[0061] The server collects restaurant information, accommodation information, and tourist spot information that correspond to "Tokyo," "Japanese cuisine," and "hot spring inns" from external databases. For example, it obtains Japanese restaurant information from PayPay Gourmet and hot spring inn information from Yahoo! Travel.

[0062] 3. Data Analysis:

[0063] The server analyzes the collected data and prioritizes the options that best match the user's preferences. It sorts the list of Japanese restaurants by food rating and distance, and selects the best restaurant that fits within the user's budget.

[0064] 4. Travel route generation:

[0065] Based on the analyzed data, a route is generated that includes visiting tourist spots in Tokyo in the morning on the first day, a Japanese lunch in the afternoon, and checking into a hot spring inn in the evening.

[0066] 5. Route display and suggestions:

[0067] The generated travel route is visually displayed on Yahoo! Maps and suggested to the user. The user can check specific places to visit and travel routes on the map and customize them as needed.

[0068] 6. Enter your reviews and update the database:

[0069] After a trip, users input reviews of the places they visited into their device and send them to the server, which analyzes the reviews and updates the database to improve the accuracy of future suggestions.

[0070] In this way, the system of the present invention is designed to enable users to easily obtain optimal travel plans and continuously improve the service through post-trip reviews.

[0071] The processing flow will be explained below.

[0072] Step 1:

[0073] The user enters detailed information such as the travel destination, hobbies, preferences, travel schedule, budget, number of people, etc. into the terminal and presses the send button. This information is sent from the terminal to the server.

[0074] Step 2:

[0075] The server receives the data sent by the user and stores it in a database for analysis, including information such as travel destination, hobbies and preferences, travel schedule, budget, and number of people.

[0076] Step 3:

[0077] The server sends queries to external databases (restaurant information service, travel accommodation information service, map information service) based on the entered travel destination and hobbies / preferences, thereby collecting related travel destination information, restaurant information, and accommodation information.

[0078] Step 4:

[0079] The server receives the JSON data returned from the external database, structures it, and begins parsing it. The collected data is categorized into travel destinations, restaurants, accommodations, etc.

[0080] Step 5:

[0081] The server analyzes the data and filters it to select the options that best suit the user's tastes and preferences, prioritizing them based on parameters such as rating points, distance, and price.

[0082] Step 6:

[0083] The server generates an optimal travel route based on the selected options. The generated route takes into account the user's travel time, the location of tourist attractions, and the location of accommodations.

[0084] Step 7:

[0085] In order to visually display the generated travel route, the server cooperates with a map information provider (e.g., Yahoo! Maps) to prepare data for visual display.

[0086] Step 8:

[0087] The device receives the display data from the server and visually displays the travel route on a map for the user. The user can check specific spots to visit and travel routes on the map and customize them as needed.

[0088] Step 9:

[0089] After traveling, the user uses the terminal to input reviews of the places visited and the services used, and transmits the reviews to the server.

[0090] Step 10:

[0091] The server receives and analyzes reviews sent by users. The review information is stored in a database and is reflected in subsequent travel plan generation.

[0092] Step 11:

[0093] The server updates the database based on the collected reviews and improves the accuracy of future suggestions, resulting in travel plans that are even more suited to the user's preferences.

[0094] Through this series of steps, users can obtain optimal travel plans based on their individual preferences and provide feedback to the system through post-trip reviews.

[0095] Example 1

[0096] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0097] Conventional travel plan suggestion systems have difficulty generating optimal travel routes that meet the user's individual hobbies, preferences, and detailed requirements. Furthermore, there is a lack of a mechanism for efficiently collecting post-trip reviews and reflecting them in future suggestions, which reduces the accuracy of the suggestions. There is a need to solve these issues and provide users with more accurate, personalized travel plans.

[0098] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0099] In this invention, the server includes a means for inputting data based on the user's designated travel destination and hobbies and preferences, a means for transmitting the input data to the server, a means for acquiring related travel destination information, restaurant information, and accommodation information from an external database, a means for analyzing the acquired information and generating a travel route that best suits the user's preferences, a means for visually displaying the generated travel route on a map, and a means for collecting post-trip reviews from users and updating the database, thereby enabling the provision of highly customized travel plans that meet the user's individual requests and continuous service improvement based on post-trip feedback.

[0100] "Means for inputting data based on user-specified travel destinations and hobbies and preferences" refers to devices or interfaces that allow users to input information about their travel destinations and interests.

[0101] "Means for transmitting input data to a server" refers to a communication interface or protocol for transmitting information input by a user to a server.

[0102] "Means of obtaining relevant travel destination information, restaurant information, and accommodation information from external databases" refers to API calls and database access functions to obtain necessary data from external sources.

[0103] "Means of analyzing acquired information and generating travel routes that best suit the user's preferences" refers to algorithms and analysis programs that use collected data to create travel plans that best suit the information entered by the user.

[0104] "Means for visually displaying the generated travel route on a map" refers to a user interface or rendering function for displaying the generated travel route using a map service.

[0105] "Means for collecting post-trip reviews from users and updating the database" refers to the input interface and data processing functions for collecting feedback entered by users after their trip and reflecting it in the database.

[0106] This invention relates to a system that proposes optimal travel plans based on travel destinations and hobby / preference information entered by a user. A specific embodiment of this system is described below.

[0107] Accepting user input

[0108] Users use devices such as smartphones or PCs to enter detailed information such as travel destination, hobbies and preferences, travel schedule, budget, and number of people. This information is entered using a dedicated application or an input form on a website. For example, users enter information such as "Tokyo," "Japanese cuisine," "hot spring inn," "three-day trip," and "budget of 100,000 yen."

[0109] Data submission and collection

[0110] The entered data is sent from the device to a server. Cloud services and APIs are used via the internet for transmission. The server receives this information and sends queries to external databases to collect related information. Specifically, it uses restaurant information services, travel and accommodation information services, map information services, etc. For example, it obtains Japanese restaurant information from a restaurant information service and collects hot spring inn information from a travel and accommodation information service.

[0111] Data analysis

[0112] The server uses an analysis program to analyze the collected information. This analysis process selects and prioritizes the options that best match the user's tastes and preferences. For example, the Pandas library is used to organize the data, and sorting and filtering is done in Python. A list of Japanese restaurants can be sorted by food rating and distance to select the best restaurant within the user's budget.

[0113] Generate travel routes

[0114] Based on the analysis results, the server generates the optimal travel route. This route generation process uses a route generation algorithm. An efficient travel route is calculated taking into account the user's travel time, the tourist spots to be visited, and the relative locations of accommodations. As an example, on the first day, a route is created that includes visiting tourist spots in Tokyo in the morning, having a Japanese lunch in the afternoon, and checking into a hot spring inn in the evening.

[0115] Route display and suggestions

[0116] The generated travel route is sent from the server to the device. The device visually displays the travel route using a map service. Specifically, the route is drawn on a map using the Yahoo! Maps API, etc., making it easy for the user to check. The user can then check this travel plan on the map and customize it as needed.

[0117] Enter reviews and update the database

[0118] After a trip, users input reviews of the places they visited and the services they used into their device. These reviews are sent from the device to a server, where they are collected and analyzed. The reviews are analyzed using natural language processing technology, and the results are reflected in the database. This allows the system to improve the accuracy of its suggestions for future trips.

[0119] Examples of specific examples and prompts

[0120] For example, if a user inputs "I want to go to Tokyo," "I like Japanese restaurants," and "I want to stay at a hot spring inn," the system will process it as follows:

[0121] The user inputs "Tokyo," "Japanese cuisine," "hot spring inn," "three-day trip," and "budget of 100,000 yen" into the device and presses the send button. The server collects and analyzes related information from an external database and generates an optimal travel route: sightseeing spots in Tokyo in the morning of the first day, Japanese lunch in the afternoon, and check-in at the hot spring inn in the evening. The device visually displays this travel route on a map and suggests it to the user. After the trip, the user enters a review, which the server collects and updates the database.

[0122] An example of input to the generative AI model is as follows:

[0123] "Please create a three-day itinerary for Tokyo. I enjoy Japanese restaurants and would like to stay at a hot spring inn. My budget is 100,000 yen."

[0124] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0125] Step 1:

[0126] The user uses a device to input detailed information such as travel destination, hobbies and preferences, travel schedule, budget, and number of people. For example, they input "Tokyo," "Japanese cuisine," "hot spring inn," "3-day trip," and "budget 100,000 yen." The input data is sent from the device to the server by clicking the send button or touching the screen.

[0127] Input: User's travel-related information (travel destination, hobbies, preferences, schedule, budget, number of people)

[0128] Output: User input sent to the server

[0129] Step 2:

[0130] The server receives user-entered information sent from the device. The received data is saved in JSON format or similar and recorded in a database. The server then generates a query to an external database based on that information.

[0131] Input: User input information sent from the device

[0132] Output: External database query

[0133] Step 3:

[0134] The server uses the generated query to send queries to external databases (restaurant information service, travel and accommodation information service, map information service, etc.) to obtain related travel destination information, restaurant information, and accommodation information. The data returned from the external database is stored on the server.

[0135] Input: External database query

[0136] Output: Travel destination information, restaurant information, and accommodation information obtained from external databases

[0137] Step 4:

[0138] The server analyzes the collected data, using Python and the Pandas library to organize the data and select the options that best fit the user's preferences. For example, it sorts a list of Japanese restaurants by rating points and distance to select the best restaurant within the user's budget.

[0139] Input: Travel destination information, restaurant information, accommodation information obtained from external databases

[0140] Output: Parsed data (prioritized restaurants and accommodations)

[0141] Step 5:

[0142] The server generates an optimal travel route based on the analyzed data. Using a route generation algorithm, it calculates an efficient travel route by comprehensively considering the user's travel time, planned tourist spots, and the relative locations of accommodations. For example, it creates a route that includes visiting tourist spots in Tokyo in the morning on the first day, a Japanese lunch in the afternoon, and checking into a hot spring inn in the evening.

[0143] Input: Parsed data (prioritized restaurants and accommodations)

[0144] Output: Optimal travel route (including visit order and mode of transportation)

[0145] Step 6:

[0146] The generated travel route is sent from the server to the device, which then visually displays the travel route using the Yahoo! Maps API. Users can check specific places to visit and travel routes on the map and customize them as needed.

[0147] Input: Optimal travel route (including visit order and mode of transportation)

[0148] Output: Visual representation of the travel route (map on the device screen)

[0149] Step 7:

[0150] After the trip, the user uses the device to enter reviews of the places visited and the services used. The reviews include specific ratings and comments. The entered reviews are sent from the device to the server.

[0151] Input: User review information (ratings, comments)

[0152] Output: Review information sent to the server

[0153] Step 8:

[0154] The server receives the review information sent by the user and analyzes it using natural language processing technology. The analysis results are recorded in a database and used to improve the accuracy of future suggestions. The server updates the database based on the analysis results, improving the accuracy of travel plan suggestions.

[0155] Input: Review information sent to the server

[0156] Output: Updated database (analysis results based on review)

[0157] (Application example 1)

[0158] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0159] Conventional travel plan suggestion systems can generate optimal travel routes based on a user's hobbies and preferences and display them on a map, but they lack functionality to support actual travel. This forces users to individually create complex travel plans, which increases fatigue and stress during travel. Furthermore, there are limited ways to check information about planned visits and accommodations in real time during a trip, which can potentially degrade the quality of the travel experience.

[0160] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0161] In this invention, the server includes: means for inputting data based on a user's designated travel destination and hobbies and preferences; means for acquiring related travel destination information, restaurant information, and accommodation information from an external database; means for analyzing the acquired information and generating a travel route optimal for the user's preferences; means for visually displaying the generated travel route on a map; means for collecting post-travel reviews from users and updating the database; means for transmitting optimal travel route information based on the user's preferences to a navigation system of the autonomous vehicle; means for controlling the autonomous vehicle to execute the travel route; and means for displaying information on planned visits and stays during the trip on the display of the autonomous vehicle and the user's mobile information terminal. This enables users to automatically manage complicated travel plans and check their travel and schedule in real time, resulting in a comfortable and efficient travel experience.

[0162] "Travel destination information" is detailed information about areas and tourist spots that the user wishes to visit.

[0163] "Hobbies and Preferences" is information about the activities and categories of interest that a user has.

[0164] "Means of acquisition" refers to the method or process for acquiring the required information from the external database.

[0165] An "external database" is an external information source that provides restaurant information, accommodation information, tourist spot information, and the like.

[0166] "Means of analysis" refers to the method of analyzing the acquired data based on the user's hobbies and preferences to find the optimal option.

[0167] The "travel route" refers to a travel route including the user's planned visits and stays.

[0168] The "means for visually displaying on a map" refers to a method for visually displaying the generated travel route in a manner that is easy for the user to understand.

[0169] A "review" is an evaluation or comment made by a user on the places they visited or the services they used after their trip.

[0170] "Means for updating the database" refers to the method by which new information and user reviews are added to the existing database to keep the information up to date.

[0171] A "navigation system" is a system that guides an autonomous vehicle to its destination by following a specified route.

[0172] An "autonomous vehicle" is a vehicle that drives itself automatically without requiring user operation.

[0173] A "display" is a display device that allows a user to visually confirm information.

[0174] A "portable information terminal" is an information communication device that can be carried by a user, and includes smartphones, tablets, and the like.

[0175] "Optimal travel route information" is information that takes into maximum consideration the user's hobbies and preferences, optimizing the order in which to visit travel destinations and the means of transportation.

[0176] The "means for executing a travel route" refers to a method for controlling an autonomous vehicle based on the generated travel route and for actually traveling.

[0177] 1. Overall Overview:

[0178] This invention is a system that proposes optimal travel plans based on travel destination and hobby / preference information entered by the user. This system is realized by a program that acquires travel destination information, restaurant information, and accommodation information from an external database and analyzes and processes them according to the user's request. It also executes the generated travel route using an autonomous vehicle and supports travel during the trip.

[0179] 2. Accept user input:

[0180] The user inputs details about the trip (travel destination, hobbies, preferences, number of people, etc.) into the terminal. The input information is sent to the server.

[0181] 3. Data Collection:

[0182] The server sends queries to external databases (restaurant information service, travel accommodation information service, map information service) based on the input travel destination and hobbies / preferences, thereby collecting related travel destination information, restaurant information, and accommodation information.

[0183] 4. Data Analysis:

[0184] The collected data is analyzed internally on the server. The analysis process selects and prioritizes the options that best match the user's tastes and preferences. For example, if a user prefers "Japanese food," Japanese restaurants will be prioritized from the collected restaurant information.

[0185] 5. Travel route generation:

[0186] The server then generates an optimal travel route based on the analyzed data. This route generation process takes into consideration the user's travel time, the tourist spots they plan to visit, and the relative locations of their accommodations.

[0187] 6. Route display and suggestions:

[0188] The generated travel route is sent to the device and displayed visually. The device uses a map service to display the travel route in an easy-to-understand manner for the user. The user can check specific visiting spots and travel routes on the map.

[0189] 7. Enter your reviews and update the database:

[0190] After traveling, users input reviews of the places they visited and the services they used into their devices. This review information is sent to the server and stored in a collection database. The server analyzes the collected reviews and updates the database to improve the accuracy of future suggestions.

[0191] 8. Utilizing autonomous vehicles:

[0192] The server sends optimal travel route information based on the user's preferences to the autonomous vehicle's navigation system. The autonomous vehicle uses this information to execute the travel route and guide the user to their destination. Furthermore, information about planned visits and places of stay during the trip is displayed on the autonomous vehicle's display and the user's mobile information device.

[0193] As a concrete example, we will explain the system's processing when a user inputs "I want to go to Tokyo," "I like Japanese restaurants," and "I want to stay at a hot spring inn." The user inputs "Tokyo," "Japanese food," "hot spring inn," "3-day trip," and "budget 100,000 yen" into their terminal. The input information is sent to the server. The server collects restaurant information, accommodation information, and tourist spot information corresponding to "Tokyo," "Japanese food," and "hot spring inn" from an external database. For example, it obtains Japanese restaurant information from a restaurant information service and hot spring inn information from a travel and accommodation information service. The server analyzes the collected data and selects the option that best matches the user's preferences. Based on the analyzed data, a route is generated for the first day: sightseeing spots in Tokyo in the morning, a Japanese lunch in the afternoon, and check-in at the hot spring inn in the evening. This route information is sent to the autonomous vehicle, and the travel route is executed.

[0194] Example prompt sentence:

[0195] Travel destination: "Tokyo"

[0196] Hobbies and interests: {"food": "Japanese food", "stay": "hot spring inn"}

[0197] Budget: 100,000 yen

[0198] Trip Itinerary: "3 days"

[0199] Suggest travel routes and navigate with your self-driving vehicle.

[0200] Using this prompt, the autonomous vehicle can actually travel based on the trip plan, making the travel experience more comfortable.

[0201] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0202] Step 1:

[0203] The user uses a device to input detailed information about the trip, such as the destination, hobbies and preferences, travel schedule, budget, and number of people. This information is formatted in JSON format and sent to the server. Specific data input may include, for example, "Tokyo," "Japanese cuisine," "hot spring inn," "three-day trip," and "budget of 100,000 yen."

[0204] Step 2:

[0205] The server sends queries to external databases based on the received data. Specifically, it requests information related to travel destinations and hobbies and preferences from each external database (restaurant information service, travel and accommodation information service, map information service). This request is made through an API, and the results are returned to the server.

[0206] Step 3:

[0207] The server analyzes the data collected from external databases. Specific steps in the analysis include selecting and prioritizing options that best match the user's tastes and preferences. For example, it selects highly rated Japanese restaurants from the collected restaurant information and sorts the list based on distance and budget. Similarly, it selects the best hot spring inns for accommodation.

[0208] Step 4:

[0209] The server generates the optimal travel route based on the analyzed data. The travel route generation takes into consideration the order of the planned tourist spots to be visited, travel time, and the relative locations of accommodations. A specific output might include a route plan such as "visit tourist spots in Tokyo in the morning on the first day, have a Japanese lunch in the afternoon, and check into a hot spring inn in the evening."

[0210] Step 5:

[0211] The generated travel route information is sent to the device and displayed visually. By using a map service to display the generated route on a map, users can check specific places to visit and the route they will travel. They can also customize the route as needed.

[0212] Step 6:

[0213] The server sends the route information to the autonomous vehicle's navigation system. Based on the received route information, the navigation system generates control information to guide the autonomous vehicle to its destination. The autonomous vehicle then travels according to this information. Information about planned visits and places to stay is displayed on the in-vehicle display.

[0214] Step 7:

[0215] After a trip, users enter reviews of the places and services they used into their device. This review information is sent to the server and stored in a database. The server analyzes these reviews and updates the database to improve the accuracy of future travel plan suggestions.

[0216] Through these steps, users can automatically manage complicated travel plans and comfortably check their travel and schedules while traveling.

[0217] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0218] 1. Overall Overview:

[0219] The system of this invention proposes optimal travel plans by combining information about travel destinations and hobbies and preferences entered by the user with an emotion engine that recognizes the user's emotions. This system is realized by a program that obtains travel destination information, restaurant information, and accommodation information from an external database, and analyzes and processes the information according to the user's requests and emotional state.

[0220] 2. Introducing the Emotion Engine:

[0221] The emotion engine is a device that analyzes a user's emotions based on the text, voice, and facial recognition data they input. This emotional data is reflected in the system and influences the selection of travel destinations and activities.

[0222] 3. Accept user input:

[0223] Users input their travel destination, hobbies, preferences, travel itinerary, budget, number of people, and emotional data into the device and press the send button. This information is sent from the device to the server. Emotional data may also be entered in real time, dynamically adjusting the user's experience.

[0224] 4. Data Collection:

[0225] The server sends queries to external databases (restaurant information service, travel accommodation information service, map information service) based on the input travel destination, hobbies, preferences, and emotion data, thereby collecting related travel destination information, restaurant information, and accommodation information.

[0226] 5. Data Analysis:

[0227] The collected data and emotional data are analyzed within the server. The analysis process selects and prioritizes the options that best match the user's hobbies, preferences, and emotional state. For example, if a user likes Japanese food and is currently feeling like relaxing, the system will prioritize Japanese restaurants with a relaxing atmosphere.

[0228] 6. Travel route generation:

[0229] The server then generates an optimal travel route based on the analyzed data. This route generation process takes into consideration the user's travel time, the tourist spots they plan to visit, and the relative locations of their accommodations. Furthermore, based on data from the emotion engine, the server creates a plan that takes into account the user's current emotional state.

[0230] 7. Route display and suggestions:

[0231] The generated travel route is sent to the device and displayed visually. The device uses a map information service to display the travel route in an easy-to-understand manner for the user. The user can check specific visiting spots and travel routes on the map.

[0232] 8. Entering reviews and updating the database:

[0233] After traveling, users input reviews of the places they visited and the services they used into their device. This review information is sent to the server and stored in a collection database. The server analyzes the collected reviews and sentiment data and updates the database to improve the accuracy of future suggestions.

[0234] Specific examples

[0235] As an example, we will explain how the system processes when a user inputs "I want to go to Kyoto," "I like tea ceremony experiences," and "I prefer quiet lodgings."

[0236] 1. Accept user input:

[0237] The user inputs "Kyoto," "tea ceremony experience," "quiet lodging," "three-day trip," and "budget of 150,000 yen" into the device, and also sends emotional data such as "I want to relax."

[0238] 2. Data Collection:

[0239] The server collects information on facilities and tourist spots that correspond to "Kyoto," "tea ceremony experience," and "quiet lodgings" from external databases. For example, it obtains tea room information from a restaurant information service and quiet lodging information from a travel and accommodation information service.

[0240] 3. Data Analysis:

[0241] The server analyzes the collected data and emotional data, sorting the list of facilities offering tea ceremony experiences by rating and quietness, and prioritizing the option that best matches the user's desire to "relax."

[0242] 4. Travel route generation:

[0243] Based on the analyzed data, a route is generated that includes a tea ceremony experience in the morning of the first day, a relaxing tourist spot in the afternoon, and checking into a quiet inn in the evening.

[0244] 5. Route display and suggestions:

[0245] To visually display the generated travel route, the system works with a map information provider and sends display data to the device. The user can view the map, check specific spots to visit, and travel routes, and make adjustments as necessary.

[0246] 6. Enter your reviews and update the database:

[0247] After the trip, the user inputs reviews of the facilities they visited into the terminal and sends them to the server, which analyzes the reviews and emotional feedback and updates the database.

[0248] In this way, the system of the present invention provides optimal travel plans based on the user's individual preferences and emotional state, and continuously improves the service through post-trip feedback.

[0249] The processing flow will be explained below.

[0250] Step 1:

[0251] The user inputs the travel destination, hobbies, preferences, travel schedule, budget, number of people, and emotional data into the terminal, and presses the send button. This information is sent from the terminal to the server.

[0252] Step 2:

[0253] The server receives the data sent by the user and stores it in a database for analysis, including travel destination, hobbies and preferences, travel itinerary, budget, number of people, and emotional data.

[0254] Step 3:

[0255] The server sends queries to external databases (restaurant information service, travel accommodation information service, map information service) based on the entered travel destination, hobbies, preferences, and emotion data, thereby collecting related travel destination information, restaurant information, and accommodation information.

[0256] Step 4:

[0257] The server receives the JSON data returned from the external database, structures it, and begins parsing it. The collected data is categorized into travel destinations, restaurants, accommodations, etc.

[0258] Step 5:

[0259] The server analyzes the data and filters it to select the options that best match the user's tastes, preferences, and emotional state. Prioritization is based on parameters such as rating points, distance, price, and emotional data.

[0260] Step 6:

[0261] The server generates an optimal travel route based on the selected options. The generated route takes into account the user's travel time, the location of tourist attractions, and the location of accommodations. Furthermore, data from the emotion engine is used to create a plan that takes into account the user's current emotional state.

[0262] Step 7:

[0263] In order to visually display the generated travel route, the server cooperates with a map information provider (e.g., Yahoo! Maps) to prepare data for visual display.

[0264] Step 8:

[0265] The device receives the display data from the server and visually displays the travel route on a map for the user. The user can check specific spots to visit and travel routes on the map and customize them as needed.

[0266] Step 9:

[0267] Users can input emotional data in real time while traveling, and the system will reflect their current emotional state. For example, if they feel "tired" at a certain tourist spot, they can input that information.

[0268] Step 10:

[0269] The server analyzes the emotion data received in real time and dynamically adjusts the current travel route. For example, if the user feels tired, the next destination will be changed to a relaxation facility.

[0270] Step 11:

[0271] After traveling, the user uses the terminal to input reviews of the places visited and the services used, and transmits the reviews to the server.

[0272] Step 12:

[0273] The server receives and analyzes reviews sent by users. The review information is stored in a database and is reflected in subsequent travel plan generation.

[0274] Step 13:

[0275] The server updates the database based on the collected reviews and emotion information, improving the accuracy of future suggestions, thereby generating travel plans that better suit the user's preferences and emotional state.

[0276] Through this series of steps, users can obtain optimal travel plans based on their individual preferences and emotional state, and encourage the system to continuously improve through feedback during and after the trip.

[0277] Example 2

[0278] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0279] Conventional travel plan generation systems guide users to travel routes based on their specified destinations, hobbies, and preferences. However, these systems do not take into account the user's emotional state, which can result in disappointing travel experiences. Furthermore, there is a lack of effective ways to utilize post-trip feedback, limiting the accuracy of suggestions for future trips. To address these issues, a system is needed that incorporates the user's emotional data and proposes optimal travel routes accordingly.

[0280] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0281] In this invention, the server includes means for inputting emotion data in addition to travel destinations and hobbies / preferences specified by the user, means for acquiring related travel destination information, restaurant information, and accommodation information from an external database, means for analyzing the acquired information and emotion data and generating a travel route optimal for the user's preferences and emotions, means for visually displaying the generated travel route on a map, and means for collecting post-trip reviews from users and updating the database, thereby enabling the server to propose an optimal travel route tailored to the user's emotional state.

[0282] "User" refers to an individual or organization that uses the system to create a travel plan.

[0283] "Terminal" refers to an electronic device used by a user, such as a computer, smartphone, or tablet.

[0284] "Server" refers to a central computer that receives input data from users and processes it to generate travel plans.

[0285] "Destination Information" refers to data about areas and cities that a user plans to visit.

[0286] "Hobbies and Preference Information" refers to information related to a user's preferences and interests.

[0287] "Emotion data" refers to data that indicates the user's current emotional state, and includes text, voice, facial recognition data, and the like.

[0288] "External database" refers to an external data storage system that provides restaurant information, travel and accommodation information, map information, etc.

[0289] A "travel route" refers to a plan showing the order of places and facilities that a user plans to visit during a trip.

[0290] "Analysis" refers to the process of deriving optimal options based on the user's preferences and emotional state using collected data.

[0291] "Review" refers to feedback information provided by a user after a trip.

[0292] "Map Display" refers to a display of data that allows a user to visually see their travel route.

[0293] MODE FOR CARRYING OUT THE INVENTION

[0294] The present invention is a system that analyzes information acquired from an external database using travel destinations, hobbies, preferences, and emotion data entered by the user, and proposes optimal travel routes to the user. Detailed embodiments for carrying out the present invention are described below.

[0295] First, this system consists of a terminal used by the user and a server that processes information. The terminal is an electronic device such as a personal computer, smartphone, or tablet, and the user uses it to input travel destinations, hobbies, preferences, and emotional data.

[0296] When a user inputs travel destination, hobbies and preferences, travel itinerary, budget, number of people, and emotional data into the device and presses the send button, this information is sent from the device to the server, which then uses an emotion engine (such as a natural language processing model or facial recognition software) to analyze the user's emotional state from the input data.

[0297] The emotion engine analyzes user input data (text, voice, images, etc.) and generates emotion data, which is an important element in customizing the user's travel plan.

[0298] The server acquires relevant travel destination information, restaurant information, and accommodation information from external databases (e.g., restaurant information services, travel and accommodation information services, map information services). The acquired data is analyzed based on the user's hobbies, preferences, and emotional data, and is used to generate the optimal travel route.

[0299] This analysis process prioritizes the options that best match the user's hobbies, preferences, and emotional state, and generates a travel route. For example, if a user likes Japanese food and has the emotion of wanting to relax, Japanese restaurants with a relaxing atmosphere will be prioritized.

[0300] The server then generates an optimal travel route based on the analysis results. This route generation process comprehensively considers the user's travel time, the tourist spots they plan to visit, and the relative locations of their accommodations, and also creates a plan that takes into account the user's current emotional state based on their emotional data.

[0301] The generated travel route is sent to the device and displayed visually in conjunction with a map information service. The user can check specific spots to visit and travel routes on the map and make adjustments as necessary.

[0302] Finally, after their trip, users enter reviews of the places they visited and the services they used into their device. This review information is sent to the server, where it is collected, analyzed, and updated to update the database. The server analyzes the collected reviews and sentiment data and updates the database to improve the accuracy of future suggestions.

[0303] Specific examples

[0304] For example, if the user inputs "I want to go to Kyoto," "I like to experience the tea ceremony," and "I prefer quiet lodgings," the system will process as follows:

[0305] 1. The user inputs "Kyoto," "tea ceremony experience," "quiet lodging," "three-day trip," and "budget of 150,000 yen" into the device. The user also sends emotional data such as "I want to relax."

[0306] 2. The server collects information related to "Kyoto," "tea ceremony experience," and "quiet lodging" from an external database.

[0307] 3. The server analyzes the collected information and emotion data to generate an optimal travel route, for example, a plan for the first day that includes a tea ceremony experience in the morning, a relaxing sightseeing spot in the afternoon, and checking into a quiet inn in the evening.

[0308] 4. The generated travel route is sent to the device and visually displayed on a map.

[0309] 5. After the trip, the user enters reviews of the facilities they visited into the terminal, and the server updates the database based on these reviews.

[0310] In this way, the system of the present invention provides optimal travel plans based on the user's preferences and emotions, and continuously improves the service through post-trip feedback.

[0311] Prompt Sentence Examples

[0312] The user enters the following information into the system:

[0313] "I want to go to Kyoto"

[0314] "I like the tea ceremony experience"

[0315] "I prefer a quiet place to stay"

[0316] "Three-day trip"

[0317] "Budget: 150,000 yen"

[0318] "I want to relax"

[0319] This allows the system to provide optimal travel plans.

[0320] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0321] Specific processing flow of the system

[0322] Step 1: Accepting user input

[0323] Description: The user enters travel destination, hobbies and preferences, travel schedule, budget, number of people, and emotional data into the terminal, and presses the send button.

[0324] Input: "Travel destination", "Hobbies and preferences", "Travel schedule", "Budget", "Number of people", "Emotional data"

[0325] Operation:

[0326] The user enters information such as "Kyoto," "tea ceremony experience," "quiet lodging," "3 days," "150,000 yen," and "want to relax" into the device's input screen.

[0327] When the send button is pressed, the terminal composes this information into a data packet and sends it to the server.

[0328] Output: The user's input data is sent to the server.

[0329] Step 2: Analyze the emotion data

[0330] Description: The server analyzes the emotion data from the received data using the emotion engine.

[0331] Input: User input data (especially "emotion data")

[0332] Operation:

[0333] The server uses an emotion engine (such as a natural language processing model or facial recognition software) to analyze the user's emotions from text and voice input data.

[0334] The emotion engine determines emotional states such as "I want to relax."

[0335] Output: User's emotional state data

[0336] Step 3: Collect data

[0337] Description: Based on the user's input data and emotional state, the server retrieves relevant travel destination information, restaurant information, and accommodation information from an external database.

[0338] Input: User input data, emotional state data

[0339] Operation:

[0340] The server sends a query to each external database (restaurant information service, travel and accommodation information service, map information service).

[0341] This allows the system to obtain information on facilities and tourist spots that correspond to, for example, "Kyoto," "tea ceremony experience," and "quiet lodging."

[0342] The server sends an SQL query to the external database, such as:

[0343] SELECT FROM Restaurants WHERE Category='Tea Ceremony' AND Location='Kyoto';

[0344] SELECT FROM Hotels WHERE Type='Quiet' AND Location='Kyoto';

[0345] Output: Collected travel destination information, restaurant information, and accommodation information

[0346] Step 4: Analyze the data

[0347] Description: The server selects the options that best suit the user's preferences and emotions based on the collected data and emotional data.

[0348] Input: Collected travel destination information, restaurant information, accommodation information, and user emotional state data

[0349] Operation:

[0350] The server compares the collected data with the user's emotional data and assigns priorities.

[0351] Prioritize the emotional data of "wanting to relax" and extract the optimal option that suits the user.

[0352] The server runs the following algorithm:

[0353] Sort(Restaurants) By Rating DESC, Quietness DESC;

[0354] Sort(Hotels) By Quietness DESC, Rating DESC;

[0355] Output: Prioritized travel destination information and accommodation information

[0356] Step 5: Generate travel routes

[0357] Description: The server generates the optimal travel route based on the analysis results.

[0358] Input: Prioritized travel destination information and accommodation information

[0359] Operation:

[0360] For example, the server will create a plan for the first day that includes a tea ceremony experience in the morning, a relaxing tourist spot in the afternoon, and checking into a quiet inn in the evening.

[0361] Specifically, it generates the following schedule:

[0362] Day 1 Morning: Tea Ceremony at Kiyomizu Temple

[0363] Day 1 Afternoon: Relax at Maruyama Park

[0364] Day 1 Evening: Check-in at Ryokan [Quiet Hotel]

[0365] Output: Generated travel route

[0366] Step 6: View and suggest routes

[0367] Description: Send the generated travel route to the device and display it visually.

[0368] Input: Generated travel route

[0369] Operation:

[0370] The server converts the generated route into JSON format data and sends it to the terminal.

[0371] The device analyzes this data and displays it visually using a map information service.

[0372] Users can check their travel route on the device screen and zoom in and out on the map to view more detailed information.

[0373] Output: A visual representation of the travel route

[0374] Step 7: Enter reviews and update the database

[0375] Description: Users enter reviews after their trips, and the server updates the database accordingly.

[0376] Enter: Post-trip review

[0377] Operation:

[0378] After the trip, the user inputs reviews of the facilities and accommodations they visited on the application on their terminal.

[0379] An example review would be, "The tea ceremony experience was very relaxing. The accommodation was quiet and comfortable."

[0380] The terminal sends this information to the server.

[0381] The server analyzes the received reviews and updates the rating data of the relevant facilities and services.

[0382] Output: Updated database

[0383] The above is a detailed description of the specific processing flow of the system and each processing step.

[0384] (Application example 2)

[0385] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0386] Conventional travel plan suggestion systems only make suggestions based on the user's static preferences and specified conditions, making it difficult to respond to the user's emotional state or real-time psychological needs. Furthermore, they lacked a mechanism for utilizing post-trip feedback information to improve the accuracy of future suggestions. This made it difficult to provide highly accurate suggestions that matched the user's psychological state.

[0387] The specification processing by the specification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes: means for inputting data based on the travel destination and hobbies and preferences specified by the user; means for acquiring related travel destination information, restaurant information, and accommodation information from an external database; means for analyzing the acquired information and generating a travel route optimal for the user's preferences; means for visually displaying the generated travel route on a map; means for collecting post-travel reviews from the user and updating the database; and means for analyzing the user's emotional state and suggesting optimal dining experiences and travel plans based on the results. This makes it possible to propose highly accurate travel plans that take into account the user's real-time emotional state and psychological needs.

[0388] "Means for inputting data based on the travel destination and hobbies and preferences specified by the user" refers to an interface that allows the user to input information such as travel destination, hobbies and preferences, budget, and schedule.

[0389] "Means for acquiring related travel destination information, restaurant information, and accommodation information from external databases" means a function that automatically acquires information about travel destinations, restaurants, and accommodation information from external information providing services.

[0390] "Means for analyzing the acquired information and generating a travel route that best suits the user's preferences" refers to an algorithm or system that generates an optimal travel route that matches the user's preferences and conditions based on the acquired information.

[0391] The "means for visually displaying the generated travel route on a map" refers to a display device or software for displaying the generated travel route on a map and making it visible to the user.

[0392] The "means for collecting post-trip reviews from users and updating the database" refers to a function that collects feedback from users after their trip and reflects it in the database to improve the accuracy of future suggestions.

[0393] "Means for analyzing the user's emotional state and proposing optimal dining experiences and travel plans based on this" refers to an emotion analysis engine or software that analyzes user input and real-time emotional data and proposes dining experiences and travel plans that match that emotional state.

[0394] A specific system for implementing the present invention is configured using the following hardware and software.

[0395] System hardware and software configuration

[0396] Hardware: Smartphone (used as a user interface), cloud server (data analysis, database management)

[0397] software:

[0398] Smartphone app: An interface where users input travel destinations, preferences, and emotional states

[0399] Sentiment analysis engine: Software for analyzing emotion data (e.g., Python-based EmotionAPI)

[0400] Database system: A relational database such as PostgreSQL

[0401] External API: Google Maps API (provides map information), restaurant information API, accommodation information API, etc.

[0402] System Operation

[0403] 1. Accepting user input

[0404] Users use a smartphone app to input information such as travel destination, hobbies and preferences, travel schedule, budget, number of people, emotional state, etc. This input information is sent to a cloud server.

[0405] 2. Data collection

[0406] The cloud server sends queries to external databases (such as restaurant information services, travel and accommodation information services, and map information services) to collect related travel destination information, restaurant information, and accommodation information.

[0407] 3. Data Analysis

[0408] The data and emotional data collected on the cloud server are analyzed. The emotion analysis engine analyzes emotions based on the user's text input, voice data, and facial recognition data. Based on the results of this analysis, the option that best matches the user's emotional state and preferences is selected. For example, if a user likes "Japanese food" and is currently feeling like "relaxing," relaxing Japanese restaurants will be prioritized.

[0409] 4. Travel route generation

[0410] Based on the analyzed data, the cloud server generates an optimal travel route, taking into consideration the user's travel time, planned tourist spots, the location of accommodations, and the user's current emotional state.

[0411] 5. Route display

[0412] The generated travel route is sent to a smartphone app and displayed visually using a map information service, allowing users to check specific places to visit and travel routes on the map.

[0413] 6. Enter reviews and update the database

[0414] After a trip, users enter reviews of the places they visited and the services they used into a smartphone app and send them to a cloud server. The cloud server analyzes the reviews and emotional feedback and updates the database to improve the accuracy of suggestions for future trips.

[0415] Specific examples

[0416] For example, if the user types:

[0417] Travel destination: Kyoto

[0418] Hobbies and interests: Tea ceremony experience

[0419] Accommodation: Quiet Inn

[0420] Trip duration: 3 days

[0421] Budget: 150,000 yen

[0422] Emotional state: I want to relax

[0423] Prompt Sentence Examples

[0424] Enter your travel destination: Kyoto

[0425] Please enter your hobbies and interests: Tea ceremony experience

[0426] Please enter your accommodation preference: Quiet accommodation

[0427] Enter your travel dates: 3 days

[0428] Please enter your budget: 150,000 yen

[0429] Please describe your current emotional state (relaxed / enjoyed / adventurous): Relaxed

[0430] Based on this input information, the cloud server retrieves related information from an external database and proposes the optimal travel plan to the user based on the results of sentiment analysis.The user then travels based on this and enters a review after the trip, which improves the accuracy of the proposals next time.

[0431] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0432] Step 1:

[0433] The user uses a smartphone to input information such as travel destination, hobbies and preferences, travel itinerary, budget, number of people, and emotional state. The device then sends this data to a cloud server. Input data includes "travel destination: Kyoto," "hobbies and preferences: tea ceremony experience," and "budget: 150,000 yen." The server receives this information and stores it in a database.

[0434] Step 2:

[0435] The server sends queries to external information services (restaurant information services, travel accommodation information services, map information services, etc.) to obtain relevant travel destination information, restaurant information, and accommodation information. The obtained data includes information on places in Kyoto where you can experience tea ceremony and quiet accommodations. The server stores this information in a database for analysis.

[0436] Step 3:

[0437] On the server, an emotion analysis engine analyzes the user's emotional data. For example, if the user inputs "I want to relax," the emotion analysis engine recognizes the emotional state of "relaxed." The input data also includes the user's text data, which is analyzed to extract the emotional state. The results of this analysis are reflected in the generation of the travel plan.

[0438] Step 4:

[0439] The server runs an algorithm that generates an optimal travel route based on the collected information and analyzed emotional data. The algorithm prioritizes options that best match the user's preferences, taking into consideration factors such as travel time, planned tourist spots, and the location of accommodations. The generated travel route takes into account the user's emotional state of "wanting to relax."

[0440] Step 5:

[0441] The server sends the generated travel route to the smartphone device. The device receives this information and, in cooperation with the map information provider, visually displays the travel route on a map. The user can check specific visiting spots and travel routes on the smartphone. At this stage, the user can also adjust the route.

[0442] Step 6:

[0443] After the trip, users use their smartphones to write reviews of the places they visited and the services they used. These reviews include detailed feedback, such as, "The tea ceremony experience was very relaxing." The smartphones then send this review information to a cloud server.

[0444] Step 7:

[0445] The server analyzes the reviews and sentiment feedback submitted by users, stores them in a database, and updates it. The analysis results are stored to be reflected in future travel plan suggestions. This data is used to improve the accuracy of the algorithm.

[0446] Through these steps, highly accurate travel plan suggestions that match the user's emotional state and preferences are realized.

[0447] 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.

[0448] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0449] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0450] [Second embodiment]

[0451] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0452] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0453] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the 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).

[0454] 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.

[0455] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0456] 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 surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0457] 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. 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.

[0458] 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.

[0459] 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 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.

[0460] 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.

[0461] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0462] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal."

[0463] 1. Overall Overview:

[0464] The system of this invention proposes optimal travel plans based on travel destination and hobby / preference information entered by the user. This system is realized by a program that obtains travel destination information, restaurant information, and accommodation information from an external database and analyzes and processes the information according to the user's request.

[0465] 2. Accept user input:

[0466] The user inputs details about the trip (travel destination, hobbies, preferences, number of people, etc.) into the terminal. The input information is sent to the server.

[0467] 3. Data Collection:

[0468] The server sends queries to external databases (e.g., restaurant information service, travel accommodation information service, map information service) based on the input travel destination and hobbies / preferences, thereby collecting related travel destination information, restaurant information, and accommodation information.

[0469] 4. Data Analysis:

[0470] The collected data is analyzed internally on the server. The analysis process selects and prioritizes the options that best match the user's hobbies and preferences. For example, if the user likes Japanese food, Japanese restaurants will be prioritized from the collected restaurant information.

[0471] 5. Travel route generation:

[0472] The server then generates an optimal travel route based on the analyzed data. This route generation process takes into consideration the user's travel time, the tourist spots they plan to visit, and the relative locations of their accommodations.

[0473] 6. Route display and suggestions:

[0474] The generated travel route is sent to the device and displayed visually. The device uses map services such as Yahoo! Maps to display the travel route in an easy-to-understand manner for the user. The user can check specific visiting spots and travel routes on the map.

[0475] 7. Enter your reviews and update the database:

[0476] After traveling, users input reviews of the places they visited and the services they used into their devices. This review information is sent to the server and stored in a collection database. The server analyzes the collected reviews and updates the database to improve the accuracy of future suggestions.

[0477] Specific examples

[0478] As an example, we will explain how the system processes when a user inputs "I want to go to Tokyo," "I like Japanese restaurants," and "I want to stay at a hot spring inn."

[0479] 1. Accept user input:

[0480] The user inputs "Tokyo," "Japanese cuisine," "hot spring inn," "three-day trip," and "budget of 100,000 yen" into the terminal. The input information is sent to the server.

[0481] 2. Data Collection:

[0482] The server collects restaurant information, accommodation information, and tourist spot information that correspond to "Tokyo," "Japanese cuisine," and "hot spring inns" from external databases. For example, it obtains Japanese restaurant information from PayPay Gourmet and hot spring inn information from Yahoo! Travel.

[0483] 3. Data Analysis:

[0484] The server analyzes the collected data and prioritizes the options that best match the user's preferences. It sorts the list of Japanese restaurants by food rating and distance, and selects the best restaurant that fits within the user's budget.

[0485] 4. Travel route generation:

[0486] Based on the analyzed data, a route is generated that includes visiting tourist spots in Tokyo in the morning on the first day, a Japanese lunch in the afternoon, and checking into a hot spring inn in the evening.

[0487] 5. Route display and suggestions:

[0488] The generated travel route is visually displayed on Yahoo! Maps and suggested to the user. The user can check specific places to visit and travel routes on the map and customize them as needed.

[0489] 6. Enter your reviews and update the database:

[0490] After a trip, users input reviews of the places they visited into their device and send them to the server, which analyzes the reviews and updates the database to improve the accuracy of future suggestions.

[0491] In this way, the system of the present invention is designed to enable users to easily obtain optimal travel plans and continuously improve the service through post-trip reviews.

[0492] The processing flow will be explained below.

[0493] Step 1:

[0494] The user enters detailed information such as the travel destination, hobbies, preferences, travel schedule, budget, number of people, etc. into the terminal and presses the send button. This information is sent from the terminal to the server.

[0495] Step 2:

[0496] The server receives the data sent by the user and stores it in a database for analysis, including information such as travel destination, hobbies and preferences, travel schedule, budget, and number of people.

[0497] Step 3:

[0498] The server sends queries to external databases (restaurant information service, travel accommodation information service, map information service) based on the entered travel destination and hobbies / preferences, thereby collecting related travel destination information, restaurant information, and accommodation information.

[0499] Step 4:

[0500] The server receives the JSON data returned from the external database, structures it, and begins parsing it. The collected data is categorized into travel destinations, restaurants, accommodations, etc.

[0501] Step 5:

[0502] The server analyzes the data and filters it to select the options that best suit the user's tastes and preferences, prioritizing them based on parameters such as rating points, distance, and price.

[0503] Step 6:

[0504] The server generates an optimal travel route based on the selected options. The generated route takes into account the user's travel time, the location of tourist attractions, and the location of accommodations.

[0505] Step 7:

[0506] In order to visually display the generated travel route, the server cooperates with a map information provider (e.g., Yahoo! Maps) to prepare data for visual display.

[0507] Step 8:

[0508] The device receives the display data from the server and visually displays the travel route on a map for the user. The user can check specific spots to visit and travel routes on the map and customize them as needed.

[0509] Step 9:

[0510] After traveling, the user uses the terminal to input reviews of the places visited and the services used, and transmits the reviews to the server.

[0511] Step 10:

[0512] The server receives and analyzes reviews sent by users. The review information is stored in a database and is reflected in subsequent travel plan generation.

[0513] Step 11:

[0514] The server updates the database based on the collected reviews and improves the accuracy of future suggestions, resulting in travel plans that are even more suited to the user's preferences.

[0515] Through this series of steps, users can obtain optimal travel plans based on their individual preferences and provide feedback to the system through post-trip reviews.

[0516] Example 1

[0517] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0518] Conventional travel plan suggestion systems have difficulty generating optimal travel routes that meet the user's individual hobbies, preferences, and detailed requirements. Furthermore, there is a lack of a mechanism for efficiently collecting post-trip reviews and reflecting them in future suggestions, which reduces the accuracy of the suggestions. There is a need to solve these issues and provide users with more accurate, personalized travel plans.

[0519] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0520] In this invention, the server includes a means for inputting data based on the user's designated travel destination and hobbies and preferences, a means for transmitting the input data to the server, a means for acquiring related travel destination information, restaurant information, and accommodation information from an external database, a means for analyzing the acquired information and generating a travel route that best suits the user's preferences, a means for visually displaying the generated travel route on a map, and a means for collecting post-trip reviews from users and updating the database, thereby enabling the provision of highly customized travel plans that meet the user's individual requests and continuous service improvement based on post-trip feedback.

[0521] "Means for inputting data based on user-specified travel destinations and hobbies and preferences" refers to devices or interfaces that allow users to input information about their travel destinations and interests.

[0522] "Means for transmitting input data to a server" refers to a communication interface or protocol for transmitting information input by a user to a server.

[0523] "Means of obtaining relevant travel destination information, restaurant information, and accommodation information from external databases" refers to API calls and database access functions to obtain necessary data from external sources.

[0524] "Means of analyzing acquired information and generating travel routes that best suit the user's preferences" refers to algorithms and analysis programs that use collected data to create travel plans that best suit the information entered by the user.

[0525] "Means for visually displaying the generated travel route on a map" refers to a user interface or rendering function for displaying the generated travel route using a map service.

[0526] "Means for collecting post-trip reviews from users and updating the database" refers to the input interface and data processing functions for collecting feedback entered by users after their trip and reflecting it in the database.

[0527] This invention relates to a system that proposes optimal travel plans based on travel destinations and hobby / preference information entered by a user. A specific embodiment of this system is described below.

[0528] Accepting user input

[0529] Users use devices such as smartphones or PCs to enter detailed information such as travel destination, hobbies and preferences, travel schedule, budget, and number of people. This information is entered using a dedicated application or an input form on a website. For example, users enter information such as "Tokyo," "Japanese cuisine," "hot spring inn," "three-day trip," and "budget of 100,000 yen."

[0530] Data submission and collection

[0531] The entered data is sent from the device to a server. Cloud services and APIs are used via the internet for transmission. The server receives this information and sends queries to external databases to collect related information. Specifically, it uses restaurant information services, travel and accommodation information services, map information services, etc. For example, it obtains Japanese restaurant information from a restaurant information service and collects hot spring inn information from a travel and accommodation information service.

[0532] Data analysis

[0533] The server uses an analysis program to analyze the collected information. This analysis process selects and prioritizes the options that best match the user's tastes and preferences. For example, the Pandas library is used to organize the data, and sorting and filtering is done in Python. A list of Japanese restaurants can be sorted by food rating and distance to select the best restaurant within the user's budget.

[0534] Generate travel routes

[0535] Based on the analysis results, the server generates the optimal travel route. This route generation process uses a route generation algorithm. An efficient travel route is calculated taking into account the user's travel time, the tourist spots to be visited, and the relative locations of accommodations. As an example, on the first day, a route is created that includes visiting tourist spots in Tokyo in the morning, having a Japanese lunch in the afternoon, and checking into a hot spring inn in the evening.

[0536] Route display and suggestions

[0537] The generated travel route is sent from the server to the device. The device visually displays the travel route using a map service. Specifically, the route is drawn on a map using the Yahoo! Maps API, etc., making it easy for the user to check. The user can then check this travel plan on the map and customize it as needed.

[0538] Enter reviews and update the database

[0539] After a trip, users input reviews of the places they visited and the services they used into their device. These reviews are sent from the device to a server, where they are collected and analyzed. The reviews are analyzed using natural language processing technology, and the results are reflected in the database. This allows the system to improve the accuracy of its suggestions for future trips.

[0540] Examples of specific examples and prompts

[0541] For example, if a user inputs "I want to go to Tokyo," "I like Japanese restaurants," and "I want to stay at a hot spring inn," the system will process it as follows:

[0542] The user inputs "Tokyo," "Japanese cuisine," "hot spring inn," "three-day trip," and "budget of 100,000 yen" into the device and presses the send button. The server collects and analyzes related information from an external database and generates an optimal travel route: sightseeing spots in Tokyo in the morning of the first day, Japanese lunch in the afternoon, and check-in at the hot spring inn in the evening. The device visually displays this travel route on a map and suggests it to the user. After the trip, the user enters a review, which the server collects and updates the database.

[0543] An example of input to the generative AI model is as follows:

[0544] "Please create a three-day itinerary for Tokyo. I enjoy Japanese restaurants and would like to stay at a hot spring inn. My budget is 100,000 yen."

[0545] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0546] Step 1:

[0547] The user uses a device to input detailed information such as travel destination, hobbies and preferences, travel schedule, budget, and number of people. For example, they input "Tokyo," "Japanese cuisine," "hot spring inn," "3-day trip," and "budget 100,000 yen." The input data is sent from the device to the server by clicking the send button or touching the screen.

[0548] Input: User's travel-related information (travel destination, hobbies, preferences, schedule, budget, number of people)

[0549] Output: User input sent to the server

[0550] Step 2:

[0551] The server receives user-entered information sent from the device. The received data is saved in JSON format or similar and recorded in a database. The server then generates a query to an external database based on that information.

[0552] Input: User input information sent from the device

[0553] Output: External database query

[0554] Step 3:

[0555] The server uses the generated query to send queries to external databases (restaurant information service, travel and accommodation information service, map information service, etc.) to obtain related travel destination information, restaurant information, and accommodation information. The data returned from the external database is stored on the server.

[0556] Input: External database query

[0557] Output: Travel destination information, restaurant information, and accommodation information obtained from external databases

[0558] Step 4:

[0559] The server analyzes the collected data, using Python and the Pandas library to organize the data and select the options that best fit the user's preferences. For example, it sorts a list of Japanese restaurants by rating points and distance to select the best restaurant within the user's budget.

[0560] Input: Travel destination information, restaurant information, accommodation information obtained from external databases

[0561] Output: Parsed data (prioritized restaurants and accommodations)

[0562] Step 5:

[0563] The server generates an optimal travel route based on the analyzed data. Using a route generation algorithm, it calculates an efficient travel route by comprehensively considering the user's travel time, planned tourist spots, and the relative locations of accommodations. For example, it creates a route that includes visiting tourist spots in Tokyo in the morning on the first day, a Japanese lunch in the afternoon, and checking into a hot spring inn in the evening.

[0564] Input: Parsed data (prioritized restaurants and accommodations)

[0565] Output: Optimal travel route (including visit order and mode of transportation)

[0566] Step 6:

[0567] The generated travel route is sent from the server to the device, which then visually displays the travel route using the Yahoo! Maps API. Users can check specific places to visit and travel routes on the map and customize them as needed.

[0568] Input: Optimal travel route (including visit order and mode of transportation)

[0569] Output: Visual representation of the travel route (map on the device screen)

[0570] Step 7:

[0571] After the trip, the user uses the device to enter reviews of the places visited and the services used. The reviews include specific ratings and comments. The entered reviews are sent from the device to the server.

[0572] Input: User review information (ratings, comments)

[0573] Output: Review information sent to the server

[0574] Step 8:

[0575] The server receives the review information sent by the user and analyzes it using natural language processing technology. The analysis results are recorded in a database and used to improve the accuracy of future suggestions. The server updates the database based on the analysis results, improving the accuracy of travel plan suggestions.

[0576] Input: Review information sent to the server

[0577] Output: Updated database (analysis results based on review)

[0578] (Application example 1)

[0579] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0580] Conventional travel plan suggestion systems can generate optimal travel routes based on a user's hobbies and preferences and display them on a map, but they lack functionality to support actual travel. This forces users to individually create complex travel plans, which increases fatigue and stress during travel. Furthermore, there are limited ways to check information about planned visits and accommodations in real time during a trip, which can potentially degrade the quality of the travel experience.

[0581] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0582] In this invention, the server includes: means for inputting data based on a user's designated travel destination and hobbies and preferences; means for acquiring related travel destination information, restaurant information, and accommodation information from an external database; means for analyzing the acquired information and generating a travel route optimal for the user's preferences; means for visually displaying the generated travel route on a map; means for collecting post-travel reviews from users and updating the database; means for transmitting optimal travel route information based on the user's preferences to a navigation system of the autonomous vehicle; means for controlling the autonomous vehicle to execute the travel route; and means for displaying information on planned visits and stays during the trip on the display of the autonomous vehicle and the user's mobile information terminal. This enables users to automatically manage complicated travel plans and check their travel and schedule in real time, resulting in a comfortable and efficient travel experience.

[0583] "Travel destination information" is detailed information about areas and tourist spots that the user wishes to visit.

[0584] "Hobbies and Preferences" is information about the activities and categories of interest that a user has.

[0585] "Means of acquisition" refers to the method or process for acquiring the required information from the external database.

[0586] An "external database" is an external information source that provides restaurant information, accommodation information, tourist spot information, and the like.

[0587] "Means of analysis" refers to the method of analyzing the acquired data based on the user's hobbies and preferences to find the optimal option.

[0588] The "travel route" refers to a travel route including the user's planned visits and stays.

[0589] The "means for visually displaying on a map" refers to a method for visually displaying the generated travel route in a manner that is easy for the user to understand.

[0590] A "review" is an evaluation or comment made by a user on the places they visited or the services they used after their trip.

[0591] "Means for updating the database" refers to the method by which new information and user reviews are added to the existing database to keep the information up to date.

[0592] A "navigation system" is a system that guides an autonomous vehicle to its destination by following a specified route.

[0593] An "autonomous vehicle" is a vehicle that drives itself automatically without requiring user operation.

[0594] A "display" is a display device that allows a user to visually confirm information.

[0595] A "portable information terminal" is an information communication device that can be carried by a user, and includes smartphones, tablets, and the like.

[0596] "Optimal travel route information" is information that takes into maximum consideration the user's hobbies and preferences, optimizing the order in which to visit travel destinations and the means of transportation.

[0597] The "means for executing a travel route" refers to a method for controlling an autonomous vehicle based on the generated travel route and for actually traveling.

[0598] 1. Overall Overview:

[0599] This invention is a system that proposes optimal travel plans based on travel destination and hobby / preference information entered by the user. This system is realized by a program that acquires travel destination information, restaurant information, and accommodation information from an external database and analyzes and processes them according to the user's request. It also executes the generated travel route using an autonomous vehicle and supports travel during the trip.

[0600] 2. Accept user input:

[0601] The user inputs details about the trip (travel destination, hobbies, preferences, number of people, etc.) into the terminal. The input information is sent to the server.

[0602] 3. Data Collection:

[0603] The server sends queries to external databases (restaurant information service, travel accommodation information service, map information service) based on the input travel destination and hobbies / preferences, thereby collecting related travel destination information, restaurant information, and accommodation information.

[0604] 4. Data Analysis:

[0605] The collected data is analyzed internally on the server. The analysis process selects and prioritizes the options that best match the user's tastes and preferences. For example, if a user prefers "Japanese food," Japanese restaurants will be prioritized from the collected restaurant information.

[0606] 5. Travel route generation:

[0607] The server then generates an optimal travel route based on the analyzed data. This route generation process takes into consideration the user's travel time, the tourist spots they plan to visit, and the relative locations of their accommodations.

[0608] 6. Route display and suggestions:

[0609] The generated travel route is sent to the device and displayed visually. The device uses a map service to display the travel route in an easy-to-understand manner for the user. The user can check specific visiting spots and travel routes on the map.

[0610] 7. Enter your reviews and update the database:

[0611] After traveling, users input reviews of the places they visited and the services they used into their devices. This review information is sent to the server and stored in a collection database. The server analyzes the collected reviews and updates the database to improve the accuracy of future suggestions.

[0612] 8. Utilizing autonomous vehicles:

[0613] The server sends optimal travel route information based on the user's preferences to the autonomous vehicle's navigation system. The autonomous vehicle uses this information to execute the travel route and guide the user to their destination. Furthermore, information about planned visits and places of stay during the trip is displayed on the autonomous vehicle's display and the user's mobile information device.

[0614] As a concrete example, we will explain the system's processing when a user inputs "I want to go to Tokyo," "I like Japanese restaurants," and "I want to stay at a hot spring inn." The user inputs "Tokyo," "Japanese food," "hot spring inn," "3-day trip," and "budget 100,000 yen" into their terminal. The input information is sent to the server. The server collects restaurant information, accommodation information, and tourist spot information corresponding to "Tokyo," "Japanese food," and "hot spring inn" from an external database. For example, it obtains Japanese restaurant information from a restaurant information service and hot spring inn information from a travel and accommodation information service. The server analyzes the collected data and selects the option that best matches the user's preferences. Based on the analyzed data, a route is generated for the first day: sightseeing spots in Tokyo in the morning, a Japanese lunch in the afternoon, and check-in at the hot spring inn in the evening. This route information is sent to the autonomous vehicle, and the travel route is executed.

[0615] Example prompt sentence:

[0616] Travel destination: "Tokyo"

[0617] Hobbies and interests: {"food": "Japanese food", "stay": "hot spring inn"}

[0618] Budget: 100,000 yen

[0619] Trip Itinerary: "3 days"

[0620] Suggest travel routes and navigate with your self-driving vehicle.

[0621] Using this prompt, the autonomous vehicle can actually travel based on the trip plan, making the travel experience more comfortable.

[0622] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0623] Step 1:

[0624] The user uses a device to input detailed information about the trip, such as the destination, hobbies and preferences, travel schedule, budget, and number of people. This information is formatted in JSON format and sent to the server. Specific data input may include, for example, "Tokyo," "Japanese cuisine," "hot spring inn," "three-day trip," and "budget of 100,000 yen."

[0625] Step 2:

[0626] The server sends queries to external databases based on the received data. Specifically, it requests information related to travel destinations and hobbies and preferences from each external database (restaurant information service, travel and accommodation information service, map information service). This request is made through an API, and the results are returned to the server.

[0627] Step 3:

[0628] The server analyzes the data collected from external databases. Specific steps in the analysis include selecting and prioritizing options that best match the user's tastes and preferences. For example, it selects highly rated Japanese restaurants from the collected restaurant information and sorts the list based on distance and budget. Similarly, it selects the best hot spring inns for accommodation.

[0629] Step 4:

[0630] The server generates the optimal travel route based on the analyzed data. The travel route generation takes into consideration the order of the planned tourist spots to be visited, travel time, and the relative locations of accommodations. A specific output might include a route plan such as "visit tourist spots in Tokyo in the morning on the first day, have a Japanese lunch in the afternoon, and check into a hot spring inn in the evening."

[0631] Step 5:

[0632] The generated travel route information is sent to the device and displayed visually. By using a map service to display the generated route on a map, users can check specific places to visit and the route they will travel. They can also customize the route as needed.

[0633] Step 6:

[0634] The server sends the route information to the autonomous vehicle's navigation system. Based on the received route information, the navigation system generates control information to guide the autonomous vehicle to its destination. The autonomous vehicle then travels according to this information. Information about planned visits and places to stay is displayed on the in-vehicle display.

[0635] Step 7:

[0636] After a trip, users enter reviews of the places and services they used into their device. This review information is sent to the server and stored in a database. The server analyzes these reviews and updates the database to improve the accuracy of future travel plan suggestions.

[0637] Through these steps, users can automatically manage complicated travel plans and comfortably check their travel and schedules while traveling.

[0638] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0639] 1. Overall Overview:

[0640] The system of this invention proposes optimal travel plans by combining information about travel destinations and hobbies and preferences entered by the user with an emotion engine that recognizes the user's emotions. This system is realized by a program that obtains travel destination information, restaurant information, and accommodation information from an external database, and analyzes and processes the information according to the user's requests and emotional state.

[0641] 2. Introducing the Emotion Engine:

[0642] The emotion engine is a device that analyzes a user's emotions based on the text, voice, and facial recognition data they input. This emotional data is reflected in the system and influences the selection of travel destinations and activities.

[0643] 3. Accept user input:

[0644] Users input their travel destination, hobbies, preferences, travel itinerary, budget, number of people, and emotional data into the device and press the send button. This information is sent from the device to the server. Emotional data may also be entered in real time, dynamically adjusting the user's experience.

[0645] 4. Data Collection:

[0646] The server sends queries to external databases (restaurant information service, travel accommodation information service, map information service) based on the input travel destination, hobbies, preferences, and emotion data, thereby collecting related travel destination information, restaurant information, and accommodation information.

[0647] 5. Data Analysis:

[0648] The collected data and emotional data are analyzed within the server. The analysis process selects and prioritizes the options that best match the user's hobbies, preferences, and emotional state. For example, if a user likes Japanese food and is currently feeling like relaxing, the system will prioritize Japanese restaurants with a relaxing atmosphere.

[0649] 6. Travel route generation:

[0650] The server then generates an optimal travel route based on the analyzed data. This route generation process takes into consideration the user's travel time, the tourist spots they plan to visit, and the relative locations of their accommodations. Furthermore, based on data from the emotion engine, the server creates a plan that takes into account the user's current emotional state.

[0651] 7. Route display and suggestions:

[0652] The generated travel route is sent to the device and displayed visually. The device uses a map information service to display the travel route in an easy-to-understand manner for the user. The user can check specific visiting spots and travel routes on the map.

[0653] 8. Entering reviews and updating the database:

[0654] After traveling, users input reviews of the places they visited and the services they used into their device. This review information is sent to the server and stored in a collection database. The server analyzes the collected reviews and sentiment data and updates the database to improve the accuracy of future suggestions.

[0655] Specific examples

[0656] As an example, we will explain how the system processes when a user inputs "I want to go to Kyoto," "I like tea ceremony experiences," and "I prefer quiet lodgings."

[0657] 1. Accept user input:

[0658] The user inputs "Kyoto," "tea ceremony experience," "quiet lodging," "three-day trip," and "budget of 150,000 yen" into the device, and also sends emotional data such as "I want to relax."

[0659] 2. Data Collection:

[0660] The server collects information on facilities and tourist spots that correspond to "Kyoto," "tea ceremony experience," and "quiet lodgings" from external databases. For example, it obtains tea room information from a restaurant information service and quiet lodging information from a travel and accommodation information service.

[0661] 3. Data Analysis:

[0662] The server analyzes the collected data and emotional data, sorting the list of facilities offering tea ceremony experiences by rating and quietness, and prioritizing the option that best matches the user's desire to "relax."

[0663] 4. Travel route generation:

[0664] Based on the analyzed data, a route is generated that includes a tea ceremony experience in the morning of the first day, a relaxing tourist spot in the afternoon, and checking into a quiet inn in the evening.

[0665] 5. Route display and suggestions:

[0666] To visually display the generated travel route, the system works with a map information provider and sends display data to the device. The user can view the map, check specific spots to visit, and travel routes, and make adjustments as necessary.

[0667] 6. Enter your reviews and update the database:

[0668] After the trip, the user inputs reviews of the facilities they visited into the terminal and sends them to the server, which analyzes the reviews and emotional feedback and updates the database.

[0669] In this way, the system of the present invention provides optimal travel plans based on the user's individual preferences and emotional state, and continuously improves the service through post-trip feedback.

[0670] The processing flow will be explained below.

[0671] Step 1:

[0672] The user inputs the travel destination, hobbies, preferences, travel schedule, budget, number of people, and emotional data into the terminal, and presses the send button. This information is sent from the terminal to the server.

[0673] Step 2:

[0674] The server receives the data sent by the user and stores it in a database for analysis, including travel destination, hobbies and preferences, travel itinerary, budget, number of people, and emotional data.

[0675] Step 3:

[0676] The server sends queries to external databases (restaurant information service, travel accommodation information service, map information service) based on the entered travel destination, hobbies, preferences, and emotion data, thereby collecting related travel destination information, restaurant information, and accommodation information.

[0677] Step 4:

[0678] The server receives the JSON data returned from the external database, structures it, and begins parsing it. The collected data is categorized into travel destinations, restaurants, accommodations, etc.

[0679] Step 5:

[0680] The server analyzes the data and filters it to select the options that best match the user's tastes, preferences, and emotional state. Prioritization is based on parameters such as rating points, distance, price, and emotional data.

[0681] Step 6:

[0682] The server generates an optimal travel route based on the selected options. The generated route takes into account the user's travel time, the location of tourist attractions, and the location of accommodations. Furthermore, data from the emotion engine is used to create a plan that takes into account the user's current emotional state.

[0683] Step 7:

[0684] In order to visually display the generated travel route, the server cooperates with a map information provider (e.g., Yahoo! Maps) to prepare data for visual display.

[0685] Step 8:

[0686] The device receives the display data from the server and visually displays the travel route on a map for the user. The user can check specific spots to visit and travel routes on the map and customize them as needed.

[0687] Step 9:

[0688] Users can input emotional data in real time while traveling, and the system will reflect their current emotional state. For example, if they feel "tired" at a certain tourist spot, they can input that information.

[0689] Step 10:

[0690] The server analyzes the emotion data received in real time and dynamically adjusts the current travel route. For example, if the user feels tired, the next destination will be changed to a relaxation facility.

[0691] Step 11:

[0692] After traveling, the user uses the terminal to input reviews of the places visited and the services used, and transmits the reviews to the server.

[0693] Step 12:

[0694] The server receives and analyzes reviews sent by users. The review information is stored in a database and is reflected in subsequent travel plan generation.

[0695] Step 13:

[0696] The server updates the database based on the collected reviews and emotion information, improving the accuracy of future suggestions, thereby generating travel plans that better suit the user's preferences and emotional state.

[0697] Through this series of steps, users can obtain optimal travel plans based on their individual preferences and emotional state, and encourage the system to continuously improve through feedback during and after the trip.

[0698] Example 2

[0699] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0700] Conventional travel plan generation systems guide users to travel routes based on their specified destinations, hobbies, and preferences. However, these systems do not take into account the user's emotional state, which can result in disappointing travel experiences. Furthermore, there is a lack of effective ways to utilize post-trip feedback, limiting the accuracy of suggestions for future trips. To address these issues, a system is needed that incorporates the user's emotional data and proposes optimal travel routes accordingly.

[0701] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0702] In this invention, the server includes means for inputting emotion data in addition to travel destinations and hobbies / preferences specified by the user, means for acquiring related travel destination information, restaurant information, and accommodation information from an external database, means for analyzing the acquired information and emotion data and generating a travel route optimal for the user's preferences and emotions, means for visually displaying the generated travel route on a map, and means for collecting post-trip reviews from users and updating the database, thereby enabling the server to propose an optimal travel route tailored to the user's emotional state.

[0703] "User" refers to an individual or organization that uses the system to create a travel plan.

[0704] "Terminal" refers to an electronic device used by a user, such as a computer, smartphone, or tablet.

[0705] "Server" refers to a central computer that receives input data from users and processes it to generate travel plans.

[0706] "Destination Information" refers to data about areas and cities that a user plans to visit.

[0707] "Hobbies and Preference Information" refers to information related to a user's preferences and interests.

[0708] "Emotion data" refers to data that indicates the user's current emotional state, and includes text, voice, facial recognition data, and the like.

[0709] "External database" refers to an external data storage system that provides restaurant information, travel and accommodation information, map information, etc.

[0710] A "travel route" refers to a plan showing the order of places and facilities that a user plans to visit during a trip.

[0711] "Analysis" refers to the process of deriving optimal options based on the user's preferences and emotional state using collected data.

[0712] "Review" refers to feedback information provided by a user after a trip.

[0713] "Map Display" refers to a display of data that allows a user to visually see their travel route.

[0714] MODE FOR CARRYING OUT THE INVENTION

[0715] The present invention is a system that analyzes information acquired from an external database using travel destinations, hobbies, preferences, and emotion data entered by the user, and proposes optimal travel routes to the user. Detailed embodiments for carrying out the present invention are described below.

[0716] First, this system consists of a terminal used by the user and a server that processes information. The terminal is an electronic device such as a personal computer, smartphone, or tablet, and the user uses it to input travel destinations, hobbies, preferences, and emotional data.

[0717] When a user inputs travel destination, hobbies and preferences, travel itinerary, budget, number of people, and emotional data into the device and presses the send button, this information is sent from the device to the server, which then uses an emotion engine (such as a natural language processing model or facial recognition software) to analyze the user's emotional state from the input data.

[0718] The emotion engine analyzes user input data (text, voice, images, etc.) and generates emotion data, which is an important element in customizing the user's travel plan.

[0719] The server acquires relevant travel destination information, restaurant information, and accommodation information from external databases (e.g., restaurant information services, travel and accommodation information services, map information services). The acquired data is analyzed based on the user's hobbies, preferences, and emotional data, and is used to generate the optimal travel route.

[0720] This analysis process prioritizes the options that best match the user's hobbies, preferences, and emotional state, and generates a travel route. For example, if a user likes Japanese food and has the emotion of wanting to relax, Japanese restaurants with a relaxing atmosphere will be prioritized.

[0721] The server then generates an optimal travel route based on the analysis results. This route generation process comprehensively considers the user's travel time, the tourist spots they plan to visit, and the relative locations of their accommodations, and also creates a plan that takes into account the user's current emotional state based on their emotional data.

[0722] The generated travel route is sent to the device and displayed visually in conjunction with a map information service. The user can check specific spots to visit and travel routes on the map and make adjustments as necessary.

[0723] Finally, after their trip, users enter reviews of the places they visited and the services they used into their device. This review information is sent to the server, where it is collected, analyzed, and updated to update the database. The server analyzes the collected reviews and sentiment data and updates the database to improve the accuracy of future suggestions.

[0724] Specific examples

[0725] For example, if the user inputs "I want to go to Kyoto," "I like to experience the tea ceremony," and "I prefer quiet lodgings," the system will process as follows:

[0726] 1. The user inputs "Kyoto," "tea ceremony experience," "quiet lodging," "three-day trip," and "budget of 150,000 yen" into the device. The user also sends emotional data such as "I want to relax."

[0727] 2. The server collects information related to "Kyoto," "tea ceremony experience," and "quiet lodging" from an external database.

[0728] 3. The server analyzes the collected information and emotion data to generate an optimal travel route, for example, a plan for the first day that includes a tea ceremony experience in the morning, a relaxing sightseeing spot in the afternoon, and checking into a quiet inn in the evening.

[0729] 4. The generated travel route is sent to the device and visually displayed on a map.

[0730] 5. After the trip, the user enters reviews of the facilities they visited into the terminal, and the server updates the database based on these reviews.

[0731] In this way, the system of the present invention provides optimal travel plans based on the user's preferences and emotions, and continuously improves the service through post-trip feedback.

[0732] Prompt Sentence Examples

[0733] The user enters the following information into the system:

[0734] "I want to go to Kyoto"

[0735] "I like the tea ceremony experience"

[0736] "I prefer a quiet place to stay"

[0737] "Three-day trip"

[0738] "Budget: 150,000 yen"

[0739] "I want to relax"

[0740] This allows the system to provide optimal travel plans.

[0741] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0742] Specific processing flow of the system

[0743] Step 1: Accepting user input

[0744] Description: The user enters travel destination, hobbies and preferences, travel schedule, budget, number of people, and emotional data into the terminal, and presses the send button.

[0745] Input: "Travel destination", "Hobbies and preferences", "Travel schedule", "Budget", "Number of people", "Emotional data"

[0746] Operation:

[0747] The user enters information such as "Kyoto," "tea ceremony experience," "quiet lodging," "3 days," "150,000 yen," and "want to relax" into the device's input screen.

[0748] When the send button is pressed, the terminal composes this information into a data packet and sends it to the server.

[0749] Output: The user's input data is sent to the server.

[0750] Step 2: Analyze the emotion data

[0751] Description: The server analyzes the emotion data from the received data using the emotion engine.

[0752] Input: User input data (especially "emotion data")

[0753] Operation:

[0754] The server uses an emotion engine (such as a natural language processing model or facial recognition software) to analyze the user's emotions from text and voice input data.

[0755] The emotion engine determines emotional states such as "I want to relax."

[0756] Output: User's emotional state data

[0757] Step 3: Collect data

[0758] Description: Based on the user's input data and emotional state, the server retrieves relevant travel destination information, restaurant information, and accommodation information from an external database.

[0759] Input: User input data, emotional state data

[0760] Operation:

[0761] The server sends a query to each external database (restaurant information service, travel and accommodation information service, map information service).

[0762] This allows the system to obtain information on facilities and tourist spots that correspond to, for example, "Kyoto," "tea ceremony experience," and "quiet lodging."

[0763] The server sends an SQL query to the external database, such as:

[0764] SELECT FROM Restaurants WHERE Category='Tea Ceremony' AND Location='Kyoto';

[0765] SELECT FROM Hotels WHERE Type='Quiet' AND Location='Kyoto';

[0766] Output: Collected travel destination information, restaurant information, and accommodation information

[0767] Step 4: Analyze the data

[0768] Description: The server selects the options that best suit the user's preferences and emotions based on the collected data and emotional data.

[0769] Input: Collected travel destination information, restaurant information, accommodation information, and user emotional state data

[0770] Operation:

[0771] The server compares the collected data with the user's emotional data and assigns priorities.

[0772] Prioritize the emotional data of "wanting to relax" and extract the optimal option that suits the user.

[0773] The server runs the following algorithm:

[0774] Sort(Restaurants) By Rating DESC, Quietness DESC;

[0775] Sort(Hotels) By Quietness DESC, Rating DESC;

[0776] Output: Prioritized travel destination information and accommodation information

[0777] Step 5: Generate travel routes

[0778] Description: The server generates the optimal travel route based on the analysis results.

[0779] Input: Prioritized travel destination information and accommodation information

[0780] Operation:

[0781] For example, the server will create a plan for the first day that includes a tea ceremony experience in the morning, a relaxing tourist spot in the afternoon, and checking into a quiet inn in the evening.

[0782] Specifically, it generates the following schedule:

[0783] Day 1 Morning: Tea Ceremony at Kiyomizu Temple

[0784] Day 1 Afternoon: Relax at Maruyama Park

[0785] Day 1 Evening: Check-in at Ryokan [Quiet Hotel]

[0786] Output: Generated travel route

[0787] Step 6: View and suggest routes

[0788] Description: Send the generated travel route to the device and display it visually.

[0789] Input: Generated travel route

[0790] Operation:

[0791] The server converts the generated route into JSON format data and sends it to the terminal.

[0792] The device analyzes this data and displays it visually using a map information service.

[0793] Users can check their travel route on the device screen and zoom in and out on the map to view more detailed information.

[0794] Output: A visual representation of the travel route

[0795] Step 7: Enter reviews and update the database

[0796] Description: Users enter reviews after their trips, and the server updates the database accordingly.

[0797] Enter: Post-trip review

[0798] Operation:

[0799] After the trip, the user inputs reviews of the facilities and accommodations they visited on the application on their terminal.

[0800] An example review would be, "The tea ceremony experience was very relaxing. The accommodation was quiet and comfortable."

[0801] The terminal sends this information to the server.

[0802] The server analyzes the received reviews and updates the rating data of the relevant facilities and services.

[0803] Output: Updated database

[0804] The above is a detailed description of the specific processing flow of the system and each processing step.

[0805] (Application example 2)

[0806] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0807] Conventional travel plan suggestion systems only make suggestions based on the user's static preferences and specified conditions, making it difficult to respond to the user's emotional state or real-time psychological needs. Furthermore, they lacked a mechanism for utilizing post-trip feedback information to improve the accuracy of future suggestions. This made it difficult to provide highly accurate suggestions that matched the user's psychological state.

[0808] The specification processing by the specification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes: means for inputting data based on the travel destination and hobbies and preferences specified by the user; means for acquiring related travel destination information, restaurant information, and accommodation information from an external database; means for analyzing the acquired information and generating a travel route optimal for the user's preferences; means for visually displaying the generated travel route on a map; means for collecting post-travel reviews from the user and updating the database; and means for analyzing the user's emotional state and suggesting optimal dining experiences and travel plans based on the results. This makes it possible to propose highly accurate travel plans that take into account the user's real-time emotional state and psychological needs.

[0809] "Means for inputting data based on the travel destination and hobbies and preferences specified by the user" refers to an interface that allows the user to input information such as travel destination, hobbies and preferences, budget, and schedule.

[0810] "Means for acquiring related travel destination information, restaurant information, and accommodation information from external databases" means a function that automatically acquires information about travel destinations, restaurants, and accommodation information from external information providing services.

[0811] "Means for analyzing the acquired information and generating a travel route that best suits the user's preferences" refers to an algorithm or system that generates an optimal travel route that matches the user's preferences and conditions based on the acquired information.

[0812] The "means for visually displaying the generated travel route on a map" refers to a display device or software for displaying the generated travel route on a map and making it visible to the user.

[0813] The "means for collecting post-trip reviews from users and updating the database" refers to a function that collects feedback from users after their trip and reflects it in the database to improve the accuracy of future suggestions.

[0814] "Means for analyzing the user's emotional state and proposing optimal dining experiences and travel plans based on this" refers to an emotion analysis engine or software that analyzes user input and real-time emotional data and proposes dining experiences and travel plans that match that emotional state.

[0815] A specific system for implementing the present invention is configured using the following hardware and software.

[0816] System hardware and software configuration

[0817] Hardware: Smartphone (used as a user interface), cloud server (data analysis, database management)

[0818] software:

[0819] Smartphone app: An interface where users input travel destinations, preferences, and emotional states

[0820] Sentiment analysis engine: Software for analyzing emotion data (e.g., Python-based EmotionAPI)

[0821] Database system: A relational database such as PostgreSQL

[0822] External API: Google Maps API (provides map information), restaurant information API, accommodation information API, etc.

[0823] System Operation

[0824] 1. Accepting user input

[0825] Users use a smartphone app to input information such as travel destination, hobbies and preferences, travel schedule, budget, number of people, emotional state, etc. This input information is sent to a cloud server.

[0826] 2. Data collection

[0827] The cloud server sends queries to external databases (such as restaurant information services, travel and accommodation information services, and map information services) to collect related travel destination information, restaurant information, and accommodation information.

[0828] 3. Data Analysis

[0829] The data and emotional data collected on the cloud server are analyzed. The emotion analysis engine analyzes emotions based on the user's text input, voice data, and facial recognition data. Based on the results of this analysis, the option that best matches the user's emotional state and preferences is selected. For example, if a user likes "Japanese food" and is currently feeling like "relaxing," relaxing Japanese restaurants will be prioritized.

[0830] 4. Travel route generation

[0831] Based on the analyzed data, the cloud server generates an optimal travel route, taking into consideration the user's travel time, planned tourist spots, the location of accommodations, and the user's current emotional state.

[0832] 5. Route display

[0833] The generated travel route is sent to a smartphone app and displayed visually using a map information service, allowing users to check specific places to visit and travel routes on the map.

[0834] 6. Enter reviews and update the database

[0835] After a trip, users enter reviews of the places they visited and the services they used into a smartphone app and send them to a cloud server. The cloud server analyzes the reviews and emotional feedback and updates the database to improve the accuracy of suggestions for future trips.

[0836] Specific examples

[0837] For example, if the user types:

[0838] Travel destination: Kyoto

[0839] Hobbies and interests: Tea ceremony experience

[0840] Accommodation: Quiet Inn

[0841] Trip duration: 3 days

[0842] Budget: 150,000 yen

[0843] Emotional state: I want to relax

[0844] Prompt Sentence Examples

[0845] Enter your travel destination: Kyoto

[0846] Please enter your hobbies and interests: Tea ceremony experience

[0847] Please enter your accommodation preference: Quiet accommodation

[0848] Enter your travel dates: 3 days

[0849] Please enter your budget: 150,000 yen

[0850] Please describe your current emotional state (relaxed / enjoyed / adventurous): Relaxed

[0851] Based on this input information, the cloud server retrieves related information from an external database and proposes the optimal travel plan to the user based on the results of sentiment analysis.The user then travels based on this and enters a review after the trip, which improves the accuracy of the proposals next time.

[0852] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0853] Step 1:

[0854] The user uses a smartphone to input information such as travel destination, hobbies and preferences, travel itinerary, budget, number of people, and emotional state. The device then sends this data to a cloud server. Input data includes "travel destination: Kyoto," "hobbies and preferences: tea ceremony experience," and "budget: 150,000 yen." The server receives this information and stores it in a database.

[0855] Step 2:

[0856] The server sends queries to external information services (restaurant information services, travel accommodation information services, map information services, etc.) to obtain relevant travel destination information, restaurant information, and accommodation information. The obtained data includes information on places in Kyoto where you can experience tea ceremony and quiet accommodations. The server stores this information in a database for analysis.

[0857] Step 3:

[0858] On the server, an emotion analysis engine analyzes the user's emotional data. For example, if the user inputs "I want to relax," the emotion analysis engine recognizes the emotional state of "relaxed." The input data also includes the user's text data, which is analyzed to extract the emotional state. The results of this analysis are reflected in the generation of the travel plan.

[0859] Step 4:

[0860] The server runs an algorithm that generates an optimal travel route based on the collected information and analyzed emotional data. The algorithm prioritizes options that best match the user's preferences, taking into consideration factors such as travel time, planned tourist spots, and the location of accommodations. The generated travel route takes into account the user's emotional state of "wanting to relax."

[0861] Step 5:

[0862] The server sends the generated travel route to the smartphone device. The device receives this information and, in cooperation with the map information provider, visually displays the travel route on a map. The user can check specific visiting spots and travel routes on the smartphone. At this stage, the user can also adjust the route.

[0863] Step 6:

[0864] After the trip, users use their smartphones to write reviews of the places they visited and the services they used. These reviews include detailed feedback, such as, "The tea ceremony experience was very relaxing." The smartphones then send this review information to a cloud server.

[0865] Step 7:

[0866] The server analyzes the reviews and sentiment feedback submitted by users, stores them in a database, and updates it. The analysis results are stored to be reflected in future travel plan suggestions. This data is used to improve the accuracy of the algorithm.

[0867] Through these steps, highly accurate travel plan suggestions that match the user's emotional state and preferences are realized.

[0868] 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.

[0869] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0870] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[0871] [Third embodiment]

[0872] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0873] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0874] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the 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).

[0875] 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.

[0876] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0877] 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 surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0878] 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. 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.

[0879] 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.

[0880] 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 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.

[0881] 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.

[0882] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0883] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the headset type terminal 314 will be referred to as the "terminal."

[0884] 1. Overall Overview:

[0885] The system of this invention proposes optimal travel plans based on travel destination and hobby / preference information entered by the user. This system is realized by a program that obtains travel destination information, restaurant information, and accommodation information from an external database and analyzes and processes the information according to the user's request.

[0886] 2. Accept user input:

[0887] The user inputs details about the trip (travel destination, hobbies, preferences, number of people, etc.) into the terminal. The input information is sent to the server.

[0888] 3. Data Collection:

[0889] The server sends queries to external databases (e.g., restaurant information service, travel accommodation information service, map information service) based on the input travel destination and hobbies / preferences, thereby collecting related travel destination information, restaurant information, and accommodation information.

[0890] 4. Data Analysis:

[0891] The collected data is analyzed internally on the server. The analysis process selects and prioritizes the options that best match the user's hobbies and preferences. For example, if the user likes Japanese food, Japanese restaurants will be prioritized from the collected restaurant information.

[0892] 5. Travel route generation:

[0893] The server then generates an optimal travel route based on the analyzed data. This route generation process takes into consideration the user's travel time, the tourist spots they plan to visit, and the relative locations of their accommodations.

[0894] 6. Route display and suggestions:

[0895] The generated travel route is sent to the device and displayed visually. The device uses map services such as Yahoo! Maps to display the travel route in an easy-to-understand manner for the user. The user can check specific visiting spots and travel routes on the map.

[0896] 7. Enter your reviews and update the database:

[0897] After traveling, users input reviews of the places they visited and the services they used into their devices. This review information is sent to the server and stored in a collection database. The server analyzes the collected reviews and updates the database to improve the accuracy of future suggestions.

[0898] Specific examples

[0899] As an example, we will explain how the system processes when a user inputs "I want to go to Tokyo," "I like Japanese restaurants," and "I want to stay at a hot spring inn."

[0900] 1. Accept user input:

[0901] The user inputs "Tokyo," "Japanese cuisine," "hot spring inn," "three-day trip," and "budget of 100,000 yen" into the terminal. The input information is sent to the server.

[0902] 2. Data Collection:

[0903] The server collects restaurant information, accommodation information, and tourist spot information that correspond to "Tokyo," "Japanese cuisine," and "hot spring inns" from external databases. For example, it obtains Japanese restaurant information from PayPay Gourmet and hot spring inn information from Yahoo! Travel.

[0904] 3. Data Analysis:

[0905] The server analyzes the collected data and prioritizes the options that best match the user's preferences. It sorts the list of Japanese restaurants by food rating and distance, and selects the best restaurant that fits within the user's budget.

[0906] 4. Travel route generation:

[0907] Based on the analyzed data, a route is generated that includes visiting tourist spots in Tokyo in the morning on the first day, a Japanese lunch in the afternoon, and checking into a hot spring inn in the evening.

[0908] 5. Route display and suggestions:

[0909] The generated travel route is visually displayed on Yahoo! Maps and suggested to the user. The user can check specific places to visit and travel routes on the map and customize them as needed.

[0910] 6. Enter your reviews and update the database:

[0911] After a trip, users input reviews of the places they visited into their device and send them to the server, which analyzes the reviews and updates the database to improve the accuracy of future suggestions.

[0912] In this way, the system of the present invention is designed to enable users to easily obtain optimal travel plans and continuously improve the service through post-trip reviews.

[0913] The processing flow will be explained below.

[0914] Step 1:

[0915] The user enters detailed information such as the travel destination, hobbies, preferences, travel schedule, budget, number of people, etc. into the terminal and presses the send button. This information is sent from the terminal to the server.

[0916] Step 2:

[0917] The server receives the data sent by the user and stores it in a database for analysis, including information such as travel destination, hobbies and preferences, travel schedule, budget, and number of people.

[0918] Step 3:

[0919] The server sends queries to external databases (restaurant information service, travel accommodation information service, map information service) based on the entered travel destination and hobbies / preferences, thereby collecting related travel destination information, restaurant information, and accommodation information.

[0920] Step 4:

[0921] The server receives the JSON data returned from the external database, structures it, and begins parsing it. The collected data is categorized into travel destinations, restaurants, accommodations, etc.

[0922] Step 5:

[0923] The server analyzes the data and filters it to select the options that best suit the user's tastes and preferences, prioritizing them based on parameters such as rating points, distance, and price.

[0924] Step 6:

[0925] The server generates an optimal travel route based on the selected options. The generated route takes into account the user's travel time, the location of tourist attractions, and the location of accommodations.

[0926] Step 7:

[0927] In order to visually display the generated travel route, the server cooperates with a map information provider (e.g., Yahoo! Maps) to prepare data for visual display.

[0928] Step 8:

[0929] The device receives the display data from the server and visually displays the travel route on a map for the user. The user can check specific spots to visit and travel routes on the map and customize them as needed.

[0930] Step 9:

[0931] After traveling, the user uses the terminal to input reviews of the places visited and the services used, and transmits the reviews to the server.

[0932] Step 10:

[0933] The server receives and analyzes reviews sent by users. The review information is stored in a database and is reflected in subsequent travel plan generation.

[0934] Step 11:

[0935] The server updates the database based on the collected reviews and improves the accuracy of future suggestions, resulting in travel plans that are even more suited to the user's preferences.

[0936] Through this series of steps, users can obtain optimal travel plans based on their individual preferences and provide feedback to the system through post-trip reviews.

[0937] Example 1

[0938] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0939] Conventional travel plan suggestion systems have difficulty generating optimal travel routes that meet the user's individual hobbies, preferences, and detailed requirements. Furthermore, there is a lack of a mechanism for efficiently collecting post-trip reviews and reflecting them in future suggestions, which reduces the accuracy of the suggestions. There is a need to solve these issues and provide users with more accurate, personalized travel plans.

[0940] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0941] In this invention, the server includes a means for inputting data based on the user's designated travel destination and hobbies and preferences, a means for transmitting the input data to the server, a means for acquiring related travel destination information, restaurant information, and accommodation information from an external database, a means for analyzing the acquired information and generating a travel route that best suits the user's preferences, a means for visually displaying the generated travel route on a map, and a means for collecting post-trip reviews from users and updating the database, thereby enabling the provision of highly customized travel plans that meet the user's individual requests and continuous service improvement based on post-trip feedback.

[0942] "Means for inputting data based on user-specified travel destinations and hobbies and preferences" refers to devices or interfaces that allow users to input information about their travel destinations and interests.

[0943] "Means for transmitting input data to a server" refers to a communication interface or protocol for transmitting information input by a user to a server.

[0944] "Means of obtaining relevant travel destination information, restaurant information, and accommodation information from external databases" refers to API calls and database access functions to obtain necessary data from external sources.

[0945] "Means of analyzing acquired information and generating travel routes that best suit the user's preferences" refers to algorithms and analysis programs that use collected data to create travel plans that best suit the information entered by the user.

[0946] "Means for visually displaying the generated travel route on a map" refers to a user interface or rendering function for displaying the generated travel route using a map service.

[0947] "Means for collecting post-trip reviews from users and updating the database" refers to the input interface and data processing functions for collecting feedback entered by users after their trip and reflecting it in the database.

[0948] This invention relates to a system that proposes optimal travel plans based on travel destinations and hobby / preference information entered by a user. A specific embodiment of this system is described below.

[0949] Accepting user input

[0950] Users use devices such as smartphones or PCs to enter detailed information such as travel destination, hobbies and preferences, travel schedule, budget, and number of people. This information is entered using a dedicated application or an input form on a website. For example, users enter information such as "Tokyo," "Japanese cuisine," "hot spring inn," "three-day trip," and "budget of 100,000 yen."

[0951] Data submission and collection

[0952] The entered data is sent from the device to a server. Cloud services and APIs are used via the internet for transmission. The server receives this information and sends queries to external databases to collect related information. Specifically, it uses restaurant information services, travel and accommodation information services, map information services, etc. For example, it obtains Japanese restaurant information from a restaurant information service and collects hot spring inn information from a travel and accommodation information service.

[0953] Data analysis

[0954] The server uses an analysis program to analyze the collected information. This analysis process selects and prioritizes the options that best match the user's tastes and preferences. For example, the Pandas library is used to organize the data, and sorting and filtering is done in Python. A list of Japanese restaurants can be sorted by food rating and distance to select the best restaurant within the user's budget.

[0955] Generate travel routes

[0956] Based on the analysis results, the server generates the optimal travel route. This route generation process uses a route generation algorithm. An efficient travel route is calculated taking into account the user's travel time, the tourist spots to be visited, and the relative locations of accommodations. As an example, on the first day, a route is created that includes visiting tourist spots in Tokyo in the morning, having a Japanese lunch in the afternoon, and checking into a hot spring inn in the evening.

[0957] Route display and suggestions

[0958] The generated travel route is sent from the server to the device. The device visually displays the travel route using a map service. Specifically, the route is drawn on a map using the Yahoo! Maps API, etc., making it easy for the user to check. The user can then check this travel plan on the map and customize it as needed.

[0959] Enter reviews and update the database

[0960] After a trip, users input reviews of the places they visited and the services they used into their device. These reviews are sent from the device to a server, where they are collected and analyzed. The reviews are analyzed using natural language processing technology, and the results are reflected in the database. This allows the system to improve the accuracy of its suggestions for future trips.

[0961] Examples of specific examples and prompts

[0962] For example, if a user inputs "I want to go to Tokyo," "I like Japanese restaurants," and "I want to stay at a hot spring inn," the system will process it as follows:

[0963] The user inputs "Tokyo," "Japanese cuisine," "hot spring inn," "three-day trip," and "budget of 100,000 yen" into the device and presses the send button. The server collects and analyzes related information from an external database and generates an optimal travel route: sightseeing spots in Tokyo in the morning of the first day, Japanese lunch in the afternoon, and check-in at the hot spring inn in the evening. The device visually displays this travel route on a map and suggests it to the user. After the trip, the user enters a review, which the server collects and updates the database.

[0964] An example of input to the generative AI model is as follows:

[0965] "Please create a three-day itinerary for Tokyo. I enjoy Japanese restaurants and would like to stay at a hot spring inn. My budget is 100,000 yen."

[0966] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0967] Step 1:

[0968] The user uses a device to input detailed information such as travel destination, hobbies and preferences, travel schedule, budget, and number of people. For example, they input "Tokyo," "Japanese cuisine," "hot spring inn," "3-day trip," and "budget 100,000 yen." The input data is sent from the device to the server by clicking the send button or touching the screen.

[0969] Input: User's travel-related information (travel destination, hobbies, preferences, schedule, budget, number of people)

[0970] Output: User input sent to the server

[0971] Step 2:

[0972] The server receives user-entered information sent from the device. The received data is saved in JSON format or similar and recorded in a database. The server then generates a query to an external database based on that information.

[0973] Input: User input information sent from the device

[0974] Output: External database query

[0975] Step 3:

[0976] The server uses the generated query to send queries to external databases (restaurant information service, travel and accommodation information service, map information service, etc.) to obtain related travel destination information, restaurant information, and accommodation information. The data returned from the external database is stored on the server.

[0977] Input: External database query

[0978] Output: Travel destination information, restaurant information, and accommodation information obtained from external databases

[0979] Step 4:

[0980] The server analyzes the collected data, using Python and the Pandas library to organize the data and select the options that best fit the user's preferences. For example, it sorts a list of Japanese restaurants by rating points and distance to select the best restaurant within the user's budget.

[0981] Input: Travel destination information, restaurant information, accommodation information obtained from external databases

[0982] Output: Parsed data (prioritized restaurants and accommodations)

[0983] Step 5:

[0984] The server generates an optimal travel route based on the analyzed data. Using a route generation algorithm, it calculates an efficient travel route by comprehensively considering the user's travel time, planned tourist spots, and the relative locations of accommodations. For example, it creates a route that includes visiting tourist spots in Tokyo in the morning on the first day, a Japanese lunch in the afternoon, and checking into a hot spring inn in the evening.

[0985] Input: Parsed data (prioritized restaurants and accommodations)

[0986] Output: Optimal travel route (including visit order and mode of transportation)

[0987] Step 6:

[0988] The generated travel route is sent from the server to the device, which then visually displays the travel route using the Yahoo! Maps API. Users can check specific places to visit and travel routes on the map and customize them as needed.

[0989] Input: Optimal travel route (including visit order and mode of transportation)

[0990] Output: Visual representation of the travel route (map on the device screen)

[0991] Step 7:

[0992] After the trip, the user uses the device to enter reviews of the places visited and the services used. The reviews include specific ratings and comments. The entered reviews are sent from the device to the server.

[0993] Input: User review information (ratings, comments)

[0994] Output: Review information sent to the server

[0995] Step 8:

[0996] The server receives the review information sent by the user and analyzes it using natural language processing technology. The analysis results are recorded in a database and used to improve the accuracy of future suggestions. The server updates the database based on the analysis results, improving the accuracy of travel plan suggestions.

[0997] Input: Review information sent to the server

[0998] Output: Updated database (analysis results based on review)

[0999] (Application example 1)

[1000] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1001] Conventional travel plan suggestion systems can generate optimal travel routes based on a user's hobbies and preferences and display them on a map, but they lack functionality to support actual travel. This forces users to individually create complex travel plans, which increases fatigue and stress during travel. Furthermore, there are limited ways to check information about planned visits and accommodations in real time during a trip, which can potentially degrade the quality of the travel experience.

[1002] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1003] In this invention, the server includes: means for inputting data based on a user's designated travel destination and hobbies and preferences; means for acquiring related travel destination information, restaurant information, and accommodation information from an external database; means for analyzing the acquired information and generating a travel route optimal for the user's preferences; means for visually displaying the generated travel route on a map; means for collecting post-travel reviews from users and updating the database; means for transmitting optimal travel route information based on the user's preferences to a navigation system of the autonomous vehicle; means for controlling the autonomous vehicle to execute the travel route; and means for displaying information on planned visits and stays during the trip on the display of the autonomous vehicle and the user's mobile information terminal. This enables users to automatically manage complicated travel plans and check their travel and schedule in real time, resulting in a comfortable and efficient travel experience.

[1004] "Travel destination information" is detailed information about areas and tourist spots that the user wishes to visit.

[1005] "Hobbies and Preferences" is information about the activities and categories of interest that a user has.

[1006] "Means of acquisition" refers to the method or process for acquiring the required information from the external database.

[1007] An "external database" is an external information source that provides restaurant information, accommodation information, tourist spot information, and the like.

[1008] "Means of analysis" refers to the method of analyzing the acquired data based on the user's hobbies and preferences to find the optimal option.

[1009] The "travel route" refers to a travel route including the user's planned visits and stays.

[1010] The "means for visually displaying on a map" refers to a method for visually displaying the generated travel route in a manner that is easy for the user to understand.

[1011] A "review" is an evaluation or comment made by a user on the places they visited or the services they used after their trip.

[1012] "Means for updating the database" refers to the method by which new information and user reviews are added to the existing database to keep the information up to date.

[1013] A "navigation system" is a system that guides an autonomous vehicle to its destination by following a specified route.

[1014] An "autonomous vehicle" is a vehicle that drives itself automatically without requiring user operation.

[1015] A "display" is a display device that allows a user to visually confirm information.

[1016] A "portable information terminal" is an information communication device that can be carried by a user, and includes smartphones, tablets, and the like.

[1017] "Optimal travel route information" is information that takes into maximum consideration the user's hobbies and preferences, optimizing the order in which to visit travel destinations and the means of transportation.

[1018] The "means for executing a travel route" refers to a method for controlling an autonomous vehicle based on the generated travel route and for actually traveling.

[1019] 1. Overall Overview:

[1020] This invention is a system that proposes optimal travel plans based on travel destination and hobby / preference information entered by the user. This system is realized by a program that acquires travel destination information, restaurant information, and accommodation information from an external database and analyzes and processes them according to the user's request. It also executes the generated travel route using an autonomous vehicle and supports travel during the trip.

[1021] 2. Accept user input:

[1022] The user inputs details about the trip (travel destination, hobbies, preferences, number of people, etc.) into the terminal. The input information is sent to the server.

[1023] 3. Data Collection:

[1024] The server sends queries to external databases (restaurant information service, travel accommodation information service, map information service) based on the input travel destination and hobbies / preferences, thereby collecting related travel destination information, restaurant information, and accommodation information.

[1025] 4. Data Analysis:

[1026] The collected data is analyzed internally on the server. The analysis process selects and prioritizes the options that best match the user's tastes and preferences. For example, if a user prefers "Japanese food," Japanese restaurants will be prioritized from the collected restaurant information.

[1027] 5. Travel route generation:

[1028] The server then generates an optimal travel route based on the analyzed data. This route generation process takes into consideration the user's travel time, the tourist spots they plan to visit, and the relative locations of their accommodations.

[1029] 6. Route display and suggestions:

[1030] The generated travel route is sent to the device and displayed visually. The device uses a map service to display the travel route in an easy-to-understand manner for the user. The user can check specific visiting spots and travel routes on the map.

[1031] 7. Enter your reviews and update the database:

[1032] After traveling, users input reviews of the places they visited and the services they used into their devices. This review information is sent to the server and stored in a collection database. The server analyzes the collected reviews and updates the database to improve the accuracy of future suggestions.

[1033] 8. Utilizing autonomous vehicles:

[1034] The server sends optimal travel route information based on the user's preferences to the autonomous vehicle's navigation system. The autonomous vehicle uses this information to execute the travel route and guide the user to their destination. Furthermore, information about planned visits and places of stay during the trip is displayed on the autonomous vehicle's display and the user's mobile information device.

[1035] As a concrete example, we will explain the system's processing when a user inputs "I want to go to Tokyo," "I like Japanese restaurants," and "I want to stay at a hot spring inn." The user inputs "Tokyo," "Japanese food," "hot spring inn," "3-day trip," and "budget 100,000 yen" into their terminal. The input information is sent to the server. The server collects restaurant information, accommodation information, and tourist spot information corresponding to "Tokyo," "Japanese food," and "hot spring inn" from an external database. For example, it obtains Japanese restaurant information from a restaurant information service and hot spring inn information from a travel and accommodation information service. The server analyzes the collected data and selects the option that best matches the user's preferences. Based on the analyzed data, a route is generated for the first day: sightseeing spots in Tokyo in the morning, a Japanese lunch in the afternoon, and check-in at the hot spring inn in the evening. This route information is sent to the autonomous vehicle, and the travel route is executed.

[1036] Example prompt sentence:

[1037] Travel destination: "Tokyo"

[1038] Hobbies and interests: {"food": "Japanese food", "stay": "hot spring inn"}

[1039] Budget: 100,000 yen

[1040] Trip Itinerary: "3 days"

[1041] Suggest travel routes and navigate with your self-driving vehicle.

[1042] Using this prompt, the autonomous vehicle can actually travel based on the trip plan, making the travel experience more comfortable.

[1043] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1044] Step 1:

[1045] The user uses a device to input detailed information about the trip, such as the destination, hobbies and preferences, travel schedule, budget, and number of people. This information is formatted in JSON format and sent to the server. Specific data input may include, for example, "Tokyo," "Japanese cuisine," "hot spring inn," "three-day trip," and "budget of 100,000 yen."

[1046] Step 2:

[1047] The server sends queries to external databases based on the received data. Specifically, it requests information related to travel destinations and hobbies and preferences from each external database (restaurant information service, travel and accommodation information service, map information service). This request is made through an API, and the results are returned to the server.

[1048] Step 3:

[1049] The server analyzes the data collected from external databases. Specific steps in the analysis include selecting and prioritizing options that best match the user's tastes and preferences. For example, it selects highly rated Japanese restaurants from the collected restaurant information and sorts the list based on distance and budget. Similarly, it selects the best hot spring inns for accommodation.

[1050] Step 4:

[1051] The server generates the optimal travel route based on the analyzed data. The travel route generation takes into consideration the order of the planned tourist spots to be visited, travel time, and the relative locations of accommodations. A specific output might include a route plan such as "visit tourist spots in Tokyo in the morning on the first day, have a Japanese lunch in the afternoon, and check into a hot spring inn in the evening."

[1052] Step 5:

[1053] The generated travel route information is sent to the device and displayed visually. By using a map service to display the generated route on a map, users can check specific places to visit and the route they will travel. They can also customize the route as needed.

[1054] Step 6:

[1055] The server sends the route information to the autonomous vehicle's navigation system. Based on the received route information, the navigation system generates control information to guide the autonomous vehicle to its destination. The autonomous vehicle then travels according to this information. Information about planned visits and places to stay is displayed on the in-vehicle display.

[1056] Step 7:

[1057] After a trip, users enter reviews of the places and services they used into their device. This review information is sent to the server and stored in a database. The server analyzes these reviews and updates the database to improve the accuracy of future travel plan suggestions.

[1058] Through these steps, users can automatically manage complicated travel plans and comfortably check their travel and schedules while traveling.

[1059] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1060] 1. Overall Overview:

[1061] The system of this invention proposes optimal travel plans by combining information about travel destinations and hobbies and preferences entered by the user with an emotion engine that recognizes the user's emotions. This system is realized by a program that obtains travel destination information, restaurant information, and accommodation information from an external database, and analyzes and processes the information according to the user's requests and emotional state.

[1062] 2. Introducing the Emotion Engine:

[1063] The emotion engine is a device that analyzes a user's emotions based on the text, voice, and facial recognition data they input. This emotional data is reflected in the system and influences the selection of travel destinations and activities.

[1064] 3. Accept user input:

[1065] Users input their travel destination, hobbies, preferences, travel itinerary, budget, number of people, and emotional data into the device and press the send button. This information is sent from the device to the server. Emotional data may also be entered in real time, dynamically adjusting the user's experience.

[1066] 4. Data Collection:

[1067] The server sends queries to external databases (restaurant information service, travel accommodation information service, map information service) based on the input travel destination, hobbies, preferences, and emotion data, thereby collecting related travel destination information, restaurant information, and accommodation information.

[1068] 5. Data Analysis:

[1069] The collected data and emotional data are analyzed within the server. The analysis process selects and prioritizes the options that best match the user's hobbies, preferences, and emotional state. For example, if a user likes Japanese food and is currently feeling like relaxing, the system will prioritize Japanese restaurants with a relaxing atmosphere.

[1070] 6. Travel route generation:

[1071] The server then generates an optimal travel route based on the analyzed data. This route generation process takes into consideration the user's travel time, the tourist spots they plan to visit, and the relative locations of their accommodations. Furthermore, based on data from the emotion engine, the server creates a plan that takes into account the user's current emotional state.

[1072] 7. Route display and suggestions:

[1073] The generated travel route is sent to the device and displayed visually. The device uses a map information service to display the travel route in an easy-to-understand manner for the user. The user can check specific visiting spots and travel routes on the map.

[1074] 8. Entering reviews and updating the database:

[1075] After traveling, users input reviews of the places they visited and the services they used into their device. This review information is sent to the server and stored in a collection database. The server analyzes the collected reviews and sentiment data and updates the database to improve the accuracy of future suggestions.

[1076] Specific examples

[1077] As an example, we will explain how the system processes when a user inputs "I want to go to Kyoto," "I like tea ceremony experiences," and "I prefer quiet lodgings."

[1078] 1. Accept user input:

[1079] The user inputs "Kyoto," "tea ceremony experience," "quiet lodging," "three-day trip," and "budget of 150,000 yen" into the device, and also sends emotional data such as "I want to relax."

[1080] 2. Data Collection:

[1081] The server collects information on facilities and tourist spots that correspond to "Kyoto," "tea ceremony experience," and "quiet lodgings" from external databases. For example, it obtains tea room information from a restaurant information service and quiet lodging information from a travel and accommodation information service.

[1082] 3. Data Analysis:

[1083] The server analyzes the collected data and emotional data, sorting the list of facilities offering tea ceremony experiences by rating and quietness, and prioritizing the option that best matches the user's desire to "relax."

[1084] 4. Travel route generation:

[1085] Based on the analyzed data, a route is generated that includes a tea ceremony experience in the morning of the first day, a relaxing tourist spot in the afternoon, and checking into a quiet inn in the evening.

[1086] 5. Route display and suggestions:

[1087] To visually display the generated travel route, the system works with a map information provider and sends display data to the device. The user can view the map, check specific spots to visit, and travel routes, and make adjustments as necessary.

[1088] 6. Enter your reviews and update the database:

[1089] After the trip, the user inputs reviews of the facilities they visited into the terminal and sends them to the server, which analyzes the reviews and emotional feedback and updates the database.

[1090] In this way, the system of the present invention provides optimal travel plans based on the user's individual preferences and emotional state, and continuously improves the service through post-trip feedback.

[1091] The processing flow will be explained below.

[1092] Step 1:

[1093] The user inputs the travel destination, hobbies, preferences, travel schedule, budget, number of people, and emotional data into the terminal, and presses the send button. This information is sent from the terminal to the server.

[1094] Step 2:

[1095] The server receives the data sent by the user and stores it in a database for analysis, including travel destination, hobbies and preferences, travel itinerary, budget, number of people, and emotional data.

[1096] Step 3:

[1097] The server sends queries to external databases (restaurant information service, travel accommodation information service, map information service) based on the entered travel destination, hobbies, preferences, and emotion data, thereby collecting related travel destination information, restaurant information, and accommodation information.

[1098] Step 4:

[1099] The server receives the JSON data returned from the external database, structures it, and begins parsing it. The collected data is categorized into travel destinations, restaurants, accommodations, etc.

[1100] Step 5:

[1101] The server analyzes the data and filters it to select the options that best match the user's tastes, preferences, and emotional state. Prioritization is based on parameters such as rating points, distance, price, and emotional data.

[1102] Step 6:

[1103] The server generates an optimal travel route based on the selected options. The generated route takes into account the user's travel time, the location of tourist attractions, and the location of accommodations. Furthermore, data from the emotion engine is used to create a plan that takes into account the user's current emotional state.

[1104] Step 7:

[1105] In order to visually display the generated travel route, the server cooperates with a map information provider (e.g., Yahoo! Maps) to prepare data for visual display.

[1106] Step 8:

[1107] The device receives the display data from the server and visually displays the travel route on a map for the user. The user can check specific spots to visit and travel routes on the map and customize them as needed.

[1108] Step 9:

[1109] Users can input emotional data in real time while traveling, and the system will reflect their current emotional state. For example, if they feel "tired" at a certain tourist spot, they can input that information.

[1110] Step 10:

[1111] The server analyzes the emotion data received in real time and dynamically adjusts the current travel route. For example, if the user feels tired, the next destination will be changed to a relaxation facility.

[1112] Step 11:

[1113] After traveling, the user uses the terminal to input reviews of the places visited and the services used, and transmits the reviews to the server.

[1114] Step 12:

[1115] The server receives and analyzes reviews sent by users. The review information is stored in a database and is reflected in subsequent travel plan generation.

[1116] Step 13:

[1117] The server updates the database based on the collected reviews and emotion information, improving the accuracy of future suggestions, thereby generating travel plans that better suit the user's preferences and emotional state.

[1118] Through this series of steps, users can obtain optimal travel plans based on their individual preferences and emotional state, and encourage the system to continuously improve through feedback during and after the trip.

[1119] Example 2

[1120] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1121] Conventional travel plan generation systems guide users to travel routes based on their specified destinations, hobbies, and preferences. However, these systems do not take into account the user's emotional state, which can result in disappointing travel experiences. Furthermore, there is a lack of effective ways to utilize post-trip feedback, limiting the accuracy of suggestions for future trips. To address these issues, a system is needed that incorporates the user's emotional data and proposes optimal travel routes accordingly.

[1122] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1123] In this invention, the server includes means for inputting emotion data in addition to travel destinations and hobbies / preferences specified by the user, means for acquiring related travel destination information, restaurant information, and accommodation information from an external database, means for analyzing the acquired information and emotion data and generating a travel route optimal for the user's preferences and emotions, means for visually displaying the generated travel route on a map, and means for collecting post-trip reviews from users and updating the database, thereby enabling the server to propose an optimal travel route tailored to the user's emotional state.

[1124] "User" refers to an individual or organization that uses the system to create a travel plan.

[1125] "Terminal" refers to an electronic device used by a user, such as a computer, smartphone, or tablet.

[1126] "Server" refers to a central computer that receives input data from users and processes it to generate travel plans.

[1127] "Destination Information" refers to data about areas and cities that a user plans to visit.

[1128] "Hobbies and Preference Information" refers to information related to a user's preferences and interests.

[1129] "Emotion data" refers to data that indicates the user's current emotional state, and includes text, voice, facial recognition data, and the like.

[1130] "External database" refers to an external data storage system that provides restaurant information, travel and accommodation information, map information, etc.

[1131] A "travel route" refers to a plan showing the order of places and facilities that a user plans to visit during a trip.

[1132] "Analysis" refers to the process of deriving optimal options based on the user's preferences and emotional state using collected data.

[1133] "Review" refers to feedback information provided by a user after a trip.

[1134] "Map Display" refers to a display of data that allows a user to visually see their travel route.

[1135] MODE FOR CARRYING OUT THE INVENTION

[1136] The present invention is a system that analyzes information acquired from an external database using travel destinations, hobbies, preferences, and emotion data entered by the user, and proposes optimal travel routes to the user. Detailed embodiments for carrying out the present invention are described below.

[1137] First, this system consists of a terminal used by the user and a server that processes information. The terminal is an electronic device such as a personal computer, smartphone, or tablet, and the user uses it to input travel destinations, hobbies, preferences, and emotional data.

[1138] When a user inputs travel destination, hobbies and preferences, travel itinerary, budget, number of people, and emotional data into the device and presses the send button, this information is sent from the device to the server, which then uses an emotion engine (such as a natural language processing model or facial recognition software) to analyze the user's emotional state from the input data.

[1139] The emotion engine analyzes user input data (text, voice, images, etc.) and generates emotion data, which is an important element in customizing the user's travel plan.

[1140] The server acquires relevant travel destination information, restaurant information, and accommodation information from external databases (e.g., restaurant information services, travel and accommodation information services, map information services). The acquired data is analyzed based on the user's hobbies, preferences, and emotional data, and is used to generate the optimal travel route.

[1141] This analysis process prioritizes the options that best match the user's hobbies, preferences, and emotional state, and generates a travel route. For example, if a user likes Japanese food and has the emotion of wanting to relax, Japanese restaurants with a relaxing atmosphere will be prioritized.

[1142] The server then generates an optimal travel route based on the analysis results. This route generation process comprehensively considers the user's travel time, the tourist spots they plan to visit, and the relative locations of their accommodations, and also creates a plan that takes into account the user's current emotional state based on their emotional data.

[1143] The generated travel route is sent to the device and displayed visually in conjunction with a map information service. The user can check specific spots to visit and travel routes on the map and make adjustments as necessary.

[1144] Finally, after their trip, users enter reviews of the places they visited and the services they used into their device. This review information is sent to the server, where it is collected, analyzed, and updated to update the database. The server analyzes the collected reviews and sentiment data and updates the database to improve the accuracy of future suggestions.

[1145] Specific examples

[1146] For example, if the user inputs "I want to go to Kyoto," "I like to experience the tea ceremony," and "I prefer quiet lodgings," the system will process as follows:

[1147] 1. The user inputs "Kyoto," "tea ceremony experience," "quiet lodging," "three-day trip," and "budget of 150,000 yen" into the device. The user also sends emotional data such as "I want to relax."

[1148] 2. The server collects information related to "Kyoto," "tea ceremony experience," and "quiet lodging" from an external database.

[1149] 3. The server analyzes the collected information and emotion data to generate an optimal travel route, for example, a plan for the first day that includes a tea ceremony experience in the morning, a relaxing sightseeing spot in the afternoon, and checking into a quiet inn in the evening.

[1150] 4. The generated travel route is sent to the device and visually displayed on a map.

[1151] 5. After the trip, the user enters reviews of the facilities they visited into the terminal, and the server updates the database based on these reviews.

[1152] In this way, the system of the present invention provides optimal travel plans based on the user's preferences and emotions, and continuously improves the service through post-trip feedback.

[1153] Prompt Sentence Examples

[1154] The user enters the following information into the system:

[1155] "I want to go to Kyoto"

[1156] "I like the tea ceremony experience"

[1157] "I prefer a quiet place to stay"

[1158] "Three-day trip"

[1159] "Budget: 150,000 yen"

[1160] "I want to relax"

[1161] This allows the system to provide optimal travel plans.

[1162] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1163] Specific processing flow of the system

[1164] Step 1: Accepting user input

[1165] Description: The user enters travel destination, hobbies and preferences, travel schedule, budget, number of people, and emotional data into the terminal, and presses the send button.

[1166] Input: "Travel destination", "Hobbies and preferences", "Travel schedule", "Budget", "Number of people", "Emotional data"

[1167] Operation:

[1168] The user enters information such as "Kyoto," "tea ceremony experience," "quiet lodging," "3 days," "150,000 yen," and "want to relax" into the device's input screen.

[1169] When the send button is pressed, the terminal composes this information into a data packet and sends it to the server.

[1170] Output: The user's input data is sent to the server.

[1171] Step 2: Analyze the emotion data

[1172] Description: The server analyzes the emotion data from the received data using the emotion engine.

[1173] Input: User input data (especially "emotion data")

[1174] Operation:

[1175] The server uses an emotion engine (such as a natural language processing model or facial recognition software) to analyze the user's emotions from text and voice input data.

[1176] The emotion engine determines emotional states such as "I want to relax."

[1177] Output: User's emotional state data

[1178] Step 3: Collect data

[1179] Description: Based on the user's input data and emotional state, the server retrieves relevant travel destination information, restaurant information, and accommodation information from an external database.

[1180] Input: User input data, emotional state data

[1181] Operation:

[1182] The server sends a query to each external database (restaurant information service, travel and accommodation information service, map information service).

[1183] This allows the system to obtain information on facilities and tourist spots that correspond to, for example, "Kyoto," "tea ceremony experience," and "quiet lodging."

[1184] The server sends an SQL query to the external database, such as:

[1185] SELECT FROM Restaurants WHERE Category='Tea Ceremony' AND Location='Kyoto';

[1186] SELECT FROM Hotels WHERE Type='Quiet' AND Location='Kyoto';

[1187] Output: Collected travel destination information, restaurant information, and accommodation information

[1188] Step 4: Analyze the data

[1189] Description: The server selects the options that best suit the user's preferences and emotions based on the collected data and emotional data.

[1190] Input: Collected travel destination information, restaurant information, accommodation information, and user emotional state data

[1191] Operation:

[1192] The server compares the collected data with the user's emotional data and assigns priorities.

[1193] Prioritize the emotional data of "wanting to relax" and extract the optimal option that suits the user.

[1194] The server runs the following algorithm:

[1195] Sort(Restaurants) By Rating DESC, Quietness DESC;

[1196] Sort(Hotels) By Quietness DESC, Rating DESC;

[1197] Output: Prioritized travel destination information and accommodation information

[1198] Step 5: Generate travel routes

[1199] Description: The server generates the optimal travel route based on the analysis results.

[1200] Input: Prioritized travel destination information and accommodation information

[1201] Operation:

[1202] For example, the server will create a plan for the first day that includes a tea ceremony experience in the morning, a relaxing tourist spot in the afternoon, and checking into a quiet inn in the evening.

[1203] Specifically, it generates the following schedule:

[1204] Day 1 Morning: Tea Ceremony at Kiyomizu Temple

[1205] Day 1 Afternoon: Relax at Maruyama Park

[1206] Day 1 Evening: Check-in at Ryokan [Quiet Hotel]

[1207] Output: Generated travel route

[1208] Step 6: View and suggest routes

[1209] Description: Send the generated travel route to the device and display it visually.

[1210] Input: Generated travel route

[1211] Operation:

[1212] The server converts the generated route into JSON format data and sends it to the terminal.

[1213] The device analyzes this data and displays it visually using a map information service.

[1214] Users can check their travel route on the device screen and zoom in and out on the map to view more detailed information.

[1215] Output: A visual representation of the travel route

[1216] Step 7: Enter reviews and update the database

[1217] Description: Users enter reviews after their trips, and the server updates the database accordingly.

[1218] Enter: Post-trip review

[1219] Operation:

[1220] After the trip, the user inputs reviews of the facilities and accommodations they visited on the application on their terminal.

[1221] An example review would be, "The tea ceremony experience was very relaxing. The accommodation was quiet and comfortable."

[1222] The terminal sends this information to the server.

[1223] The server analyzes the received reviews and updates the rating data of the relevant facilities and services.

[1224] Output: Updated database

[1225] The above is a detailed description of the specific processing flow of the system and each processing step.

[1226] (Application example 2)

[1227] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1228] Conventional travel plan suggestion systems only make suggestions based on the user's static preferences and specified conditions, making it difficult to respond to the user's emotional state or real-time psychological needs. Furthermore, they lacked a mechanism for utilizing post-trip feedback information to improve the accuracy of future suggestions. This made it difficult to provide highly accurate suggestions that matched the user's psychological state.

[1229] The specification processing by the specification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes: means for inputting data based on the travel destination and hobbies and preferences specified by the user; means for acquiring related travel destination information, restaurant information, and accommodation information from an external database; means for analyzing the acquired information and generating a travel route optimal for the user's preferences; means for visually displaying the generated travel route on a map; means for collecting post-travel reviews from the user and updating the database; and means for analyzing the user's emotional state and suggesting optimal dining experiences and travel plans based on the results. This makes it possible to propose highly accurate travel plans that take into account the user's real-time emotional state and psychological needs.

[1230] "Means for inputting data based on the travel destination and hobbies and preferences specified by the user" refers to an interface that allows the user to input information such as travel destination, hobbies and preferences, budget, and schedule.

[1231] "Means for acquiring related travel destination information, restaurant information, and accommodation information from external databases" means a function that automatically acquires information about travel destinations, restaurants, and accommodation information from external information providing services.

[1232] "Means for analyzing the acquired information and generating a travel route that best suits the user's preferences" refers to an algorithm or system that generates an optimal travel route that matches the user's preferences and conditions based on the acquired information.

[1233] The "means for visually displaying the generated travel route on a map" refers to a display device or software for displaying the generated travel route on a map and making it visible to the user.

[1234] The "means for collecting post-trip reviews from users and updating the database" refers to a function that collects feedback from users after their trip and reflects it in the database to improve the accuracy of future suggestions.

[1235] "Means for analyzing the user's emotional state and proposing optimal dining experiences and travel plans based on this" refers to an emotion analysis engine or software that analyzes user input and real-time emotional data and proposes dining experiences and travel plans that match that emotional state.

[1236] A specific system for implementing the present invention is configured using the following hardware and software.

[1237] System hardware and software configuration

[1238] Hardware: Smartphone (used as a user interface), cloud server (data analysis, database management)

[1239] software:

[1240] Smartphone app: An interface where users input travel destinations, preferences, and emotional states

[1241] Sentiment analysis engine: Software for analyzing emotion data (e.g., Python-based EmotionAPI)

[1242] Database system: A relational database such as PostgreSQL

[1243] External API: Google Maps API (provides map information), restaurant information API, accommodation information API, etc.

[1244] System Operation

[1245] 1. Accepting user input

[1246] Users use a smartphone app to input information such as travel destination, hobbies and preferences, travel schedule, budget, number of people, emotional state, etc. This input information is sent to a cloud server.

[1247] 2. Data collection

[1248] The cloud server sends queries to external databases (such as restaurant information services, travel and accommodation information services, and map information services) to collect related travel destination information, restaurant information, and accommodation information.

[1249] 3. Data Analysis

[1250] The data and emotional data collected on the cloud server are analyzed. The emotion analysis engine analyzes emotions based on the user's text input, voice data, and facial recognition data. Based on the results of this analysis, the option that best matches the user's emotional state and preferences is selected. For example, if a user likes "Japanese food" and is currently feeling like "relaxing," relaxing Japanese restaurants will be prioritized.

[1251] 4. Travel route generation

[1252] Based on the analyzed data, the cloud server generates an optimal travel route, taking into consideration the user's travel time, planned tourist spots, the location of accommodations, and the user's current emotional state.

[1253] 5. Route display

[1254] The generated travel route is sent to a smartphone app and displayed visually using a map information service, allowing users to check specific places to visit and travel routes on the map.

[1255] 6. Enter reviews and update the database

[1256] After a trip, users enter reviews of the places they visited and the services they used into a smartphone app and send them to a cloud server. The cloud server analyzes the reviews and emotional feedback and updates the database to improve the accuracy of suggestions for future trips.

[1257] Specific examples

[1258] For example, if the user types:

[1259] Travel destination: Kyoto

[1260] Hobbies and interests: Tea ceremony experience

[1261] Accommodation: Quiet Inn

[1262] Trip duration: 3 days

[1263] Budget: 150,000 yen

[1264] Emotional state: I want to relax

[1265] Prompt Sentence Examples

[1266] Enter your travel destination: Kyoto

[1267] Please enter your hobbies and interests: Tea ceremony experience

[1268] Please enter your accommodation preference: Quiet accommodation

[1269] Enter your travel dates: 3 days

[1270] Please enter your budget: 150,000 yen

[1271] Please describe your current emotional state (relaxed / enjoyed / adventurous): Relaxed

[1272] Based on this input information, the cloud server retrieves related information from an external database and proposes the optimal travel plan to the user based on the results of sentiment analysis.The user then travels based on this and enters a review after the trip, which improves the accuracy of the proposals next time.

[1273] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1274] Step 1:

[1275] The user uses a smartphone to input information such as travel destination, hobbies and preferences, travel itinerary, budget, number of people, and emotional state. The device then sends this data to a cloud server. Input data includes "travel destination: Kyoto," "hobbies and preferences: tea ceremony experience," and "budget: 150,000 yen." The server receives this information and stores it in a database.

[1276] Step 2:

[1277] The server sends queries to external information services (restaurant information services, travel accommodation information services, map information services, etc.) to obtain relevant travel destination information, restaurant information, and accommodation information. The obtained data includes information on places in Kyoto where you can experience tea ceremony and quiet accommodations. The server stores this information in a database for analysis.

[1278] Step 3:

[1279] On the server, an emotion analysis engine analyzes the user's emotional data. For example, if the user inputs "I want to relax," the emotion analysis engine recognizes the emotional state of "relaxed." The input data also includes the user's text data, which is analyzed to extract the emotional state. The results of this analysis are reflected in the generation of the travel plan.

[1280] Step 4:

[1281] The server runs an algorithm that generates an optimal travel route based on the collected information and analyzed emotional data. The algorithm prioritizes options that best match the user's preferences, taking into consideration factors such as travel time, planned tourist spots, and the location of accommodations. The generated travel route takes into account the user's emotional state of "wanting to relax."

[1282] Step 5:

[1283] The server sends the generated travel route to the smartphone device. The device receives this information and, in cooperation with the map information provider, visually displays the travel route on a map. The user can check specific visiting spots and travel routes on the smartphone. At this stage, the user can also adjust the route.

[1284] Step 6:

[1285] After the trip, users use their smartphones to write reviews of the places they visited and the services they used. These reviews include detailed feedback, such as, "The tea ceremony experience was very relaxing." The smartphones then send this review information to a cloud server.

[1286] Step 7:

[1287] The server analyzes the reviews and sentiment feedback submitted by users, stores them in a database, and updates it. The analysis results are stored to be reflected in future travel plan suggestions. This data is used to improve the accuracy of the algorithm.

[1288] Through these steps, highly accurate travel plan suggestions that match the user's emotional state and preferences are realized.

[1289] 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.

[1290] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1291] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1292] [Fourth embodiment]

[1293] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1294] 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.

[1295] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the 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).

[1296] 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.

[1297] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1298] 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 surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1299] 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. 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.

[1300] The control object 443 includes a display device, LEDs in the eyes, and motors for driving 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.

[1301] 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.

[1302] 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 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.

[1303] 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.

[1304] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1305] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1306] 1. Overall Overview:

[1307] The system of this invention proposes optimal travel plans based on travel destination and hobby / preference information entered by the user. This system is realized by a program that obtains travel destination information, restaurant information, and accommodation information from an external database and analyzes and processes the information according to the user's request.

[1308] 2. Accept user input:

[1309] The user inputs details about the trip (travel destination, hobbies, preferences, number of people, etc.) into the terminal. The input information is sent to the server.

[1310] 3. Data Collection:

[1311] The server sends queries to external databases (e.g., restaurant information service, travel accommodation information service, map information service) based on the input travel destination and hobbies / preferences, thereby collecting related travel destination information, restaurant information, and accommodation information.

[1312] 4. Data Analysis:

[1313] The collected data is analyzed internally on the server. The analysis process selects and prioritizes the options that best match the user's hobbies and preferences. For example, if the user likes Japanese food, Japanese restaurants will be prioritized from the collected restaurant information.

[1314] 5. Travel route generation:

[1315] The server then generates an optimal travel route based on the analyzed data. This route generation process takes into consideration the user's travel time, the tourist spots they plan to visit, and the relative locations of their accommodations.

[1316] 6. Route display and suggestions:

[1317] The generated travel route is sent to the device and displayed visually. The device uses map services such as Yahoo! Maps to display the travel route in an easy-to-understand manner for the user. The user can check specific visiting spots and travel routes on the map.

[1318] 7. Enter your reviews and update the database:

[1319] After traveling, users input reviews of the places they visited and the services they used into their devices. This review information is sent to the server and stored in a collection database. The server analyzes the collected reviews and updates the database to improve the accuracy of future suggestions.

[1320] Specific examples

[1321] As an example, we will explain how the system processes when a user inputs "I want to go to Tokyo," "I like Japanese restaurants," and "I want to stay at a hot spring inn."

[1322] 1. Accept user input:

[1323] The user inputs "Tokyo," "Japanese cuisine," "hot spring inn," "three-day trip," and "budget of 100,000 yen" into the terminal. The input information is sent to the server.

[1324] 2. Data Collection:

[1325] The server collects restaurant information, accommodation information, and tourist spot information that correspond to "Tokyo," "Japanese cuisine," and "hot spring inns" from external databases. For example, it obtains Japanese restaurant information from PayPay Gourmet and hot spring inn information from Yahoo! Travel.

[1326] 3. Data Analysis:

[1327] The server analyzes the collected data and prioritizes the options that best match the user's preferences. It sorts the list of Japanese restaurants by food rating and distance, and selects the best restaurant that fits within the user's budget.

[1328] 4. Travel route generation:

[1329] Based on the analyzed data, a route is generated that includes visiting tourist spots in Tokyo in the morning on the first day, a Japanese lunch in the afternoon, and checking into a hot spring inn in the evening.

[1330] 5. Route display and suggestions:

[1331] The generated travel route is visually displayed on Yahoo! Maps and suggested to the user. The user can check specific places to visit and travel routes on the map and customize them as needed.

[1332] 6. Enter your reviews and update the database:

[1333] After a trip, users input reviews of the places they visited into their device and send them to the server, which analyzes the reviews and updates the database to improve the accuracy of future suggestions.

[1334] In this way, the system of the present invention is designed to enable users to easily obtain optimal travel plans and continuously improve the service through post-trip reviews.

[1335] The processing flow will be explained below.

[1336] Step 1:

[1337] The user enters detailed information such as the travel destination, hobbies, preferences, travel schedule, budget, number of people, etc. into the terminal and presses the send button. This information is sent from the terminal to the server.

[1338] Step 2:

[1339] The server receives the data sent by the user and stores it in a database for analysis, including information such as travel destination, hobbies and preferences, travel schedule, budget, and number of people.

[1340] Step 3:

[1341] The server sends queries to external databases (restaurant information service, travel accommodation information service, map information service) based on the entered travel destination and hobbies / preferences, thereby collecting related travel destination information, restaurant information, and accommodation information.

[1342] Step 4:

[1343] The server receives the JSON data returned from the external database, structures it, and begins parsing it. The collected data is categorized into travel destinations, restaurants, accommodations, etc.

[1344] Step 5:

[1345] The server analyzes the data and filters it to select the options that best suit the user's tastes and preferences, prioritizing them based on parameters such as rating points, distance, and price.

[1346] Step 6:

[1347] The server generates an optimal travel route based on the selected options. The generated route takes into account the user's travel time, the location of tourist attractions, and the location of accommodations.

[1348] Step 7:

[1349] In order to visually display the generated travel route, the server cooperates with a map information provider (e.g., Yahoo! Maps) to prepare data for visual display.

[1350] Step 8:

[1351] The device receives the display data from the server and visually displays the travel route on a map for the user. The user can check specific spots to visit and travel routes on the map and customize them as needed.

[1352] Step 9:

[1353] After traveling, the user uses the terminal to input reviews of the places visited and the services used, and transmits the reviews to the server.

[1354] Step 10:

[1355] The server receives and analyzes reviews sent by users. The review information is stored in a database and is reflected in subsequent travel plan generation.

[1356] Step 11:

[1357] The server updates the database based on the collected reviews and improves the accuracy of future suggestions, resulting in travel plans that are even more suited to the user's preferences.

[1358] Through this series of steps, users can obtain optimal travel plans based on their individual preferences and provide feedback to the system through post-trip reviews.

[1359] Example 1

[1360] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1361] Conventional travel plan suggestion systems have difficulty generating optimal travel routes that meet the user's individual hobbies, preferences, and detailed requirements. Furthermore, there is a lack of a mechanism for efficiently collecting post-trip reviews and reflecting them in future suggestions, which reduces the accuracy of the suggestions. There is a need to solve these issues and provide users with more accurate, personalized travel plans.

[1362] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1363] In this invention, the server includes a means for inputting data based on the user's designated travel destination and hobbies and preferences, a means for transmitting the input data to the server, a means for acquiring related travel destination information, restaurant information, and accommodation information from an external database, a means for analyzing the acquired information and generating a travel route that best suits the user's preferences, a means for visually displaying the generated travel route on a map, and a means for collecting post-trip reviews from users and updating the database, thereby enabling the provision of highly customized travel plans that meet the user's individual requests and continuous service improvement based on post-trip feedback.

[1364] "Means for inputting data based on user-specified travel destinations and hobbies and preferences" refers to devices or interfaces that allow users to input information about their travel destinations and interests.

[1365] "Means for transmitting input data to a server" refers to a communication interface or protocol for transmitting information input by a user to a server.

[1366] "Means of obtaining relevant travel destination information, restaurant information, and accommodation information from external databases" refers to API calls and database access functions to obtain necessary data from external sources.

[1367] "Means of analyzing acquired information and generating travel routes that best suit the user's preferences" refers to algorithms and analysis programs that use collected data to create travel plans that best suit the information entered by the user.

[1368] "Means for visually displaying the generated travel route on a map" refers to a user interface or rendering function for displaying the generated travel route using a map service.

[1369] "Means for collecting post-trip reviews from users and updating the database" refers to the input interface and data processing functions for collecting feedback entered by users after their trip and reflecting it in the database.

[1370] This invention relates to a system that proposes optimal travel plans based on travel destinations and hobby / preference information entered by a user. A specific embodiment of this system is described below.

[1371] Accepting user input

[1372] Users use devices such as smartphones or PCs to enter detailed information such as travel destination, hobbies and preferences, travel schedule, budget, and number of people. This information is entered using a dedicated application or an input form on a website. For example, users enter information such as "Tokyo," "Japanese cuisine," "hot spring inn," "three-day trip," and "budget of 100,000 yen."

[1373] Data submission and collection

[1374] The entered data is sent from the device to a server. Cloud services and APIs are used via the internet for transmission. The server receives this information and sends queries to external databases to collect related information. Specifically, it uses restaurant information services, travel and accommodation information services, map information services, etc. For example, it obtains Japanese restaurant information from a restaurant information service and collects hot spring inn information from a travel and accommodation information service.

[1375] Data analysis

[1376] The server uses an analysis program to analyze the collected information. This analysis process selects and prioritizes the options that best match the user's tastes and preferences. For example, the Pandas library is used to organize the data, and sorting and filtering is done in Python. A list of Japanese restaurants can be sorted by food rating and distance to select the best restaurant within the user's budget.

[1377] Generate travel routes

[1378] Based on the analysis results, the server generates the optimal travel route. This route generation process uses a route generation algorithm. An efficient travel route is calculated taking into account the user's travel time, the tourist spots to be visited, and the relative locations of accommodations. As an example, on the first day, a route is created that includes visiting tourist spots in Tokyo in the morning, having a Japanese lunch in the afternoon, and checking into a hot spring inn in the evening.

[1379] Route display and suggestions

[1380] The generated travel route is sent from the server to the device. The device visually displays the travel route using a map service. Specifically, the route is drawn on a map using the Yahoo! Maps API, etc., making it easy for the user to check. The user can then check this travel plan on the map and customize it as needed.

[1381] Enter reviews and update the database

[1382] After a trip, users input reviews of the places they visited and the services they used into their device. These reviews are sent from the device to a server, where they are collected and analyzed. The reviews are analyzed using natural language processing technology, and the results are reflected in the database. This allows the system to improve the accuracy of its suggestions for future trips.

[1383] Examples of specific examples and prompts

[1384] For example, if a user inputs "I want to go to Tokyo," "I like Japanese restaurants," and "I want to stay at a hot spring inn," the system will process it as follows:

[1385] The user inputs "Tokyo," "Japanese cuisine," "hot spring inn," "three-day trip," and "budget of 100,000 yen" into the device and presses the send button. The server collects and analyzes related information from an external database and generates an optimal travel route: sightseeing spots in Tokyo in the morning of the first day, Japanese lunch in the afternoon, and check-in at the hot spring inn in the evening. The device visually displays this travel route on a map and suggests it to the user. After the trip, the user enters a review, which the server collects and updates the database.

[1386] An example of input to the generative AI model is as follows:

[1387] "Please create a three-day itinerary for Tokyo. I enjoy Japanese restaurants and would like to stay at a hot spring inn. My budget is 100,000 yen."

[1388] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1389] Step 1:

[1390] The user uses a device to input detailed information such as travel destination, hobbies and preferences, travel schedule, budget, and number of people. For example, they input "Tokyo," "Japanese cuisine," "hot spring inn," "3-day trip," and "budget 100,000 yen." The input data is sent from the device to the server by clicking the send button or touching the screen.

[1391] Input: User's travel-related information (travel destination, hobbies, preferences, schedule, budget, number of people)

[1392] Output: User input sent to the server

[1393] Step 2:

[1394] The server receives user-entered information sent from the device. The received data is saved in JSON format or similar and recorded in a database. The server then generates a query to an external database based on that information.

[1395] Input: User input information sent from the device

[1396] Output: External database query

[1397] Step 3:

[1398] The server uses the generated query to send queries to external databases (restaurant information service, travel and accommodation information service, map information service, etc.) to obtain related travel destination information, restaurant information, and accommodation information. The data returned from the external database is stored on the server.

[1399] Input: External database query

[1400] Output: Travel destination information, restaurant information, and accommodation information obtained from external databases

[1401] Step 4:

[1402] The server analyzes the collected data, using Python and the Pandas library to organize the data and select the options that best fit the user's preferences. For example, it sorts a list of Japanese restaurants by rating points and distance to select the best restaurant within the user's budget.

[1403] Input: Travel destination information, restaurant information, accommodation information obtained from external databases

[1404] Output: Parsed data (prioritized restaurants and accommodations)

[1405] Step 5:

[1406] The server generates an optimal travel route based on the analyzed data. Using a route generation algorithm, it calculates an efficient travel route by comprehensively considering the user's travel time, planned tourist spots, and the relative locations of accommodations. For example, it creates a route that includes visiting tourist spots in Tokyo in the morning on the first day, a Japanese lunch in the afternoon, and checking into a hot spring inn in the evening.

[1407] Input: Parsed data (prioritized restaurants and accommodations)

[1408] Output: Optimal travel route (including visit order and mode of transportation)

[1409] Step 6:

[1410] The generated travel route is sent from the server to the device, which then visually displays the travel route using the Yahoo! Maps API. Users can check specific places to visit and travel routes on the map and customize them as needed.

[1411] Input: Optimal travel route (including visit order and mode of transportation)

[1412] Output: Visual representation of the travel route (map on the device screen)

[1413] Step 7:

[1414] After the trip, the user uses the device to enter reviews of the places visited and the services used. The reviews include specific ratings and comments. The entered reviews are sent from the device to the server.

[1415] Input: User review information (ratings, comments)

[1416] Output: Review information sent to the server

[1417] Step 8:

[1418] The server receives the review information sent by the user and analyzes it using natural language processing technology. The analysis results are recorded in a database and used to improve the accuracy of future suggestions. The server updates the database based on the analysis results, improving the accuracy of travel plan suggestions.

[1419] Input: Review information sent to the server

[1420] Output: Updated database (analysis results based on review)

[1421] (Application example 1)

[1422] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1423] Conventional travel plan suggestion systems can generate optimal travel routes based on a user's hobbies and preferences and display them on a map, but they lack functionality to support actual travel. This forces users to individually create complex travel plans, which increases fatigue and stress during travel. Furthermore, there are limited ways to check information about planned visits and accommodations in real time during a trip, which can potentially degrade the quality of the travel experience.

[1424] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1425] In this invention, the server includes: means for inputting data based on a user's designated travel destination and hobbies and preferences; means for acquiring related travel destination information, restaurant information, and accommodation information from an external database; means for analyzing the acquired information and generating a travel route optimal for the user's preferences; means for visually displaying the generated travel route on a map; means for collecting post-travel reviews from users and updating the database; means for transmitting optimal travel route information based on the user's preferences to a navigation system of the autonomous vehicle; means for controlling the autonomous vehicle to execute the travel route; and means for displaying information on planned visits and stays during the trip on the display of the autonomous vehicle and the user's mobile information terminal. This enables users to automatically manage complicated travel plans and check their travel and schedule in real time, resulting in a comfortable and efficient travel experience.

[1426] "Travel destination information" is detailed information about areas and tourist spots that the user wishes to visit.

[1427] "Hobbies and Preferences" is information about the activities and categories of interest that a user has.

[1428] "Means of acquisition" refers to the method or process for acquiring the required information from the external database.

[1429] An "external database" is an external information source that provides restaurant information, accommodation information, tourist spot information, and the like.

[1430] "Means of analysis" refers to the method of analyzing the acquired data based on the user's hobbies and preferences to find the optimal option.

[1431] The "travel route" refers to a travel route including the user's planned visits and stays.

[1432] The "means for visually displaying on a map" refers to a method for visually displaying the generated travel route in a manner that is easy for the user to understand.

[1433] A "review" is an evaluation or comment made by a user on the places they visited or the services they used after their trip.

[1434] "Means for updating the database" refers to the method by which new information and user reviews are added to the existing database to keep the information up to date.

[1435] A "navigation system" is a system that guides an autonomous vehicle to its destination by following a specified route.

[1436] An "autonomous vehicle" is a vehicle that drives itself automatically without requiring user operation.

[1437] A "display" is a display device that allows a user to visually confirm information.

[1438] A "portable information terminal" is an information communication device that can be carried by a user, and includes smartphones, tablets, and the like.

[1439] "Optimal travel route information" is information that takes into maximum consideration the user's hobbies and preferences, optimizing the order in which to visit travel destinations and the means of transportation.

[1440] The "means for executing a travel route" refers to a method for controlling an autonomous vehicle based on the generated travel route and for actually traveling.

[1441] 1. Overall Overview:

[1442] This invention is a system that proposes optimal travel plans based on travel destination and hobby / preference information entered by the user. This system is realized by a program that acquires travel destination information, restaurant information, and accommodation information from an external database and analyzes and processes them according to the user's request. It also executes the generated travel route using an autonomous vehicle and supports travel during the trip.

[1443] 2. Accept user input:

[1444] The user inputs details about the trip (travel destination, hobbies, preferences, number of people, etc.) into the terminal. The input information is sent to the server.

[1445] 3. Data Collection:

[1446] The server sends queries to external databases (restaurant information service, travel accommodation information service, map information service) based on the input travel destination and hobbies / preferences, thereby collecting related travel destination information, restaurant information, and accommodation information.

[1447] 4. Data Analysis:

[1448] The collected data is analyzed internally on the server. The analysis process selects and prioritizes the options that best match the user's tastes and preferences. For example, if a user prefers "Japanese food," Japanese restaurants will be prioritized from the collected restaurant information.

[1449] 5. Travel route generation:

[1450] The server then generates an optimal travel route based on the analyzed data. This route generation process takes into consideration the user's travel time, the tourist spots they plan to visit, and the relative locations of their accommodations.

[1451] 6. Route display and suggestions:

[1452] The generated travel route is sent to the device and displayed visually. The device uses a map service to display the travel route in an easy-to-understand manner for the user. The user can check specific visiting spots and travel routes on the map.

[1453] 7. Enter your reviews and update the database:

[1454] After traveling, users input reviews of the places they visited and the services they used into their devices. This review information is sent to the server and stored in a collection database. The server analyzes the collected reviews and updates the database to improve the accuracy of future suggestions.

[1455] 8. Utilizing autonomous vehicles:

[1456] The server sends optimal travel route information based on the user's preferences to the autonomous vehicle's navigation system. The autonomous vehicle uses this information to execute the travel route and guide the user to their destination. Furthermore, information about planned visits and places of stay during the trip is displayed on the autonomous vehicle's display and the user's mobile information device.

[1457] As a concrete example, we will explain the system's processing when a user inputs "I want to go to Tokyo," "I like Japanese restaurants," and "I want to stay at a hot spring inn." The user inputs "Tokyo," "Japanese food," "hot spring inn," "3-day trip," and "budget 100,000 yen" into their terminal. The input information is sent to the server. The server collects restaurant information, accommodation information, and tourist spot information corresponding to "Tokyo," "Japanese food," and "hot spring inn" from an external database. For example, it obtains Japanese restaurant information from a restaurant information service and hot spring inn information from a travel and accommodation information service. The server analyzes the collected data and selects the option that best matches the user's preferences. Based on the analyzed data, a route is generated for the first day: sightseeing spots in Tokyo in the morning, a Japanese lunch in the afternoon, and check-in at the hot spring inn in the evening. This route information is sent to the autonomous vehicle, and the travel route is executed.

[1458] Example prompt sentence:

[1459] Travel destination: "Tokyo"

[1460] Hobbies and interests: {"food": "Japanese food", "stay": "hot spring inn"}

[1461] Budget: 100,000 yen

[1462] Trip Itinerary: "3 days"

[1463] Suggest travel routes and navigate with your self-driving vehicle.

[1464] Using this prompt, the autonomous vehicle can actually travel based on the trip plan, making the travel experience more comfortable.

[1465] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1466] Step 1:

[1467] The user uses a device to input detailed information about the trip, such as the destination, hobbies and preferences, travel schedule, budget, and number of people. This information is formatted in JSON format and sent to the server. Specific data input may include, for example, "Tokyo," "Japanese cuisine," "hot spring inn," "three-day trip," and "budget of 100,000 yen."

[1468] Step 2:

[1469] The server sends queries to external databases based on the received data. Specifically, it requests information related to travel destinations and hobbies and preferences from each external database (restaurant information service, travel and accommodation information service, map information service). This request is made through an API, and the results are returned to the server.

[1470] Step 3:

[1471] The server analyzes the data collected from external databases. Specific steps in the analysis include selecting and prioritizing options that best match the user's tastes and preferences. For example, it selects highly rated Japanese restaurants from the collected restaurant information and sorts the list based on distance and budget. Similarly, it selects the best hot spring inns for accommodation.

[1472] Step 4:

[1473] The server generates the optimal travel route based on the analyzed data. The travel route generation takes into consideration the order of the planned tourist spots to be visited, travel time, and the relative locations of accommodations. A specific output might include a route plan such as "visit tourist spots in Tokyo in the morning on the first day, have a Japanese lunch in the afternoon, and check into a hot spring inn in the evening."

[1474] Step 5:

[1475] The generated travel route information is sent to the device and displayed visually. By using a map service to display the generated route on a map, users can check specific places to visit and the route they will travel. They can also customize the route as needed.

[1476] Step 6:

[1477] The server sends the route information to the autonomous vehicle's navigation system. Based on the received route information, the navigation system generates control information to guide the autonomous vehicle to its destination. The autonomous vehicle then travels according to this information. Information about planned visits and places to stay is displayed on the in-vehicle display.

[1478] Step 7:

[1479] After a trip, users enter reviews of the places and services they used into their device. This review information is sent to the server and stored in a database. The server analyzes these reviews and updates the database to improve the accuracy of future travel plan suggestions.

[1480] Through these steps, users can automatically manage complicated travel plans and comfortably check their travel and schedules while traveling.

[1481] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1482] 1. Overall Overview:

[1483] The system of this invention proposes optimal travel plans by combining information about travel destinations and hobbies and preferences entered by the user with an emotion engine that recognizes the user's emotions. This system is realized by a program that obtains travel destination information, restaurant information, and accommodation information from an external database, and analyzes and processes the information according to the user's requests and emotional state.

[1484] 2. Introducing the Emotion Engine:

[1485] The emotion engine is a device that analyzes a user's emotions based on the text, voice, and facial recognition data they input. This emotional data is reflected in the system and influences the selection of travel destinations and activities.

[1486] 3. Accept user input:

[1487] Users input their travel destination, hobbies, preferences, travel itinerary, budget, number of people, and emotional data into the device and press the send button. This information is sent from the device to the server. Emotional data may also be entered in real time, dynamically adjusting the user's experience.

[1488] 4. Data Collection:

[1489] The server sends queries to external databases (restaurant information service, travel accommodation information service, map information service) based on the input travel destination, hobbies, preferences, and emotion data, thereby collecting related travel destination information, restaurant information, and accommodation information.

[1490] 5. Data Analysis:

[1491] The collected data and emotional data are analyzed within the server. The analysis process selects and prioritizes the options that best match the user's hobbies, preferences, and emotional state. For example, if a user likes Japanese food and is currently feeling like relaxing, the system will prioritize Japanese restaurants with a relaxing atmosphere.

[1492] 6. Travel route generation:

[1493] The server then generates an optimal travel route based on the analyzed data. This route generation process takes into consideration the user's travel time, the tourist spots they plan to visit, and the relative locations of their accommodations. Furthermore, based on data from the emotion engine, the server creates a plan that takes into account the user's current emotional state.

[1494] 7. Route display and suggestions:

[1495] The generated travel route is sent to the device and displayed visually. The device uses a map information service to display the travel route in an easy-to-understand manner for the user. The user can check specific visiting spots and travel routes on the map.

[1496] 8. Entering reviews and updating the database:

[1497] After traveling, users input reviews of the places they visited and the services they used into their device. This review information is sent to the server and stored in a collection database. The server analyzes the collected reviews and sentiment data and updates the database to improve the accuracy of future suggestions.

[1498] Specific examples

[1499] As an example, we will explain how the system processes when a user inputs "I want to go to Kyoto," "I like tea ceremony experiences," and "I prefer quiet lodgings."

[1500] 1. Accept user input:

[1501] The user inputs "Kyoto," "tea ceremony experience," "quiet lodging," "three-day trip," and "budget of 150,000 yen" into the device, and also sends emotional data such as "I want to relax."

[1502] 2. Data Collection:

[1503] The server collects information on facilities and tourist spots that correspond to "Kyoto," "tea ceremony experience," and "quiet lodgings" from external databases. For example, it obtains tea room information from a restaurant information service and quiet lodging information from a travel and accommodation information service.

[1504] 3. Data Analysis:

[1505] The server analyzes the collected data and emotional data, sorting the list of facilities offering tea ceremony experiences by rating and quietness, and prioritizing the option that best matches the user's desire to "relax."

[1506] 4. Travel route generation:

[1507] Based on the analyzed data, a route is generated that includes a tea ceremony experience in the morning of the first day, a relaxing tourist spot in the afternoon, and checking into a quiet inn in the evening.

[1508] 5. Route display and suggestions:

[1509] To visually display the generated travel route, the system works with a map information provider and sends display data to the device. The user can view the map, check specific spots to visit, and travel routes, and make adjustments as necessary.

[1510] 6. Enter your reviews and update the database:

[1511] After the trip, the user inputs reviews of the facilities they visited into the terminal and sends them to the server, which analyzes the reviews and emotional feedback and updates the database.

[1512] In this way, the system of the present invention provides optimal travel plans based on the user's individual preferences and emotional state, and continuously improves the service through post-trip feedback.

[1513] The processing flow will be explained below.

[1514] Step 1:

[1515] The user inputs the travel destination, hobbies, preferences, travel schedule, budget, number of people, and emotional data into the terminal, and presses the send button. This information is sent from the terminal to the server.

[1516] Step 2:

[1517] The server receives the data sent by the user and stores it in a database for analysis, including travel destination, hobbies and preferences, travel itinerary, budget, number of people, and emotional data.

[1518] Step 3:

[1519] The server sends queries to external databases (restaurant information service, travel accommodation information service, map information service) based on the entered travel destination, hobbies, preferences, and emotion data, thereby collecting related travel destination information, restaurant information, and accommodation information.

[1520] Step 4:

[1521] The server receives the JSON data returned from the external database, structures it, and begins parsing it. The collected data is categorized into travel destinations, restaurants, accommodations, etc.

[1522] Step 5:

[1523] The server analyzes the data and filters it to select the options that best match the user's tastes, preferences, and emotional state. Prioritization is based on parameters such as rating points, distance, price, and emotional data.

[1524] Step 6:

[1525] The server generates an optimal travel route based on the selected options. The generated route takes into account the user's travel time, the location of tourist attractions, and the location of accommodations. Furthermore, data from the emotion engine is used to create a plan that takes into account the user's current emotional state.

[1526] Step 7:

[1527] In order to visually display the generated travel route, the server cooperates with a map information provider (e.g., Yahoo! Maps) to prepare data for visual display.

[1528] Step 8:

[1529] The device receives the display data from the server and visually displays the travel route on a map for the user. The user can check specific spots to visit and travel routes on the map and customize them as needed.

[1530] Step 9:

[1531] Users can input emotional data in real time while traveling, and the system will reflect their current emotional state. For example, if they feel "tired" at a certain tourist spot, they can input that information.

[1532] Step 10:

[1533] The server analyzes the emotion data received in real time and dynamically adjusts the current travel route. For example, if the user feels tired, the next destination will be changed to a relaxation facility.

[1534] Step 11:

[1535] After traveling, the user uses the terminal to input reviews of the places visited and the services used, and transmits the reviews to the server.

[1536] Step 12:

[1537] The server receives and analyzes reviews sent by users. The review information is stored in a database and is reflected in subsequent travel plan generation.

[1538] Step 13:

[1539] The server updates the database based on the collected reviews and emotion information, improving the accuracy of future suggestions, thereby generating travel plans that better suit the user's preferences and emotional state.

[1540] Through this series of steps, users can obtain optimal travel plans based on their individual preferences and emotional state, and encourage the system to continuously improve through feedback during and after the trip.

[1541] Example 2

[1542] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1543] Conventional travel plan generation systems guide users to travel routes based on their specified destinations, hobbies, and preferences. However, these systems do not take into account the user's emotional state, which can result in disappointing travel experiences. Furthermore, there is a lack of effective ways to utilize post-trip feedback, limiting the accuracy of suggestions for future trips. To address these issues, a system is needed that incorporates the user's emotional data and proposes optimal travel routes accordingly.

[1544] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1545] In this invention, the server includes means for inputting emotion data in addition to travel destinations and hobbies / preferences specified by the user, means for acquiring related travel destination information, restaurant information, and accommodation information from an external database, means for analyzing the acquired information and emotion data and generating a travel route optimal for the user's preferences and emotions, means for visually displaying the generated travel route on a map, and means for collecting post-trip reviews from users and updating the database, thereby enabling the server to propose an optimal travel route tailored to the user's emotional state.

[1546] "User" refers to an individual or organization that uses the system to create a travel plan.

[1547] "Terminal" refers to an electronic device used by a user, such as a computer, smartphone, or tablet.

[1548] "Server" refers to a central computer that receives input data from users and processes it to generate travel plans.

[1549] "Destination Information" refers to data about areas and cities that a user plans to visit.

[1550] "Hobbies and Preference Information" refers to information related to a user's preferences and interests.

[1551] "Emotion data" refers to data that indicates the user's current emotional state, and includes text, voice, facial recognition data, and the like.

[1552] "External database" refers to an external data storage system that provides restaurant information, travel and accommodation information, map information, etc.

[1553] A "travel route" refers to a plan showing the order of places and facilities that a user plans to visit during a trip.

[1554] "Analysis" refers to the process of deriving optimal options based on the user's preferences and emotional state using collected data.

[1555] "Review" refers to feedback information provided by a user after a trip.

[1556] "Map Display" refers to a display of data that allows a user to visually see their travel route.

[1557] MODE FOR CARRYING OUT THE INVENTION

[1558] The present invention is a system that analyzes information acquired from an external database using travel destinations, hobbies, preferences, and emotion data entered by the user, and proposes optimal travel routes to the user. Detailed embodiments for carrying out the present invention are described below.

[1559] First, this system consists of a terminal used by the user and a server that processes information. The terminal is an electronic device such as a personal computer, smartphone, or tablet, and the user uses it to input travel destinations, hobbies, preferences, and emotional data.

[1560] When a user inputs travel destination, hobbies and preferences, travel itinerary, budget, number of people, and emotional data into the device and presses the send button, this information is sent from the device to the server, which then uses an emotion engine (such as a natural language processing model or facial recognition software) to analyze the user's emotional state from the input data.

[1561] The emotion engine analyzes user input data (text, voice, images, etc.) and generates emotion data, which is an important element in customizing the user's travel plan.

[1562] The server acquires relevant travel destination information, restaurant information, and accommodation information from external databases (e.g., restaurant information services, travel and accommodation information services, map information services). The acquired data is analyzed based on the user's hobbies, preferences, and emotional data, and is used to generate the optimal travel route.

[1563] This analysis process prioritizes the options that best match the user's hobbies, preferences, and emotional state, and generates a travel route. For example, if a user likes Japanese food and has the emotion of wanting to relax, Japanese restaurants with a relaxing atmosphere will be prioritized.

[1564] The server then generates an optimal travel route based on the analysis results. This route generation process comprehensively considers the user's travel time, the tourist spots they plan to visit, and the relative locations of their accommodations, and also creates a plan that takes into account the user's current emotional state based on their emotional data.

[1565] The generated travel route is sent to the device and displayed visually in conjunction with a map information service. The user can check specific spots to visit and travel routes on the map and make adjustments as necessary.

[1566] Finally, after their trip, users enter reviews of the places they visited and the services they used into their device. This review information is sent to the server, where it is collected, analyzed, and updated to update the database. The server analyzes the collected reviews and sentiment data and updates the database to improve the accuracy of future suggestions.

[1567] Specific examples

[1568] For example, if the user inputs "I want to go to Kyoto," "I like to experience the tea ceremony," and "I prefer quiet lodgings," the system will process as follows:

[1569] 1. The user inputs "Kyoto," "tea ceremony experience," "quiet lodging," "three-day trip," and "budget of 150,000 yen" into the device. The user also sends emotional data such as "I want to relax."

[1570] 2. The server collects information related to "Kyoto," "tea ceremony experience," and "quiet lodging" from an external database.

[1571] 3. The server analyzes the collected information and emotion data to generate an optimal travel route, for example, a plan for the first day that includes a tea ceremony experience in the morning, a relaxing sightseeing spot in the afternoon, and checking into a quiet inn in the evening.

[1572] 4. The generated travel route is sent to the device and visually displayed on a map.

[1573] 5. After the trip, the user enters reviews of the facilities they visited into the terminal, and the server updates the database based on these reviews.

[1574] In this way, the system of the present invention provides optimal travel plans based on the user's preferences and emotions, and continuously improves the service through post-trip feedback.

[1575] Prompt Sentence Examples

[1576] The user enters the following information into the system:

[1577] "I want to go to Kyoto"

[1578] "I like the tea ceremony experience"

[1579] "I prefer a quiet place to stay"

[1580] "Three-day trip"

[1581] "Budget: 150,000 yen"

[1582] "I want to relax"

[1583] This allows the system to provide optimal travel plans.

[1584] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1585] Specific processing flow of the system

[1586] Step 1: Accepting user input

[1587] Description: The user enters travel destination, hobbies and preferences, travel schedule, budget, number of people, and emotional data into the terminal, and presses the send button.

[1588] Input: "Travel destination", "Hobbies and preferences", "Travel schedule", "Budget", "Number of people", "Emotional data"

[1589] Operation:

[1590] The user enters information such as "Kyoto," "tea ceremony experience," "quiet lodging," "3 days," "150,000 yen," and "want to relax" into the device's input screen.

[1591] When the send button is pressed, the terminal composes this information into a data packet and sends it to the server.

[1592] Output: The user's input data is sent to the server.

[1593] Step 2: Analyze the emotion data

[1594] Description: The server analyzes the emotion data from the received data using the emotion engine.

[1595] Input: User input data (especially "emotion data")

[1596] Operation:

[1597] The server uses an emotion engine (such as a natural language processing model or facial recognition software) to analyze the user's emotions from text and voice input data.

[1598] The emotion engine determines emotional states such as "I want to relax."

[1599] Output: User's emotional state data

[1600] Step 3: Collect data

[1601] Description: Based on the user's input data and emotional state, the server retrieves relevant travel destination information, restaurant information, and accommodation information from an external database.

[1602] Input: User input data, emotional state data

[1603] Operation:

[1604] The server sends a query to each external database (restaurant information service, travel and accommodation information service, map information service).

[1605] This allows the system to obtain information on facilities and tourist spots that correspond to, for example, "Kyoto," "tea ceremony experience," and "quiet lodging."

[1606] The server sends an SQL query to the external database, such as:

[1607] SELECT FROM Restaurants WHERE Category='Tea Ceremony' AND Location='Kyoto';

[1608] SELECT FROM Hotels WHERE Type='Quiet' AND Location='Kyoto';

[1609] Output: Collected travel destination information, restaurant information, and accommodation information

[1610] Step 4: Analyze the data

[1611] Description: The server selects the options that best suit the user's preferences and emotions based on the collected data and emotional data.

[1612] Input: Collected travel destination information, restaurant information, accommodation information, and user emotional state data

[1613] Operation:

[1614] The server compares the collected data with the user's emotional data and assigns priorities.

[1615] Prioritize the emotional data of "wanting to relax" and extract the optimal option that suits the user.

[1616] The server runs the following algorithm:

[1617] Sort(Restaurants) By Rating DESC, Quietness DESC;

[1618] Sort(Hotels) By Quietness DESC, Rating DESC;

[1619] Output: Prioritized travel destination information and accommodation information

[1620] Step 5: Generate travel routes

[1621] Description: The server generates the optimal travel route based on the analysis results.

[1622] Input: Prioritized travel destination information and accommodation information

[1623] Operation:

[1624] For example, the server will create a plan for the first day that includes a tea ceremony experience in the morning, a relaxing tourist spot in the afternoon, and checking into a quiet inn in the evening.

[1625] Specifically, it generates the following schedule:

[1626] Day 1 Morning: Tea Ceremony at Kiyomizu Temple

[1627] Day 1 Afternoon: Relax at Maruyama Park

[1628] Day 1 Evening: Check-in at Ryokan [Quiet Hotel]

[1629] Output: Generated travel route

[1630] Step 6: View and suggest routes

[1631] Description: Send the generated travel route to the device and display it visually.

[1632] Input: Generated travel route

[1633] Operation:

[1634] The server converts the generated route into JSON format data and sends it to the terminal.

[1635] The device analyzes this data and displays it visually using a map information service.

[1636] Users can check their travel route on the device screen and zoom in and out on the map to view more detailed information.

[1637] Output: A visual representation of the travel route

[1638] Step 7: Enter reviews and update the database

[1639] Description: Users enter reviews after their trips, and the server updates the database accordingly.

[1640] Enter: Post-trip review

[1641] Operation:

[1642] After the trip, the user inputs reviews of the facilities and accommodations they visited on the application on their terminal.

[1643] An example review would be, "The tea ceremony experience was very relaxing. The accommodation was quiet and comfortable."

[1644] The terminal sends this information to the server.

[1645] The server analyzes the received reviews and updates the rating data of the relevant facilities and services.

[1646] Output: Updated database

[1647] The above is a detailed description of the specific processing flow of the system and each processing step.

[1648] (Application example 2)

[1649] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1650] Conventional travel plan suggestion systems only make suggestions based on the user's static preferences and specified conditions, making it difficult to respond to the user's emotional state or real-time psychological needs. Furthermore, they lacked a mechanism for utilizing post-trip feedback information to improve the accuracy of future suggestions. This made it difficult to provide highly accurate suggestions that matched the user's psychological state.

[1651] The specification processing by the specification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes: means for inputting data based on the travel destination and hobbies and preferences specified by the user; means for acquiring related travel destination information, restaurant information, and accommodation information from an external database; means for analyzing the acquired information and generating a travel route optimal for the user's preferences; means for visually displaying the generated travel route on a map; means for collecting post-travel reviews from the user and updating the database; and means for analyzing the user's emotional state and suggesting optimal dining experiences and travel plans based on the results. This makes it possible to propose highly accurate travel plans that take into account the user's real-time emotional state and psychological needs.

[1652] "Means for inputting data based on the travel destination and hobbies and preferences specified by the user" refers to an interface that allows the user to input information such as travel destination, hobbies and preferences, budget, and schedule.

[1653] "Means for acquiring related travel destination information, restaurant information, and accommodation information from external databases" means a function that automatically acquires information about travel destinations, restaurants, and accommodation information from external information providing services.

[1654] "Means for analyzing the acquired information and generating a travel route that best suits the user's preferences" refers to an algorithm or system that generates an optimal travel route that matches the user's preferences and conditions based on the acquired information.

[1655] The "means for visually displaying the generated travel route on a map" refers to a display device or software for displaying the generated travel route on a map and making it visible to the user.

[1656] The "means for collecting post-trip reviews from users and updating the database" refers to a function that collects feedback from users after their trip and reflects it in the database to improve the accuracy of future suggestions.

[1657] "Means for analyzing the user's emotional state and proposing optimal dining experiences and travel plans based on this" refers to an emotion analysis engine or software that analyzes user input and real-time emotional data and proposes dining experiences and travel plans that match that emotional state.

[1658] A specific system for implementing the present invention is configured using the following hardware and software.

[1659] System hardware and software configuration

[1660] Hardware: Smartphone (used as a user interface), cloud server (data analysis, database management)

[1661] software:

[1662] Smartphone app: An interface where users input travel destinations, preferences, and emotional states

[1663] Sentiment analysis engine: Software for analyzing emotion data (e.g., Python-based EmotionAPI)

[1664] Database system: A relational database such as PostgreSQL

[1665] External API: Google Maps API (provides map information), restaurant information API, accommodation information API, etc.

[1666] System Operation

[1667] 1. Accepting user input

[1668] Users use a smartphone app to input information such as travel destination, hobbies and preferences, travel schedule, budget, number of people, emotional state, etc. This input information is sent to a cloud server.

[1669] 2. Data collection

[1670] The cloud server sends queries to external databases (such as restaurant information services, travel and accommodation information services, and map information services) to collect related travel destination information, restaurant information, and accommodation information.

[1671] 3. Data Analysis

[1672] The data and emotional data collected on the cloud server are analyzed. The emotion analysis engine analyzes emotions based on the user's text input, voice data, and facial recognition data. Based on the results of this analysis, the option that best matches the user's emotional state and preferences is selected. For example, if a user likes "Japanese food" and is currently feeling like "relaxing," relaxing Japanese restaurants will be prioritized.

[1673] 4. Travel route generation

[1674] Based on the analyzed data, the cloud server generates an optimal travel route, taking into consideration the user's travel time, planned tourist spots, the location of accommodations, and the user's current emotional state.

[1675] 5. Route display

[1676] The generated travel route is sent to a smartphone app and displayed visually using a map information service, allowing users to check specific places to visit and travel routes on the map.

[1677] 6. Enter reviews and update the database

[1678] After a trip, users enter reviews of the places they visited and the services they used into a smartphone app and send them to a cloud server. The cloud server analyzes the reviews and emotional feedback and updates the database to improve the accuracy of suggestions for future trips.

[1679] Specific examples

[1680] For example, if the user types:

[1681] Travel destination: Kyoto

[1682] Hobbies and interests: Tea ceremony experience

[1683] Accommodation: Quiet Inn

[1684] Trip duration: 3 days

[1685] Budget: 150,000 yen

[1686] Emotional state: I want to relax

[1687] Prompt Sentence Examples

[1688] Enter your travel destination: Kyoto

[1689] Please enter your hobbies and interests: Tea ceremony experience

[1690] Please enter your accommodation preference: Quiet accommodation

[1691] Enter your travel dates: 3 days

[1692] Please enter your budget: 150,000 yen

[1693] Please describe your current emotional state (relaxed / enjoyed / adventurous): Relaxed

[1694] Based on this input information, the cloud server retrieves related information from an external database and proposes the optimal travel plan to the user based on the results of sentiment analysis.The user then travels based on this and enters a review after the trip, which improves the accuracy of the proposals next time.

[1695] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1696] Step 1:

[1697] The user uses a smartphone to input information such as travel destination, hobbies and preferences, travel itinerary, budget, number of people, and emotional state. The device then sends this data to a cloud server. Input data includes "travel destination: Kyoto," "hobbies and preferences: tea ceremony experience," and "budget: 150,000 yen." The server receives this information and stores it in a database.

[1698] Step 2:

[1699] The server sends queries to external information services (restaurant information services, travel accommodation information services, map information services, etc.) to obtain relevant travel destination information, restaurant information, and accommodation information. The obtained data includes information on places in Kyoto where you can experience tea ceremony and quiet accommodations. The server stores this information in a database for analysis.

[1700] Step 3:

[1701] On the server, an emotion analysis engine analyzes the user's emotional data. For example, if the user inputs "I want to relax," the emotion analysis engine recognizes the emotional state of "relaxed." The input data also includes the user's text data, which is analyzed to extract the emotional state. The results of this analysis are reflected in the generation of the travel plan.

[1702] Step 4:

[1703] The server runs an algorithm that generates an optimal travel route based on the collected information and analyzed emotional data. The algorithm prioritizes options that best match the user's preferences, taking into consideration factors such as travel time, planned tourist spots, and the location of accommodations. The generated travel route takes into account the user's emotional state of "wanting to relax."

[1704] Step 5:

[1705] The server sends the generated travel route to the smartphone device. The device receives this information and, in cooperation with the map information provider, visually displays the travel route on a map. The user can check specific visiting spots and travel routes on the smartphone. At this stage, the user can also adjust the route.

[1706] Step 6:

[1707] After the trip, users use their smartphones to write reviews of the places they visited and the services they used. These reviews include detailed feedback, such as, "The tea ceremony experience was very relaxing." The smartphones then send this review information to a cloud server.

[1708] Step 7:

[1709] The server analyzes the reviews and sentiment feedback submitted by users, stores them in a database, and updates it. The analysis results are stored to be reflected in future travel plan suggestions. This data is used to improve the accuracy of the algorithm.

[1710] Through these steps, highly accurate travel plan suggestions that match the user's emotional state and preferences are realized.

[1711] 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.

[1712] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1713] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1714] 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.

[1715] FIG. 9 is a diagram illustrating 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 actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect 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.

[1716] 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.

[1717] 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).

[1718] 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 indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, 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 indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1719] 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."

[1720] 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.

[1721] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1722] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1723] 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.

[1724] 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.

[1725] 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.

[1726] The hardware resource for executing a specific process can be any of the following processors: An example of a processor 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. Another example of a processor is 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.

[1727] The hardware resource that executes the specific processing 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 processing may be a single processor.

[1728] 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.

[1729] 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.

[1730] 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.

[1731] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publicatio...

Claims

1. A means for inputting data based on the travel destination and hobbies / preferences designated by the user; A means for acquiring related travel destination information, restaurant information, and accommodation information from an external database; A means for analyzing the acquired information and generating a travel route that best suits the user's preferences; a means for visually displaying the generated travel route on a map; a means for collecting post-trip reviews from users and updating the database; A system including:

2. Uses restaurant information service, travel accommodation information service, and map information service as external databases The system of claim 1 .

3. After the user inputs their travel destination and hobbies and preferences, the system prioritizes information retrieved from external databases based on that information and generates the optimal travel route. The system of claim 1 .

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