system

Abstract

Provide a system. The system includes: an input means for a user to input a departure point, a budget, and a travel concept; a search means on a server for receiving the input information and searching a database for a corresponding travel plan; a presentation means for presenting the travel plans searched by the search means to the user; storage means for storing said user search and selection data; analysis means for analyzing the accumulated data to identify travel trends and demand; providing means for providing the results obtained by the analysis means to a third party; A system including:

Description

[Technical Field]

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

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

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

[0004] Conventional travel plan suggestion systems have the problem of making it difficult for users to find an appropriate travel plan if they have not yet decided on a specific destination. Furthermore, travel agencies and local governments lack the data necessary to understand travel trends and demand, making it difficult to obtain information that can be effectively used in planning new travel plans or regional revitalization efforts. Furthermore, there is a lack of a means for efficiently processing a wide range of information when users select a travel plan. The purpose of this invention is to solve these problems. [Means for solving the problem]

[0005] The present invention solves the above problems with a system that includes an input means for users to input their departure point, budget, and travel concept, a search means that receives the input information on a server and searches a database for relevant travel plans, a presentation means that presents the travel plans found by the search means to the user, a storage means that stores the user's search and selection data, an analysis means that analyzes the stored data and identifies travel trends and demand, and a provision means that provides the results obtained by the analysis means to third parties. Specifically, the system allows users to easily search and select from a wide range of travel plans based on keywords entered by users, and by providing the results of analysis of the stored data to travel agencies and local governments, it can effectively help them plan travel plans and revitalize local areas.

[0006] "User" means any individual or entity that uses this System to search for and select travel plans.

[0007] "Input means" refers to the interface through which users input information such as departure point, budget, and travel concept into the system.

[0008] "Server" means a computer system that receives information entered by a user and processes and manages data based on that information.

[0009] "Database" means a digital storage system for storing and managing travel plan details.

[0010] A "search tool" is an algorithm or software module that extracts suitable travel plans from a database based on input keywords.

[0011] The "presentation means" refers to an interface for visually displaying to the user the travel plans extracted by the search means.

[0012] "Storage Measure" means a system or software module for the long-term storage and management of user search and selection data.

[0013] "Analytical Tools" means software modules or algorithms that analyze the accumulated data and use it to identify travel trends and demand.

[0014] "Provision means" refers to a system or interface for transmitting the analysis results obtained by the analysis means to third parties such as travel agencies and local governments.

[0015] "Travel Plan" means a set of travel plans including details of destinations, accommodation, planned activities, etc. [Brief explanation of the drawings]

[0016] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0017] 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.

[0018] First, the terms used in the following description will be explained.

[0019] 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).

[0020] 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.

[0021] 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.

[0022] 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.

[0023] 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."

[0024] [First embodiment]

[0025] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0026] 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.

[0027] 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).

[0028] 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.

[0029] 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.

[0030] 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.

[0031] 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.

[0032] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0033] 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.

[0034] 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.

[0035] 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.

[0036] 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."

[0037] The present invention relates to a system that proposes relevant travel plans based on a user's input of a departure point, budget, and travel concept. The system includes the following main components:

[0038] 1. Accepting user input

[0039] The device provides users with an input method for inputting their departure point, budget, and travel concept. Specifically, it features a user-friendly interface with drop-down menus and text entry fields. Users enter the required information using this interface.

[0040] 2. Receiving and searching keywords

[0041] The information entered by the user is sent to the server via an HTTP POST request. The server analyzes the received keywords and searches for relevant travel plans by executing an SQL query against the database. For example, if keywords such as "Tokyo," "under 50,000 yen," and "relaxation" are entered, the server generates a corresponding SQL query and extracts appropriate travel plans from the database.

[0042] 3. Generating and sending search results

[0043] The server generates a list of travel plans based on the search results, serializes this list in JSON format, and sends it back to the device. The device deserializes the received data and displays it visually to the user. This list can be displayed in card or list format, and is provided with a user-friendly UI design.

[0044] 4. Check and select plan details

[0045] When a user selects a travel plan that interests them, the device displays detailed information about the plan, including accommodations, travel dates, and options. Based on this information, users can make their final travel plan selection.

[0046] 5. Accumulation of search data

[0047] The server stores the user's search and selection data in a database. This data includes information such as the user's ID, search keywords, and selected plan. For example, if a user searches for "Tokyo," "under 50,000 yen," and "relaxation," and selects "Hakone Hot Springs 2-day relaxation plan," that information will be saved in the database.

[0048] 6. Data Analysis

[0049] The accumulated data is periodically analyzed by the server. The analysis means can identify travel trends and demand based on the data. This information is used to derive analytical results, such as "Many users are looking for relaxing plans departing from Tokyo."

[0050] 7. Provision of Information

[0051] The server provides the analysis results to third parties such as travel agencies and local governments. The analysis results obtained by the provision means are used to create new travel plans and for initiatives to revitalize local areas. Specifically, travel agencies use the analysis information to create new plans, and local governments use it as material for planning tourism promotion measures for their areas.

[0052] Specific examples

[0053] Suppose User A inputs the departure point "Tokyo," the budget "within 50,000 yen," and the travel concept "relaxation." The device sends this information to the server, which executes an SQL query to extract results such as "2-day relaxation plan at Hakone Hot Springs (48,000 yen)" and "1-night resort in Nikko (45,000 yen)." The results are returned to the device in JSON format and presented to User A in a user-friendly format. If User A selects "2-day relaxation plan at Hakone Hot Springs," its details are displayed. This search and selection information is also stored on the server and later provided to the travel agency.

[0054] With the above configuration, users can easily find suitable travel plans, and travel agencies and local governments can plan more effective travel plans and revitalize local areas.

[0055] The processing flow will be explained below.

[0056] Step 1:

[0057] The device displays a form for users to enter their departure point, budget, and travel concept. The form includes text fields and drop-down menus, making it easy for users to enter information.

[0058] Step 2:

[0059] Users enter "Tokyo" as the departure point, "under 50,000 yen" as the budget, and "relaxation" as the travel concept, then click the search button.

[0060] Step 3:

[0061] The device sends the data entered by the user to the server as an HTTP POST request, during which the entered keyword information is converted into an appropriate format and processed for transmission to the server.

[0062] Step 4:

[0063] The server analyzes the received keywords (e.g., "Tokyo," "under 50,000 yen," and "relaxation"). Based on the analyzed keywords, it generates an SQL query for the database. For example, the following query is generated:

[0064] sql

[0065] SELECT FROM travel_plans

[0066] WHERE departure_city = 'Tokyo'

[0067] AND price <= 50000

[0068] AND concept LIKE '%Relax%';

[0069] Step 5:

[0070] The server executes the generated SQL query to the database to search for the corresponding travel plan. The searched data is temporarily stored in the server.

[0071] Step 6:

[0072] The server serializes the search results in JSON format and returns them to the device. At this time, the serialized data is sent to the device via the network.

[0073] Step 7:

[0074] The device deserializes the JSON data sent from the server and displays it in a human-readable format, using user-friendly UIs such as cards and lists.

[0075] Step 8:

[0076] Users can select the travel plan they are interested in from the displayed options, for example, "2-day relaxing trip to Hakone hot springs."

[0077] Step 9:

[0078] The terminal displays detailed information about the selected travel plan, including information about accommodations, travel dates, and options.

[0079] Step 10:

[0080] The server stores the user's search and selection data in a database, including the user ID, search keywords, and the selected plan ID.

[0081] sql

[0082] INSERT INTO search_logs (user_id, departure_city, price, concept, selected_plan_id)

[0083] VALUES (user_id, 'Tokyo', 50000, 'Relax', selected_plan_id);

[0084] Step 11:

[0085] The server periodically analyzes the accumulated search data, using analytical tools to identify travel trends and demand and generate reports, such as the number of searches per travel concept and the ranking of selected plans.

[0086] Step 12:

[0087] The server then provides the generated analysis results report to travel agencies and local governments, who use the information to plan new travel plans and revitalize local areas.

[0088] Example 1

[0089] 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."

[0090] In today's travel planning environment, choosing the best plan from a wide variety of destinations, budgets, and purposes is complicated and takes time and effort. It is also difficult for travel agencies and local governments to accurately understand users' needs and efficiently create new travel plans or implement measures to revitalize local areas. This makes it difficult for users to find travel plans that satisfy them, limiting the ability to improve services across the entire travel industry.

[0091] 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.

[0092] In this invention, the server includes: an input means for a user to input a departure point, budget, and travel concept; a search means for receiving the input information on the server and searching for a corresponding travel plan from a database; a presentation means for presenting the travel plans found by the search means to the user; a storage means for storing the user's search and selection data; an analysis means for analyzing the stored data and identifying travel trends and demand; a provision means for providing the results obtained by the analysis means to third parties; a communication means for sending the user's input information as an HTTP POST request and receiving it from the server; a serialization means for serializing the provided travel plans in JSON format and sending them to a terminal; and a display means for displaying detailed information about the selected travel plan when the user selects it. This allows users to easily find an appropriate travel plan, and travel agencies and local governments can efficiently provide travel plans based on users' needs and revitalize local areas.

[0093] "Input method" refers to the interface through which users input their departure point, budget, and travel concept, and is a user-friendly method that may include drop-down menus, text input fields, etc.

[0094] The "search means" is a means for analyzing the user's input information received on the server and searching for the corresponding travel plan from the database.

[0095] The "presentation means" is a means for visually presenting the travel plans found by the search means to the user, and is a means for displaying the plans in a user-friendly format such as a card format or a list format.

[0096] "Storage means" means means for storing user search and selection data in a database.

[0097] "Analysis tools" are means for analyzing accumulated data and identifying travel trends and demand.

[0098] The "means of provision" refers to the means of providing the results obtained by the analysis means to a third party and providing information for creating travel plans and revitalizing local areas.

[0099] "Communication means" refers to the means by which the user's input information is sent as an HTTP POST request and received by the server.

[0100] The "serialization means" is a means for serializing the travel plans in the search results in JSON format and sending them to the terminal.

[0101] The "display means" is a means for displaying detailed information about the travel plan selected by the user.

[0102] The present invention relates to a system that proposes relevant travel plans based on a user's input of the departure point, budget, and travel concept. The system's main components include a terminal that accepts user input, a server that analyzes data and performs search processing, and an interface that presents search results to the user.

[0103] 1. Accepting user input

[0104] The device provides a user-friendly interface for entering detailed travel requirements, including drop-down menus and text entry fields. Users can enter information such as "Tokyo," "Under 50,000 yen," and "Relax."

[0105] 2. Receiving and searching keywords

[0106] The terminal sends the information entered by the user to the server via an HTTP POST request. This communication method transmits the user's search criteria to the server. The server analyzes the received information and generates an appropriate SQL query. Using a search method that searches the database for the relevant travel plan, it executes a query such as "SELECT FROM travel plan WHERE departure point='Tokyo' AND budget <= 50000 AND concept='Relax'".

[0107] 3. Generating and sending search results

[0108] The server serializes the travel plan data retrieved from the database in JSON format, and sends the formatted data to the device via the serialization method. The device deserializes the received data and displays it to the user in a user-friendly UI design such as a card or list.

[0109] 4. Check and select plan details

[0110] The user selects from the displayed travel plans the plan they are interested in. The terminal includes a display means for displaying detailed information about the selected plan, including accommodations, travel dates, options, etc.

[0111] 5. Accumulation of search data

[0112] The server uses a storage means to store user search and selection data in a database, including user ID, search keywords, details of selected plan, etc.

[0113] 6. Data Analysis

[0114] The accumulated data is periodically analyzed by the server. Analytical means are used to identify travel trends and demand based on the data. This information can be obtained as an analysis result, such as "Many users are looking for relaxing plans departing from Tokyo."

[0115] 7. Provision of Information

[0116] The server includes a means for providing the analysis results to third parties such as travel agencies and local governments. The analysis results obtained by the means for providing the analysis results are used to create new travel plans and for efforts to revitalize local areas. Specifically, travel agencies use the analysis information to create new plans, and local governments use it as material for planning tourism promotion measures for their areas.

[0117] Specific examples

[0118] Suppose User A inputs the departure point "Tokyo," the budget "Under 50,000 yen," and the travel concept "Relaxation." The device sends this information to the server, which executes the SQL query "SELECT FROM Travel Plan WHERE Departure point = 'Tokyo' AND Budget <= 50,000 AND Concept = 'Relaxation'" to extract results such as "2-day relaxation plan at Hakone Hot Springs (48,000 yen)" and "1-night resort stay in Nikko (45,000 yen)." The results are returned to the device in JSON format and presented to User A in a user-friendly format. When User A selects "2-day relaxation plan at Hakone Hot Springs," its details are displayed. This search and selection information is also stored on the server and later provided to travel agencies.

[0119] Examples of prompts using generative AI models include:

[0120] "Please tell me a relaxing trip plan for less than 50,000 yen from Tokyo."

[0121] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0122] Step 1:

[0123] Accepting user input

[0124] The device provides an interface for users to enter detailed travel requirements. This interface includes drop-down menus and text input fields, where users can enter their departure point, budget, and travel concept. The entered information (e.g., "Tokyo," "Under 50,000 yen," "Relax") is collected by the device.

[0125] Step 2:

[0126] Receiving and searching keywords

[0127] The device sends the entered information to the server as an HTTP POST request (input: user's search criteria). The server receives this request and checks the integrity of the entered data (data processing: data validation). It then generates the appropriate SQL query and executes the query against the database (output: search results). For example, the server executes the SQL query "SELECT FROM travel plan WHERE departure point = 'Tokyo' AND budget <= 50000 AND concept = 'relax'".

[0128] Step 3:

[0129] Generating and submitting search results

[0130] The server serializes the travel plan data retrieved from the database in JSON format (input: search results from the database). It then sends the serialized data to the device (output: data in JSON format). For example, the server might send data in the format "[{Plan ID: 1, Plan Name: 'Relaxing plan for 2 days at Hakone hot springs', Price: 48000}, {Plan ID: 2, Plan Name: 'One night stay at a resort in Nikko', Price: 45000}]" to the device.

[0131] Step 4:

[0132] Displaying search results

[0133] The terminal deserializes the received JSON data and displays it visually to the user (input: JSON format data). For example, the terminal displays travel plans such as "2-day relaxing plan at Hakone hot springs" or "1 night at a resort in Nikko" in card format or list format (output: visual plan list).

[0134] Step 5:

[0135] Check and select plan details

[0136] The user selects a travel plan of interest (input: user selection). The device displays detailed information about the selected plan (input: selected plan ID, output: detailed information). Specifically, the device displays detailed information about the "2-day Hakone Hot Springs Relaxation Plan" (e.g., accommodation, travel itinerary, options).

[0137] Step 6:

[0138] Accumulation of search data

[0139] The server saves the user's search and selection data in a database (input: user ID, search keyword, selected plan details, output: save to database). For example, the server accumulates data by executing SQL such as "INSERT INTO search history (user ID, keyword, selected plan ID) VALUES ('user123', 'Tokyo, under 50,000 yen, Relax', 1)".

[0140] Step 7:

[0141] Data analysis

[0142] Periodically, the server analyzes the accumulated data (input: search history stored in the database, output: analysis results). The server executes a query such as "SELECT keyword, COUNT() FROM search history GROUP BY keyword" to identify users' travel trends and demands. For example, the result may be "Many users are looking for relaxing plans departing from Tokyo."

[0143] Step 8:

[0144] Providing information

[0145] The server provides the analysis results to third parties such as travel agencies and local governments (input: analysis results, output: provided information). This information is used by travel agencies to create new travel plans and by local governments as reference material for planning tourism promotion measures. Specifically, travel agencies can use the analysis information to create new plans, and local governments can use it to plan tourism promotion measures for their areas.

[0146] (Application example 1)

[0147] 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."

[0148] Conventional travel plan suggestion systems only require users to input their departure point, budget, and travel concept to search for and suggest travel plans, and do not consider food delivery suggestions based on food preferences or location information. As a result, users are unable to centrally manage their travel plans and dining options while on the go, resulting in low convenience. In particular, users who want to quickly find meal plans while traveling or on the go find it cumbersome to have to use multiple services. In response to this, the objective of this invention is to provide a system that can suggest appropriate food delivery plans and centrally manage this information by allowing users to input their location, budget, and food preferences.

[0149] 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.

[0150] In this invention, the server includes input means for a user to input their departure point, budget, and travel concept, or their location, budget, and food preferences, search means on the server that receives the input information and searches a database for a corresponding travel plan or food delivery plan, presentation means that presents the travel plan or food delivery plan found by the search means to the user, storage means that stores the user's search and selection data, analysis means that analyzes the stored data and identifies travel trends and demand or food delivery trends and demand, and provision means that provides the results obtained by the analysis means to third parties. This allows users to centrally manage even their meal plans when making travel plans, making it possible to provide a highly convenient service.

[0151] "Input means" refers to a means that provides an interface for a user to input their departure point, budget, and travel concept, or their location, budget, and food preferences.

[0152] The "search means" is a means for receiving the input information on the server and searching the database for the corresponding travel plan or food delivery plan.

[0153] The "presentation means" is a means for visually presenting to the user the travel plan or food delivery plan searched by the search means.

[0154] "Storage means" means a means for storing and accumulating the user's search and selection data in a database.

[0155] "Analysis means" refers to means for analyzing the accumulated data and identifying travel trends and demand or food delivery trends and demand.

[0156] The "provision means" is a means for providing the analysis results obtained by the analysis means to a third party.

[0157] The present invention is a system that suggests suitable travel plans or food delivery plans by allowing a user to input their departure point, budget, and travel concept, or their location, budget, and food preferences. The system includes the following main components:

[0158] 1. Accepting user input

[0159] Users enter information using the device's input means. Specifically, a user-friendly interface with drop-down menus and text input fields is provided, allowing users to easily input their departure point, budget, and travel concept, or their location, budget, and food preferences.

[0160] 2. Receiving and searching keywords

[0161] The server receives information entered by the user through the device. Based on the received information, the server executes an SQL query against the database to search for relevant travel plans or food delivery plans. For example, if a user enters the keywords "Shinjuku," "under 3,000 yen," and "Italian," the server generates a corresponding query and extracts appropriate plans from the database.

[0162] 3. Generating and sending search results

[0163] The server generates a list of travel plans and food delivery plans based on the search results. This list is serialized in JSON format and sent back to the device. The device deserializes the received data and displays it visually to the user. The list is displayed in card or list format and is provided with a user-friendly UI design.

[0164] 4. Check and select plan details

[0165] When a user selects a travel plan or food delivery plan that interests them, the device will display detailed information about the plan, including accommodation, travel dates, options, food options, and prices. Based on this information, users can make their final travel plan or food delivery plan selection.

[0166] 5. Accumulation of search data

[0167] The server stores the user's search and selection data in a database. This data includes information such as the user's ID, search keywords, and selected plan. For example, if a user searches for the keywords "Shinjuku," "under 3,000 yen," and "Italian," and selects the "Shinjuku Pizza Margherita Delivery Plan," that information will be saved in the database.

[0168] 6. Data Analysis

[0169] The server periodically analyzes the accumulated data to identify travel and food delivery trends and demand. The results of this analysis can be used to derive trends, such as "Many users are looking for Italian delivery plans within Tokyo."

[0170] 7. Provision of Information

[0171] The server provides the analysis results to third parties. The analysis results can be used by travel agencies and food delivery service providers to create new plans and improve their services. For example, travel agencies can use the analysis information to plan new travel plans, and food delivery service providers can use it as material to improve their menus.

[0172] Specific examples

[0173] For example, suppose a user enters information such as "Shinjuku," "under 3,000 yen," and "Italian." The server uses this information to search the database for relevant food delivery plans, generating results such as "Shinjuku Pizza Margherita Delivery Plan" and "Shinjuku Spaghetti Caprese Plan." The results are then sent to the terminal and presented to the user.

[0174] Prompt Sentence Examples

[0175] An example of a prompt that the user might enter is:

[0176] "Shinjuku", "Under 3000 yen", "Italian"

[0177] This will allow users to not only plan their trips, but also manage their meal plans in one place, providing a highly convenient service.

[0178] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0179] Step 1:

[0180] The user uses the input means of the terminal to input the departure point, budget, travel concept, or location, budget, and food preferences. The user enters this information using drop-down menus or text input fields and clicks the input button. This information is sent to the server as input data.

[0181] Input: User-selected / entered departure point, budget, trip concept, or location, budget, food preferences

[0182] Output: Input data sent to the server

[0183] Step 2:

[0184] The server analyzes the received input data and searches the database for the corresponding travel plans or food delivery plans. The server generates an SQL query based on the received data and executes it against the database. The server extracts the appropriate plans and obtains the search results.

[0185] Input: User-submitted input data

[0186] Output: Query results containing search results

[0187] Step 3:

[0188] The server generates a list of travel plans or food delivery plans based on the search results, serializes it in JSON format, and sends it back to the terminal.The server converts the search results into JSON format data and sends it to the terminal as an HTTP response.

[0189] Input: Search results retrieved from the database

[0190] Output: A list of travel or food delivery offers in JSON format

[0191] Step 4:

[0192] The terminal deserializes the JSON data received from the server and displays it visually to the user. The terminal displays the received data in a card or list format, providing an interface for the user to select a plan.

[0193] Input: JSON data received from the server

[0194] Output: A list of travel or food delivery itineraries visually presented to the user

[0195] Step 5:

[0196] The user selects the plan they are interested in and checks its details. The device displays the details of the selected plan and provides the user with detailed information, allowing the user to check specific accommodations, menus, prices, etc.

[0197] Input: The plan selected by the user

[0198] Output: A screen showing detailed information

[0199] Step 6:

[0200] The server stores the user's search and selection data in a database, and saves the user's selected plan and input information in the database for later analysis.

[0201] Input: User search and selection data

[0202] Output: Accumulated database entries

[0203] Step 7:

[0204] The server periodically analyzes the accumulated data to identify travel trends and demand or food delivery trends and demand. The server applies analytical algorithms to identify trends and generate reports.

[0205] Input: Accumulated data

[0206] Output: Analyzed trend and demand report

[0207] Step 8:

[0208] The server provides the generated reports to third parties, such as travel agencies and food delivery service providers, who use the analysis results to create new plans and improve their services.

[0209] Input: Trend and Demand Report

[0210] Output: Information provided to third parties

[0211] 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.

[0212] This invention relates to a system that proposes optimal travel plans by combining a user's departure point, budget, and travel concept with an emotion engine. This system includes the following main components, and the functions and processing flow of each component will be specifically explained.

[0213] 1. Accepting user input

[0214] The terminal provides input means for users to enter their departure point, budget, and travel concept. The input form includes text fields and drop-down menus, and is designed to make it easy for users to enter information.

[0215] 2. Receiving and searching keywords

[0216] The information entered by the user is sent to the server using an HTTP POST request. The server analyzes the received keywords (e.g., "Tokyo," "under 50,000 yen," and "relaxation") and generates an SQL query against the database. Based on the generated query, the database is searched for matching travel plans.

[0217] 3. Generating and sending search results

[0218] The server generates a list of travel plans based on the search results, serializes the list in JSON format, and sends it back to the device. The device then deserializes the received data and displays it visually to the user. The display format can be a user-friendly UI such as a card format or list format.

[0219] 4. Analysis by Emotion Engine

[0220] The device collects emotional data from the user's input and interactions. The collected emotional data is sent to a server in real time and analyzed by an emotion engine. The emotion engine identifies the user's emotional state and uses that data to filter and rank search results. For example, if the user is in a relaxing mood, it will prioritize travel plans that best suit that mood.

[0221] 5. Check and select plan details

[0222] When a user selects a travel plan that interests them, the device will display detailed information about the plan, including accommodation, travel dates, options, etc. Users can review the details and select a final travel plan.

[0223] 6. Accumulation of search and sentiment data

[0224] The server stores the user's search and selection data, as well as emotional data, in a database. This data includes information such as the user ID, search keywords, selected plan, and emotional state. For example, if a user searches for the keywords "Tokyo," "under 50,000 yen," and "relaxation," and selects the "2-day relaxation plan at Hakone Hot Springs," that information is stored in the database along with the emotional data.

[0225] 7. Data Analysis

[0226] The accumulated data is periodically analyzed by the server. The analysis means identifies travel trends and demand based on the data and generates reports. Emotional data is also analyzed, and trend analysis is performed based on the user's mood and emotions. For example, it is possible to identify changes in emotions and travel plan selection trends during specific seasons or times of the day.

[0227] 8. Provision of Information

[0228] The server provides the generated analysis result report to travel agencies and local governments. The analysis results obtained by the providing means can be used to create new travel plans and for regional revitalization efforts. For example, travel agencies can use the emotion data to plan new relaxation plans, and local governments can use the data as material when planning tourism promotion measures.

[0229] Specific examples

[0230] Suppose User A inputs the departure point "Tokyo," the budget "under 50,000 yen," and the travel concept "relaxation," and also sends emotional data indicating a desire to relax through interaction. The device sends this information to the server, which executes an SQL query to extract results such as "2-day relaxation plan at Hakone hot springs (48,000 yen)" and "1-night resort stay in Nikko (45,000 yen)." The emotional engine analyzes the emotional data for relaxation and ranks the search results based on it. As a result, the plan best suited for relaxation is displayed preferentially. When User A selects "2-day relaxation plan at Hakone hot springs," its details are displayed. Furthermore, this search and selection information, along with the emotional data, is stored on the server and later provided to the travel agency.

[0231] With the above configuration, users can easily find suitable travel plans based on their emotions, and travel agencies and local governments can plan more effective travel plans and revitalize local areas.

[0232] The processing flow will be explained below.

[0233] Step 1:

[0234] The device displays a form for users to enter their departure point, budget, and travel concept. The form includes text fields and drop-down menus, making it easy for users to enter information.

[0235] Step 2:

[0236] Users enter "Tokyo" as the departure point, "under 50,000 yen" as the budget, and "relaxation" as the travel concept, then click the search button.

[0237] Step 3:

[0238] The device sends the data entered by the user to the server as an HTTP POST request, during which the entered keyword information is converted into an appropriate format and processed for transmission to the server.

[0239] Step 4:

[0240] The server analyzes the received keywords (e.g., "Tokyo," "under 50,000 yen," and "relaxation"). Based on the analyzed keywords, it generates an SQL query for the database. For example, the following query is generated:

[0241] sql

[0242] SELECT FROM travel_plans

[0243] WHERE departure_city = 'Tokyo'

[0244] AND price <= 50000

[0245] AND concept LIKE '%Relax%';

[0246] Step 5:

[0247] The server executes the generated SQL query to the database to search for the corresponding travel plan. The searched data is temporarily stored in the server.

[0248] Step 6:

[0249] The server serializes the search results in JSON format and returns them to the device. At this time, the serialized data is sent to the device via the network.

[0250] Step 7:

[0251] The device deserializes the JSON data sent from the server and displays it in a human-readable format, using user-friendly UIs such as cards and lists.

[0252] Step 8:

[0253] The device collects emotional data from user input and interactions, using algorithms to infer emotional state from, for example, facial expression recognition, keyboard typing speed, and keywords in travel itineraries selected.

[0254] Step 9:

[0255] The device sends the collected emotional data to the server in real time, where it is passed to the server along with the user's search keywords as information to be analyzed.

[0256] Step 10:

[0257] The server then analyzes the received emotion data with an emotion engine to determine the user's current emotional state. For example, if the server detects that the user wants to relax, that information is used to filter and rank search results.

[0258] Step 11:

[0259] The server takes into account the emotional state analyzed by the emotion engine and adjusts the priority of search results, so that for users who want to relax, the results are adjusted so that plans that are best suited to relaxation are displayed at the top.

[0260] Step 12:

[0261] The device then presents the adjusted search results back to the user, which may be filtered or ranked according to the user's emotional state.

[0262] Step 13:

[0263] Users can select the travel plan they are interested in from the displayed options, for example, "2-day relaxing trip to Hakone hot springs."

[0264] Step 14:

[0265] The terminal displays detailed information about the selected itinerary, including accommodations, travel dates, and options.

[0266] Step 15:

[0267] The server stores the user's search and selection data and emotional data in a database, including the user ID, search keywords, selected plan ID, and emotional state.

[0268] sql

[0269] INSERT INTO search_logs (user_id, departure_city, price, concept, selected_plan_id, emotion)

[0270] VALUES (user_id, 'Tokyo', 50000, 'Relaxed', selected_plan_id, 'relaxed');

[0271] Step 16:

[0272] The server periodically analyzes the accumulated search and emotion data, and generates reports based on the analysis to identify patterns of travel trends, demand, and emotional state fluctuations.

[0273] Step 17:

[0274] The server then provides the generated analysis results report to travel agencies and local governments. The provided information can be used to create new travel plans and promote local areas. Travel agencies can use the emotion data to create new relaxation plans, and local governments can use it as material for planning tourism promotion measures.

[0275] Example 2

[0276] 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."

[0277] Conventional travel plan suggestion systems typically suggest itineraries based on simple user choices, making it difficult to consider user sentiment and real-time feedback. This makes it difficult to propose optimal travel plans that meet users' true needs. Furthermore, these systems simply accumulate user selection data, lacking mechanisms for effectively analyzing and utilizing that data, limiting their ability to analyze future trends and forecast demand. This has prevented travel agencies and local governments from providing more effective regional revitalization measures and personalized travel plans.

[0278] 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.

[0279] In this invention, the server includes: an input means for a user to input a departure point, budget, and travel concept; a transmission means for collecting the input information and sending it as an HTTP POST request; an analysis means for receiving and analyzing the transmitted information; a search means for searching a database for relevant travel plans based on the analysis results; a presentation means for presenting the travel plans found by the search means to the user in list or card format; an emotion data collection means for collecting and sending emotion data from the user's interactions; an emotion analysis means for analyzing the emotion data and filtering or ranking the search results; a storage means for storing the user's search and selection data and emotion data in a database; an analysis means for periodically analyzing the stored data to identify travel trends and demand; and a provision means for providing the results obtained by the analysis means to a third party. This allows users to obtain optimal travel plans based on their emotions and real-time feedback, and also enables travel agencies and local governments to plan and provide more effective regional revitalization measures and personalized travel plans.

[0280] "Input means" means a device or software that provides a form or interface for a user to input their departure point, budget, and travel concept.

[0281] The "transmission means" is a device or software that has the function of collecting the input information and transmitting it to the server as an HTTP POST request.

[0282] "Analysis means" refers to a device or software that analyzes the information received by the server and converts it into data to be used for searching.

[0283] The "search means" is a device or software that has the function of searching for a relevant travel plan from a database based on the analysis results.

[0284] The "presentation means" is a device or software that has the function of presenting the travel plans searched by the search means to the user in list or card format.

[0285] The "emotion data collection means" is a device or software that has the function of collecting and transmitting emotion data from user interactions.

[0286] The "emotion analysis means" is a device or software that has the function of analyzing the emotion data and filtering or ranking the search results.

[0287] The "storage means" is a device or software that has the function of storing the user's search and selection data and emotion data in a database.

[0288] "Analysis means" refers to a device or software that has the function of periodically analyzing the accumulated data and identifying travel trends and demand.

[0289] The "providing means" is a device or software that has the function of providing the results obtained by the analyzing means to a third party.

[0290] The present invention relates to a system that proposes optimal travel plans by combining an emotion engine with a user's input data and emotion data to generate travel plans in real time and present them to the user.

[0291] Hardware and software used

[0292] Terminal

[0293] Computer devices that are directly operated by users, such as PCs, smartphones, and tablets

[0294] Specific software used: Browser (Google Chrome, Mozilla Firefox, Safari, etc.)

[0295] server

[0296] Cloud servers (Amazon Web Services, Microsoft® Azure®, Google® Cloud Platform, etc.)

[0297] Database: MySQL (registered trademark), PostgreSQL, MongoDB, etc.

[0298] Emotion engine: Google Cloud Natural Language API, IBM Watson(R) Natural Language Understanding, etc.

[0299] System Operation Overview

[0300] The device provides an input form for users to enter the information needed to search for travel plans. Specifically, users enter their departure point, budget, and travel concept in text boxes and drop-down menus. The entered information is sent to the server using an HTTP POST request. The server analyzes the received data and searches for relevant travel plans in its database based on that data.

[0301] The search results are generated in JSON format and sent back from the server to the device. The device parses the received JSON data and displays it in a visually easy-to-understand format for the user. For example, travel plans may be presented in card or list format. The user can select plans that interest them and view detailed information.

[0302] The device records user interactions (clicks, hovers, etc.) and collects emotional data. This emotional data is also sent to the server in real time and analyzed by the emotion engine. Based on the analysis results, search results are re-filtered or ranked to present the user with the best plan.

[0303] The server stores the travel plan the user ultimately selects and the emotional data collected during the search in a database, which enables future travel plan suggestions, trend analysis, demand forecasting, and more.

[0304] Specific examples

[0305] Suppose User A inputs the departure point "Tokyo," the budget "under 50,000 yen," and the travel concept "relaxation." The input information is sent from the device to the server, which analyzes it and searches the database for plans such as "2-day relaxation plan at Hakone hot springs (48,000 yen)" and "1-night resort stay in Nikko (45,000 yen)." The search results are sent to the device, which displays them in list format. When User A selects the "2-day relaxation plan at Hakone hot springs" and checks its details, emotional data is recorded and sent to the server. The emotional engine analyzes the emotional data and determines that the user is in the mood to relax. Based on this, plans that are more relaxing are displayed preferentially.

[0306] Prompt Sentence Examples

[0307] "Please suggest travel plans with a departure point of Tokyo, a budget of 50,000 yen or less, and a travel concept of relaxation. Also, using an emotion engine, if the user is in the mood to relax, please prioritize the plans that best suit that mood."

[0308] As described above, by incorporating user emotional data, the present invention can propose more personalized travel plans, and by providing analytical data to travel agencies and local governments, it can contribute to the creation of new plans and regional revitalization.

[0309] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0310] The flow of this system's program processing

[0311] Step 1: Accepting User Input

[0312] The device provides the user with a form to input their departure point, budget, and trip concept. The user inputs "Tokyo" as the departure point, "Under 50,000 yen" as the budget, and "Relax" as the trip concept. The device saves the input information in the HTML form fields.

[0313] Step 2: Sending an HTTP POST Request

[0314] The device sends the information entered by the user to the server as an HTTP POST request. This request includes the departure point, budget, and travel concept. For example, the information sent is "Departure point: Tokyo, Budget: Under 50,000 yen, Concept: Relax."

[0315] Step 3: Receiving and Parsing the Request

[0316] The server receives the HTTP POST request, parses it, and determines that the data sent is "Departure: Tokyo, Budget: Under 50,000 yen, Concept: Relaxation." The server generates an SQL query based on this data.

[0317] Step 4: Retrieving from the database

[0318] The server uses the SQL query generated by the analysis to search for relevant travel plans from the database. For example, it extracts plans that match the keywords "Tokyo," "under 50,000 yen," and "relaxation." The search results include "2-day relaxation plan at Hakone hot springs (48,000 yen)" and "1-night resort stay in Nikko (45,000 yen)."

[0319] Step 5: Generate and submit search results

[0320] The server serializes the search results into a JSON list and returns it to the device. This JSON data includes detailed information about each travel plan. For example, it will look like this: [{ "name": "2-day relaxing plan at Hakone hot springs", "price": 48000}, { "name": "1 night at a resort in Nikko", "price": 45000}]

[0321] Step 6: Viewing search results

[0322] The device deserializes the received JSON data and displays it in a visually understandable format for the user, either as a card or a list. The user can then click on the plan they are interested in.

[0323] Step 7: Collect and send emotion data

[0324] The device records the user's interactions (e.g., plan selection and clicks). This data is sent to the server as data indicating the user's emotional state. For example, the device records "how many times the user clicked on the relaxation plan."

[0325] Step 8: Analyze the sentiment data

[0326] The server passes the received emotion data to the emotion engine for analysis. Based on the analysis results, it filters or adjusts the ranking of search results. For example, if it determines that the user is in a "feeling like relaxing," relaxation plans will be displayed as search results with priority.

[0327] Step 9: Accumulating Choice and Emotion Data

[0328] The server stores user search and selection data, as well as emotional data, in a database, including information such as user ID, search keywords, selected plans, and emotional state, which will be used to improve the accuracy of future analysis and recommendations.

[0329] Step 10: Analyze your data regularly

[0330] The server periodically analyzes the accumulated data to identify travel trends and demand and generate reports. For example, it may analyze trends such as "demand for relaxation plans is high in the summer."

[0331] Step 11: Providing information to third parties

[0332] The server then provides the generated analysis results to travel agencies and local governments, allowing them to plan new travel plans and local governments to devise regional revitalization measures.

[0333] The above is the processing flow of the travel plan suggestion system based on the information and emotional data entered by the user.

[0334] (Application example 2)

[0335] 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."

[0336] In conventional factory operations, optimizing work efficiency and employee motivation was a challenge. In particular, determining work plans solely based on efficiency often increased employee fatigue and stress, resulting in a decline in overall work efficiency. Furthermore, the lack of a system that could reflect work progress and employee emotional data in real time made it difficult to optimize the work environment.

[0337] The specification processing by the specification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes: input means for the user to input the departure point, budget, and work concept; search means on the server that receives the input information and searches a database for a corresponding work plan; presentation means that presents the work plan searched by the search means to the user; emotion data collection means that collects emotion data from the user's input and interactions; emotion engine means that transmits the emotion data to the server in real time and analyzes it using an emotion engine; analysis means by the server that analyzes the accumulated data and identifies work trends and demands; and provision means that provides the obtained results to third parties. This makes it possible to propose optimal work plans in real time based on the emotion data, thereby simultaneously improving work efficiency and employee satisfaction.

[0338] "Input means" refers to a device or interface that allows a user to input information such as the departure point, budget, and work concept.

[0339] The "search means" refers to a system or program that has the function of searching for the relevant work plan from a database based on input information.

[0340] "Presentation means" refers to a device or method for visually or audibly displaying the retrieved work plan to the user.

[0341] "Emotion data collection means" refers to a device or system that collects emotion data from user input and interaction.

[0342] The "emotion engine means" is a system or program that has the function of analyzing collected emotion data in real time and identifying the user's emotional state.

[0343] "Analysis means" refers to a system or program that has the function of analyzing accumulated data and identifying work trends and demands.

[0344] "Providing means" refers to a device or method for providing analysis results to a third party.

[0345] This invention relates to a system for improving work efficiency in factories. This system allows users to input the starting point, budget, and work concept, and then combines this with an emotion engine to propose an optimal work plan. Details for realizing this system are described below.

[0346] First, an input means is prepared to receive user input data. This can be a terminal such as a tablet or PC, and provides an interface for the user to input the starting point (work location), budget (resources, time), and work concept (such as "fast," "safe," and "efficient"). This allows the user to input information easily.

[0347] Next, the server receives the input information using an HTTP POST request. Based on the received information, the server searches the database for the corresponding work plan. Specifically, it generates an SQL query for the database and performs the process of searching for the work plan.

[0348] The searched work plans are visually displayed to the user through a presentation tool, such as a card or list format, with a user-friendly UI that allows the user to easily browse and select.

[0349] An emotion data collection means is provided to collect emotion data from user inputs and interactions. This allows the user's emotional state to be collected in real time and transmitted to a server. An emotion engine means analyzes the collected emotion data and identifies the user's emotional state. This emotion engine can use existing emotion analysis technology, such as IBM Watson.

[0350] The analyzed emotion data is used to filter and rank the retrieved work plans, which allows the system to present the work plan that best suits the user's emotional state, potentially improving work efficiency.

[0351] In addition, the server stores user search and selection data and sentiment data in a database. This stored data is periodically analyzed and used to identify work trends and demands. The server provides the analysis results to third parties (e.g., factory operators and managers) to provide information for improving operational efficiency and formulating new work plans.

[0352] Examples:

[0353] Assume that a user (worker) inputs the work location "Processing Line 1," the resource "10 hours," the work concept "efficient," and the mood "stressed." This information is sent to the server, which executes an SQL query to search for plans such as "shift plans with breaks (8 hours + 2 hours break)" and "efficient work assignments with workload sharing." The emotion engine analyzes the stress data and ranks the search results based on this. As a result, plans that best fit the user's emotional state are displayed preferentially.

[0354] Example prompt for a generative AI model:

[0355] "Let's assume the user has entered the work location, 'Processing Line 1', resource, '10 hours', work concept, 'Efficient', and emotion data, 'Stressed'. Based on this information, please propose the optimal work plan. The UI should be displayed in card format, and should also include details of the proposed plan."

[0356] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0357] Step 1:

[0358] The user uses the terminal to input the starting point (work location), budget (resources, time), and task concept. The terminal interface has input fields and drop-down menus to allow the user to easily input information. The input information is sent to the server via an HTTP POST request.

[0359] Input: Work location, resource, and work concepts

[0360] Output: HTTP POST request sent to the server

[0361] Step 2:

[0362] The server receives the HTTP POST request, analyzes the input information, generates an SQL query based on the analysis results, and searches the database for the corresponding work plan. The search results are compiled into a list and serialized in JSON format.

[0363] Input: HTTP POST request containing user-entered information

[0364] Output: JSON list of work plans

[0365] Step 3:

[0366] The server returns the generated search results in JSON format to the device, which then deserializes the data and displays it visually to the user. The presentation method is a card format or a list format, and a user-friendly UI is used.

[0367] Input: JSON format search results returned from the server

[0368] Output: A work plan visually presented to the user

[0369] Step 4:

[0370] The device is equipped with sensors and a user interface to collect emotional data from user input and interactions, allowing the user's emotional state to be collected in real time. The collected emotional data is then sent to the server using an HTTP request.

[0371] Input: User emotion data

[0372] Output: Emotion data sent to the server

[0373] Step 5:

[0374] The server then passes the received emotional data to an emotion engine for analysis. The emotion engine uses existing emotion analysis technology, such as IBM Watson. The analyzed emotional data identifies the user's emotional state and uses that data to filter and rank work plans.

[0375] Input: Emotion data sent to the server

[0376] Output: Parsed sentiment data and ranked action plans

[0377] Step 6:

[0378] The server then returns the ranked work plans to the device in JSON format. The device then deserializes the re-received data and presents the work plans to the user in the optimal order, allowing the user to see the optimal work plan based on their emotional state.

[0379] Input: The optimized work plan returned from the server

[0380] Output: A work plan presented to the user in the optimal order

[0381] Step 7:

[0382] When the user selects a work plan, the terminal displays detailed information about the selected plan, including work steps, required resources, and time allocation. The user can review the displayed details and select the final work plan.

[0383] Input: User selects a work plan

[0384] Output: Work plan with detailed information

[0385] Step 8:

[0386] The server stores user search and selection data, as well as emotional data, in a database. This data includes information such as user ID, input keywords, selected plans, and emotional state. The server periodically analyzes this stored data to identify work trends and demands.

[0387] Input: User search / selection data and sentiment data

[0388] Output: Accumulated data and analysis results

[0389] Step 9:

[0390] The server provides the analysis results to a third party (factory operator or manager), which provides information for improving operational efficiency and formulating new work plans. Based on the provided data, the third party can create more effective work plans and operational policies.

[0391] Input: Analysis results

[0392] Output: Analysis results provided to third parties

[0393] 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.

[0394] 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.

[0395] 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.

[0396] [Second embodiment]

[0397] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0398] 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.

[0399] 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).

[0400] 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.

[0401] 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.

[0402] 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).

[0403] 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.

[0404] 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.

[0405] 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.

[0406] 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.

[0407] 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.

[0408] 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."

[0409] The present invention relates to a system that proposes relevant travel plans based on a user's input of a departure point, budget, and travel concept. The system includes the following main components:

[0410] 1. Accepting user input

[0411] The device provides users with an input method for inputting their departure point, budget, and travel concept. Specifically, it features a user-friendly interface with drop-down menus and text entry fields. Users enter the required information using this interface.

[0412] 2. Receiving and searching keywords

[0413] The information entered by the user is sent to the server via an HTTP POST request. The server analyzes the received keywords and searches for relevant travel plans by executing an SQL query against the database. For example, if keywords such as "Tokyo," "under 50,000 yen," and "relaxation" are entered, the server generates a corresponding SQL query and extracts appropriate travel plans from the database.

[0414] 3. Generating and sending search results

[0415] The server generates a list of travel plans based on the search results, serializes this list in JSON format, and sends it back to the device. The device deserializes the received data and displays it visually to the user. This list can be displayed in card or list format, and is provided with a user-friendly UI design.

[0416] 4. Check and select plan details

[0417] When a user selects a travel plan that interests them, the device displays detailed information about the plan, including accommodations, travel dates, and options. Based on this information, users can make their final travel plan selection.

[0418] 5. Accumulation of search data

[0419] The server stores the user's search and selection data in a database. This data includes information such as the user's ID, search keywords, and selected plan. For example, if a user searches for "Tokyo," "under 50,000 yen," and "relaxation," and selects "Hakone Hot Springs 2-day relaxation plan," that information will be saved in the database.

[0420] 6. Data Analysis

[0421] The accumulated data is periodically analyzed by the server. The analysis means can identify travel trends and demand based on the data. This information is used to derive analytical results, such as "Many users are looking for relaxing plans departing from Tokyo."

[0422] 7. Provision of Information

[0423] The server provides the analysis results to third parties such as travel agencies and local governments. The analysis results obtained by the provision means are used to create new travel plans and for initiatives to revitalize local areas. Specifically, travel agencies use the analysis information to create new plans, and local governments use it as material for planning tourism promotion measures for their areas.

[0424] Specific examples

[0425] Suppose User A inputs the departure point "Tokyo," the budget "within 50,000 yen," and the travel concept "relaxation." The device sends this information to the server, which executes an SQL query to extract results such as "2-day relaxation plan at Hakone Hot Springs (48,000 yen)" and "1-night resort in Nikko (45,000 yen)." The results are returned to the device in JSON format and presented to User A in a user-friendly format. If User A selects "2-day relaxation plan at Hakone Hot Springs," its details are displayed. This search and selection information is also stored on the server and later provided to the travel agency.

[0426] With the above configuration, users can easily find suitable travel plans, and travel agencies and local governments can plan more effective travel plans and revitalize local areas.

[0427] The processing flow will be explained below.

[0428] Step 1:

[0429] The device displays a form for users to enter their departure point, budget, and travel concept. The form includes text fields and drop-down menus, making it easy for users to enter information.

[0430] Step 2:

[0431] Users enter "Tokyo" as the departure point, "under 50,000 yen" as the budget, and "relaxation" as the travel concept, then click the search button.

[0432] Step 3:

[0433] The device sends the data entered by the user to the server as an HTTP POST request, during which the entered keyword information is converted into an appropriate format and processed for transmission to the server.

[0434] Step 4:

[0435] The server analyzes the received keywords (e.g., "Tokyo," "under 50,000 yen," and "relaxation"). Based on the analyzed keywords, it generates an SQL query for the database. For example, the following query is generated:

[0436] sql

[0437] SELECT FROM travel_plans

[0438] WHERE departure_city = 'Tokyo'

[0439] AND price <= 50000

[0440] AND concept LIKE '%Relax%';

[0441] Step 5:

[0442] The server executes the generated SQL query to the database to search for the corresponding travel plan. The searched data is temporarily stored in the server.

[0443] Step 6:

[0444] The server serializes the search results in JSON format and returns them to the device. At this time, the serialized data is sent to the device via the network.

[0445] Step 7:

[0446] The device deserializes the JSON data sent from the server and displays it in a human-readable format, using user-friendly UIs such as cards and lists.

[0447] Step 8:

[0448] Users can select the travel plan they are interested in from the displayed options, for example, "2-day relaxing trip to Hakone hot springs."

[0449] Step 9:

[0450] The terminal displays detailed information about the selected travel plan, including information about accommodations, travel dates, and options.

[0451] Step 10:

[0452] The server stores the user's search and selection data in a database, including the user ID, search keywords, and the selected plan ID.

[0453] sql

[0454] INSERT INTO search_logs (user_id, departure_city, price, concept, selected_plan_id)

[0455] VALUES (user_id, 'Tokyo', 50000, 'Relax', selected_plan_id);

[0456] Step 11:

[0457] The server periodically analyzes the accumulated search data, using analytical tools to identify travel trends and demand and generate reports, such as the number of searches per travel concept and the ranking of selected plans.

[0458] Step 12:

[0459] The server then provides the generated analysis results report to travel agencies and local governments, who use the information to plan new travel plans and revitalize local areas.

[0460] Example 1

[0461] 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."

[0462] In today's travel planning environment, choosing the best plan from a wide variety of destinations, budgets, and purposes is complicated and takes time and effort. It is also difficult for travel agencies and local governments to accurately understand users' needs and efficiently create new travel plans or implement measures to revitalize local areas. This makes it difficult for users to find travel plans that satisfy them, limiting the ability to improve services across the entire travel industry.

[0463] 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.

[0464] In this invention, the server includes: an input means for a user to input a departure point, budget, and travel concept; a search means for receiving the input information on the server and searching for a corresponding travel plan from a database; a presentation means for presenting the travel plans found by the search means to the user; a storage means for storing the user's search and selection data; an analysis means for analyzing the stored data and identifying travel trends and demand; a provision means for providing the results obtained by the analysis means to third parties; a communication means for sending the user's input information as an HTTP POST request and receiving it from the server; a serialization means for serializing the provided travel plans in JSON format and sending them to a terminal; and a display means for displaying detailed information about the selected travel plan when the user selects it. This allows users to easily find an appropriate travel plan, and travel agencies and local governments can efficiently provide travel plans based on users' needs and revitalize local areas.

[0465] "Input method" refers to the interface through which users input their departure point, budget, and travel concept, and is a user-friendly method that may include drop-down menus, text input fields, etc.

[0466] The "search means" is a means for analyzing the user's input information received on the server and searching for the corresponding travel plan from the database.

[0467] The "presentation means" is a means for visually presenting the travel plans found by the search means to the user, and is a means for displaying the plans in a user-friendly format such as a card format or a list format.

[0468] "Storage means" means means for storing user search and selection data in a database.

[0469] "Analysis tools" are means for analyzing accumulated data and identifying travel trends and demand.

[0470] The "means of provision" refers to the means of providing the results obtained by the analysis means to a third party and providing information for creating travel plans and revitalizing local areas.

[0471] "Communication means" refers to the means by which the user's input information is sent as an HTTP POST request and received by the server.

[0472] The "serialization means" is a means for serializing the travel plans in the search results in JSON format and sending them to the terminal.

[0473] The "display means" is a means for displaying detailed information about the travel plan selected by the user.

[0474] The present invention relates to a system that proposes relevant travel plans based on a user's input of the departure point, budget, and travel concept. The system's main components include a terminal that accepts user input, a server that analyzes data and performs search processing, and an interface that presents search results to the user.

[0475] 1. Accepting user input

[0476] The device provides a user-friendly interface for entering detailed travel requirements, including drop-down menus and text entry fields. Users can enter information such as "Tokyo," "Under 50,000 yen," and "Relax."

[0477] 2. Receiving and searching keywords

[0478] The terminal sends the information entered by the user to the server via an HTTP POST request. This communication method transmits the user's search criteria to the server. The server analyzes the received information and generates an appropriate SQL query. Using a search method that searches the database for the relevant travel plan, it executes a query such as "SELECT FROM travel plan WHERE departure point='Tokyo' AND budget <= 50000 AND concept='Relax'".

[0479] 3. Generating and sending search results

[0480] The server serializes the travel plan data retrieved from the database in JSON format, and sends the formatted data to the device via the serialization method. The device deserializes the received data and displays it to the user in a user-friendly UI design such as a card or list.

[0481] 4. Check and select plan details

[0482] The user selects from the displayed travel plans the plan they are interested in. The terminal includes a display means for displaying detailed information about the selected plan, including accommodations, travel dates, options, etc.

[0483] 5. Accumulation of search data

[0484] The server uses a storage means to store user search and selection data in a database, including user ID, search keywords, details of selected plan, etc.

[0485] 6. Data Analysis

[0486] The accumulated data is periodically analyzed by the server. Analytical means are used to identify travel trends and demand based on the data. This information can be obtained as an analysis result, such as "Many users are looking for relaxing plans departing from Tokyo."

[0487] 7. Provision of Information

[0488] The server includes a means for providing the analysis results to third parties such as travel agencies and local governments. The analysis results obtained by the means for providing the analysis results are used to create new travel plans and for efforts to revitalize local areas. Specifically, travel agencies use the analysis information to create new plans, and local governments use it as material for planning tourism promotion measures for their areas.

[0489] Specific examples

[0490] Suppose User A inputs the departure point "Tokyo," the budget "Under 50,000 yen," and the travel concept "Relaxation." The device sends this information to the server, which executes the SQL query "SELECT FROM Travel Plan WHERE Departure point = 'Tokyo' AND Budget <= 50,000 AND Concept = 'Relaxation'" to extract results such as "2-day relaxation plan at Hakone Hot Springs (48,000 yen)" and "1-night resort stay in Nikko (45,000 yen)." The results are returned to the device in JSON format and presented to User A in a user-friendly format. When User A selects "2-day relaxation plan at Hakone Hot Springs," its details are displayed. This search and selection information is also stored on the server and later provided to travel agencies.

[0491] Examples of prompts using generative AI models include:

[0492] "Please tell me a relaxing trip plan for less than 50,000 yen from Tokyo."

[0493] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0494] Step 1:

[0495] Accepting user input

[0496] The device provides an interface for users to enter detailed travel requirements. This interface includes drop-down menus and text input fields, where users can enter their departure point, budget, and travel concept. The entered information (e.g., "Tokyo," "Under 50,000 yen," "Relax") is collected by the device.

[0497] Step 2:

[0498] Receiving and searching keywords

[0499] The device sends the entered information to the server as an HTTP POST request (input: user's search criteria). The server receives this request and checks the integrity of the entered data (data processing: data validation). It then generates the appropriate SQL query and executes the query against the database (output: search results). For example, the server executes the SQL query "SELECT FROM travel plan WHERE departure point = 'Tokyo' AND budget <= 50000 AND concept = 'relax'".

[0500] Step 3:

[0501] Generating and submitting search results

[0502] The server serializes the travel plan data retrieved from the database in JSON format (input: search results from the database). It then sends the serialized data to the device (output: data in JSON format). For example, the server might send data in the format "[{Plan ID: 1, Plan Name: 'Relaxing plan for 2 days at Hakone hot springs', Price: 48000}, {Plan ID: 2, Plan Name: 'One night stay at a resort in Nikko', Price: 45000}]" to the device.

[0503] Step 4:

[0504] Displaying search results

[0505] The terminal deserializes the received JSON data and displays it visually to the user (input: JSON format data). For example, the terminal displays travel plans such as "2-day relaxing plan at Hakone hot springs" or "1 night at a resort in Nikko" in card format or list format (output: visual plan list).

[0506] Step 5:

[0507] Check and select plan details

[0508] The user selects a travel plan of interest (input: user selection). The device displays detailed information about the selected plan (input: selected plan ID, output: detailed information). Specifically, the device displays detailed information about the "2-day Hakone Hot Springs Relaxation Plan" (e.g., accommodation, travel itinerary, options).

[0509] Step 6:

[0510] Accumulation of search data

[0511] The server saves the user's search and selection data in a database (input: user ID, search keyword, selected plan details, output: save to database). For example, the server accumulates data by executing SQL such as "INSERT INTO search history (user ID, keyword, selected plan ID) VALUES ('user123', 'Tokyo, under 50,000 yen, Relax', 1)".

[0512] Step 7:

[0513] Data analysis

[0514] Periodically, the server analyzes the accumulated data (input: search history stored in the database, output: analysis results). The server executes a query such as "SELECT keyword, COUNT() FROM search history GROUP BY keyword" to identify users' travel trends and demands. For example, the result may be "Many users are looking for relaxing plans departing from Tokyo."

[0515] Step 8:

[0516] Providing information

[0517] The server provides the analysis results to third parties such as travel agencies and local governments (input: analysis results, output: provided information). This information is used by travel agencies to create new travel plans and by local governments as reference material for planning tourism promotion measures. Specifically, travel agencies can use the analysis information to create new plans, and local governments can use it to plan tourism promotion measures for their areas.

[0518] (Application example 1)

[0519] 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."

[0520] Conventional travel plan suggestion systems only require users to input their departure point, budget, and travel concept to search for and suggest travel plans, and do not consider food delivery suggestions based on food preferences or location information. As a result, users are unable to centrally manage their travel plans and dining options while on the go, resulting in low convenience. In particular, users who want to quickly find meal plans while traveling or on the go find it cumbersome to have to use multiple services. In response to this, the objective of this invention is to provide a system that can suggest appropriate food delivery plans and centrally manage this information by allowing users to input their location, budget, and food preferences.

[0521] 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.

[0522] In this invention, the server includes input means for a user to input their departure point, budget, and travel concept, or their location, budget, and food preferences, search means on the server that receives the input information and searches a database for a corresponding travel plan or food delivery plan, presentation means that presents the travel plan or food delivery plan found by the search means to the user, storage means that stores the user's search and selection data, analysis means that analyzes the stored data and identifies travel trends and demand or food delivery trends and demand, and provision means that provides the results obtained by the analysis means to third parties. This allows users to centrally manage even their meal plans when making travel plans, making it possible to provide a highly convenient service.

[0523] "Input means" refers to a means that provides an interface for a user to input their departure point, budget, and travel concept, or their location, budget, and food preferences.

[0524] The "search means" is a means for receiving the input information on the server and searching the database for the corresponding travel plan or food delivery plan.

[0525] The "presentation means" is a means for visually presenting to the user the travel plan or food delivery plan searched by the search means.

[0526] "Storage means" means a means for storing and accumulating the user's search and selection data in a database.

[0527] "Analysis means" refers to means for analyzing the accumulated data and identifying travel trends and demand or food delivery trends and demand.

[0528] The "provision means" is a means for providing the analysis results obtained by the analysis means to a third party.

[0529] The present invention is a system that suggests suitable travel plans or food delivery plans by allowing a user to input their departure point, budget, and travel concept, or their location, budget, and food preferences. The system includes the following main components:

[0530] 1. Accepting user input

[0531] Users enter information using the device's input means. Specifically, a user-friendly interface with drop-down menus and text input fields is provided, allowing users to easily input their departure point, budget, and travel concept, or their location, budget, and food preferences.

[0532] 2. Receiving and searching keywords

[0533] The server receives information entered by the user through the device. Based on the received information, the server executes an SQL query against the database to search for relevant travel plans or food delivery plans. For example, if a user enters the keywords "Shinjuku," "under 3,000 yen," and "Italian," the server generates a corresponding query and extracts appropriate plans from the database.

[0534] 3. Generating and sending search results

[0535] The server generates a list of travel plans and food delivery plans based on the search results. This list is serialized in JSON format and sent back to the device. The device deserializes the received data and displays it visually to the user. The list is displayed in card or list format and is provided with a user-friendly UI design.

[0536] 4. Check and select plan details

[0537] When a user selects a travel plan or food delivery plan that interests them, the device will display detailed information about the plan, including accommodation, travel dates, options, food options, and prices. Based on this information, users can make their final travel plan or food delivery plan selection.

[0538] 5. Accumulation of search data

[0539] The server stores the user's search and selection data in a database. This data includes information such as the user's ID, search keywords, and selected plan. For example, if a user searches for the keywords "Shinjuku," "under 3,000 yen," and "Italian," and selects the "Shinjuku Pizza Margherita Delivery Plan," that information will be saved in the database.

[0540] 6. Data Analysis

[0541] The server periodically analyzes the accumulated data to identify travel and food delivery trends and demand. The results of this analysis can be used to derive trends, such as "Many users are looking for Italian delivery plans within Tokyo."

[0542] 7. Provision of Information

[0543] The server provides the analysis results to third parties. The analysis results can be used by travel agencies and food delivery service providers to create new plans and improve their services. For example, travel agencies can use the analysis information to plan new travel plans, and food delivery service providers can use it as material to improve their menus.

[0544] Specific examples

[0545] For example, suppose a user enters information such as "Shinjuku," "under 3,000 yen," and "Italian." The server uses this information to search the database for relevant food delivery plans, generating results such as "Shinjuku Pizza Margherita Delivery Plan" and "Shinjuku Spaghetti Caprese Plan." The results are then sent to the terminal and presented to the user.

[0546] Prompt Sentence Examples

[0547] An example of a prompt that the user might enter is:

[0548] "Shinjuku", "Under 3000 yen", "Italian"

[0549] This will allow users to not only plan their trips, but also manage their meal plans in one place, providing a highly convenient service.

[0550] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0551] Step 1:

[0552] The user uses the input means of the terminal to input the departure point, budget, travel concept, or location, budget, and food preferences. The user enters this information using drop-down menus or text input fields and clicks the input button. This information is sent to the server as input data.

[0553] Input: User-selected / entered departure point, budget, trip concept, or location, budget, food preferences

[0554] Output: Input data sent to the server

[0555] Step 2:

[0556] The server analyzes the received input data and searches the database for the corresponding travel plans or food delivery plans. The server generates an SQL query based on the received data and executes it against the database. The server extracts the appropriate plans and obtains the search results.

[0557] Input: User-submitted input data

[0558] Output: Query results containing search results

[0559] Step 3:

[0560] The server generates a list of travel plans or food delivery plans based on the search results, serializes it in JSON format, and sends it back to the terminal.The server converts the search results into JSON format data and sends it to the terminal as an HTTP response.

[0561] Input: Search results retrieved from the database

[0562] Output: A list of travel or food delivery offers in JSON format

[0563] Step 4:

[0564] The terminal deserializes the JSON data received from the server and displays it visually to the user. The terminal displays the received data in a card or list format, providing an interface for the user to select a plan.

[0565] Input: JSON data received from the server

[0566] Output: A list of travel or food delivery itineraries visually presented to the user

[0567] Step 5:

[0568] The user selects the plan they are interested in and checks its details. The device displays the details of the selected plan and provides the user with detailed information, allowing the user to check specific accommodations, menus, prices, etc.

[0569] Input: The plan selected by the user

[0570] Output: A screen showing detailed information

[0571] Step 6:

[0572] The server stores the user's search and selection data in a database, and saves the user's selected plan and input information in the database for later analysis.

[0573] Input: User search and selection data

[0574] Output: Accumulated database entries

[0575] Step 7:

[0576] The server periodically analyzes the accumulated data to identify travel trends and demand or food delivery trends and demand. The server applies analytical algorithms to identify trends and generate reports.

[0577] Input: Accumulated data

[0578] Output: Analyzed trend and demand report

[0579] Step 8:

[0580] The server provides the generated reports to third parties, such as travel agencies and food delivery service providers, who use the analysis results to create new plans and improve their services.

[0581] Input: Trend and Demand Report

[0582] Output: Information provided to third parties

[0583] 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.

[0584] This invention relates to a system that proposes optimal travel plans by combining a user's departure point, budget, and travel concept with an emotion engine. This system includes the following main components, and the functions and processing flow of each component will be specifically explained.

[0585] 1. Accepting user input

[0586] The terminal provides input means for users to enter their departure point, budget, and travel concept. The input form includes text fields and drop-down menus, and is designed to make it easy for users to enter information.

[0587] 2. Receiving and searching keywords

[0588] The information entered by the user is sent to the server using an HTTP POST request. The server analyzes the received keywords (e.g., "Tokyo," "under 50,000 yen," and "relaxation") and generates an SQL query against the database. Based on the generated query, the database is searched for matching travel plans.

[0589] 3. Generating and sending search results

[0590] The server generates a list of travel plans based on the search results, serializes the list in JSON format, and sends it back to the device. The device then deserializes the received data and displays it visually to the user. The display format can be a user-friendly UI such as a card format or list format.

[0591] 4. Analysis by Emotion Engine

[0592] The device collects emotional data from the user's input and interactions. The collected emotional data is sent to a server in real time and analyzed by an emotion engine. The emotion engine identifies the user's emotional state and uses that data to filter and rank search results. For example, if the user is in a relaxing mood, it will prioritize travel plans that best suit that mood.

[0593] 5. Check and select plan details

[0594] When a user selects a travel plan that interests them, the device will display detailed information about the plan, including accommodation, travel dates, options, etc. Users can review the details and select a final travel plan.

[0595] 6. Accumulation of search and sentiment data

[0596] The server stores the user's search and selection data, as well as emotional data, in a database. This data includes information such as the user ID, search keywords, selected plan, and emotional state. For example, if a user searches for the keywords "Tokyo," "under 50,000 yen," and "relaxation," and selects the "2-day relaxation plan at Hakone Hot Springs," that information is stored in the database along with the emotional data.

[0597] 7. Data Analysis

[0598] The accumulated data is periodically analyzed by the server. The analysis means identifies travel trends and demand based on the data and generates reports. Emotional data is also analyzed, and trend analysis is performed based on the user's mood and emotions. For example, it is possible to identify changes in emotions and travel plan selection trends during specific seasons or times of the day.

[0599] 8. Provision of Information

[0600] The server provides the generated analysis result report to travel agencies and local governments. The analysis results obtained by the providing means can be used to create new travel plans and for regional revitalization efforts. For example, travel agencies can use the emotion data to plan new relaxation plans, and local governments can use the data as material when planning tourism promotion measures.

[0601] Specific examples

[0602] Suppose User A inputs the departure point "Tokyo," the budget "under 50,000 yen," and the travel concept "relaxation," and also sends emotional data indicating a desire to relax through interaction. The device sends this information to the server, which executes an SQL query to extract results such as "2-day relaxation plan at Hakone hot springs (48,000 yen)" and "1-night resort stay in Nikko (45,000 yen)." The emotional engine analyzes the emotional data for relaxation and ranks the search results based on it. As a result, the plan best suited for relaxation is displayed preferentially. When User A selects "2-day relaxation plan at Hakone hot springs," its details are displayed. Furthermore, this search and selection information, along with the emotional data, is stored on the server and later provided to the travel agency.

[0603] With the above configuration, users can easily find suitable travel plans based on their emotions, and travel agencies and local governments can plan more effective travel plans and revitalize local areas.

[0604] The processing flow will be explained below.

[0605] Step 1:

[0606] The device displays a form for users to enter their departure point, budget, and travel concept. The form includes text fields and drop-down menus, making it easy for users to enter information.

[0607] Step 2:

[0608] Users enter "Tokyo" as the departure point, "under 50,000 yen" as the budget, and "relaxation" as the travel concept, then click the search button.

[0609] Step 3:

[0610] The device sends the data entered by the user to the server as an HTTP POST request, during which the entered keyword information is converted into an appropriate format and processed for transmission to the server.

[0611] Step 4:

[0612] The server analyzes the received keywords (e.g., "Tokyo," "under 50,000 yen," and "relaxation"). Based on the analyzed keywords, it generates an SQL query for the database. For example, the following query is generated:

[0613] sql

[0614] SELECT FROM travel_plans

[0615] WHERE departure_city = 'Tokyo'

[0616] AND price <= 50000

[0617] AND concept LIKE '%Relax%';

[0618] Step 5:

[0619] The server executes the generated SQL query to the database to search for the corresponding travel plan. The searched data is temporarily stored in the server.

[0620] Step 6:

[0621] The server serializes the search results in JSON format and returns them to the device. At this time, the serialized data is sent to the device via the network.

[0622] Step 7:

[0623] The device deserializes the JSON data sent from the server and displays it in a human-readable format, using user-friendly UIs such as cards and lists.

[0624] Step 8:

[0625] The device collects emotional data from user input and interactions, using algorithms to infer emotional state from, for example, facial expression recognition, keyboard typing speed, and keywords in travel itineraries selected.

[0626] Step 9:

[0627] The device sends the collected emotional data to the server in real time, where it is passed to the server along with the user's search keywords as information to be analyzed.

[0628] Step 10:

[0629] The server then analyzes the received emotion data with an emotion engine to determine the user's current emotional state. For example, if the server detects that the user wants to relax, that information is used to filter and rank search results.

[0630] Step 11:

[0631] The server takes into account the emotional state analyzed by the emotion engine and adjusts the priority of search results, so that for users who want to relax, the results are adjusted so that plans that are best suited to relaxation are displayed at the top.

[0632] Step 12:

[0633] The device then presents the adjusted search results back to the user, which may be filtered or ranked according to the user's emotional state.

[0634] Step 13:

[0635] Users can select the travel plan they are interested in from the displayed options, for example, "2-day relaxing trip to Hakone hot springs."

[0636] Step 14:

[0637] The terminal displays detailed information about the selected itinerary, including accommodations, travel dates, and options.

[0638] Step 15:

[0639] The server stores the user's search and selection data and emotional data in a database, including the user ID, search keywords, selected plan ID, and emotional state.

[0640] sql

[0641] INSERT INTO search_logs (user_id, departure_city, price, concept, selected_plan_id, emotion)

[0642] VALUES (user_id, 'Tokyo', 50000, 'Relaxed', selected_plan_id, 'relaxed');

[0643] Step 16:

[0644] The server periodically analyzes the accumulated search and emotion data, and generates reports based on the analysis to identify patterns of travel trends, demand, and emotional state fluctuations.

[0645] Step 17:

[0646] The server then provides the generated analysis results report to travel agencies and local governments. The provided information can be used to create new travel plans and promote local areas. Travel agencies can use the emotion data to create new relaxation plans, and local governments can use it as material for planning tourism promotion measures.

[0647] Example 2

[0648] 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."

[0649] Conventional travel plan suggestion systems typically suggest itineraries based on simple user choices, making it difficult to consider user sentiment and real-time feedback. This makes it difficult to propose optimal travel plans that meet users' true needs. Furthermore, these systems simply accumulate user selection data, lacking mechanisms for effectively analyzing and utilizing that data, limiting their ability to analyze future trends and forecast demand. This has prevented travel agencies and local governments from providing more effective regional revitalization measures and personalized travel plans.

[0650] 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.

[0651] In this invention, the server includes: an input means for a user to input a departure point, budget, and travel concept; a transmission means for collecting the input information and sending it as an HTTP POST request; an analysis means for receiving and analyzing the transmitted information; a search means for searching a database for relevant travel plans based on the analysis results; a presentation means for presenting the travel plans found by the search means to the user in list or card format; an emotion data collection means for collecting and sending emotion data from the user's interactions; an emotion analysis means for analyzing the emotion data and filtering or ranking the search results; a storage means for storing the user's search and selection data and emotion data in a database; an analysis means for periodically analyzing the stored data to identify travel trends and demand; and a provision means for providing the results obtained by the analysis means to a third party. This allows users to obtain optimal travel plans based on their emotions and real-time feedback, and also enables travel agencies and local governments to plan and provide more effective regional revitalization measures and personalized travel plans.

[0652] "Input means" means a device or software that provides a form or interface for a user to input their departure point, budget, and travel concept.

[0653] The "transmission means" is a device or software that has the function of collecting the input information and transmitting it to the server as an HTTP POST request.

[0654] "Analysis means" refers to a device or software that analyzes the information received by the server and converts it into data to be used for searching.

[0655] The "search means" is a device or software that has the function of searching for a relevant travel plan from a database based on the analysis results.

[0656] The "presentation means" is a device or software that has the function of presenting the travel plans searched by the search means to the user in list or card format.

[0657] The "emotion data collection means" is a device or software that has the function of collecting and transmitting emotion data from user interactions.

[0658] The "emotion analysis means" is a device or software that has the function of analyzing the emotion data and filtering or ranking the search results.

[0659] The "storage means" is a device or software that has the function of storing the user's search and selection data and emotion data in a database.

[0660] "Analysis means" refers to a device or software that has the function of periodically analyzing the accumulated data and identifying travel trends and demand.

[0661] The "providing means" is a device or software that has the function of providing the results obtained by the analyzing means to a third party.

[0662] The present invention relates to a system that proposes optimal travel plans by combining an emotion engine with a user's input data and emotion data to generate travel plans in real time and present them to the user.

[0663] Hardware and software used

[0664] Terminal

[0665] Computer devices that are directly operated by users, such as PCs, smartphones, and tablets

[0666] Specific software used: Browser (Google Chrome, Mozilla Firefox, Safari, etc.)

[0667] server

[0668] Cloud servers (Amazon Web Services, Microsoft Azure, Google Cloud Platform, etc.)

[0669] Database: MySQL, PostgreSQL, MongoDB, etc.

[0670] Emotion engine: Google Cloud Natural Language API, IBM Watson Natural Language Understanding, etc.

[0671] System Operation Overview

[0672] The device provides an input form for users to enter the information needed to search for travel plans. Specifically, users enter their departure point, budget, and travel concept in text boxes and drop-down menus. The entered information is sent to the server using an HTTP POST request. The server analyzes the received data and searches for relevant travel plans in its database based on that data.

[0673] The search results are generated in JSON format and sent back from the server to the device. The device parses the received JSON data and displays it in a visually easy-to-understand format for the user. For example, travel plans may be presented in card or list format. The user can select plans that interest them and view detailed information.

[0674] The device records user interactions (clicks, hovers, etc.) and collects emotional data. This emotional data is also sent to the server in real time and analyzed by the emotion engine. Based on the analysis results, search results are re-filtered or ranked to present the user with the best plan.

[0675] The server stores the travel plan the user ultimately selects and the emotional data collected during the search in a database, which enables future travel plan suggestions, trend analysis, demand forecasting, and more.

[0676] Specific examples

[0677] Suppose User A inputs the departure point "Tokyo," the budget "under 50,000 yen," and the travel concept "relaxation." The input information is sent from the device to the server, which analyzes it and searches the database for plans such as "2-day relaxation plan at Hakone hot springs (48,000 yen)" and "1-night resort stay in Nikko (45,000 yen)." The search results are sent to the device, which displays them in list format. When User A selects the "2-day relaxation plan at Hakone hot springs" and checks its details, emotional data is recorded and sent to the server. The emotional engine analyzes the emotional data and determines that the user is in the mood to relax. Based on this, plans that are more relaxing are displayed preferentially.

[0678] Prompt Sentence Examples

[0679] "Please suggest travel plans with a departure point of Tokyo, a budget of 50,000 yen or less, and a travel concept of relaxation. Also, using an emotion engine, if the user is in the mood to relax, please prioritize the plans that best suit that mood."

[0680] As described above, by incorporating user emotional data, the present invention can propose more personalized travel plans, and by providing analytical data to travel agencies and local governments, it can contribute to the creation of new plans and regional revitalization.

[0681] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0682] The flow of this system's program processing

[0683] Step 1: Accepting User Input

[0684] The device provides the user with a form to input their departure point, budget, and trip concept. The user inputs "Tokyo" as the departure point, "Under 50,000 yen" as the budget, and "Relax" as the trip concept. The device saves the input information in the HTML form fields.

[0685] Step 2: Sending an HTTP POST Request

[0686] The device sends the information entered by the user to the server as an HTTP POST request. This request includes the departure point, budget, and travel concept. For example, the information sent is "Departure point: Tokyo, Budget: Under 50,000 yen, Concept: Relax."

[0687] Step 3: Receiving and Parsing the Request

[0688] The server receives the HTTP POST request, parses it, and determines that the data sent is "Departure: Tokyo, Budget: Under 50,000 yen, Concept: Relaxation." The server generates an SQL query based on this data.

[0689] Step 4: Retrieving from the database

[0690] The server uses the SQL query generated by the analysis to search for relevant travel plans from the database. For example, it extracts plans that match the keywords "Tokyo," "under 50,000 yen," and "relaxation." The search results include "2-day relaxation plan at Hakone hot springs (48,000 yen)" and "1-night resort stay in Nikko (45,000 yen)."

[0691] Step 5: Generate and submit search results

[0692] The server serializes the search results into a JSON list and returns it to the device. This JSON data includes detailed information about each travel plan. For example, it will look like this: [{ "name": "2-day relaxing plan at Hakone hot springs", "price": 48000}, { "name": "1 night at a resort in Nikko", "price": 45000}]

[0693] Step 6: Viewing search results

[0694] The device deserializes the received JSON data and displays it in a visually understandable format for the user, either as a card or a list. The user can then click on the plan they are interested in.

[0695] Step 7: Collect and send emotion data

[0696] The device records the user's interactions (e.g., plan selection and clicks). This data is sent to the server as data indicating the user's emotional state. For example, the device records "how many times the user clicked on the relaxation plan."

[0697] Step 8: Analyze the sentiment data

[0698] The server passes the received emotion data to the emotion engine for analysis. Based on the analysis results, it filters or adjusts the ranking of search results. For example, if it determines that the user is in a "feeling like relaxing," relaxation plans will be displayed as search results with priority.

[0699] Step 9: Accumulating Choice and Emotion Data

[0700] The server stores user search and selection data, as well as emotional data, in a database, including information such as user ID, search keywords, selected plans, and emotional state, which will be used to improve the accuracy of future analysis and recommendations.

[0701] Step 10: Analyze your data regularly

[0702] The server periodically analyzes the accumulated data to identify travel trends and demand and generate reports. For example, it may analyze trends such as "demand for relaxation plans is high in the summer."

[0703] Step 11: Providing information to third parties

[0704] The server then provides the generated analysis results to travel agencies and local governments, allowing them to plan new travel plans and local governments to devise regional revitalization measures.

[0705] The above is the processing flow of the travel plan suggestion system based on the information and emotional data entered by the user.

[0706] (Application example 2)

[0707] 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."

[0708] In conventional factory operations, optimizing work efficiency and employee motivation was a challenge. In particular, determining work plans solely based on efficiency often increased employee fatigue and stress, resulting in a decline in overall work efficiency. Furthermore, the lack of a system that could reflect work progress and employee emotional data in real time made it difficult to optimize the work environment.

[0709] The specification processing by the specification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes: input means for the user to input the departure point, budget, and work concept; search means on the server that receives the input information and searches a database for a corresponding work plan; presentation means that presents the work plan searched by the search means to the user; emotion data collection means that collects emotion data from the user's input and interactions; emotion engine means that transmits the emotion data to the server in real time and analyzes it using an emotion engine; analysis means by the server that analyzes the accumulated data and identifies work trends and demands; and provision means that provides the obtained results to third parties. This makes it possible to propose optimal work plans in real time based on the emotion data, thereby simultaneously improving work efficiency and employee satisfaction.

[0710] "Input means" refers to a device or interface that allows a user to input information such as the departure point, budget, and work concept.

[0711] The "search means" refers to a system or program that has the function of searching for the relevant work plan from a database based on input information.

[0712] "Presentation means" refers to a device or method for visually or audibly displaying the retrieved work plan to the user.

[0713] "Emotion data collection means" refers to a device or system that collects emotion data from user input and interaction.

[0714] The "emotion engine means" is a system or program that has the function of analyzing collected emotion data in real time and identifying the user's emotional state.

[0715] "Analysis means" refers to a system or program that has the function of analyzing accumulated data and identifying work trends and demands.

[0716] "Providing means" refers to a device or method for providing analysis results to a third party.

[0717] This invention relates to a system for improving work efficiency in factories. This system allows users to input the starting point, budget, and work concept, and then combines this with an emotion engine to propose an optimal work plan. Details for realizing this system are described below.

[0718] First, an input means is prepared to receive user input data. This can be a terminal such as a tablet or PC, and provides an interface for the user to input the starting point (work location), budget (resources, time), and work concept (such as "fast," "safe," and "efficient"). This allows the user to input information easily.

[0719] Next, the server receives the input information using an HTTP POST request. Based on the received information, the server searches the database for the corresponding work plan. Specifically, it generates an SQL query for the database and performs the process of searching for the work plan.

[0720] The searched work plans are visually displayed to the user through a presentation tool, such as a card or list format, with a user-friendly UI that allows the user to easily browse and select.

[0721] An emotion data collection means is provided to collect emotion data from user inputs and interactions. This allows the user's emotional state to be collected in real time and transmitted to a server. An emotion engine means analyzes the collected emotion data and identifies the user's emotional state. This emotion engine can use existing emotion analysis technology, such as IBM Watson.

[0722] The analyzed emotion data is used to filter and rank the retrieved work plans, which allows the system to present the work plan that best suits the user's emotional state, potentially improving work efficiency.

[0723] In addition, the server stores user search and selection data and sentiment data in a database. This stored data is periodically analyzed and used to identify work trends and demands. The server provides the analysis results to third parties (e.g., factory operators and managers) to provide information for improving operational efficiency and formulating new work plans.

[0724] Examples:

[0725] Assume that a user (worker) inputs the work location "Processing Line 1," the resource "10 hours," the work concept "efficient," and the mood "stressed." This information is sent to the server, which executes an SQL query to search for plans such as "shift plans with breaks (8 hours + 2 hours break)" and "efficient work assignments with workload sharing." The emotion engine analyzes the stress data and ranks the search results based on this. As a result, plans that best fit the user's emotional state are displayed preferentially.

[0726] Example prompt for a generative AI model:

[0727] "Let's assume the user has entered the work location, 'Processing Line 1', resource, '10 hours', work concept, 'Efficient', and emotion data, 'Stressed'. Based on this information, please propose the optimal work plan. The UI should be displayed in card format, and should also include details of the proposed plan."

[0728] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0729] Step 1:

[0730] The user uses the terminal to input the starting point (work location), budget (resources, time), and task concept. The terminal interface has input fields and drop-down menus to allow the user to easily input information. The input information is sent to the server via an HTTP POST request.

[0731] Input: Work location, resource, and work concepts

[0732] Output: HTTP POST request sent to the server

[0733] Step 2:

[0734] The server receives the HTTP POST request, analyzes the input information, generates an SQL query based on the analysis results, and searches the database for the corresponding work plan. The search results are compiled into a list and serialized in JSON format.

[0735] Input: HTTP POST request containing user-entered information

[0736] Output: JSON list of work plans

[0737] Step 3:

[0738] The server returns the generated search results in JSON format to the device, which then deserializes the data and displays it visually to the user. The presentation method is a card format or a list format, and a user-friendly UI is used.

[0739] Input: JSON format search results returned from the server

[0740] Output: A work plan visually presented to the user

[0741] Step 4:

[0742] The device is equipped with sensors and a user interface to collect emotional data from user input and interactions, allowing the user's emotional state to be collected in real time. The collected emotional data is then sent to the server using an HTTP request.

[0743] Input: User emotion data

[0744] Output: Emotion data sent to the server

[0745] Step 5:

[0746] The server then passes the received emotional data to an emotion engine for analysis. The emotion engine uses existing emotion analysis technology, such as IBM Watson. The analyzed emotional data identifies the user's emotional state and uses that data to filter and rank work plans.

[0747] Input: Emotion data sent to the server

[0748] Output: Parsed sentiment data and ranked action plans

[0749] Step 6:

[0750] The server then returns the ranked work plans to the device in JSON format. The device then deserializes the re-received data and presents the work plans to the user in the optimal order, allowing the user to see the optimal work plan based on their emotional state.

[0751] Input: The optimized work plan returned from the server

[0752] Output: A work plan presented to the user in the optimal order

[0753] Step 7:

[0754] When the user selects a work plan, the terminal displays detailed information about the selected plan, including work steps, required resources, and time allocation. The user can review the displayed details and select the final work plan.

[0755] Input: User selects a work plan

[0756] Output: Work plan with detailed information

[0757] Step 8:

[0758] The server stores user search and selection data, as well as emotional data, in a database. This data includes information such as user ID, input keywords, selected plans, and emotional state. The server periodically analyzes this stored data to identify work trends and demands.

[0759] Input: User search / selection data and sentiment data

[0760] Output: Accumulated data and analysis results

[0761] Step 9:

[0762] The server provides the analysis results to a third party (factory operator or manager), which provides information for improving operational efficiency and formulating new work plans. Based on the provided data, the third party can create more effective work plans and operational policies.

[0763] Input: Analysis results

[0764] Output: Analysis results provided to third parties

[0765] 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.

[0766] 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.

[0767] 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.

[0768] [Third embodiment]

[0769] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0770] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0771] 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).

[0772] 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.

[0773] 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.

[0774] 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).

[0775] 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.

[0776] 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.

[0777] 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.

[0778] 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.

[0779] 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.

[0780] 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."

[0781] The present invention relates to a system that proposes relevant travel plans based on a user's input of a departure point, budget, and travel concept. The system includes the following main components:

[0782] 1. Accepting user input

[0783] The device provides users with an input method for inputting their departure point, budget, and travel concept. Specifically, it features a user-friendly interface with drop-down menus and text entry fields. Users enter the required information using this interface.

[0784] 2. Receiving and searching keywords

[0785] The information entered by the user is sent to the server via an HTTP POST request. The server analyzes the received keywords and searches for relevant travel plans by executing an SQL query against the database. For example, if keywords such as "Tokyo," "under 50,000 yen," and "relaxation" are entered, the server generates a corresponding SQL query and extracts appropriate travel plans from the database.

[0786] 3. Generating and sending search results

[0787] The server generates a list of travel plans based on the search results, serializes this list in JSON format, and sends it back to the device. The device deserializes the received data and displays it visually to the user. This list can be displayed in card or list format, and is provided with a user-friendly UI design.

[0788] 4. Check and select plan details

[0789] When a user selects a travel plan that interests them, the device displays detailed information about the plan, including accommodations, travel dates, and options. Based on this information, users can make their final travel plan selection.

[0790] 5. Accumulation of search data

[0791] The server stores the user's search and selection data in a database. This data includes information such as the user's ID, search keywords, and selected plan. For example, if a user searches for "Tokyo," "under 50,000 yen," and "relaxation," and selects "Hakone Hot Springs 2-day relaxation plan," that information will be saved in the database.

[0792] 6. Data Analysis

[0793] The accumulated data is periodically analyzed by the server. The analysis means can identify travel trends and demand based on the data. This information is used to derive analytical results, such as "Many users are looking for relaxing plans departing from Tokyo."

[0794] 7. Provision of Information

[0795] The server provides the analysis results to third parties such as travel agencies and local governments. The analysis results obtained by the provision means are used to create new travel plans and for initiatives to revitalize local areas. Specifically, travel agencies use the analysis information to create new plans, and local governments use it as material for planning tourism promotion measures for their areas.

[0796] Specific examples

[0797] Suppose User A inputs the departure point "Tokyo," the budget "within 50,000 yen," and the travel concept "relaxation." The device sends this information to the server, which executes an SQL query to extract results such as "2-day relaxation plan at Hakone Hot Springs (48,000 yen)" and "1-night resort in Nikko (45,000 yen)." The results are returned to the device in JSON format and presented to User A in a user-friendly format. If User A selects "2-day relaxation plan at Hakone Hot Springs," its details are displayed. This search and selection information is also stored on the server and later provided to the travel agency.

[0798] With the above configuration, users can easily find suitable travel plans, and travel agencies and local governments can plan more effective travel plans and revitalize local areas.

[0799] The processing flow will be explained below.

[0800] Step 1:

[0801] The device displays a form for users to enter their departure point, budget, and travel concept. The form includes text fields and drop-down menus, making it easy for users to enter information.

[0802] Step 2:

[0803] Users enter "Tokyo" as the departure point, "under 50,000 yen" as the budget, and "relaxation" as the travel concept, then click the search button.

[0804] Step 3:

[0805] The device sends the data entered by the user to the server as an HTTP POST request, during which the entered keyword information is converted into an appropriate format and processed for transmission to the server.

[0806] Step 4:

[0807] The server analyzes the received keywords (e.g., "Tokyo," "under 50,000 yen," and "relaxation"). Based on the analyzed keywords, it generates an SQL query for the database. For example, the following query is generated:

[0808] sql

[0809] SELECT FROM travel_plans

[0810] WHERE departure_city = 'Tokyo'

[0811] AND price <= 50000

[0812] AND concept LIKE '%Relax%';

[0813] Step 5:

[0814] The server executes the generated SQL query to the database to search for the corresponding travel plan. The searched data is temporarily stored in the server.

[0815] Step 6:

[0816] The server serializes the search results in JSON format and returns them to the device. At this time, the serialized data is sent to the device via the network.

[0817] Step 7:

[0818] The device deserializes the JSON data sent from the server and displays it in a human-readable format, using user-friendly UIs such as cards and lists.

[0819] Step 8:

[0820] Users can select the travel plan they are interested in from the displayed options, for example, "2-day relaxing trip to Hakone hot springs."

[0821] Step 9:

[0822] The terminal displays detailed information about the selected travel plan, including information about accommodations, travel dates, and options.

[0823] Step 10:

[0824] The server stores the user's search and selection data in a database, including the user ID, search keywords, and the selected plan ID.

[0825] sql

[0826] INSERT INTO search_logs (user_id, departure_city, price, concept, selected_plan_id)

[0827] VALUES (user_id, 'Tokyo', 50000, 'Relax', selected_plan_id);

[0828] Step 11:

[0829] The server periodically analyzes the accumulated search data, using analytical tools to identify travel trends and demand and generate reports, such as the number of searches per travel concept and the ranking of selected plans.

[0830] Step 12:

[0831] The server then provides the generated analysis results report to travel agencies and local governments, who use the information to plan new travel plans and revitalize local areas.

[0832] Example 1

[0833] 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."

[0834] In today's travel planning environment, choosing the best plan from a wide variety of destinations, budgets, and purposes is complicated and takes time and effort. It is also difficult for travel agencies and local governments to accurately understand users' needs and efficiently create new travel plans or implement measures to revitalize local areas. This makes it difficult for users to find travel plans that satisfy them, limiting the ability to improve services across the entire travel industry.

[0835] 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.

[0836] In this invention, the server includes: an input means for a user to input a departure point, budget, and travel concept; a search means for receiving the input information on the server and searching for a corresponding travel plan from a database; a presentation means for presenting the travel plans found by the search means to the user; a storage means for storing the user's search and selection data; an analysis means for analyzing the stored data and identifying travel trends and demand; a provision means for providing the results obtained by the analysis means to third parties; a communication means for sending the user's input information as an HTTP POST request and receiving it from the server; a serialization means for serializing the provided travel plans in JSON format and sending them to a terminal; and a display means for displaying detailed information about the selected travel plan when the user selects it. This allows users to easily find an appropriate travel plan, and travel agencies and local governments can efficiently provide travel plans based on users' needs and revitalize local areas.

[0837] "Input method" refers to the interface through which users input their departure point, budget, and travel concept, and is a user-friendly method that may include drop-down menus, text input fields, etc.

[0838] The "search means" is a means for analyzing the user's input information received on the server and searching for the corresponding travel plan from the database.

[0839] The "presentation means" is a means for visually presenting the travel plans found by the search means to the user, and is a means for displaying the plans in a user-friendly format such as a card format or a list format.

[0840] "Storage means" means means for storing user search and selection data in a database.

[0841] "Analysis tools" are means for analyzing accumulated data and identifying travel trends and demand.

[0842] The "means of provision" refers to the means of providing the results obtained by the analysis means to a third party and providing information for creating travel plans and revitalizing local areas.

[0843] "Communication means" refers to the means by which the user's input information is sent as an HTTP POST request and received by the server.

[0844] The "serialization means" is a means for serializing the travel plans in the search results in JSON format and sending them to the terminal.

[0845] The "display means" is a means for displaying detailed information about the travel plan selected by the user.

[0846] The present invention relates to a system that proposes relevant travel plans based on a user's input of the departure point, budget, and travel concept. The system's main components include a terminal that accepts user input, a server that analyzes data and performs search processing, and an interface that presents search results to the user.

[0847] 1. Accepting user input

[0848] The device provides a user-friendly interface for entering detailed travel requirements, including drop-down menus and text entry fields. Users can enter information such as "Tokyo," "Under 50,000 yen," and "Relax."

[0849] 2. Receiving and searching keywords

[0850] The terminal sends the information entered by the user to the server via an HTTP POST request. This communication method transmits the user's search criteria to the server. The server analyzes the received information and generates an appropriate SQL query. Using a search method that searches the database for the relevant travel plan, it executes a query such as "SELECT FROM travel plan WHERE departure point='Tokyo' AND budget <= 50000 AND concept='Relax'".

[0851] 3. Generating and sending search results

[0852] The server serializes the travel plan data retrieved from the database in JSON format, and sends the formatted data to the device via the serialization method. The device deserializes the received data and displays it to the user in a user-friendly UI design such as a card or list.

[0853] 4. Check and select plan details

[0854] The user selects from the displayed travel plans the plan they are interested in. The terminal includes a display means for displaying detailed information about the selected plan, including accommodations, travel dates, options, etc.

[0855] 5. Accumulation of search data

[0856] The server uses a storage means to store user search and selection data in a database, including user ID, search keywords, details of selected plan, etc.

[0857] 6. Data Analysis

[0858] The accumulated data is periodically analyzed by the server. Analytical means are used to identify travel trends and demand based on the data. This information can be obtained as an analysis result, such as "Many users are looking for relaxing plans departing from Tokyo."

[0859] 7. Provision of Information

[0860] The server includes a means for providing the analysis results to third parties such as travel agencies and local governments. The analysis results obtained by the means for providing the analysis results are used to create new travel plans and for efforts to revitalize local areas. Specifically, travel agencies use the analysis information to create new plans, and local governments use it as material for planning tourism promotion measures for their areas.

[0861] Specific examples

[0862] Suppose User A inputs the departure point "Tokyo," the budget "Under 50,000 yen," and the travel concept "Relaxation." The device sends this information to the server, which executes the SQL query "SELECT FROM Travel Plan WHERE Departure point = 'Tokyo' AND Budget <= 50,000 AND Concept = 'Relaxation'" to extract results such as "2-day relaxation plan at Hakone Hot Springs (48,000 yen)" and "1-night resort stay in Nikko (45,000 yen)." The results are returned to the device in JSON format and presented to User A in a user-friendly format. When User A selects "2-day relaxation plan at Hakone Hot Springs," its details are displayed. This search and selection information is also stored on the server and later provided to travel agencies.

[0863] Examples of prompts using generative AI models include:

[0864] "Please tell me a relaxing trip plan for less than 50,000 yen from Tokyo."

[0865] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0866] Step 1:

[0867] Accepting user input

[0868] The device provides an interface for users to enter detailed travel requirements. This interface includes drop-down menus and text input fields, where users can enter their departure point, budget, and travel concept. The entered information (e.g., "Tokyo," "Under 50,000 yen," "Relax") is collected by the device.

[0869] Step 2:

[0870] Receiving and searching keywords

[0871] The device sends the entered information to the server as an HTTP POST request (input: user's search criteria). The server receives this request and checks the integrity of the entered data (data processing: data validation). It then generates the appropriate SQL query and executes the query against the database (output: search results). For example, the server executes the SQL query "SELECT FROM travel plan WHERE departure point = 'Tokyo' AND budget <= 50000 AND concept = 'relax'".

[0872] Step 3:

[0873] Generating and submitting search results

[0874] The server serializes the travel plan data retrieved from the database in JSON format (input: search results from the database). It then sends the serialized data to the device (output: data in JSON format). For example, the server might send data in the format "[{Plan ID: 1, Plan Name: 'Relaxing plan for 2 days at Hakone hot springs', Price: 48000}, {Plan ID: 2, Plan Name: 'One night stay at a resort in Nikko', Price: 45000}]" to the device.

[0875] Step 4:

[0876] Displaying search results

[0877] The terminal deserializes the received JSON data and displays it visually to the user (input: JSON format data). For example, the terminal displays travel plans such as "2-day relaxing plan at Hakone hot springs" or "1 night at a resort in Nikko" in card format or list format (output: visual plan list).

[0878] Step 5:

[0879] Check and select plan details

[0880] The user selects a travel plan of interest (input: user selection). The device displays detailed information about the selected plan (input: selected plan ID, output: detailed information). Specifically, the device displays detailed information about the "2-day Hakone Hot Springs Relaxation Plan" (e.g., accommodation, travel itinerary, options).

[0881] Step 6:

[0882] Accumulation of search data

[0883] The server saves the user's search and selection data in a database (input: user ID, search keyword, selected plan details, output: save to database). For example, the server accumulates data by executing SQL such as "INSERT INTO search history (user ID, keyword, selected plan ID) VALUES ('user123', 'Tokyo, under 50,000 yen, Relax', 1)".

[0884] Step 7:

[0885] Data analysis

[0886] Periodically, the server analyzes the accumulated data (input: search history stored in the database, output: analysis results). The server executes a query such as "SELECT keyword, COUNT() FROM search history GROUP BY keyword" to identify users' travel trends and demands. For example, the result may be "Many users are looking for relaxing plans departing from Tokyo."

[0887] Step 8:

[0888] Providing information

[0889] The server provides the analysis results to third parties such as travel agencies and local governments (input: analysis results, output: provided information). This information is used by travel agencies to create new travel plans and by local governments as reference material for planning tourism promotion measures. Specifically, travel agencies can use the analysis information to create new plans, and local governments can use it to plan tourism promotion measures for their areas.

[0890] (Application example 1)

[0891] 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."

[0892] Conventional travel plan suggestion systems only require users to input their departure point, budget, and travel concept to search for and suggest travel plans, and do not consider food delivery suggestions based on food preferences or location information. As a result, users are unable to centrally manage their travel plans and dining options while on the go, resulting in low convenience. In particular, users who want to quickly find meal plans while traveling or on the go find it cumbersome to have to use multiple services. In response to this, the objective of this invention is to provide a system that can suggest appropriate food delivery plans and centrally manage this information by allowing users to input their location, budget, and food preferences.

[0893] 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.

[0894] In this invention, the server includes input means for a user to input their departure point, budget, and travel concept, or their location, budget, and food preferences, search means on the server that receives the input information and searches a database for a corresponding travel plan or food delivery plan, presentation means that presents the travel plan or food delivery plan found by the search means to the user, storage means that stores the user's search and selection data, analysis means that analyzes the stored data and identifies travel trends and demand or food delivery trends and demand, and provision means that provides the results obtained by the analysis means to third parties. This allows users to centrally manage even their meal plans when making travel plans, making it possible to provide a highly convenient service.

[0895] "Input means" refers to a means that provides an interface for a user to input their departure point, budget, and travel concept, or their location, budget, and food preferences.

[0896] The "search means" is a means for receiving the input information on the server and searching the database for the corresponding travel plan or food delivery plan.

[0897] The "presentation means" is a means for visually presenting to the user the travel plan or food delivery plan searched by the search means.

[0898] "Storage means" means a means for storing and accumulating the user's search and selection data in a database.

[0899] "Analysis means" refers to means for analyzing the accumulated data and identifying travel trends and demand or food delivery trends and demand.

[0900] The "provision means" is a means for providing the analysis results obtained by the analysis means to a third party.

[0901] The present invention is a system that suggests suitable travel plans or food delivery plans by allowing a user to input their departure point, budget, and travel concept, or their location, budget, and food preferences. The system includes the following main components:

[0902] 1. Accepting user input

[0903] Users enter information using the device's input means. Specifically, a user-friendly interface with drop-down menus and text input fields is provided, allowing users to easily input their departure point, budget, and travel concept, or their location, budget, and food preferences.

[0904] 2. Receiving and searching keywords

[0905] The server receives information entered by the user through the device. Based on the received information, the server executes an SQL query against the database to search for relevant travel plans or food delivery plans. For example, if a user enters the keywords "Shinjuku," "under 3,000 yen," and "Italian," the server generates a corresponding query and extracts appropriate plans from the database.

[0906] 3. Generating and sending search results

[0907] The server generates a list of travel plans and food delivery plans based on the search results. This list is serialized in JSON format and sent back to the device. The device deserializes the received data and displays it visually to the user. The list is displayed in card or list format and is provided with a user-friendly UI design.

[0908] 4. Check and select plan details

[0909] When a user selects a travel plan or food delivery plan that interests them, the device will display detailed information about the plan, including accommodation, travel dates, options, food options, and prices. Based on this information, users can make their final travel plan or food delivery plan selection.

[0910] 5. Accumulation of search data

[0911] The server stores the user's search and selection data in a database. This data includes information such as the user's ID, search keywords, and selected plan. For example, if a user searches for the keywords "Shinjuku," "under 3,000 yen," and "Italian," and selects the "Shinjuku Pizza Margherita Delivery Plan," that information will be saved in the database.

[0912] 6. Data Analysis

[0913] The server periodically analyzes the accumulated data to identify travel and food delivery trends and demand. The results of this analysis can be used to derive trends, such as "Many users are looking for Italian delivery plans within Tokyo."

[0914] 7. Provision of Information

[0915] The server provides the analysis results to third parties. The analysis results can be used by travel agencies and food delivery service providers to create new plans and improve their services. For example, travel agencies can use the analysis information to plan new travel plans, and food delivery service providers can use it as material to improve their menus.

[0916] Specific examples

[0917] For example, suppose a user enters information such as "Shinjuku," "under 3,000 yen," and "Italian." The server uses this information to search the database for relevant food delivery plans, generating results such as "Shinjuku Pizza Margherita Delivery Plan" and "Shinjuku Spaghetti Caprese Plan." The results are then sent to the terminal and presented to the user.

[0918] Prompt Sentence Examples

[0919] An example of a prompt that the user might enter is:

[0920] "Shinjuku", "Under 3000 yen", "Italian"

[0921] This will allow users to not only plan their trips, but also manage their meal plans in one place, providing a highly convenient service.

[0922] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0923] Step 1:

[0924] The user uses the input means of the terminal to input the departure point, budget, travel concept, or location, budget, and food preferences. The user enters this information using drop-down menus or text input fields and clicks the input button. This information is sent to the server as input data.

[0925] Input: User-selected / entered departure point, budget, trip concept, or location, budget, food preferences

[0926] Output: Input data sent to the server

[0927] Step 2:

[0928] The server analyzes the received input data and searches the database for the corresponding travel plans or food delivery plans. The server generates an SQL query based on the received data and executes it against the database. The server extracts the appropriate plans and obtains the search results.

[0929] Input: User-submitted input data

[0930] Output: Query results containing search results

[0931] Step 3:

[0932] The server generates a list of travel plans or food delivery plans based on the search results, serializes it in JSON format, and sends it back to the terminal.The server converts the search results into JSON format data and sends it to the terminal as an HTTP response.

[0933] Input: Search results retrieved from the database

[0934] Output: A list of travel or food delivery offers in JSON format

[0935] Step 4:

[0936] The terminal deserializes the JSON data received from the server and displays it visually to the user. The terminal displays the received data in a card or list format, providing an interface for the user to select a plan.

[0937] Input: JSON data received from the server

[0938] Output: A list of travel or food delivery itineraries visually presented to the user

[0939] Step 5:

[0940] The user selects the plan they are interested in and checks its details. The device displays the details of the selected plan and provides the user with detailed information, allowing the user to check specific accommodations, menus, prices, etc.

[0941] Input: The plan selected by the user

[0942] Output: A screen showing detailed information

[0943] Step 6:

[0944] The server stores the user's search and selection data in a database, and saves the user's selected plan and input information in the database for later analysis.

[0945] Input: User search and selection data

[0946] Output: Accumulated database entries

[0947] Step 7:

[0948] The server periodically analyzes the accumulated data to identify travel trends and demand or food delivery trends and demand. The server applies analytical algorithms to identify trends and generate reports.

[0949] Input: Accumulated data

[0950] Output: Analyzed trend and demand report

[0951] Step 8:

[0952] The server provides the generated reports to third parties, such as travel agencies and food delivery service providers, who use the analysis results to create new plans and improve their services.

[0953] Input: Trend and Demand Report

[0954] Output: Information provided to third parties

[0955] 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.

[0956] This invention relates to a system that proposes optimal travel plans by combining a user's departure point, budget, and travel concept with an emotion engine. This system includes the following main components, and the functions and processing flow of each component will be specifically explained.

[0957] 1. Accepting user input

[0958] The terminal provides input means for users to enter their departure point, budget, and travel concept. The input form includes text fields and drop-down menus, and is designed to make it easy for users to enter information.

[0959] 2. Receiving and searching keywords

[0960] The information entered by the user is sent to the server using an HTTP POST request. The server analyzes the received keywords (e.g., "Tokyo," "under 50,000 yen," and "relaxation") and generates an SQL query against the database. Based on the generated query, the database is searched for matching travel plans.

[0961] 3. Generating and sending search results

[0962] The server generates a list of travel plans based on the search results, serializes the list in JSON format, and sends it back to the device. The device then deserializes the received data and displays it visually to the user. The display format can be a user-friendly UI such as a card format or list format.

[0963] 4. Analysis by Emotion Engine

[0964] The device collects emotional data from the user's input and interactions. The collected emotional data is sent to a server in real time and analyzed by an emotion engine. The emotion engine identifies the user's emotional state and uses that data to filter and rank search results. For example, if the user is in a relaxing mood, it will prioritize travel plans that best suit that mood.

[0965] 5. Check and select plan details

[0966] When a user selects a travel plan that interests them, the device will display detailed information about the plan, including accommodation, travel dates, options, etc. Users can review the details and select a final travel plan.

[0967] 6. Accumulation of search and sentiment data

[0968] The server stores the user's search and selection data, as well as emotional data, in a database. This data includes information such as the user ID, search keywords, selected plan, and emotional state. For example, if a user searches for the keywords "Tokyo," "under 50,000 yen," and "relaxation," and selects the "2-day relaxation plan at Hakone Hot Springs," that information is stored in the database along with the emotional data.

[0969] 7. Data Analysis

[0970] The accumulated data is periodically analyzed by the server. The analysis means identifies travel trends and demand based on the data and generates reports. Emotional data is also analyzed, and trend analysis is performed based on the user's mood and emotions. For example, it is possible to identify changes in emotions and travel plan selection trends during specific seasons or times of the day.

[0971] 8. Provision of Information

[0972] The server provides the generated analysis result report to travel agencies and local governments. The analysis results obtained by the providing means can be used to create new travel plans and for regional revitalization efforts. For example, travel agencies can use the emotion data to plan new relaxation plans, and local governments can use the data as material when planning tourism promotion measures.

[0973] Specific examples

[0974] Suppose User A inputs the departure point "Tokyo," the budget "under 50,000 yen," and the travel concept "relaxation," and also sends emotional data indicating a desire to relax through interaction. The device sends this information to the server, which executes an SQL query to extract results such as "2-day relaxation plan at Hakone hot springs (48,000 yen)" and "1-night resort stay in Nikko (45,000 yen)." The emotional engine analyzes the emotional data for relaxation and ranks the search results based on it. As a result, the plan best suited for relaxation is displayed preferentially. When User A selects "2-day relaxation plan at Hakone hot springs," its details are displayed. Furthermore, this search and selection information, along with the emotional data, is stored on the server and later provided to the travel agency.

[0975] With the above configuration, users can easily find suitable travel plans based on their emotions, and travel agencies and local governments can plan more effective travel plans and revitalize local areas.

[0976] The processing flow will be explained below.

[0977] Step 1:

[0978] The device displays a form for users to enter their departure point, budget, and travel concept. The form includes text fields and drop-down menus, making it easy for users to enter information.

[0979] Step 2:

[0980] Users enter "Tokyo" as the departure point, "under 50,000 yen" as the budget, and "relaxation" as the travel concept, then click the search button.

[0981] Step 3:

[0982] The device sends the data entered by the user to the server as an HTTP POST request, during which the entered keyword information is converted into an appropriate format and processed for transmission to the server.

[0983] Step 4:

[0984] The server analyzes the received keywords (e.g., "Tokyo," "under 50,000 yen," and "relaxation"). Based on the analyzed keywords, it generates an SQL query for the database. For example, the following query is generated:

[0985] sql

[0986] SELECT FROM travel_plans

[0987] WHERE departure_city = 'Tokyo'

[0988] AND price <= 50000

[0989] AND concept LIKE '%Relax%';

[0990] Step 5:

[0991] The server executes the generated SQL query to the database to search for the corresponding travel plan. The searched data is temporarily stored in the server.

[0992] Step 6:

[0993] The server serializes the search results in JSON format and returns them to the device. At this time, the serialized data is sent to the device via the network.

[0994] Step 7:

[0995] The device deserializes the JSON data sent from the server and displays it in a human-readable format, using user-friendly UIs such as cards and lists.

[0996] Step 8:

[0997] The device collects emotional data from user input and interactions, using algorithms to infer emotional state from, for example, facial expression recognition, keyboard typing speed, and keywords in travel itineraries selected.

[0998] Step 9:

[0999] The device sends the collected emotional data to the server in real time, where it is passed to the server along with the user's search keywords as information to be analyzed.

[1000] Step 10:

[1001] The server then analyzes the received emotion data with an emotion engine to determine the user's current emotional state. For example, if the server detects that the user wants to relax, that information is used to filter and rank search results.

[1002] Step 11:

[1003] The server takes into account the emotional state analyzed by the emotion engine and adjusts the priority of search results, so that for users who want to relax, the results are adjusted so that plans that are best suited to relaxation are displayed at the top.

[1004] Step 12:

[1005] The device then presents the adjusted search results back to the user, which may be filtered or ranked according to the user's emotional state.

[1006] Step 13:

[1007] Users can select the travel plan they are interested in from the displayed options, for example, "2-day relaxing trip to Hakone hot springs."

[1008] Step 14:

[1009] The terminal displays detailed information about the selected itinerary, including accommodations, travel dates, and options.

[1010] Step 15:

[1011] The server stores the user's search and selection data and emotional data in a database, including the user ID, search keywords, selected plan ID, and emotional state.

[1012] sql

[1013] INSERT INTO search_logs (user_id, departure_city, price, concept, selected_plan_id, emotion)

[1014] VALUES (user_id, 'Tokyo', 50000, 'Relaxed', selected_plan_id, 'relaxed');

[1015] Step 16:

[1016] The server periodically analyzes the accumulated search and emotion data, and generates reports based on the analysis to identify patterns of travel trends, demand, and emotional state fluctuations.

[1017] Step 17:

[1018] The server then provides the generated analysis results report to travel agencies and local governments. The provided information can be used to create new travel plans and promote local areas. Travel agencies can use the emotion data to create new relaxation plans, and local governments can use it as material for planning tourism promotion measures.

[1019] Example 2

[1020] 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."

[1021] Conventional travel plan suggestion systems typically suggest itineraries based on simple user choices, making it difficult to consider user sentiment and real-time feedback. This makes it difficult to propose optimal travel plans that meet users' true needs. Furthermore, these systems simply accumulate user selection data, lacking mechanisms for effectively analyzing and utilizing that data, limiting their ability to analyze future trends and forecast demand. This has prevented travel agencies and local governments from providing more effective regional revitalization measures and personalized travel plans.

[1022] 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.

[1023] In this invention, the server includes: an input means for a user to input a departure point, budget, and travel concept; a transmission means for collecting the input information and sending it as an HTTP POST request; an analysis means for receiving and analyzing the transmitted information; a search means for searching a database for relevant travel plans based on the analysis results; a presentation means for presenting the travel plans found by the search means to the user in list or card format; an emotion data collection means for collecting and sending emotion data from the user's interactions; an emotion analysis means for analyzing the emotion data and filtering or ranking the search results; a storage means for storing the user's search and selection data and emotion data in a database; an analysis means for periodically analyzing the stored data to identify travel trends and demand; and a provision means for providing the results obtained by the analysis means to a third party. This allows users to obtain optimal travel plans based on their emotions and real-time feedback, and also enables travel agencies and local governments to plan and provide more effective regional revitalization measures and personalized travel plans.

[1024] "Input means" means a device or software that provides a form or interface for a user to input their departure point, budget, and travel concept.

[1025] The "transmission means" is a device or software that has the function of collecting the input information and transmitting it to the server as an HTTP POST request.

[1026] "Analysis means" refers to a device or software that analyzes the information received by the server and converts it into data to be used for searching.

[1027] The "search means" is a device or software that has the function of searching for a relevant travel plan from a database based on the analysis results.

[1028] The "presentation means" is a device or software that has the function of presenting the travel plans searched by the search means to the user in list or card format.

[1029] The "emotion data collection means" is a device or software that has the function of collecting and transmitting emotion data from user interactions.

[1030] The "emotion analysis means" is a device or software that has the function of analyzing the emotion data and filtering or ranking the search results.

[1031] The "storage means" is a device or software that has the function of storing the user's search and selection data and emotion data in a database.

[1032] "Analysis means" refers to a device or software that has the function of periodically analyzing the accumulated data and identifying travel trends and demand.

[1033] The "providing means" is a device or software that has the function of providing the results obtained by the analyzing means to a third party.

[1034] The present invention relates to a system that proposes optimal travel plans by combining an emotion engine with a user's input data and emotion data to generate travel plans in real time and present them to the user.

[1035] Hardware and software used

[1036] Terminal

[1037] Computer devices that are directly operated by users, such as PCs, smartphones, and tablets

[1038] Specific software used: Browser (Google Chrome, Mozilla Firefox, Safari, etc.)

[1039] server

[1040] Cloud servers (Amazon Web Services, Microsoft Azure, Google Cloud Platform, etc.)

[1041] Database: MySQL, PostgreSQL, MongoDB, etc.

[1042] Emotion engine: Google Cloud Natural Language API, IBM Watson Natural Language Understanding, etc.

[1043] System Operation Overview

[1044] The device provides an input form for users to enter the information needed to search for travel plans. Specifically, users enter their departure point, budget, and travel concept in text boxes and drop-down menus. The entered information is sent to the server using an HTTP POST request. The server analyzes the received data and searches for relevant travel plans in its database based on that data.

[1045] The search results are generated in JSON format and sent back from the server to the device. The device parses the received JSON data and displays it in a visually easy-to-understand format for the user. For example, travel plans may be presented in card or list format. The user can select plans that interest them and view detailed information.

[1046] The device records user interactions (clicks, hovers, etc.) and collects emotional data. This emotional data is also sent to the server in real time and analyzed by the emotion engine. Based on the analysis results, search results are re-filtered or ranked to present the user with the best plan.

[1047] The server stores the travel plan the user ultimately selects and the emotional data collected during the search in a database, which enables future travel plan suggestions, trend analysis, demand forecasting, and more.

[1048] Specific examples

[1049] Suppose User A inputs the departure point "Tokyo," the budget "under 50,000 yen," and the travel concept "relaxation." The input information is sent from the device to the server, which analyzes it and searches the database for plans such as "2-day relaxation plan at Hakone hot springs (48,000 yen)" and "1-night resort stay in Nikko (45,000 yen)." The search results are sent to the device, which displays them in list format. When User A selects the "2-day relaxation plan at Hakone hot springs" and checks its details, emotional data is recorded and sent to the server. The emotional engine analyzes the emotional data and determines that the user is in the mood to relax. Based on this, plans that are more relaxing are displayed preferentially.

[1050] Prompt Sentence Examples

[1051] "Please suggest travel plans with a departure point of Tokyo, a budget of 50,000 yen or less, and a travel concept of relaxation. Also, using an emotion engine, if the user is in the mood to relax, please prioritize the plans that best suit that mood."

[1052] As described above, by incorporating user emotional data, the present invention can propose more personalized travel plans, and by providing analytical data to travel agencies and local governments, it can contribute to the creation of new plans and regional revitalization.

[1053] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1054] The flow of this system's program processing

[1055] Step 1: Accepting User Input

[1056] The device provides the user with a form to input their departure point, budget, and trip concept. The user inputs "Tokyo" as the departure point, "Under 50,000 yen" as the budget, and "Relax" as the trip concept. The device saves the input information in the HTML form fields.

[1057] Step 2: Sending an HTTP POST Request

[1058] The device sends the information entered by the user to the server as an HTTP POST request. This request includes the departure point, budget, and travel concept. For example, the information sent is "Departure point: Tokyo, Budget: Under 50,000 yen, Concept: Relax."

[1059] Step 3: Receiving and Parsing the Request

[1060] The server receives the HTTP POST request, parses it, and determines that the data sent is "Departure: Tokyo, Budget: Under 50,000 yen, Concept: Relaxation." The server generates an SQL query based on this data.

[1061] Step 4: Retrieving from the database

[1062] The server uses the SQL query generated by the analysis to search for relevant travel plans from the database. For example, it extracts plans that match the keywords "Tokyo," "under 50,000 yen," and "relaxation." The search results include "2-day relaxation plan at Hakone hot springs (48,000 yen)" and "1-night resort stay in Nikko (45,000 yen)."

[1063] Step 5: Generate and submit search results

[1064] The server serializes the search results into a JSON list and returns it to the device. This JSON data includes detailed information about each travel plan. For example, it will look like this: [{ "name": "2-day relaxing plan at Hakone hot springs", "price": 48000}, { "name": "1 night at a resort in Nikko", "price": 45000}]

[1065] Step 6: Viewing search results

[1066] The device deserializes the received JSON data and displays it in a visually understandable format for the user, either as a card or a list. The user can then click on the plan they are interested in.

[1067] Step 7: Collect and send emotion data

[1068] The device records the user's interactions (e.g., plan selection and clicks). This data is sent to the server as data indicating the user's emotional state. For example, the device records "how many times the user clicked on the relaxation plan."

[1069] Step 8: Analyze the sentiment data

[1070] The server passes the received emotion data to the emotion engine for analysis. Based on the analysis results, it filters or adjusts the ranking of search results. For example, if it determines that the user is in a "feeling like relaxing," relaxation plans will be displayed as search results with priority.

[1071] Step 9: Accumulating Choice and Emotion Data

[1072] The server stores user search and selection data, as well as emotional data, in a database, including information such as user ID, search keywords, selected plans, and emotional state, which will be used to improve the accuracy of future analysis and recommendations.

[1073] Step 10: Analyze your data regularly

[1074] The server periodically analyzes the accumulated data to identify travel trends and demand and generate reports. For example, it may analyze trends such as "demand for relaxation plans is high in the summer."

[1075] Step 11: Providing information to third parties

[1076] The server then provides the generated analysis results to travel agencies and local governments, allowing them to plan new travel plans and local governments to devise regional revitalization measures.

[1077] The above is the processing flow of the travel plan suggestion system based on the information and emotional data entered by the user.

[1078] (Application example 2)

[1079] 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."

[1080] In conventional factory operations, optimizing work efficiency and employee motivation was a challenge. In particular, determining work plans solely based on efficiency often increased employee fatigue and stress, resulting in a decline in overall work efficiency. Furthermore, the lack of a system that could reflect work progress and employee emotional data in real time made it difficult to optimize the work environment.

[1081] The specification processing by the specification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes: input means for the user to input the departure point, budget, and work concept; search means on the server that receives the input information and searches a database for a corresponding work plan; presentation means that presents the work plan searched by the search means to the user; emotion data collection means that collects emotion data from the user's input and interactions; emotion engine means that transmits the emotion data to the server in real time and analyzes it using an emotion engine; analysis means by the server that analyzes the accumulated data and identifies work trends and demands; and provision means that provides the obtained results to third parties. This makes it possible to propose optimal work plans in real time based on the emotion data, thereby simultaneously improving work efficiency and employee satisfaction.

[1082] "Input means" refers to a device or interface that allows a user to input information such as the departure point, budget, and work concept.

[1083] The "search means" refers to a system or program that has the function of searching for the relevant work plan from a database based on input information.

[1084] "Presentation means" refers to a device or method for visually or audibly displaying the retrieved work plan to the user.

[1085] "Emotion data collection means" refers to a device or system that collects emotion data from user input and interaction.

[1086] The "emotion engine means" is a system or program that has the function of analyzing collected emotion data in real time and identifying the user's emotional state.

[1087] "Analysis means" refers to a system or program that has the function of analyzing accumulated data and identifying work trends and demands.

[1088] "Providing means" refers to a device or method for providing analysis results to a third party.

[1089] This invention relates to a system for improving work efficiency in factories. This system allows users to input the starting point, budget, and work concept, and then combines this with an emotion engine to propose an optimal work plan. Details for realizing this system are described below.

[1090] First, an input means is prepared to receive user input data. This can be a terminal such as a tablet or PC, and provides an interface for the user to input the starting point (work location), budget (resources, time), and work concept (such as "fast," "safe," and "efficient"). This allows the user to input information easily.

[1091] Next, the server receives the input information using an HTTP POST request. Based on the received information, the server searches the database for the corresponding work plan. Specifically, it generates an SQL query for the database and performs the process of searching for the work plan.

[1092] The searched work plans are visually displayed to the user through a presentation tool, such as a card or list format, with a user-friendly UI that allows the user to easily browse and select.

[1093] An emotion data collection means is provided to collect emotion data from user inputs and interactions. This allows the user's emotional state to be collected in real time and transmitted to a server. An emotion engine means analyzes the collected emotion data and identifies the user's emotional state. This emotion engine can use existing emotion analysis technology, such as IBM Watson.

[1094] The analyzed emotion data is used to filter and rank the retrieved work plans, which allows the system to present the work plan that best suits the user's emotional state, potentially improving work efficiency.

[1095] In addition, the server stores user search and selection data and sentiment data in a database. This stored data is periodically analyzed and used to identify work trends and demands. The server provides the analysis results to third parties (e.g., factory operators and managers) to provide information for improving operational efficiency and formulating new work plans.

[1096] Examples:

[1097] Assume that a user (worker) inputs the work location "Processing Line 1," the resource "10 hours," the work concept "efficient," and the mood "stressed." This information is sent to the server, which executes an SQL query to search for plans such as "shift plans with breaks (8 hours + 2 hours break)" and "efficient work assignments with workload sharing." The emotion engine analyzes the stress data and ranks the search results based on this. As a result, plans that best fit the user's emotional state are displayed preferentially.

[1098] Example prompt for a generative AI model:

[1099] "Let's assume the user has entered the work location, 'Processing Line 1', resource, '10 hours', work concept, 'Efficient', and emotion data, 'Stressed'. Based on this information, please propose the optimal work plan. The UI should be displayed in card format, and should also include details of the proposed plan."

[1100] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1101] Step 1:

[1102] The user uses the terminal to input the starting point (work location), budget (resources, time), and task concept. The terminal interface has input fields and drop-down menus to allow the user to easily input information. The input information is sent to the server via an HTTP POST request.

[1103] Input: Work location, resource, and work concepts

[1104] Output: HTTP POST request sent to the server

[1105] Step 2:

[1106] The server receives the HTTP POST request, analyzes the input information, generates an SQL query based on the analysis results, and searches the database for the corresponding work plan. The search results are compiled into a list and serialized in JSON format.

[1107] Input: HTTP POST request containing user-entered information

[1108] Output: JSON list of work plans

[1109] Step 3:

[1110] The server returns the generated search results in JSON format to the device, which then deserializes the data and displays it visually to the user. The presentation method is a card format or a list format, and a user-friendly UI is used.

[1111] Input: JSON format search results returned from the server

[1112] Output: A work plan visually presented to the user

[1113] Step 4:

[1114] The device is equipped with sensors and a user interface to collect emotional data from user input and interactions, allowing the user's emotional state to be collected in real time. The collected emotional data is then sent to the server using an HTTP request.

[1115] Input: User emotion data

[1116] Output: Emotion data sent to the server

[1117] Step 5:

[1118] The server then passes the received emotional data to an emotion engine for analysis. The emotion engine uses existing emotion analysis technology, such as IBM Watson. The analyzed emotional data identifies the user's emotional state and uses that data to filter and rank work plans.

[1119] Input: Emotion data sent to the server

[1120] Output: Parsed sentiment data and ranked action plans

[1121] Step 6:

[1122] The server then returns the ranked work plans to the device in JSON format. The device then deserializes the re-received data and presents the work plans to the user in the optimal order, allowing the user to see the optimal work plan based on their emotional state.

[1123] Input: The optimized work plan returned from the server

[1124] Output: A work plan presented to the user in the optimal order

[1125] Step 7:

[1126] When the user selects a work plan, the terminal displays detailed information about the selected plan, including work steps, required resources, and time allocation. The user can review the displayed details and select the final work plan.

[1127] Input: User selects a work plan

[1128] Output: Work plan with detailed information

[1129] Step 8:

[1130] The server stores user search and selection data, as well as emotional data, in a database. This data includes information such as user ID, input keywords, selected plans, and emotional state. The server periodically analyzes this stored data to identify work trends and demands.

[1131] Input: User search / selection data and sentiment data

[1132] Output: Accumulated data and analysis results

[1133] Step 9:

[1134] The server provides the analysis results to a third party (factory operator or manager), which provides information for improving operational efficiency and formulating new work plans. Based on the provided data, the third party can create more effective work plans and operational policies.

[1135] Input: Analysis results

[1136] Output: Analysis results provided to third parties

[1137] 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.

[1138] 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.

[1139] 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.

[1140] [Fourth embodiment]

[1141] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1142] 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.

[1143] 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).

[1144] 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.

[1145] 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.

[1146] 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).

[1147] 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.

[1148] 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.

[1149] 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.

[1150] 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.

[1151] 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.

[1152] 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.

[1153] 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."

[1154] The present invention relates to a system that proposes relevant travel plans based on a user's input of a departure point, budget, and travel concept. The system includes the following main components:

[1155] 1. Accepting user input

[1156] The device provides users with an input method for inputting their departure point, budget, and travel concept. Specifically, it features a user-friendly interface with drop-down menus and text entry fields. Users enter the required information using this interface.

[1157] 2. Receiving and searching keywords

[1158] The information entered by the user is sent to the server via an HTTP POST request. The server analyzes the received keywords and searches for relevant travel plans by executing an SQL query against the database. For example, if keywords such as "Tokyo," "under 50,000 yen," and "relaxation" are entered, the server generates a corresponding SQL query and extracts appropriate travel plans from the database.

[1159] 3. Generating and sending search results

[1160] The server generates a list of travel plans based on the search results, serializes this list in JSON format, and sends it back to the device. The device deserializes the received data and displays it visually to the user. This list can be displayed in card or list format, and is provided with a user-friendly UI design.

[1161] 4. Check and select plan details

[1162] When a user selects a travel plan that interests them, the device displays detailed information about the plan, including accommodations, travel dates, and options. Based on this information, users can make their final travel plan selection.

[1163] 5. Accumulation of search data

[1164] The server stores the user's search and selection data in a database. This data includes information such as the user's ID, search keywords, and selected plan. For example, if a user searches for "Tokyo," "under 50,000 yen," and "relaxation," and selects "Hakone Hot Springs 2-day relaxation plan," that information will be saved in the database.

[1165] 6. Data Analysis

[1166] The accumulated data is periodically analyzed by the server. The analysis means can identify travel trends and demand based on the data. This information is used to derive analytical results, such as "Many users are looking for relaxing plans departing from Tokyo."

[1167] 7. Provision of Information

[1168] The server provides the analysis results to third parties such as travel agencies and local governments. The analysis results obtained by the provision means are used to create new travel plans and for initiatives to revitalize local areas. Specifically, travel agencies use the analysis information to create new plans, and local governments use it as material for planning tourism promotion measures for their areas.

[1169] Specific examples

[1170] Suppose User A inputs the departure point "Tokyo," the budget "within 50,000 yen," and the travel concept "relaxation." The device sends this information to the server, which executes an SQL query to extract results such as "2-day relaxation plan at Hakone Hot Springs (48,000 yen)" and "1-night resort in Nikko (45,000 yen)." The results are returned to the device in JSON format and presented to User A in a user-friendly format. If User A selects "2-day relaxation plan at Hakone Hot Springs," its details are displayed. This search and selection information is also stored on the server and later provided to the travel agency.

[1171] With the above configuration, users can easily find suitable travel plans, and travel agencies and local governments can plan more effective travel plans and revitalize local areas.

[1172] The processing flow will be explained below.

[1173] Step 1:

[1174] The device displays a form for users to enter their departure point, budget, and travel concept. The form includes text fields and drop-down menus, making it easy for users to enter information.

[1175] Step 2:

[1176] Users enter "Tokyo" as the departure point, "under 50,000 yen" as the budget, and "relaxation" as the travel concept, then click the search button.

[1177] Step 3:

[1178] The device sends the data entered by the user to the server as an HTTP POST request, during which the entered keyword information is converted into an appropriate format and processed for transmission to the server.

[1179] Step 4:

[1180] The server analyzes the received keywords (e.g., "Tokyo," "under 50,000 yen," and "relaxation"). Based on the analyzed keywords, it generates an SQL query for the database. For example, the following query is generated:

[1181] sql

[1182] SELECT FROM travel_plans

[1183] WHERE departure_city = 'Tokyo'

[1184] AND price <= 50000

[1185] AND concept LIKE '%Relax%';

[1186] Step 5:

[1187] The server executes the generated SQL query to the database to search for the corresponding travel plan. The searched data is temporarily stored in the server.

[1188] Step 6:

[1189] The server serializes the search results in JSON format and returns them to the device. At this time, the serialized data is sent to the device via the network.

[1190] Step 7:

[1191] The device deserializes the JSON data sent from the server and displays it in a human-readable format, using user-friendly UIs such as cards and lists.

[1192] Step 8:

[1193] Users can select the travel plan they are interested in from the displayed options, for example, "2-day relaxing trip to Hakone hot springs."

[1194] Step 9:

[1195] The terminal displays detailed information about the selected travel plan, including information about accommodations, travel dates, and options.

[1196] Step 10:

[1197] The server stores the user's search and selection data in a database, including the user ID, search keywords, and the selected plan ID.

[1198] sql

[1199] INSERT INTO search_logs (user_id, departure_city, price, concept, selected_plan_id)

[1200] VALUES (user_id, 'Tokyo', 50000, 'Relax', selected_plan_id);

[1201] Step 11:

[1202] The server periodically analyzes the accumulated search data, using analytical tools to identify travel trends and demand and generate reports, such as the number of searches per travel concept and the ranking of selected plans.

[1203] Step 12:

[1204] The server then provides the generated analysis results report to travel agencies and local governments, who use the information to plan new travel plans and revitalize local areas.

[1205] Example 1

[1206] 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."

[1207] In today's travel planning environment, choosing the best plan from a wide variety of destinations, budgets, and purposes is complicated and takes time and effort. It is also difficult for travel agencies and local governments to accurately understand users' needs and efficiently create new travel plans or implement measures to revitalize local areas. This makes it difficult for users to find travel plans that satisfy them, limiting the ability to improve services across the entire travel industry.

[1208] 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.

[1209] In this invention, the server includes: an input means for a user to input a departure point, budget, and travel concept; a search means for receiving the input information on the server and searching for a corresponding travel plan from a database; a presentation means for presenting the travel plans found by the search means to the user; a storage means for storing the user's search and selection data; an analysis means for analyzing the stored data and identifying travel trends and demand; a provision means for providing the results obtained by the analysis means to third parties; a communication means for sending the user's input information as an HTTP POST request and receiving it from the server; a serialization means for serializing the provided travel plans in JSON format and sending them to a terminal; and a display means for displaying detailed information about the selected travel plan when the user selects it. This allows users to easily find an appropriate travel plan, and travel agencies and local governments can efficiently provide travel plans based on users' needs and revitalize local areas.

[1210] "Input method" refers to the interface through which users input their departure point, budget, and travel concept, and is a user-friendly method that may include drop-down menus, text input fields, etc.

[1211] The "search means" is a means for analyzing the user's input information received on the server and searching for the corresponding travel plan from the database.

[1212] The "presentation means" is a means for visually presenting the travel plans found by the search means to the user, and is a means for displaying the plans in a user-friendly format such as a card format or a list format.

[1213] "Storage means" means means for storing user search and selection data in a database.

[1214] "Analysis tools" are means for analyzing accumulated data and identifying travel trends and demand.

[1215] The "means of provision" refers to the means of providing the results obtained by the analysis means to a third party and providing information for creating travel plans and revitalizing local areas.

[1216] "Communication means" refers to the means by which the user's input information is sent as an HTTP POST request and received by the server.

[1217] The "serialization means" is a means for serializing the travel plans in the search results in JSON format and sending them to the terminal.

[1218] The "display means" is a means for displaying detailed information about the travel plan selected by the user.

[1219] The present invention relates to a system that proposes relevant travel plans based on a user's input of the departure point, budget, and travel concept. The system's main components include a terminal that accepts user input, a server that analyzes data and performs search processing, and an interface that presents search results to the user.

[1220] 1. Accepting user input

[1221] The device provides a user-friendly interface for entering detailed travel requirements, including drop-down menus and text entry fields. Users can enter information such as "Tokyo," "Under 50,000 yen," and "Relax."

[1222] 2. Receiving and searching keywords

[1223] The terminal sends the information entered by the user to the server via an HTTP POST request. This communication method transmits the user's search criteria to the server. The server analyzes the received information and generates an appropriate SQL query. Using a search method that searches the database for the relevant travel plan, it executes a query such as "SELECT FROM travel plan WHERE departure point='Tokyo' AND budget <= 50000 AND concept='Relax'".

[1224] 3. Generating and sending search results

[1225] The server serializes the travel plan data retrieved from the database in JSON format, and sends the formatted data to the device via the serialization method. The device deserializes the received data and displays it to the user in a user-friendly UI design such as a card or list.

[1226] 4. Check and select plan details

[1227] The user selects from the displayed travel plans the plan they are interested in. The terminal includes a display means for displaying detailed information about the selected plan, including accommodations, travel dates, options, etc.

[1228] 5. Accumulation of search data

[1229] The server uses a storage means to store user search and selection data in a database, including user ID, search keywords, details of selected plan, etc.

[1230] 6. Data Analysis

[1231] The accumulated data is periodically analyzed by the server. Analytical means are used to identify travel trends and demand based on the data. This information can be obtained as an analysis result, such as "Many users are looking for relaxing plans departing from Tokyo."

[1232] 7. Provision of Information

[1233] The server includes a means for providing the analysis results to third parties such as travel agencies and local governments. The analysis results obtained by the means for providing the analysis results are used to create new travel plans and for efforts to revitalize local areas. Specifically, travel agencies use the analysis information to create new plans, and local governments use it as material for planning tourism promotion measures for their areas.

[1234] Specific examples

[1235] Suppose User A inputs the departure point "Tokyo," the budget "Under 50,000 yen," and the travel concept "Relaxation." The device sends this information to the server, which executes the SQL query "SELECT FROM Travel Plan WHERE Departure point = 'Tokyo' AND Budget <= 50,000 AND Concept = 'Relaxation'" to extract results such as "2-day relaxation plan at Hakone Hot Springs (48,000 yen)" and "1-night resort stay in Nikko (45,000 yen)." The results are returned to the device in JSON format and presented to User A in a user-friendly format. When User A selects "2-day relaxation plan at Hakone Hot Springs," its details are displayed. This search and selection information is also stored on the server and later provided to travel agencies.

[1236] Examples of prompts using generative AI models include:

[1237] "Please tell me a relaxing trip plan for less than 50,000 yen from Tokyo."

[1238] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1239] Step 1:

[1240] Accepting user input

[1241] The device provides an interface for users to enter detailed travel requirements. This interface includes drop-down menus and text input fields, where users can enter their departure point, budget, and travel concept. The entered information (e.g., "Tokyo," "Under 50,000 yen," "Relax") is collected by the device.

[1242] Step 2:

[1243] Receiving and searching keywords

[1244] The device sends the entered information to the server as an HTTP POST request (input: user's search criteria). The server receives this request and checks the integrity of the entered data (data processing: data validation). It then generates the appropriate SQL query and executes the query against the database (output: search results). For example, the server executes the SQL query "SELECT FROM travel plan WHERE departure point = 'Tokyo' AND budget <= 50000 AND concept = 'relax'".

[1245] Step 3:

[1246] Generating and submitting search results

[1247] The server serializes the travel plan data retrieved from the database in JSON format (input: search results from the database). It then sends the serialized data to the device (output: data in JSON format). For example, the server might send data in the format "[{Plan ID: 1, Plan Name: 'Relaxing plan for 2 days at Hakone hot springs', Price: 48000}, {Plan ID: 2, Plan Name: 'One night stay at a resort in Nikko', Price: 45000}]" to the device.

[1248] Step 4:

[1249] Displaying search results

[1250] The terminal deserializes the received JSON data and displays it visually to the user (input: JSON format data). For example, the terminal displays travel plans such as "2-day relaxing plan at Hakone hot springs" or "1 night at a resort in Nikko" in card format or list format (output: visual plan list).

[1251] Step 5:

[1252] Check and select plan details

[1253] The user selects a travel plan of interest (input: user selection). The device displays detailed information about the selected plan (input: selected plan ID, output: detailed information). Specifically, the device displays detailed information about the "2-day Hakone Hot Springs Relaxation Plan" (e.g., accommodation, travel itinerary, options).

[1254] Step 6:

[1255] Accumulation of search data

[1256] The server saves the user's search and selection data in a database (input: user ID, search keyword, selected plan details, output: save to database). For example, the server accumulates data by executing SQL such as "INSERT INTO search history (user ID, keyword, selected plan ID) VALUES ('user123', 'Tokyo, under 50,000 yen, Relax', 1)".

[1257] Step 7:

[1258] Data analysis

[1259] Periodically, the server analyzes the accumulated data (input: search history stored in the database, output: analysis results). The server executes a query such as "SELECT keyword, COUNT() FROM search history GROUP BY keyword" to identify users' travel trends and demands. For example, the result may be "Many users are looking for relaxing plans departing from Tokyo."

[1260] Step 8:

[1261] Providing information

[1262] The server provides the analysis results to third parties such as travel agencies and local governments (input: analysis results, output: provided information). This information is used by travel agencies to create new travel plans and by local governments as reference material for planning tourism promotion measures. Specifically, travel agencies can use the analysis information to create new plans, and local governments can use it to plan tourism promotion measures for their areas.

[1263] (Application example 1)

[1264] 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."

[1265] Conventional travel plan suggestion systems only require users to input their departure point, budget, and travel concept to search for and suggest travel plans, and do not consider food delivery suggestions based on food preferences or location information. As a result, users are unable to centrally manage their travel plans and dining options while on the go, resulting in low convenience. In particular, users who want to quickly find meal plans while traveling or on the go find it cumbersome to have to use multiple services. In response to this, the objective of this invention is to provide a system that can suggest appropriate food delivery plans and centrally manage this information by allowing users to input their location, budget, and food preferences.

[1266] 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.

[1267] In this invention, the server includes input means for a user to input their departure point, budget, and travel concept, or their location, budget, and food preferences, search means on the server that receives the input information and searches a database for a corresponding travel plan or food delivery plan, presentation means that presents the travel plan or food delivery plan found by the search means to the user, storage means that stores the user's search and selection data, analysis means that analyzes the stored data and identifies travel trends and demand or food delivery trends and demand, and provision means that provides the results obtained by the analysis means to third parties. This allows users to centrally manage even their meal plans when making travel plans, making it possible to provide a highly convenient service.

[1268] "Input means" refers to a means that provides an interface for a user to input their departure point, budget, and travel concept, or their location, budget, and food preferences.

[1269] The "search means" is a means for receiving the input information on the server and searching the database for the corresponding travel plan or food delivery plan.

[1270] The "presentation means" is a means for visually presenting to the user the travel plan or food delivery plan searched by the search means.

[1271] "Storage means" means a means for storing and accumulating the user's search and selection data in a database.

[1272] "Analysis means" refers to means for analyzing the accumulated data and identifying travel trends and demand or food delivery trends and demand.

[1273] The "provision means" is a means for providing the analysis results obtained by the analysis means to a third party.

[1274] The present invention is a system that suggests suitable travel plans or food delivery plans by allowing a user to input their departure point, budget, and travel concept, or their location, budget, and food preferences. The system includes the following main components:

[1275] 1. Accepting user input

[1276] Users enter information using the device's input means. Specifically, a user-friendly interface with drop-down menus and text input fields is provided, allowing users to easily input their departure point, budget, and travel concept, or their location, budget, and food preferences.

[1277] 2. Receiving and searching keywords

[1278] The server receives information entered by the user through the device. Based on the received information, the server executes an SQL query against the database to search for relevant travel plans or food delivery plans. For example, if a user enters the keywords "Shinjuku," "under 3,000 yen," and "Italian," the server generates a corresponding query and extracts appropriate plans from the database.

[1279] 3. Generating and sending search results

[1280] The server generates a list of travel plans and food delivery plans based on the search results. This list is serialized in JSON format and sent back to the device. The device deserializes the received data and displays it visually to the user. The list is displayed in card or list format and is provided with a user-friendly UI design.

[1281] 4. Check and select plan details

[1282] When a user selects a travel plan or food delivery plan that interests them, the device will display detailed information about the plan, including accommodation, travel dates, options, food options, and prices. Based on this information, users can make their final travel plan or food delivery plan selection.

[1283] 5. Accumulation of search data

[1284] The server stores the user's search and selection data in a database. This data includes information such as the user's ID, search keywords, and selected plan. For example, if a user searches for the keywords "Shinjuku," "under 3,000 yen," and "Italian," and selects the "Shinjuku Pizza Margherita Delivery Plan," that information will be saved in the database.

[1285] 6. Data Analysis

[1286] The server periodically analyzes the accumulated data to identify travel and food delivery trends and demand. The results of this analysis can be used to derive trends, such as "Many users are looking for Italian delivery plans within Tokyo."

[1287] 7. Provision of Information

[1288] The server provides the analysis results to third parties. The analysis results can be used by travel agencies and food delivery service providers to create new plans and improve their services. For example, travel agencies can use the analysis information to plan new travel plans, and food delivery service providers can use it as material to improve their menus.

[1289] Specific examples

[1290] For example, suppose a user enters information such as "Shinjuku," "under 3,000 yen," and "Italian." The server uses this information to search the database for relevant food delivery plans, generating results such as "Shinjuku Pizza Margherita Delivery Plan" and "Shinjuku Spaghetti Caprese Plan." The results are then sent to the terminal and presented to the user.

[1291] Prompt Sentence Examples

[1292] An example of a prompt that the user might enter is:

[1293] "Shinjuku", "Under 3000 yen", "Italian"

[1294] This will allow users to not only plan their trips, but also manage their meal plans in one place, providing a highly convenient service.

[1295] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1296] Step 1:

[1297] The user uses the input means of the terminal to input the departure point, budget, travel concept, or location, budget, and food preferences. The user enters this information using drop-down menus or text input fields and clicks the input button. This information is sent to the server as input data.

[1298] Input: User-selected / entered departure point, budget, trip concept, or location, budget, food preferences

[1299] Output: Input data sent to the server

[1300] Step 2:

[1301] The server analyzes the received input data and searches the database for the corresponding travel plans or food delivery plans. The server generates an SQL query based on the received data and executes it against the database. The server extracts the appropriate plans and obtains the search results.

[1302] Input: User-submitted input data

[1303] Output: Query results containing search results

[1304] Step 3:

[1305] The server generates a list of travel plans or food delivery plans based on the search results, serializes it in JSON format, and sends it back to the terminal.The server converts the search results into JSON format data and sends it to the terminal as an HTTP response.

[1306] Input: Search results retrieved from the database

[1307] Output: A list of travel or food delivery offers in JSON format

[1308] Step 4:

[1309] The terminal deserializes the JSON data received from the server and displays it visually to the user. The terminal displays the received data in a card or list format, providing an interface for the user to select a plan.

[1310] Input: JSON data received from the server

[1311] Output: A list of travel or food delivery itineraries visually presented to the user

[1312] Step 5:

[1313] The user selects the plan they are interested in and checks its details. The device displays the details of the selected plan and provides the user with detailed information, allowing the user to check specific accommodations, menus, prices, etc.

[1314] Input: The plan selected by the user

[1315] Output: A screen showing detailed information

[1316] Step 6:

[1317] The server stores the user's search and selection data in a database, and saves the user's selected plan and input information in the database for later analysis.

[1318] Input: User search and selection data

[1319] Output: Accumulated database entries

[1320] Step 7:

[1321] The server periodically analyzes the accumulated data to identify travel trends and demand or food delivery trends and demand. The server applies analytical algorithms to identify trends and generate reports.

[1322] Input: Accumulated data

[1323] Output: Analyzed trend and demand report

[1324] Step 8:

[1325] The server provides the generated reports to third parties, such as travel agencies and food delivery service providers, who use the analysis results to create new plans and improve their services.

[1326] Input: Trend and Demand Report

[1327] Output: Information provided to third parties

[1328] 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.

[1329] This invention relates to a system that proposes optimal travel plans by combining a user's departure point, budget, and travel concept with an emotion engine. This system includes the following main components, and the functions and processing flow of each component will be specifically explained.

[1330] 1. Accepting user input

[1331] The terminal provides input means for users to enter their departure point, budget, and travel concept. The input form includes text fields and drop-down menus, and is designed to make it easy for users to enter information.

[1332] 2. Receiving and searching keywords

[1333] The information entered by the user is sent to the server using an HTTP POST request. The server analyzes the received keywords (e.g., "Tokyo," "under 50,000 yen," and "relaxation") and generates an SQL query against the database. Based on the generated query, the database is searched for matching travel plans.

[1334] 3. Generating and sending search results

[1335] The server generates a list of travel plans based on the search results, serializes the list in JSON format, and sends it back to the device. The device then deserializes the received data and displays it visually to the user. The display format can be a user-friendly UI such as a card format or list format.

[1336] 4. Analysis by Emotion Engine

[1337] The device collects emotional data from the user's input and interactions. The collected emotional data is sent to a server in real time and analyzed by an emotion engine. The emotion engine identifies the user's emotional state and uses that data to filter and rank search results. For example, if the user is in a relaxing mood, it will prioritize travel plans that best suit that mood.

[1338] 5. Check and select plan details

[1339] When a user selects a travel plan that interests them, the device will display detailed information about the plan, including accommodation, travel dates, options, etc. Users can review the details and select a final travel plan.

[1340] 6. Accumulation of search and sentiment data

[1341] The server stores the user's search and selection data, as well as emotional data, in a database. This data includes information such as the user ID, search keywords, selected plan, and emotional state. For example, if a user searches for the keywords "Tokyo," "under 50,000 yen," and "relaxation," and selects the "2-day relaxation plan at Hakone Hot Springs," that information is stored in the database along with the emotional data.

[1342] 7. Data Analysis

[1343] The accumulated data is periodically analyzed by the server. The analysis means identifies travel trends and demand based on the data and generates reports. Emotional data is also analyzed, and trend analysis is performed based on the user's mood and emotions. For example, it is possible to identify changes in emotions and travel plan selection trends during specific seasons or times of the day.

[1344] 8. Provision of Information

[1345] The server provides the generated analysis result report to travel agencies and local governments. The analysis results obtained by the providing means can be used to create new travel plans and for regional revitalization efforts. For example, travel agencies can use the emotion data to plan new relaxation plans, and local governments can use the data as material when planning tourism promotion measures.

[1346] Specific examples

[1347] Suppose User A inputs the departure point "Tokyo," the budget "under 50,000 yen," and the travel concept "relaxation," and also sends emotional data indicating a desire to relax through interaction. The device sends this information to the server, which executes an SQL query to extract results such as "2-day relaxation plan at Hakone hot springs (48,000 yen)" and "1-night resort stay in Nikko (45,000 yen)." The emotional engine analyzes the emotional data for relaxation and ranks the search results based on it. As a result, the plan best suited for relaxation is displayed preferentially. When User A selects "2-day relaxation plan at Hakone hot springs," its details are displayed. Furthermore, this search and selection information, along with the emotional data, is stored on the server and later provided to the travel agency.

[1348] With the above configuration, users can easily find suitable travel plans based on their emotions, and travel agencies and local governments can plan more effective travel plans and revitalize local areas.

[1349] The processing flow will be explained below.

[1350] Step 1:

[1351] The device displays a form for users to enter their departure point, budget, and travel concept. The form includes text fields and drop-down menus, making it easy for users to enter information.

[1352] Step 2:

[1353] Users enter "Tokyo" as the departure point, "under 50,000 yen" as the budget, and "relaxation" as the travel concept, then click the search button.

[1354] Step 3:

[1355] The device sends the data entered by the user to the server as an HTTP POST request, during which the entered keyword information is converted into an appropriate format and processed for transmission to the server.

[1356] Step 4:

[1357] The server analyzes the received keywords (e.g., "Tokyo," "under 50,000 yen," and "relaxation"). Based on the analyzed keywords, it generates an SQL query for the database. For example, the following query is generated:

[1358] sql

[1359] SELECT FROM travel_plans

[1360] WHERE departure_city = 'Tokyo'

[1361] AND price <= 50000

[1362] AND concept LIKE '%Relax%';

[1363] Step 5:

[1364] The server executes the generated SQL query to the database to search for the corresponding travel plan. The searched data is temporarily stored in the server.

[1365] Step 6:

[1366] The server serializes the search results in JSON format and returns them to the device. At this time, the serialized data is sent to the device via the network.

[1367] Step 7:

[1368] The device deserializes the JSON data sent from the server and displays it in a human-readable format, using user-friendly UIs such as cards and lists.

[1369] Step 8:

[1370] The device collects emotional data from user input and interactions, using algorithms to infer emotional state from, for example, facial expression recognition, keyboard typing speed, and keywords in travel itineraries selected.

[1371] Step 9:

[1372] The device sends the collected emotional data to the server in real time, where it is passed to the server along with the user's search keywords as information to be analyzed.

[1373] Step 10:

[1374] The server then analyzes the received emotion data with an emotion engine to determine the user's current emotional state. For example, if the server detects that the user wants to relax, that information is used to filter and rank search results.

[1375] Step 11:

[1376] The server takes into account the emotional state analyzed by the emotion engine and adjusts the priority of search results, so that for users who want to relax, the results are adjusted so that plans that are best suited to relaxation are displayed at the top.

[1377] Step 12:

[1378] The device then presents the adjusted search results back to the user, which may be filtered or ranked according to the user's emotional state.

[1379] Step 13:

[1380] Users can select the travel plan they are interested in from the displayed options, for example, "2-day relaxing trip to Hakone hot springs."

[1381] Step 14:

[1382] The terminal displays detailed information about the selected itinerary, including accommodations, travel dates, and options.

[1383] Step 15:

[1384] The server stores the user's search and selection data and emotional data in a database, including the user ID, search keywords, selected plan ID, and emotional state.

[1385] sql

[1386] INSERT INTO search_logs (user_id, departure_city, price, concept, selected_plan_id, emotion)

[1387] VALUES (user_id, 'Tokyo', 50000, 'Relaxed', selected_plan_id, 'relaxed');

[1388] Step 16:

[1389] The server periodically analyzes the accumulated search and emotion data, and generates reports based on the analysis to identify patterns of travel trends, demand, and emotional state fluctuations.

[1390] Step 17:

[1391] The server then provides the generated analysis results report to travel agencies and local governments. The provided information can be used to create new travel plans and promote local areas. Travel agencies can use the emotion data to create new relaxation plans, and local governments can use it as material for planning tourism promotion measures.

[1392] Example 2

[1393] 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."

[1394] Conventional travel plan suggestion systems typically suggest itineraries based on simple user choices, making it difficult to consider user sentiment and real-time feedback. This makes it difficult to propose optimal travel plans that meet users' true needs. Furthermore, these systems simply accumulate user selection data, lacking mechanisms for effectively analyzing and utilizing that data, limiting their ability to analyze future trends and forecast demand. This has prevented travel agencies and local governments from providing more effective regional revitalization measures and personalized travel plans.

[1395] 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.

[1396] In this invention, the server includes: an input means for a user to input a departure point, budget, and travel concept; a transmission means for collecting the input information and sending it as an HTTP POST request; an analysis means for receiving and analyzing the transmitted information; a search means for searching a database for relevant travel plans based on the analysis results; a presentation means for presenting the travel plans found by the search means to the user in list or card format; an emotion data collection means for collecting and sending emotion data from the user's interactions; an emotion analysis means for analyzing the emotion data and filtering or ranking the search results; a storage means for storing the user's search and selection data and emotion data in a database; an analysis means for periodically analyzing the stored data to identify travel trends and demand; and a provision means for providing the results obtained by the analysis means to a third party. This allows users to obtain optimal travel plans based on their emotions and real-time feedback, and also enables travel agencies and local governments to plan and provide more effective regional revitalization measures and personalized travel plans.

[1397] "Input means" means a device or software that provides a form or interface for a user to input their departure point, budget, and travel concept.

[1398] The "transmission means" is a device or software that has the function of collecting the input information and transmitting it to the server as an HTTP POST request.

[1399] "Analysis means" refers to a device or software that analyzes the information received by the server and converts it into data to be used for searching.

[1400] The "search means" is a device or software that has the function of searching for a relevant travel plan from a database based on the analysis results.

[1401] The "presentation means" is a device or software that has the function of presenting the travel plans searched by the search means to the user in list or card format.

[1402] The "emotion data collection means" is a device or software that has the function of collecting and transmitting emotion data from user interactions.

[1403] The "emotion analysis means" is a device or software that has the function of analyzing the emotion data and filtering or ranking the search results.

[1404] The "storage means" is a device or software that has the function of storing the user's search and selection data and emotion data in a database.

[1405] "Analysis means" refers to a device or software that has the function of periodically analyzing the accumulated data and identifying travel trends and demand.

[1406] The "providing means" is a device or software that has the function of providing the results obtained by the analyzing means to a third party.

[1407] The present invention relates to a system that proposes optimal travel plans by combining an emotion engine with a user's input data and emotion data to generate travel plans in real time and present them to the user.

[1408] Hardware and software used

[1409] Terminal

[1410] Computer devices that are directly operated by users, such as PCs, smartphones, and tablets

[1411] Specific software used: Browser (Google Chrome, Mozilla Firefox, Safari, etc.)

[1412] server

[1413] Cloud servers (Amazon Web Services, Microsoft Azure, Google Cloud Platform, etc.)

[1414] Database: MySQL, PostgreSQL, MongoDB, etc.

[1415] Emotion engine: Google Cloud Natural Language API, IBM Watson Natural Language Understanding, etc.

[1416] System Operation Overview

[1417] The device provides an input form for users to enter the information needed to search for travel plans. Specifically, users enter their departure point, budget, and travel concept in text boxes and drop-down menus. The entered information is sent to the server using an HTTP POST request. The server analyzes the received data and searches for relevant travel plans in its database based on that data.

[1418] The search results are generated in JSON format and sent back from the server to the device. The device parses the received JSON data and displays it in a visually easy-to-understand format for the user. For example, travel plans may be presented in card or list format. The user can select plans that interest them and view detailed information.

[1419] The device records user interactions (clicks, hovers, etc.) and collects emotional data. This emotional data is also sent to the server in real time and analyzed by the emotion engine. Based on the analysis results, search results are re-filtered or ranked to present the user with the best plan.

[1420] The server stores the travel plan the user ultimately selects and the emotional data collected during the search in a database, which enables future travel plan suggestions, trend analysis, demand forecasting, and more.

[1421] Specific examples

[1422] Suppose User A inputs the departure point "Tokyo," the budget "under 50,000 yen," and the travel concept "relaxation." The input information is sent from the device to the server, which analyzes it and searches the database for plans such as "2-day relaxation plan at Hakone hot springs (48,000 yen)" and "1-night resort stay in Nikko (45,000 yen)." The search results are sent to the device, which displays them in list format. When User A selects the "2-day relaxation plan at Hakone hot springs" and checks its details, emotional data is recorded and sent to the server. The emotional engine analyzes the emotional data and determines that the user is in the mood to relax. Based on this, plans that are more relaxing are displayed preferentially.

[1423] Prompt Sentence Examples

[1424] "Please suggest travel plans with a departure point of Tokyo, a budget of 50,000 yen or less, and a travel concept of relaxation. Also, using an emotion engine, if the user is in the mood to relax, please prioritize the plans that best suit that mood."

[1425] As described above, by incorporating user emotional data, the present invention can propose more personalized travel plans, and by providing analytical data to travel agencies and local governments, it can contribute to the creation of new plans and regional revitalization.

[1426] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1427] The flow of this system's program processing

[1428] Step 1: Accepting User Input

[1429] The device provides the user with a form to input their departure point, budget, and trip concept. The user inputs "Tokyo" as the departure point, "Under 50,000 yen" as the budget, and "Relax" as the trip concept. The device saves the input information in the HTML form fields.

[1430] Step 2: Sending an HTTP POST Request

[1431] The device sends the information entered by the user to the server as an HTTP POST request. This request includes the departure point, budget, and travel concept. For example, the information sent is "Departure point: Tokyo, Budget: Under 50,000 yen, Concept: Relax."

[1432] Step 3: Receiving and Parsing the Request

[1433] The server receives the HTTP POST request, parses it, and determines that the data sent is "Departure: Tokyo, Budget: Under 50,000 yen, Concept: Relaxation." The server generates an SQL query based on this data.

[1434] Step 4: Retrieving from the database

[1435] The server uses the SQL query generated by the analysis to search for relevant travel plans from the database. For example, it extracts plans that match the keywords "Tokyo," "under 50,000 yen," and "relaxation." The search results include "2-day relaxation plan at Hakone hot springs (48,000 yen)" and "1-night resort stay in Nikko (45,000 yen)."

[1436] Step 5: Generate and submit search results

[1437] The server serializes the search results into a JSON list and returns it to the device. This JSON data includes detailed information about each travel plan. For example, it will look like this: [{ "name": "2-day relaxing plan at Hakone hot springs", "price": 48000}, { "name": "1 night at a resort in Nikko", "price": 45000}]

[1438] Step 6: Viewing search results

[1439] The device deserializes the received JSON data and displays it in a visually understandable format for the user, either as a card or a list. The user can then click on the plan they are interested in.

[1440] Step 7: Collect and send emotion data

[1441] The device records the user's interactions (e.g., plan selection and clicks). This data is sent to the server as data indicating the user's emotional state. For example, the device records "how many times the user clicked on the relaxation plan."

[1442] Step 8: Analyze the sentiment data

[1443] The server passes the received emotion data to the emotion engine for analysis. Based on the analysis results, it filters or adjusts the ranking of search results. For example, if it determines that the user is in a "feeling like relaxing," relaxation plans will be displayed as search results with priority.

[1444] Step 9: Accumulating Choice and Emotion Data

[1445] The server stores user search and selection data, as well as emotional data, in a database, including information such as user ID, search keywords, selected plans, and emotional state, which will be used to improve the accuracy of future analysis and recommendations.

[1446] Step 10: Analyze your data regularly

[1447] The server periodically analyzes the accumulated data to identify travel trends and demand and generate reports. For example, it may analyze trends such as "demand for relaxation plans is high in the summer."

[1448] Step 11: Providing information to third parties

[1449] The server then provides the generated analysis results to travel agencies and local governments, allowing them to plan new travel plans and local governments to devise regional revitalization measures.

[1450] The above is the processing flow of the travel plan suggestion system based on the information and emotional data entered by the user.

[1451] (Application example 2)

[1452] 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."

[1453] In conventional factory operations, optimizing work efficiency and employee motivation was a challenge. In particular, determining work plans solely based on efficiency often increased employee fatigue and stress, resulting in a decline in overall work efficiency. Furthermore, the lack of a system that could reflect work progress and employee emotional data in real time made it difficult to optimize the work environment.

[1454] The specification processing by the specification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes: input means for the user to input the departure point, budget, and work concept; search means on the server that receives the input information and searches a database for a corresponding work plan; presentation means that presents the work plan searched by the search means to the user; emotion data collection means that collects emotion data from the user's input and interactions; emotion engine means that transmits the emotion data to the server in real time and analyzes it using an emotion engine; analysis means by the server that analyzes the accumulated data and identifies work trends and demands; and provision means that provides the obtained results to third parties. This makes it possible to propose optimal work plans in real time based on the emotion data, thereby simultaneously improving work efficiency and employee satisfaction.

[1455] "Input means" refers to a device or interface that allows a user to input information such as the departure point, budget, and work concept.

[1456] The "search means" refers to a system or program that has the function of searching for the relevant work plan from a database based on input information.

[1457] "Presentation means" refers to a device or method for visually or audibly displaying the retrieved work plan to the user.

[1458] "Emotion data collection means" refers to a device or system that collects emotion data from user input and interaction.

[1459] The "emotion engine means" is a system or program that has the function of analyzing collected emotion data in real time and identifying the user's emotional state.

[1460] "Analysis means" refers to a system or program that has the function of analyzing accumulated data and identifying work trends and demands.

[1461] "Providing means" refers to a device or method for providing analysis results to a third party.

[1462] This invention relates to a system for improving work efficiency in factories. This system allows users to input the starting point, budget, and work concept, and then combines this with an emotion engine to propose an optimal work plan. Details for realizing this system are described below.

[1463] First, an input means is prepared to receive user input data. This can be a terminal such as a tablet or PC, and provides an interface for the user to input the starting point (work location), budget (resources, time), and work concept (such as "fast," "safe," and "efficient"). This allows the user to input information easily.

[1464] Next, the server receives the input information using an HTTP POST request. Based on the received information, the server searches the database for the corresponding work plan. Specifically, it generates an SQL query for the database and performs the process of searching for the work plan.

[1465] The searched work plans are visually displayed to the user through a presentation tool, such as a card or list format, with a user-friendly UI that allows the user to easily browse and select.

[1466] An emotion data collection means is provided to collect emotion data from user inputs and interactions. This allows the user's emotional state to be collected in real time and transmitted to a server. An emotion engine means analyzes the collected emotion data and identifies the user's emotional state. This emotion engine can use existing emotion analysis technology, such as IBM Watson.

[1467] The analyzed emotion data is used to filter and rank the retrieved work plans, which allows the system to present the work plan that best suits the user's emotional state, potentially improving work efficiency.

[1468] In addition, the server stores user search and selection data and sentiment data in a database. This stored data is periodically analyzed and used to identify work trends and demands. The server provides the analysis results to third parties (e.g., factory operators and managers) to provide information for improving operational efficiency and formulating new work plans.

[1469] Examples:

[1470] Assume that a user (worker) inputs the work location "Processing Line 1," the resource "10 hours," the work concept "efficient," and the mood "stressed." This information is sent to the server, which executes an SQL query to search for plans such as "shift plans with breaks (8 hours + 2 hours break)" and "efficient work assignments with workload sharing." The emotion engine analyzes the stress data and ranks the search results based on this. As a result, plans that best fit the user's emotional state are displayed preferentially.

[1471] Example prompt for a generative AI model:

[1472] "Let's assume the user has entered the work location, 'Processing Line 1', resource, '10 hours', work concept, 'Efficient', and emotion data, 'Stressed'. Based on this information, please propose the optimal work plan. The UI should be displayed in card format, and should also include details of the proposed plan."

[1473] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1474] Step 1:

[1475] The user uses the terminal to input the starting point (work location), budget (resources, time), and task concept. The terminal interface has input fields and drop-down menus to allow the user to easily input information. The input information is sent to the server via an HTTP POST request.

[1476] Input: Work location, resource, and work concepts

[1477] Output: HTTP POST request sent to the server

[1478] Step 2:

[1479] The server receives the HTTP POST request, analyzes the input information, generates an SQL query based on the analysis results, and searches the database for the corresponding work plan. The search results are compiled into a list and serialized in JSON format.

[1480] Input: HTTP POST request containing user-entered information

[1481] Output: JSON list of work plans

[1482] Step 3:

[1483] The server returns the generated search results in JSON format to the device, which then deserializes the data and displays it visually to the user. The presentation method is a card format or a list format, and a user-friendly UI is used.

[1484] Input: JSON format search results returned from the server

[1485] Output: A work plan visually presented to the user

[1486] Step 4:

[1487] The device is equipped with sensors and a user interface to collect emotional data from user input and interactions, allowing the user's emotional state to be collected in real time. The collected emotional data is then sent to the server using an HTTP request.

[1488] Input: User emotion data

[1489] Output: Emotion data sent to the server

[1490] Step 5:

[1491] The server then passes the received emotional data to an emotion engine for analysis. The emotion engine uses existing emotion analysis technology, such as IBM Watson. The analyzed emotional data identifies the user's emotional state and uses that data to filter and rank work plans.

[1492] Input: Emotion data sent to the server

[1493] Output: Parsed sentiment data and ranked action plans

[1494] Step 6:

[1495] The server then returns the ranked work plans to the device in JSON format. The device then deserializes the re-received data and presents the work plans to the user in the optimal order, allowing the user to see the optimal work plan based on their emotional state.

[1496] Input: The optimized work plan returned from the server

[1497] Output: A work plan presented to the user in the optimal order

[1498] Step 7:

[1499] When the user selects a work plan, the terminal displays detailed information about the selected plan, including work steps, required resources, and time allocation. The user can review the displayed details and select the final work plan.

[1500] Input: User selects a work plan

[1501] Output: Work plan with detailed information

[1502] Step 8:

[1503] The server stores user search and selection data, as well as emotional data, in a database. This data includes information such as user ID, input keywords, selected plans, and emotional state. The server periodically analyzes this stored data to identify work trends and demands.

[1504] Input: User search / selection data and sentiment data

[1505] Output: Accumulated data and analysis results

[1506] Step 9:

[1507] The server provides the analysis results to a third party (factory operator or manager), which provides information for improving operational efficiency and formulating new work plans. Based on the provided data, the third party can create more effective work plans and operational policies.

[1508] Input: Analysis results

[1509] Output: Analysis results provided to third parties

[1510] 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.

[1511] 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.

[1512] 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.

[1513] 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.

[1514] 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.

[1515] 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.

[1516] 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).

[1517] 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.

[1518] 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."

[1519] 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.

[1520] 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).

[1521] 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.

[1522] 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.

[1523] 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.

[1524] 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.

[1525] 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.

[1526] 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.

[1527] 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.

[1528] 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.

[1529] 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.

[1530] 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.

[1531] The following is further disclosed regarding the above embodiment.

[1532] (Claim 1)

[1533] input means for the user to input the origin, budget, and travel concept;

[1534] a search means on a server for receiving the input information and searching a database for a corresponding travel plan;

[1535] a presentation means for presenting the travel plans searched by the search means to the user;

[1536] storage means for storing said user search and selection data;

[1537] analysis means for analyzing the accumulated data to identify travel trends and demand;

[1538] providing means for providing the results obtained by the analysis means to a third party;

[1539] A system including:

[1540] (Claim 2)

[1541] 2. The system according to claim 1, further comprising a confirmation means for selecting the travel plan entered by the user and confirming the detailed information.

[1542] (Claim 3)

[1543] 2. The system according to claim 1, wherein the providing means provides the analysis results to a third party and provides information for creating travel plans and revitalizing local areas.

[1544] "Example 1"

[1545] (Claim 1)

[1546] input means for the user to input the origin, budget, and travel concept;

[1547] a search means on a server for receiving the input information and searching a database for a corresponding travel plan;

[1548] a presentation means for presenting the travel plans searched by the search means to the user;

[1549] storage means for storing said user search and selection data;

[1550] analysis means for analyzing the accumulated data to identify travel trends and demand;

[1551] providing means for providing the results obtained by the analysis means to a third party;

[1552] A communication method in which the user's input information is sent as an HTTP POST request and received by the server.

[1553] A serialization means for serializing the provided travel plan in JSON format and sending it to the terminal;

[1554] a display means for displaying detailed information about a travel plan selected by the user;

[1555] A system including:

[1556] (Claim 2)

[1557] 2. The system according to claim 1, further comprising a confirmation means for selecting the travel plan entered by the user and confirming the detailed information.

[1558] (Claim 3)

[1559] 2. The system according to claim 1, wherein the providing means provides the analysis results to a third party and provides information for creating travel plans and revitalizing local areas.

[1560] "Application Example 1"

[1561] (Claim 1)

[1562] input means for the user to input origin, budget, and travel concept, or location, budget, and food preferences;

[1563] A search means for receiving the input information on a server and searching a database for a corresponding travel plan or food delivery plan;

[1564] a presentation means for presenting to a user the travel plan or food delivery plan searched by the search means;

[1565] storage means for storing said user search and selection data;

[1566] an analysis means for analyzing the accumulated data to identify travel trends and demand or food delivery trends and demand;

[1567] providing means for providing the results obtained by the analysis means to a third party;

[1568] A system including:

[1569] (Claim 2)

[1570] 2. The system according to claim 1, further comprising a confirmation means for selecting the travel plan or food delivery plan entered by the user and confirming the detailed information.

[1571] (Claim 3)

[1572] The system according to claim 1, characterized in that the providing means provides the analysis results to a third party and provides information for creating travel plans or food delivery plans and for revitalizing local areas.

[1573] "Example 2: Combining Emotion Engines"

[1574] (Claim 1)

[1575] input means for the user to input the origin, budget, and travel concept;

[1576] a transmission means for collecting the input information and transmitting it as an HTTP POST request;

[1577] analysis means for receiving and analyzing the transmitted information;

[1578] A search means for searching for a corresponding travel plan from a database based on the analysis results;

[1579] a presentation means for presenting the travel plans searched for by the search means to the user in a list format or a card format;

[1580] an emotion data collection means for collecting and transmitting emotion data from user interactions;

[1581] sentiment analysis means for analyzing the sentiment data and filtering or ranking search results;

[1582] a storage means for storing user search and selection data and emotion data in a database;

[1583] analysis means for periodically analyzing the accumulated data to identify travel trends and demand;

[1584] providing means for providing the results obtained by the analysis means to a third party;

[1585] A system including:

[1586] (Claim 2)

[1587] 2. The system according to claim 1, further comprising a confirmation means for selecting the travel plan entered by the user and confirming the detailed information.

[1588] (Claim 3)

[1589] 2. The system according to claim 1, wherein the providing means provides the analysis results to a third party and provides information for creating travel plans and revitalizing local areas.

[1590] "Application example 2 when combining emotion engines"

[1591] (Claim 1)

[1592] input means for the user to input the origin, budget, and concept of the work;

[1593] a search means on a server for receiving the input information and searching a database for a corresponding work plan;

[1594] a presentation means for presenting the work plan searched by the search means to a user;

[1595] an emotion data collection means for collecting emotion data from user inputs and interactions;

[1596] emotion engine means for transmitting the emotion data to a server in real time and analyzing the emotion data by an emotion engine;

[1597] an analysis means in the server for analyzing the accumulated data and identifying work trends and demands;

[1598] a means for providing the obtained results to a third party;

[1599] A system including:

[1600] (Claim 2)

[1601] 2. The system according to claim 1, further comprising a confirmation means for selecting the work plan input by the user and confirming the detailed information.

[1602] (Claim 3)

[1603] 2. The system according to claim 1, wherein the providing means provides the analysis results to a third party and provides information for creating an operation plan and improving operational efficiency. [Explanation of symbols]

[1604] 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. input means for the user to input the origin, budget, and travel concept; a search means on a server for receiving the input information and searching a database for a corresponding travel plan; a presentation means for presenting the travel plans searched by the search means to the user; storage means for storing said user search and selection data; analysis means for analyzing the accumulated data to identify travel trends and demand; providing means for providing the results obtained by the analysis means to a third party; A system including:

2. 2. The system according to claim 1, further comprising a confirmation means for selecting the travel plan entered by the user and confirming the detailed information.

3. 2. The system according to claim 1, wherein the providing means provides the analysis results to a third party and provides information for creating travel plans and revitalizing local areas.

Images