System

Abstract

A system is provided.SOLUTION: A system comprising: means for providing input information such as user preferences, budget, travel itinerary, special requirements; means for analyzing the input information and searching a database for tourist attractions, accommodation facilities, and dining venues that are preferred by the user based on the user preferences; means for selecting from the searched candidates tourist attractions and activities that are within the budget and generate a travel plan based on the itinerary; and means for presenting the generated travel plan to the user and collecting feedback.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] Modern travelers have diverse tastes and needs, and to accommodate these, they require individually customized travel plans. However, most travel planning systems only provide generic suggestions and are unable to fully address the specific needs of users. Furthermore, it is extremely difficult to generate optimal travel plans that take into account the user's budget, itinerary, and special requests (e.g., bringing pets, easy access, etc.). To address these challenges, there is a need for a system that can automatically generate and suggest customized travel plans based on detailed user input. [Means for solving the problem]

[0005] The present invention provides a system that allows users to input information such as preferences, budget, travel itinerary, and special requests, analyzes that information, searches a database for tourist spots, accommodations, and places to eat that interest the user based on their preferences, selects tourist spots and activities that can be visited within the user's budget from the search results, generates an optimal travel plan based on the itinerary, and finally presents it to the user and collects feedback.

[0006] Specifically, these problems are solved by a system that includes a means for users to input their preferences, budget, travel schedule, special requests, etc., a means for analyzing the input information and extracting specific keywords, a means for searching a database for tourist attractions and facilities that match the user's preferences, a means for selecting tourist attractions and activities that can be visited within the user's budget from the search results and generating a travel plan, and a means for presenting the generated travel plan to the user and collecting feedback.

[0007] A "user" is an individual or a corporation that uses the system of the present invention and provides information such as travel preferences, budget, and schedule.

[0008] "Preferences" are information that indicates the types of activities and places a user wants to experience during their trip. Examples include gastronomy, history, nature, etc.

[0009] A "budget" is the amount set by the user as the total cost of the trip, and the recommended plans will be taken into consideration to fall within this range based on the travel plans.

[0010] "Travel itinerary" means the period including the start and end dates of the trip specified by the user.

[0011] "Special Requests" are additional requests that a User specifies to meet specific conditions during travel planning, such as allowing pets or ensuring accessibility.

[0012] "Input Information" refers collectively to the preferences, budget, travel itinerary, and special requests provided by a User to the System.

[0013] "Analysis" is the process by which the system analyzes the input information provided by the user to extract specific keywords and conditions.

[0014] The "database" is a collection of information on tourist destinations, accommodations, places to eat, etc. stored within the system, and is searched based on the analysis results.

[0015] "Search" is the process of finding suitable tourist attractions, accommodations, places to eat, etc. from a database based on the information entered by the user.

[0016] "Travel Plan" means a specific travel schedule and proposal generated based on a user's preferences, budget, travel itinerary, and special requests.

[0017] "Feedback" is the user's action of returning their opinions and ratings about the proposed travel plan to the system. [Brief explanation of the drawings]

[0018] [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

[0019] 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.

[0020] First, the terms used in the following description will be explained.

[0021] 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).

[0022] 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.

[0023] 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.

[0024] 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.

[0025] 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."

[0026] [First embodiment]

[0027] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0028] 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.

[0029] 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).

[0030] 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.

[0031] 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.

[0032] 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.

[0033] 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.

[0034] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0035] 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.

[0036] 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.

[0037] 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.

[0038] 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."

[0039] The present invention relates to a system for generating customized travel plans based on a user's preferences, budget, travel schedule, special requests, etc. This system allows users to plan their trips easily and efficiently. Below is a description of the program of this system and its natural language processing.

[0040] Collecting and submitting user input

[0041] User:

[0042] The user uses the device to input various information about the trip, such as the user's preferences (e.g., nature, history), budget, travel dates, and special requests (e.g., bringing pets, accessibility).

[0043] Device:

[0044] The device collects information entered by the user and sends it to the server. During this process, it also includes a function to check for input errors.

[0045] Analyzing input data

[0046] server:

[0047] The server receives and analyzes the user-entered information sent from the device, specifically extracting specific keywords and conditions related to the user's preferences, budget, travel schedule, and special requests. The analyzed data is used as input data for the next processing step.

[0048] Generate a travel plan

[0049] server:

[0050] Based on the analysis results, the server searches its internal database for tourist attractions, accommodations, and dining options that match the user's preferences. It obtains information on relevant places and activities and lists them. It then selects tourist attractions and activities that fit within the user's budget and generates a travel plan based on the travel dates. The generated plan also includes detailed information on tourist attractions and corresponding costs.

[0051] Gathering suggestions and feedback

[0052] Device:

[0053] The terminal presents the travel plan sent from the server to the user, who can then review the plan and provide feedback as needed, including requests for corrections or additions.

[0054] User:

[0055] The user can review the proposed travel plan, confirm it if satisfied, and provide feedback if necessary. Based on the user's feedback, the server can adjust the plan again.

[0056] Specific examples

[0057] For example, if a user enters the following information:

[0058] Interests: Nature, History

[0059] Budget: 200,000 yen

[0060] Dates: November 1, 2023 to November 7, 2023

[0061] Special Request: Pets Allowed

[0062] In this case, the device collects this information and sends it to a server. The server analyzes the input information and searches a database for relevant tourist spots and activities. Examples include visiting a shrine in Kyoto, a hot spring trip to Hakone, or a stroll along the coast in Shonan. A travel itinerary is then generated based on this information.

[0063] Finally, the device will present the generated travel plan to the user, who can then review the plan and provide feedback accordingly, allowing the user to easily find the best travel plan for them.

[0064] The present invention makes it possible to quickly and accurately provide travel plans that meet the individual needs of users, dramatically simplifying travel planning for users and improving user satisfaction.

[0065] The processing flow will be explained below.

[0066] Step 1:

[0067] User:

[0068] The user uses the device to input information about the trip, including the user's preferences (e.g., nature, history), budget, travel dates, and special requests (e.g., bringing pets, accessibility, etc.).

[0069] Step 2:

[0070] Device:

[0071] The terminal collects the information entered by the user and checks the format of the input data. It performs a simple check to see if there are any errors or missing fields, notifying the user if any corrections are necessary. Once the check is complete, the information is sent to the server.

[0072] Step 3:

[0073] server:

[0074] The server receives the user's input information sent from the device, analyzes the received data, extracts specific keywords and conditions related to the user's preferences, budget, travel schedule, and special requests, and organizes the analysis results into a format required for database searches.

[0075] Step 4:

[0076] server:

[0077] The server uses the analysis results to search its internal database, which stores information on tourist spots, accommodations, places to eat, etc. It selects candidates that match the user's preferences and displays them in a list.

[0078] Step 5:

[0079] server:

[0080] From the list of candidates, select tourist attractions and activities that fit within the user's budget. Then, create a schedule for each day based on the dates. Generate an itinerary that includes detailed information about the selected tourist attractions and activities (e.g., location, budget, and activity content).

[0081] Step 6:

[0082] server:

[0083] The generated itinerary is then formatted and prepared for transmission to the device, including details of activities, transportation, and accommodation for each day, and is also adapted to the user's special requests.

[0084] Step 7:

[0085] Device:

[0086] The device presents the travel plan received from the server to the user, displayed in an easy-to-read format and including detailed activity and budget information for each day.

[0087] Step 8:

[0088] User:

[0089] The user can review the proposed travel plan through the device and confirm it if they are satisfied with it, or enter feedback if they need to make any changes. Feedback can include additional requests or changes.

[0090] Step 9:

[0091] server:

[0092] The server receives feedback from the user and adjusts the travel plan accordingly, and then sends the adjusted plan back to the user, thereby increasing user satisfaction.

[0093] By following the steps above, the system of the present invention can quickly and accurately generate and provide a travel plan tailored to the user's individual needs, dramatically simplifying the user's travel planning process and improving user satisfaction.

[0094] Example 1

[0095] 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."

[0096] Conventional travel plan generation systems do not provide sufficient flexibility to accommodate user preferences and special requests. Furthermore, they lacked a mechanism to automatically detect and correct incorrect or incomplete information entered by the user. This resulted in the inability to provide users with optimal travel plans, leading to a decline in user satisfaction.

[0097] 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.

[0098] In this invention, the server includes means for users to provide input information such as preferences, budget, travel itinerary, and special requests, means for checking the input information in real time to check for formatting errors and missing required fields, means for analyzing the input information and searching a database for tourist attractions, accommodations, and places to eat that are of interest to the user based on the user's preferences, means for selecting tourist attractions and activities that can be visited within the user's budget from the searched candidates and generating an itinerary based on the itinerary, and means for presenting the generated itinerary to the user and collecting feedback, thereby making it possible to provide an itinerary that quickly and accurately reflects the user's preferences and special requests.

[0099] "User" refers to a person who uses the system to make travel plans.

[0100] "Preferences" refer to a traveler's individual tendencies and preferences for the places they want to visit and the activities they want to experience.

[0101] "Budget" refers to the amount set by the user as the total cost of the trip.

[0102] "Travel Itinerary" refers to the period from the start date to the end date of the trip.

[0103] "Special Requirements" refers to any special conditions or requests you may have during your trip (e.g., pets, barrier-free access, etc.).

[0104] "Means" refer to the processes or technical elements used to achieve a particular purpose.

[0105] "Input Information" refers to data provided by the User, such as preferences, budget, travel itinerary, and special requests.

[0106] "Real-time checking" refers to the process of verifying the accuracy and validity of information immediately as it is entered by the user.

[0107] "Analysis" refers to the process of analyzing input data and extracting user preferences and conditions.

[0108] "Database" refers to a system that stores travel-related information (e.g., tourist attractions, accommodations, and places to eat) and manages it in a searchable format.

[0109] "Searching" refers to the process of locating information from a database that matches specific criteria.

[0110] "Generate" refers to the process of creating a specific travel plan for the user based on the analyzed data and search results.

[0111] "Presenting" refers to the process of showing the generated itinerary to the user.

[0112] "Gathering feedback" refers to the process of receiving user opinions and requests for modifications to the proposed travel plan.

[0113] The present invention relates to a system for generating a customized travel plan based on a user's preferences, budget, travel schedule, special requests, etc. This system allows a user to easily obtain the optimal travel plan for themselves. Detailed embodiments of this system are described below.

[0114] Collecting User Input

[0115] User:

[0116] Users use their devices (such as smartphones or PCs) to input information necessary for planning their trip, such as their preferences (e.g., nature, history), budget (e.g., 200,000 yen), travel dates (e.g., November 1, 2023 to November 7, 2023), and special requests (e.g., bringing pets).

[0117] Device:

[0118] The device has the ability to check the information entered by the user in real time to ensure there are no formatting errors or missing required fields, for example, whether the date format is correct or whether the budget is a number. If the information entered is correct, the device sends this information to the server.

[0119] Analyzing input data

[0120] server:

[0121] The server receives user-input information sent from the device, analyzes the received data, and uses analysis modules (e.g., Python scripts, AI models) to extract keywords and conditions related to the user's preferences, budget, travel itinerary, and special requests. For example, keywords such as "nature" and "history" are analyzed.

[0122] Generate a travel plan

[0123] server:

[0124] Based on the analysis results, the server searches an internal database (e.g., MySQL (registered trademark), PostgreSQL) for tourist attractions, accommodations, places to eat, etc. that match the user's preferences. First, it extracts candidate tourist attractions that match the user's preferences. Next, it identifies tourist attractions and activities that are possible within the user's budget and narrows down the candidates. After that, it creates an appropriate schedule according to the travel date. This schedule also includes detailed information about tourist attractions and related costs.

[0125] Gathering suggestions and feedback

[0126] Device:

[0127] The device presents the generated travel plan sent from the server to the user, and provides an interface (e.g., a web page or app screen) where the user can review the plan details. In addition to reviewing the plan, the user also has the option to provide feedback.

[0128] User:

[0129] The user uses the device to review the proposed travel plan. If satisfied, they confirm the plan, but if they have any complaints or requests for additions, they enter their feedback. For example, they might request a higher-ranking accommodation or the addition of another tourist attraction.

[0130] server:

[0131] The server receives the user's feedback again and modifies the plan based on the feedback, for example by searching for new accommodations and incorporating them into the plan. This process is repeated until the user is satisfied.

[0132] Specific examples

[0133] For example, if a user enters the following information:

[0134] Interests: Nature, History

[0135] Budget: 200,000 yen

[0136] Dates: November 1, 2023 to November 7, 2023

[0137] Special Request: Pets Allowed

[0138] Device:

[0139] The information entered by the user is checked in real time and sent to the server, for example, to make sure the date is in the "YYYY-MM-DD" format.

[0140] server:

[0141] The system analyzes the received information and searches a database for relevant tourist spots and accommodations. Specific options include visiting shrines in Kyoto, a hot spring trip to Hakone, and a stroll along the Shonan coast. It then generates a travel plan based on this information.

[0142] Device:

[0143] The generated travel plan is presented to the user, who then reviews the plan and provides feedback such as "I'd like one more tourist spot added."

[0144] server:

[0145] Again, the system receives user feedback and generates a revised plan, for example adding a temple in Nara as a new tourist spot, and sends the updated plan to the device.

[0146] Example prompt

[0147] "Based on the user's input information, generate a travel plan from November 1, 2023 to November 7, 2023, with a budget of 200,000 yen or less. Preferences are nature and history, and special request is bringing pets."

[0148] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0149] Step 1: Collecting and sending user input

[0150] User:

[0151] Users use their own devices (e.g., smartphones or PCs) to input the information necessary for planning a trip (preferences, budget, travel dates, special requests). For example, they specify "nature and history" as their preference, "200,000 yen" as their budget, "November 1, 2023 to November 7, 2023" as their travel dates, and "bringing pets" as their special request.

[0152] Device:

[0153] The terminal checks the information entered by the user in real time. Check items include the accuracy of the date format and the numerical value of the budget. For example, it checks whether the date is entered in "YYYY-MM-DD" format and whether the "budget" is a numerical value. If the input information is correct, it sends this information to the server.

[0154] Input: User preferences, budget, travel dates, special requests

[0155] Output: Send checked trip information to the server

[0156] Step 2: Analyze the input data

[0157] server:

[0158] The server receives user-input information sent from the device and uses an analysis module (e.g., Python script, generative AI model) to extract keywords and conditions related to the user's preferences, budget, travel itinerary, and special requests. For example, keywords such as "nature" and "history" are identified.

[0159] Input: Checked travel information

[0160] Output: Extracted keywords and conditions

[0161] Step 3: Generate a travel plan

[0162] server:

[0163] Based on the analysis results, the server searches an internal database (e.g., MySQL, PostgreSQL) for tourist attractions, accommodations, and dining options that match the user's preferences. For example, it may extract tourist attractions related to "nature" and "history" from the database, such as shrines in Kyoto, hot springs in Hakone, and the Shonan coast. It then selects tourist attractions and activities that can be visited within the user's budget and creates an appropriate itinerary based on the travel date. This schedule also includes detailed information about the tourist attractions and related costs.

[0164] Input: Extracted keywords and conditions

[0165] Output: Generated itinerary (list of tourist attractions, accommodation, places to eat, and corresponding costs)

[0166] Step 4: Gather suggestions and feedback

[0167] Device:

[0168] The device presents the generated itinerary to the user, sent from the server. The user can then review the plan through an interface (e.g., a web page or app screen) where they can view the plan details. They also have the option to provide feedback on the presented plan. For example, they can provide feedback such as "I'd like the accommodations to be more luxurious" or "I'd like additional tourist attractions to be included."

[0169] Input: Generated itinerary

[0170] Output: User feedback

[0171] User:

[0172] The user reviews the proposed travel plan via the device. If satisfied, they confirm the plan and, if necessary, provide feedback to further adjust the plan. For example, they can input feedback such as "I would like the accommodation to be of a higher rank" or "I would like another tourist attraction to be added."

[0173] Input: proposed travel plan

[0174] Output: Feedback for confirmation or correction request

[0175] Step 5: Incorporating feedback

[0176] server:

[0177] The server receives the user's feedback and modifies the itinerary based on it, for example by searching the database again for additional tourist attractions or upgraded accommodations, and then sends the updated itinerary back to the user.

[0178] Input: User feedback

[0179] Output: Modified itinerary

[0180] This allows users to get the best travel plan that perfectly suits their needs and requirements.

[0181] (Application example 1)

[0182] 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."

[0183] Conventional travel plan generation systems rely on users checking travel plans and providing feedback via websites or applications. However, for users who value face-to-face service at brick-and-mortar stores, creating and adjusting travel plans in real time is difficult. Given this background, there is a demand for a system that can efficiently adjust travel plans in real time in cooperation with travel agency staff at brick-and-mortar stores.

[0184] 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.

[0185] In this invention, the server includes: means for a user to provide input information such as preferences, budget, travel itinerary, and special requests; means for analyzing the input information and searching a database for tourist attractions, accommodations, and dining places of interest based on the user's preferences; means for selecting tourist attractions and activities that can be visited within the user's budget from the searched candidates and generating an itinerary based on the itinerary; means for presenting the generated itinerary to the user and collecting feedback; and means for displaying the generated itinerary in real time at a physical store so that the user and staff can confirm and revise it together. This enables travel agency staff at the physical store and the user to cooperate and efficiently adjust and generate customized itineraries in real time.

[0186] "User" means an individual or organization that uses the Travel Plan Generation System to create and adjust a travel plan based on their preferences and requirements.

[0187] "Input Information" means data such as travel preferences, budget, travel dates, and special requests that a user provides to the system.

[0188] "Analysis means" is a function that extracts various keywords and conditions based on the input information provided by the user and performs analysis.

[0189] The "search means" is a function that searches the database for tourist attractions, accommodations, and places to eat that match the user's preferences based on the information obtained by the analysis means.

[0190] The "selection method" is a function that selects tourist spots and activities that are within the user's budget from the information obtained through the search method.

[0191] The "generation means" is a function that creates a specific travel plan based on the information obtained through the selection means and that matches the user's travel schedule.

[0192] The "presentation means" is a function for providing the generated travel plan to the user and collecting feedback from the user.

[0193] "Real-time display means" is a function that displays travel plans created in physical stores to users and staff on the spot, allowing both parties to cooperate in confirming and modifying the plans.

[0194] "Feedback" means any comments or requests for modifications provided by a User regarding a proposed travel plan.

[0195] This invention relates to a system for generating customized travel plans based on a user's preferences, budget, travel itinerary, special requests, etc. To realize this application example, the following means are required.

[0196] System configuration

[0197] This system is realized through the process of collecting and analyzing user information, generating travel plans based on that information, and collecting feedback. The specific hardware and software configuration is as follows:

[0198] Hardware

[0199] Smartphone: Used as a device to receive input information from customers.

[0200] Server: A central processing unit for data analysis and travel plan generation.

[0201] Display devices in physical stores: Used as display devices for smartphones, tablets, digital displays, etc.

[0202] software

[0203] Python program: Used to implement the trip plan generation algorithm.

[0204] Requests library: Required for data communication with the server.

[0205] A server-based travel plan generation API: performs database searches and analysis.

[0206] Program processing

[0207] Collection of User Information

[0208] The user uses their smartphone to input information such as travel preferences, budget, travel dates, and special requests, which is then sent from the smartphone to the server.

[0209] Analyzing data and generating plans

[0210] The server analyzes the input information sent and extracts specific keywords and conditions. Based on the results of this analysis, it searches its internal database for candidates for tourist spots, accommodations, places to eat, etc. that match the user's preferences. From the search results, it selects tourist spots and activities that can be visited within the user's budget and generates a specific travel plan.

[0211] Plan presentation and feedback

[0212] The generated travel plan is presented to the user via a smartphone application. It is also displayed in real time on display devices in physical stores, where travel agency staff can work with the user to confirm and modify the plan. User feedback is sent back to the server, and the travel plan is revised as necessary.

[0213] Specific examples

[0214] For example, a user enters the following information:

[0215] Interests: Nature, history

[0216] Budget: 200,000 yen

[0217] Dates: November 1, 2023 to November 7, 2023

[0218] Special Request: Pets Allowed

[0219] The smartphone collects this information and sends it to a server. The server analyzes the input information and searches a database for relevant tourist spots and activities. Examples include visiting a shrine in Kyoto, a hot spring trip to Hakone, or a stroll along the Shonan coast. The generated itinerary is displayed in real time on a display device in the physical store, where the customer and staff can work together to make any necessary revisions or final adjustments.

[0220] Prompt Sentence Examples

[0221] I'd like to customize my next trip. Please suggest the best plan based on the information below.

[0222] Interests: Nature, History

[0223] Budget: 200,000 yen

[0224] Dates: November 1, 2023 to November 7, 2023

[0225] Special Request: Pets Allowed

[0226] In this way, a concrete embodiment for carrying out the invention is provided, which enables a user to quickly and efficiently generate and adjust a customized travel plan according to their requirements.

[0227] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0228] Step 1:

[0229] The user inputs information about their trip. Using their smartphone, the user inputs travel preferences, budget, travel dates, special requests, etc. The input information is prepared as data in JSON format.

[0230] input:

[0231] Information about your travel preferences, budget, travel dates, and special requests

[0232] output:

[0233] Trip request data in JSON format

[0234] Specific behavior:

[0235] Enter information into each field on the smartphone interface

[0236] Simple check to see if the entered information is correct

[0237] Save input information as JSON format data

[0238] Step 2:

[0239] The device sends the collected user information to the server. The device sends the generated JSON data to the server via an HTTP request. The server receives this data.

[0240] input:

[0241] Trip request data in JSON format

[0242] output:

[0243] Received data for acknowledgment and preparation for analysis

[0244] Specific behavior:

[0245] Generate and send an HTTP request

[0246] Receiving a request on the server side

[0247] Retaining received data for analysis

[0248] Step 3:

[0249] The server analyzes the received data. The server analyzes the input information and extracts keywords and conditions. The results of this analysis are used in the next search step.

[0250] input:

[0251] Received data

[0252] output:

[0253] Analysis results (keywords, conditions)

[0254] Specific behavior:

[0255] Received data is processed by an analysis program

[0256] Extract keywords based on user preferences, budget, dates, and special requests

[0257] Save the extracted keywords in a data structure for use in the next search step

[0258] Step 4:

[0259] The database is searched for tourist attractions and accommodations that match the user's preferences. This search is based on the analysis results. The server selects tourist attractions and activities that fit within the user's budget.

[0260] input:

[0261] Analysis results (keywords, conditions)

[0262] output:

[0263] Database search results (candidate list)

[0264] Specific behavior:

[0265] Generate and execute database queries

[0266] Filtering tourist attractions and accommodations obtained as query results

[0267] Save the filtering results in list format

[0268] Step 5:

[0269] The server generates a specific travel plan based on the database search results, selects sightseeing spots and activities that can be visited within the budget, and creates a schedule based on the travel dates.

[0270] input:

[0271] Search results (candidate list)

[0272] output:

[0273] Generated itinerary

[0274] Specific behavior:

[0275] Select sightseeing spots and activities from a list that fit your budget

[0276] Generate a schedule based on the user's schedule

[0277] Format the generated schedule as a travel plan

[0278] Step 6:

[0279] The generated travel plan is presented to the user and feedback is collected. The device presents the travel plan to the user and displays it in real time. Feedback from the user is sent to the server, and the plan is adjusted again.

[0280] input:

[0281] Generated itinerary

[0282] output:

[0283] User Feedback

[0284] Specific behavior:

[0285] Displaying travel plans on a display device

[0286] Users can review plans and enter corrections or additions.

[0287] Send feedback information to the server

[0288] Servers rebalance based on feedback

[0289] Through each of these steps, users can efficiently generate and adjust travel plans based on their preferences and requirements in real time, and the system can collaborate with brick-and-mortar travel agency staff to optimize travel plans.

[0290] 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.

[0291] The present invention is a system that generates customized travel plans based on a user's preferences, budget, travel schedule, and special requests, and further combines it with an emotion engine that recognizes the user's emotions to improve user satisfaction. Below is an explanation of the program of this system and its natural language processing.

[0292] Collecting and submitting user input

[0293] User:

[0294] The user uses the device to input information about the trip, such as preferences (e.g., nature, history), budget, travel dates, and special requests (e.g., bringing pets, accessibility).

[0295] Device:

[0296] The terminal collects information entered by the user, checks the input data for errors, and if there are no problems, sends the collected information to the server.

[0297] Analyzing input data

[0298] server:

[0299] The server receives the user's input information sent from the device and analyzes it to extract specific keywords and conditions related to the user's preferences, budget, travel schedule, and special requests. The analysis results are used as input data for the next processing step.

[0300] Emotion recognition by emotion engine

[0301] server:

[0302] The server uses an emotion engine to analyze the user's facial expressions, voice, and input behavior to identify their emotional state, which is then taken into account along with the input information provided by the user to tailor the itinerary to maximize the user's satisfaction.

[0303] Generate a travel plan

[0304] server:

[0305] Based on the analysis results and the user's emotional state, the server searches its internal database for tourist attractions, accommodations, and dining locations that match the user's preferences. It then obtains information on relevant locations and activities and generates a travel plan based on that information. The plan includes adjustments that reflect the user's budget, itinerary, special requests, and emotions.

[0306] Gathering suggestions and feedback

[0307] Device:

[0308] The device presents the user with the travel plan sent from the server, displayed in an easy-to-read format, with detailed activity and budget information for each day.

[0309] User:

[0310] The user reviews the proposed itinerary and provides feedback. The emotion engine analyzes the user's facial expressions, voice, and input behavior to evaluate their emotional state in real time, allowing for more accurate feedback.

[0311] server:

[0312] The server receives feedback and real-time emotional state from the user and adjusts the travel plan accordingly, which is then sent back to the user to improve user satisfaction.

[0313] Specific examples

[0314] For example, if a user enters the following information:

[0315] Interests: Nature, History

[0316] Budget: 200,000 yen

[0317] Dates: November 1, 2023 to November 7, 2023

[0318] Special Request: Pets Allowed

[0319] In this case, the device collects this information and sends it to a server. The server analyzes the input information and evaluates the user's emotional state using an emotion engine. It then searches a database for relevant tourist spots and activities and generates a travel plan that includes, for example, a shrine visit in Kyoto, a hot spring trip in Hakone, or a stroll along the Shonan coast.

[0320] The generated plan is presented to the user via their device. The user reviews the plan and confirms it if satisfied, or provides feedback if any changes are needed. Based on the feedback information and real-time emotion analysis data from the emotion engine, the server adjusts the travel plan and presents it to the user again.

[0321] The present invention makes it possible to quickly and accurately provide a travel plan that takes into account the individual needs and emotional state of the user, dramatically simplifying travel planning for users and improving satisfaction.

[0322] The processing flow will be explained below.

[0323] MODE FOR CARRYING OUT THE INVENTION

[0324] This invention is a system that generates customized travel plans based on a user's preferences, budget, travel schedule, and special requests, and further combines it with an emotion engine that recognizes the user's emotions to improve user satisfaction. The program of this system and its processing flow in natural language are shown below.

[0325] Step 1:

[0326] User:

[0327] The user uses the device to input information about the trip, including preferences (e.g., nature, history), budget, travel dates, and special requests (e.g., bringing pets, accessibility).

[0328] Step 2:

[0329] Device:

[0330] The terminal collects the information entered by the user, corrects the format of the input data, checks for errors, and after confirming that the information has been entered correctly, sends the collected information as is to the server.

[0331] Step 3:

[0332] server:

[0333] The server receives the user's input information sent from the device, analyzes the received data, and extracts specific keywords and conditions related to the user's preferences, budget, travel schedule, and special requests. The analysis results are used as input data for the next processing step.

[0334] Step 4:

[0335] server:

[0336] The server uses an emotion engine to continuously receive the user's facial expressions, voice, and input behavior from the device to identify their emotional state, which is then taken into account along with the user's input information to adjust the travel plan to maximize the user's satisfaction.

[0337] Step 5:

[0338] server:

[0339] Based on the analysis results and the user's emotional state, the server searches its internal database for tourist attractions, accommodations, and dining options that match the user's preferences, obtains information on relevant places and activities, and lists them.

[0340] Step 6:

[0341] server:

[0342] From the list of options, the system selects tourist spots and activities that fit within the user's budget. It then creates a schedule for each day based on the date. It generates an itinerary that includes detailed information about the selected tourist spots and activities (e.g., location, budget, and activity content). Again, it adjusts to reflect the user's emotional state.

[0343] Step 7:

[0344] server:

[0345] The generated itinerary is then organized and prepared for sending to the user, including details of activities, transportation, and accommodation for each day, and making adjustments based on special requests, if necessary.

[0346] Step 8:

[0347] Device:

[0348] The device presents the travel plan received from the server to the user in an easy-to-read format, including detailed activity and budget information for each day.

[0349] Step 9:

[0350] User:

[0351] The user reviews the proposed itinerary and, if satisfied, confirms it, or provides feedback if changes are needed. This feedback includes input via the device, suggestions for improvement, and requests for additions.

[0352] Step 10:

[0353] Device:

[0354] While the user is checking their travel plans, the device uses an emotion engine to analyze their facial expressions, voice, and input behavior to assess their emotional state in real time, and this emotional data is also sent to the server as feedback.

[0355] Step 11:

[0356] server:

[0357] The server receives feedback and real-time sentiment data from the user, adjusts the travel plan based on this, and presents the adjusted plan to the user again.

[0358] In this way, the system of the present invention can quickly and accurately provide a travel plan that takes into account the user's individual needs and emotional state, dramatically simplifying the user's travel planning process and improving satisfaction.

[0359] Example 2

[0360] 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."

[0361] Conventional travel plan generation systems provide customized plans based on the user's preferences, budget, travel schedule, and special requests, but lack the ability to adjust the travel plan taking into account the user's emotional state. As a result, the generated plans often do not satisfy the user, and a means to further improve user satisfaction is needed.

[0362] 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.

[0363] In this invention, the server includes means for analyzing input information and searching a database for interesting destinations, accommodations, and places to eat based on the user's preferences, means for analyzing the user's emotions using an emotion engine and identifying the user's emotional state, and means for generating a travel plan that corresponds to the user's budget, schedule, and special requests based on the analysis result and the user's emotional state, thereby enabling the provision of a customized travel plan that takes the user's emotional state into consideration.

[0364] "User" means a user who uses this system to provide information for generating a travel plan.

[0365] "Input Information" means information provided by a User regarding preferences, budget, travel itinerary, and special requests.

[0366] The "server" is a computer system that analyzes input information and generates and manages travel plans based on the user's preferences and emotional state.

[0367] A "terminal" is a device (e.g., smartphone, PC, tablet) through which a user enters information and sends it to a server.

[0368] An "emotion engine" is software or algorithms that analyze and identify a user's emotional state in real time based on their facial expressions, voice, and input behavior.

[0369] A "database" is a storage device that stores information on tourist spots, accommodations, places to eat, and other information required to generate a travel plan.

[0370] "Keywords" are specific words and phrases that describe a user's preferences, budget, travel dates, or special requirements.

[0371] "Real-time emotional data" refers to data obtained by analyzing the user's emotional state moment by moment.

[0372] A "trip plan" is a detailed guide to destinations, accommodations, activities, etc., generated based on the user's preferences, budget, dates, and special requests.

[0373] "Feedback" means any opinions, ratings, or requests for modifications regarding a travel plan provided by a User.

[0374] This invention is a system that generates a customized travel plan based on a user's preferences, budget, travel schedule, and special requests, and further improves user satisfaction by combining it with an emotion engine that recognizes the user's emotions. The system operates by starting with the user providing input information through a terminal, then the server analyzes the information and uses the emotion engine to generate a travel plan and provide it to the user.

[0375] Collecting User Input

[0376] User:

[0377] The user uses the device to input information about the trip, including preferences (e.g., nature, history), budget, travel dates, and special requests (e.g., bringing pets, accessibility).

[0378] Device:

[0379] The terminal collects the information entered by the user and checks the input data for errors, for example, whether the budget is a negative value or whether the dates are within a valid range. If there are no problems, the terminal sends the collected information to the server.

[0380] Analyzing input data

[0381] server:

[0382] The server receives the user's input information sent from the device, analyzes the received data, and extracts specific keywords and conditions related to the user's preferences, budget, travel schedule, and special requests. For example, the keyword "nature" extracts information about hiking and parks.

[0383] Emotion recognition by emotion engine

[0384] server:

[0385] The server activates the emotion engine and analyzes the user's facial expressions, voice, and input behavior using video and audio data transmitted from the device. For example, if the user smiles while typing, it will recognize this as a positive emotion. The results of this emotion analysis are taken into account along with the input information provided by the user and passed on to the next processing step.

[0386] Generate a travel plan

[0387] server:

[0388] The server searches its internal database based on the analysis results (user preferences, budget, travel schedule, special requests) and emotional state, and lists relevant tourist spots, accommodations, places to eat, etc. For example, search results may include shrines in Kyoto, hot springs in Hakone, and the Shonan coast. Based on this data, a detailed travel plan is automatically generated. This plan includes adjustments that reflect the budget, schedule, special requests, and user emotions.

[0389] Suggestions and feedback gathering

[0390] Device:

[0391] The device presents the travel plan sent from the server to the user in a user-friendly format, including detailed activity and budget information for each day. For example, it might say "Date: November 1st, Location: Kyoto, Activity: Shrine visit."

[0392] User:

[0393] Users can review the displayed itinerary and provide feedback if they dislike any part of it. The emotion engine also analyzes the user's facial expressions, voice, and input behavior in real time. Real-time data provides a more accurate emotional assessment and is reflected in the user's feedback.

[0394] Re-arrange your travel plans

[0395] server:

[0396] The server receives the user's feedback and real-time emotional state and adjusts the itinerary accordingly. For example, if the user feedbacks that they are not interested in visiting shrines, they can add a visit to a museum instead. This adjusted itinerary is then sent back to the user and optimized to maximize user satisfaction.

[0397] Specific examples

[0398] For example, if a user enters the following information:

[0399] Interests: Nature, History

[0400] Budget: 200,000 yen

[0401] Dates: November 1, 2023 to November 7, 2023

[0402] Special Request: Pets Allowed

[0403] The device collects this information and sends it to the server. The server analyzes the input information and evaluates the user's emotional state using an emotion engine. The server searches its database for relevant tourist attractions and activities and generates a travel plan that includes, for example, a shrine visit in Kyoto, a hot spring trip in Hakone, and a coastal stroll in Shonan. The generated plan is presented to the user via the device. The user reviews the plan and provides feedback if they are dissatisfied. The server then adjusts the plan and presents it to the user. In this way, the user can ultimately obtain a travel plan that best suits their needs and emotional state.

[0404] Prompt Sentence Examples

[0405] "If a user selects 'nature' and 'history' as their preferences, a budget of 200,000 yen, dates from November 1, 2023 to November 7, 2023, and a special request that they bring a pet, generate an appropriate travel itinerary. Additionally, adjust the itinerary to take into account the user's emotional state."

[0406] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0407] Step 1: Collecting User Input

[0408] User: The user uses the device to input information about the trip, such as preferences (e.g., nature, history), budget, travel dates, and special requests (e.g., bringing pets, accessibility), etc. This input information becomes the basis for subsequent processing.

[0409] Input: User preferences, budget, travel dates, special requests

[0410] Output: User input information collected on the device

[0411] Step 2: Collecting and sending input information

[0412] Terminal: The terminal collects the information entered by the user and checks the input data for errors, for example, checking that the budget is not a negative value or that the dates are within a valid range. If there are no problems, the terminal sends this information to the server.

[0413] Input: User input information

[0414] Output: Validated input sent to the server

[0415] Step 3: Analyze the input data

[0416] Server: The server receives and analyzes the user's input information sent from the device. The analysis extracts specific keywords and conditions based on the user's preferences, budget, travel schedule, and special requests. For example, the keyword "nature" extracts information about hiking and parks. This clarifies the user's preferences.

[0417] Input: Validated user-entered information

[0418] Output: Parsed keywords and conditions

[0419] Step 4: Emotion Recognition with the Emotion Engine

[0420] Server: The server runs the emotion engine and analyzes the user's facial expressions, voice, and input behavior using video and audio data sent from the device. For example, if the user smiles while typing, it recognizes this as a positive emotion. The results of this emotion analysis are used in the next processing step.

[0421] Input: User's video and audio data

[0422] Output: Emotional state analysis result

[0423] Step 5: Generate your travel plan

[0424] Server: The server searches its internal database based on the analysis results (user preferences, budget, travel schedule, special requests) and emotional state. From the search results, it lists tourist spots, accommodations, and places to eat that match the user's preferences and generates a detailed travel plan. For example, it selects shrines in Kyoto, hot springs in Hakone, and the Shonan coast.

[0425] Input: Analysis results, emotional state, internal database

[0426] Output: Generated itinerary

[0427] Step 6: Present the generated itinerary

[0428] Device: The device presents the travel plan sent from the server to the user. It is displayed in a user-friendly format, including detailed activity and budget information for each day. For example, it might say "Date: November 1st, Location: Kyoto, Activity: Shrine visit."

[0429] Input: Generated itinerary

[0430] Output: A travel plan presented to the user

[0431] Step 7: Gather user feedback

[0432] User: The user reviews the proposed itinerary and provides feedback on any aspects they dislike. The emotion engine also analyzes the user's facial expressions, voice, and input behavior in real time. Real-time data provides a more accurate emotional assessment and is reflected in the user's feedback.

[0433] Input: proposed travel plan

[0434] Output: User feedback, real-time sentiment data

[0435] Step 8: Rearrange your travel plans

[0436] Server: The server receives the user's feedback and real-time emotional state, and adjusts the itinerary accordingly. For example, if the user gives feedback that they are not interested in visiting shrines, they can add a visit to a museum instead. This adjusted itinerary is then sent back to the user.

[0437] Input: User feedback, real-time sentiment data

[0438] Output: Re-arranged itinerary

[0439] (Application example 2)

[0440] 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."

[0441] Conventional food delivery systems have the problem of not taking into account the individual preferences and emotional state of users, making it difficult to increase user satisfaction. Furthermore, they lack a mechanism for efficiently reflecting real-time user feedback, meaning the services provided are not always optimized. There was a need to solve these problems and improve the user experience.

[0442] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0443] In this invention, the server includes: means for a user to provide input information such as preferences, budget, dietary preferences, and special requests; means for analyzing the input information and searching a database for cuisines, restaurants, and food delivery services of interest based on the user's preferences; means for selecting meals and delivery services that fit within the user's budget from the searched candidates and generating a meal plan based on the user's emotional state; means for presenting the generated meal plan to the user and collecting feedback; and means for analyzing real-time emotional data including the feedback and readjusting the meal plan. This makes it possible to provide a customized meal plan that takes into account the user's individual preferences and emotional state, thereby improving user satisfaction.

[0444] "User" means an individual or legal entity that uses the System and provides input information.

[0445] "Preferences" are the preferences a user has for a particular meal, restaurant, or food delivery service.

[0446] A "budget" is the range of amounts a user is willing to spend on meals and food delivery services.

[0447] "Dietary preferences" are information that indicates a user's preference for a particular cuisine or food category.

[0448] "Special needs" are factors such as allergies, dietary restrictions, or religious restrictions that require the user to pay particular attention to when making dietary choices.

[0449] "Input Information" is data such as preferences, budget, dietary preferences, special requests, etc., that a user provides to the system.

[0450] "Analysis" refers to the process by which the server identifies the user's individual needs and preferences based on the input information.

[0451] "Emotional state" refers to the user's psychological and emotional state, determined based on the user's facial expressions and voice data.

[0452] A "meal plan" is a meal suggestion for a user that is generated based on the analysis results and emotional state.

[0453] A "database" is a digital collection that stores information on cuisines, restaurants, food delivery services, etc. that fit a user's tastes and budget.

[0454] "Search" is the act of finding candidates from a database that match the user's requirements.

[0455] "Feedback" means the ratings and opinions provided by a user regarding a proposed meal plan.

[0456] "Recalibration" is the process of modifying and optimizing your meal plan based on collected feedback and real-time emotional data.

[0457] The present invention is a system for generating a customized meal plan that takes into account a user's preferences, budget, dietary preferences, special needs, and emotional state to improve user satisfaction. The system is realized by the following hardware and software:

[0458] Collecting User Input

[0459] User:

[0460] Using their smartphones, users input information such as their preferences, budget, dietary preferences and special requests, and also provide facial images and voice data to identify their emotional state.

[0461] Analyzing input data

[0462] server:

[0463] The server receives the input information sent by the user and analyzes it. An analysis engine is used to identify the user's preferences, budget, dietary preferences, and special requests. This analysis extracts specific keywords and conditions.

[0464] Emotion recognition by emotion engine

[0465] server:

[0466] The server uses an emotion engine to determine the user's emotional state based on facial image and voice data. The emotion engine uses a supervised learning model. The emotional state is taken into account along with input information provided by the user and used to optimize the meal plan.

[0467] Generate a meal plan

[0468] server:

[0469] The server searches its internal database for cuisines, restaurants, and food delivery services that match the user's preferences based on the analysis results and emotional state. Using this information, it generates a meal plan that fits within the user's budget and reflects the user's emotions and special requests.

[0470] Gathering suggestions and feedback

[0471] Device:

[0472] The device presents the meal plan sent from the server to the user, displayed in an easy-to-read format and including detailed meal plans and budget information for each day.

[0473] User:

[0474] The user reviews the presented meal plan and provides feedback, including their rating and opinion. The user's facial expressions and voice are also analyzed in real time and sent to the server as emotional data.

[0475] server:

[0476] The server receives feedback and real-time emotional data from users and adjusts the meal plan accordingly, which is then sent back to the user to improve user satisfaction.

[0477] Hardware and software used

[0478] Smartphones: Collecting user input and emotional data.

[0479] Flask (Python web framework): Receives, analyzes, and responds to data as a server.

[0480] emotion_recognition module: Used for analyzing user emotions (supervised learning model).

[0481] Database (e.g. PostgreSQL): Storage for user input data and historical feedback data.

[0482] Analysis engine: Analyzes user input information and extracts specific keywords and conditions.

[0483] Specific examples

[0484] For example, if a user enters the following information:

[0485] Preferences: Italian, Japanese cuisine

[0486] Budget: 3,000 yen

[0487] Special Request: Gluten Free

[0488] If the user's emotion is recognized as "happy," the meal plan will include "Italian" (e.g., pasta, pizza), which will allow the system to provide the optimal meal plan for the user and improve satisfaction.

[0489] Prompt Sentence Examples

[0490] "Tell us about a system that generates optimal meal plans based on a user's dietary preferences, budget, special requests, and facial expression data. How does it suggest menus that fit dietary preferences and budget, and how does it use user feedback and emotional data to refine the plan?"

[0491] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0492] Step 1:

[0493] Using a smartphone, a user inputs information such as preferences (e.g., Italian, Japanese cuisine), budget, and special requests (e.g., gluten-free). They also provide their own facial image and voice data. This input information is collected by a smartphone application and converted into a data format. The collected data is sent to a server over a network. The inputs include the user's food preferences, budget, special requests, facial image, and voice data. The output is sending the data to the server.

[0494] Step 2:

[0495] The server receives input information submitted by the user. The received information is passed to the analytics engine, which extracts specific keywords and conditions based on the user's preferences, budget, dietary preferences, and special requests. This process provides data to understand the user's individual needs. The inputs include user-provided preferences, budget, and special request data. The output includes the extracted keywords and conditions.

[0496] Step 3:

[0497] The server uses an emotion engine to analyze the user's facial image and voice data to identify the user's emotional state. The emotion engine uses a supervised learning model to identify the user's psychological and emotional state. This recognition result is used to optimize the meal plan in the next step. The inputs are facial image and voice data. The output is the user's emotional state.

[0498] Step 4:

[0499] The server searches its internal database for cuisines, restaurants, and food delivery services that match the user's preferences based on the analysis results and emotional state. It filters the relevant items to generate a meal plan that fits within the user's budget. This process results in a candidate meal plan that is optimal for the user. The inputs are the analysis results and emotional state. The output is a candidate meal plan.

[0500] Step 5:

[0501] The device presents the meal plan sent from the server to the user. The plan includes detailed daily meal plans and budget information, and is presented in a format that is easy for the user to understand. The input is the meal plan from the server. The output is the display of the plan to the user.

[0502] Step 6:

[0503] The user reviews the presented meal plan and provides feedback. The feedback includes ratings and opinions on the meal plan. The user's facial expressions and voice are also analyzed in real time and sent to the server as emotional data. The input is the presented meal plan. The output is feedback and emotional data.

[0504] Step 7:

[0505] The server receives feedback and real-time emotional data from the user. Based on this data, it readjusts the meal plan. The readjusted plan is sent back to the user with the goal of improving user satisfaction. The inputs are the feedback and emotional data. The output is the readjusted meal plan.

[0506] 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.

[0507] 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.

[0508] 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.

[0509] [Second embodiment]

[0510] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0511] 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.

[0512] 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).

[0513] 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.

[0514] 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.

[0515] 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).

[0516] 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.

[0517] 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.

[0518] 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.

[0519] 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.

[0520] 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.

[0521] 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."

[0522] The present invention relates to a system for generating customized travel plans based on a user's preferences, budget, travel schedule, special requests, etc. This system allows users to plan their trips easily and efficiently. Below is a description of the program of this system and its natural language processing.

[0523] Collecting and submitting user input

[0524] User:

[0525] The user uses the device to input various information about the trip, such as the user's preferences (e.g., nature, history), budget, travel dates, and special requests (e.g., bringing pets, accessibility).

[0526] Device:

[0527] The device collects information entered by the user and sends it to the server. During this process, it also includes a function to check for input errors.

[0528] Analyzing input data

[0529] server:

[0530] The server receives and analyzes the user-entered information sent from the device, specifically extracting specific keywords and conditions related to the user's preferences, budget, travel schedule, and special requests. The analyzed data is used as input data for the next processing step.

[0531] Generate a travel plan

[0532] server:

[0533] Based on the analysis results, the server searches its internal database for tourist attractions, accommodations, and dining options that match the user's preferences. It obtains information on relevant places and activities and lists them. It then selects tourist attractions and activities that fit within the user's budget and generates a travel plan based on the travel dates. The generated plan also includes detailed information on tourist attractions and corresponding costs.

[0534] Gathering suggestions and feedback

[0535] Device:

[0536] The terminal presents the travel plan sent from the server to the user, who can then review the plan and provide feedback as needed, including requests for corrections or additions.

[0537] User:

[0538] The user can review the proposed travel plan, confirm it if satisfied, and provide feedback if necessary. Based on the user's feedback, the server can adjust the plan again.

[0539] Specific examples

[0540] For example, if a user enters the following information:

[0541] Interests: Nature, History

[0542] Budget: 200,000 yen

[0543] Dates: November 1, 2023 to November 7, 2023

[0544] Special Request: Pets Allowed

[0545] In this case, the device collects this information and sends it to a server. The server analyzes the input information and searches a database for relevant tourist spots and activities. Examples include visiting a shrine in Kyoto, a hot spring trip to Hakone, or a stroll along the coast in Shonan. A travel itinerary is then generated based on this information.

[0546] Finally, the device will present the generated travel plan to the user, who can then review the plan and provide feedback accordingly, allowing the user to easily find the best travel plan for them.

[0547] The present invention makes it possible to quickly and accurately provide travel plans that meet the individual needs of users, dramatically simplifying travel planning for users and improving user satisfaction.

[0548] The processing flow will be explained below.

[0549] Step 1:

[0550] User:

[0551] The user uses the device to input information about the trip, including the user's preferences (e.g., nature, history), budget, travel dates, and special requests (e.g., bringing pets, accessibility, etc.).

[0552] Step 2:

[0553] Device:

[0554] The terminal collects the information entered by the user and checks the format of the input data. It performs a simple check to see if there are any errors or missing fields, notifying the user if any corrections are necessary. Once the check is complete, the information is sent to the server.

[0555] Step 3:

[0556] server:

[0557] The server receives the user's input information sent from the device, analyzes the received data, extracts specific keywords and conditions related to the user's preferences, budget, travel schedule, and special requests, and organizes the analysis results into a format required for database searches.

[0558] Step 4:

[0559] server:

[0560] The server uses the analysis results to search its internal database, which stores information on tourist spots, accommodations, places to eat, etc. It selects candidates that match the user's preferences and displays them in a list.

[0561] Step 5:

[0562] server:

[0563] From the list of candidates, select tourist attractions and activities that fit within the user's budget. Then, create a schedule for each day based on the dates. Generate an itinerary that includes detailed information about the selected tourist attractions and activities (e.g., location, budget, and activity content).

[0564] Step 6:

[0565] server:

[0566] The generated itinerary is then formatted and prepared for transmission to the device, including details of activities, transportation, and accommodation for each day, and is also adapted to the user's special requests.

[0567] Step 7:

[0568] Device:

[0569] The device presents the travel plan received from the server to the user, displayed in an easy-to-read format and including detailed activity and budget information for each day.

[0570] Step 8:

[0571] User:

[0572] The user can review the proposed travel plan through the device and confirm it if they are satisfied with it, or enter feedback if they need to make any changes. Feedback can include additional requests or changes.

[0573] Step 9:

[0574] server:

[0575] The server receives feedback from the user and adjusts the travel plan accordingly, and then sends the adjusted plan back to the user, thereby increasing user satisfaction.

[0576] By following the steps above, the system of the present invention can quickly and accurately generate and provide a travel plan tailored to the user's individual needs, dramatically simplifying the user's travel planning process and improving user satisfaction.

[0577] Example 1

[0578] 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."

[0579] Conventional travel plan generation systems do not provide sufficient flexibility to accommodate user preferences and special requests. Furthermore, they lacked a mechanism to automatically detect and correct incorrect or incomplete information entered by the user. This resulted in the inability to provide users with optimal travel plans, leading to a decline in user satisfaction.

[0580] 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.

[0581] In this invention, the server includes means for users to provide input information such as preferences, budget, travel itinerary, and special requests, means for checking the input information in real time to check for formatting errors and missing required fields, means for analyzing the input information and searching a database for tourist attractions, accommodations, and places to eat that are of interest to the user based on the user's preferences, means for selecting tourist attractions and activities that can be visited within the user's budget from the searched candidates and generating an itinerary based on the itinerary, and means for presenting the generated itinerary to the user and collecting feedback, thereby making it possible to provide an itinerary that quickly and accurately reflects the user's preferences and special requests.

[0582] "User" refers to a person who uses the system to make travel plans.

[0583] "Preferences" refer to a traveler's individual tendencies and preferences for the places they want to visit and the activities they want to experience.

[0584] "Budget" refers to the amount set by the user as the total cost of the trip.

[0585] "Travel Itinerary" refers to the period from the start date to the end date of the trip.

[0586] "Special Requirements" refers to any special conditions or requests you may have during your trip (e.g., pets, barrier-free access, etc.).

[0587] "Means" refer to the processes or technical elements used to achieve a particular purpose.

[0588] "Input Information" refers to data provided by the User, such as preferences, budget, travel itinerary, and special requests.

[0589] "Real-time checking" refers to the process of verifying the accuracy and validity of information immediately as it is entered by the user.

[0590] "Analysis" refers to the process of analyzing input data and extracting user preferences and conditions.

[0591] "Database" refers to a system that stores travel-related information (e.g., tourist attractions, accommodations, and places to eat) and manages it in a searchable format.

[0592] "Searching" refers to the process of locating information from a database that matches specific criteria.

[0593] "Generate" refers to the process of creating a specific travel plan for the user based on the analyzed data and search results.

[0594] "Presenting" refers to the process of showing the generated itinerary to the user.

[0595] "Gathering feedback" refers to the process of receiving user opinions and requests for modifications to the proposed travel plan.

[0596] The present invention relates to a system for generating a customized travel plan based on a user's preferences, budget, travel schedule, special requests, etc. This system allows a user to easily obtain the optimal travel plan for themselves. Detailed embodiments of this system are described below.

[0597] Collecting User Input

[0598] User:

[0599] Users use their devices (such as smartphones or PCs) to input information necessary for planning their trip, such as their preferences (e.g., nature, history), budget (e.g., 200,000 yen), travel dates (e.g., November 1, 2023 to November 7, 2023), and special requests (e.g., bringing pets).

[0600] Device:

[0601] The device has the ability to check the information entered by the user in real time to ensure there are no formatting errors or missing required fields, for example, whether the date format is correct or whether the budget is a number. If the information entered is correct, the device sends this information to the server.

[0602] Analyzing input data

[0603] server:

[0604] The server receives user-input information sent from the device, analyzes the received data, and uses analysis modules (e.g., Python scripts, AI models) to extract keywords and conditions related to the user's preferences, budget, travel itinerary, and special requests. For example, keywords such as "nature" and "history" are analyzed.

[0605] Generate a travel plan

[0606] server:

[0607] Based on the analysis results, the server searches an internal database (e.g., MySQL, PostgreSQL) for tourist attractions, accommodations, places to eat, etc. that match the user's preferences. First, it extracts candidate tourist attractions that match the user's preferences. Next, it identifies tourist attractions and activities that are possible within the user's budget and narrows down the candidates. After that, it creates an appropriate schedule according to the travel date. This schedule also includes detailed information about tourist attractions and related costs.

[0608] Gathering suggestions and feedback

[0609] Device:

[0610] The device presents the generated travel plan sent from the server to the user, and provides an interface (e.g., a web page or app screen) where the user can review the plan details. In addition to reviewing the plan, the user also has the option to provide feedback.

[0611] User:

[0612] The user uses the device to review the proposed travel plan. If satisfied, they confirm the plan, but if they have any complaints or requests for additions, they enter their feedback. For example, they might request a higher-ranking accommodation or the addition of another tourist attraction.

[0613] server:

[0614] The server receives the user's feedback again and modifies the plan based on the feedback, for example by searching for new accommodations and incorporating them into the plan. This process is repeated until the user is satisfied.

[0615] Specific examples

[0616] For example, if a user enters the following information:

[0617] Interests: Nature, History

[0618] Budget: 200,000 yen

[0619] Dates: November 1, 2023 to November 7, 2023

[0620] Special Request: Pets Allowed

[0621] Device:

[0622] The information entered by the user is checked in real time and sent to the server, for example, to make sure the date is in the "YYYY-MM-DD" format.

[0623] server:

[0624] The system analyzes the received information and searches a database for relevant tourist spots and accommodations. Specific options include visiting shrines in Kyoto, a hot spring trip to Hakone, and a stroll along the Shonan coast. It then generates a travel plan based on this information.

[0625] Device:

[0626] The generated travel plan is presented to the user, who then reviews the plan and provides feedback such as "I'd like one more tourist spot added."

[0627] server:

[0628] Again, the system receives user feedback and generates a revised plan, for example adding a temple in Nara as a new tourist spot, and sends the updated plan to the device.

[0629] Example prompt

[0630] "Based on the user's input information, generate a travel plan from November 1, 2023 to November 7, 2023, with a budget of 200,000 yen or less. Preferences are nature and history, and special request is bringing pets."

[0631] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0632] Step 1: Collecting and sending user input

[0633] User:

[0634] Users use their own devices (e.g., smartphones or PCs) to input the information necessary for planning a trip (preferences, budget, travel dates, special requests). For example, they specify "nature and history" as their preference, "200,000 yen" as their budget, "November 1, 2023 to November 7, 2023" as their travel dates, and "bringing pets" as their special request.

[0635] Device:

[0636] The terminal checks the information entered by the user in real time. Check items include the accuracy of the date format and the numerical value of the budget. For example, it checks whether the date is entered in "YYYY-MM-DD" format and whether the "budget" is a numerical value. If the input information is correct, it sends this information to the server.

[0637] Input: User preferences, budget, travel dates, special requests

[0638] Output: Send checked trip information to the server

[0639] Step 2: Analyze the input data

[0640] server:

[0641] The server receives user-input information sent from the device and uses an analysis module (e.g., Python script, generative AI model) to extract keywords and conditions related to the user's preferences, budget, travel itinerary, and special requests. For example, keywords such as "nature" and "history" are identified.

[0642] Input: Checked travel information

[0643] Output: Extracted keywords and conditions

[0644] Step 3: Generate a travel plan

[0645] server:

[0646] Based on the analysis results, the server searches an internal database (e.g., MySQL, PostgreSQL) for tourist attractions, accommodations, and dining options that match the user's preferences. For example, it may extract tourist attractions related to "nature" and "history" from the database, such as shrines in Kyoto, hot springs in Hakone, and the Shonan coast. It then selects tourist attractions and activities that can be visited within the user's budget and creates an appropriate itinerary based on the travel date. This schedule also includes detailed information about the tourist attractions and related costs.

[0647] Input: Extracted keywords and conditions

[0648] Output: Generated itinerary (list of tourist attractions, accommodation, places to eat, and corresponding costs)

[0649] Step 4: Gather suggestions and feedback

[0650] Device:

[0651] The device presents the generated itinerary to the user, sent from the server. The user can then review the plan through an interface (e.g., a web page or app screen) where they can view the plan details. They also have the option to provide feedback on the presented plan. For example, they can provide feedback such as "I'd like the accommodations to be more luxurious" or "I'd like additional tourist attractions to be included."

[0652] Input: Generated itinerary

[0653] Output: User feedback

[0654] User:

[0655] The user reviews the proposed travel plan via the device. If satisfied, they confirm the plan and, if necessary, provide feedback to further adjust the plan. For example, they can input feedback such as "I would like the accommodation to be of a higher rank" or "I would like another tourist attraction to be added."

[0656] Input: proposed travel plan

[0657] Output: Feedback for confirmation or correction request

[0658] Step 5: Incorporating feedback

[0659] server:

[0660] The server receives the user's feedback and modifies the itinerary based on it, for example by searching the database again for additional tourist attractions or upgraded accommodations, and then sends the updated itinerary back to the user.

[0661] Input: User feedback

[0662] Output: Modified itinerary

[0663] This allows users to get the best travel plan that perfectly suits their needs and requirements.

[0664] (Application example 1)

[0665] 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."

[0666] Conventional travel plan generation systems rely on users checking travel plans and providing feedback via websites or applications. However, for users who value face-to-face service at brick-and-mortar stores, creating and adjusting travel plans in real time is difficult. Given this background, there is a demand for a system that can efficiently adjust travel plans in real time in cooperation with travel agency staff at brick-and-mortar stores.

[0667] 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.

[0668] In this invention, the server includes: means for a user to provide input information such as preferences, budget, travel itinerary, and special requests; means for analyzing the input information and searching a database for tourist attractions, accommodations, and dining places of interest based on the user's preferences; means for selecting tourist attractions and activities that can be visited within the user's budget from the searched candidates and generating an itinerary based on the itinerary; means for presenting the generated itinerary to the user and collecting feedback; and means for displaying the generated itinerary in real time at a physical store so that the user and staff can confirm and revise it together. This enables travel agency staff at the physical store and the user to cooperate and efficiently adjust and generate customized itineraries in real time.

[0669] "User" means an individual or organization that uses the Travel Plan Generation System to create and adjust a travel plan based on their preferences and requirements.

[0670] "Input Information" means data such as travel preferences, budget, travel dates, and special requests that a user provides to the system.

[0671] "Analysis means" is a function that extracts various keywords and conditions based on the input information provided by the user and performs analysis.

[0672] The "search means" is a function that searches the database for tourist attractions, accommodations, and places to eat that match the user's preferences based on the information obtained by the analysis means.

[0673] The "selection method" is a function that selects tourist spots and activities that are within the user's budget from the information obtained through the search method.

[0674] The "generation means" is a function that creates a specific travel plan based on the information obtained through the selection means and that matches the user's travel schedule.

[0675] The "presentation means" is a function for providing the generated travel plan to the user and collecting feedback from the user.

[0676] "Real-time display means" is a function that displays travel plans created in physical stores to users and staff on the spot, allowing both parties to cooperate in confirming and modifying the plans.

[0677] "Feedback" means any comments or requests for modifications provided by a User regarding a proposed travel plan.

[0678] This invention relates to a system for generating customized travel plans based on a user's preferences, budget, travel itinerary, special requests, etc. To realize this application example, the following means are required.

[0679] System configuration

[0680] This system is realized through the process of collecting and analyzing user information, generating travel plans based on that information, and collecting feedback. The specific hardware and software configuration is as follows:

[0681] Hardware

[0682] Smartphone: Used as a device to receive input information from customers.

[0683] Server: A central processing unit for data analysis and travel plan generation.

[0684] Display devices in physical stores: Used as display devices for smartphones, tablets, digital displays, etc.

[0685] software

[0686] Python program: Used to implement the trip plan generation algorithm.

[0687] Requests library: Required for data communication with the server.

[0688] A server-based travel plan generation API: performs database searches and analysis.

[0689] Program processing

[0690] Collection of User Information

[0691] The user uses their smartphone to input information such as travel preferences, budget, travel dates, and special requests, which is then sent from the smartphone to the server.

[0692] Analyzing data and generating plans

[0693] The server analyzes the input information sent and extracts specific keywords and conditions. Based on the results of this analysis, it searches its internal database for candidates for tourist spots, accommodations, places to eat, etc. that match the user's preferences. From the search results, it selects tourist spots and activities that can be visited within the user's budget and generates a specific travel plan.

[0694] Plan presentation and feedback

[0695] The generated travel plan is presented to the user via a smartphone application. It is also displayed in real time on display devices in physical stores, where travel agency staff can work with the user to confirm and modify the plan. User feedback is sent back to the server, and the travel plan is revised as necessary.

[0696] Specific examples

[0697] For example, a user enters the following information:

[0698] Interests: Nature, history

[0699] Budget: 200,000 yen

[0700] Dates: November 1, 2023 to November 7, 2023

[0701] Special Request: Pets Allowed

[0702] The smartphone collects this information and sends it to a server. The server analyzes the input information and searches a database for relevant tourist spots and activities. Examples include visiting a shrine in Kyoto, a hot spring trip to Hakone, or a stroll along the Shonan coast. The generated itinerary is displayed in real time on a display device in the physical store, where the customer and staff can work together to make any necessary revisions or final adjustments.

[0703] Prompt Sentence Examples

[0704] I'd like to customize my next trip. Please suggest the best plan based on the information below.

[0705] Interests: Nature, History

[0706] Budget: 200,000 yen

[0707] Dates: November 1, 2023 to November 7, 2023

[0708] Special Request: Pets Allowed

[0709] In this way, a concrete embodiment for carrying out the invention is provided, which enables a user to quickly and efficiently generate and adjust a customized travel plan according to their requirements.

[0710] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0711] Step 1:

[0712] The user inputs information about their trip. Using their smartphone, the user inputs travel preferences, budget, travel dates, special requests, etc. The input information is prepared as data in JSON format.

[0713] input:

[0714] Information about your travel preferences, budget, travel dates, and special requests

[0715] output:

[0716] Trip request data in JSON format

[0717] Specific behavior:

[0718] Enter information into each field on the smartphone interface

[0719] Simple check to see if the entered information is correct

[0720] Save input information as JSON format data

[0721] Step 2:

[0722] The device sends the collected user information to the server. The device sends the generated JSON data to the server via an HTTP request. The server receives this data.

[0723] input:

[0724] Trip request data in JSON format

[0725] output:

[0726] Received data for acknowledgment and preparation for analysis

[0727] Specific behavior:

[0728] Generate and send an HTTP request

[0729] Receiving a request on the server side

[0730] Retaining received data for analysis

[0731] Step 3:

[0732] The server analyzes the received data. The server analyzes the input information and extracts keywords and conditions. The results of this analysis are used in the next search step.

[0733] input:

[0734] Received data

[0735] output:

[0736] Analysis results (keywords, conditions)

[0737] Specific behavior:

[0738] Received data is processed by an analysis program

[0739] Extract keywords based on user preferences, budget, dates, and special requests

[0740] Save the extracted keywords in a data structure for use in the next search step

[0741] Step 4:

[0742] The database is searched for tourist attractions and accommodations that match the user's preferences. This search is based on the analysis results. The server selects tourist attractions and activities that fit within the user's budget.

[0743] input:

[0744] Analysis results (keywords, conditions)

[0745] output:

[0746] Database search results (candidate list)

[0747] Specific behavior:

[0748] Generate and execute database queries

[0749] Filtering tourist attractions and accommodations obtained as query results

[0750] Save the filtering results in list format

[0751] Step 5:

[0752] The server generates a specific travel plan based on the database search results, selects sightseeing spots and activities that can be visited within the budget, and creates a schedule based on the travel dates.

[0753] input:

[0754] Search results (candidate list)

[0755] output:

[0756] Generated itinerary

[0757] Specific behavior:

[0758] Select sightseeing spots and activities from a list that fit your budget

[0759] Generate a schedule based on the user's schedule

[0760] Format the generated schedule as a travel plan

[0761] Step 6:

[0762] The generated travel plan is presented to the user and feedback is collected. The device presents the travel plan to the user and displays it in real time. Feedback from the user is sent to the server, and the plan is adjusted again.

[0763] input:

[0764] Generated itinerary

[0765] output:

[0766] User Feedback

[0767] Specific behavior:

[0768] Displaying travel plans on a display device

[0769] Users can review plans and enter corrections or additions.

[0770] Send feedback information to the server

[0771] Servers rebalance based on feedback

[0772] Through each of these steps, users can efficiently generate and adjust travel plans based on their preferences and requirements in real time, and the system can collaborate with brick-and-mortar travel agency staff to optimize travel plans.

[0773] 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.

[0774] The present invention is a system that generates customized travel plans based on a user's preferences, budget, travel schedule, and special requests, and further combines it with an emotion engine that recognizes the user's emotions to improve user satisfaction. Below is an explanation of the program of this system and its natural language processing.

[0775] Collecting and submitting user input

[0776] User:

[0777] The user uses the device to input information about the trip, such as preferences (e.g., nature, history), budget, travel dates, and special requests (e.g., bringing pets, accessibility).

[0778] Device:

[0779] The terminal collects information entered by the user, checks the input data for errors, and if there are no problems, sends the collected information to the server.

[0780] Analyzing input data

[0781] server:

[0782] The server receives the user's input information sent from the device and analyzes it to extract specific keywords and conditions related to the user's preferences, budget, travel schedule, and special requests. The analysis results are used as input data for the next processing step.

[0783] Emotion recognition by emotion engine

[0784] server:

[0785] The server uses an emotion engine to analyze the user's facial expressions, voice, and input behavior to identify their emotional state, which is then taken into account along with the input information provided by the user to tailor the itinerary to maximize the user's satisfaction.

[0786] Generate a travel plan

[0787] server:

[0788] Based on the analysis results and the user's emotional state, the server searches its internal database for tourist attractions, accommodations, and dining locations that match the user's preferences. It then obtains information on relevant locations and activities and generates a travel plan based on that information. The plan includes adjustments that reflect the user's budget, itinerary, special requests, and emotions.

[0789] Gathering suggestions and feedback

[0790] Device:

[0791] The device presents the user with the travel plan sent from the server, displayed in an easy-to-read format, with detailed activity and budget information for each day.

[0792] User:

[0793] The user reviews the proposed itinerary and provides feedback. The emotion engine analyzes the user's facial expressions, voice, and input behavior to evaluate their emotional state in real time, allowing for more accurate feedback.

[0794] server:

[0795] The server receives feedback and real-time emotional state from the user and adjusts the travel plan accordingly, which is then sent back to the user to improve user satisfaction.

[0796] Specific examples

[0797] For example, if a user enters the following information:

[0798] Interests: Nature, History

[0799] Budget: 200,000 yen

[0800] Dates: November 1, 2023 to November 7, 2023

[0801] Special Request: Pets Allowed

[0802] In this case, the device collects this information and sends it to a server. The server analyzes the input information and evaluates the user's emotional state using an emotion engine. It then searches a database for relevant tourist spots and activities and generates a travel plan that includes, for example, a shrine visit in Kyoto, a hot spring trip in Hakone, or a stroll along the Shonan coast.

[0803] The generated plan is presented to the user via their device. The user reviews the plan and confirms it if satisfied, or provides feedback if any changes are needed. Based on the feedback information and real-time emotion analysis data from the emotion engine, the server adjusts the travel plan and presents it to the user again.

[0804] The present invention makes it possible to quickly and accurately provide a travel plan that takes into account the individual needs and emotional state of the user, dramatically simplifying travel planning for users and improving satisfaction.

[0805] The processing flow will be explained below.

[0806] MODE FOR CARRYING OUT THE INVENTION

[0807] This invention is a system that generates customized travel plans based on a user's preferences, budget, travel schedule, and special requests, and further combines it with an emotion engine that recognizes the user's emotions to improve user satisfaction. The program of this system and its processing flow in natural language are shown below.

[0808] Step 1:

[0809] User:

[0810] The user uses the device to input information about the trip, including preferences (e.g., nature, history), budget, travel dates, and special requests (e.g., bringing pets, accessibility).

[0811] Step 2:

[0812] Device:

[0813] The terminal collects the information entered by the user, corrects the format of the input data, checks for errors, and after confirming that the information has been entered correctly, sends the collected information as is to the server.

[0814] Step 3:

[0815] server:

[0816] The server receives the user's input information sent from the device, analyzes the received data, and extracts specific keywords and conditions related to the user's preferences, budget, travel schedule, and special requests. The analysis results are used as input data for the next processing step.

[0817] Step 4:

[0818] server:

[0819] The server uses an emotion engine to continuously receive the user's facial expressions, voice, and input behavior from the device to identify their emotional state, which is then taken into account along with the user's input information to adjust the travel plan to maximize the user's satisfaction.

[0820] Step 5:

[0821] server:

[0822] Based on the analysis results and the user's emotional state, the server searches its internal database for tourist attractions, accommodations, and dining options that match the user's preferences, obtains information on relevant places and activities, and lists them.

[0823] Step 6:

[0824] server:

[0825] From the list of options, the system selects tourist spots and activities that fit within the user's budget. It then creates a schedule for each day based on the date. It generates an itinerary that includes detailed information about the selected tourist spots and activities (e.g., location, budget, and activity content). Again, it adjusts to reflect the user's emotional state.

[0826] Step 7:

[0827] server:

[0828] The generated itinerary is then organized and prepared for sending to the user, including details of activities, transportation, and accommodation for each day, and making adjustments based on special requests, if necessary.

[0829] Step 8:

[0830] Device:

[0831] The device presents the travel plan received from the server to the user in an easy-to-read format, including detailed activity and budget information for each day.

[0832] Step 9:

[0833] User:

[0834] The user reviews the proposed itinerary and, if satisfied, confirms it, or provides feedback if changes are needed. This feedback includes input via the device, suggestions for improvement, and requests for additions.

[0835] Step 10:

[0836] Device:

[0837] While the user is checking their travel plans, the device uses an emotion engine to analyze their facial expressions, voice, and input behavior to assess their emotional state in real time, and this emotional data is also sent to the server as feedback.

[0838] Step 11:

[0839] server:

[0840] The server receives feedback and real-time sentiment data from the user, adjusts the travel plan based on this, and presents the adjusted plan to the user again.

[0841] In this way, the system of the present invention can quickly and accurately provide a travel plan that takes into account the user's individual needs and emotional state, dramatically simplifying the user's travel planning process and improving satisfaction.

[0842] Example 2

[0843] 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."

[0844] Conventional travel plan generation systems provide customized plans based on the user's preferences, budget, travel schedule, and special requests, but lack the ability to adjust the travel plan taking into account the user's emotional state. As a result, the generated plans often do not satisfy the user, and a means to further improve user satisfaction is needed.

[0845] 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.

[0846] In this invention, the server includes means for analyzing input information and searching a database for interesting destinations, accommodations, and places to eat based on the user's preferences, means for analyzing the user's emotions using an emotion engine and identifying the user's emotional state, and means for generating a travel plan that corresponds to the user's budget, schedule, and special requests based on the analysis result and the user's emotional state, thereby enabling the provision of a customized travel plan that takes the user's emotional state into consideration.

[0847] "User" means a user who uses this system to provide information for generating a travel plan.

[0848] "Input Information" means information provided by a User regarding preferences, budget, travel itinerary, and special requests.

[0849] The "server" is a computer system that analyzes input information and generates and manages travel plans based on the user's preferences and emotional state.

[0850] A "terminal" is a device (e.g., smartphone, PC, tablet) through which a user enters information and sends it to a server.

[0851] An "emotion engine" is software or algorithms that analyze and identify a user's emotional state in real time based on their facial expressions, voice, and input behavior.

[0852] A "database" is a storage device that stores information on tourist spots, accommodations, places to eat, and other information required to generate a travel plan.

[0853] "Keywords" are specific words and phrases that describe a user's preferences, budget, travel dates, or special requirements.

[0854] "Real-time emotional data" refers to data obtained by analyzing the user's emotional state moment by moment.

[0855] A "trip plan" is a detailed guide to destinations, accommodations, activities, etc., generated based on the user's preferences, budget, dates, and special requests.

[0856] "Feedback" means any opinions, ratings, or requests for modifications regarding a travel plan provided by a User.

[0857] This invention is a system that generates a customized travel plan based on a user's preferences, budget, travel schedule, and special requests, and further improves user satisfaction by combining it with an emotion engine that recognizes the user's emotions. The system operates by starting with the user providing input information through a terminal, then the server analyzes the information and uses the emotion engine to generate a travel plan and provide it to the user.

[0858] Collecting User Input

[0859] User:

[0860] The user uses the device to input information about the trip, including preferences (e.g., nature, history), budget, travel dates, and special requests (e.g., bringing pets, accessibility).

[0861] Device:

[0862] The terminal collects the information entered by the user and checks the input data for errors, for example, whether the budget is a negative value or whether the dates are within a valid range. If there are no problems, the terminal sends the collected information to the server.

[0863] Analyzing input data

[0864] server:

[0865] The server receives the user's input information sent from the device, analyzes the received data, and extracts specific keywords and conditions related to the user's preferences, budget, travel schedule, and special requests. For example, the keyword "nature" extracts information about hiking and parks.

[0866] Emotion recognition by emotion engine

[0867] server:

[0868] The server activates the emotion engine and analyzes the user's facial expressions, voice, and input behavior using video and audio data transmitted from the device. For example, if the user smiles while typing, it will recognize this as a positive emotion. The results of this emotion analysis are taken into account along with the input information provided by the user and passed on to the next processing step.

[0869] Generate a travel plan

[0870] server:

[0871] The server searches its internal database based on the analysis results (user preferences, budget, travel schedule, special requests) and emotional state, and lists relevant tourist spots, accommodations, places to eat, etc. For example, search results may include shrines in Kyoto, hot springs in Hakone, and the Shonan coast. Based on this data, a detailed travel plan is automatically generated. This plan includes adjustments that reflect the budget, schedule, special requests, and user emotions.

[0872] Suggestions and feedback gathering

[0873] Device:

[0874] The device presents the travel plan sent from the server to the user in a user-friendly format, including detailed activity and budget information for each day. For example, it might say "Date: November 1st, Location: Kyoto, Activity: Shrine visit."

[0875] User:

[0876] Users can review the displayed itinerary and provide feedback if they dislike any part of it. The emotion engine also analyzes the user's facial expressions, voice, and input behavior in real time. Real-time data provides a more accurate emotional assessment and is reflected in the user's feedback.

[0877] Re-arrange your travel plans

[0878] server:

[0879] The server receives the user's feedback and real-time emotional state and adjusts the itinerary accordingly. For example, if the user feedbacks that they are not interested in visiting shrines, they can add a visit to a museum instead. This adjusted itinerary is then sent back to the user and optimized to maximize user satisfaction.

[0880] Specific examples

[0881] For example, if a user enters the following information:

[0882] Interests: Nature, History

[0883] Budget: 200,000 yen

[0884] Dates: November 1, 2023 to November 7, 2023

[0885] Special Request: Pets Allowed

[0886] The device collects this information and sends it to the server. The server analyzes the input information and evaluates the user's emotional state using an emotion engine. The server searches its database for relevant tourist attractions and activities and generates a travel plan that includes, for example, a shrine visit in Kyoto, a hot spring trip in Hakone, and a coastal stroll in Shonan. The generated plan is presented to the user via the device. The user reviews the plan and provides feedback if they are dissatisfied. The server then adjusts the plan and presents it to the user. In this way, the user can ultimately obtain a travel plan that best suits their needs and emotional state.

[0887] Prompt Sentence Examples

[0888] "If a user selects 'nature' and 'history' as their preferences, a budget of 200,000 yen, dates from November 1, 2023 to November 7, 2023, and a special request that they bring a pet, generate an appropriate travel itinerary. Additionally, adjust the itinerary to take into account the user's emotional state."

[0889] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0890] Step 1: Collecting User Input

[0891] User: The user uses the device to input information about the trip, such as preferences (e.g., nature, history), budget, travel dates, and special requests (e.g., bringing pets, accessibility), etc. This input information becomes the basis for subsequent processing.

[0892] Input: User preferences, budget, travel dates, special requests

[0893] Output: User input information collected on the device

[0894] Step 2: Collecting and sending input information

[0895] Terminal: The terminal collects the information entered by the user and checks the input data for errors, for example, checking that the budget is not a negative value or that the dates are within a valid range. If there are no problems, the terminal sends this information to the server.

[0896] Input: User input information

[0897] Output: Validated input sent to the server

[0898] Step 3: Analyze the input data

[0899] Server: The server receives and analyzes the user's input information sent from the device. The analysis extracts specific keywords and conditions based on the user's preferences, budget, travel schedule, and special requests. For example, the keyword "nature" extracts information about hiking and parks. This clarifies the user's preferences.

[0900] Input: Validated user-entered information

[0901] Output: Parsed keywords and conditions

[0902] Step 4: Emotion Recognition with the Emotion Engine

[0903] Server: The server runs the emotion engine and analyzes the user's facial expressions, voice, and input behavior using video and audio data sent from the device. For example, if the user smiles while typing, it recognizes this as a positive emotion. The results of this emotion analysis are used in the next processing step.

[0904] Input: User's video and audio data

[0905] Output: Emotional state analysis result

[0906] Step 5: Generate your travel plan

[0907] Server: The server searches its internal database based on the analysis results (user preferences, budget, travel schedule, special requests) and emotional state. From the search results, it lists tourist spots, accommodations, and places to eat that match the user's preferences and generates a detailed travel plan. For example, it selects shrines in Kyoto, hot springs in Hakone, and the Shonan coast.

[0908] Input: Analysis results, emotional state, internal database

[0909] Output: Generated itinerary

[0910] Step 6: Present the generated itinerary

[0911] Device: The device presents the travel plan sent from the server to the user. It is displayed in a user-friendly format, including detailed activity and budget information for each day. For example, it might say "Date: November 1st, Location: Kyoto, Activity: Shrine visit."

[0912] Input: Generated itinerary

[0913] Output: A travel plan presented to the user

[0914] Step 7: Gather user feedback

[0915] User: The user reviews the proposed itinerary and provides feedback on any aspects they dislike. The emotion engine also analyzes the user's facial expressions, voice, and input behavior in real time. Real-time data provides a more accurate emotional assessment and is reflected in the user's feedback.

[0916] Input: proposed travel plan

[0917] Output: User feedback, real-time sentiment data

[0918] Step 8: Rearrange your travel plans

[0919] Server: The server receives the user's feedback and real-time emotional state, and adjusts the itinerary accordingly. For example, if the user gives feedback that they are not interested in visiting shrines, they can add a visit to a museum instead. This adjusted itinerary is then sent back to the user.

[0920] Input: User feedback, real-time sentiment data

[0921] Output: Re-arranged itinerary

[0922] (Application example 2)

[0923] 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."

[0924] Conventional food delivery systems have the problem of not taking into account the individual preferences and emotional state of users, making it difficult to increase user satisfaction. Furthermore, they lack a mechanism for efficiently reflecting real-time user feedback, meaning the services provided are not always optimized. There was a need to solve these problems and improve the user experience.

[0925] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0926] In this invention, the server includes: means for a user to provide input information such as preferences, budget, dietary preferences, and special requests; means for analyzing the input information and searching a database for cuisines, restaurants, and food delivery services of interest based on the user's preferences; means for selecting meals and delivery services that fit within the user's budget from the searched candidates and generating a meal plan based on the user's emotional state; means for presenting the generated meal plan to the user and collecting feedback; and means for analyzing real-time emotional data including the feedback and readjusting the meal plan. This makes it possible to provide a customized meal plan that takes into account the user's individual preferences and emotional state, thereby improving user satisfaction.

[0927] "User" means an individual or legal entity that uses the System and provides input information.

[0928] "Preferences" are the preferences a user has for a particular meal, restaurant, or food delivery service.

[0929] A "budget" is the range of amounts a user is willing to spend on meals and food delivery services.

[0930] "Dietary preferences" are information that indicates a user's preference for a particular cuisine or food category.

[0931] "Special needs" are factors such as allergies, dietary restrictions, or religious restrictions that require the user to pay particular attention to when making dietary choices.

[0932] "Input Information" is data such as preferences, budget, dietary preferences, special requests, etc., that a user provides to the system.

[0933] "Analysis" refers to the process by which the server identifies the user's individual needs and preferences based on the input information.

[0934] "Emotional state" refers to the user's psychological and emotional state, determined based on the user's facial expressions and voice data.

[0935] A "meal plan" is a meal suggestion for a user that is generated based on the analysis results and emotional state.

[0936] A "database" is a digital collection that stores information on cuisines, restaurants, food delivery services, etc. that fit a user's tastes and budget.

[0937] "Search" is the act of finding candidates from a database that match the user's requirements.

[0938] "Feedback" means the ratings and opinions provided by a user regarding a proposed meal plan.

[0939] "Recalibration" is the process of modifying and optimizing your meal plan based on collected feedback and real-time emotional data.

[0940] The present invention is a system for generating a customized meal plan that takes into account a user's preferences, budget, dietary preferences, special needs, and emotional state to improve user satisfaction. The system is realized by the following hardware and software:

[0941] Collecting User Input

[0942] User:

[0943] Using their smartphones, users input information such as their preferences, budget, dietary preferences and special requests, and also provide facial images and voice data to identify their emotional state.

[0944] Analyzing input data

[0945] server:

[0946] The server receives the input information sent by the user and analyzes it. An analysis engine is used to identify the user's preferences, budget, dietary preferences, and special requests. This analysis extracts specific keywords and conditions.

[0947] Emotion recognition by emotion engine

[0948] server:

[0949] The server uses an emotion engine to determine the user's emotional state based on facial image and voice data. The emotion engine uses a supervised learning model. The emotional state is taken into account along with input information provided by the user and used to optimize the meal plan.

[0950] Generate a meal plan

[0951] server:

[0952] The server searches its internal database for cuisines, restaurants, and food delivery services that match the user's preferences based on the analysis results and emotional state. Using this information, it generates a meal plan that fits within the user's budget and reflects the user's emotions and special requests.

[0953] Gathering suggestions and feedback

[0954] Device:

[0955] The device presents the meal plan sent from the server to the user, displayed in an easy-to-read format and including detailed meal plans and budget information for each day.

[0956] User:

[0957] The user reviews the presented meal plan and provides feedback, including their rating and opinion. The user's facial expressions and voice are also analyzed in real time and sent to the server as emotional data.

[0958] server:

[0959] The server receives feedback and real-time emotional data from users and adjusts the meal plan accordingly, which is then sent back to the user to improve user satisfaction.

[0960] Hardware and software used

[0961] Smartphones: Collecting user input and emotional data.

[0962] Flask (Python web framework): Receives, analyzes, and responds to data as a server.

[0963] emotion_recognition module: Used for analyzing user emotions (supervised learning model).

[0964] Database (e.g. PostgreSQL): Storage for user input data and historical feedback data.

[0965] Analysis engine: Analyzes user input information and extracts specific keywords and conditions.

[0966] Specific examples

[0967] For example, if a user enters the following information:

[0968] Preferences: Italian, Japanese cuisine

[0969] Budget: 3,000 yen

[0970] Special Request: Gluten Free

[0971] If the user's emotion is recognized as "happy," the meal plan will include "Italian" (e.g., pasta, pizza), which will allow the system to provide the optimal meal plan for the user and improve satisfaction.

[0972] Prompt Sentence Examples

[0973] "Tell us about a system that generates optimal meal plans based on a user's dietary preferences, budget, special requests, and facial expression data. How does it suggest menus that fit dietary preferences and budget, and how does it use user feedback and emotional data to refine the plan?"

[0974] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0975] Step 1:

[0976] Using a smartphone, a user inputs information such as preferences (e.g., Italian, Japanese cuisine), budget, and special requests (e.g., gluten-free). They also provide their own facial image and voice data. This input information is collected by a smartphone application and converted into a data format. The collected data is sent to a server over a network. The inputs include the user's food preferences, budget, special requests, facial image, and voice data. The output is sending the data to the server.

[0977] Step 2:

[0978] The server receives input information submitted by the user. The received information is passed to the analytics engine, which extracts specific keywords and conditions based on the user's preferences, budget, dietary preferences, and special requests. This process provides data to understand the user's individual needs. The inputs include user-provided preferences, budget, and special request data. The output includes the extracted keywords and conditions.

[0979] Step 3:

[0980] The server uses an emotion engine to analyze the user's facial image and voice data to identify the user's emotional state. The emotion engine uses a supervised learning model to identify the user's psychological and emotional state. This recognition result is used to optimize the meal plan in the next step. The inputs are facial image and voice data. The output is the user's emotional state.

[0981] Step 4:

[0982] The server searches its internal database for cuisines, restaurants, and food delivery services that match the user's preferences based on the analysis results and emotional state. It filters the relevant items to generate a meal plan that fits within the user's budget. This process results in a candidate meal plan that is optimal for the user. The inputs are the analysis results and emotional state. The output is a candidate meal plan.

[0983] Step 5:

[0984] The device presents the meal plan sent from the server to the user. The plan includes detailed daily meal plans and budget information, and is presented in a format that is easy for the user to understand. The input is the meal plan from the server. The output is the display of the plan to the user.

[0985] Step 6:

[0986] The user reviews the presented meal plan and provides feedback. The feedback includes ratings and opinions on the meal plan. The user's facial expressions and voice are also analyzed in real time and sent to the server as emotional data. The input is the presented meal plan. The output is feedback and emotional data.

[0987] Step 7:

[0988] The server receives feedback and real-time emotional data from the user. Based on this data, it readjusts the meal plan. The readjusted plan is sent back to the user with the goal of improving user satisfaction. The inputs are the feedback and emotional data. The output is the readjusted meal plan.

[0989] 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.

[0990] 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.

[0991] 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.

[0992] [Third embodiment]

[0993] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0994] 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.

[0995] 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).

[0996] 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.

[0997] 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.

[0998] 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).

[0999] 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.

[1000] 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.

[1001] 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.

[1002] 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.

[1003] 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.

[1004] 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."

[1005] The present invention relates to a system for generating customized travel plans based on a user's preferences, budget, travel schedule, special requests, etc. This system allows users to plan their trips easily and efficiently. Below is a description of the program of this system and its natural language processing.

[1006] Collecting and submitting user input

[1007] User:

[1008] The user uses the device to input various information about the trip, such as the user's preferences (e.g., nature, history), budget, travel dates, and special requests (e.g., bringing pets, accessibility).

[1009] Device:

[1010] The device collects information entered by the user and sends it to the server. During this process, it also includes a function to check for input errors.

[1011] Analyzing input data

[1012] server:

[1013] The server receives and analyzes the user-entered information sent from the device, specifically extracting specific keywords and conditions related to the user's preferences, budget, travel schedule, and special requests. The analyzed data is used as input data for the next processing step.

[1014] Generate a travel plan

[1015] server:

[1016] Based on the analysis results, the server searches its internal database for tourist attractions, accommodations, and dining options that match the user's preferences. It obtains information on relevant places and activities and lists them. It then selects tourist attractions and activities that fit within the user's budget and generates a travel plan based on the travel dates. The generated plan also includes detailed information on tourist attractions and corresponding costs.

[1017] Gathering suggestions and feedback

[1018] Device:

[1019] The terminal presents the travel plan sent from the server to the user, who can then review the plan and provide feedback as needed, including requests for corrections or additions.

[1020] User:

[1021] The user can review the proposed travel plan, confirm it if satisfied, and provide feedback if necessary. Based on the user's feedback, the server can adjust the plan again.

[1022] Specific examples

[1023] For example, if a user enters the following information:

[1024] Interests: Nature, History

[1025] Budget: 200,000 yen

[1026] Dates: November 1, 2023 to November 7, 2023

[1027] Special Request: Pets Allowed

[1028] In this case, the device collects this information and sends it to a server. The server analyzes the input information and searches a database for relevant tourist spots and activities. Examples include visiting a shrine in Kyoto, a hot spring trip to Hakone, or a stroll along the coast in Shonan. A travel itinerary is then generated based on this information.

[1029] Finally, the device will present the generated travel plan to the user, who can then review the plan and provide feedback accordingly, allowing the user to easily find the best travel plan for them.

[1030] The present invention makes it possible to quickly and accurately provide travel plans that meet the individual needs of users, dramatically simplifying travel planning for users and improving user satisfaction.

[1031] The processing flow will be explained below.

[1032] Step 1:

[1033] User:

[1034] The user uses the device to input information about the trip, including the user's preferences (e.g., nature, history), budget, travel dates, and special requests (e.g., bringing pets, accessibility, etc.).

[1035] Step 2:

[1036] Device:

[1037] The terminal collects the information entered by the user and checks the format of the input data. It performs a simple check to see if there are any errors or missing fields, notifying the user if any corrections are necessary. Once the check is complete, the information is sent to the server.

[1038] Step 3:

[1039] server:

[1040] The server receives the user's input information sent from the device, analyzes the received data, extracts specific keywords and conditions related to the user's preferences, budget, travel schedule, and special requests, and organizes the analysis results into a format required for database searches.

[1041] Step 4:

[1042] server:

[1043] The server uses the analysis results to search its internal database, which stores information on tourist spots, accommodations, places to eat, etc. It selects candidates that match the user's preferences and displays them in a list.

[1044] Step 5:

[1045] server:

[1046] From the list of candidates, select tourist attractions and activities that fit within the user's budget. Then, create a schedule for each day based on the dates. Generate an itinerary that includes detailed information about the selected tourist attractions and activities (e.g., location, budget, and activity content).

[1047] Step 6:

[1048] server:

[1049] The generated itinerary is then formatted and prepared for transmission to the device, including details of activities, transportation, and accommodation for each day, and is also adapted to the user's special requests.

[1050] Step 7:

[1051] Device:

[1052] The device presents the travel plan received from the server to the user, displayed in an easy-to-read format and including detailed activity and budget information for each day.

[1053] Step 8:

[1054] User:

[1055] The user can review the proposed travel plan through the device and confirm it if they are satisfied with it, or enter feedback if they need to make any changes. Feedback can include additional requests or changes.

[1056] Step 9:

[1057] server:

[1058] The server receives feedback from the user and adjusts the travel plan accordingly, and then sends the adjusted plan back to the user, thereby increasing user satisfaction.

[1059] By following the steps above, the system of the present invention can quickly and accurately generate and provide a travel plan tailored to the user's individual needs, dramatically simplifying the user's travel planning process and improving user satisfaction.

[1060] Example 1

[1061] 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."

[1062] Conventional travel plan generation systems do not provide sufficient flexibility to accommodate user preferences and special requests. Furthermore, they lacked a mechanism to automatically detect and correct incorrect or incomplete information entered by the user. This resulted in the inability to provide users with optimal travel plans, leading to a decline in user satisfaction.

[1063] 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.

[1064] In this invention, the server includes means for users to provide input information such as preferences, budget, travel itinerary, and special requests, means for checking the input information in real time to check for formatting errors and missing required fields, means for analyzing the input information and searching a database for tourist attractions, accommodations, and places to eat that are of interest to the user based on the user's preferences, means for selecting tourist attractions and activities that can be visited within the user's budget from the searched candidates and generating an itinerary based on the itinerary, and means for presenting the generated itinerary to the user and collecting feedback, thereby making it possible to provide an itinerary that quickly and accurately reflects the user's preferences and special requests.

[1065] "User" refers to a person who uses the system to make travel plans.

[1066] "Preferences" refer to a traveler's individual tendencies and preferences for the places they want to visit and the activities they want to experience.

[1067] "Budget" refers to the amount set by the user as the total cost of the trip.

[1068] "Travel Itinerary" refers to the period from the start date to the end date of the trip.

[1069] "Special Requirements" refers to any special conditions or requests you may have during your trip (e.g., pets, barrier-free access, etc.).

[1070] "Means" refer to the processes or technical elements used to achieve a particular purpose.

[1071] "Input Information" refers to data provided by the User, such as preferences, budget, travel itinerary, and special requests.

[1072] "Real-time checking" refers to the process of verifying the accuracy and validity of information immediately as it is entered by the user.

[1073] "Analysis" refers to the process of analyzing input data and extracting user preferences and conditions.

[1074] "Database" refers to a system that stores travel-related information (e.g., tourist attractions, accommodations, and places to eat) and manages it in a searchable format.

[1075] "Searching" refers to the process of locating information from a database that matches specific criteria.

[1076] "Generate" refers to the process of creating a specific travel plan for the user based on the analyzed data and search results.

[1077] "Presenting" refers to the process of showing the generated itinerary to the user.

[1078] "Gathering feedback" refers to the process of receiving user opinions and requests for modifications to the proposed travel plan.

[1079] The present invention relates to a system for generating a customized travel plan based on a user's preferences, budget, travel schedule, special requests, etc. This system allows a user to easily obtain the optimal travel plan for themselves. Detailed embodiments of this system are described below.

[1080] Collecting User Input

[1081] User:

[1082] Users use their devices (such as smartphones or PCs) to input information necessary for planning their trip, such as their preferences (e.g., nature, history), budget (e.g., 200,000 yen), travel dates (e.g., November 1, 2023 to November 7, 2023), and special requests (e.g., bringing pets).

[1083] Device:

[1084] The device has the ability to check the information entered by the user in real time to ensure there are no formatting errors or missing required fields, for example, whether the date format is correct or whether the budget is a number. If the information entered is correct, the device sends this information to the server.

[1085] Analyzing input data

[1086] server:

[1087] The server receives user-input information sent from the device, analyzes the received data, and uses analysis modules (e.g., Python scripts, AI models) to extract keywords and conditions related to the user's preferences, budget, travel itinerary, and special requests. For example, keywords such as "nature" and "history" are analyzed.

[1088] Generate a travel plan

[1089] server:

[1090] Based on the analysis results, the server searches an internal database (e.g., MySQL, PostgreSQL) for tourist attractions, accommodations, places to eat, etc. that match the user's preferences. First, it extracts candidate tourist attractions that match the user's preferences. Next, it identifies tourist attractions and activities that are possible within the user's budget and narrows down the candidates. After that, it creates an appropriate schedule according to the travel date. This schedule also includes detailed information about tourist attractions and related costs.

[1091] Gathering suggestions and feedback

[1092] Device:

[1093] The device presents the generated travel plan sent from the server to the user, and provides an interface (e.g., a web page or app screen) where the user can review the plan details. In addition to reviewing the plan, the user also has the option to provide feedback.

[1094] User:

[1095] The user uses the device to review the proposed travel plan. If satisfied, they confirm the plan, but if they have any complaints or requests for additions, they enter their feedback. For example, they might request a higher-ranking accommodation or the addition of another tourist attraction.

[1096] server:

[1097] The server receives the user's feedback again and modifies the plan based on the feedback, for example by searching for new accommodations and incorporating them into the plan. This process is repeated until the user is satisfied.

[1098] Specific examples

[1099] For example, if a user enters the following information:

[1100] Interests: Nature, History

[1101] Budget: 200,000 yen

[1102] Dates: November 1, 2023 to November 7, 2023

[1103] Special Request: Pets Allowed

[1104] Device:

[1105] The information entered by the user is checked in real time and sent to the server, for example, to make sure the date is in the "YYYY-MM-DD" format.

[1106] server:

[1107] The system analyzes the received information and searches a database for relevant tourist spots and accommodations. Specific options include visiting shrines in Kyoto, a hot spring trip to Hakone, and a stroll along the Shonan coast. It then generates a travel plan based on this information.

[1108] Device:

[1109] The generated travel plan is presented to the user, who then reviews the plan and provides feedback such as "I'd like one more tourist spot added."

[1110] server:

[1111] Again, the system receives user feedback and generates a revised plan, for example adding a temple in Nara as a new tourist spot, and sends the updated plan to the device.

[1112] Example prompt

[1113] "Based on the user's input information, generate a travel plan from November 1, 2023 to November 7, 2023, with a budget of 200,000 yen or less. Preferences are nature and history, and special request is bringing pets."

[1114] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1115] Step 1: Collecting and sending user input

[1116] User:

[1117] Users use their own devices (e.g., smartphones or PCs) to input the information necessary for planning a trip (preferences, budget, travel dates, special requests). For example, they specify "nature and history" as their preference, "200,000 yen" as their budget, "November 1, 2023 to November 7, 2023" as their travel dates, and "bringing pets" as their special request.

[1118] Device:

[1119] The terminal checks the information entered by the user in real time. Check items include the accuracy of the date format and the numerical value of the budget. For example, it checks whether the date is entered in "YYYY-MM-DD" format and whether the "budget" is a numerical value. If the input information is correct, it sends this information to the server.

[1120] Input: User preferences, budget, travel dates, special requests

[1121] Output: Send checked trip information to the server

[1122] Step 2: Analyze the input data

[1123] server:

[1124] The server receives user-input information sent from the device and uses an analysis module (e.g., Python script, generative AI model) to extract keywords and conditions related to the user's preferences, budget, travel itinerary, and special requests. For example, keywords such as "nature" and "history" are identified.

[1125] Input: Checked travel information

[1126] Output: Extracted keywords and conditions

[1127] Step 3: Generate a travel plan

[1128] server:

[1129] Based on the analysis results, the server searches an internal database (e.g., MySQL, PostgreSQL) for tourist attractions, accommodations, and dining options that match the user's preferences. For example, it may extract tourist attractions related to "nature" and "history" from the database, such as shrines in Kyoto, hot springs in Hakone, and the Shonan coast. It then selects tourist attractions and activities that can be visited within the user's budget and creates an appropriate itinerary based on the travel date. This schedule also includes detailed information about the tourist attractions and related costs.

[1130] Input: Extracted keywords and conditions

[1131] Output: Generated itinerary (list of tourist attractions, accommodation, places to eat, and corresponding costs)

[1132] Step 4: Gather suggestions and feedback

[1133] Device:

[1134] The device presents the generated itinerary to the user, sent from the server. The user can then review the plan through an interface (e.g., a web page or app screen) where they can view the plan details. They also have the option to provide feedback on the presented plan. For example, they can provide feedback such as "I'd like the accommodations to be more luxurious" or "I'd like additional tourist attractions to be included."

[1135] Input: Generated itinerary

[1136] Output: User feedback

[1137] User:

[1138] The user reviews the proposed travel plan via the device. If satisfied, they confirm the plan and, if necessary, provide feedback to further adjust the plan. For example, they can input feedback such as "I would like the accommodation to be of a higher rank" or "I would like another tourist attraction to be added."

[1139] Input: proposed travel plan

[1140] Output: Feedback for confirmation or correction request

[1141] Step 5: Incorporating feedback

[1142] server:

[1143] The server receives the user's feedback and modifies the itinerary based on it, for example by searching the database again for additional tourist attractions or upgraded accommodations, and then sends the updated itinerary back to the user.

[1144] Input: User feedback

[1145] Output: Modified itinerary

[1146] This allows users to get the best travel plan that perfectly suits their needs and requirements.

[1147] (Application example 1)

[1148] 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."

[1149] Conventional travel plan generation systems rely on users checking travel plans and providing feedback via websites or applications. However, for users who value face-to-face service at brick-and-mortar stores, creating and adjusting travel plans in real time is difficult. Given this background, there is a demand for a system that can efficiently adjust travel plans in real time in cooperation with travel agency staff at brick-and-mortar stores.

[1150] 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.

[1151] In this invention, the server includes: means for a user to provide input information such as preferences, budget, travel itinerary, and special requests; means for analyzing the input information and searching a database for tourist attractions, accommodations, and dining places of interest based on the user's preferences; means for selecting tourist attractions and activities that can be visited within the user's budget from the searched candidates and generating an itinerary based on the itinerary; means for presenting the generated itinerary to the user and collecting feedback; and means for displaying the generated itinerary in real time at a physical store so that the user and staff can confirm and revise it together. This enables travel agency staff at the physical store and the user to cooperate and efficiently adjust and generate customized itineraries in real time.

[1152] "User" means an individual or organization that uses the Travel Plan Generation System to create and adjust a travel plan based on their preferences and requirements.

[1153] "Input Information" means data such as travel preferences, budget, travel dates, and special requests that a user provides to the system.

[1154] "Analysis means" is a function that extracts various keywords and conditions based on the input information provided by the user and performs analysis.

[1155] The "search means" is a function that searches the database for tourist attractions, accommodations, and places to eat that match the user's preferences based on the information obtained by the analysis means.

[1156] The "selection method" is a function that selects tourist spots and activities that are within the user's budget from the information obtained through the search method.

[1157] The "generation means" is a function that creates a specific travel plan based on the information obtained through the selection means and that matches the user's travel schedule.

[1158] The "presentation means" is a function for providing the generated travel plan to the user and collecting feedback from the user.

[1159] "Real-time display means" is a function that displays travel plans created in physical stores to users and staff on the spot, allowing both parties to cooperate in confirming and modifying the plans.

[1160] "Feedback" means any comments or requests for modifications provided by a User regarding a proposed travel plan.

[1161] This invention relates to a system for generating customized travel plans based on a user's preferences, budget, travel itinerary, special requests, etc. To realize this application example, the following means are required.

[1162] System configuration

[1163] This system is realized through the process of collecting and analyzing user information, generating travel plans based on that information, and collecting feedback. The specific hardware and software configuration is as follows:

[1164] Hardware

[1165] Smartphone: Used as a device to receive input information from customers.

[1166] Server: A central processing unit for data analysis and travel plan generation.

[1167] Display devices in physical stores: Used as display devices for smartphones, tablets, digital displays, etc.

[1168] software

[1169] Python program: Used to implement the trip plan generation algorithm.

[1170] Requests library: Required for data communication with the server.

[1171] A server-based travel plan generation API: performs database searches and analysis.

[1172] Program processing

[1173] Collection of User Information

[1174] The user uses their smartphone to input information such as travel preferences, budget, travel dates, and special requests, which is then sent from the smartphone to the server.

[1175] Analyzing data and generating plans

[1176] The server analyzes the input information sent and extracts specific keywords and conditions. Based on the results of this analysis, it searches its internal database for candidates for tourist spots, accommodations, places to eat, etc. that match the user's preferences. From the search results, it selects tourist spots and activities that can be visited within the user's budget and generates a specific travel plan.

[1177] Plan presentation and feedback

[1178] The generated travel plan is presented to the user via a smartphone application. It is also displayed in real time on display devices in physical stores, where travel agency staff can work with the user to confirm and modify the plan. User feedback is sent back to the server, and the travel plan is revised as necessary.

[1179] Specific examples

[1180] For example, a user enters the following information:

[1181] Interests: Nature, history

[1182] Budget: 200,000 yen

[1183] Dates: November 1, 2023 to November 7, 2023

[1184] Special Request: Pets Allowed

[1185] The smartphone collects this information and sends it to a server. The server analyzes the input information and searches a database for relevant tourist spots and activities. Examples include visiting a shrine in Kyoto, a hot spring trip to Hakone, or a stroll along the Shonan coast. The generated itinerary is displayed in real time on a display device in the physical store, where the customer and staff can work together to make any necessary revisions or final adjustments.

[1186] Prompt Sentence Examples

[1187] I'd like to customize my next trip. Please suggest the best plan based on the information below.

[1188] Interests: Nature, History

[1189] Budget: 200,000 yen

[1190] Dates: November 1, 2023 to November 7, 2023

[1191] Special Request: Pets Allowed

[1192] In this way, a concrete embodiment for carrying out the invention is provided, which enables a user to quickly and efficiently generate and adjust a customized travel plan according to their requirements.

[1193] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1194] Step 1:

[1195] The user inputs information about their trip. Using their smartphone, the user inputs travel preferences, budget, travel dates, special requests, etc. The input information is prepared as data in JSON format.

[1196] input:

[1197] Information about your travel preferences, budget, travel dates, and special requests

[1198] output:

[1199] Trip request data in JSON format

[1200] Specific behavior:

[1201] Enter information into each field on the smartphone interface

[1202] Simple check to see if the entered information is correct

[1203] Save input information as JSON format data

[1204] Step 2:

[1205] The device sends the collected user information to the server. The device sends the generated JSON data to the server via an HTTP request. The server receives this data.

[1206] input:

[1207] Trip request data in JSON format

[1208] output:

[1209] Received data for acknowledgment and preparation for analysis

[1210] Specific behavior:

[1211] Generate and send an HTTP request

[1212] Receiving a request on the server side

[1213] Retaining received data for analysis

[1214] Step 3:

[1215] The server analyzes the received data. The server analyzes the input information and extracts keywords and conditions. The results of this analysis are used in the next search step.

[1216] input:

[1217] Received data

[1218] output:

[1219] Analysis results (keywords, conditions)

[1220] Specific behavior:

[1221] Received data is processed by an analysis program

[1222] Extract keywords based on user preferences, budget, dates, and special requests

[1223] Save the extracted keywords in a data structure for use in the next search step

[1224] Step 4:

[1225] The database is searched for tourist attractions and accommodations that match the user's preferences. This search is based on the analysis results. The server selects tourist attractions and activities that fit within the user's budget.

[1226] input:

[1227] Analysis results (keywords, conditions)

[1228] output:

[1229] Database search results (candidate list)

[1230] Specific behavior:

[1231] Generate and execute database queries

[1232] Filtering tourist attractions and accommodations obtained as query results

[1233] Save the filtering results in list format

[1234] Step 5:

[1235] The server generates a specific travel plan based on the database search results, selects sightseeing spots and activities that can be visited within the budget, and creates a schedule based on the travel dates.

[1236] input:

[1237] Search results (candidate list)

[1238] output:

[1239] Generated itinerary

[1240] Specific behavior:

[1241] Select sightseeing spots and activities from a list that fit your budget

[1242] Generate a schedule based on the user's schedule

[1243] Format the generated schedule as a travel plan

[1244] Step 6:

[1245] The generated travel plan is presented to the user and feedback is collected. The device presents the travel plan to the user and displays it in real time. Feedback from the user is sent to the server, and the plan is adjusted again.

[1246] input:

[1247] Generated itinerary

[1248] output:

[1249] User Feedback

[1250] Specific behavior:

[1251] Displaying travel plans on a display device

[1252] Users can review plans and enter corrections or additions.

[1253] Send feedback information to the server

[1254] Servers rebalance based on feedback

[1255] Through each of these steps, users can efficiently generate and adjust travel plans based on their preferences and requirements in real time, and the system can collaborate with brick-and-mortar travel agency staff to optimize travel plans.

[1256] 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.

[1257] The present invention is a system that generates customized travel plans based on a user's preferences, budget, travel schedule, and special requests, and further combines it with an emotion engine that recognizes the user's emotions to improve user satisfaction. Below is an explanation of the program of this system and its natural language processing.

[1258] Collecting and submitting user input

[1259] User:

[1260] The user uses the device to input information about the trip, such as preferences (e.g., nature, history), budget, travel dates, and special requests (e.g., bringing pets, accessibility).

[1261] Device:

[1262] The terminal collects information entered by the user, checks the input data for errors, and if there are no problems, sends the collected information to the server.

[1263] Analyzing input data

[1264] server:

[1265] The server receives the user's input information sent from the device and analyzes it to extract specific keywords and conditions related to the user's preferences, budget, travel schedule, and special requests. The analysis results are used as input data for the next processing step.

[1266] Emotion recognition by emotion engine

[1267] server:

[1268] The server uses an emotion engine to analyze the user's facial expressions, voice, and input behavior to identify their emotional state, which is then taken into account along with the input information provided by the user to tailor the itinerary to maximize the user's satisfaction.

[1269] Generate a travel plan

[1270] server:

[1271] Based on the analysis results and the user's emotional state, the server searches its internal database for tourist attractions, accommodations, and dining locations that match the user's preferences. It then obtains information on relevant locations and activities and generates a travel plan based on that information. The plan includes adjustments that reflect the user's budget, itinerary, special requests, and emotions.

[1272] Gathering suggestions and feedback

[1273] Device:

[1274] The device presents the user with the travel plan sent from the server, displayed in an easy-to-read format, with detailed activity and budget information for each day.

[1275] User:

[1276] The user reviews the proposed itinerary and provides feedback. The emotion engine analyzes the user's facial expressions, voice, and input behavior to evaluate their emotional state in real time, allowing for more accurate feedback.

[1277] server:

[1278] The server receives feedback and real-time emotional state from the user and adjusts the travel plan accordingly, which is then sent back to the user to improve user satisfaction.

[1279] Specific examples

[1280] For example, if a user enters the following information:

[1281] Interests: Nature, History

[1282] Budget: 200,000 yen

[1283] Dates: November 1, 2023 to November 7, 2023

[1284] Special Request: Pets Allowed

[1285] In this case, the device collects this information and sends it to a server. The server analyzes the input information and evaluates the user's emotional state using an emotion engine. It then searches a database for relevant tourist spots and activities and generates a travel plan that includes, for example, a shrine visit in Kyoto, a hot spring trip in Hakone, or a stroll along the Shonan coast.

[1286] The generated plan is presented to the user via their device. The user reviews the plan and confirms it if satisfied, or provides feedback if any changes are needed. Based on the feedback information and real-time emotion analysis data from the emotion engine, the server adjusts the travel plan and presents it to the user again.

[1287] The present invention makes it possible to quickly and accurately provide a travel plan that takes into account the individual needs and emotional state of the user, dramatically simplifying travel planning for users and improving satisfaction.

[1288] The processing flow will be explained below.

[1289] MODE FOR CARRYING OUT THE INVENTION

[1290] This invention is a system that generates customized travel plans based on a user's preferences, budget, travel schedule, and special requests, and further combines it with an emotion engine that recognizes the user's emotions to improve user satisfaction. The program of this system and its processing flow in natural language are shown below.

[1291] Step 1:

[1292] User:

[1293] The user uses the device to input information about the trip, including preferences (e.g., nature, history), budget, travel dates, and special requests (e.g., bringing pets, accessibility).

[1294] Step 2:

[1295] Device:

[1296] The terminal collects the information entered by the user, corrects the format of the input data, checks for errors, and after confirming that the information has been entered correctly, sends the collected information as is to the server.

[1297] Step 3:

[1298] server:

[1299] The server receives the user's input information sent from the device, analyzes the received data, and extracts specific keywords and conditions related to the user's preferences, budget, travel schedule, and special requests. The analysis results are used as input data for the next processing step.

[1300] Step 4:

[1301] server:

[1302] The server uses an emotion engine to continuously receive the user's facial expressions, voice, and input behavior from the device to identify their emotional state, which is then taken into account along with the user's input information to adjust the travel plan to maximize the user's satisfaction.

[1303] Step 5:

[1304] server:

[1305] Based on the analysis results and the user's emotional state, the server searches its internal database for tourist attractions, accommodations, and dining options that match the user's preferences, obtains information on relevant places and activities, and lists them.

[1306] Step 6:

[1307] server:

[1308] From the list of options, the system selects tourist spots and activities that fit within the user's budget. It then creates a schedule for each day based on the date. It generates an itinerary that includes detailed information about the selected tourist spots and activities (e.g., location, budget, and activity content). Again, it adjusts to reflect the user's emotional state.

[1309] Step 7:

[1310] server:

[1311] The generated itinerary is then organized and prepared for sending to the user, including details of activities, transportation, and accommodation for each day, and making adjustments based on special requests, if necessary.

[1312] Step 8:

[1313] Device:

[1314] The device presents the travel plan received from the server to the user in an easy-to-read format, including detailed activity and budget information for each day.

[1315] Step 9:

[1316] User:

[1317] The user reviews the proposed itinerary and, if satisfied, confirms it, or provides feedback if changes are needed. This feedback includes input via the device, suggestions for improvement, and requests for additions.

[1318] Step 10:

[1319] Device:

[1320] While the user is checking their travel plans, the device uses an emotion engine to analyze their facial expressions, voice, and input behavior to assess their emotional state in real time, and this emotional data is also sent to the server as feedback.

[1321] Step 11:

[1322] server:

[1323] The server receives feedback and real-time sentiment data from the user, adjusts the travel plan based on this, and presents the adjusted plan to the user again.

[1324] In this way, the system of the present invention can quickly and accurately provide a travel plan that takes into account the user's individual needs and emotional state, dramatically simplifying the user's travel planning process and improving satisfaction.

[1325] Example 2

[1326] 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."

[1327] Conventional travel plan generation systems provide customized plans based on the user's preferences, budget, travel schedule, and special requests, but lack the ability to adjust the travel plan taking into account the user's emotional state. As a result, the generated plans often do not satisfy the user, and a means to further improve user satisfaction is needed.

[1328] 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.

[1329] In this invention, the server includes means for analyzing input information and searching a database for interesting destinations, accommodations, and places to eat based on the user's preferences, means for analyzing the user's emotions using an emotion engine and identifying the user's emotional state, and means for generating a travel plan that corresponds to the user's budget, schedule, and special requests based on the analysis result and the user's emotional state, thereby enabling the provision of a customized travel plan that takes the user's emotional state into consideration.

[1330] "User" means a user who uses this system to provide information for generating a travel plan.

[1331] "Input Information" means information provided by a User regarding preferences, budget, travel itinerary, and special requests.

[1332] The "server" is a computer system that analyzes input information and generates and manages travel plans based on the user's preferences and emotional state.

[1333] A "terminal" is a device (e.g., smartphone, PC, tablet) through which a user enters information and sends it to a server.

[1334] An "emotion engine" is software or algorithms that analyze and identify a user's emotional state in real time based on their facial expressions, voice, and input behavior.

[1335] A "database" is a storage device that stores information on tourist spots, accommodations, places to eat, and other information required to generate a travel plan.

[1336] "Keywords" are specific words and phrases that describe a user's preferences, budget, travel dates, or special requirements.

[1337] "Real-time emotional data" refers to data obtained by analyzing the user's emotional state moment by moment.

[1338] A "trip plan" is a detailed guide to destinations, accommodations, activities, etc., generated based on the user's preferences, budget, dates, and special requests.

[1339] "Feedback" means any opinions, ratings, or requests for modifications regarding a travel plan provided by a User.

[1340] This invention is a system that generates a customized travel plan based on a user's preferences, budget, travel schedule, and special requests, and further improves user satisfaction by combining it with an emotion engine that recognizes the user's emotions. The system operates by starting with the user providing input information through a terminal, then the server analyzes the information and uses the emotion engine to generate a travel plan and provide it to the user.

[1341] Collecting User Input

[1342] User:

[1343] The user uses the device to input information about the trip, including preferences (e.g., nature, history), budget, travel dates, and special requests (e.g., bringing pets, accessibility).

[1344] Device:

[1345] The terminal collects the information entered by the user and checks the input data for errors, for example, whether the budget is a negative value or whether the dates are within a valid range. If there are no problems, the terminal sends the collected information to the server.

[1346] Analyzing input data

[1347] server:

[1348] The server receives the user's input information sent from the device, analyzes the received data, and extracts specific keywords and conditions related to the user's preferences, budget, travel schedule, and special requests. For example, the keyword "nature" extracts information about hiking and parks.

[1349] Emotion recognition by emotion engine

[1350] server:

[1351] The server activates the emotion engine and analyzes the user's facial expressions, voice, and input behavior using video and audio data transmitted from the device. For example, if the user smiles while typing, it will recognize this as a positive emotion. The results of this emotion analysis are taken into account along with the input information provided by the user and passed on to the next processing step.

[1352] Generate a travel plan

[1353] server:

[1354] The server searches its internal database based on the analysis results (user preferences, budget, travel schedule, special requests) and emotional state, and lists relevant tourist spots, accommodations, places to eat, etc. For example, search results may include shrines in Kyoto, hot springs in Hakone, and the Shonan coast. Based on this data, a detailed travel plan is automatically generated. This plan includes adjustments that reflect the budget, schedule, special requests, and user emotions.

[1355] Suggestions and feedback gathering

[1356] Device:

[1357] The device presents the travel plan sent from the server to the user in a user-friendly format, including detailed activity and budget information for each day. For example, it might say "Date: November 1st, Location: Kyoto, Activity: Shrine visit."

[1358] User:

[1359] Users can review the displayed itinerary and provide feedback if they dislike any part of it. The emotion engine also analyzes the user's facial expressions, voice, and input behavior in real time. Real-time data provides a more accurate emotional assessment and is reflected in the user's feedback.

[1360] Re-arrange your travel plans

[1361] server:

[1362] The server receives the user's feedback and real-time emotional state and adjusts the itinerary accordingly. For example, if the user feedbacks that they are not interested in visiting shrines, they can add a visit to a museum instead. This adjusted itinerary is then sent back to the user and optimized to maximize user satisfaction.

[1363] Specific examples

[1364] For example, if a user enters the following information:

[1365] Interests: Nature, History

[1366] Budget: 200,000 yen

[1367] Dates: November 1, 2023 to November 7, 2023

[1368] Special Request: Pets Allowed

[1369] The device collects this information and sends it to the server. The server analyzes the input information and evaluates the user's emotional state using an emotion engine. The server searches its database for relevant tourist attractions and activities and generates a travel plan that includes, for example, a shrine visit in Kyoto, a hot spring trip in Hakone, and a coastal stroll in Shonan. The generated plan is presented to the user via the device. The user reviews the plan and provides feedback if they are dissatisfied. The server then adjusts the plan and presents it to the user. In this way, the user can ultimately obtain a travel plan that best suits their needs and emotional state.

[1370] Prompt Sentence Examples

[1371] "If a user selects 'nature' and 'history' as their preferences, a budget of 200,000 yen, dates from November 1, 2023 to November 7, 2023, and a special request that they bring a pet, generate an appropriate travel itinerary. Additionally, adjust the itinerary to take into account the user's emotional state."

[1372] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1373] Step 1: Collecting User Input

[1374] User: The user uses the device to input information about the trip, such as preferences (e.g., nature, history), budget, travel dates, and special requests (e.g., bringing pets, accessibility), etc. This input information becomes the basis for subsequent processing.

[1375] Input: User preferences, budget, travel dates, special requests

[1376] Output: User input information collected on the device

[1377] Step 2: Collecting and sending input information

[1378] Terminal: The terminal collects the information entered by the user and checks the input data for errors, for example, checking that the budget is not a negative value or that the dates are within a valid range. If there are no problems, the terminal sends this information to the server.

[1379] Input: User input information

[1380] Output: Validated input sent to the server

[1381] Step 3: Analyze the input data

[1382] Server: The server receives and analyzes the user's input information sent from the device. The analysis extracts specific keywords and conditions based on the user's preferences, budget, travel schedule, and special requests. For example, the keyword "nature" extracts information about hiking and parks. This clarifies the user's preferences.

[1383] Input: Validated user-entered information

[1384] Output: Parsed keywords and conditions

[1385] Step 4: Emotion Recognition with the Emotion Engine

[1386] Server: The server runs the emotion engine and analyzes the user's facial expressions, voice, and input behavior using video and audio data sent from the device. For example, if the user smiles while typing, it recognizes this as a positive emotion. The results of this emotion analysis are used in the next processing step.

[1387] Input: User's video and audio data

[1388] Output: Emotional state analysis result

[1389] Step 5: Generate your travel plan

[1390] Server: The server searches its internal database based on the analysis results (user preferences, budget, travel schedule, special requests) and emotional state. From the search results, it lists tourist spots, accommodations, and places to eat that match the user's preferences and generates a detailed travel plan. For example, it selects shrines in Kyoto, hot springs in Hakone, and the Shonan coast.

[1391] Input: Analysis results, emotional state, internal database

[1392] Output: Generated itinerary

[1393] Step 6: Present the generated itinerary

[1394] Device: The device presents the travel plan sent from the server to the user. It is displayed in a user-friendly format, including detailed activity and budget information for each day. For example, it might say "Date: November 1st, Location: Kyoto, Activity: Shrine visit."

[1395] Input: Generated itinerary

[1396] Output: A travel plan presented to the user

[1397] Step 7: Gather user feedback

[1398] User: The user reviews the proposed itinerary and provides feedback on any aspects they dislike. The emotion engine also analyzes the user's facial expressions, voice, and input behavior in real time. Real-time data provides a more accurate emotional assessment and is reflected in the user's feedback.

[1399] Input: proposed travel plan

[1400] Output: User feedback, real-time sentiment data

[1401] Step 8: Rearrange your travel plans

[1402] Server: The server receives the user's feedback and real-time emotional state, and adjusts the itinerary accordingly. For example, if the user gives feedback that they are not interested in visiting shrines, they can add a visit to a museum instead. This adjusted itinerary is then sent back to the user.

[1403] Input: User feedback, real-time sentiment data

[1404] Output: Re-arranged itinerary

[1405] (Application example 2)

[1406] 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."

[1407] Conventional food delivery systems have the problem of not taking into account the individual preferences and emotional state of users, making it difficult to increase user satisfaction. Furthermore, they lack a mechanism for efficiently reflecting real-time user feedback, meaning the services provided are not always optimized. There was a need to solve these problems and improve the user experience.

[1408] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1409] In this invention, the server includes: means for a user to provide input information such as preferences, budget, dietary preferences, and special requests; means for analyzing the input information and searching a database for cuisines, restaurants, and food delivery services of interest based on the user's preferences; means for selecting meals and delivery services that fit within the user's budget from the searched candidates and generating a meal plan based on the user's emotional state; means for presenting the generated meal plan to the user and collecting feedback; and means for analyzing real-time emotional data including the feedback and readjusting the meal plan. This makes it possible to provide a customized meal plan that takes into account the user's individual preferences and emotional state, thereby improving user satisfaction.

[1410] "User" means an individual or legal entity that uses the System and provides input information.

[1411] "Preferences" are the preferences a user has for a particular meal, restaurant, or food delivery service.

[1412] A "budget" is the range of amounts a user is willing to spend on meals and food delivery services.

[1413] "Dietary preferences" are information that indicates a user's preference for a particular cuisine or food category.

[1414] "Special needs" are factors such as allergies, dietary restrictions, or religious restrictions that require the user to pay particular attention to when making dietary choices.

[1415] "Input Information" is data such as preferences, budget, dietary preferences, special requests, etc., that a user provides to the system.

[1416] "Analysis" refers to the process by which the server identifies the user's individual needs and preferences based on the input information.

[1417] "Emotional state" refers to the user's psychological and emotional state, determined based on the user's facial expressions and voice data.

[1418] A "meal plan" is a meal suggestion for a user that is generated based on the analysis results and emotional state.

[1419] A "database" is a digital collection that stores information on cuisines, restaurants, food delivery services, etc. that fit a user's tastes and budget.

[1420] "Search" is the act of finding candidates from a database that match the user's requirements.

[1421] "Feedback" means the ratings and opinions provided by a user regarding a proposed meal plan.

[1422] "Recalibration" is the process of modifying and optimizing your meal plan based on collected feedback and real-time emotional data.

[1423] The present invention is a system for generating a customized meal plan that takes into account a user's preferences, budget, dietary preferences, special needs, and emotional state to improve user satisfaction. The system is realized by the following hardware and software:

[1424] Collecting User Input

[1425] User:

[1426] Using their smartphones, users input information such as their preferences, budget, dietary preferences and special requests, and also provide facial images and voice data to identify their emotional state.

[1427] Analyzing input data

[1428] server:

[1429] The server receives the input information sent by the user and analyzes it. An analysis engine is used to identify the user's preferences, budget, dietary preferences, and special requests. This analysis extracts specific keywords and conditions.

[1430] Emotion recognition by emotion engine

[1431] server:

[1432] The server uses an emotion engine to determine the user's emotional state based on facial image and voice data. The emotion engine uses a supervised learning model. The emotional state is taken into account along with input information provided by the user and used to optimize the meal plan.

[1433] Generate a meal plan

[1434] server:

[1435] The server searches its internal database for cuisines, restaurants, and food delivery services that match the user's preferences based on the analysis results and emotional state. Using this information, it generates a meal plan that fits within the user's budget and reflects the user's emotions and special requests.

[1436] Gathering suggestions and feedback

[1437] Device:

[1438] The device presents the meal plan sent from the server to the user, displayed in an easy-to-read format and including detailed meal plans and budget information for each day.

[1439] User:

[1440] The user reviews the presented meal plan and provides feedback, including their rating and opinion. The user's facial expressions and voice are also analyzed in real time and sent to the server as emotional data.

[1441] server:

[1442] The server receives feedback and real-time emotional data from users and adjusts the meal plan accordingly, which is then sent back to the user to improve user satisfaction.

[1443] Hardware and software used

[1444] Smartphones: Collecting user input and emotional data.

[1445] Flask (Python web framework): Receives, analyzes, and responds to data as a server.

[1446] emotion_recognition module: Used for analyzing user emotions (supervised learning model).

[1447] Database (e.g. PostgreSQL): Storage for user input data and historical feedback data.

[1448] Analysis engine: Analyzes user input information and extracts specific keywords and conditions.

[1449] Specific examples

[1450] For example, if a user enters the following information:

[1451] Preferences: Italian, Japanese cuisine

[1452] Budget: 3,000 yen

[1453] Special Request: Gluten Free

[1454] If the user's emotion is recognized as "happy," the meal plan will include "Italian" (e.g., pasta, pizza), which will allow the system to provide the optimal meal plan for the user and improve satisfaction.

[1455] Prompt Sentence Examples

[1456] "Tell us about a system that generates optimal meal plans based on a user's dietary preferences, budget, special requests, and facial expression data. How does it suggest menus that fit dietary preferences and budget, and how does it use user feedback and emotional data to refine the plan?"

[1457] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1458] Step 1:

[1459] Using a smartphone, a user inputs information such as preferences (e.g., Italian, Japanese cuisine), budget, and special requests (e.g., gluten-free). They also provide their own facial image and voice data. This input information is collected by a smartphone application and converted into a data format. The collected data is sent to a server over a network. The inputs include the user's food preferences, budget, special requests, facial image, and voice data. The output is sending the data to the server.

[1460] Step 2:

[1461] The server receives input information submitted by the user. The received information is passed to the analytics engine, which extracts specific keywords and conditions based on the user's preferences, budget, dietary preferences, and special requests. This process provides data to understand the user's individual needs. The inputs include user-provided preferences, budget, and special request data. The output includes the extracted keywords and conditions.

[1462] Step 3:

[1463] The server uses an emotion engine to analyze the user's facial image and voice data to identify the user's emotional state. The emotion engine uses a supervised learning model to identify the user's psychological and emotional state. This recognition result is used to optimize the meal plan in the next step. The inputs are facial image and voice data. The output is the user's emotional state.

[1464] Step 4:

[1465] The server searches its internal database for cuisines, restaurants, and food delivery services that match the user's preferences based on the analysis results and emotional state. It filters the relevant items to generate a meal plan that fits within the user's budget. This process results in a candidate meal plan that is optimal for the user. The inputs are the analysis results and emotional state. The output is a candidate meal plan.

[1466] Step 5:

[1467] The device presents the meal plan sent from the server to the user. The plan includes detailed daily meal plans and budget information, and is presented in a format that is easy for the user to understand. The input is the meal plan from the server. The output is the display of the plan to the user.

[1468] Step 6:

[1469] The user reviews the presented meal plan and provides feedback. The feedback includes ratings and opinions on the meal plan. The user's facial expressions and voice are also analyzed in real time and sent to the server as emotional data. The input is the presented meal plan. The output is feedback and emotional data.

[1470] Step 7:

[1471] The server receives feedback and real-time emotional data from the user. Based on this data, it readjusts the meal plan. The readjusted plan is sent back to the user with the goal of improving user satisfaction. The inputs are the feedback and emotional data. The output is the readjusted meal plan.

[1472] 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.

[1473] 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.

[1474] 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.

[1475] [Fourth embodiment]

[1476] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1477] 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.

[1478] 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).

[1479] 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.

[1480] 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.

[1481] 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).

[1482] 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.

[1483] 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.

[1484] 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.

[1485] 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.

[1486] 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.

[1487] 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.

[1488] 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."

[1489] The present invention relates to a system for generating customized travel plans based on a user's preferences, budget, travel schedule, special requests, etc. This system allows users to plan their trips easily and efficiently. Below is a description of the program of this system and its natural language processing.

[1490] Collecting and submitting user input

[1491] User:

[1492] The user uses the device to input various information about the trip, such as the user's preferences (e.g., nature, history), budget, travel dates, and special requests (e.g., bringing pets, accessibility).

[1493] Device:

[1494] The device collects information entered by the user and sends it to the server. During this process, it also includes a function to check for input errors.

[1495] Analyzing input data

[1496] server:

[1497] The server receives and analyzes the user-entered information sent from the device, specifically extracting specific keywords and conditions related to the user's preferences, budget, travel schedule, and special requests. The analyzed data is used as input data for the next processing step.

[1498] Generate a travel plan

[1499] server:

[1500] Based on the analysis results, the server searches its internal database for tourist attractions, accommodations, and dining options that match the user's preferences. It obtains information on relevant places and activities and lists them. It then selects tourist attractions and activities that fit within the user's budget and generates a travel plan based on the travel dates. The generated plan also includes detailed information on tourist attractions and corresponding costs.

[1501] Gathering suggestions and feedback

[1502] Device:

[1503] The terminal presents the travel plan sent from the server to the user, who can then review the plan and provide feedback as needed, including requests for corrections or additions.

[1504] User:

[1505] The user can review the proposed travel plan, confirm it if satisfied, and provide feedback if necessary. Based on the user's feedback, the server can adjust the plan again.

[1506] Specific examples

[1507] For example, if a user enters the following information:

[1508] Interests: Nature, History

[1509] Budget: 200,000 yen

[1510] Dates: November 1, 2023 to November 7, 2023

[1511] Special Request: Pets Allowed

[1512] In this case, the device collects this information and sends it to a server. The server analyzes the input information and searches a database for relevant tourist spots and activities. Examples include visiting a shrine in Kyoto, a hot spring trip to Hakone, or a stroll along the coast in Shonan. A travel itinerary is then generated based on this information.

[1513] Finally, the device will present the generated travel plan to the user, who can then review the plan and provide feedback accordingly, allowing the user to easily find the best travel plan for them.

[1514] The present invention makes it possible to quickly and accurately provide travel plans that meet the individual needs of users, dramatically simplifying travel planning for users and improving user satisfaction.

[1515] The processing flow will be explained below.

[1516] Step 1:

[1517] User:

[1518] The user uses the device to input information about the trip, including the user's preferences (e.g., nature, history), budget, travel dates, and special requests (e.g., bringing pets, accessibility, etc.).

[1519] Step 2:

[1520] Device:

[1521] The terminal collects the information entered by the user and checks the format of the input data. It performs a simple check to see if there are any errors or missing fields, notifying the user if any corrections are necessary. Once the check is complete, the information is sent to the server.

[1522] Step 3:

[1523] server:

[1524] The server receives the user's input information sent from the device, analyzes the received data, extracts specific keywords and conditions related to the user's preferences, budget, travel schedule, and special requests, and organizes the analysis results into a format required for database searches.

[1525] Step 4:

[1526] server:

[1527] The server uses the analysis results to search its internal database, which stores information on tourist spots, accommodations, places to eat, etc. It selects candidates that match the user's preferences and displays them in a list.

[1528] Step 5:

[1529] server:

[1530] From the list of candidates, select tourist attractions and activities that fit within the user's budget. Then, create a schedule for each day based on the dates. Generate an itinerary that includes detailed information about the selected tourist attractions and activities (e.g., location, budget, and activity content).

[1531] Step 6:

[1532] server:

[1533] The generated itinerary is then formatted and prepared for transmission to the device, including details of activities, transportation, and accommodation for each day, and is also adapted to the user's special requests.

[1534] Step 7:

[1535] Device:

[1536] The device presents the travel plan received from the server to the user, displayed in an easy-to-read format and including detailed activity and budget information for each day.

[1537] Step 8:

[1538] User:

[1539] The user can review the proposed travel plan through the device and confirm it if they are satisfied with it, or enter feedback if they need to make any changes. Feedback can include additional requests or changes.

[1540] Step 9:

[1541] server:

[1542] The server receives feedback from the user and adjusts the travel plan accordingly, and then sends the adjusted plan back to the user, thereby increasing user satisfaction.

[1543] By following the steps above, the system of the present invention can quickly and accurately generate and provide a travel plan tailored to the user's individual needs, dramatically simplifying the user's travel planning process and improving user satisfaction.

[1544] Example 1

[1545] 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."

[1546] Conventional travel plan generation systems do not provide sufficient flexibility to accommodate user preferences and special requests. Furthermore, they lacked a mechanism to automatically detect and correct incorrect or incomplete information entered by the user. This resulted in the inability to provide users with optimal travel plans, leading to a decline in user satisfaction.

[1547] 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.

[1548] In this invention, the server includes means for users to provide input information such as preferences, budget, travel itinerary, and special requests, means for checking the input information in real time to check for formatting errors and missing required fields, means for analyzing the input information and searching a database for tourist attractions, accommodations, and places to eat that are of interest to the user based on the user's preferences, means for selecting tourist attractions and activities that can be visited within the user's budget from the searched candidates and generating an itinerary based on the itinerary, and means for presenting the generated itinerary to the user and collecting feedback, thereby making it possible to provide an itinerary that quickly and accurately reflects the user's preferences and special requests.

[1549] "User" refers to a person who uses the system to make travel plans.

[1550] "Preferences" refer to a traveler's individual tendencies and preferences for the places they want to visit and the activities they want to experience.

[1551] "Budget" refers to the amount set by the user as the total cost of the trip.

[1552] "Travel Itinerary" refers to the period from the start date to the end date of the trip.

[1553] "Special Requirements" refers to any special conditions or requests you may have during your trip (e.g., pets, barrier-free access, etc.).

[1554] "Means" refer to the processes or technical elements used to achieve a particular purpose.

[1555] "Input Information" refers to data provided by the User, such as preferences, budget, travel itinerary, and special requests.

[1556] "Real-time checking" refers to the process of verifying the accuracy and validity of information immediately as it is entered by the user.

[1557] "Analysis" refers to the process of analyzing input data and extracting user preferences and conditions.

[1558] "Database" refers to a system that stores travel-related information (e.g., tourist attractions, accommodations, and places to eat) and manages it in a searchable format.

[1559] "Searching" refers to the process of locating information from a database that matches specific criteria.

[1560] "Generate" refers to the process of creating a specific travel plan for the user based on the analyzed data and search results.

[1561] "Presenting" refers to the process of showing the generated itinerary to the user.

[1562] "Gathering feedback" refers to the process of receiving user opinions and requests for modifications to the proposed travel plan.

[1563] The present invention relates to a system for generating a customized travel plan based on a user's preferences, budget, travel schedule, special requests, etc. This system allows a user to easily obtain the optimal travel plan for themselves. Detailed embodiments of this system are described below.

[1564] Collecting User Input

[1565] User:

[1566] Users use their devices (such as smartphones or PCs) to input information necessary for planning their trip, such as their preferences (e.g., nature, history), budget (e.g., 200,000 yen), travel dates (e.g., November 1, 2023 to November 7, 2023), and special requests (e.g., bringing pets).

[1567] Device:

[1568] The device has the ability to check the information entered by the user in real time to ensure there are no formatting errors or missing required fields, for example, whether the date format is correct or whether the budget is a number. If the information entered is correct, the device sends this information to the server.

[1569] Analyzing input data

[1570] server:

[1571] The server receives user-input information sent from the device, analyzes the received data, and uses analysis modules (e.g., Python scripts, AI models) to extract keywords and conditions related to the user's preferences, budget, travel itinerary, and special requests. For example, keywords such as "nature" and "history" are analyzed.

[1572] Generate a travel plan

[1573] server:

[1574] Based on the analysis results, the server searches an internal database (e.g., MySQL, PostgreSQL) for tourist attractions, accommodations, places to eat, etc. that match the user's preferences. First, it extracts candidate tourist attractions that match the user's preferences. Next, it identifies tourist attractions and activities that are possible within the user's budget and narrows down the candidates. After that, it creates an appropriate schedule according to the travel date. This schedule also includes detailed information about tourist attractions and related costs.

[1575] Gathering suggestions and feedback

[1576] Device:

[1577] The device presents the generated travel plan sent from the server to the user, and provides an interface (e.g., a web page or app screen) where the user can review the plan details. In addition to reviewing the plan, the user also has the option to provide feedback.

[1578] User:

[1579] The user uses the device to review the proposed travel plan. If satisfied, they confirm the plan, but if they have any complaints or requests for additions, they enter their feedback. For example, they might request a higher-ranking accommodation or the addition of another tourist attraction.

[1580] server:

[1581] The server receives the user's feedback again and modifies the plan based on the feedback, for example by searching for new accommodations and incorporating them into the plan. This process is repeated until the user is satisfied.

[1582] Specific examples

[1583] For example, if a user enters the following information:

[1584] Interests: Nature, History

[1585] Budget: 200,000 yen

[1586] Dates: November 1, 2023 to November 7, 2023

[1587] Special Request: Pets Allowed

[1588] Device:

[1589] The information entered by the user is checked in real time and sent to the server, for example, to make sure the date is in the "YYYY-MM-DD" format.

[1590] server:

[1591] The system analyzes the received information and searches a database for relevant tourist spots and accommodations. Specific options include visiting shrines in Kyoto, a hot spring trip to Hakone, and a stroll along the Shonan coast. It then generates a travel plan based on this information.

[1592] Device:

[1593] The generated travel plan is presented to the user, who then reviews the plan and provides feedback such as "I'd like one more tourist spot added."

[1594] server:

[1595] Again, the system receives user feedback and generates a revised plan, for example adding a temple in Nara as a new tourist spot, and sends the updated plan to the device.

[1596] Example prompt

[1597] "Based on the user's input information, generate a travel plan from November 1, 2023 to November 7, 2023, with a budget of 200,000 yen or less. Preferences are nature and history, and special request is bringing pets."

[1598] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1599] Step 1: Collecting and sending user input

[1600] User:

[1601] Users use their own devices (e.g., smartphones or PCs) to input the information necessary for planning a trip (preferences, budget, travel dates, special requests). For example, they specify "nature and history" as their preference, "200,000 yen" as their budget, "November 1, 2023 to November 7, 2023" as their travel dates, and "bringing pets" as their special request.

[1602] Device:

[1603] The terminal checks the information entered by the user in real time. Check items include the accuracy of the date format and the numerical value of the budget. For example, it checks whether the date is entered in "YYYY-MM-DD" format and whether the "budget" is a numerical value. If the input information is correct, it sends this information to the server.

[1604] Input: User preferences, budget, travel dates, special requests

[1605] Output: Send checked trip information to the server

[1606] Step 2: Analyze the input data

[1607] server:

[1608] The server receives user-input information sent from the device and uses an analysis module (e.g., Python script, generative AI model) to extract keywords and conditions related to the user's preferences, budget, travel itinerary, and special requests. For example, keywords such as "nature" and "history" are identified.

[1609] Input: Checked travel information

[1610] Output: Extracted keywords and conditions

[1611] Step 3: Generate a travel plan

[1612] server:

[1613] Based on the analysis results, the server searches an internal database (e.g., MySQL, PostgreSQL) for tourist attractions, accommodations, and dining options that match the user's preferences. For example, it may extract tourist attractions related to "nature" and "history" from the database, such as shrines in Kyoto, hot springs in Hakone, and the Shonan coast. It then selects tourist attractions and activities that can be visited within the user's budget and creates an appropriate itinerary based on the travel date. This schedule also includes detailed information about the tourist attractions and related costs.

[1614] Input: Extracted keywords and conditions

[1615] Output: Generated itinerary (list of tourist attractions, accommodation, places to eat, and corresponding costs)

[1616] Step 4: Gather suggestions and feedback

[1617] Device:

[1618] The device presents the generated itinerary to the user, sent from the server. The user can then review the plan through an interface (e.g., a web page or app screen) where they can view the plan details. They also have the option to provide feedback on the presented plan. For example, they can provide feedback such as "I'd like the accommodations to be more luxurious" or "I'd like additional tourist attractions to be included."

[1619] Input: Generated itinerary

[1620] Output: User feedback

[1621] User:

[1622] The user reviews the proposed travel plan via the device. If satisfied, they confirm the plan and, if necessary, provide feedback to further adjust the plan. For example, they can input feedback such as "I would like the accommodation to be of a higher rank" or "I would like another tourist attraction to be added."

[1623] Input: proposed travel plan

[1624] Output: Feedback for confirmation or correction request

[1625] Step 5: Incorporating feedback

[1626] server:

[1627] The server receives the user's feedback and modifies the itinerary based on it, for example by searching the database again for additional tourist attractions or upgraded accommodations, and then sends the updated itinerary back to the user.

[1628] Input: User feedback

[1629] Output: Modified itinerary

[1630] This allows users to get the best travel plan that perfectly suits their needs and requirements.

[1631] (Application example 1)

[1632] 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."

[1633] Conventional travel plan generation systems rely on users checking travel plans and providing feedback via websites or applications. However, for users who value face-to-face service at brick-and-mortar stores, creating and adjusting travel plans in real time is difficult. Given this background, there is a demand for a system that can efficiently adjust travel plans in real time in cooperation with travel agency staff at brick-and-mortar stores.

[1634] 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.

[1635] In this invention, the server includes: means for a user to provide input information such as preferences, budget, travel itinerary, and special requests; means for analyzing the input information and searching a database for tourist attractions, accommodations, and dining places of interest based on the user's preferences; means for selecting tourist attractions and activities that can be visited within the user's budget from the searched candidates and generating an itinerary based on the itinerary; means for presenting the generated itinerary to the user and collecting feedback; and means for displaying the generated itinerary in real time at a physical store so that the user and staff can confirm and revise it together. This enables travel agency staff at the physical store and the user to cooperate and efficiently adjust and generate customized itineraries in real time.

[1636] "User" means an individual or organization that uses the Travel Plan Generation System to create and adjust a travel plan based on their preferences and requirements.

[1637] "Input Information" means data such as travel preferences, budget, travel dates, and special requests that a user provides to the system.

[1638] "Analysis means" is a function that extracts various keywords and conditions based on the input information provided by the user and performs analysis.

[1639] The "search means" is a function that searches the database for tourist attractions, accommodations, and places to eat that match the user's preferences based on the information obtained by the analysis means.

[1640] The "selection method" is a function that selects tourist spots and activities that are within the user's budget from the information obtained through the search method.

[1641] The "generation means" is a function that creates a specific travel plan based on the information obtained through the selection means and that matches the user's travel schedule.

[1642] The "presentation means" is a function for providing the generated travel plan to the user and collecting feedback from the user.

[1643] "Real-time display means" is a function that displays travel plans created in physical stores to users and staff on the spot, allowing both parties to cooperate in confirming and modifying the plans.

[1644] "Feedback" means any comments or requests for modifications provided by a User regarding a proposed travel plan.

[1645] This invention relates to a system for generating customized travel plans based on a user's preferences, budget, travel itinerary, special requests, etc. To realize this application example, the following means are required.

[1646] System configuration

[1647] This system is realized through the process of collecting and analyzing user information, generating travel plans based on that information, and collecting feedback. The specific hardware and software configuration is as follows:

[1648] Hardware

[1649] Smartphone: Used as a device to receive input information from customers.

[1650] Server: A central processing unit for data analysis and travel plan generation.

[1651] Display devices in physical stores: Used as display devices for smartphones, tablets, digital displays, etc.

[1652] software

[1653] Python program: Used to implement the trip plan generation algorithm.

[1654] Requests library: Required for data communication with the server.

[1655] A server-based travel plan generation API: performs database searches and analysis.

[1656] Program processing

[1657] Collection of User Information

[1658] The user uses their smartphone to input information such as travel preferences, budget, travel dates, and special requests, which is then sent from the smartphone to the server.

[1659] Analyzing data and generating plans

[1660] The server analyzes the input information sent and extracts specific keywords and conditions. Based on the results of this analysis, it searches its internal database for candidates for tourist spots, accommodations, places to eat, etc. that match the user's preferences. From the search results, it selects tourist spots and activities that can be visited within the user's budget and generates a specific travel plan.

[1661] Plan presentation and feedback

[1662] The generated travel plan is presented to the user via a smartphone application. It is also displayed in real time on display devices in physical stores, where travel agency staff can work with the user to confirm and modify the plan. User feedback is sent back to the server, and the travel plan is revised as necessary.

[1663] Specific examples

[1664] For example, a user enters the following information:

[1665] Interests: Nature, history

[1666] Budget: 200,000 yen

[1667] Dates: November 1, 2023 to November 7, 2023

[1668] Special Request: Pets Allowed

[1669] The smartphone collects this information and sends it to a server. The server analyzes the input information and searches a database for relevant tourist spots and activities. Examples include visiting a shrine in Kyoto, a hot spring trip to Hakone, or a stroll along the Shonan coast. The generated itinerary is displayed in real time on a display device in the physical store, where the customer and staff can work together to make any necessary revisions or final adjustments.

[1670] Prompt Sentence Examples

[1671] I'd like to customize my next trip. Please suggest the best plan based on the information below.

[1672] Interests: Nature, History

[1673] Budget: 200,000 yen

[1674] Dates: November 1, 2023 to November 7, 2023

[1675] Special Request: Pets Allowed

[1676] In this way, a concrete embodiment for carrying out the invention is provided, which enables a user to quickly and efficiently generate and adjust a customized travel plan according to their requirements.

[1677] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1678] Step 1:

[1679] The user inputs information about their trip. Using their smartphone, the user inputs travel preferences, budget, travel dates, special requests, etc. The input information is prepared as data in JSON format.

[1680] input:

[1681] Information about your travel preferences, budget, travel dates, and special requests

[1682] output:

[1683] Trip request data in JSON format

[1684] Specific behavior:

[1685] Enter information into each field on the smartphone interface

[1686] Simple check to see if the entered information is correct

[1687] Save input information as JSON format data

[1688] Step 2:

[1689] The device sends the collected user information to the server. The device sends the generated JSON data to the server via an HTTP request. The server receives this data.

[1690] input:

[1691] Trip request data in JSON format

[1692] output:

[1693] Received data for acknowledgment and preparation for analysis

[1694] Specific behavior:

[1695] Generate and send an HTTP request

[1696] Receiving a request on the server side

[1697] Retaining received data for analysis

[1698] Step 3:

[1699] The server analyzes the received data. The server analyzes the input information and extracts keywords and conditions. The results of this analysis are used in the next search step.

[1700] input:

[1701] Received data

[1702] output:

[1703] Analysis results (keywords, conditions)

[1704] Specific behavior:

[1705] Received data is processed by an analysis program

[1706] Extract keywords based on user preferences, budget, dates, and special requests

[1707] Save the extracted keywords in a data structure for use in the next search step

[1708] Step 4:

[1709] The database is searched for tourist attractions and accommodations that match the user's preferences. This search is based on the analysis results. The server selects tourist attractions and activities that fit within the user's budget.

[1710] input:

[1711] Analysis results (keywords, conditions)

[1712] output:

[1713] Database search results (candidate list)

[1714] Specific behavior:

[1715] Generate and execute database queries

[1716] Filtering tourist attractions and accommodations obtained as query results

[1717] Save the filtering results in list format

[1718] Step 5:

[1719] The server generates a specific travel plan based on the database search results, selects sightseeing spots and activities that can be visited within the budget, and creates a schedule based on the travel dates.

[1720] input:

[1721] Search results (candidate list)

[1722] output:

[1723] Generated itinerary

[1724] Specific behavior:

[1725] Select sightseeing spots and activities from a list that fit your budget

[1726] Generate a schedule based on the user's schedule

[1727] Format the generated schedule as a travel plan

[1728] Step 6:

[1729] The generated travel plan is presented to the user and feedback is collected. The device presents the travel plan to the user and displays it in real time. Feedback from the user is sent to the server, and the plan is adjusted again.

[1730] input:

[1731] Generated itinerary

[1732] output:

[1733] User Feedback

[1734] Specific behavior:

[1735] Displaying travel plans on a display device

[1736] Users can review plans and enter corrections or additions.

[1737] Send feedback information to the server

[1738] Servers rebalance based on feedback

[1739] Through each of these steps, users can efficiently generate and adjust travel plans based on their preferences and requirements in real time, and the system can collaborate with brick-and-mortar travel agency staff to optimize travel plans.

[1740] 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.

[1741] The present invention is a system that generates customized travel plans based on a user's preferences, budget, travel schedule, and special requests, and further combines it with an emotion engine that recognizes the user's emotions to improve user satisfaction. Below is an explanation of the program of this system and its natural language processing.

[1742] Collecting and submitting user input

[1743] User:

[1744] The user uses the device to input information about the trip, such as preferences (e.g., nature, history), budget, travel dates, and special requests (e.g., bringing pets, accessibility).

[1745] Device:

[1746] The terminal collects information entered by the user, checks the input data for errors, and if there are no problems, sends the collected information to the server.

[1747] Analyzing input data

[1748] server:

[1749] The server receives the user's input information sent from the device and analyzes it to extract specific keywords and conditions related to the user's preferences, budget, travel schedule, and special requests. The analysis results are used as input data for the next processing step.

[1750] Emotion recognition by emotion engine

[1751] server:

[1752] The server uses an emotion engine to analyze the user's facial expressions, voice, and input behavior to identify their emotional state, which is then taken into account along with the input information provided by the user to tailor the itinerary to maximize the user's satisfaction.

[1753] Generate a travel plan

[1754] server:

[1755] Based on the analysis results and the user's emotional state, the server searches its internal database for tourist attractions, accommodations, and dining locations that match the user's preferences. It then obtains information on relevant locations and activities and generates a travel plan based on that information. The plan includes adjustments that reflect the user's budget, itinerary, special requests, and emotions.

[1756] Gathering suggestions and feedback

[1757] Device:

[1758] The device presents the user with the travel plan sent from the server, displayed in an easy-to-read format, with detailed activity and budget information for each day.

[1759] User:

[1760] The user reviews the proposed itinerary and provides feedback. The emotion engine analyzes the user's facial expressions, voice, and input behavior to evaluate their emotional state in real time, allowing for more accurate feedback.

[1761] server:

[1762] The server receives feedback and real-time emotional state from the user and adjusts the travel plan accordingly, which is then sent back to the user to improve user satisfaction.

[1763] Specific examples

[1764] For example, if a user enters the following information:

[1765] Interests: Nature, History

[1766] Budget: 200,000 yen

[1767] Dates: November 1, 2023 to November 7, 2023

[1768] Special Request: Pets Allowed

[1769] In this case, the device collects this information and sends it to a server. The server analyzes the input information and evaluates the user's emotional state using an emotion engine. It then searches a database for relevant tourist spots and activities and generates a travel plan that includes, for example, a shrine visit in Kyoto, a hot spring trip in Hakone, or a stroll along the Shonan coast.

[1770] The generated plan is presented to the user via their device. The user reviews the plan and confirms it if satisfied, or provides feedback if any changes are needed. Based on the feedback information and real-time emotion analysis data from the emotion engine, the server adjusts the travel plan and presents it to the user again.

[1771] The present invention makes it possible to quickly and accurately provide a travel plan that takes into account the individual needs and emotional state of the user, dramatically simplifying travel planning for users and improving satisfaction.

[1772] The processing flow will be explained below.

[1773] MODE FOR CARRYING OUT THE INVENTION

[1774] This invention is a system that generates customized travel plans based on a user's preferences, budget, travel schedule, and special requests, and further combines it with an emotion engine that recognizes the user's emotions to improve user satisfaction. The program of this system and its processing flow in natural language are shown below.

[1775] Step 1:

[1776] User:

[1777] The user uses the device to input information about the trip, including preferences (e.g., nature, history), budget, travel dates, and special requests (e.g., bringing pets, accessibility).

[1778] Step 2:

[1779] Device:

[1780] The terminal collects the information entered by the user, corrects the format of the input data, checks for errors, and after confirming that the information has been entered correctly, sends the collected information as is to the server.

[1781] Step 3:

[1782] server:

[1783] The server receives the user's input information sent from the device, analyzes the received data, and extracts specific keywords and conditions related to the user's preferences, budget, travel schedule, and special requests. The analysis results are used as input data for the next processing step.

[1784] Step 4:

[1785] server:

[1786] The server uses an emotion engine to continuously receive the user's facial expressions, voice, and input behavior from the device to identify their emotional state, which is then taken into account along with the user's input information to adjust the travel plan to maximize the user's satisfaction.

[1787] Step 5:

[1788] server:

[1789] Based on the analysis results and the user's emotional state, the server searches its internal database for tourist attractions, accommodations, and dining options that match the user's preferences, obtains information on relevant places and activities, and lists them.

[1790] Step 6:

[1791] server:

[1792] From the list of options, the system selects tourist spots and activities that fit within the user's budget. It then creates a schedule for each day based on the date. It generates an itinerary that includes detailed information about the selected tourist spots and activities (e.g., location, budget, and activity content). Again, it adjusts to reflect the user's emotional state.

[1793] Step 7:

[1794] server:

[1795] The generated itinerary is then organized and prepared for sending to the user, including details of activities, transportation, and accommodation for each day, and making adjustments based on special requests, if necessary.

[1796] Step 8:

[1797] Device:

[1798] The device presents the travel plan received from the server to the user in an easy-to-read format, including detailed activity and budget information for each day.

[1799] Step 9:

[1800] User:

[1801] The user reviews the proposed itinerary and, if satisfied, confirms it, or provides feedback if changes are needed. This feedback includes input via the device, suggestions for improvement, and requests for additions.

[1802] Step 10:

[1803] Device:

[1804] While the user is checking their travel plans, the device uses an emotion engine to analyze their facial expressions, voice, and input behavior to assess their emotional state in real time, and this emotional data is also sent to the server as feedback.

[1805] Step 11:

[1806] server:

[1807] The server receives feedback and real-time sentiment data from the user, adjusts the travel plan based on this, and presents the adjusted plan to the user again.

[1808] In this way, the system of the present invention can quickly and accurately provide a travel plan that takes into account the user's individual needs and emotional state, dramatically simplifying the user's travel planning process and improving satisfaction.

[1809] Example 2

[1810] 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."

[1811] Conventional travel plan generation systems provide customized plans based on the user's preferences, budget, travel schedule, and special requests, but lack the ability to adjust the travel plan taking into account the user's emotional state. As a result, the generated plans often do not satisfy the user, and a means to further improve user satisfaction is needed.

[1812] 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.

[1813] In this invention, the server includes means for analyzing input information and searching a database for interesting destinations, accommodations, and places to eat based on the user's preferences, means for analyzing the user's emotions using an emotion engine and identifying the user's emotional state, and means for generating a travel plan that corresponds to the user's budget, schedule, and special requests based on the analysis result and the user's emotional state, thereby enabling the provision of a customized travel plan that takes the user's emotional state into consideration.

[1814] "User" means a user who uses this system to provide information for generating a travel plan.

[1815] "Input Information" means information provided by a User regarding preferences, budget, travel itinerary, and special requests.

[1816] The "server" is a computer system that analyzes input information and generates and manages travel plans based on the user's preferences and emotional state.

[1817] A "terminal" is a device (e.g., smartphone, PC, tablet) through which a user enters information and sends it to a server.

[1818] An "emotion engine" is software or algorithms that analyze and identify a user's emotional state in real time based on their facial expressions, voice, and input behavior.

[1819] A "database" is a storage device that stores information on tourist spots, accommodations, places to eat, and other information required to generate a travel plan.

[1820] "Keywords" are specific words and phrases that describe a user's preferences, budget, travel dates, or special requirements.

[1821] "Real-time emotional data" refers to data obtained by analyzing the user's emotional state moment by moment.

[1822] A "trip plan" is a detailed guide to destinations, accommodations, activities, etc., generated based on the user's preferences, budget, dates, and special requests.

[1823] "Feedback" means any opinions, ratings, or requests for modifications regarding a travel plan provided by a User.

[1824] This invention is a system that generates a customized travel plan based on a user's preferences, budget, travel schedule, and special requests, and further improves user satisfaction by combining it with an emotion engine that recognizes the user's emotions. The system operates by starting with the user providing input information through a terminal, then the server analyzes the information and uses the emotion engine to generate a travel plan and provide it to the user.

[1825] Collecting User Input

[1826] User:

[1827] The user uses the device to input information about the trip, including preferences (e.g., nature, history), budget, travel dates, and special requests (e.g., bringing pets, accessibility).

[1828] Device:

[1829] The terminal collects the information entered by the user and checks the input data for errors, for example, whether the budget is a negative value or whether the dates are within a valid range. If there are no problems, the terminal sends the collected information to the server.

[1830] Analyzing input data

[1831] server:

[1832] The server receives the user's input information sent from the device, analyzes the received data, and extracts specific keywords and conditions related to the user's preferences, budget, travel schedule, and special requests. For example, the keyword "nature" extracts information about hiking and parks.

[1833] Emotion recognition by emotion engine

[1834] server:

[1835] The server activates the emotion engine and analyzes the user's facial expressions, voice, and input behavior using video and audio data transmitted from the device. For example, if the user smiles while typing, it will recognize this as a positive emotion. The results of this emotion analysis are taken into account along with the input information provided by the user and passed on to the next processing step.

[1836] Generate a travel plan

[1837] server:

[1838] The server searches its internal database based on the analysis results (user preferences, budget, travel schedule, special requests) and emotional state, and lists relevant tourist spots, accommodations, places to eat, etc. For example, search results may include shrines in Kyoto, hot springs in Hakone, and the Shonan coast. Based on this data, a detailed travel plan is automatically generated. This plan includes adjustments that reflect the budget, schedule, special requests, and user emotions.

[1839] Suggestions and feedback gathering

[1840] Device:

[1841] The device presents the travel plan sent from the server to the user in a user-friendly format, including detailed activity and budget information for each day. For example, it might say "Date: November 1st, Location: Kyoto, Activity: Shrine visit."

[1842] User:

[1843] Users can review the displayed itinerary and provide feedback if they dislike any part of it. The emotion engine also analyzes the user's facial expressions, voice, and input behavior in real time. Real-time data provides a more accurate emotional assessment and is reflected in the user's feedback.

[1844] Re-arrange your travel plans

[1845] server:

[1846] The server receives the user's feedback and real-time emotional state and adjusts the itinerary accordingly. For example, if the user feedbacks that they are not interested in visiting shrines, they can add a visit to a museum instead. This adjusted itinerary is then sent back to the user and optimized to maximize user satisfaction.

[1847] Specific examples

[1848] For example, if a user enters the following information:

[1849] Interests: Nature, History

[1850] Budget: 200,000 yen

[1851] Dates: November 1, 2023 to November 7, 2023

[1852] Special Request: Pets Allowed

[1853] The device collects this information and sends it to the server. The server analyzes the input information and evaluates the user's emotional state using an emotion engine. The server searches its database for relevant tourist attractions and activities and generates a travel plan that includes, for example, a shrine visit in Kyoto, a hot spring trip in Hakone, and a coastal stroll in Shonan. The generated plan is presented to the user via the device. The user reviews the plan and provides feedback if they are dissatisfied. The server then adjusts the plan and presents it to the user. In this way, the user can ultimately obtain a travel plan that best suits their needs and emotional state.

[1854] Prompt Sentence Examples

[1855] "If a user selects 'nature' and 'history' as their preferences, a budget of 200,000 yen, dates from November 1, 2023 to November 7, 2023, and a special request that they bring a pet, generate an appropriate travel itinerary. Additionally, adjust the itinerary to take into account the user's emotional state."

[1856] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1857] Step 1: Collecting User Input

[1858] User: The user uses the device to input information about the trip, such as preferences (e.g., nature, history), budget, travel dates, and special requests (e.g., bringing pets, accessibility), etc. This input information becomes the basis for subsequent processing.

[1859] Input: User preferences, budget, travel dates, special requests

[1860] Output: User input information collected on the device

[1861] Step 2: Collecting and sending input information

[1862] Terminal: The terminal collects the information entered by the user and checks the input data for errors, for example, checking that the budget is not a negative value or that the dates are within a valid range. If there are no problems, the terminal sends this information to the server.

[1863] Input: User input information

[1864] Output: Validated input sent to the server

[1865] Step 3: Analyze the input data

[1866] Server: The server receives and analyzes the user's input information sent from the device. The analysis extracts specific keywords and conditions based on the user's preferences, budget, travel schedule, and special requests. For example, the keyword "nature" extracts information about hiking and parks. This clarifies the user's preferences.

[1867] Input: Validated user-entered information

[1868] Output: Parsed keywords and conditions

[1869] Step 4: Emotion Recognition with the Emotion Engine

[1870] Server: The server runs the emotion engine and analyzes the user's facial expressions, voice, and input behavior using video and audio data sent from the device. For example, if the user smiles while typing, it recognizes this as a positive emotion. The results of this emotion analysis are used in the next processing step.

[1871] Input: User's video and audio data

[1872] Output: Emotional state analysis result

[1873] Step 5: Generate your travel plan

[1874] Server: The server searches its internal database based on the analysis results (user preferences, budget, travel schedule, special requests) and emotional state. From the search results, it lists tourist spots, accommodations, and places to eat that match the user's preferences and generates a detailed travel plan. For example, it selects shrines in Kyoto, hot springs in Hakone, and the Shonan coast.

[1875] Input: Analysis results, emotional state, internal database

[1876] Output: Generated itinerary

[1877] Step 6: Present the generated itinerary

[1878] Device: The device presents the travel plan sent from the server to the user. It is displayed in a user-friendly format, including detailed activity and budget information for each day. For example, it might say "Date: November 1st, Location: Kyoto, Activity: Shrine visit."

[1879] Input: Generated itinerary

[1880] Output: A travel plan presented to the user

[1881] Step 7: Gather user feedback

[1882] User: The user reviews the proposed itinerary and provides feedback on any aspects they dislike. The emotion engine also analyzes the user's facial expressions, voice, and input behavior in real time. Real-time data provides a more accurate emotional assessment and is reflected in the user's feedback.

[1883] Input: proposed travel plan

[1884] Output: User feedback, real-time sentiment data

[1885] Step 8: Rearrange your travel plans

[1886] Server: The server receives the user's feedback and real-time emotional state, and adjusts the itinerary accordingly. For example, if the user gives feedback that they are not interested in visiting shrines, they can add a visit to a museum instead. This adjusted itinerary is then sent back to the user.

[1887] Input: User feedback, real-time sentiment data

[1888] Output: Re-arranged itinerary

[1889] (Application example 2)

[1890] 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."

[1891] Conventional food delivery systems have the problem of not taking into account the individual preferences and emotional state of users, making it difficult to increase user satisfaction. Furthermore, they lack a mechanism for efficiently reflecting real-time user feedback, meaning the services provided are not always optimized. There was a need to solve these problems and improve the user experience.

[1892] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1893] In this invention, the server includes: means for a user to provide input information such as preferences, budget, dietary preferences, and special requests; means for analyzing the input information and searching a database for cuisines, restaurants, and food delivery services of interest based on the user's preferences; means for selecting meals and delivery services that fit within the user's budget from the searched candidates and generating a meal plan based on the user's emotional state; means for presenting the generated meal plan to the user and collecting feedback; and means for analyzing real-time emotional data including the feedback and readjusting the meal plan. This makes it possible to provide a customized meal plan that takes into account the user's individual preferences and emotional state, thereby improving user satisfaction.

[1894] "User" means an individual or legal entity that uses the System and provides input information.

[1895] "Preferences" are the preferences a user has for a particular meal, restaurant, or food delivery service.

[1896] A "budget" is the range of amounts a user is willing to spend on meals and food delivery services.

[1897] "Dietary preferences" are information that indicates a user's preference for a particular cuisine or food category.

[1898] "Special needs" are factors such as allergies, dietary restrictions, or religious restrictions that require the user to pay particular attention to when making dietary choices.

[1899] "Input Information" is data such as preferences, budget, dietary preferences, special requests, etc., that a user provides to the system.

[1900] "Analysis" refers to the process by which the server identifies the user's individual needs and preferences based on the input information.

[1901] "Emotional state" refers to the user's psychological and emotional state, determined based on the user's facial expressions and voice data.

[1902] A "meal plan" is a meal suggestion for a user that is generated based on the analysis results and emotional state.

[1903] A "database" is a digital collection that stores information on cuisines, restaurants, food delivery services, etc. that fit a user's tastes and budget.

[1904] "Search" is the act of finding candidates from a database that match the user's requirements.

[1905] "Feedback" means the ratings and opinions provided by a user regarding a proposed meal plan.

[1906] "Recalibration" is the process of modifying and optimizing your meal plan based on collected feedback and real-time emotional data.

[1907] The present invention is a system for generating a customized meal plan that takes into account a user's preferences, budget, dietary preferences, special needs, and emotional state to improve user satisfaction. The system is realized by the following hardware and software:

[1908] Collecting User Input

[1909] User:

[1910] Using their smartphones, users input information such as their preferences, budget, dietary preferences and special requests, and also provide facial images and voice data to identify their emotional state.

[1911] Analyzing input data

[1912] server:

[1913] The server receives the input information sent by the user and analyzes it. An analysis engine is used to identify the user's preferences, budget, dietary preferences, and special requests. This analysis extracts specific keywords and conditions.

[1914] Emotion recognition by emotion engine

[1915] server:

[1916] The server uses an emotion engine to determine the user's emotional state based on facial image and voice data. The emotion engine uses a supervised learning model. The emotional state is taken into account along with input information provided by the user and used to optimize the meal plan.

[1917] Generate a meal plan

[1918] server:

[1919] The server searches its internal database for cuisines, restaurants, and food delivery services that match the user's preferences based on the analysis results and emotional state. Using this information, it generates a meal plan that fits within the user's budget and reflects the user's emotions and special requests.

[1920] Gathering suggestions and feedback

[1921] Device:

[1922] The device presents the meal plan sent from the server to the user, displayed in an easy-to-read format and including detailed meal plans and budget information for each day.

[1923] User:

[1924] The user reviews the presented meal plan and provides feedback, including their rating and opinion. The user's facial expressions and voice are also analyzed in real time and sent to the server as emotional data.

[1925] server:

[1926] The server receives feedback and real-time emotional data from users and adjusts the meal plan accordingly, which is then sent back to the user to improve user satisfaction.

[1927] Hardware and software used

[1928] Smartphones: Collecting user input and emotional data.

[1929] Flask (Python web framework): Receives, analyzes, and responds to data as a server.

[1930] emotion_recognition module: Used for analyzing user emotions (supervised learning model).

[1931] Database (e.g. PostgreSQL): Storage for user input data and historical feedback data.

[1932] Analysis engine: Analyzes user input information and extracts specific keywords and conditions.

[1933] Specific examples

[1934] For example, if a user enters the following information:

[1935] Preferences: Italian, Japanese cuisine

[1936] Budget: 3,000 yen

[1937] Special Request: Gluten Free

[1938] If the user's emotion is recognized as "happy," the meal plan will include "Italian" (e.g., pasta, pizza), which will allow the system to provide the optimal meal plan for the user and improve satisfaction.

[1939] Prompt Sentence Examples

[1940] "Tell us about a system that generates optimal meal plans based on a user's dietary preferences, budget, special requests, and facial expression data. How does it suggest menus that fit dietary preferences and budget, and how does it use user feedback and emotional data to refine the plan?"

[1941] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1942] Step 1:

[1943] Using a smartphone, a user inputs information such as preferences (e.g., Italian, Japanese cuisine), budget, and special requests (e.g., gluten-free). They also provide their own facial image and voice data. This input information is collected by a smartphone application and converted into a data format. The collected data is sent to a server over a network. The inputs include the user's food preferences, budget, special requests, facial image, and voice data. The output is sending the data to the server.

[1944] Step 2:

[1945] The server receives input information submitted by the user. The received information is passed to the analytics engine, which extracts specific keywords and conditions based on the user's preferences, budget, dietary preferences, and special requests. This process provides data to understand the user's individual needs. The inputs include user-provided preferences, budget, and special request data. The output includes the extracted keywords and conditions.

[1946] Step 3:

[1947] The server uses an emotion engine to analyze the user's facial image and voice data to identify the user's emotional state. The emotion engine uses a supervised learning model to identify the user's psychological and emotional state. This recognition result is used to optimize the meal plan in the next step. The inputs are facial image and voice data. The output is the user's emotional state.

[1948] Step 4:

[1949] The server searches its internal database for cuisines, restaurants, and food delivery services that match the user's preferences based on the analysis results and emotional state. It filters the relevant items to generate a meal plan that fits within the user's budget. This process results in a candidate meal plan that is optimal for the user. The inputs are the analysis results and emotional state. The output is a candidate meal plan.

[1950] Step 5:

[1951] The device presents the meal plan sent from the server to the user. The plan includes detailed daily meal plans and budget information, and is presented in a format that is easy for the user to understand. The input is the meal plan from the server. The output is the display of the plan to the user.

[1952] Step 6:

[1953] The user reviews the presented meal plan and provides feedback. The feedback includes ratings and opinions on the meal plan. The user's facial expressions and voice are also analyzed in real time and sent to the server as emotional data. The input is the presented meal plan. The output is feedback and emotional data.

[1954] Step 7:

[1955] The server receives feedback and real-time emotional data from the user. Based on this data, it readjusts the meal plan. The readjusted plan is sent back to the user with the goal of improving user satisfaction. The inputs are the feedback and emotional data. The output is the readjusted meal plan.

[1956] 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.

[1957] 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.

[1958] 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.

[1959] 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.

[1960] 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.

[1961] 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.

[1962] 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).

[1963] 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.

[1964] 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."

[1965] 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.

[1966] 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).

[1967] 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.

[1968] 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.

[1969] 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.

[1970] 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.

[1971] 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.

[1972] 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.

[1973] 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.

[1974] 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.

[1975] 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.

[1976] 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.

[1977] The following is further disclosed regarding the above embodiment.

[1978] (Claim 1)

[1979] a means for users to provide input information such as preferences, budget, travel dates, and special requests;

[1980] A means for analyzing the input information and searching a database for tourist spots, accommodations, and places to eat that are of interest to the user based on the user's preferences;

[1981] A means to select tourist spots and activities that can be done within budget from the searched candidates and generate a travel plan based on the dates;

[1982] The system includes means for presenting the generated itinerary to the user and collecting feedback.

[1983] (Claim 2)

[1984] 2. The system according to claim 1, wherein the means for analyzing the input information extracts specific keywords for each of the user's preferences, budget, travel schedule, and special requests.

[1985] (Claim 3)

[1986] The system according to claim 1, characterized in that the database search means lists tourist spots and facilities that fall within the user's budget and filters the information based on the analysis results.

[1987] "Example 1"

[1988] (Claim 1)

[1989] a means for users to provide input information such as preferences, budget, travel dates, and special requests;

[1990] A means for checking the input information in real time to check for formatting errors and missing required fields;

[1991] A means for analyzing the input information and searching a database for tourist spots, accommodations, and places to eat that are of interest to the user based on the user's preferences;

[1992] A means to select tourist spots and activities that can be done within budget from the searched candidates and generate a travel plan based on the dates;

[1993] The system includes means for presenting the generated itinerary to the user and collecting feedback.

[1994] (Claim 2)

[1995] 2. The system according to claim 1, wherein said input information analyzing means extracts specific keywords and conditions for each of the user's preferences, budget, travel schedule, and special requests.

[1996] (Claim 3)

[1997] The system according to claim 1, characterized in that the database search means lists tourist spots and facilities that fall within the user's budget and filters the information based on the analysis results.

[1998] "Application Example 1"

[1999] (Claim 1)

[2000] a means for users to provide input information such as preferences, budget, travel dates, and special requests;

[2001] A means for analyzing the input information and searching a database for tourist spots, accommodations, and places to eat that are of interest to the user based on the user's preferences;

[2002] A means to select tourist spots and activities that can be done within budget from the searched candidates and generate a travel plan based on the dates;

[2003] a means for presenting the generated itinerary to the user and collecting feedback;

[2004] A means for displaying the generated travel plan in real time at a physical store and for users and staff to cooperate in checking and modifying it;

[2005] A system including:

[2006] (Claim 2)

[2007] 2. The system according to claim 1, wherein the means for analyzing the input information extracts specific keywords for each of the user's preferences, budget, travel schedule, and special requests.

[2008] (Claim 3)

[2009] The system according to claim 1, characterized in that the database search means lists tourist spots and facilities that fall within the user's budget and filters the information based on the analysis results.

[2010] "Example 2: Combining Emotion Engines"

[2011] (Claim 1)

[2012] a means for users to provide input information such as preferences, budget, travel dates, and special requests;

[2013] means for collecting the input information, checking for errors, and transmitting the information to a server;

[2014] means for analyzing the input information and searching a database for interesting destinations, accommodations, and places to eat based on the user's preferences;

[2015] a means for analyzing a user's emotions using an emotion engine to identify an emotional state;

[2016] means for generating a travel plan based on the analysis results and emotional state, which corresponds to the budget, itinerary and special requests;

[2017] means for presenting the generated itinerary to a user and collecting feedback and real-time sentiment data from the user;

[2018] The system includes a means to readjust the itinerary based on feedback and real-time sentiment data and present it to the user again.

[2019] (Claim 2)

[2020] 2. The system according to claim 1, wherein the means for analyzing the input information extracts specific keywords for each of the user's preferences, budget, travel schedule, and special requests.

[2021] (Claim 3)

[2022] 2. The system according to claim 1, wherein the means for analyzing using the emotion engine evaluates the user's emotional state in real time from their facial expressions, voice, and input actions.

[2023] "Application example 2 when combining emotion engines"

[2024] (Claim 1)

[2025] a means for users to provide input information such as preferences, budget, dietary preferences, and special requests;

[2026] means for analyzing the input information and searching a database for cuisines, restaurants, and food delivery services of interest based on the user's preferences;

[2027] A means for selecting meals and delivery services that fit within the user's budget from the searched candidates and generating a meal plan based on the user's emotional state;

[2028] a means for presenting the generated meal plan to the user and collecting feedback;

[2029] The system includes means for analyzing real-time emotional data including said feedback and readjusting the meal plan.

[2030] (Claim 2)

[2031] 2. The system according to claim 1, wherein the means for analyzing the input information extracts specific keywords for each of the user's preferences, budget, dietary preferences, and special requests.

[2032] (Claim 3)

[2033] The system according to claim 1, characterized in that the database search means lists restaurants and food delivery services that fit within the user's budget and filters the information based on the analysis results. [Explanation of symbols]

[2034] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. a means for users to provide input information such as preferences, budget, travel dates, and special requests; A means for analyzing the input information and searching a database for tourist spots, accommodations, and places to eat that are of interest to the user based on the user's preferences; A means to select tourist spots and activities that can be done within budget from the searched candidates and generate a travel plan based on the dates; The system includes means for presenting the generated itinerary to the user and collecting feedback.

2. 2. The system according to claim 1, wherein said input information analyzing means extracts specific keywords for each of the user's preferences, budget, travel schedule, and special requests.

3. 2. The system according to claim 1, wherein said database search means lists tourist spots and facilities that fall within the user's budget and filters the information based on the analysis results.

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