system

Abstract

Provide a system. [Solution] a means for users to input their travel preferences and interests; means by the terminal to transmit user input to a server; a means for the server to collect information about travel destinations from the Internet; A means for analyzing the information collected by the server and identifying tourist destinations that match the user's preferences; A means for the server to generate an optimal travel plan based on the analysis results; and means for transmitting the generated travel plan to a terminal and displaying the same.

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] When planning a trip, users must gather a large amount of information from the Internet, which can make it difficult to determine where to go or which location best suits their needs. Furthermore, selecting the best tourist spots and activities based on individual requirements such as budget and length of stay takes time and effort, so there is a need for a method to enable efficient trip planning. [Means for solving the problem]

[0005] The present invention is a system that includes a means for a user to input their travel wishes and interests and a means for transmitting the input to a server, a means for the server to collect information about travel destinations from the Internet based on the input, a means for analyzing the collected information to identify tourist spots that match the user's wishes, a means for generating an optimal travel plan based on the analysis results, and a means for transmitting the generated travel plan to a terminal for display. This allows a user to easily and quickly obtain an efficient and fulfilling travel plan based on their wishes.

[0006] "User" refers to a person who uses the system to input travel wishes and interests and receive travel plan suggestions.

[0007] A "terminal" is a device that a user operates and inputs data, and has the function of communicating with a server.

[0008] "Server" refers to a central system that has the ability to collect and analyze information from the Internet, and generate and transmit optimal travel plans to users.

[0009] "Inputting travel wishes and interests" means that the user inputs the places they want to visit, the activities they want to do, their budget, the number of days they want to stay, etc. into the terminal in text or selection format.

[0010] "Collecting information from the internet" means that the server obtains data about travel destinations from external websites, databases, APIs, etc.

[0011] "Analyzing information" means processing data collected by the server to select tourist spots and activities that match the user's preferences.

[0012] "Generating an optimal travel plan" means setting a detailed itinerary for a trip based on user input and creating a plan including specific activities and places to visit.

[0013] "Sending the travel plan to the terminal" means that the server sends the generated travel plan in data format to the user's terminal, which then displays it. [Brief explanation of the drawings]

[0014] [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 illustrating 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

[0015] 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.

[0016] First, the terms used in the following description will be explained.

[0017] 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).

[0018] 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.

[0019] 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.

[0020] 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.

[0021] 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."

[0022] [First embodiment]

[0023] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0024] 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.

[0025] 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).

[0026] 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.

[0027] 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.

[0028] 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.

[0029] 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.

[0030] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0031] 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.

[0032] 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.

[0033] 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.

[0034] 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."

[0035] This invention relates to a system that allows users to input their travel preferences and interests and then provides optimal travel plans based on those inputs. This system consists of a terminal operated by the user, a server that collects and analyzes information, and a communication means that connects these.

[0036] System configuration and operation

[0037] 1. Collecting User Input

[0038] The user uses the device to input their travel preferences and interests, specifically the following information through the device interface:

[0039] Places you would like to visit or activities you would like to do (e.g., natural landscapes, historical sites, outdoor activities, etc.)

[0040] Travel budget and length of stay

[0041] Desired travel time and season

[0042] The device encodes this information in an appropriate format (e.g., JSON format) and sends it to the server.

[0043] 2. Data collection from the Internet

[0044] The server collects data from multiple sources over the network, including travel information websites, tourism agency databases, blog posts, review websites, etc. It uses API requests and web scraping techniques to obtain detailed information about each travel destination.

[0045] 3. Data Analysis

[0046] The server stores the collected data in a database in advance and uses a text analysis algorithm to filter information that matches the user's preferences. For example, if the keyword "natural scenery" is included, Mount Fuji, Yakushima, Hokkaido, etc. will be extracted.

[0047] The extracted information is then matched with other parameters such as the user's budget, length of stay, and season to identify the best candidate locations.

[0048] 4. Generate a travel plan

[0049] The server generates a specific itinerary based on the analysis results, including a daily itinerary with details such as:

[0050] How to access each tourist spot (transportation, travel time, etc.)

[0051] Business information for each tourist spot (opening hours, admission fees, etc.)

[0052] Recommended sightseeing routes and activities

[0053] As a concrete example, if a user inputs "I want to go to a place with lots of nature," with a budget of 100,000 yen and a stay of 3 days, the plan will be structured as follows:

[0054] Day 1: Climbing Mount Fuji

[0055] Day 2: Fuji Five Lakes Sightseeing

[0056] Day 3: Relax at Lake Yamanaka

[0057] 5. Providing travel plans

[0058] The generated travel plan is sent to the terminal, which displays it to the user. The user can check the displayed plan and make corrections or selections. The final plan is sent back to the server and confirmed.

[0059] This system allows users to easily obtain efficient and detailed travel plans that meet their needs, significantly reducing the time and effort spent on planning trips and enabling a more fulfilling travel experience.

[0060] The processing flow will be explained below.

[0061] Step 1:

[0062] Users input their travel preferences and interests. Specifically, they log in to the device interface and enter specific requests, such as "I want to go to a place with lots of nature" or "I want to visit historical sites," using text input or multiple-choice options. They also enter additional options, such as budget, number of days to stay, and desired travel period.

[0063] Step 2:

[0064] The device sends the user's input to the server, which then formats the information in a format such as JSON or XML and sends it to the server using a security protocol.

[0065] Step 3:

[0066] The server collects information about travel destinations from the Internet based on user input. The server calls multiple APIs to obtain data from travel information websites, tourism agency databases, travel-related blogs and review websites, and uses web scraping technology as needed to collect text and image data.

[0067] Step 4:

[0068] The server stores the collected data in a database, which is then saved as structured data containing detailed information about each tourist destination, such as its location, access method, opening hours, popularity, and reviews.

[0069] Step 5:

[0070] The server analyzes the collected data. It uses natural language processing (NLP) algorithms to match the collected data with the user's preferences. For example, if the keyword "nature" is included, tourist destinations such as Mount Fuji, Yakushima, and Hokkaido will be extracted as candidates. Filtering is also performed to select candidate destinations that fit the user's budget and length of stay.

[0071] Step 6:

[0072] The server generates a specific travel plan based on the analysis results. Based on the user's input, it creates a daily itinerary that combines the best sightseeing spots and activities. The plan includes information such as how to access each tourist spot, admission fees, business hours, and recommended sightseeing routes.

[0073] Step 7:

[0074] The server sends the generated travel plan to the device, where it is again formatted in JSON or XML format and sent to the device.

[0075] Step 8:

[0076] The terminal receives the information from the server and presents it to the user. The terminal analyzes the received data and displays it in a user-friendly interface. The terminal also includes a function that allows the user to check the details of the proposed plan and request revisions if necessary.

[0077] Step 9:

[0078] The user reviews the proposed plan and makes a final decision. The user selects from the multiple travel plans presented and decides on the final itinerary. After reviewing, the device sends this information to the server and finalizes the plan.

[0079] Through these steps, the user can easily create an efficient and satisfying travel plan.

[0080] Example 1

[0081] 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."

[0082] In today's busy lifestyles, it is extremely difficult for users to efficiently create travel plans that match their desires and interests. Collecting information about travel destinations and creating detailed itineraries is particularly time-consuming and labor-intensive, placing a significant burden on users. Furthermore, to prevent problems users may encounter during their trip, they need to know detailed access and sales information in advance. Therefore, there is a need for a system that can efficiently and quickly solve these problems.

[0083] 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.

[0084] In this invention, the server includes means for analyzing the collected information and identifying travel destinations that match the user's preferences, means for generating a detailed travel plan including a daily itinerary based on the analysis results, and means for transmitting the generated travel plan to a terminal and displaying it, thereby enabling the user to easily create an efficient and detailed travel plan that meets their preferences.

[0085] "User" refers to an entity that inputs travel wishes and interests through the system and receives travel plans.

[0086] "Terminal" refers to a device that allows a user to input travel preferences and interests and transmit them to a server. Examples include PCs, smartphones, and tablets.

[0087] "Server" refers to a device that receives information sent by users, collects, analyzes, and stores information about travel destinations via the Internet, and generates and provides optimal travel plans.

[0088] "Information collection" refers to the process by which a server acquires data about travel destinations via a network, including data acquisition from travel information websites and databases of the Japan Tourism Agency.

[0089] "Analysis" refers to the process by which the server categorizes and filters the collected information based on the user's preferences to identify suitable travel destinations.

[0090] "Travel plan" refers to a detailed travel itinerary generated by the server based on the user's wishes and conditions. Specifically, it includes information such as how to access each tourist spot, business information, and recommended routes.

[0091] "Access information" refers to information necessary for a user to travel to a travel destination, such as transportation means and travel time to the travel destination.

[0092] "Business information" refers to detailed information that users need when visiting tourist attractions and facilities, such as opening hours and admission fees.

[0093] A "prompt" is an instruction statement that is input into a generative AI model to obtain requested information or data.

[0094] "Detailed information" refers to all information necessary to support travel planning, such as access information, business information, and tourist routes for potential travel destinations.

[0095] This invention is a system that provides optimal travel plans based on users' input of their travel preferences and interests. To implement this system, a terminal operated by the user, a server that collects and analyzes information, and a communication means to connect these are required.

[0096] First, the user inputs their travel preferences and interests through the device, such as the places they want to visit, the activities they want to do, their travel budget, the number of days they want to stay, and the time of travel. The information entered through the device interface is encoded in an appropriate format (e.g., JSON format) and sent to the server.

[0097] Next, the server collects data from multiple sources via the network. These sources include travel information websites, tourism agency databases, blog articles, and review websites. Specifically, data is acquired using web scraping tools such as Python's BeautifulSoup or Scrapy, or the Google® Places API or TriPad® visor API. The collected data is stored in a database such as MongoDB.

[0098] The server analyzes the collected data using a text analysis algorithm (such as Python's NLTK or spaCy) to extract travel destination information that matches the user's preferences. For example, if the keyword "natural scenery" is included, information on Mount Fuji, Yakushima, Hokkaido, etc. will be extracted. The data is then compared with the user's budget, length of stay, and seasonal parameters to narrow down the optimal travel destinations.

[0099] Based on the analysis results, the server generates a detailed travel plan, including daily itineraries, how to access each tourist spot (transportation means, travel time, etc.), business information (opening hours, admission fees, etc.), recommended sightseeing routes and activities.

[0100] For example, if a user inputs "I want to go to a place with lots of nature," "My budget is 100,000 yen," "I want to stay for 3 days," and "I want to travel in the fall," the generated plan will look like this:

[0101] Day 1: Climb Mount Fuji (Transportation: Shinkansen and bus, Travel time: 5 hours, Opening hours: 8:00 AM - 5:00 PM, Admission fee: Free)

[0102] Day 2: Sightseeing around the Fuji Five Lakes (Transportation: Bus; Travel Time: 1 hour; Major Sightseeing Spots: Lake Kawaguchi and Lake Yamanaka; Opening Hours: Regular; Admission Fee: Free or Varies by Location)

[0103] Day 3: Relax at Lake Yamanaka (Transportation: Bus; Travel Time: 1 hour; Activities: Boating, Hiking, Hot Springs)

[0104] The generated travel plan is sent from the server to the terminal and displayed to the user. The user can check the displayed plan and make corrections or selections as necessary. The finalized plan is sent back to the server and confirmed.

[0105] This system allows users to easily obtain an efficient and detailed travel plan that matches their needs. An example of a specific prompt sentence is, "Please tell me a travel plan that focuses on natural scenery, has a budget of 100,000 yen, and lasts for three days. The time is autumn.", and an appropriate travel plan is generated.

[0106] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0107] Step 1: Collecting User Input

[0108] The user uses the device to input their travel preferences and interests. Specifically, they input the places they want to visit, the activities they want to do, their travel budget, the number of days they want to stay, the time they want to travel, etc. through the interface. The device encodes this information in JSON format and sends it to the server. The input is the user's preferences, and the output is the encoded JSON format data sent to the server.

[0109] Step 2: Collecting data from the internet

[0110] The server collects data about travel destinations from multiple sources via the network. Specifically, it uses API requests and web scraping technology to obtain data from travel information websites, Japan Tourism Agency databases, blog articles, review sites, etc. The input is a query to collect information, and the output is the obtained data about travel destinations, which is stored in a database on the server.

[0111] Step 3: Data analysis

[0112] The server analyzes the collected data using text analysis algorithms. Specifically, it uses Python libraries such as NLTK and spaCy to extract travel destination information that matches the user's preferences. Information containing keywords such as "natural scenery" is filtered and compared with the user's budget, length of stay, and season. The input is data about travel destinations and the user's desired information, and the output is travel destinations that match the user's criteria.

[0113] Step 4: Generate your travel plan

[0114] The server generates a specific travel plan based on the analysis results. This plan includes daily itineraries, how to access tourist spots, business information (opening hours, admission fees, etc.), recommended sightseeing routes and activities. The input is filtered travel destination information, and the output is a detailed travel plan. For example, if the user inputs "a trip focusing on natural scenery," "a budget of 100,000 yen," "a three-day stay," and "a trip in autumn," the following plan will be generated:

[0115] Day 1: Climb Mount Fuji (Transportation: Shinkansen and bus, Travel time: 5 hours, Opening hours: 8:00 AM - 5:00 PM, Admission fee: Free)

[0116] Day 2: Sightseeing around the Fuji Five Lakes (Transportation: Bus; Travel Time: 1 hour; Major Sightseeing Spots: Lake Kawaguchi and Lake Yamanaka; Opening Hours: Regular; Admission Fee: Free or Varies by Location)

[0117] Day 3: Relax at Lake Yamanaka (Transportation: Bus; Travel Time: 1 hour; Activities: Boating, Hiking, Hot Springs)

[0118] Step 5: Provide your travel plan

[0119] The generated travel plan is sent from the server to the terminal and displayed to the user. The user can check the displayed plan and make corrections or selections as necessary. The finalized plan is sent back to the server and confirmed. The input is the generated travel plan, and the output is the plan displayed to the user and the user's selections and modifications sent to the server.

[0120] (Application example 1)

[0121] 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."

[0122] When planning a trip, users need to gather a lot of information and select the best travel plan from it. However, this process is time-consuming and laborious, and it is very difficult to gather information, especially about places you are visiting for the first time or areas you are unfamiliar with. In addition, there are limited ways to confirm in advance whether the planned destinations and activities actually meet your needs, which can lead to low travel satisfaction.

[0123] 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.

[0124] In this invention, the server includes a means for a user to input travel wishes and interests, a means for a terminal to transmit the user's input to the server, a means for the server to collect information about travel destinations from the Internet, a means for the server to analyze the collected information and identify tourist spots that match the user's wishes, a means for the server to generate an optimal travel plan based on the analysis results, a means for transmitting the generated travel plan to the terminal and displaying it, and a means for allowing the user to experience the generated travel plan in a virtual environment. This allows users to significantly reduce the time and effort required to plan a trip, and improve their satisfaction with their trip by experiencing travel destinations and activities that match their wishes in a virtual environment in advance.

[0125] "Means for users to input their travel wishes and interests" refers to an interface that allows users to input their travel wishes and interests via a terminal.

[0126] "Means for a terminal to transmit user input to a server" refers to a device that has the function of transmitting user input data to a server using a communication means.

[0127] "Means for the server to collect information about travel destinations from the Internet" refers to a system component that has the functionality to obtain data about travel destinations from multiple sources on the Internet.

[0128] "Means for analyzing the information collected by the server and identifying tourist destinations that match the user's preferences" refers to the function for analyzing collected travel information using text analysis algorithms, etc., and selecting tourist destinations that match the user's desired conditions.

[0129] "Means for the server to generate optimal travel plans based on the analysis results" refers to a function that automatically creates specific travel plans, including daily itineraries and access methods, based on identified tourist destinations.

[0130] "Means for transmitting the generated travel plan to the terminal and displaying it" refers to a function for transmitting the travel plan generated by the server to the terminal operated by the user and displaying it.

[0131] "Means for allowing users to experience in a virtual environment" refers to a function that allows users to experience part or all of the generated travel plan in a virtual reality (VR) environment through smart glasses, a head-mounted display, etc.

[0132] "A means to allow users to experience filtered travel destinations in a virtual environment in advance" refers to a function that uses virtual reality (VR) technology to simulate specific travel destinations selected based on the user's desired conditions in advance, allowing the user to experience them.

[0133] "Means for recreating the selected travel plan in a virtual environment and conducting a pre-simulation" refers to a function that uses virtual reality (VR) technology to recreate the contents of the specific travel plan selected by the user and conduct a simulation before the trip begins.

[0134] This invention relates to a system that allows users to input their travel preferences and interests and then provides optimal travel plans based on those inputs. This system consists of a terminal operated by the user, a server that collects and analyzes information, and a communication means that connects these.

[0135] 1. Collecting User Input

[0136] Users input their travel preferences and interests using a device such as a smartphone or PC. Specifically, they input the following information through the device's interface:

[0137] Places you would like to visit or activities you would like to do (e.g., natural landscapes, historical sites, outdoor activities, etc.)

[0138] Travel budget and length of stay

[0139] Desired travel time and season

[0140] This information is encoded into an appropriate format (e.g., JSON format) on the terminal side and sent to the server.

[0141] 2. Data collection from the Internet

[0142] The server collects data from multiple sources over the Internet, including travel information websites, tourism agency databases, blog posts, review sites, etc. Using API requests and web scraping techniques, it retrieves detailed information about each travel destination and stores it in a database.

[0143] 3. Data Analysis

[0144] The server uses a text analysis algorithm to filter information that matches the user's preferences based on the collected data. For example, if the keyword "natural scenery" is included, Mount Fuji, Yakushima, Hokkaido, etc. will be extracted. The extracted information is then compared with other parameters such as the user's budget, length of stay, and season to select the most suitable candidate locations.

[0145] 4. Generate a travel plan

[0146] Based on the analysis, the server generates a detailed travel plan with a daily itinerary, including details such as:

[0147] How to access each tourist spot (transportation, travel time, etc.)

[0148] Business information for each tourist spot (opening hours, admission fees, etc.)

[0149] Recommended sightseeing routes and activities

[0150] 5. Providing travel plans

[0151] The generated travel plan is sent to the terminal, which displays it to the user. The user can review the displayed plan and make corrections or selections as necessary. In addition, it is possible to experience the generated travel plan in advance using virtual reality (VR) technology.

[0152] Specific examples

[0153] For example, if a user inputs "I want to go to a place with lots of nature," with a budget of 100,000 yen and a stay of 3 days, the plan will be configured as follows:

[0154] Day 1: Climbing Mount Fuji

[0155] Day 2: Fuji Five Lakes Sightseeing

[0156] Day 3: Relax at Lake Yamanaka

[0157] Based on this plan, users can experience part or all of this journey in a virtual environment using smart glasses or a head-mounted display.

[0158] Prompt Sentence Examples

[0159] User input prompt:

[0160] Enter your desired travel destination (keywords: natural scenery, historical sites, outdoor activities, etc.): Natural scenery

[0161] Enter your travel budget: 100000

[0162] Enter number of nights: 3

[0163] Please enter your preferred travel period: Summer

[0164] Generated AI prompt:

[0165] Based on the user's desired "natural scenery," generate an optimal travel plan for a budget of 100,000 yen, a stay of 3 days, and the summer season. For each day, suggest places with abundant nature, such as Mt. Fuji, Yakushima, and Hokkaido, and include access methods, travel time, and recommended activities for each destination.

[0166] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0167] Step 1:

[0168] Users input their travel preferences and interests. Using a smartphone or PC interface, users input specific criteria such as desired destination, budget, length of stay, and desired travel time. The input data is encoded in JSON format and stored internally on the device for later processing.

[0169] Step 2:

[0170] The device sends the user's input data to the server. The device then sends the encoded JSON data to the server via the Internet. Specifically, the data is sent using an HTTP request, and the server receives the request.

[0171] Step 3:

[0172] The server collects information about travel destinations from the Internet. The server uses API requests and web scraping technology to obtain data from multiple sources, such as travel information websites and Japan Tourism Agency databases. The obtained data is stored in a database within the server.

[0173] Step 4:

[0174] The server analyzes the collected data and identifies tourist destinations that match the user's preferences. The server uses a text analysis algorithm to filter the collected data for information that matches the user's desired conditions. For example, if the user requests "natural scenery," tourist destinations that match that condition will be extracted.

[0175] Step 5:

[0176] The server generates an optimal travel plan based on the analysis results. For the identified tourist destinations, the server automatically generates a specific travel plan including daily schedules, access methods, business information, etc. The generated plan is encoded in JSON format and stored for the next step.

[0177] Step 6:

[0178] The generated travel plan is sent to the terminal and displayed. The server sends the generated travel plan to the terminal again via an HTTP request, which the terminal receives and displays to the user. The user can check the proposed plan and make corrections or selections as necessary.

[0179] Step 7:

[0180] The generated travel plan is then experienced by the user in a virtual environment. Using smart glasses or a head-mounted display, the user can simulate part or all of the travel plan in a virtual reality (VR) environment. Specifically, 3D visualization based on the plan is generated, allowing the user to experience virtual sightseeing.

[0181] 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.

[0182] This invention relates to a system that generates personalized travel plans by taking into consideration the user's emotions when providing optimal travel plans based on the user's travel wishes and interests. This system is composed of a terminal operated by the user, a server that collects and analyzes information, an emotion engine that recognizes the user's emotions, and communication means that connect these.

[0183] System configuration and operation

[0184] 1. Collecting User Input

[0185] Users use their devices to input their travel preferences and interests. Specifically, they log into the device's interface and enter specific requests, such as "I want to go to a place with lots of nature" or "I want to visit historical sites," using text input or a selection method. They also enter additional options, such as their budget, number of days to stay, and desired travel period.

[0186] In addition, the device is equipped with a facial recognition camera or sensor, which allows the emotion engine to analyze the user's emotions in real time. For example, if the user is smiling while typing, the emotion engine will recognize the situation as joy.

[0187] 2. Data collection from the Internet

[0188] The server collects data from multiple sources over the network, including travel information websites, tourism agency databases, blog posts, review websites, etc. It uses API requests and web scraping techniques to obtain detailed information about each travel destination.

[0189] 3. Data Analysis

[0190] The server stores the collected data in a database and uses a text analysis algorithm to filter information that matches the user's preferences. For example, if the keyword "natural landscape" is included, Mount Fuji, Yakushima, Hokkaido, etc. will be extracted.

[0191] The system also takes into account the user's emotional data analyzed by the emotion engine. For example, if the user has an expectant expression, this emotional data is incorporated into the analysis as a positive factor, and tourist spots that match the user's emotions are preferentially filtered.

[0192] 4. Generate a travel plan

[0193] The server generates a specific travel plan based on the analysis results. Based on the user's input and emotional data, it creates a daily itinerary that combines the best sightseeing spots and activities. The plan includes access methods, admission fees, business information, recommended sightseeing routes, and more for each tourist spot.

[0194] For example, if a user enters "I want to go to a place with lots of nature," has a budget of 100,000 yen, plans to stay for three days, and has a happy expression on their face when entering the information, the plan will be constructed as follows:

[0195] Day 1: Climbing Mount Fuji

[0196] Day 2: Fuji Five Lakes Sightseeing

[0197] Day 3: Relax at Lake Yamanaka

[0198] 5. Providing travel plans

[0199] The generated travel plan is sent to the terminal, which displays it to the user. The user can review the displayed plan and make modifications or selections. The user's feelings when reviewing the plan are also analyzed again, and a new plan is proposed if necessary. The final plan is sent back to the server and confirmed.

[0200] This system allows users to easily create efficient and satisfying travel plans that take into account their desires and emotions, significantly reducing the time and effort spent on travel planning and providing a more fulfilling travel experience.

[0201] The processing flow will be explained below.

[0202] Step 1:

[0203] The user enters their travel preferences and interests. They access the device's interface and input their travel preferences, such as "I want to go to a place with lots of nature" or "I want to visit historical sites," using text input or multiple-choice options. They also input detailed options such as their budget, number of days to stay, and the time of their trip.

[0204] Step 2:

[0205] The device uses a facial recognition camera or sensor to capture the user's facial expression when the user inputs, and transmits it to the emotion engine in real time. The emotion engine analyzes the user's facial expression and generates emotion data.

[0206] Step 3:

[0207] The terminal transmits the user's input data and emotion data to the server, and the input information is transmitted to the server using a secure protocol.

[0208] Step 4:

[0209] The server collects information about travel destinations from the Internet, using APIs and web scraping technology from multiple travel information websites, Japan Tourism Agency databases, travel blogs, review sites, etc.

[0210] Step 5:

[0211] The server stores the collected data in a database, which includes details such as the location of the tourist attraction, access information, opening hours, admission fees, and review ratings.

[0212] Step 6:

[0213] The server extracts the necessary information from the database and uses a text analysis algorithm to filter tourist spots that match the user's preferences. If the user requests "nature," tourist spots such as Mount Fuji and Yakushima will be extracted. Furthermore, the server references the analysis results of the emotion engine to prioritize tourist spots that match the user's emotions.

[0214] Step 7:

[0215] The server generates an optimal travel plan based on the analysis results and emotion data. The plan includes a daily itinerary, access methods for each tourist spot, admission fees, opening hours, and recommended sightseeing routes. For example, if the user has a happy expression and requests a nature trip, the plan will be constructed as follows:

[0216] Day 1: Climbing Mount Fuji

[0217] Day 2: Fuji Five Lakes Sightseeing

[0218] Day 3: Relax at Lake Yamanaka

[0219] Step 8:

[0220] The server sends the generated travel plan to the device, where it is reformatted and sent to the device using a secure protocol.

[0221] Step 9:

[0222] The device presents the travel plan from the server to the user. The user can check the displayed plan and make corrections or provide feedback as necessary. The device also captures the user's facial expression when giving feedback and evaluates it using the emotion engine.

[0223] Step 10:

[0224] The user finally checks and selects the proposed plan. The user decides on the best plan from the multiple proposed options and presses the confirm button. The device sends this information to the server and confirms the final plan.

[0225] Through these steps, users can create an efficient and comprehensive travel plan based on their own desires and feelings.

[0226] Example 2

[0227] 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."

[0228] Existing travel plan generation systems propose travel plans based on the user's basic wishes and requests, but it is difficult to provide plans that take the user's emotions into consideration. This poses a problem that users are not necessarily able to obtain travel plans that satisfy them. Another problem is that the time and effort required for information gathering and plan creation during travel preparation is significant.

[0229] 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.

[0230] In this invention, the server includes a means for the terminal to collect and analyze the user's emotions in real time, a means for collecting information about travel destinations from the Internet, and a means for analyzing the collected information and identifying tourist spots that match the user's wishes and emotions. This makes it possible to generate an optimal travel plan that takes the user's emotions into consideration, allowing the user to easily create a travel plan that satisfies them.

[0231] "User" refers to an individual who uses the system to create a travel plan.

[0232] A "terminal" is a device operated by a user, which inputs travel preferences and interests and collects emotions in real time.

[0233] "Server" refers to the computer system that collects and analyzes data via the Internet and generates and provides travel plans.

[0234] "Emotion engine" refers to software that analyzes the user's facial expression data collected by the device and recognizes their emotional state.

[0235] A "travel plan" refers to a detailed travel itinerary that reflects the user's wishes and feelings.

[0236] "Data analysis algorithm" refers to a program that analyzes collected data and identifies information that meets a user's requirements.

[0237] "Internet data collection" refers to the process by which the server obtains data about travel destinations from multiple sources.

[0238] "Filtering" refers to the process of selecting information that meets specific conditions from analyzed data.

[0239] "Communication means" refers to the network infrastructure for sending and receiving data between the user's terminal and the server.

[0240] "Travel information site" refers to a website that provides information about tourist destinations and activities.

[0241] "API Request" refers to an operation that retrieves data through an application program interface.

[0242] "Web scraping" refers to the technique of extracting data from websites.

[0243] MODE FOR CARRYING OUT THE INVENTION

[0244] This invention relates to a system that generates personalized travel plans by taking into consideration the user's emotions when providing optimal travel plans based on the user's travel wishes and interests. This system is composed of a terminal operated by the user, a server that collects and analyzes information, an emotion engine that recognizes the user's emotions, and communication means that connect these.

[0245] System configuration

[0246] Terminal operated by the user

[0247] Users input their travel preferences and interests through the device. The device is equipped with a facial recognition camera or sensor, which allows for real-time analysis of the user's emotions. Specifically, users log in to the device's interface and enter specific requests, such as "I want to go to a place with lots of nature" or "I want to visit historical sites," using text input or multiple-choice options. They also input additional options such as their budget, number of days to stay, and desired travel period.

[0248] Server that collects and analyzes information

[0249] The server collects travel data from multiple sources via the network, using API requests and web scraping technology to obtain information from travel information websites, Japan Tourism Agency databases, blog posts, review sites, etc. The collected data is stored in the server's database.

[0250] The server stores the collected data in a database and uses a text analysis algorithm to filter information that matches the user's preferences. Specifically, tourist destinations such as Mount Fuji, Yakushima, and Hokkaido are extracted based on the criteria of "natural scenery." The server also takes into account the user's emotional data analyzed by an emotion engine. If the user shows a happy expression, this emotional data is incorporated into the analysis as a positive factor, and tourist destinations that match the user's emotions are preferentially filtered.

[0251] Emotion Engine

[0252] The emotion engine analyzes the user's facial expression data sent from the device and recognizes their emotional state. This emotion data is sent to the server, and if the user appears to be having fun, it is used as reference information for generating a positive travel plan.

[0253] Generate and provide travel plans

[0254] The server generates a specific travel plan based on the analysis results. Based on the user's input and emotional data, it creates a daily itinerary that combines the best sightseeing spots and activities. The plan includes access methods, admission fees, business information, recommended sightseeing routes, and more for each tourist spot.

[0255] Specific operation example

[0256] For example, if a user enters "I want to go to a place with lots of nature," has a budget of 100,000 yen, plans to stay for three days, and has a happy expression on their face when entering the information, the following plan will be generated:

[0257] Day 1: Climbing Mount Fuji

[0258] Day 2: Fuji Five Lakes Sightseeing

[0259] Day 3: Relax at Lake Yamanaka

[0260] Prompt Sentence Examples

[0261] An example prompt is:

[0262] "Generate the optimal travel plan based on the following criteria: user input is "I want to go to a place with lots of nature," emotion is smiling, budget is 100,000 yen, and number of days to stay is 3 days."

[0263] Using this prompt, the generative AI model can suggest optimal travel plans based on the user's input and sentiment.

[0264] Providing travel plans

[0265] The generated travel plan is sent to the terminal, which displays it to the user. The user can review the displayed plan and make modifications or selections. The user's feelings when reviewing the plan are also analyzed again, and a new plan is proposed if necessary. The finalized plan is sent back to the server and confirmed.

[0266] This system allows users to easily create efficient and satisfying travel plans that take into account their desires and emotions, significantly reducing the time and effort spent on travel planning and providing a more fulfilling travel experience.

[0267] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0268] Step 1:

[0269] The user enters their travel preferences and interests.

[0270] Input: Travel wishes and interests, budget, number of days to stay, desired travel time

[0271] How it works: A user logs into the device interface and enters a request, such as "I want to go to a place with lots of nature," along with additional options such as budget, number of days to stay, and travel time.

[0272] Output: User input data

[0273] Step 2:

[0274] The terminal sends the user's input to the server.

[0275] Input: User input data (travel wishes and interests, budget, length of stay, desired travel time)

[0276] Operation: The terminal uses a communication means to send data entered by the user to the server.

[0277] Output: User input data sent to the server

[0278] Step 3:

[0279] The device collects and analyzes the user's emotions in real time.

[0280] Input: User's facial expression data (collected in real time)

[0281] How it works: The device's built-in camera and sensors capture the user's facial expressions and send the data to the emotion engine, which analyzes the facial expression data and identifies the user's emotional state.

[0282] Output: Parsed user's emotional state

[0283] Step 4:

[0284] A server collects information about travel destinations from the Internet.

[0285] Input: User input data, emotion data

[0286] How it works: The server sends API requests to travel information websites and tourism agency databases, and uses web scraping technology to collect information about travel destinations.

[0287] Output: Collected travel destination data

[0288] Step 5:

[0289] The server analyzes the collected information and identifies tourist destinations that match the user's desires and feelings.

[0290] Input: collected travel destination data, user input data, emotion data

[0291] How it works: The server uses text analysis algorithms to analyze travel destination data and extract tourist spots that match the user's criteria. It also incorporates emotion data into the analysis and sets priorities based on emotion.

[0292] Output: Identified tourist destinations based on user's wishes and feelings

[0293] Step 6:

[0294] The server generates an optimal travel plan based on the analysis results.

[0295] Input: Identified tourist spots, user input data, emotion data

[0296] How it works: The server generates a daily itinerary based on the identified tourist spots, matching the user's preferences. The itinerary includes access methods, admission fees, business information, and recommended sightseeing routes.

[0297] Output: Generated itinerary

[0298] Step 7:

[0299] The generated travel plan is sent to the terminal and displayed.

[0300] Input: Generated itinerary

[0301] Operation: The server sends the generated travel plan to the terminal, which displays the plan to the user. The user can review the plan and make corrections or selections as necessary.

[0302] Output: A displayed itinerary

[0303] Step 8:

[0304] The terminal sends the revised plan to the server, and the finalized plan is confirmed.

[0305] Input: Plan modified by user

[0306] Operation: If the user checks the displayed plan and makes any changes or modifications, the device sends them to the server, which then confirms the finalized plan.

[0307] Output: Finalized itinerary

[0308] (Application example 2)

[0309] 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."

[0310] Although conventional travel plan creation systems reflect the user's wishes and interests, they are unable to consider the user's emotions, and the resulting travel plans may not match the user's actual satisfaction. Therefore, there is a need for a means to generate more detailed and personalized plans that will provide users with emotional satisfaction when making travel plans.

[0311] The specification process 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 a means for the user to input travel wishes and interests, a means for the terminal to send the user's input to the server, a means for the server to collect information about travel destinations from the Internet, a means for the server to analyze the collected information and identify tourist spots that match the user's wishes, a means for the server to generate an optimal travel plan based on the analysis results, a means for sending the generated travel plan to the terminal and displaying it, a means for recognizing the user's emotions with a camera built into the terminal and sending it to the server, and a means for analyzing the emotion data and reflecting it in the generated travel plan. This makes it possible to generate a more personalized travel plan that takes the user's emotions into consideration, thereby improving user satisfaction.

[0312] - "User" refers to an individual who wishes to use the System to create a travel plan.

[0313] "Means for inputting preferences and interests" refers to an interface that allows users to input their travel preferences and interests by text input or by selecting options.

[0314] "Terminal" refers to an electronic device operated by a user, such as a smartphone or tablet.

[0315] "Server" refers to a central processing unit that collects, analyzes, and stores data via a network.

[0316] "Means of collecting information about travel destinations from the Internet" refers to the method by which the server obtains travel information using web APIs or web scraping technology.

[0317] "Means of analyzing and identifying tourist destinations that match the user's preferences" refers to a method of filtering collected information using text analysis algorithms, etc., and selecting the most suitable tourist destinations based on the user's input.

[0318] "Means for generating optimal travel plans" refers to a method for creating travel plans by combining travel destinations and activities based on the analysis results.

[0319] "Means for sending the generated travel plan to the terminal and displaying it" refers to a communication and display method for sending the travel plan generated by the server to the user's terminal and displaying its contents on the screen.

[0320] "Means for recognizing the user's emotions using a camera and transmitting them to a server" refers to a method of capturing the user's facial expressions using a camera built into the device, analyzing them with an emotion recognition engine, and transmitting the emotional data to a server.

[0321] "Means for analyzing emotional data and reflecting it in the generated travel plan" refers to a method for adjusting the contents of the travel plan based on the emotional data of the user obtained from the emotion recognition engine.

[0322] A system embodying the invention operates in the following steps.

[0323] First, the user inputs their travel preferences and interests. Using a device (such as a smartphone or tablet), the user inputs information such as their travel preferences, specific tourist spots, budget, and number of days to stay by text input or selection method. For example, the user might input, "I want to go to a place with lots of nature."

[0324] The device then sends the user's input directly to the server, using an internet connection to send the information in real time. The server then uses the received information to collect data about each travel destination from the internet. Specifically, it uses techniques such as API requests and web scraping to obtain the necessary information from travel information websites, review sites, and Japan Tourism Agency databases.

[0325] The collected data is stored on a server and analyzed. This analysis uses natural language processing (NLP) models and text mining technology to identify tourist destinations that match the user's preferences. For example, if the keyword "natural scenery" is included, mountainous areas and lakes will be filtered out. In addition, an emotion recognition engine (EmotionEngine) is used to recognize and collect emotion data from the user's facial expression data captured by the device's camera. This emotion data is added to the analysis and influences the specific travel plan.

[0326] The server then generates an optimal travel plan based on the user's preferences and emotional data. For example, if the user smiles and inputs "I want to go to a place with lots of nature," the plan might include the following daily itineraries:

[0327] Day 1: Mountain hiking

[0328] Day 2: Lakeside picnic

[0329] Day 3: Bird watching in the nature reserve

[0330] The generated travel plan is sent to the device and displayed on the user's screen. The user can review the displayed plan and modify it as necessary. Furthermore, the user's emotions may be analyzed again while reviewing the travel plan, and new suggestions may be made.

[0331] The specific hardware used includes a camera on the user device, a network connection for the server, and a series of data analysis servers, while the software uses emotion recognition libraries (e.g., OpenCV), natural language processing models (NLP models), web scraping technology, and travel information collection APIs.

[0332] Examples of prompts:

[0333] "If a user types in 'I want to go to a place with lots of nature' and has a smile on their face."

[0334] "Their budget is 100,000 yen, and they plan to stay for three days, and their expressions are full of anticipation."

[0335] This allows the system to provide more satisfying travel plans that fully consider the user's wishes and feelings.

[0336] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0337] Step 1:

[0338] The user inputs their travel preferences and interests. Specifically, the user uses a device (smartphone or tablet) to input their travel preferences in text input or as a selection option. They provide information such as "I want to go to a place with lots of nature," "My budget is 100,000 yen," and "I will stay for three days." The input data is saved as text data on the device.

[0339] Step 2:

[0340] The device sends the user's input data to the server. The device then sends the user's input to the server in real time via an internet connection. This process allows the server to receive the user's travel preference data. Specific data formats include JSON.

[0341] Step 3:

[0342] The server collects information about travel destinations from the Internet. The server uses API requests and web scraping techniques to obtain relevant data from travel information websites, review websites, and tourism agency databases. The collected data is then stored in a database.

[0343] Step 4:

[0344] The server analyzes the collected information and identifies tourist destinations that match the user's preferences. Using natural language processing (NLP) models, the server analyzes the travel destination data and filters tourist destinations that match the user's input. If the keyword "natural scenery" is included, mountain ranges, lakes, etc. will be listed. The input data is filtered through an analysis algorithm to generate a list of specific tourist destinations.

[0345] Step 5:

[0346] The device's camera captures the user's emotions. The camera captures the user's facial expressions in real time and saves them as image data on the device. This allows the user's emotional data to be collected.

[0347] Step 6:

[0348] The device transmits the captured emotion data to the server. Using an emotion recognition engine (EmotionEngine), the device analyzes the emotion data and transmits the user's current emotional state (e.g., joy, surprise) to the server. The analysis results are converted into text-format emotion data and uploaded to the server.

[0349] Step 7:

[0350] The server generates an optimal travel plan based on the analysis results. The server integrates the user's desired data and emotional data, and creates a specific travel plan using an AI generation model (NLP model). The plan includes a daily itinerary and details tourist spots, access methods, entrance fees, business information, etc. The generated travel plan is saved as a digital document.

[0351] Step 8:

[0352] The server sends the generated itinerary to the device and displays it. The server then sends the optimized itinerary to the user's device, which displays it. The user can review and modify the itinerary. The itinerary is displayed in an interactive format, and the UI / UX design provides an easy-to-use interface.

[0353] Step 9:

[0354] The emotions of the user when checking the travel plan are analyzed again. The emotion capture performed with the device's camera is performed again and the data is sent to the server. The server reanalyzes the emotion data and re-proposes a travel plan if necessary. This maximizes the user's final satisfaction.

[0355] As a concrete example, if a user types "I want to go somewhere with lots of nature" and has a smile on their face, the generated itinerary might look like this:

[0356] Day 1: Mountain hiking

[0357] Day 2: Lakeside picnic

[0358] Day 3: Bird watching in the nature reserve

[0359] Examples of prompts:

[0360] "If a user types in 'I want to go to a place with lots of nature' and has a smile on their face."

[0361] "Their budget is 100,000 yen, and they plan to stay for three days, and their expressions are full of anticipation."

[0362] This allows for more personalized travel plans to be provided based on the user's wishes and feelings.

[0363] 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.

[0364] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (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.

[0365] 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.

[0366] [Second embodiment]

[0367] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0368] 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.

[0369] 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).

[0370] 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.

[0371] 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.

[0372] 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).

[0373] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0374] 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.

[0375] 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.

[0376] 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.

[0377] 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.

[0378] 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."

[0379] This invention relates to a system that allows users to input their travel preferences and interests and then provides optimal travel plans based on those inputs. This system consists of a terminal operated by the user, a server that collects and analyzes information, and a communication means that connects these.

[0380] System configuration and operation

[0381] 1. Collecting User Input

[0382] The user uses the device to input their travel preferences and interests, specifically the following information through the device interface:

[0383] Places you would like to visit or activities you would like to do (e.g., natural landscapes, historical sites, outdoor activities, etc.)

[0384] Travel budget and length of stay

[0385] Desired travel time and season

[0386] The device encodes this information in an appropriate format (e.g., JSON format) and sends it to the server.

[0387] 2. Data collection from the Internet

[0388] The server collects data from multiple sources over the network, including travel information websites, tourism agency databases, blog posts, review websites, etc. It uses API requests and web scraping techniques to obtain detailed information about each travel destination.

[0389] 3. Data Analysis

[0390] The server stores the collected data in a database in advance and uses a text analysis algorithm to filter information that matches the user's preferences. For example, if the keyword "natural scenery" is included, Mount Fuji, Yakushima, Hokkaido, etc. will be extracted.

[0391] The extracted information is then matched with other parameters such as the user's budget, length of stay, and season to identify the best candidate locations.

[0392] 4. Generate a travel plan

[0393] The server generates a specific itinerary based on the analysis results, including a daily itinerary with details such as:

[0394] How to access each tourist spot (transportation, travel time, etc.)

[0395] Business information for each tourist spot (opening hours, admission fees, etc.)

[0396] Recommended sightseeing routes and activities

[0397] As a concrete example, if a user inputs "I want to go to a place with lots of nature," with a budget of 100,000 yen and a stay of 3 days, the plan will be structured as follows:

[0398] Day 1: Climbing Mount Fuji

[0399] Day 2: Fuji Five Lakes Sightseeing

[0400] Day 3: Relax at Lake Yamanaka

[0401] 5. Providing travel plans

[0402] The generated travel plan is sent to the terminal, which displays it to the user. The user can check the displayed plan and make corrections or selections. The final plan is sent back to the server and confirmed.

[0403] This system allows users to easily obtain efficient and detailed travel plans that meet their needs, significantly reducing the time and effort spent on planning trips and enabling a more fulfilling travel experience.

[0404] The processing flow will be explained below.

[0405] Step 1:

[0406] Users input their travel preferences and interests. Specifically, they log in to the device interface and enter specific requests, such as "I want to go to a place with lots of nature" or "I want to visit historical sites," using text input or multiple-choice options. They also enter additional options, such as budget, number of days to stay, and desired travel period.

[0407] Step 2:

[0408] The device sends the user's input to the server, which then formats the information in a format such as JSON or XML and sends it to the server using a security protocol.

[0409] Step 3:

[0410] The server collects information about travel destinations from the Internet based on user input. The server calls multiple APIs to obtain data from travel information websites, tourism agency databases, travel-related blogs and review websites, and uses web scraping technology as needed to collect text and image data.

[0411] Step 4:

[0412] The server stores the collected data in a database, which is then saved as structured data containing detailed information about each tourist destination, such as its location, access method, opening hours, popularity, and reviews.

[0413] Step 5:

[0414] The server analyzes the collected data. It uses natural language processing (NLP) algorithms to match the collected data with the user's preferences. For example, if the keyword "nature" is included, tourist destinations such as Mount Fuji, Yakushima, and Hokkaido will be extracted as candidates. Filtering is also performed to select candidate destinations that fit the user's budget and length of stay.

[0415] Step 6:

[0416] The server generates a specific travel plan based on the analysis results. Based on the user's input, it creates a daily itinerary that combines the best sightseeing spots and activities. The plan includes information such as how to access each tourist spot, admission fees, business hours, and recommended sightseeing routes.

[0417] Step 7:

[0418] The server sends the generated travel plan to the device, where it is again formatted in JSON or XML format and sent to the device.

[0419] Step 8:

[0420] The terminal receives the information from the server and presents it to the user. The terminal analyzes the received data and displays it in a user-friendly interface. The terminal also includes a function that allows the user to check the details of the proposed plan and request revisions if necessary.

[0421] Step 9:

[0422] The user reviews the proposed plan and makes a final decision. The user selects from the multiple travel plans presented and decides on the final itinerary. After reviewing, the device sends this information to the server and finalizes the plan.

[0423] Through these steps, the user can easily create an efficient and satisfying travel plan.

[0424] Example 1

[0425] 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."

[0426] In today's busy lifestyles, it is extremely difficult for users to efficiently create travel plans that match their desires and interests. Collecting information about travel destinations and creating detailed itineraries is particularly time-consuming and labor-intensive, placing a significant burden on users. Furthermore, to prevent problems users may encounter during their trip, they need to know detailed access and sales information in advance. Therefore, there is a need for a system that can efficiently and quickly solve these problems.

[0427] 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.

[0428] In this invention, the server includes means for analyzing the collected information and identifying travel destinations that match the user's preferences, means for generating a detailed travel plan including a daily itinerary based on the analysis results, and means for transmitting the generated travel plan to a terminal and displaying it, thereby enabling the user to easily create an efficient and detailed travel plan that meets their preferences.

[0429] "User" refers to an entity that inputs travel wishes and interests through the system and receives travel plans.

[0430] "Terminal" refers to a device that allows a user to input travel preferences and interests and transmit them to a server. Examples include PCs, smartphones, and tablets.

[0431] "Server" refers to a device that receives information sent by users, collects, analyzes, and stores information about travel destinations via the Internet, and generates and provides optimal travel plans.

[0432] "Information collection" refers to the process by which a server acquires data about travel destinations via a network, including data acquisition from travel information websites and databases of the Japan Tourism Agency.

[0433] "Analysis" refers to the process by which the server categorizes and filters the collected information based on the user's preferences to identify suitable travel destinations.

[0434] "Travel plan" refers to a detailed travel itinerary generated by the server based on the user's wishes and conditions. Specifically, it includes information such as how to access each tourist spot, business information, and recommended routes.

[0435] "Access information" refers to information necessary for a user to travel to a travel destination, such as transportation means and travel time to the travel destination.

[0436] "Business information" refers to detailed information that users need when visiting tourist attractions and facilities, such as opening hours and admission fees.

[0437] A "prompt" is an instruction statement that is input into a generative AI model to obtain requested information or data.

[0438] "Detailed information" refers to all information necessary to support travel planning, such as access information, business information, and tourist routes for potential travel destinations.

[0439] This invention is a system that provides optimal travel plans based on users' input of their travel preferences and interests. To implement this system, a terminal operated by the user, a server that collects and analyzes information, and a communication means to connect these are required.

[0440] First, the user inputs their travel preferences and interests through the device, such as the places they want to visit, the activities they want to do, their travel budget, the number of days they want to stay, and the time of travel. The information entered through the device interface is encoded in an appropriate format (e.g., JSON format) and sent to the server.

[0441] Next, the server collects data from multiple sources via the network. These sources include travel information websites, tourism agency databases, blog posts, and review websites. Specifically, the data is obtained using web scraping tools such as Python's BeautifulSoup or Scrapy, or using APIs such as the Google Places API or Tripadvisor API. The collected data is stored in a database such as MongoDB.

[0442] The server analyzes the collected data using a text analysis algorithm (such as Python's NLTK or spaCy) to extract travel destination information that matches the user's preferences. For example, if the keyword "natural scenery" is included, information on Mount Fuji, Yakushima, Hokkaido, etc. will be extracted. The data is then compared with the user's budget, length of stay, and seasonal parameters to narrow down the optimal travel destinations.

[0443] Based on the analysis results, the server generates a detailed travel plan, including daily itineraries, how to access each tourist spot (transportation means, travel time, etc.), business information (opening hours, admission fees, etc.), recommended sightseeing routes and activities.

[0444] For example, if a user inputs "I want to go to a place with lots of nature," "My budget is 100,000 yen," "I want to stay for 3 days," and "I want to travel in the fall," the generated plan will look like this:

[0445] Day 1: Climb Mount Fuji (Transportation: Shinkansen and bus, Travel time: 5 hours, Opening hours: 8:00 AM - 5:00 PM, Admission fee: Free)

[0446] Day 2: Sightseeing around the Fuji Five Lakes (Transportation: Bus; Travel Time: 1 hour; Major Sightseeing Spots: Lake Kawaguchi and Lake Yamanaka; Opening Hours: Regular; Admission Fee: Free or Varies by Location)

[0447] Day 3: Relax at Lake Yamanaka (Transportation: Bus; Travel Time: 1 hour; Activities: Boating, Hiking, Hot Springs)

[0448] The generated travel plan is sent from the server to the terminal and displayed to the user. The user can check the displayed plan and make corrections or selections as necessary. The finalized plan is sent back to the server and confirmed.

[0449] This system allows users to easily obtain an efficient and detailed travel plan that matches their needs. An example of a specific prompt sentence is, "Please tell me a travel plan that focuses on natural scenery, has a budget of 100,000 yen, and lasts for three days. The time is autumn.", and an appropriate travel plan is generated.

[0450] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0451] Step 1: Collecting User Input

[0452] The user uses the device to input their travel preferences and interests. Specifically, they input the places they want to visit, the activities they want to do, their travel budget, the number of days they want to stay, the time they want to travel, etc. through the interface. The device encodes this information in JSON format and sends it to the server. The input is the user's preferences, and the output is the encoded JSON format data sent to the server.

[0453] Step 2: Collecting data from the internet

[0454] The server collects data about travel destinations from multiple sources via the network. Specifically, it uses API requests and web scraping technology to obtain data from travel information websites, Japan Tourism Agency databases, blog articles, review sites, etc. The input is a query to collect information, and the output is the obtained data about travel destinations, which is stored in a database on the server.

[0455] Step 3: Data analysis

[0456] The server analyzes the collected data using text analysis algorithms. Specifically, it uses Python libraries such as NLTK and spaCy to extract travel destination information that matches the user's preferences. Information containing keywords such as "natural scenery" is filtered and compared with the user's budget, length of stay, and season. The input is data about travel destinations and the user's desired information, and the output is travel destinations that match the user's criteria.

[0457] Step 4: Generate your travel plan

[0458] The server generates a specific travel plan based on the analysis results. This plan includes daily itineraries, how to access tourist spots, business information (opening hours, admission fees, etc.), recommended sightseeing routes and activities. The input is filtered travel destination information, and the output is a detailed travel plan. For example, if the user inputs "a trip focusing on natural scenery," "a budget of 100,000 yen," "a three-day stay," and "a trip in autumn," the following plan will be generated:

[0459] Day 1: Climb Mount Fuji (Transportation: Shinkansen and bus, Travel time: 5 hours, Opening hours: 8:00 AM - 5:00 PM, Admission fee: Free)

[0460] Day 2: Sightseeing around the Fuji Five Lakes (Transportation: Bus; Travel Time: 1 hour; Major Sightseeing Spots: Lake Kawaguchi and Lake Yamanaka; Opening Hours: Regular; Admission Fee: Free or Varies by Location)

[0461] Day 3: Relax at Lake Yamanaka (Transportation: Bus; Travel Time: 1 hour; Activities: Boating, Hiking, Hot Springs)

[0462] Step 5: Provide your travel plan

[0463] The generated travel plan is sent from the server to the terminal and displayed to the user. The user can check the displayed plan and make corrections or selections as necessary. The finalized plan is sent back to the server and confirmed. The input is the generated travel plan, and the output is the plan displayed to the user and the user's selections and modifications sent to the server.

[0464] (Application example 1)

[0465] 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."

[0466] When planning a trip, users need to gather a lot of information and select the best travel plan from it. However, this process is time-consuming and laborious, and it is very difficult to gather information, especially about places you are visiting for the first time or areas you are unfamiliar with. In addition, there are limited ways to confirm in advance whether the planned destinations and activities actually meet your needs, which can lead to low travel satisfaction.

[0467] 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.

[0468] In this invention, the server includes a means for a user to input travel wishes and interests, a means for a terminal to transmit the user's input to the server, a means for the server to collect information about travel destinations from the Internet, a means for the server to analyze the collected information and identify tourist spots that match the user's wishes, a means for the server to generate an optimal travel plan based on the analysis results, a means for transmitting the generated travel plan to the terminal and displaying it, and a means for allowing the user to experience the generated travel plan in a virtual environment. This allows users to significantly reduce the time and effort required to plan a trip, and improve their satisfaction with their trip by experiencing travel destinations and activities that match their wishes in a virtual environment in advance.

[0469] "Means for users to input their travel wishes and interests" refers to an interface that allows users to input their travel wishes and interests via a terminal.

[0470] "Means for a terminal to transmit user input to a server" refers to a device that has the function of transmitting user input data to a server using a communication means.

[0471] "Means for the server to collect information about travel destinations from the Internet" refers to a system component that has the functionality to obtain data about travel destinations from multiple sources on the Internet.

[0472] "Means for analyzing the information collected by the server and identifying tourist destinations that match the user's preferences" refers to the function for analyzing collected travel information using text analysis algorithms, etc., and selecting tourist destinations that match the user's desired conditions.

[0473] "Means for the server to generate optimal travel plans based on the analysis results" refers to a function that automatically creates specific travel plans, including daily itineraries and access methods, based on identified tourist destinations.

[0474] "Means for transmitting the generated travel plan to the terminal and displaying it" refers to a function for transmitting the travel plan generated by the server to the terminal operated by the user and displaying it.

[0475] "Means for allowing users to experience in a virtual environment" refers to a function that allows users to experience part or all of the generated travel plan in a virtual reality (VR) environment through smart glasses, a head-mounted display, etc.

[0476] "A means to allow users to experience filtered travel destinations in a virtual environment in advance" refers to a function that uses virtual reality (VR) technology to simulate specific travel destinations selected based on the user's desired conditions in advance, allowing the user to experience them.

[0477] "Means for recreating the selected travel plan in a virtual environment and conducting a pre-simulation" refers to a function that uses virtual reality (VR) technology to recreate the contents of the specific travel plan selected by the user and conduct a simulation before the trip begins.

[0478] This invention relates to a system that allows users to input their travel preferences and interests and then provides optimal travel plans based on those inputs. This system consists of a terminal operated by the user, a server that collects and analyzes information, and a communication means that connects these.

[0479] 1. Collecting User Input

[0480] Users input their travel preferences and interests using a device such as a smartphone or PC. Specifically, they input the following information through the device's interface:

[0481] Places you would like to visit or activities you would like to do (e.g., natural landscapes, historical sites, outdoor activities, etc.)

[0482] Travel budget and length of stay

[0483] Desired travel time and season

[0484] This information is encoded into an appropriate format (e.g., JSON format) on the terminal side and sent to the server.

[0485] 2. Data collection from the Internet

[0486] The server collects data from multiple sources over the Internet, including travel information websites, tourism agency databases, blog posts, review sites, etc. Using API requests and web scraping techniques, it retrieves detailed information about each travel destination and stores it in a database.

[0487] 3. Data Analysis

[0488] The server uses a text analysis algorithm to filter information that matches the user's preferences based on the collected data. For example, if the keyword "natural scenery" is included, Mount Fuji, Yakushima, Hokkaido, etc. will be extracted. The extracted information is then compared with other parameters such as the user's budget, length of stay, and season to select the most suitable candidate locations.

[0489] 4. Generate a travel plan

[0490] Based on the analysis, the server generates a detailed travel plan with a daily itinerary, including details such as:

[0491] How to access each tourist spot (transportation, travel time, etc.)

[0492] Business information for each tourist spot (opening hours, admission fees, etc.)

[0493] Recommended sightseeing routes and activities

[0494] 5. Providing travel plans

[0495] The generated travel plan is sent to the terminal, which displays it to the user. The user can review the displayed plan and make corrections or selections as necessary. In addition, it is possible to experience the generated travel plan in advance using virtual reality (VR) technology.

[0496] Specific examples

[0497] For example, if a user inputs "I want to go to a place with lots of nature," with a budget of 100,000 yen and a stay of 3 days, the plan will be configured as follows:

[0498] Day 1: Climbing Mount Fuji

[0499] Day 2: Fuji Five Lakes Sightseeing

[0500] Day 3: Relax at Lake Yamanaka

[0501] Based on this plan, users can experience part or all of this journey in a virtual environment using smart glasses or a head-mounted display.

[0502] Prompt Sentence Examples

[0503] User input prompt:

[0504] Enter your desired travel destination (keywords: natural scenery, historical sites, outdoor activities, etc.): Natural scenery

[0505] Enter your travel budget: 100000

[0506] Enter number of nights: 3

[0507] Please enter your preferred travel period: Summer

[0508] Generated AI prompt:

[0509] Based on the user's desired "natural scenery," generate an optimal travel plan for a budget of 100,000 yen, a stay of 3 days, and the summer season. For each day, suggest places with abundant nature, such as Mt. Fuji, Yakushima, and Hokkaido, and include access methods, travel time, and recommended activities for each destination.

[0510] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0511] Step 1:

[0512] Users input their travel preferences and interests. Using a smartphone or PC interface, users input specific criteria such as desired destination, budget, length of stay, and desired travel time. The input data is encoded in JSON format and stored internally on the device for later processing.

[0513] Step 2:

[0514] The device sends the user's input data to the server. The device then sends the encoded JSON data to the server via the Internet. Specifically, the data is sent using an HTTP request, and the server receives the request.

[0515] Step 3:

[0516] The server collects information about travel destinations from the Internet. The server uses API requests and web scraping technology to obtain data from multiple sources, such as travel information websites and Japan Tourism Agency databases. The obtained data is stored in a database within the server.

[0517] Step 4:

[0518] The server analyzes the collected data and identifies tourist destinations that match the user's preferences. The server uses a text analysis algorithm to filter the collected data for information that matches the user's desired conditions. For example, if the user requests "natural scenery," tourist destinations that match that condition will be extracted.

[0519] Step 5:

[0520] The server generates an optimal travel plan based on the analysis results. For the identified tourist destinations, the server automatically generates a specific travel plan including daily schedules, access methods, business information, etc. The generated plan is encoded in JSON format and stored for the next step.

[0521] Step 6:

[0522] The generated travel plan is sent to the terminal and displayed. The server sends the generated travel plan to the terminal again via an HTTP request, which the terminal receives and displays to the user. The user can check the proposed plan and make corrections or selections as necessary.

[0523] Step 7:

[0524] The generated travel plan is then experienced by the user in a virtual environment. Using smart glasses or a head-mounted display, the user can simulate part or all of the travel plan in a virtual reality (VR) environment. Specifically, 3D visualization based on the plan is generated, allowing the user to experience virtual sightseeing.

[0525] 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.

[0526] This invention relates to a system that generates personalized travel plans by taking into consideration the user's emotions when providing optimal travel plans based on the user's travel wishes and interests. This system is composed of a terminal operated by the user, a server that collects and analyzes information, an emotion engine that recognizes the user's emotions, and communication means that connect these.

[0527] System configuration and operation

[0528] 1. Collecting User Input

[0529] Users use their devices to input their travel preferences and interests. Specifically, they log into the device's interface and enter specific requests, such as "I want to go to a place with lots of nature" or "I want to visit historical sites," using text input or a selection method. They also enter additional options, such as their budget, number of days to stay, and desired travel period.

[0530] In addition, the device is equipped with a facial recognition camera or sensor, which allows the emotion engine to analyze the user's emotions in real time. For example, if the user is smiling while typing, the emotion engine will recognize the situation as joy.

[0531] 2. Data collection from the Internet

[0532] The server collects data from multiple sources over the network, including travel information websites, tourism agency databases, blog posts, review websites, etc. It uses API requests and web scraping techniques to obtain detailed information about each travel destination.

[0533] 3. Data Analysis

[0534] The server stores the collected data in a database and uses a text analysis algorithm to filter information that matches the user's preferences. For example, if the keyword "natural landscape" is included, Mount Fuji, Yakushima, Hokkaido, etc. will be extracted.

[0535] The system also takes into account the user's emotional data analyzed by the emotion engine. For example, if the user has an expectant expression, this emotional data is incorporated into the analysis as a positive factor, and tourist spots that match the user's emotions are preferentially filtered.

[0536] 4. Generate a travel plan

[0537] The server generates a specific travel plan based on the analysis results. Based on the user's input and emotional data, it creates a daily itinerary that combines the best sightseeing spots and activities. The plan includes access methods, admission fees, business information, recommended sightseeing routes, and more for each tourist spot.

[0538] For example, if a user enters "I want to go to a place with lots of nature," has a budget of 100,000 yen, plans to stay for three days, and has a happy expression on their face when entering the information, the plan will be constructed as follows:

[0539] Day 1: Climbing Mount Fuji

[0540] Day 2: Fuji Five Lakes Sightseeing

[0541] Day 3: Relax at Lake Yamanaka

[0542] 5. Providing travel plans

[0543] The generated travel plan is sent to the terminal, which displays it to the user. The user can review the displayed plan and make modifications or selections. The user's feelings when reviewing the plan are also analyzed again, and a new plan is proposed if necessary. The final plan is sent back to the server and confirmed.

[0544] This system allows users to easily create efficient and satisfying travel plans that take into account their desires and emotions, significantly reducing the time and effort spent on travel planning and providing a more fulfilling travel experience.

[0545] The processing flow will be explained below.

[0546] Step 1:

[0547] The user enters their travel preferences and interests. They access the device's interface and input their travel preferences, such as "I want to go to a place with lots of nature" or "I want to visit historical sites," using text input or multiple-choice options. They also input detailed options such as their budget, number of days to stay, and the time of their trip.

[0548] Step 2:

[0549] The device uses a facial recognition camera or sensor to capture the user's facial expression when the user inputs, and transmits it to the emotion engine in real time. The emotion engine analyzes the user's facial expression and generates emotion data.

[0550] Step 3:

[0551] The terminal transmits the user's input data and emotion data to the server, and the input information is transmitted to the server using a secure protocol.

[0552] Step 4:

[0553] The server collects information about travel destinations from the Internet, using APIs and web scraping technology from multiple travel information websites, Japan Tourism Agency databases, travel blogs, review sites, etc.

[0554] Step 5:

[0555] The server stores the collected data in a database, which includes details such as the location of the tourist attraction, access information, opening hours, admission fees, and review ratings.

[0556] Step 6:

[0557] The server extracts the necessary information from the database and uses a text analysis algorithm to filter tourist spots that match the user's preferences. If the user requests "nature," tourist spots such as Mount Fuji and Yakushima will be extracted. Furthermore, the server references the analysis results of the emotion engine to prioritize tourist spots that match the user's emotions.

[0558] Step 7:

[0559] The server generates an optimal travel plan based on the analysis results and emotion data. The plan includes a daily itinerary, access methods for each tourist spot, admission fees, opening hours, and recommended sightseeing routes. For example, if the user has a happy expression and requests a nature trip, the plan will be constructed as follows:

[0560] Day 1: Climbing Mount Fuji

[0561] Day 2: Fuji Five Lakes Sightseeing

[0562] Day 3: Relax at Lake Yamanaka

[0563] Step 8:

[0564] The server sends the generated travel plan to the device, where it is reformatted and sent to the device using a secure protocol.

[0565] Step 9:

[0566] The device presents the travel plan from the server to the user. The user can check the displayed plan and make corrections or provide feedback as necessary. The device also captures the user's facial expression when giving feedback and evaluates it using the emotion engine.

[0567] Step 10:

[0568] The user finally checks and selects the proposed plan. The user decides on the best plan from the multiple proposed options and presses the confirm button. The device sends this information to the server and confirms the final plan.

[0569] Through these steps, users can create an efficient and comprehensive travel plan based on their own desires and feelings.

[0570] Example 2

[0571] 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."

[0572] Existing travel plan generation systems propose travel plans based on the user's basic wishes and requests, but it is difficult to provide plans that take the user's emotions into consideration. This poses a problem that users are not necessarily able to obtain travel plans that satisfy them. Another problem is that the time and effort required for information gathering and plan creation during travel preparation is significant.

[0573] 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.

[0574] In this invention, the server includes a means for the terminal to collect and analyze the user's emotions in real time, a means for collecting information about travel destinations from the Internet, and a means for analyzing the collected information and identifying tourist spots that match the user's wishes and emotions. This makes it possible to generate an optimal travel plan that takes the user's emotions into consideration, allowing the user to easily create a travel plan that satisfies them.

[0575] "User" refers to an individual who uses the system to create a travel plan.

[0576] A "terminal" is a device operated by a user, which inputs travel preferences and interests and collects emotions in real time.

[0577] "Server" refers to the computer system that collects and analyzes data via the Internet and generates and provides travel plans.

[0578] "Emotion engine" refers to software that analyzes the user's facial expression data collected by the device and recognizes their emotional state.

[0579] A "travel plan" refers to a detailed travel itinerary that reflects the user's wishes and feelings.

[0580] "Data analysis algorithm" refers to a program that analyzes collected data and identifies information that meets a user's requirements.

[0581] "Internet data collection" refers to the process by which the server obtains data about travel destinations from multiple sources.

[0582] "Filtering" refers to the process of selecting information that meets specific conditions from analyzed data.

[0583] "Communication means" refers to the network infrastructure for sending and receiving data between the user's terminal and the server.

[0584] "Travel information site" refers to a website that provides information about tourist destinations and activities.

[0585] "API Request" refers to an operation that retrieves data through an application program interface.

[0586] "Web scraping" refers to the technique of extracting data from websites.

[0587] MODE FOR CARRYING OUT THE INVENTION

[0588] This invention relates to a system that generates personalized travel plans by taking into consideration the user's emotions when providing optimal travel plans based on the user's travel wishes and interests. This system is composed of a terminal operated by the user, a server that collects and analyzes information, an emotion engine that recognizes the user's emotions, and communication means that connect these.

[0589] System configuration

[0590] Terminal operated by the user

[0591] Users input their travel preferences and interests through the device. The device is equipped with a facial recognition camera or sensor, which allows for real-time analysis of the user's emotions. Specifically, users log in to the device's interface and enter specific requests, such as "I want to go to a place with lots of nature" or "I want to visit historical sites," using text input or multiple-choice options. They also input additional options such as their budget, number of days to stay, and desired travel period.

[0592] Server that collects and analyzes information

[0593] The server collects travel data from multiple sources via the network, using API requests and web scraping technology to obtain information from travel information websites, Japan Tourism Agency databases, blog posts, review sites, etc. The collected data is stored in the server's database.

[0594] The server stores the collected data in a database and uses a text analysis algorithm to filter information that matches the user's preferences. Specifically, tourist destinations such as Mount Fuji, Yakushima, and Hokkaido are extracted based on the criteria of "natural scenery." The server also takes into account the user's emotional data analyzed by an emotion engine. If the user shows a happy expression, this emotional data is incorporated into the analysis as a positive factor, and tourist destinations that match the user's emotions are preferentially filtered.

[0595] Emotion Engine

[0596] The emotion engine analyzes the user's facial expression data sent from the device and recognizes their emotional state. This emotion data is sent to the server, and if the user appears to be having fun, it is used as reference information for generating a positive travel plan.

[0597] Generate and provide travel plans

[0598] The server generates a specific travel plan based on the analysis results. Based on the user's input and emotional data, it creates a daily itinerary that combines the best sightseeing spots and activities. The plan includes access methods, admission fees, business information, recommended sightseeing routes, and more for each tourist spot.

[0599] Specific operation example

[0600] For example, if a user enters "I want to go to a place with lots of nature," has a budget of 100,000 yen, plans to stay for three days, and has a happy expression on their face when entering the information, the following plan will be generated:

[0601] Day 1: Climbing Mount Fuji

[0602] Day 2: Fuji Five Lakes Sightseeing

[0603] Day 3: Relax at Lake Yamanaka

[0604] Prompt Sentence Examples

[0605] An example prompt is:

[0606] "Generate the optimal travel plan based on the following criteria: user input is "I want to go to a place with lots of nature," emotion is smiling, budget is 100,000 yen, and number of days to stay is 3 days."

[0607] Using this prompt, the generative AI model can suggest optimal travel plans based on the user's input and sentiment.

[0608] Providing travel plans

[0609] The generated travel plan is sent to the terminal, which displays it to the user. The user can review the displayed plan and make modifications or selections. The user's feelings when reviewing the plan are also analyzed again, and a new plan is proposed if necessary. The finalized plan is sent back to the server and confirmed.

[0610] This system allows users to easily create efficient and satisfying travel plans that take into account their desires and emotions, significantly reducing the time and effort spent on travel planning and providing a more fulfilling travel experience.

[0611] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0612] Step 1:

[0613] The user enters their travel preferences and interests.

[0614] Input: Travel wishes and interests, budget, number of days to stay, desired travel time

[0615] How it works: A user logs into the device interface and enters a request, such as "I want to go to a place with lots of nature," along with additional options such as budget, number of days to stay, and travel time.

[0616] Output: User input data

[0617] Step 2:

[0618] The terminal sends the user's input to the server.

[0619] Input: User input data (travel wishes and interests, budget, length of stay, desired travel time)

[0620] Operation: The terminal uses a communication means to send data entered by the user to the server.

[0621] Output: User input data sent to the server

[0622] Step 3:

[0623] The device collects and analyzes the user's emotions in real time.

[0624] Input: User's facial expression data (collected in real time)

[0625] How it works: The device's built-in camera and sensors capture the user's facial expressions and send the data to the emotion engine, which analyzes the facial expression data and identifies the user's emotional state.

[0626] Output: Parsed user's emotional state

[0627] Step 4:

[0628] A server collects information about travel destinations from the Internet.

[0629] Input: User input data, emotion data

[0630] How it works: The server sends API requests to travel information websites and tourism agency databases, and uses web scraping technology to collect information about travel destinations.

[0631] Output: Collected travel destination data

[0632] Step 5:

[0633] The server analyzes the collected information and identifies tourist destinations that match the user's desires and feelings.

[0634] Input: collected travel destination data, user input data, emotion data

[0635] How it works: The server uses text analysis algorithms to analyze travel destination data and extract tourist spots that match the user's criteria. It also incorporates emotion data into the analysis and sets priorities based on emotion.

[0636] Output: Identified tourist destinations based on user's wishes and feelings

[0637] Step 6:

[0638] The server generates an optimal travel plan based on the analysis results.

[0639] Input: Identified tourist spots, user input data, emotion data

[0640] How it works: The server generates a daily itinerary based on the identified tourist spots, matching the user's preferences. The itinerary includes access methods, admission fees, business information, and recommended sightseeing routes.

[0641] Output: Generated itinerary

[0642] Step 7:

[0643] The generated travel plan is sent to the terminal and displayed.

[0644] Input: Generated itinerary

[0645] Operation: The server sends the generated travel plan to the terminal, which displays the plan to the user. The user can review the plan and make corrections or selections as necessary.

[0646] Output: A displayed itinerary

[0647] Step 8:

[0648] The terminal sends the revised plan to the server, and the finalized plan is confirmed.

[0649] Input: Plan modified by user

[0650] Operation: If the user checks the displayed plan and makes any changes or modifications, the device sends them to the server, which then confirms the finalized plan.

[0651] Output: Finalized itinerary

[0652] (Application example 2)

[0653] 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."

[0654] Although conventional travel plan creation systems reflect the user's wishes and interests, they are unable to consider the user's emotions, and the resulting travel plans may not match the user's actual satisfaction. Therefore, there is a need for a means to generate more detailed and personalized plans that will provide users with emotional satisfaction when making travel plans.

[0655] The specification process 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 a means for the user to input travel wishes and interests, a means for the terminal to send the user's input to the server, a means for the server to collect information about travel destinations from the Internet, a means for the server to analyze the collected information and identify tourist spots that match the user's wishes, a means for the server to generate an optimal travel plan based on the analysis results, a means for sending the generated travel plan to the terminal and displaying it, a means for recognizing the user's emotions with a camera built into the terminal and sending it to the server, and a means for analyzing the emotion data and reflecting it in the generated travel plan. This makes it possible to generate a more personalized travel plan that takes the user's emotions into consideration, thereby improving user satisfaction.

[0656] - "User" refers to an individual who wishes to use the System to create a travel plan.

[0657] "Means for inputting preferences and interests" refers to an interface that allows users to input their travel preferences and interests by text input or by selecting options.

[0658] "Terminal" refers to an electronic device operated by a user, such as a smartphone or tablet.

[0659] "Server" refers to a central processing unit that collects, analyzes, and stores data via a network.

[0660] "Means of collecting information about travel destinations from the Internet" refers to the method by which the server obtains travel information using web APIs or web scraping technology.

[0661] "Means of analyzing and identifying tourist destinations that match the user's preferences" refers to a method of filtering collected information using text analysis algorithms, etc., and selecting the most suitable tourist destinations based on the user's input.

[0662] "Means for generating optimal travel plans" refers to a method for creating travel plans by combining travel destinations and activities based on the analysis results.

[0663] "Means for sending the generated travel plan to the terminal and displaying it" refers to a communication and display method for sending the travel plan generated by the server to the user's terminal and displaying its contents on the screen.

[0664] "Means for recognizing the user's emotions using a camera and transmitting them to a server" refers to a method of capturing the user's facial expressions using a camera built into the device, analyzing them with an emotion recognition engine, and transmitting the emotional data to a server.

[0665] "Means for analyzing emotional data and reflecting it in the generated travel plan" refers to a method for adjusting the contents of the travel plan based on the emotional data of the user obtained from the emotion recognition engine.

[0666] A system embodying the invention operates in the following steps.

[0667] First, the user inputs their travel preferences and interests. Using a device (such as a smartphone or tablet), the user inputs information such as their travel preferences, specific tourist spots, budget, and number of days to stay by text input or selection method. For example, the user might input, "I want to go to a place with lots of nature."

[0668] The device then sends the user's input directly to the server, using an internet connection to send the information in real time. The server then uses the received information to collect data about each travel destination from the internet. Specifically, it uses techniques such as API requests and web scraping to obtain the necessary information from travel information websites, review sites, and Japan Tourism Agency databases.

[0669] The collected data is stored on a server and analyzed. This analysis uses natural language processing (NLP) models and text mining technology to identify tourist destinations that match the user's preferences. For example, if the keyword "natural scenery" is included, mountainous areas and lakes will be filtered out. In addition, an emotion recognition engine (EmotionEngine) is used to recognize and collect emotion data from the user's facial expression data captured by the device's camera. This emotion data is added to the analysis and influences the specific travel plan.

[0670] The server then generates an optimal travel plan based on the user's preferences and emotional data. For example, if the user smiles and inputs "I want to go to a place with lots of nature," the plan might include the following daily itineraries:

[0671] Day 1: Mountain hiking

[0672] Day 2: Lakeside picnic

[0673] Day 3: Bird watching in the nature reserve

[0674] The generated travel plan is sent to the device and displayed on the user's screen. The user can review the displayed plan and modify it as necessary. Furthermore, the user's emotions may be analyzed again while reviewing the travel plan, and new suggestions may be made.

[0675] The specific hardware used includes a camera on the user device, a network connection for the server, and a series of data analysis servers, while the software uses emotion recognition libraries (e.g., OpenCV), natural language processing models (NLP models), web scraping technology, and travel information collection APIs.

[0676] Examples of prompts:

[0677] "If a user types in 'I want to go to a place with lots of nature' and has a smile on their face."

[0678] "Their budget is 100,000 yen, and they plan to stay for three days, and their expressions are full of anticipation."

[0679] This allows the system to provide more satisfying travel plans that fully consider the user's wishes and feelings.

[0680] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0681] Step 1:

[0682] The user inputs their travel preferences and interests. Specifically, the user uses a device (smartphone or tablet) to input their travel preferences in text input or as a selection option. They provide information such as "I want to go to a place with lots of nature," "My budget is 100,000 yen," and "I will stay for three days." The input data is saved as text data on the device.

[0683] Step 2:

[0684] The device sends the user's input data to the server. The device then sends the user's input to the server in real time via an internet connection. This process allows the server to receive the user's travel preference data. Specific data formats include JSON.

[0685] Step 3:

[0686] The server collects information about travel destinations from the Internet. The server uses API requests and web scraping techniques to obtain relevant data from travel information websites, review websites, and tourism agency databases. The collected data is then stored in a database.

[0687] Step 4:

[0688] The server analyzes the collected information and identifies tourist destinations that match the user's preferences. Using natural language processing (NLP) models, the server analyzes the travel destination data and filters tourist destinations that match the user's input. If the keyword "natural scenery" is included, mountain ranges, lakes, etc. will be listed. The input data is filtered through an analysis algorithm to generate a list of specific tourist destinations.

[0689] Step 5:

[0690] The device's camera captures the user's emotions. The camera captures the user's facial expressions in real time and saves them as image data on the device. This allows the user's emotional data to be collected.

[0691] Step 6:

[0692] The device transmits the captured emotion data to the server. Using an emotion recognition engine (EmotionEngine), the device analyzes the emotion data and transmits the user's current emotional state (e.g., joy, surprise) to the server. The analysis results are converted into text-format emotion data and uploaded to the server.

[0693] Step 7:

[0694] The server generates an optimal travel plan based on the analysis results. The server integrates the user's desired data and emotional data, and creates a specific travel plan using an AI generation model (NLP model). The plan includes a daily itinerary and details tourist spots, access methods, entrance fees, business information, etc. The generated travel plan is saved as a digital document.

[0695] Step 8:

[0696] The server sends the generated itinerary to the device and displays it. The server then sends the optimized itinerary to the user's device, which displays it. The user can review and modify the itinerary. The itinerary is displayed in an interactive format, and the UI / UX design provides an easy-to-use interface.

[0697] Step 9:

[0698] The emotions of the user when checking the travel plan are analyzed again. The emotion capture performed with the device's camera is performed again and the data is sent to the server. The server reanalyzes the emotion data and re-proposes a travel plan if necessary. This maximizes the user's final satisfaction.

[0699] As a concrete example, if a user types "I want to go somewhere with lots of nature" and has a smile on their face, the generated itinerary might look like this:

[0700] Day 1: Mountain hiking

[0701] Day 2: Lakeside picnic

[0702] Day 3: Bird watching in the nature reserve

[0703] Examples of prompts:

[0704] "If a user types in 'I want to go to a place with lots of nature' and has a smile on their face."

[0705] "Their budget is 100,000 yen, and they plan to stay for three days, and their expressions are full of anticipation."

[0706] This allows for more personalized travel plans to be provided based on the user's wishes and feelings.

[0707] 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.

[0708] 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.

[0709] 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.

[0710] [Third embodiment]

[0711] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0712] 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.

[0713] 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).

[0714] 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.

[0715] 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.

[0716] 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).

[0717] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0718] 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.

[0719] 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.

[0720] 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.

[0721] 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.

[0722] 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."

[0723] This invention relates to a system that allows users to input their travel preferences and interests and then provides optimal travel plans based on those inputs. This system consists of a terminal operated by the user, a server that collects and analyzes information, and a communication means that connects these.

[0724] System configuration and operation

[0725] 1. Collecting User Input

[0726] The user uses the device to input their travel preferences and interests, specifically the following information through the device interface:

[0727] Places you would like to visit or activities you would like to do (e.g., natural landscapes, historical sites, outdoor activities, etc.)

[0728] Travel budget and length of stay

[0729] Desired travel time and season

[0730] The device encodes this information in an appropriate format (e.g., JSON format) and sends it to the server.

[0731] 2. Data collection from the Internet

[0732] The server collects data from multiple sources over the network, including travel information websites, tourism agency databases, blog posts, review websites, etc. It uses API requests and web scraping techniques to obtain detailed information about each travel destination.

[0733] 3. Data Analysis

[0734] The server stores the collected data in a database in advance and uses a text analysis algorithm to filter information that matches the user's preferences. For example, if the keyword "natural scenery" is included, Mount Fuji, Yakushima, Hokkaido, etc. will be extracted.

[0735] The extracted information is then matched with other parameters such as the user's budget, length of stay, and season to identify the best candidate locations.

[0736] 4. Generate a travel plan

[0737] The server generates a specific itinerary based on the analysis results, including a daily itinerary with details such as:

[0738] How to access each tourist spot (transportation, travel time, etc.)

[0739] Business information for each tourist spot (opening hours, admission fees, etc.)

[0740] Recommended sightseeing routes and activities

[0741] As a concrete example, if a user inputs "I want to go to a place with lots of nature," with a budget of 100,000 yen and a stay of 3 days, the plan will be structured as follows:

[0742] Day 1: Climbing Mount Fuji

[0743] Day 2: Fuji Five Lakes Sightseeing

[0744] Day 3: Relax at Lake Yamanaka

[0745] 5. Providing travel plans

[0746] The generated travel plan is sent to the terminal, which displays it to the user. The user can check the displayed plan and make corrections or selections. The final plan is sent back to the server and confirmed.

[0747] This system allows users to easily obtain efficient and detailed travel plans that meet their needs, significantly reducing the time and effort spent on planning trips and enabling a more fulfilling travel experience.

[0748] The processing flow will be explained below.

[0749] Step 1:

[0750] Users input their travel preferences and interests. Specifically, they log in to the device interface and enter specific requests, such as "I want to go to a place with lots of nature" or "I want to visit historical sites," using text input or multiple-choice options. They also enter additional options, such as budget, number of days to stay, and desired travel period.

[0751] Step 2:

[0752] The device sends the user's input to the server, which then formats the information in a format such as JSON or XML and sends it to the server using a security protocol.

[0753] Step 3:

[0754] The server collects information about travel destinations from the Internet based on user input. The server calls multiple APIs to obtain data from travel information websites, tourism agency databases, travel-related blogs and review websites, and uses web scraping technology as needed to collect text and image data.

[0755] Step 4:

[0756] The server stores the collected data in a database, which is then saved as structured data containing detailed information about each tourist destination, such as its location, access method, opening hours, popularity, and reviews.

[0757] Step 5:

[0758] The server analyzes the collected data. It uses natural language processing (NLP) algorithms to match the collected data with the user's preferences. For example, if the keyword "nature" is included, tourist destinations such as Mount Fuji, Yakushima, and Hokkaido will be extracted as candidates. Filtering is also performed to select candidate destinations that fit the user's budget and length of stay.

[0759] Step 6:

[0760] The server generates a specific travel plan based on the analysis results. Based on the user's input, it creates a daily itinerary that combines the best sightseeing spots and activities. The plan includes information such as how to access each tourist spot, admission fees, business hours, and recommended sightseeing routes.

[0761] Step 7:

[0762] The server sends the generated travel plan to the device, where it is again formatted in JSON or XML format and sent to the device.

[0763] Step 8:

[0764] The terminal receives the information from the server and presents it to the user. The terminal analyzes the received data and displays it in a user-friendly interface. The terminal also includes a function that allows the user to check the details of the proposed plan and request revisions if necessary.

[0765] Step 9:

[0766] The user reviews the proposed plan and makes a final decision. The user selects from the multiple travel plans presented and decides on the final itinerary. After reviewing, the device sends this information to the server and finalizes the plan.

[0767] Through these steps, the user can easily create an efficient and satisfying travel plan.

[0768] Example 1

[0769] 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."

[0770] In today's busy lifestyles, it is extremely difficult for users to efficiently create travel plans that match their desires and interests. Collecting information about travel destinations and creating detailed itineraries is particularly time-consuming and labor-intensive, placing a significant burden on users. Furthermore, to prevent problems users may encounter during their trip, they need to know detailed access and sales information in advance. Therefore, there is a need for a system that can efficiently and quickly solve these problems.

[0771] 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.

[0772] In this invention, the server includes means for analyzing the collected information and identifying travel destinations that match the user's preferences, means for generating a detailed travel plan including a daily itinerary based on the analysis results, and means for transmitting the generated travel plan to a terminal and displaying it, thereby enabling the user to easily create an efficient and detailed travel plan that meets their preferences.

[0773] "User" refers to an entity that inputs travel wishes and interests through the system and receives travel plans.

[0774] "Terminal" refers to a device that allows a user to input travel preferences and interests and transmit them to a server. Examples include PCs, smartphones, and tablets.

[0775] "Server" refers to a device that receives information sent by users, collects, analyzes, and stores information about travel destinations via the Internet, and generates and provides optimal travel plans.

[0776] "Information collection" refers to the process by which a server acquires data about travel destinations via a network, including data acquisition from travel information websites and databases of the Japan Tourism Agency.

[0777] "Analysis" refers to the process by which the server categorizes and filters the collected information based on the user's preferences to identify suitable travel destinations.

[0778] "Travel plan" refers to a detailed travel itinerary generated by the server based on the user's wishes and conditions. Specifically, it includes information such as how to access each tourist spot, business information, and recommended routes.

[0779] "Access information" refers to information necessary for a user to travel to a travel destination, such as transportation means and travel time to the travel destination.

[0780] "Business information" refers to detailed information that users need when visiting tourist attractions and facilities, such as opening hours and admission fees.

[0781] A "prompt" is an instruction statement that is input into a generative AI model to obtain requested information or data.

[0782] "Detailed information" refers to all information necessary to support travel planning, such as access information, business information, and tourist routes for potential travel destinations.

[0783] This invention is a system that provides optimal travel plans based on users' input of their travel preferences and interests. To implement this system, a terminal operated by the user, a server that collects and analyzes information, and a communication means to connect these are required.

[0784] First, the user inputs their travel preferences and interests through the device, such as the places they want to visit, the activities they want to do, their travel budget, the number of days they want to stay, and the time of travel. The information entered through the device interface is encoded in an appropriate format (e.g., JSON format) and sent to the server.

[0785] Next, the server collects data from multiple sources via the network. These sources include travel information websites, tourism agency databases, blog posts, and review websites. Specifically, the data is obtained using web scraping tools such as Python's BeautifulSoup or Scrapy, or using APIs such as the Google Places API or Tripadvisor API. The collected data is stored in a database such as MongoDB.

[0786] The server analyzes the collected data using a text analysis algorithm (such as Python's NLTK or spaCy) to extract travel destination information that matches the user's preferences. For example, if the keyword "natural scenery" is included, information on Mount Fuji, Yakushima, Hokkaido, etc. will be extracted. The data is then compared with the user's budget, length of stay, and seasonal parameters to narrow down the optimal travel destinations.

[0787] Based on the analysis results, the server generates a detailed travel plan, including daily itineraries, how to access each tourist spot (transportation means, travel time, etc.), business information (opening hours, admission fees, etc.), recommended sightseeing routes and activities.

[0788] For example, if a user inputs "I want to go to a place with lots of nature," "My budget is 100,000 yen," "I want to stay for 3 days," and "I want to travel in the fall," the generated plan will look like this:

[0789] Day 1: Climb Mount Fuji (Transportation: Shinkansen and bus, Travel time: 5 hours, Opening hours: 8:00 AM - 5:00 PM, Admission fee: Free)

[0790] Day 2: Sightseeing around the Fuji Five Lakes (Transportation: Bus; Travel Time: 1 hour; Major Sightseeing Spots: Lake Kawaguchi and Lake Yamanaka; Opening Hours: Regular; Admission Fee: Free or Varies by Location)

[0791] Day 3: Relax at Lake Yamanaka (Transportation: Bus; Travel Time: 1 hour; Activities: Boating, Hiking, Hot Springs)

[0792] The generated travel plan is sent from the server to the terminal and displayed to the user. The user can check the displayed plan and make corrections or selections as necessary. The finalized plan is sent back to the server and confirmed.

[0793] This system allows users to easily obtain an efficient and detailed travel plan that matches their needs. An example of a specific prompt sentence is, "Please tell me a travel plan that focuses on natural scenery, has a budget of 100,000 yen, and lasts for three days. The time is autumn.", and an appropriate travel plan is generated.

[0794] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0795] Step 1: Collecting User Input

[0796] The user uses the device to input their travel preferences and interests. Specifically, they input the places they want to visit, the activities they want to do, their travel budget, the number of days they want to stay, the time they want to travel, etc. through the interface. The device encodes this information in JSON format and sends it to the server. The input is the user's preferences, and the output is the encoded JSON format data sent to the server.

[0797] Step 2: Collecting data from the internet

[0798] The server collects data about travel destinations from multiple sources via the network. Specifically, it uses API requests and web scraping technology to obtain data from travel information websites, Japan Tourism Agency databases, blog articles, review sites, etc. The input is a query to collect information, and the output is the obtained data about travel destinations, which is stored in a database on the server.

[0799] Step 3: Data analysis

[0800] The server analyzes the collected data using text analysis algorithms. Specifically, it uses Python libraries such as NLTK and spaCy to extract travel destination information that matches the user's preferences. Information containing keywords such as "natural scenery" is filtered and compared with the user's budget, length of stay, and season. The input is data about travel destinations and the user's desired information, and the output is travel destinations that match the user's criteria.

[0801] Step 4: Generate your travel plan

[0802] The server generates a specific travel plan based on the analysis results. This plan includes daily itineraries, how to access tourist spots, business information (opening hours, admission fees, etc.), recommended sightseeing routes and activities. The input is filtered travel destination information, and the output is a detailed travel plan. For example, if the user inputs "a trip focusing on natural scenery," "a budget of 100,000 yen," "a three-day stay," and "a trip in autumn," the following plan will be generated:

[0803] Day 1: Climb Mount Fuji (Transportation: Shinkansen and bus, Travel time: 5 hours, Opening hours: 8:00 AM - 5:00 PM, Admission fee: Free)

[0804] Day 2: Sightseeing around the Fuji Five Lakes (Transportation: Bus; Travel Time: 1 hour; Major Sightseeing Spots: Lake Kawaguchi and Lake Yamanaka; Opening Hours: Regular; Admission Fee: Free or Varies by Location)

[0805] Day 3: Relax at Lake Yamanaka (Transportation: Bus; Travel Time: 1 hour; Activities: Boating, Hiking, Hot Springs)

[0806] Step 5: Provide your travel plan

[0807] The generated travel plan is sent from the server to the terminal and displayed to the user. The user can check the displayed plan and make corrections or selections as necessary. The finalized plan is sent back to the server and confirmed. The input is the generated travel plan, and the output is the plan displayed to the user and the user's selections and modifications sent to the server.

[0808] (Application example 1)

[0809] 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."

[0810] When planning a trip, users need to gather a lot of information and select the best travel plan from it. However, this process is time-consuming and laborious, and it is very difficult to gather information, especially about places you are visiting for the first time or areas you are unfamiliar with. In addition, there are limited ways to confirm in advance whether the planned destinations and activities actually meet your needs, which can lead to low travel satisfaction.

[0811] 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.

[0812] In this invention, the server includes a means for a user to input travel wishes and interests, a means for a terminal to transmit the user's input to the server, a means for the server to collect information about travel destinations from the Internet, a means for the server to analyze the collected information and identify tourist spots that match the user's wishes, a means for the server to generate an optimal travel plan based on the analysis results, a means for transmitting the generated travel plan to the terminal and displaying it, and a means for allowing the user to experience the generated travel plan in a virtual environment. This allows users to significantly reduce the time and effort required to plan a trip, and improve their satisfaction with their trip by experiencing travel destinations and activities that match their wishes in a virtual environment in advance.

[0813] "Means for users to input their travel wishes and interests" refers to an interface that allows users to input their travel wishes and interests via a terminal.

[0814] "Means for a terminal to transmit user input to a server" refers to a device that has the function of transmitting user input data to a server using a communication means.

[0815] "Means for the server to collect information about travel destinations from the Internet" refers to a system component that has the functionality to obtain data about travel destinations from multiple sources on the Internet.

[0816] "Means for analyzing the information collected by the server and identifying tourist destinations that match the user's preferences" refers to the function for analyzing collected travel information using text analysis algorithms, etc., and selecting tourist destinations that match the user's desired conditions.

[0817] "Means for the server to generate optimal travel plans based on the analysis results" refers to a function that automatically creates specific travel plans, including daily itineraries and access methods, based on identified tourist destinations.

[0818] "Means for transmitting the generated travel plan to the terminal and displaying it" refers to a function for transmitting the travel plan generated by the server to the terminal operated by the user and displaying it.

[0819] "Means for allowing users to experience in a virtual environment" refers to a function that allows users to experience part or all of the generated travel plan in a virtual reality (VR) environment through smart glasses, a head-mounted display, etc.

[0820] "A means to allow users to experience filtered travel destinations in a virtual environment in advance" refers to a function that uses virtual reality (VR) technology to simulate specific travel destinations selected based on the user's desired conditions in advance, allowing the user to experience them.

[0821] "Means for recreating the selected travel plan in a virtual environment and conducting a pre-simulation" refers to a function that uses virtual reality (VR) technology to recreate the contents of the specific travel plan selected by the user and conduct a simulation before the trip begins.

[0822] This invention relates to a system that allows users to input their travel preferences and interests and then provides optimal travel plans based on those inputs. This system consists of a terminal operated by the user, a server that collects and analyzes information, and a communication means that connects these.

[0823] 1. Collecting User Input

[0824] Users input their travel preferences and interests using a device such as a smartphone or PC. Specifically, they input the following information through the device's interface:

[0825] Places you would like to visit or activities you would like to do (e.g., natural landscapes, historical sites, outdoor activities, etc.)

[0826] Travel budget and length of stay

[0827] Desired travel time and season

[0828] This information is encoded into an appropriate format (e.g., JSON format) on the terminal side and sent to the server.

[0829] 2. Data collection from the Internet

[0830] The server collects data from multiple sources over the Internet, including travel information websites, tourism agency databases, blog posts, review sites, etc. Using API requests and web scraping techniques, it retrieves detailed information about each travel destination and stores it in a database.

[0831] 3. Data Analysis

[0832] The server uses a text analysis algorithm to filter information that matches the user's preferences based on the collected data. For example, if the keyword "natural scenery" is included, Mount Fuji, Yakushima, Hokkaido, etc. will be extracted. The extracted information is then compared with other parameters such as the user's budget, length of stay, and season to select the most suitable candidate locations.

[0833] 4. Generate a travel plan

[0834] Based on the analysis, the server generates a detailed travel plan with a daily itinerary, including details such as:

[0835] How to access each tourist spot (transportation, travel time, etc.)

[0836] Business information for each tourist spot (opening hours, admission fees, etc.)

[0837] Recommended sightseeing routes and activities

[0838] 5. Providing travel plans

[0839] The generated travel plan is sent to the terminal, which displays it to the user. The user can review the displayed plan and make corrections or selections as necessary. In addition, it is possible to experience the generated travel plan in advance using virtual reality (VR) technology.

[0840] Specific examples

[0841] For example, if a user inputs "I want to go to a place with lots of nature," with a budget of 100,000 yen and a stay of 3 days, the plan will be configured as follows:

[0842] Day 1: Climbing Mount Fuji

[0843] Day 2: Fuji Five Lakes Sightseeing

[0844] Day 3: Relax at Lake Yamanaka

[0845] Based on this plan, users can experience part or all of this journey in a virtual environment using smart glasses or a head-mounted display.

[0846] Prompt Sentence Examples

[0847] User input prompt:

[0848] Enter your desired travel destination (keywords: natural scenery, historical sites, outdoor activities, etc.): Natural scenery

[0849] Enter your travel budget: 100000

[0850] Enter number of nights: 3

[0851] Please enter your preferred travel period: Summer

[0852] Generated AI prompt:

[0853] Based on the user's desired "natural scenery," generate an optimal travel plan for a budget of 100,000 yen, a stay of 3 days, and the summer season. For each day, suggest places with abundant nature, such as Mt. Fuji, Yakushima, and Hokkaido, and include access methods, travel time, and recommended activities for each destination.

[0854] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0855] Step 1:

[0856] Users input their travel preferences and interests. Using a smartphone or PC interface, users input specific criteria such as desired destination, budget, length of stay, and desired travel time. The input data is encoded in JSON format and stored internally on the device for later processing.

[0857] Step 2:

[0858] The device sends the user's input data to the server. The device then sends the encoded JSON data to the server via the Internet. Specifically, the data is sent using an HTTP request, and the server receives the request.

[0859] Step 3:

[0860] The server collects information about travel destinations from the Internet. The server uses API requests and web scraping technology to obtain data from multiple sources, such as travel information websites and Japan Tourism Agency databases. The obtained data is stored in a database within the server.

[0861] Step 4:

[0862] The server analyzes the collected data and identifies tourist destinations that match the user's preferences. The server uses a text analysis algorithm to filter the collected data for information that matches the user's desired conditions. For example, if the user requests "natural scenery," tourist destinations that match that condition will be extracted.

[0863] Step 5:

[0864] The server generates an optimal travel plan based on the analysis results. For the identified tourist destinations, the server automatically generates a specific travel plan including daily schedules, access methods, business information, etc. The generated plan is encoded in JSON format and stored for the next step.

[0865] Step 6:

[0866] The generated travel plan is sent to the terminal and displayed. The server sends the generated travel plan to the terminal again via an HTTP request, which the terminal receives and displays to the user. The user can check the proposed plan and make corrections or selections as necessary.

[0867] Step 7:

[0868] The generated travel plan is then experienced by the user in a virtual environment. Using smart glasses or a head-mounted display, the user can simulate part or all of the travel plan in a virtual reality (VR) environment. Specifically, 3D visualization based on the plan is generated, allowing the user to experience virtual sightseeing.

[0869] 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.

[0870] This invention relates to a system that generates personalized travel plans by taking into consideration the user's emotions when providing optimal travel plans based on the user's travel wishes and interests. This system is composed of a terminal operated by the user, a server that collects and analyzes information, an emotion engine that recognizes the user's emotions, and communication means that connect these.

[0871] System configuration and operation

[0872] 1. Collecting User Input

[0873] Users use their devices to input their travel preferences and interests. Specifically, they log into the device's interface and enter specific requests, such as "I want to go to a place with lots of nature" or "I want to visit historical sites," using text input or a selection method. They also enter additional options, such as their budget, number of days to stay, and desired travel period.

[0874] In addition, the device is equipped with a facial recognition camera or sensor, which allows the emotion engine to analyze the user's emotions in real time. For example, if the user is smiling while typing, the emotion engine will recognize the situation as joy.

[0875] 2. Data collection from the Internet

[0876] The server collects data from multiple sources over the network, including travel information websites, tourism agency databases, blog posts, review websites, etc. It uses API requests and web scraping techniques to obtain detailed information about each travel destination.

[0877] 3. Data Analysis

[0878] The server stores the collected data in a database and uses a text analysis algorithm to filter information that matches the user's preferences. For example, if the keyword "natural landscape" is included, Mount Fuji, Yakushima, Hokkaido, etc. will be extracted.

[0879] The system also takes into account the user's emotional data analyzed by the emotion engine. For example, if the user has an expectant expression, this emotional data is incorporated into the analysis as a positive factor, and tourist spots that match the user's emotions are preferentially filtered.

[0880] 4. Generate a travel plan

[0881] The server generates a specific travel plan based on the analysis results. Based on the user's input and emotional data, it creates a daily itinerary that combines the best sightseeing spots and activities. The plan includes access methods, admission fees, business information, recommended sightseeing routes, and more for each tourist spot.

[0882] For example, if a user enters "I want to go to a place with lots of nature," has a budget of 100,000 yen, plans to stay for three days, and has a happy expression on their face when entering the information, the plan will be constructed as follows:

[0883] Day 1: Climbing Mount Fuji

[0884] Day 2: Fuji Five Lakes Sightseeing

[0885] Day 3: Relax at Lake Yamanaka

[0886] 5. Providing travel plans

[0887] The generated travel plan is sent to the terminal, which displays it to the user. The user can review the displayed plan and make modifications or selections. The user's feelings when reviewing the plan are also analyzed again, and a new plan is proposed if necessary. The final plan is sent back to the server and confirmed.

[0888] This system allows users to easily create efficient and satisfying travel plans that take into account their desires and emotions, significantly reducing the time and effort spent on travel planning and providing a more fulfilling travel experience.

[0889] The processing flow will be explained below.

[0890] Step 1:

[0891] The user enters their travel preferences and interests. They access the device's interface and input their travel preferences, such as "I want to go to a place with lots of nature" or "I want to visit historical sites," using text input or multiple-choice options. They also input detailed options such as their budget, number of days to stay, and the time of their trip.

[0892] Step 2:

[0893] The device uses a facial recognition camera or sensor to capture the user's facial expression when the user inputs, and transmits it to the emotion engine in real time. The emotion engine analyzes the user's facial expression and generates emotion data.

[0894] Step 3:

[0895] The terminal transmits the user's input data and emotion data to the server, and the input information is transmitted to the server using a secure protocol.

[0896] Step 4:

[0897] The server collects information about travel destinations from the Internet, using APIs and web scraping technology from multiple travel information websites, Japan Tourism Agency databases, travel blogs, review sites, etc.

[0898] Step 5:

[0899] The server stores the collected data in a database, which includes details such as the location of the tourist attraction, access information, opening hours, admission fees, and review ratings.

[0900] Step 6:

[0901] The server extracts the necessary information from the database and uses a text analysis algorithm to filter tourist spots that match the user's preferences. If the user requests "nature," tourist spots such as Mount Fuji and Yakushima will be extracted. Furthermore, the server references the analysis results of the emotion engine to prioritize tourist spots that match the user's emotions.

[0902] Step 7:

[0903] The server generates an optimal travel plan based on the analysis results and emotion data. The plan includes a daily itinerary, access methods for each tourist spot, admission fees, opening hours, and recommended sightseeing routes. For example, if the user has a happy expression and requests a nature trip, the plan will be constructed as follows:

[0904] Day 1: Climbing Mount Fuji

[0905] Day 2: Fuji Five Lakes Sightseeing

[0906] Day 3: Relax at Lake Yamanaka

[0907] Step 8:

[0908] The server sends the generated travel plan to the device, where it is reformatted and sent to the device using a secure protocol.

[0909] Step 9:

[0910] The device presents the travel plan from the server to the user. The user can check the displayed plan and make corrections or provide feedback as necessary. The device also captures the user's facial expression when giving feedback and evaluates it using the emotion engine.

[0911] Step 10:

[0912] The user finally checks and selects the proposed plan. The user decides on the best plan from the multiple proposed options and presses the confirm button. The device sends this information to the server and confirms the final plan.

[0913] Through these steps, users can create an efficient and comprehensive travel plan based on their own desires and feelings.

[0914] Example 2

[0915] 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."

[0916] Existing travel plan generation systems propose travel plans based on the user's basic wishes and requests, but it is difficult to provide plans that take the user's emotions into consideration. This poses a problem that users are not necessarily able to obtain travel plans that satisfy them. Another problem is that the time and effort required for information gathering and plan creation during travel preparation is significant.

[0917] 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.

[0918] In this invention, the server includes a means for the terminal to collect and analyze the user's emotions in real time, a means for collecting information about travel destinations from the Internet, and a means for analyzing the collected information and identifying tourist spots that match the user's wishes and emotions. This makes it possible to generate an optimal travel plan that takes the user's emotions into consideration, allowing the user to easily create a travel plan that satisfies them.

[0919] "User" refers to an individual who uses the system to create a travel plan.

[0920] A "terminal" is a device operated by a user, which inputs travel preferences and interests and collects emotions in real time.

[0921] "Server" refers to the computer system that collects and analyzes data via the Internet and generates and provides travel plans.

[0922] "Emotion engine" refers to software that analyzes the user's facial expression data collected by the device and recognizes their emotional state.

[0923] A "travel plan" refers to a detailed travel itinerary that reflects the user's wishes and feelings.

[0924] "Data analysis algorithm" refers to a program that analyzes collected data and identifies information that meets a user's requirements.

[0925] "Internet data collection" refers to the process by which the server obtains data about travel destinations from multiple sources.

[0926] "Filtering" refers to the process of selecting information that meets specific conditions from analyzed data.

[0927] "Communication means" refers to the network infrastructure for sending and receiving data between the user's terminal and the server.

[0928] "Travel information site" refers to a website that provides information about tourist destinations and activities.

[0929] "API Request" refers to an operation that retrieves data through an application program interface.

[0930] "Web scraping" refers to the technique of extracting data from websites.

[0931] MODE FOR CARRYING OUT THE INVENTION

[0932] This invention relates to a system that generates personalized travel plans by taking into consideration the user's emotions when providing optimal travel plans based on the user's travel wishes and interests. This system is composed of a terminal operated by the user, a server that collects and analyzes information, an emotion engine that recognizes the user's emotions, and communication means that connect these.

[0933] System configuration

[0934] Terminal operated by the user

[0935] Users input their travel preferences and interests through the device. The device is equipped with a facial recognition camera or sensor, which allows for real-time analysis of the user's emotions. Specifically, users log in to the device's interface and enter specific requests, such as "I want to go to a place with lots of nature" or "I want to visit historical sites," using text input or multiple-choice options. They also input additional options such as their budget, number of days to stay, and desired travel period.

[0936] Server that collects and analyzes information

[0937] The server collects travel data from multiple sources via the network, using API requests and web scraping technology to obtain information from travel information websites, Japan Tourism Agency databases, blog posts, review sites, etc. The collected data is stored in the server's database.

[0938] The server stores the collected data in a database and uses a text analysis algorithm to filter information that matches the user's preferences. Specifically, tourist destinations such as Mount Fuji, Yakushima, and Hokkaido are extracted based on the criteria of "natural scenery." The server also takes into account the user's emotional data analyzed by an emotion engine. If the user shows a happy expression, this emotional data is incorporated into the analysis as a positive factor, and tourist destinations that match the user's emotions are preferentially filtered.

[0939] Emotion Engine

[0940] The emotion engine analyzes the user's facial expression data sent from the device and recognizes their emotional state. This emotion data is sent to the server, and if the user appears to be having fun, it is used as reference information for generating a positive travel plan.

[0941] Generate and provide travel plans

[0942] The server generates a specific travel plan based on the analysis results. Based on the user's input and emotional data, it creates a daily itinerary that combines the best sightseeing spots and activities. The plan includes access methods, admission fees, business information, recommended sightseeing routes, and more for each tourist spot.

[0943] Specific operation example

[0944] For example, if a user enters "I want to go to a place with lots of nature," has a budget of 100,000 yen, plans to stay for three days, and has a happy expression on their face when entering the information, the following plan will be generated:

[0945] Day 1: Climbing Mount Fuji

[0946] Day 2: Fuji Five Lakes Sightseeing

[0947] Day 3: Relax at Lake Yamanaka

[0948] Prompt Sentence Examples

[0949] An example prompt is:

[0950] "Generate the optimal travel plan based on the following criteria: user input is "I want to go to a place with lots of nature," emotion is smiling, budget is 100,000 yen, and number of days to stay is 3 days."

[0951] Using this prompt, the generative AI model can suggest optimal travel plans based on the user's input and sentiment.

[0952] Providing travel plans

[0953] The generated travel plan is sent to the terminal, which displays it to the user. The user can review the displayed plan and make modifications or selections. The user's feelings when reviewing the plan are also analyzed again, and a new plan is proposed if necessary. The finalized plan is sent back to the server and confirmed.

[0954] This system allows users to easily create efficient and satisfying travel plans that take into account their desires and emotions, significantly reducing the time and effort spent on travel planning and providing a more fulfilling travel experience.

[0955] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0956] Step 1:

[0957] The user enters their travel preferences and interests.

[0958] Input: Travel wishes and interests, budget, number of days to stay, desired travel time

[0959] How it works: A user logs into the device interface and enters a request, such as "I want to go to a place with lots of nature," along with additional options such as budget, number of days to stay, and travel time.

[0960] Output: User input data

[0961] Step 2:

[0962] The terminal sends the user's input to the server.

[0963] Input: User input data (travel wishes and interests, budget, length of stay, desired travel time)

[0964] Operation: The terminal uses a communication means to send data entered by the user to the server.

[0965] Output: User input data sent to the server

[0966] Step 3:

[0967] The device collects and analyzes the user's emotions in real time.

[0968] Input: User's facial expression data (collected in real time)

[0969] How it works: The device's built-in camera and sensors capture the user's facial expressions and send the data to the emotion engine, which analyzes the facial expression data and identifies the user's emotional state.

[0970] Output: Parsed user's emotional state

[0971] Step 4:

[0972] A server collects information about travel destinations from the Internet.

[0973] Input: User input data, emotion data

[0974] How it works: The server sends API requests to travel information websites and tourism agency databases, and uses web scraping technology to collect information about travel destinations.

[0975] Output: Collected travel destination data

[0976] Step 5:

[0977] The server analyzes the collected information and identifies tourist destinations that match the user's desires and feelings.

[0978] Input: collected travel destination data, user input data, emotion data

[0979] How it works: The server uses text analysis algorithms to analyze travel destination data and extract tourist spots that match the user's criteria. It also incorporates emotion data into the analysis and sets priorities based on emotion.

[0980] Output: Identified tourist destinations based on user's wishes and feelings

[0981] Step 6:

[0982] The server generates an optimal travel plan based on the analysis results.

[0983] Input: Identified tourist spots, user input data, emotion data

[0984] How it works: The server generates a daily itinerary based on the identified tourist spots, matching the user's preferences. The itinerary includes access methods, admission fees, business information, and recommended sightseeing routes.

[0985] Output: Generated itinerary

[0986] Step 7:

[0987] The generated travel plan is sent to the terminal and displayed.

[0988] Input: Generated itinerary

[0989] Operation: The server sends the generated travel plan to the terminal, which displays the plan to the user. The user can review the plan and make corrections or selections as necessary.

[0990] Output: A displayed itinerary

[0991] Step 8:

[0992] The terminal sends the revised plan to the server, and the finalized plan is confirmed.

[0993] Input: Plan modified by user

[0994] Operation: If the user checks the displayed plan and makes any changes or modifications, the device sends them to the server, which then confirms the finalized plan.

[0995] Output: Finalized itinerary

[0996] (Application example 2)

[0997] 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."

[0998] Although conventional travel plan creation systems reflect the user's wishes and interests, they are unable to consider the user's emotions, and the resulting travel plans may not match the user's actual satisfaction. Therefore, there is a need for a means to generate more detailed and personalized plans that will provide users with emotional satisfaction when making travel plans.

[0999] The specification process 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 a means for the user to input travel wishes and interests, a means for the terminal to send the user's input to the server, a means for the server to collect information about travel destinations from the Internet, a means for the server to analyze the collected information and identify tourist spots that match the user's wishes, a means for the server to generate an optimal travel plan based on the analysis results, a means for sending the generated travel plan to the terminal and displaying it, a means for recognizing the user's emotions with a camera built into the terminal and sending it to the server, and a means for analyzing the emotion data and reflecting it in the generated travel plan. This makes it possible to generate a more personalized travel plan that takes the user's emotions into consideration, thereby improving user satisfaction.

[1000] - "User" refers to an individual who wishes to use the System to create a travel plan.

[1001] "Means for inputting preferences and interests" refers to an interface that allows users to input their travel preferences and interests by text input or by selecting options.

[1002] "Terminal" refers to an electronic device operated by a user, such as a smartphone or tablet.

[1003] "Server" refers to a central processing unit that collects, analyzes, and stores data via a network.

[1004] "Means of collecting information about travel destinations from the Internet" refers to the method by which the server obtains travel information using web APIs or web scraping technology.

[1005] "Means of analyzing and identifying tourist destinations that match the user's preferences" refers to a method of filtering collected information using text analysis algorithms, etc., and selecting the most suitable tourist destinations based on the user's input.

[1006] "Means for generating optimal travel plans" refers to a method for creating travel plans by combining travel destinations and activities based on the analysis results.

[1007] "Means for sending the generated travel plan to the terminal and displaying it" refers to a communication and display method for sending the travel plan generated by the server to the user's terminal and displaying its contents on the screen.

[1008] "Means for recognizing the user's emotions using a camera and transmitting them to a server" refers to a method of capturing the user's facial expressions using a camera built into the device, analyzing them with an emotion recognition engine, and transmitting the emotional data to a server.

[1009] "Means for analyzing emotional data and reflecting it in the generated travel plan" refers to a method for adjusting the contents of the travel plan based on the emotional data of the user obtained from the emotion recognition engine.

[1010] A system embodying the invention operates in the following steps.

[1011] First, the user inputs their travel preferences and interests. Using a device (such as a smartphone or tablet), the user inputs information such as their travel preferences, specific tourist spots, budget, and number of days to stay by text input or selection method. For example, the user might input, "I want to go to a place with lots of nature."

[1012] The device then sends the user's input directly to the server, using an internet connection to send the information in real time. The server then uses the received information to collect data about each travel destination from the internet. Specifically, it uses techniques such as API requests and web scraping to obtain the necessary information from travel information websites, review sites, and Japan Tourism Agency databases.

[1013] The collected data is stored on a server and analyzed. This analysis uses natural language processing (NLP) models and text mining technology to identify tourist destinations that match the user's preferences. For example, if the keyword "natural scenery" is included, mountainous areas and lakes will be filtered out. In addition, an emotion recognition engine (EmotionEngine) is used to recognize and collect emotion data from the user's facial expression data captured by the device's camera. This emotion data is added to the analysis and influences the specific travel plan.

[1014] The server then generates an optimal travel plan based on the user's preferences and emotional data. For example, if the user smiles and inputs "I want to go to a place with lots of nature," the plan might include the following daily itineraries:

[1015] Day 1: Mountain hiking

[1016] Day 2: Lakeside picnic

[1017] Day 3: Bird watching in the nature reserve

[1018] The generated travel plan is sent to the device and displayed on the user's screen. The user can review the displayed plan and modify it as necessary. Furthermore, the user's emotions may be analyzed again while reviewing the travel plan, and new suggestions may be made.

[1019] The specific hardware used includes a camera on the user device, a network connection for the server, and a series of data analysis servers, while the software uses emotion recognition libraries (e.g., OpenCV), natural language processing models (NLP models), web scraping technology, and travel information collection APIs.

[1020] Examples of prompts:

[1021] "If a user types in 'I want to go to a place with lots of nature' and has a smile on their face."

[1022] "Their budget is 100,000 yen, and they plan to stay for three days, and their expressions are full of anticipation."

[1023] This allows the system to provide more satisfying travel plans that fully consider the user's wishes and feelings.

[1024] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1025] Step 1:

[1026] The user inputs their travel preferences and interests. Specifically, the user uses a device (smartphone or tablet) to input their travel preferences in text input or as a selection option. They provide information such as "I want to go to a place with lots of nature," "My budget is 100,000 yen," and "I will stay for three days." The input data is saved as text data on the device.

[1027] Step 2:

[1028] The device sends the user's input data to the server. The device then sends the user's input to the server in real time via an internet connection. This process allows the server to receive the user's travel preference data. Specific data formats include JSON.

[1029] Step 3:

[1030] The server collects information about travel destinations from the Internet. The server uses API requests and web scraping techniques to obtain relevant data from travel information websites, review websites, and tourism agency databases. The collected data is then stored in a database.

[1031] Step 4:

[1032] The server analyzes the collected information and identifies tourist destinations that match the user's preferences. Using natural language processing (NLP) models, the server analyzes the travel destination data and filters tourist destinations that match the user's input. If the keyword "natural scenery" is included, mountain ranges, lakes, etc. will be listed. The input data is filtered through an analysis algorithm to generate a list of specific tourist destinations.

[1033] Step 5:

[1034] The device's camera captures the user's emotions. The camera captures the user's facial expressions in real time and saves them as image data on the device. This allows the user's emotional data to be collected.

[1035] Step 6:

[1036] The device transmits the captured emotion data to the server. Using an emotion recognition engine (EmotionEngine), the device analyzes the emotion data and transmits the user's current emotional state (e.g., joy, surprise) to the server. The analysis results are converted into text-format emotion data and uploaded to the server.

[1037] Step 7:

[1038] The server generates an optimal travel plan based on the analysis results. The server integrates the user's desired data and emotional data, and creates a specific travel plan using an AI generation model (NLP model). The plan includes a daily itinerary and details tourist spots, access methods, entrance fees, business information, etc. The generated travel plan is saved as a digital document.

[1039] Step 8:

[1040] The server sends the generated itinerary to the device and displays it. The server then sends the optimized itinerary to the user's device, which displays it. The user can review and modify the itinerary. The itinerary is displayed in an interactive format, and the UI / UX design provides an easy-to-use interface.

[1041] Step 9:

[1042] The emotions of the user when checking the travel plan are analyzed again. The emotion capture performed with the device's camera is performed again and the data is sent to the server. The server reanalyzes the emotion data and re-proposes a travel plan if necessary. This maximizes the user's final satisfaction.

[1043] As a concrete example, if a user types "I want to go somewhere with lots of nature" and has a smile on their face, the generated itinerary might look like this:

[1044] Day 1: Mountain hiking

[1045] Day 2: Lakeside picnic

[1046] Day 3: Bird watching in the nature reserve

[1047] Examples of prompts:

[1048] "If a user types in 'I want to go to a place with lots of nature' and has a smile on their face."

[1049] "Their budget is 100,000 yen, and they plan to stay for three days, and their expressions are full of anticipation."

[1050] This allows for more personalized travel plans to be provided based on the user's wishes and feelings.

[1051] 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.

[1052] 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.

[1053] 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.

[1054] [Fourth embodiment]

[1055] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1056] 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.

[1057] 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).

[1058] 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.

[1059] 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.

[1060] 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).

[1061] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1062] 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.

[1063] 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.

[1064] 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.

[1065] 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.

[1066] 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.

[1067] 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."

[1068] This invention relates to a system that allows users to input their travel preferences and interests and then provides optimal travel plans based on those inputs. This system consists of a terminal operated by the user, a server that collects and analyzes information, and a communication means that connects these.

[1069] System configuration and operation

[1070] 1. Collecting User Input

[1071] The user uses the device to input their travel preferences and interests, specifically the following information through the device interface:

[1072] Places you would like to visit or activities you would like to do (e.g., natural landscapes, historical sites, outdoor activities, etc.)

[1073] Travel budget and length of stay

[1074] Desired travel time and season

[1075] The device encodes this information in an appropriate format (e.g., JSON format) and sends it to the server.

[1076] 2. Data collection from the Internet

[1077] The server collects data from multiple sources over the network, including travel information websites, tourism agency databases, blog posts, review websites, etc. It uses API requests and web scraping techniques to obtain detailed information about each travel destination.

[1078] 3. Data Analysis

[1079] The server stores the collected data in a database in advance and uses a text analysis algorithm to filter information that matches the user's preferences. For example, if the keyword "natural scenery" is included, Mount Fuji, Yakushima, Hokkaido, etc. will be extracted.

[1080] The extracted information is then matched with other parameters such as the user's budget, length of stay, and season to identify the best candidate locations.

[1081] 4. Generate a travel plan

[1082] The server generates a specific itinerary based on the analysis results, including a daily itinerary with details such as:

[1083] How to access each tourist spot (transportation, travel time, etc.)

[1084] Business information for each tourist spot (opening hours, admission fees, etc.)

[1085] Recommended sightseeing routes and activities

[1086] As a concrete example, if a user inputs "I want to go to a place with lots of nature," with a budget of 100,000 yen and a stay of 3 days, the plan will be structured as follows:

[1087] Day 1: Climbing Mount Fuji

[1088] Day 2: Fuji Five Lakes Sightseeing

[1089] Day 3: Relax at Lake Yamanaka

[1090] 5. Providing travel plans

[1091] The generated travel plan is sent to the terminal, which displays it to the user. The user can check the displayed plan and make corrections or selections. The final plan is sent back to the server and confirmed.

[1092] This system allows users to easily obtain efficient and detailed travel plans that meet their needs, significantly reducing the time and effort spent on planning trips and enabling a more fulfilling travel experience.

[1093] The processing flow will be explained below.

[1094] Step 1:

[1095] Users input their travel preferences and interests. Specifically, they log in to the device interface and enter specific requests, such as "I want to go to a place with lots of nature" or "I want to visit historical sites," using text input or multiple-choice options. They also enter additional options, such as budget, number of days to stay, and desired travel period.

[1096] Step 2:

[1097] The device sends the user's input to the server, which then formats the information in a format such as JSON or XML and sends it to the server using a security protocol.

[1098] Step 3:

[1099] The server collects information about travel destinations from the Internet based on user input. The server calls multiple APIs to obtain data from travel information websites, tourism agency databases, travel-related blogs and review websites, and uses web scraping technology as needed to collect text and image data.

[1100] Step 4:

[1101] The server stores the collected data in a database, which is then saved as structured data containing detailed information about each tourist destination, such as its location, access method, opening hours, popularity, and reviews.

[1102] Step 5:

[1103] The server analyzes the collected data. It uses natural language processing (NLP) algorithms to match the collected data with the user's preferences. For example, if the keyword "nature" is included, tourist destinations such as Mount Fuji, Yakushima, and Hokkaido will be extracted as candidates. Filtering is also performed to select candidate destinations that fit the user's budget and length of stay.

[1104] Step 6:

[1105] The server generates a specific travel plan based on the analysis results. Based on the user's input, it creates a daily itinerary that combines the best sightseeing spots and activities. The plan includes information such as how to access each tourist spot, admission fees, business hours, and recommended sightseeing routes.

[1106] Step 7:

[1107] The server sends the generated travel plan to the device, where it is again formatted in JSON or XML format and sent to the device.

[1108] Step 8:

[1109] The terminal receives the information from the server and presents it to the user. The terminal analyzes the received data and displays it in a user-friendly interface. The terminal also includes a function that allows the user to check the details of the proposed plan and request revisions if necessary.

[1110] Step 9:

[1111] The user reviews the proposed plan and makes a final decision. The user selects from the multiple travel plans presented and decides on the final itinerary. After reviewing, the device sends this information to the server and finalizes the plan.

[1112] Through these steps, the user can easily create an efficient and satisfying travel plan.

[1113] Example 1

[1114] 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."

[1115] In today's busy lifestyles, it is extremely difficult for users to efficiently create travel plans that match their desires and interests. Collecting information about travel destinations and creating detailed itineraries is particularly time-consuming and labor-intensive, placing a significant burden on users. Furthermore, to prevent problems users may encounter during their trip, they need to know detailed access and sales information in advance. Therefore, there is a need for a system that can efficiently and quickly solve these problems.

[1116] 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.

[1117] In this invention, the server includes means for analyzing the collected information and identifying travel destinations that match the user's preferences, means for generating a detailed travel plan including a daily itinerary based on the analysis results, and means for transmitting the generated travel plan to a terminal and displaying it, thereby enabling the user to easily create an efficient and detailed travel plan that meets their preferences.

[1118] "User" refers to an entity that inputs travel wishes and interests through the system and receives travel plans.

[1119] "Terminal" refers to a device that allows a user to input travel preferences and interests and transmit them to a server. Examples include PCs, smartphones, and tablets.

[1120] "Server" refers to a device that receives information sent by users, collects, analyzes, and stores information about travel destinations via the Internet, and generates and provides optimal travel plans.

[1121] "Information collection" refers to the process by which a server acquires data about travel destinations via a network, including data acquisition from travel information websites and databases of the Japan Tourism Agency.

[1122] "Analysis" refers to the process by which the server categorizes and filters the collected information based on the user's preferences to identify suitable travel destinations.

[1123] "Travel plan" refers to a detailed travel itinerary generated by the server based on the user's wishes and conditions. Specifically, it includes information such as how to access each tourist spot, business information, and recommended routes.

[1124] "Access information" refers to information necessary for a user to travel to a travel destination, such as transportation means and travel time to the travel destination.

[1125] "Business information" refers to detailed information that users need when visiting tourist attractions and facilities, such as opening hours and admission fees.

[1126] A "prompt" is an instruction statement that is input into a generative AI model to obtain requested information or data.

[1127] "Detailed information" refers to all information necessary to support travel planning, such as access information, business information, and tourist routes for potential travel destinations.

[1128] This invention is a system that provides optimal travel plans based on users' input of their travel preferences and interests. To implement this system, a terminal operated by the user, a server that collects and analyzes information, and a communication means to connect these are required.

[1129] First, the user inputs their travel preferences and interests through the device, such as the places they want to visit, the activities they want to do, their travel budget, the number of days they want to stay, and the time of travel. The information entered through the device interface is encoded in an appropriate format (e.g., JSON format) and sent to the server.

[1130] Next, the server collects data from multiple sources via the network. These sources include travel information websites, tourism agency databases, blog posts, and review websites. Specifically, the data is obtained using web scraping tools such as Python's BeautifulSoup or Scrapy, or using APIs such as the Google Places API or Tripadvisor API. The collected data is stored in a database such as MongoDB.

[1131] The server analyzes the collected data using a text analysis algorithm (such as Python's NLTK or spaCy) to extract travel destination information that matches the user's preferences. For example, if the keyword "natural scenery" is included, information on Mount Fuji, Yakushima, Hokkaido, etc. will be extracted. The data is then compared with the user's budget, length of stay, and seasonal parameters to narrow down the optimal travel destinations.

[1132] Based on the analysis results, the server generates a detailed travel plan, including daily itineraries, how to access each tourist spot (transportation means, travel time, etc.), business information (opening hours, admission fees, etc.), recommended sightseeing routes and activities.

[1133] For example, if a user inputs "I want to go to a place with lots of nature," "My budget is 100,000 yen," "I want to stay for 3 days," and "I want to travel in the fall," the generated plan will look like this:

[1134] Day 1: Climb Mount Fuji (Transportation: Shinkansen and bus, Travel time: 5 hours, Opening hours: 8:00 AM - 5:00 PM, Admission fee: Free)

[1135] Day 2: Sightseeing around the Fuji Five Lakes (Transportation: Bus; Travel Time: 1 hour; Major Sightseeing Spots: Lake Kawaguchi and Lake Yamanaka; Opening Hours: Regular; Admission Fee: Free or Varies by Location)

[1136] Day 3: Relax at Lake Yamanaka (Transportation: Bus; Travel Time: 1 hour; Activities: Boating, Hiking, Hot Springs)

[1137] The generated travel plan is sent from the server to the terminal and displayed to the user. The user can check the displayed plan and make corrections or selections as necessary. The finalized plan is sent back to the server and confirmed.

[1138] This system allows users to easily obtain an efficient and detailed travel plan that matches their needs. An example of a specific prompt sentence is, "Please tell me a travel plan that focuses on natural scenery, has a budget of 100,000 yen, and lasts for three days. The time is autumn.", and an appropriate travel plan is generated.

[1139] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1140] Step 1: Collecting User Input

[1141] The user uses the device to input their travel preferences and interests. Specifically, they input the places they want to visit, the activities they want to do, their travel budget, the number of days they want to stay, the time they want to travel, etc. through the interface. The device encodes this information in JSON format and sends it to the server. The input is the user's preferences, and the output is the encoded JSON format data sent to the server.

[1142] Step 2: Collecting data from the internet

[1143] The server collects data about travel destinations from multiple sources via the network. Specifically, it uses API requests and web scraping technology to obtain data from travel information websites, Japan Tourism Agency databases, blog articles, review sites, etc. The input is a query to collect information, and the output is the obtained data about travel destinations, which is stored in a database on the server.

[1144] Step 3: Data analysis

[1145] The server analyzes the collected data using text analysis algorithms. Specifically, it uses Python libraries such as NLTK and spaCy to extract travel destination information that matches the user's preferences. Information containing keywords such as "natural scenery" is filtered and compared with the user's budget, length of stay, and season. The input is data about travel destinations and the user's desired information, and the output is travel destinations that match the user's criteria.

[1146] Step 4: Generate your travel plan

[1147] The server generates a specific travel plan based on the analysis results. This plan includes daily itineraries, how to access tourist spots, business information (opening hours, admission fees, etc.), recommended sightseeing routes and activities. The input is filtered travel destination information, and the output is a detailed travel plan. For example, if the user inputs "a trip focusing on natural scenery," "a budget of 100,000 yen," "a three-day stay," and "a trip in autumn," the following plan will be generated:

[1148] Day 1: Climb Mount Fuji (Transportation: Shinkansen and bus, Travel time: 5 hours, Opening hours: 8:00 AM - 5:00 PM, Admission fee: Free)

[1149] Day 2: Sightseeing around the Fuji Five Lakes (Transportation: Bus; Travel Time: 1 hour; Major Sightseeing Spots: Lake Kawaguchi and Lake Yamanaka; Opening Hours: Regular; Admission Fee: Free or Varies by Location)

[1150] Day 3: Relax at Lake Yamanaka (Transportation: Bus; Travel Time: 1 hour; Activities: Boating, Hiking, Hot Springs)

[1151] Step 5: Provide your travel plan

[1152] The generated travel plan is sent from the server to the terminal and displayed to the user. The user can check the displayed plan and make corrections or selections as necessary. The finalized plan is sent back to the server and confirmed. The input is the generated travel plan, and the output is the plan displayed to the user and the user's selections and modifications sent to the server.

[1153] (Application example 1)

[1154] 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."

[1155] When planning a trip, users need to gather a lot of information and select the best travel plan from it. However, this process is time-consuming and laborious, and it is very difficult to gather information, especially about places you are visiting for the first time or areas you are unfamiliar with. In addition, there are limited ways to confirm in advance whether the planned destinations and activities actually meet your needs, which can lead to low travel satisfaction.

[1156] 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.

[1157] In this invention, the server includes a means for a user to input travel wishes and interests, a means for a terminal to transmit the user's input to the server, a means for the server to collect information about travel destinations from the Internet, a means for the server to analyze the collected information and identify tourist spots that match the user's wishes, a means for the server to generate an optimal travel plan based on the analysis results, a means for transmitting the generated travel plan to the terminal and displaying it, and a means for allowing the user to experience the generated travel plan in a virtual environment. This allows users to significantly reduce the time and effort required to plan a trip, and improve their satisfaction with their trip by experiencing travel destinations and activities that match their wishes in a virtual environment in advance.

[1158] "Means for users to input their travel wishes and interests" refers to an interface that allows users to input their travel wishes and interests via a terminal.

[1159] "Means for a terminal to transmit user input to a server" refers to a device that has the function of transmitting user input data to a server using a communication means.

[1160] "Means for the server to collect information about travel destinations from the Internet" refers to a system component that has the functionality to obtain data about travel destinations from multiple sources on the Internet.

[1161] "Means for analyzing the information collected by the server and identifying tourist destinations that match the user's preferences" refers to the function for analyzing collected travel information using text analysis algorithms, etc., and selecting tourist destinations that match the user's desired conditions.

[1162] "Means for the server to generate optimal travel plans based on the analysis results" refers to a function that automatically creates specific travel plans, including daily itineraries and access methods, based on identified tourist destinations.

[1163] "Means for transmitting the generated travel plan to the terminal and displaying it" refers to a function for transmitting the travel plan generated by the server to the terminal operated by the user and displaying it.

[1164] "Means for allowing users to experience in a virtual environment" refers to a function that allows users to experience part or all of the generated travel plan in a virtual reality (VR) environment through smart glasses, a head-mounted display, etc.

[1165] "A means to allow users to experience filtered travel destinations in a virtual environment in advance" refers to a function that uses virtual reality (VR) technology to simulate specific travel destinations selected based on the user's desired conditions in advance, allowing the user to experience them.

[1166] "Means for recreating the selected travel plan in a virtual environment and conducting a pre-simulation" refers to a function that uses virtual reality (VR) technology to recreate the contents of the specific travel plan selected by the user and conduct a simulation before the trip begins.

[1167] This invention relates to a system that allows users to input their travel preferences and interests and then provides optimal travel plans based on those inputs. This system consists of a terminal operated by the user, a server that collects and analyzes information, and a communication means that connects these.

[1168] 1. Collecting User Input

[1169] Users input their travel preferences and interests using a device such as a smartphone or PC. Specifically, they input the following information through the device's interface:

[1170] Places you would like to visit or activities you would like to do (e.g., natural landscapes, historical sites, outdoor activities, etc.)

[1171] Travel budget and length of stay

[1172] Desired travel time and season

[1173] This information is encoded into an appropriate format (e.g., JSON format) on the terminal side and sent to the server.

[1174] 2. Data collection from the Internet

[1175] The server collects data from multiple sources over the Internet, including travel information websites, tourism agency databases, blog posts, review sites, etc. Using API requests and web scraping techniques, it retrieves detailed information about each travel destination and stores it in a database.

[1176] 3. Data Analysis

[1177] The server uses a text analysis algorithm to filter information that matches the user's preferences based on the collected data. For example, if the keyword "natural scenery" is included, Mount Fuji, Yakushima, Hokkaido, etc. will be extracted. The extracted information is then compared with other parameters such as the user's budget, length of stay, and season to select the most suitable candidate locations.

[1178] 4. Generate a travel plan

[1179] Based on the analysis, the server generates a detailed travel plan with a daily itinerary, including details such as:

[1180] How to access each tourist spot (transportation, travel time, etc.)

[1181] Business information for each tourist spot (opening hours, admission fees, etc.)

[1182] Recommended sightseeing routes and activities

[1183] 5. Providing travel plans

[1184] The generated travel plan is sent to the terminal, which displays it to the user. The user can review the displayed plan and make corrections or selections as necessary. In addition, it is possible to experience the generated travel plan in advance using virtual reality (VR) technology.

[1185] Specific examples

[1186] For example, if a user inputs "I want to go to a place with lots of nature," with a budget of 100,000 yen and a stay of 3 days, the plan will be configured as follows:

[1187] Day 1: Climbing Mount Fuji

[1188] Day 2: Fuji Five Lakes Sightseeing

[1189] Day 3: Relax at Lake Yamanaka

[1190] Based on this plan, users can experience part or all of this journey in a virtual environment using smart glasses or a head-mounted display.

[1191] Prompt Sentence Examples

[1192] User input prompt:

[1193] Enter your desired travel destination (keywords: natural scenery, historical sites, outdoor activities, etc.): Natural scenery

[1194] Enter your travel budget: 100000

[1195] Enter number of nights: 3

[1196] Please enter your preferred travel period: Summer

[1197] Generated AI prompt:

[1198] Based on the user's desired "natural scenery," generate an optimal travel plan for a budget of 100,000 yen, a stay of 3 days, and the summer season. For each day, suggest places with abundant nature, such as Mt. Fuji, Yakushima, and Hokkaido, and include access methods, travel time, and recommended activities for each destination.

[1199] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1200] Step 1:

[1201] Users input their travel preferences and interests. Using a smartphone or PC interface, users input specific criteria such as desired destination, budget, length of stay, and desired travel time. The input data is encoded in JSON format and stored internally on the device for later processing.

[1202] Step 2:

[1203] The device sends the user's input data to the server. The device then sends the encoded JSON data to the server via the Internet. Specifically, the data is sent using an HTTP request, and the server receives the request.

[1204] Step 3:

[1205] The server collects information about travel destinations from the Internet. The server uses API requests and web scraping technology to obtain data from multiple sources, such as travel information websites and Japan Tourism Agency databases. The obtained data is stored in a database within the server.

[1206] Step 4:

[1207] The server analyzes the collected data and identifies tourist destinations that match the user's preferences. The server uses a text analysis algorithm to filter the collected data for information that matches the user's desired conditions. For example, if the user requests "natural scenery," tourist destinations that match that condition will be extracted.

[1208] Step 5:

[1209] The server generates an optimal travel plan based on the analysis results. For the identified tourist destinations, the server automatically generates a specific travel plan including daily schedules, access methods, business information, etc. The generated plan is encoded in JSON format and stored for the next step.

[1210] Step 6:

[1211] The generated travel plan is sent to the terminal and displayed. The server sends the generated travel plan to the terminal again via an HTTP request, which the terminal receives and displays to the user. The user can check the proposed plan and make corrections or selections as necessary.

[1212] Step 7:

[1213] The generated travel plan is then experienced by the user in a virtual environment. Using smart glasses or a head-mounted display, the user can simulate part or all of the travel plan in a virtual reality (VR) environment. Specifically, 3D visualization based on the plan is generated, allowing the user to experience virtual sightseeing.

[1214] 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.

[1215] This invention relates to a system that generates personalized travel plans by taking into consideration the user's emotions when providing optimal travel plans based on the user's travel wishes and interests. This system is composed of a terminal operated by the user, a server that collects and analyzes information, an emotion engine that recognizes the user's emotions, and communication means that connect these.

[1216] System configuration and operation

[1217] 1. Collecting User Input

[1218] Users use their devices to input their travel preferences and interests. Specifically, they log into the device's interface and enter specific requests, such as "I want to go to a place with lots of nature" or "I want to visit historical sites," using text input or a selection method. They also enter additional options, such as their budget, number of days to stay, and desired travel period.

[1219] In addition, the device is equipped with a facial recognition camera or sensor, which allows the emotion engine to analyze the user's emotions in real time. For example, if the user is smiling while typing, the emotion engine will recognize the situation as joy.

[1220] 2. Data collection from the Internet

[1221] The server collects data from multiple sources over the network, including travel information websites, tourism agency databases, blog posts, review websites, etc. It uses API requests and web scraping techniques to obtain detailed information about each travel destination.

[1222] 3. Data Analysis

[1223] The server stores the collected data in a database and uses a text analysis algorithm to filter information that matches the user's preferences. For example, if the keyword "natural landscape" is included, Mount Fuji, Yakushima, Hokkaido, etc. will be extracted.

[1224] The system also takes into account the user's emotional data analyzed by the emotion engine. For example, if the user has an expectant expression, this emotional data is incorporated into the analysis as a positive factor, and tourist spots that match the user's emotions are preferentially filtered.

[1225] 4. Generate a travel plan

[1226] The server generates a specific travel plan based on the analysis results. Based on the user's input and emotional data, it creates a daily itinerary that combines the best sightseeing spots and activities. The plan includes access methods, admission fees, business information, recommended sightseeing routes, and more for each tourist spot.

[1227] For example, if a user enters "I want to go to a place with lots of nature," has a budget of 100,000 yen, plans to stay for three days, and has a happy expression on their face when entering the information, the plan will be constructed as follows:

[1228] Day 1: Climbing Mount Fuji

[1229] Day 2: Fuji Five Lakes Sightseeing

[1230] Day 3: Relax at Lake Yamanaka

[1231] 5. Providing travel plans

[1232] The generated travel plan is sent to the terminal, which displays it to the user. The user can review the displayed plan and make modifications or selections. The user's feelings when reviewing the plan are also analyzed again, and a new plan is proposed if necessary. The final plan is sent back to the server and confirmed.

[1233] This system allows users to easily create efficient and satisfying travel plans that take into account their desires and emotions, significantly reducing the time and effort spent on travel planning and providing a more fulfilling travel experience.

[1234] The processing flow will be explained below.

[1235] Step 1:

[1236] The user enters their travel preferences and interests. They access the device's interface and input their travel preferences, such as "I want to go to a place with lots of nature" or "I want to visit historical sites," using text input or multiple-choice options. They also input detailed options such as their budget, number of days to stay, and the time of their trip.

[1237] Step 2:

[1238] The device uses a facial recognition camera or sensor to capture the user's facial expression when the user inputs, and transmits it to the emotion engine in real time. The emotion engine analyzes the user's facial expression and generates emotion data.

[1239] Step 3:

[1240] The terminal transmits the user's input data and emotion data to the server, and the input information is transmitted to the server using a secure protocol.

[1241] Step 4:

[1242] The server collects information about travel destinations from the Internet, using APIs and web scraping technology from multiple travel information websites, Japan Tourism Agency databases, travel blogs, review sites, etc.

[1243] Step 5:

[1244] The server stores the collected data in a database, which includes details such as the location of the tourist attraction, access information, opening hours, admission fees, and review ratings.

[1245] Step 6:

[1246] The server extracts the necessary information from the database and uses a text analysis algorithm to filter tourist spots that match the user's preferences. If the user requests "nature," tourist spots such as Mount Fuji and Yakushima will be extracted. Furthermore, the server references the analysis results of the emotion engine to prioritize tourist spots that match the user's emotions.

[1247] Step 7:

[1248] The server generates an optimal travel plan based on the analysis results and emotion data. The plan includes a daily itinerary, access methods for each tourist spot, admission fees, opening hours, and recommended sightseeing routes. For example, if the user has a happy expression and requests a nature trip, the plan will be constructed as follows:

[1249] Day 1: Climbing Mount Fuji

[1250] Day 2: Fuji Five Lakes Sightseeing

[1251] Day 3: Relax at Lake Yamanaka

[1252] Step 8:

[1253] The server sends the generated travel plan to the device, where it is reformatted and sent to the device using a secure protocol.

[1254] Step 9:

[1255] The device presents the travel plan from the server to the user. The user can check the displayed plan and make corrections or provide feedback as necessary. The device also captures the user's facial expression when giving feedback and evaluates it using the emotion engine.

[1256] Step 10:

[1257] The user finally checks and selects the proposed plan. The user decides on the best plan from the multiple proposed options and presses the confirm button. The device sends this information to the server and confirms the final plan.

[1258] Through these steps, users can create an efficient and comprehensive travel plan based on their own desires and feelings.

[1259] Example 2

[1260] 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."

[1261] Existing travel plan generation systems propose travel plans based on the user's basic wishes and requests, but it is difficult to provide plans that take the user's emotions into consideration. This poses a problem that users are not necessarily able to obtain travel plans that satisfy them. Another problem is that the time and effort required for information gathering and plan creation during travel preparation is significant.

[1262] 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.

[1263] In this invention, the server includes a means for the terminal to collect and analyze the user's emotions in real time, a means for collecting information about travel destinations from the Internet, and a means for analyzing the collected information and identifying tourist spots that match the user's wishes and emotions. This makes it possible to generate an optimal travel plan that takes the user's emotions into consideration, allowing the user to easily create a travel plan that satisfies them.

[1264] "User" refers to an individual who uses the system to create a travel plan.

[1265] A "terminal" is a device operated by a user, which inputs travel preferences and interests and collects emotions in real time.

[1266] "Server" refers to the computer system that collects and analyzes data via the Internet and generates and provides travel plans.

[1267] "Emotion engine" refers to software that analyzes the user's facial expression data collected by the device and recognizes their emotional state.

[1268] A "travel plan" refers to a detailed travel itinerary that reflects the user's wishes and feelings.

[1269] "Data analysis algorithm" refers to a program that analyzes collected data and identifies information that meets a user's requirements.

[1270] "Internet data collection" refers to the process by which the server obtains data about travel destinations from multiple sources.

[1271] "Filtering" refers to the process of selecting information that meets specific conditions from analyzed data.

[1272] "Communication means" refers to the network infrastructure for sending and receiving data between the user's terminal and the server.

[1273] "Travel information site" refers to a website that provides information about tourist destinations and activities.

[1274] "API Request" refers to an operation that retrieves data through an application program interface.

[1275] "Web scraping" refers to the technique of extracting data from websites.

[1276] MODE FOR CARRYING OUT THE INVENTION

[1277] This invention relates to a system that generates personalized travel plans by taking into consideration the user's emotions when providing optimal travel plans based on the user's travel wishes and interests. This system is composed of a terminal operated by the user, a server that collects and analyzes information, an emotion engine that recognizes the user's emotions, and communication means that connect these.

[1278] System configuration

[1279] Terminal operated by the user

[1280] Users input their travel preferences and interests through the device. The device is equipped with a facial recognition camera or sensor, which allows for real-time analysis of the user's emotions. Specifically, users log in to the device's interface and enter specific requests, such as "I want to go to a place with lots of nature" or "I want to visit historical sites," using text input or multiple-choice options. They also input additional options such as their budget, number of days to stay, and desired travel period.

[1281] Server that collects and analyzes information

[1282] The server collects travel data from multiple sources via the network, using API requests and web scraping technology to obtain information from travel information websites, Japan Tourism Agency databases, blog posts, review sites, etc. The collected data is stored in the server's database.

[1283] The server stores the collected data in a database and uses a text analysis algorithm to filter information that matches the user's preferences. Specifically, tourist destinations such as Mount Fuji, Yakushima, and Hokkaido are extracted based on the criteria of "natural scenery." The server also takes into account the user's emotional data analyzed by an emotion engine. If the user shows a happy expression, this emotional data is incorporated into the analysis as a positive factor, and tourist destinations that match the user's emotions are preferentially filtered.

[1284] Emotion Engine

[1285] The emotion engine analyzes the user's facial expression data sent from the device and recognizes their emotional state. This emotion data is sent to the server, and if the user appears to be having fun, it is used as reference information for generating a positive travel plan.

[1286] Generate and provide travel plans

[1287] The server generates a specific travel plan based on the analysis results. Based on the user's input and emotional data, it creates a daily itinerary that combines the best sightseeing spots and activities. The plan includes access methods, admission fees, business information, recommended sightseeing routes, and more for each tourist spot.

[1288] Specific operation example

[1289] For example, if a user enters "I want to go to a place with lots of nature," has a budget of 100,000 yen, plans to stay for three days, and has a happy expression on their face when entering the information, the following plan will be generated:

[1290] Day 1: Climbing Mount Fuji

[1291] Day 2: Fuji Five Lakes Sightseeing

[1292] Day 3: Relax at Lake Yamanaka

[1293] Prompt Sentence Examples

[1294] An example prompt is:

[1295] "Generate the optimal travel plan based on the following criteria: user input is "I want to go to a place with lots of nature," emotion is smiling, budget is 100,000 yen, and number of days to stay is 3 days."

[1296] Using this prompt, the generative AI model can suggest optimal travel plans based on the user's input and sentiment.

[1297] Providing travel plans

[1298] The generated travel plan is sent to the terminal, which displays it to the user. The user can review the displayed plan and make modifications or selections. The user's feelings when reviewing the plan are also analyzed again, and a new plan is proposed if necessary. The finalized plan is sent back to the server and confirmed.

[1299] This system allows users to easily create efficient and satisfying travel plans that take into account their desires and emotions, significantly reducing the time and effort spent on travel planning and providing a more fulfilling travel experience.

[1300] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1301] Step 1:

[1302] The user enters their travel preferences and interests.

[1303] Input: Travel wishes and interests, budget, number of days to stay, desired travel time

[1304] How it works: A user logs into the device interface and enters a request, such as "I want to go to a place with lots of nature," along with additional options such as budget, number of days to stay, and travel time.

[1305] Output: User input data

[1306] Step 2:

[1307] The terminal sends the user's input to the server.

[1308] Input: User input data (travel wishes and interests, budget, length of stay, desired travel time)

[1309] Operation: The terminal uses a communication means to send data entered by the user to the server.

[1310] Output: User input data sent to the server

[1311] Step 3:

[1312] The device collects and analyzes the user's emotions in real time.

[1313] Input: User's facial expression data (collected in real time)

[1314] How it works: The device's built-in camera and sensors capture the user's facial expressions and send the data to the emotion engine, which analyzes the facial expression data and identifies the user's emotional state.

[1315] Output: Parsed user's emotional state

[1316] Step 4:

[1317] A server collects information about travel destinations from the Internet.

[1318] Input: User input data, emotion data

[1319] How it works: The server sends API requests to travel information websites and tourism agency databases, and uses web scraping technology to collect information about travel destinations.

[1320] Output: Collected travel destination data

[1321] Step 5:

[1322] The server analyzes the collected information and identifies tourist destinations that match the user's desires and feelings.

[1323] Input: collected travel destination data, user input data, emotion data

[1324] How it works: The server uses text analysis algorithms to analyze travel destination data and extract tourist spots that match the user's criteria. It also incorporates emotion data into the analysis and sets priorities based on emotion.

[1325] Output: Identified tourist destinations based on user's wishes and feelings

[1326] Step 6:

[1327] The server generates an optimal travel plan based on the analysis results.

[1328] Input: Identified tourist spots, user input data, emotion data

[1329] How it works: The server generates a daily itinerary based on the identified tourist spots, matching the user's preferences. The itinerary includes access methods, admission fees, business information, and recommended sightseeing routes.

[1330] Output: Generated itinerary

[1331] Step 7:

[1332] The generated travel plan is sent to the terminal and displayed.

[1333] Input: Generated itinerary

[1334] Operation: The server sends the generated travel plan to the terminal, which displays the plan to the user. The user can review the plan and make corrections or selections as necessary.

[1335] Output: A displayed itinerary

[1336] Step 8:

[1337] The terminal sends the revised plan to the server, and the finalized plan is confirmed.

[1338] Input: Plan modified by user

[1339] Operation: If the user checks the displayed plan and makes any changes or modifications, the device sends them to the server, which then confirms the finalized plan.

[1340] Output: Finalized itinerary

[1341] (Application example 2)

[1342] 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."

[1343] Although conventional travel plan creation systems reflect the user's wishes and interests, they are unable to consider the user's emotions, and the resulting travel plans may not match the user's actual satisfaction. Therefore, there is a need for a means to generate more detailed and personalized plans that will provide users with emotional satisfaction when making travel plans.

[1344] The specification process 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 a means for the user to input travel wishes and interests, a means for the terminal to send the user's input to the server, a means for the server to collect information about travel destinations from the Internet, a means for the server to analyze the collected information and identify tourist spots that match the user's wishes, a means for the server to generate an optimal travel plan based on the analysis results, a means for sending the generated travel plan to the terminal and displaying it, a means for recognizing the user's emotions with a camera built into the terminal and sending it to the server, and a means for analyzing the emotion data and reflecting it in the generated travel plan. This makes it possible to generate a more personalized travel plan that takes the user's emotions into consideration, thereby improving user satisfaction.

[1345] - "User" refers to an individual who wishes to use the System to create a travel plan.

[1346] "Means for inputting preferences and interests" refers to an interface that allows users to input their travel preferences and interests by text input or by selecting options.

[1347] "Terminal" refers to an electronic device operated by a user, such as a smartphone or tablet.

[1348] "Server" refers to a central processing unit that collects, analyzes, and stores data via a network.

[1349] "Means of collecting information about travel destinations from the Internet" refers to the method by which the server obtains travel information using web APIs or web scraping technology.

[1350] "Means of analyzing and identifying tourist destinations that match the user's preferences" refers to a method of filtering collected information using text analysis algorithms, etc., and selecting the most suitable tourist destinations based on the user's input.

[1351] "Means for generating optimal travel plans" refers to a method for creating travel plans by combining travel destinations and activities based on the analysis results.

[1352] "Means for sending the generated travel plan to the terminal and displaying it" refers to a communication and display method for sending the travel plan generated by the server to the user's terminal and displaying its contents on the screen.

[1353] "Means for recognizing the user's emotions using a camera and transmitting them to a server" refers to a method of capturing the user's facial expressions using a camera built into the device, analyzing them with an emotion recognition engine, and transmitting the emotional data to a server.

[1354] "Means for analyzing emotional data and reflecting it in the generated travel plan" refers to a method for adjusting the contents of the travel plan based on the emotional data of the user obtained from the emotion recognition engine.

[1355] A system embodying the invention operates in the following steps.

[1356] First, the user inputs their travel preferences and interests. Using a device (such as a smartphone or tablet), the user inputs information such as their travel preferences, specific tourist spots, budget, and number of days to stay by text input or selection method. For example, the user might input, "I want to go to a place with lots of nature."

[1357] The device then sends the user's input directly to the server, using an internet connection to send the information in real time. The server then uses the received information to collect data about each travel destination from the internet. Specifically, it uses techniques such as API requests and web scraping to obtain the necessary information from travel information websites, review sites, and Japan Tourism Agency databases.

[1358] The collected data is stored on a server and analyzed. This analysis uses natural language processing (NLP) models and text mining technology to identify tourist destinations that match the user's preferences. For example, if the keyword "natural scenery" is included, mountainous areas and lakes will be filtered out. In addition, an emotion recognition engine (EmotionEngine) is used to recognize and collect emotion data from the user's facial expression data captured by the device's camera. This emotion data is added to the analysis and influences the specific travel plan.

[1359] The server then generates an optimal travel plan based on the user's preferences and emotional data. For example, if the user smiles and inputs "I want to go to a place with lots of nature," the plan might include the following daily itineraries:

[1360] Day 1: Mountain hiking

[1361] Day 2: Lakeside picnic

[1362] Day 3: Bird watching in the nature reserve

[1363] The generated travel plan is sent to the device and displayed on the user's screen. The user can review the displayed plan and modify it as necessary. Furthermore, the user's emotions may be analyzed again while reviewing the travel plan, and new suggestions may be made.

[1364] The specific hardware used includes a camera on the user device, a network connection for the server, and a series of data analysis servers, while the software uses emotion recognition libraries (e.g., OpenCV), natural language processing models (NLP models), web scraping technology, and travel information collection APIs.

[1365] Examples of prompts:

[1366] "If a user types in 'I want to go to a place with lots of nature' and has a smile on their face."

[1367] "Their budget is 100,000 yen, and they plan to stay for three days, and their expressions are full of anticipation."

[1368] This allows the system to provide more satisfying travel plans that fully consider the user's wishes and feelings.

[1369] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1370] Step 1:

[1371] The user inputs their travel preferences and interests. Specifically, the user uses a device (smartphone or tablet) to input their travel preferences in text input or as a selection option. They provide information such as "I want to go to a place with lots of nature," "My budget is 100,000 yen," and "I will stay for three days." The input data is saved as text data on the device.

[1372] Step 2:

[1373] The device sends the user's input data to the server. The device then sends the user's input to the server in real time via an internet connection. This process allows the server to receive the user's travel preference data. Specific data formats include JSON.

[1374] Step 3:

[1375] The server collects information about travel destinations from the Internet. The server uses API requests and web scraping techniques to obtain relevant data from travel information websites, review websites, and tourism agency databases. The collected data is then stored in a database.

[1376] Step 4:

[1377] The server analyzes the collected information and identifies tourist destinations that match the user's preferences. Using natural language processing (NLP) models, the server analyzes the travel destination data and filters tourist destinations that match the user's input. If the keyword "natural scenery" is included, mountain ranges, lakes, etc. will be listed. The input data is filtered through an analysis algorithm to generate a list of specific tourist destinations.

[1378] Step 5:

[1379] The device's camera captures the user's emotions. The camera captures the user's facial expressions in real time and saves them as image data on the device. This allows the user's emotional data to be collected.

[1380] Step 6:

[1381] The device transmits the captured emotion data to the server. Using an emotion recognition engine (EmotionEngine), the device analyzes the emotion data and transmits the user's current emotional state (e.g., joy, surprise) to the server. The analysis results are converted into text-format emotion data and uploaded to the server.

[1382] Step 7:

[1383] The server generates an optimal travel plan based on the analysis results. The server integrates the user's desired data and emotional data, and creates a specific travel plan using an AI generation model (NLP model). The plan includes a daily itinerary and details tourist spots, access methods, entrance fees, business information, etc. The generated travel plan is saved as a digital document.

[1384] Step 8:

[1385] The server sends the generated itinerary to the device and displays it. The server then sends the optimized itinerary to the user's device, which displays it. The user can review and modify the itinerary. The itinerary is displayed in an interactive format, and the UI / UX design provides an easy-to-use interface.

[1386] Step 9:

[1387] The emotions of the user when checking the travel plan are analyzed again. The emotion capture performed with the device's camera is performed again and the data is sent to the server. The server reanalyzes the emotion data and re-proposes a travel plan if necessary. This maximizes the user's final satisfaction.

[1388] As a concrete example, if a user types "I want to go somewhere with lots of nature" and has a smile on their face, the generated itinerary might look like this:

[1389] Day 1: Mountain hiking

[1390] Day 2: Lakeside picnic

[1391] Day 3: Bird watching in the nature reserve

[1392] Examples of prompts:

[1393] "If a user types in 'I want to go to a place with lots of nature' and has a smile on their face."

[1394] "Their budget is 100,000 yen, and they plan to stay for three days, and their expressions are full of anticipation."

[1395] This allows for more personalized travel plans to be provided based on the user's wishes and feelings.

[1396] 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.

[1397] 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.

[1398] 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.

[1399] 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.

[1400] 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.

[1401] 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.

[1402] 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).

[1403] 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.

[1404] 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."

[1405] 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.

[1406] 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).

[1407] 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.

[1408] 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.

[1409] 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.

[1410] 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.

[1411] 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.

[1412] 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.

[1413] 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.

[1414] 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.

[1415] 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.

[1416] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[1417] The following is further disclosed regarding the above embodiment.

[1418] (Claim 1)

[1419] a means for users to input their travel preferences and interests;

[1420] means by the terminal to transmit user input to a server;

[1421] a means for the server to collect information about travel destinations from the Internet;

[1422] A means for analyzing the information collected by the server and identifying tourist destinations that match the user's preferences;

[1423] A means for the server to generate an optimal travel plan based on the analysis results;

[1424] The system includes means for transmitting the generated travel plan to a terminal and displaying it.

[1425] (Claim 2)

[1426] means for filtering the travel destination suggestions based on user input preferences;

[1427] 10. The system of claim 1, further comprising means for organizing and displaying detailed information about the filtered candidates.

[1428] (Claim 3)

[1429] A means for users to input specific activities, budget, and length of stay;

[1430] means for providing a user with access information, admission information, and opening hours information for the identified travel destination;

[1431] 10. The system of claim 1, further comprising means for a user to review and select suggested travel plans.

[1432] "Example 1"

[1433] (Claim 1)

[1434] a means for users to input their travel preferences and interests;

[1435] means by the terminal to transmit user input to a server;

[1436] A means for the server to collect information about travel destinations via a network;

[1437] A means for analyzing the information collected by the server and identifying travel destinations that match the user's preferences;

[1438] A means for the server to generate a detailed travel plan including daily schedules based on the analysis results;

[1439] means for transmitting the generated travel plan to a terminal and displaying it;

[1440] a means for the user to review, modify, or select the displayed plan;

[1441] a means for resubmitting the finalized plan to the server for confirmation;

[1442] A system including:

[1443] (Claim 2)

[1444] means for filtering the travel destination suggestions based on user input preferences;

[1445] The system according to claim 1, further comprising means for organizing and displaying detailed information (access methods, business information, tourist routes, etc.) about the filtered candidates.

[1446] (Claim 3)

[1447] A means for users to input specific activities, budget, and length of stay;

[1448] means for providing a user with access information, admission information, and opening hours information for the identified travel destination;

[1449] 10. The system of claim 1, further comprising means for the user to review, modify, select, and confirm the proposed travel plan.

[1450] "Application Example 1"

[1451] (Claim 1)

[1452] a means for users to input their travel preferences and interests;

[1453] means by the terminal to transmit user input to a server;

[1454] a means for the server to collect information about travel destinations from the Internet;

[1455] A means for analyzing the information collected by the server and identifying tourist destinations that match the user's preferences;

[1456] A means for the server to generate an optimal travel plan based on the analysis results;

[1457] means for transmitting the generated travel plan to a terminal and displaying it;

[1458] A system including a means for allowing a user to experience the generated travel plan in a virtual environment.

[1459] (Claim 2)

[1460] means for filtering the travel destination suggestions based on user input preferences;

[1461] a means for organizing and displaying detailed information about the filtered candidates;

[1462] The system according to claim 1, further comprising means for allowing a user to experience the filtered travel destinations in advance in a virtual environment.

[1463] (Claim 3)

[1464] A means for users to input specific activities, budget, and length of stay;

[1465] means for providing a user with access information, admission information, and opening hours information for the identified travel destination;

[1466] means for the user to review and select the suggested travel plans;

[1467] 2. The system according to claim 1, further comprising means for reproducing a selected travel plan in a virtual environment and performing a preliminary simulation.

[1468] "Example 2: Combining Emotion Engines"

[1469] (Claim 1)

[1470] a means for users to input their travel preferences and interests;

[1471] means by the terminal to transmit user input to a server;

[1472] A means for the device to collect and analyze the user's emotions in real time;

[1473] a means for the server to collect information about travel destinations from the Internet;

[1474] A means for analyzing the information collected by the server and identifying tourist destinations that match the user's desires and feelings;

[1475] A means for the server to generate an optimal travel plan based on the analysis results;

[1476] The system includes means for transmitting the generated travel plan to a terminal and displaying it.

[1477] (Claim 2)

[1478] means for filtering travel destination suggestions based on user input preferences and emotions;

[1479] 10. The system of claim 1, further comprising means for organizing and displaying detailed information about the filtered candidates.

[1480] (Claim 3)

[1481] A means for users to input specific activities, budget, and length of stay;

[1482] means for providing a user with access information, admission information, and opening hours information for the identified travel destination;

[1483] 10. The system of claim 1, further comprising means for a user to review and select suggested travel plans.

[1484] "Application example 2 when combining emotion engines"

[1485] (Claim 1)

[1486] a means for users to input their travel preferences and interests;

[1487] means by the terminal to transmit user input to a server;

[1488] a means for the server to collect information about travel destinations from the Internet;

[1489] A means for analyzing the information collected by the server and identifying tourist destinations that match the user's preferences;

[1490] A means for the server to generate an optimal travel plan based on the analysis results;

[1491] means for transmitting the generated travel plan to a terminal and displaying it;

[1492] A means for recognizing the user's emotions using a camera built into the device and transmitting the emotions to a server;

[1493] The system includes a means for analyzing emotion data and reflecting the data in the generated travel plan.

[1494] (Claim 2)

[1495] means for filtering the travel destination suggestions based on user input preferences;

[1496] a means for organizing and displaying detailed information about the filtered candidates;

[1497] 10. The system of claim 1, further comprising means for evaluating potential travel destinations taking into account user emotion data.

[1498] (Claim 3)

[1499] A means for users to input specific activities, budget, and length of stay;

[1500] means for providing a user with access information, admission information, and opening hours information for the identified travel destination;

[1501] means for the user to review and select the suggested travel plans;

[1502] The system according to claim 1, further comprising means for re-analyzing the user's emotions when reviewing the travel plan and re-proposing the travel plan if necessary. [Explanation of symbols]

[1503] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. a means for users to input their travel preferences and interests; means by the terminal to transmit user input to a server; a means for the server to collect information about travel destinations from the Internet; A means for analyzing the information collected by the server and identifying tourist destinations that match the user's preferences; A means for the server to generate an optimal travel plan based on the analysis results; and means for transmitting the generated travel plan to a terminal and displaying the same.

2. means for filtering the travel destination suggestions based on user input preferences; and means for organizing and displaying detailed information about the filtered candidates.

3. A means for users to input specific activities, budget, and length of stay; means for providing a user with access information, admission information, and opening hours information for the identified travel destination; and means for the user to review and select the proposed travel plan.

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