System

Abstract

A system is provided.SOLUTION: A system comprising: means for collecting survey information related to a travel from a user; means for analyzing the survey information and generating an optimal travel plan; means for generating a short movie that provides a visual image based on the travel plan; and means for transmitting the travel plan and the short movie to a user terminal.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] When planning a trip, the amount of information involved can be overwhelming, making it difficult to decide where to go and what to do. This is especially true when traveling with multiple people, as it can be difficult to balance each person's opinions and preferences, making it difficult to create a plan that satisfies everyone. Furthermore, there is a lack of systems that can quickly provide appropriate plans when sudden changes in plans occur during a trip. This invention aims to solve these problems and make trip planning and execution more efficient. [Means for solving the problem]

[0005] The present invention is a system that includes a means for collecting travel-related questionnaire information from users, a means for analyzing the questionnaire information to generate an optimal travel plan, a means for generating a short movie that provides a visual image based on the travel plan, and a means for transmitting the travel plan and short movie to a user terminal (Claim 1). Furthermore, the questionnaire information includes information on the purpose of the trip, budget, preferences, dietary restrictions, type of accommodation, and mode of transportation (Claim 2). In the case of multiple users, the system also includes a means for collecting the questionnaire information of each user and generating a travel plan that takes into account commonalities and priorities (Claim 3). The system also includes a means for generating and transmitting a new travel plan in real time if a sudden change in plans occurs during the trip (Claim 4). Furthermore, the system includes a means for collecting user feedback on the travel plan and short movie and generating a readjusted travel plan and short movie (Claim 5). These means enable the system to provide specific and visually optimized travel plans to individual and multiple users.

[0006] "Survey information" refers to information that users input into their device to plan their trip, including the purpose of the trip, budget, preferences, dietary restrictions, type of accommodation, and means of transportation.

[0007] "Analysis" refers to data processing to understand users' needs based on collected survey information and generate optimal travel plans.

[0008] A "travel plan" is a plan that shows the specific itinerary of the places to visit, activities to do, accommodations, restaurants, etc. when a user travels.

[0009] A "short movie" is a short video created to visually communicate the generated travel plan to users, and includes images that make it easier to visualize the elements of the plan.

[0010] "User terminal" refers to the device on which a user enters survey information and receives and views the generated travel plan and short movie.

[0011] "Real-time" is a time concept that allows a new travel plan to be generated and provided immediately when a sudden change in plans occurs during travel.

[0012] "Feedback" is information entered by users to provide their opinions on the proposed travel plans and short movies and to request corrections or improvements. [Brief explanation of the drawings]

[0013] [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

[0014] 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.

[0015] First, the terms used in the following description will be explained.

[0016] 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).

[0017] 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.

[0018] 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.

[0019] 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.

[0020] 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."

[0021] [First embodiment]

[0022] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0023] 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.

[0024] 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).

[0025] 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.

[0026] 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.

[0027] 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.

[0028] 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.

[0029] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0030] 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.

[0031] 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.

[0032] 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.

[0033] 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."

[0034] The present invention relates to a system for proposing travel plans optimized for individual travel needs. The system is composed of a user terminal, a server, and a network for exchanging information between them.

[0035] 1. Collection of survey information

[0036] The device displays a questionnaire screen where the user can enter the necessary information for their trip planning. The questionnaire includes questions about the purpose of the trip, budget, preferences, dietary restrictions, type of accommodation, mode of transportation, etc. The user answers each question and enters the information into the device.

[0037] 2. Sending survey data

[0038] The terminal packetizes the questionnaire data entered by the user and transmits it to the server via the network.

[0039] 3. Analysis of survey data and plan generation

[0040] The server inputs the received survey data into an AI model and analyzes the data to generate the optimal travel plan for the user. The analysis process involves understanding the survey information and selecting travel destinations, activities, accommodations, restaurants, etc.

[0041] 4. Creating a short movie

[0042] The server then generates a short movie based on the generated travel plan to help users visualize the plan. This short movie includes footage of tourist spots, accommodations, restaurants, and other attractions in the selected travel destination.

[0043] 5. Submit your plan and short movie

[0044] The server sends the generated travel plan and short movie to the user's terminal, which displays the received plan and short movie to the user.

[0045] Example 1: Single user

[0046] 1. Survey Information Collection:

[0047] The user enters information such as "Purpose of trip: sightseeing," "Budget: 100,000 yen," "Preferences: nature," "Dietary restrictions: none," "Type of accommodation: resort hotel," and "Method of transportation: train" into the device.

[0048] 2. Sending survey data:

[0049] The terminal sends input data.

[0050] 3. Plan Generation:

[0051] The server performs the analysis and generates a sightseeing plan for, for example, Hakone.

[0052] 4. Creating a short movie:

[0053] The server creates short movies about Hakone's tourist attractions, activities, and resort hotels.

[0054] 5. Submit your plan and short film:

[0055] The server sends it to the terminal and the user confirms it.

[0056] Example 2: Multiple users

[0057] 1. Survey Information Collection:

[0058] User A enters "Purpose of travel: Cultural experience", "Budget: 70,000 yen", "Preferences: History", "Dietary restrictions: Vegetarian", "Type of accommodation: Guesthouse", and "Means of transportation: Bus".

[0059] User B enters "Purpose of trip: relaxation", "Budget: 80,000 yen", "Preferences: nature", "Dietary restrictions: none", "Type of accommodation: resort hotel", and "Method of transportation: taxi".

[0060] 2. Sending survey data:

[0061] The device sends each user's data to the server.

[0062] 3. Plan Generation:

[0063] The server performs the analysis, takes into account commonalities, and generates a balanced travel plan for "Kyoto."

[0064] 4. Creating a short movie:

[0065] The server will create a short movie that includes Kyoto's historical spots, relaxing Arashiyama, vegetarian restaurants, resort hotels and guesthouses.

[0066] 5. Submit your plan and short film:

[0067] The server sends it to the terminal and each user confirms it.

[0068] 6. Real-time plan adjustments

[0069] If a user needs to make a sudden change to their travel plans, they can send a request for the change to the server via their device. The server then analyzes the request, generates a new travel plan in real time, and sends the new plan and a short video to the device.

[0070] This allows users to flexibly respond to changes during their trip and enjoy their trip without stress.

[0071] As described above, the present invention is a system that provides flexible and detailed plans according to the user's travel needs, and further promotes concrete images through visual short movies.

[0072] The processing flow will be explained below.

[0073] Step 1:

[0074] The device displays a questionnaire screen where users can enter information necessary for planning their trip, such as the purpose of their trip, budget, preferences, dietary restrictions, type of accommodation, and mode of transportation.

[0075] Step 2:

[0076] The user answers the questions displayed on the questionnaire screen and enters the information into the terminal.

[0077] Step 3:

[0078] The terminal packetizes the questionnaire data entered by the user and prepares it for transmission. After checking that there are no errors, the data is sent to the server.

[0079] Step 4:

[0080] The server receives the submitted survey data and begins the analysis process.

[0081] Step 5:

[0082] The server inputs the received survey data into the AI ​​model and performs data analysis, which includes selecting the user's destination, recommending activities, selecting accommodations, and recommending restaurants.

[0083] Step 6:

[0084] The server generates the optimal travel plan for the user based on the results of the above analysis.

[0085] Step 7:

[0086] The server generates a visual short movie based on the generated travel plan, which includes footage of selected tourist spots, accommodations, activities, restaurants, etc.

[0087] Step 8:

[0088] The server packetizes the generated travel plan and short movie and prepares it for transmission.

[0089] Step 9:

[0090] The server transmits the packetized data to the terminal.

[0091] Step 10:

[0092] The device displays the received travel plan and short movie to the user.

[0093] Step 11:

[0094] The user checks the displayed travel plan and short movie and enters any feedback they may need.

[0095] Step 12:

[0096] The terminal sends feedback of the user input to the server.

[0097] Step 13:

[0098] The server analyzes the received feedback and identifies realignment points.

[0099] Step 14:

[0100] The server generates a new travel plan that reflects the readjustment points and creates a new short movie.

[0101] Step 15:

[0102] The server transmits the generated new travel plan and short movie to the terminal.

[0103] Step 16:

[0104] The terminal displays the re-sent travel plan and short movie to the user, prompting them to confirm and make a final decision.

[0105] Step 17:

[0106] If a user has a sudden change in plans during a trip, the user sends a change request to the server via the terminal.

[0107] Step 18:

[0108] The server analyzes the received change request and generates a new travel plan in real time according to the situation.

[0109] Step 19:

[0110] The server transmits the generated new travel plan and short movie to the terminal.

[0111] Step 20:

[0112] The terminal displays the retransmitted new travel plan and short movie to the user for confirmation.

[0113] Example 1

[0114] 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."

[0115] Conventional travel plan suggestion systems have difficulty automatically generating optimal plans that meet the user's travel needs. Furthermore, they lack a mechanism for quickly responding to requests for changes in the travel plan, making it difficult to revise the plan in real time. As a result, users are unable to flexibly respond to changes in the situation during their trip, which can lead to an unsatisfactory travel experience. Furthermore, the lack of visual information makes it difficult for users to visualize the plan in concrete terms.

[0116] 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.

[0117] In this invention, the server includes means for collecting travel-related questionnaire information from users, means for packetizing the questionnaire information and transmitting it to the server via a network, means for analyzing the questionnaire information and generating an optimal travel plan using a processor and a generative AI model, means for generating a short movie that provides a visual image based on the travel plan, means for transmitting the travel plan and the short movie to a user terminal, and means for modifying the travel plan in real time based on changes requested by the user. This allows for automatic generation of a travel plan optimized to the user's needs, enabling flexible response, and allowing the user to visualize the plan concretely by providing visual information.

[0118] "Survey Information" refers to data entered by a user as information necessary for travel planning, including the purpose of the trip, budget, preferences, dietary restrictions, type of accommodation, and means of transportation.

[0119] "Packetization" is the process of converting information entered by a user into a specific data format (for example, JSON format) so that it can be sent over a network.

[0120] "Plan generation" is the process of analyzing collected survey information and using AI models and processors to create the optimal travel plan for the user.

[0121] "Short movie generation" is the process of creating a short video to provide a visual image based on the generated travel plan. The video includes information on travel destinations, accommodations, restaurants, etc.

[0122] "Real-time plan modification" is a process that immediately reflects changes to plans that occur during a trip in response to a change request from the user, and generates a new travel plan and short movie.

[0123] A "generative AI model" is an artificial intelligence algorithm used for data analysis and travel plan generation, proposing the optimal plan based on the survey information entered by the user.

[0124] The "network" is the infrastructure that connects user terminals to the server and sends and receives data such as survey information, generated plans, and short movies.

[0125] The present invention relates to a system that proposes travel plans optimized to a user's travel needs. The system is composed of a user terminal, a server, and a network that exchanges information between them.

[0126] Hardware and Software Configuration

[0127] The terminal is a device such as a computer or smartphone used by the user, and provides an application or browser interface for collecting survey information and sending it to the server.

[0128] The server is a high-performance computer system that analyzes survey information, generates travel plans, and creates short movies. The server also contains a database management system, generative AI models, and multimedia editing software (e.g., FFmpeg).

[0129] The network is an internet line that connects user terminals and servers.

[0130] System Operation

[0131] 1. Collection of survey information

[0132] The device displays a questionnaire screen where the user can enter the necessary information for their trip planning. The questionnaire includes questions about the purpose of the trip, budget, preferences, dietary restrictions, type of accommodation, mode of transportation, etc. The user answers each question and enters the information into the device.

[0133] 2. Sending survey data

[0134] The terminal converts the survey data entered by the user into packets in JSON format or similar and sends them to the server via the network. This operation uses an HTTP POST request.

[0135] 3. Analysis of survey data and plan generation

[0136] The server inputs the received survey data into a generative AI model, analyzes the data, and generates the optimal travel plan for the user. This analysis includes the process of understanding the survey information and selecting travel destinations, activities, accommodations, restaurants, etc.

[0137] 4. Creating a short movie

[0138] The server then generates a short movie based on the generated travel plan to help users visualize the plan. This short movie includes footage of the tourist spots, accommodations, restaurants, etc. of the selected travel destination. Video editing software such as FFmpeg and Adobe Premiere Pro is used to create the short movie.

[0139] 5. Submit your plan and short movie

[0140] The server sends the generated travel plan and short movie to the user's terminal, which displays the received plan and short movie to the user.

[0141] 6. Real-time plan adjustments

[0142] If a user's plans suddenly change during their trip, they can send a change request to the server via their device. The server analyzes the request, generates a new travel plan in real time, and sends the new plan and a short movie to the device. This allows users to flexibly respond to changes during their trip and enjoy a stress-free trip.

[0143] Specific examples

[0144] As a specific example, consider a case where a user enters information such as "Purpose of trip: sightseeing," "Budget: 100,000 yen," "Preferences: nature," "Dietary restrictions: none," "Type of accommodation: resort hotel," and "Means of transportation: train."

[0145] 1. Survey Information Collection:

[0146] The user enters information such as "Purpose of trip: sightseeing," "Budget: 100,000 yen," "Preferences: nature," "Dietary restrictions: none," "Type of accommodation: resort hotel," and "Method of transportation: train" into the device.

[0147] 2. Sending survey data:

[0148] The terminal transmits these input data to the server.

[0149] 3. Plan Generation:

[0150] The server analyzes the data and generates a sightseeing plan for, for example, Hakone.

[0151] 4. Creating a short movie:

[0152] The server creates short movies about Hakone's tourist attractions, activities, and resort hotels.

[0153] 5. Submit your plan and short film:

[0154] The server sends this to the terminal and the user confirms it.

[0155] Prompt Sentence Examples

[0156] Here is an example of a prompt that the user might enter:

[0157] "Purpose of trip: sightseeing"

[0158] "Budget: 100,000 yen"

[0159] "Preference: Nature"

[0160] "Dietary restrictions: None"

[0161] "Type of accommodation: Resort hotel"

[0162] "Transportation means: train"

[0163] As described above, the present invention is a system that provides flexible and detailed plans according to the user's travel needs, and further promotes concrete images through visual short movies.

[0164] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0165] Step 1: Collect survey information

[0166] The terminal displays a questionnaire screen for the user to enter travel-related information. This screen includes questions about the purpose of the trip, budget, preferences, dietary restrictions, type of accommodation, and mode of transportation. The user answers each question and enters the information into the terminal. The following prompt sentence is obtained as input data:

[0167] "Purpose of trip: sightseeing"

[0168] "Budget: 100,000 yen"

[0169] "Preference: Nature"

[0170] "Dietary restrictions: None"

[0171] "Type of accommodation: Resort hotel"

[0172] "Transportation means: train"

[0173] Specific actions

[0174] The device places the entered data into a form that is displayed in the browser or application. When the user has finished entering the information, they press a confirm button to confirm the data.

[0175] Step 2: Submit your survey data

[0176] The terminal converts the survey data entered by the user into packets in JSON format, etc., and then sends them to a server via the Internet. The input data is the user's survey information, and the output data is the packet sent to the server.

[0177] Specific actions

[0178] The device sends packetized data to the specified API endpoint using an HTTP POST request, and the server receives the request and responds with a status code of 200 (success).

[0179] Step 3: Receiving and analyzing survey data

[0180] The server receives data packets sent over the network, analyzes the received survey data, and uses a generative AI model to generate an optimal travel plan for the user. The input data is the survey information sent from the device, and the output data is the optimal travel plan that is the result of the analysis.

[0181] Specific actions

[0182] The server decodes the received survey data and inputs it into a generative AI model. The AI ​​model selects the optimal travel plan based on the user's preferences and conditions. For example, it would suggest a sightseeing plan for "Hakone" to a user who likes "nature."

[0183] Step 4: Generate a short movie

[0184] The server generates a short movie based on the generated travel plan to help users visualize the plan. This short movie includes footage of tourist spots, accommodations, restaurants, etc. in the selected travel destination. The input data is the generated travel plan, and the output data is the short movie.

[0185] Specific actions

[0186] The server collects videos and images of selected travel destinations and facilities from the database, and edits the collected media files using video editing software (e.g., FFmpeg) to create short movies of 1 to 3 minutes.

[0187] Step 5: Submit your plan and short movie

[0188] The server transmits the generated travel plan and short movie to the user terminal. The input data are the travel plan and short movie, and the output data are packets sent to the terminal.

[0189] Specific actions

[0190] The server compresses the travel plan and short movie into a ZIP file and sends it to the device using an HTTP request. The device unpacks the received packet and displays the plan and movie to the user in the application.

[0191] Step 6: Real-time plan adjustments

[0192] If a sudden change in plans occurs during a trip, the user sends a change request to the server via their device. The server analyzes the received change request, generates a new travel plan in real time, and sends the new plan and a short movie to the device. The input data is the change request, and the output data is the new travel plan and a short movie.

[0193] Specific actions

[0194] When the server receives the change request, it inputs the new conditions into the generative AI model and quickly generates a new plan, then quickly edits the short movie based on the new plan and sends it back to the device.

[0195] (Application example 1)

[0196] 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."

[0197] There is a need for a method to meet the diverse travel needs of users and provide optimal travel plans tailored to their individual requests. In particular, there is a lack of systems that can accommodate cases where users have different preferences and conditions, or when multiple people are traveling together. Another challenge is providing users with a visually concrete image that makes it easy to understand the travel plan and increases their satisfaction.

[0198] 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.

[0199] In this invention, the server includes means for collecting travel-related questionnaire information from users, means for analyzing the questionnaire information to generate an optimal travel plan, means for generating a short movie that provides a visual image based on the travel plan, means for transmitting the travel plan and the short movie to a user terminal, means for packetizing the questionnaire data entered by the user and transmitting the packetized data to the server via a network, and means for inputting the questionnaire data received by the server into a generative AI model, analyzing the data to generate a travel plan, and generating a short movie based on the plan. This makes it possible to provide an optimized travel plan for each user and provide specific suggestions using visual images.

[0200] "User" means a user who receives a travel plan proposal.

[0201] "Survey Information" refers to information entered by a user to plan a trip, such as travel purpose, budget, preferences, dietary restrictions, type of accommodation, and mode of transportation.

[0202] The "server" is a computer system that analyzes the received questionnaire data, generates a travel plan and a short movie, and sends them to the user.

[0203] A "travel plan" is a proposal for the most suitable trip for the user, generated based on the survey information.

[0204] A "short movie" is a short video that helps users visualize the generated travel plan.

[0205] "User terminal" refers to an electronic device on which a user inputs survey information and receives the generated travel plan and short movie.

[0206] "Network" means a digital communications system for communicating data between user terminals and a server.

[0207] A "generative AI model" is an artificial intelligence algorithm that analyzes survey information and generates optimal travel plans.

[0208] "Packetization" refers to the data processing that divides the survey data entered by the user into small data blocks and sends them to the server over the network.

[0209] This invention is a system that proposes travel plans optimized to the user's travel needs, and is composed of a user terminal, a server, and a network that exchanges information between them.

[0210] Users use a questionnaire screen to enter the information necessary for their travel plans. On this questionnaire screen, they enter information such as the purpose of the trip, budget, preferences, dietary restrictions, type of accommodation, and mode of transportation. The information collected through the questionnaire is packetized by the device and sent to a server over the network. The server inputs this information into a generative AI model for analysis. Based on the generated travel plan, the server automatically generates a short movie that allows users to visually visualize the plan. Finally, the travel plan and short movie are sent back over the network to the user's device and displayed to the user.

[0211] The details of the operation are as follows.

[0212] 1. Survey Information Collection:

[0213] The user device displays a questionnaire screen for the user to enter the information necessary for planning a trip. The questionnaire includes questions about the purpose of the trip, budget, preferences, dietary restrictions, type of accommodation, mode of transportation, etc. The user answers each question and enters the information into the device.

[0214] Examples:

[0215] Example prompt sentence:

[0216] Complete our travel planning survey.

[0217] 1. Enter the purpose of your trip: Sightseeing

[0218] 2. Enter your budget: 100,000 yen

[0219] 3. Enter your preference: Nature

[0220] 4. Enter your dietary restrictions: None

[0221] 5. Enter your accommodation type: Resort Hotel

[0222] 6. Please enter your mode of transportation: Train

[0223] 2. Sending survey data:

[0224] The user terminal packets the survey data entered by the user and sends it to the server over the network, using an HTTP library such as the requests library.

[0225] 3. Survey data analysis and plan generation:

[0226] The server inputs the received survey data into a generative AI model, analyzes the data, and generates the optimal travel plan for the user. This analysis includes the process of understanding the survey information and selecting travel destinations, activities, accommodations, restaurants, etc.

[0227] 4. Creating a short movie:

[0228] The server generates a short movie based on the generated travel plan to help users visualize the plan. This short movie includes footage of tourist attractions, accommodations, restaurants, etc. in the selected travel destinations using the moviepy.editor library.

[0229] 5. Submit your plan and short film:

[0230] The server transmits the generated travel plan and short movie to the user terminal, which displays the received plan and short movie to the user.

[0231] Furthermore, if a user's plans suddenly change during their trip, they can send a change request to the server via their device. In this case, the server analyzes the received change request, generates a new travel plan in real time, and sends the new plan and a short movie to the device. This allows users to flexibly respond to changes during their trip and enjoy a stress-free trip.

[0232] As described above, the present invention is a system that provides flexible and detailed plans according to the user's travel needs, and further promotes concrete images through visual short movies.

[0233] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0234] Step 1:

[0235] Users enter information for their travel plans into a questionnaire screen displayed on their device, including the purpose of the trip, budget, preferences, dietary restrictions, type of accommodation, mode of transportation, etc. By entering this information, specific travel requirements are captured digitally.

[0236] Input: Survey information entered by the user

[0237] Output: Survey data in digital format

[0238] Specific operation: The user answers each question on the survey screen on the device, and the device saves the information as digital data.

[0239] Step 2:

[0240] The terminal then packets the survey data entered by the user and sends it over the network to the server, where it is sent as an HTTP request and encrypted if necessary.

[0241] Input: Digital survey data

[0242] Output: Packetized data sent to the server

[0243] Specific operation: The terminal sends data to the server using the requests library, etc.

[0244] Step 3:

[0245] The server inputs the received survey data into the generative AI model, analyzes the data, and generates an optimal travel plan. This analysis process includes selecting travel destinations, activities, accommodations, restaurants, etc. based on the user's requirements.

[0246] Input: Packetized data sent to the server

[0247] Output: Optimal travel plan

[0248] How it works: The server receives the data, and the generative AI model analyzes it to generate a travel plan.

[0249] Step 4:

[0250] The server then generates a short movie based on the generated travel plan, which includes footage of tourist spots, accommodations, restaurants, and other attractions in the selected travel destinations.

[0251] Input: Optimal travel plan

[0252] Output: Short movie

[0253] What it does: The server uses the moviepy.editor library to concatenate video clips based on the travel plan to generate a visually appealing short movie.

[0254] Step 5:

[0255] The server transmits the generated travel plan and short movie to the user terminal.

[0256] Input: Short movie and travel plan

[0257] Output: Data sent to the user's terminal

[0258] Specific operation: The server returns the travel plan and short movie to the user's device as an HTTP request.

[0259] Step 6:

[0260] The user's device displays the received plan and short movie to the user.

[0261] Input: Data sent to the user's terminal

[0262] Output: What is displayed to the user

[0263] Specific operation: The device analyzes the received data and displays a travel plan and a short video to the user.

[0264] 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.

[0265] This invention relates to a system that provides users with optimized travel plans, combining it with an emotion engine that recognizes the user's emotions, to propose more appropriate travel plans according to the user's needs and emotional state. The system consists of a user terminal, a server, and a network that connects them.

[0266] 1. Survey information collection and emotion recognition

[0267] The device displays a questionnaire screen for the user to enter the information necessary for planning a trip. The questionnaire includes questions about the purpose of the trip, budget, preferences, dietary restrictions, type of accommodation, and mode of transportation. The user answers each question and enters the information into the device. Meanwhile, the emotion engine analyzes the user's facial expressions and voice to recognize the user's emotional state (e.g., excitement, joy, surprise, displeasure, etc.) in real time.

[0268] 2. Sending survey data and sentiment data

[0269] The device then packets the questionnaire data entered by the user and the emotional data recognized by the emotion engine and transmits them to the server, allowing the server to grasp not only the user's needs but also their emotional state.

[0270] 3. Data analysis and travel plan generation

[0271] The server inputs the received survey data and emotional data into an AI model, analyzes the data, and generates the optimal travel plan for the user. This analysis takes into account the user's emotional state as well as the survey information. For example, if the user responds with excitement or joy to a particular question, the travel plan can include something that reflects that.

[0272] 4. Creating a short movie

[0273] The server then generates a short movie based on the generated travel plan to help users visualize the plan. This short movie includes footage of selected tourist spots, accommodations, activities, restaurants, etc.

[0274] 5. Submit your plan and short movie

[0275] The server packetizes the generated itinerary and short movie and prepares it for transmission. The terminal receives this data and displays it to the user.

[0276] Example 1: Single user

[0277] 1. Survey information collection and emotion recognition:

[0278] - The user inputs information such as "Purpose of trip: sightseeing," "Budget: 100,000 yen," "Preferences: nature," "Dietary restrictions: none," "Type of accommodation: resort hotel," and "Method of transportation: train" into the device. The emotion engine recognizes the user's emotions in response to this information.

[0279] 2. Sending survey and sentiment data:

[0280] - The device transmits the survey data and emotion data.

[0281] 3. Plan Generation:

[0282] - The server analyzes the data and generates a sightseeing plan for, for example, Hakone. If the user expresses a strong interest in nature, the server will suggest a plan that emphasizes that interest.

[0283] 4. Creating a short movie:

[0284] - The server creates short movies about Hakone's tourist attractions, activities, and resort hotels.

[0285] 5. Submit your plan and short film:

[0286] - The server sends it to the device and the user confirms it.

[0287] Example 2: Multiple users

[0288] 1. Survey information collection and emotion recognition:

[0289] - User A enters "Purpose of travel: Cultural experience", "Budget: 70,000 yen", "Preferences: History", "Dietary restrictions: Vegetarian", "Type of accommodation: Guesthouse", and "Transportation: Bus".

[0290] - User B enters "Purpose of trip: relaxation", "Budget: 80,000 yen", "Preferences: nature", "Dietary restrictions: none", "Type of accommodation: resort hotel", and "Method of transportation: taxi". The emotion engine also recognizes each user's emotional state.

[0291] 2. Sending survey and sentiment data:

[0292] - The device sends each user's data to the server.

[0293] 3. Plan Generation:

[0294] - The server analyzes the data and generates a balanced travel plan for Kyoto, taking into account commonalities and emotional states. For example, it prioritizes a plan that satisfies both User A, who has a strong interest in history, and User B, who is interested in nature.

[0295] 4. Creating a short movie:

[0296] - The server will create a short movie including Kyoto's historical spots, relaxing Arashiyama, vegetarian restaurants, resort hotels and guesthouses.

[0297] 5. Submit your plan and short film:

[0298] - The server sends it to the device and each user confirms it.

[0299] 6. Real-time plan adjustments

[0300] If a user needs to make a sudden change to their travel plans, they can send the change request to the server via their device. The server then analyzes the change request and emotion data, generates a new travel plan in real time, and sends the new plan and a short video to the device.

[0301] 7. Gathering and Recalibrating Emotional Feedback

[0302] The emotion engine monitors and collects the user's emotions as feedback during the display of the itinerary and short movie. The server can analyze this emotional feedback and adjust the itinerary as needed.

[0303] As described above, the present invention is a system that provides flexible and detailed travel plans tailored to the user's travel needs and emotional state, and promotes visually specific images. By combining it with an emotion engine, the user experience can be further improved.

[0304] The processing flow will be explained below.

[0305] Step 1:

[0306] The device displays a questionnaire screen that allows users to enter information necessary for planning their trip, including questions about the purpose of the trip, budget, preferences, dietary restrictions, type of accommodation, and mode of transportation.

[0307] Step 2:

[0308] The user answers each question displayed on the questionnaire screen and enters it into the terminal.

[0309] Step 3:

[0310] The emotion engine analyzes the user's facial expressions and voice while filling out the questionnaire and recognizes the user's emotional state (e.g., joy, excitement, anxiety, etc.).

[0311] Step 4:

[0312] The terminal packetizes the questionnaire data entered by the user and the emotion data recognized by the emotion engine and prepares for transmission.

[0313] Step 5:

[0314] The terminal transmits packetized questionnaire data and emotion data to the server.

[0315] Step 6:

[0316] The server receives the submitted questionnaire data and emotion data and begins the analysis process.

[0317] Step 7:

[0318] The server inputs the received survey data and emotional data into the AI ​​model and performs data analysis. This analysis includes selecting the user's travel destination, recommending activities, selecting accommodations, recommending restaurants, etc. For example, if a user responds with excitement to a specific question, the model will suggest a plan that takes that interest into account.

[0319] Step 8:

[0320] The server generates the optimal travel plan for the user based on the analysis results.

[0321] Step 9:

[0322] The server generates a visual short movie based on the generated travel plan, which includes footage of selected tourist spots, accommodations, activities, restaurants, etc.

[0323] Step 10:

[0324] The server packetizes the generated itinerary and short movie and prepares it for transmission.

[0325] Step 11:

[0326] The server transmits the packetized travel plan and short movie to the terminal.

[0327] Step 12:

[0328] The device displays the received travel plan and short movie to the user.

[0329] Step 13:

[0330] The user checks the displayed travel plan and short movie and enters feedback as necessary.

[0331] Step 14:

[0332] The emotion engine monitors the user's emotions during this confirmation and collects emotion data as feedback.

[0333] Step 15:

[0334] The terminal repackets the feedback and emotion data input by the user and prepares to send it to the server.

[0335] Step 16:

[0336] The terminal transmits packetized feedback and emotion data to the server.

[0337] Step 17:

[0338] The server analyzes the received feedback and emotion data to identify recalibration points.

[0339] Step 18:

[0340] The server takes into account the realignment points and generates a new itinerary.

[0341] Step 19:

[0342] The server generates the short movie again based on the new travel plan.

[0343] Step 20:

[0344] The server packetizes the new travel plan and the short movie and transmits them to the terminal.

[0345] Step 21:

[0346] The terminal displays the new travel plan and short movie received again to the user, prompting for final confirmation.

[0347] Step 22:

[0348] Users review the newly proposed travel plans and short videos and make a final decision.

[0349] Step 23:

[0350] If a user has a sudden change in plans during a trip, the user sends a change request to the server via the terminal.

[0351] Step 24:

[0352] The server analyzes the received change requests and emotion data and generates a new travel plan in real time.

[0353] Step 25:

[0354] The server packetizes the generated new travel plan and short movie and transmits them to the terminal.

[0355] Step 26:

[0356] The terminal displays the retransmitted new travel plan and short movie to the user for confirmation.

[0357] Example 2

[0358] 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."

[0359] While conventional travel planning systems can reflect a user's basic needs and desires, they are unable to provide an optimal plan that takes into account the user's emotional state. Furthermore, when changes are made in real time during a trip, it is difficult to generate a new plan that reflects the user's current emotional state. For this reason, there is a need for a system that can provide specific and flexible travel plans that increase user satisfaction.

[0360] The specification process by the specification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes means for collecting travel-related questionnaire information from users, means for analyzing the questionnaire information to generate an optimal travel plan, means for recognizing the user's emotional state in real time, means for generating a travel plan based on the questionnaire information and emotional state information, means for generating a short movie that provides a visual image based on the travel plan, and means for transmitting the travel plan and short movie to the user terminal. This makes it possible to provide an appropriate travel plan that reflects the user's emotional state, facilitates plan revision in real time, and improves the user experience.

[0361] "User" refers to a person who uses the system to generate a travel plan.

[0362] "Survey Information" means data regarding travel purpose, budget, preferences, dietary restrictions, type of accommodation, and mode of transportation that you enter to plan your trip.

[0363] "Emotional state" refers to the psychological reactions and emotions that are analyzed in real time from the user's facial expressions and voice.

[0364] "Server" refers to a central processing unit that receives questionnaire information and emotional state information, generates a travel plan based on the information, and transmits it.

[0365] An "emotion engine" refers to software or hardware that analyzes a user's facial expressions and voice in real time and recognizes their emotional state.

[0366] The "optimal travel plan" refers to the travel plan that is most suitable for the user, generated based on the user's survey information and emotional state.

[0367] A "short movie" refers to a short video that visually explains the contents of a generated travel plan.

[0368] "User terminal" refers to the electronic device used to input survey information and display the generated travel plan and short movie.

[0369] This invention relates to a system that provides users with optimized travel plans, combining an emotion engine that recognizes the user's emotions and proposing travel plans that correspond to the user's needs and emotional state. This system is composed of a user terminal, a server, and a network that connects them.

[0370] Survey information collection and emotion recognition

[0371] The device displays a questionnaire screen for the user to enter the information necessary for planning a trip. The questionnaire includes questions about the purpose of the trip, budget, preferences, dietary restrictions, type of accommodation, and mode of transportation. The user answers each question and enters the information into the device. Meanwhile, the emotion engine analyzes the user's facial expressions and voice to recognize the user's emotional state (e.g., excitement, joy, surprise, displeasure, etc.) in real time.

[0372] Sending survey and sentiment data

[0373] The device then packets the questionnaire data entered by the user and the emotional data recognized by the emotion engine and transmits them to the server, allowing the server to grasp not only the user's needs but also their emotional state.

[0374] Data analysis and travel plan generation

[0375] The server inputs the received survey data and emotional data into a generative AI model, analyzes the data, and generates the optimal travel plan for the user. This analysis takes into account not only the survey information but also the user's emotional state. For example, if the user responds to a particular question with excitement or joy, the travel plan can include something that reflects that.

[0376] Creating a short movie

[0377] The server then generates a short movie based on the generated travel plan to help users visualize the plan. This short movie includes footage of selected tourist spots, accommodations, activities, restaurants, etc.

[0378] Submit your plan and short movie

[0379] The server packetizes the generated itinerary and short movie and prepares it for transmission. The terminal receives this data and displays it to the user.

[0380] Specific use cases

[0381] Example 1: Single user

[0382] 1. Survey information collection and emotion recognition:

[0383] - The user inputs information such as "Purpose of trip: sightseeing," "Budget: 100,000 yen," "Preferences: nature," "Dietary restrictions: none," "Type of accommodation: resort hotel," and "Method of transportation: train" into the device. The emotion engine recognizes the user's emotions in response to this information.

[0384] 2. Sending survey and sentiment data:

[0385] - The device transmits the survey data and emotion data.

[0386] 3. Plan Generation:

[0387] - The server analyzes the data and generates a sightseeing plan for, for example, Hakone. If the user expresses a strong interest in nature, the server will suggest a plan that emphasizes that interest.

[0388] 4. Creating a short movie:

[0389] - The server creates short movies about Hakone's tourist attractions, activities, and resort hotels.

[0390] 5. Submit your plan and short film:

[0391] - The server sends it to the device and the user confirms it.

[0392] Example 2: Multiple users

[0393] 1. Survey information collection and emotion recognition:

[0394] - User A enters "Purpose of travel: Cultural experience", "Budget: 70,000 yen", "Preferences: History", "Dietary restrictions: Vegetarian", "Type of accommodation: Guesthouse", and "Transportation: Bus".

[0395] - User B enters "Purpose of trip: relaxation", "Budget: 80,000 yen", "Preferences: nature", "Dietary restrictions: none", "Type of accommodation: resort hotel", and "Method of transportation: taxi". The emotion engine also recognizes each user's emotional state.

[0396] 2. Sending survey and sentiment data:

[0397] - The device sends each user's data to the server.

[0398] 3. Plan Generation:

[0399] - The server analyzes the data and generates a balanced travel plan for Kyoto, taking into account commonalities and emotional states. For example, it prioritizes a plan that satisfies both User A, who has a strong interest in history, and User B, who is interested in nature.

[0400] 4. Creating a short movie:

[0401] - The server will create a short movie including Kyoto's historical spots, relaxing Arashiyama, vegetarian restaurants, resort hotels and guesthouses.

[0402] 5. Submit your plan and short film:

[0403] - The server sends it to the device and each user confirms it.

[0404] Real-time plan adjustments

[0405] If a user needs to make a sudden change to their travel plans, they can send the change request to the server via their device. The server then analyzes the change request and emotion data, generates a new travel plan in real time, and sends the new plan and a short video to the device.

[0406] Collecting and Recalibrating Emotional Feedback

[0407] The emotion engine monitors and collects the user's emotions as feedback during the display of the itinerary and short movie. The server can analyze this emotional feedback and adjust the itinerary as needed.

[0408] Prompt Sentence Examples

[0409] Generate optimal travel plans based on information such as "sightseeing," "budget: 100,000 yen," "preferences: nature," "dietary restrictions: none," "type of accommodation: resort hotel," and "transportation: train," and incorporate related sentiment data into your plans.

[0410] By implementing the present invention in accordance with the above aspects, it is possible to provide flexible travel plans that precisely reflect the user's needs and emotional state. By using an emotion engine, a more personalized and satisfying travel experience can be realized.

[0411] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0412] Step 1: Collect survey information

[0413] The device displays a questionnaire screen for the user to enter the information necessary for planning a trip, such as the purpose of the trip, budget, preferences, dietary restrictions, type of accommodation, and mode of transportation. The entered data is saved on the device as survey information.

[0414] input:

[0415] Purpose of trip (e.g. sightseeing)

[0416] Budget (e.g. 100,000 yen)

[0417] Preferences (e.g., nature)

[0418] Dietary restrictions (e.g. none)

[0419] Type of accommodation (e.g. resort hotel)

[0420] Transportation (e.g. train)

[0421] output:

[0422] Survey information data (JSON format, etc.)

[0423] Step 2: Emotion Recognition

[0424] The emotion engine analyzes the user's facial expressions and voice in real time using the device's camera and microphone. The analyzed emotional state is captured as emotional data. For example, when a user types "nature," the emotion (excitement, joy, etc.) is recognized.

[0425] input:

[0426] User facial expression data

[0427] User voice data

[0428] output:

[0429] Emotion data (emotion labels such as excitement, joy, etc.)

[0430] Step 3: Send survey and sentiment data

[0431] The terminal then packetizes the collected questionnaire information and emotion data and transmits them to the server using a network communication protocol.

[0432] input:

[0433] Survey information data

[0434] Emotional Data

[0435] output:

[0436] Packetized data sent to the server

[0437] Step 4: Receiving and analyzing data

[0438] The server receives the survey information and emotion data sent from the device. Then, this data is input into the generative AI model for analysis. The server generates the optimal travel plan for the user based on the received data.

[0439] input:

[0440] Survey information data sent from the device

[0441] Emotional Data

[0442] output:

[0443] Travel plans as analysis results

[0444] Step 5: Create a short movie

[0445] The server then generates a short movie based on the generated travel plan, which allows users to visualize the plan visually. The short movie includes footage of selected tourist spots, accommodations, activities, restaurants, etc. Video editing software is used.

[0446] input:

[0447] Travel Planner

[0448] output:

[0449] Short Movie

[0450] Step 6: Submit your plan and short movie

[0451] The server packetizes the generated travel plan and short movie and transmits them to the terminal, which receives the data and displays it to the user.

[0452] input:

[0453] Travel Planner

[0454] Short Movie

[0455] output:

[0456] Data sent to the device

[0457] Step 7: Real-time plan adjustments

[0458] If a user needs to make a sudden change to their travel plans, they can send the change request to the server via their device. The server then analyzes the request and their current emotion data, generates a new travel plan in real time, and sends the new plan and a short video to the device.

[0459] input:

[0460] Change requests (new travel purpose, budget, etc.)

[0461] Current Emotion Data

[0462] output:

[0463] New travel plans

[0464] New short movie

[0465] Step 8: Gather and recalibrate emotional feedback

[0466] The emotion engine monitors the user's emotions while viewing the itinerary and short movie, and collects them as feedback. The server analyzes this emotion feedback and adjusts the itinerary as needed.

[0467] input:

[0468] User emotional feedback data

[0469] output:

[0470] Reworked travel plans

[0471] (Application example 2)

[0472] 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."

[0473] Conventional travel plan generation systems only provide plans based on the user's basic needs and requests, but are unable to provide plans that take into account the user's emotional state. As a result, plans that do not match the user's emotions or mood are sometimes proposed, making it difficult to improve the user experience. It is also difficult to provide flexible plans that take into account sudden changes during the trip and each user's emotional state in real time.

[0474] 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.

[0475] In this invention, the server includes means for collecting travel-related questionnaire information from users, means for analyzing the questionnaire information and emotion data generated by an emotion recognition engine to generate an optimal travel plan, and means for proposing optimal content based on the travel plan and the user's emotional state, thereby enabling the server to propose travel plans and appropriate content that reflect the user's emotional state.

[0476] A "travel plan" is a plan that suggests a travel itinerary suitable for the user based on the user's survey information and emotional data.

[0477] "Survey Information" refers to information collected from users regarding their travel purpose, budget, preferences, dietary restrictions, type of accommodation, and mode of transportation.

[0478] An "emotion recognition engine" is a system that recognizes a user's emotional state in real time by analyzing their facial expressions and voice.

[0479] "Emotion data" is data that indicates the emotional state of a user, generated by an emotion recognition engine.

[0480] A "short movie" is a short video created to give a visual image of a travel plan.

[0481] A "user device" is an electronic device (such as a smartphone or tablet) that a user uses to enter survey information and view suggested travel plans and short movies.

[0482] "Content" refers to information media such as music, videos, articles, etc. that are suggested based on the user's emotional state.

[0483] "Analysis" refers to the computational process of receiving survey information and emotion data and generating travel plans and optimal content based on them.

[0484] "Commonalities" are elements that are the same or similar in the survey information or emotional data of multiple users.

[0485] This invention relates to a system that provides travel plans based on a user's needs and emotional state. The system consists of a user terminal, a server, and a network that connects them. The user terminal is an electronic device such as a smartphone or tablet, and the server uses a cloud environment or a dedicated server.

[0486] Collecting survey information and sentiment data

[0487] The device displays a questionnaire screen where users can enter the information necessary for planning their trip. The questionnaire includes questions about the purpose of the trip, budget, preferences, dietary restrictions, type of accommodation, and mode of transportation. An emotion recognition engine also analyzes the user's facial expressions and voice to recognize emotional data in real time. This makes it possible to generate a travel plan that reflects the user's feelings.

[0488] Data transmission and analysis

[0489] The device sends the questionnaire data and emotional data entered by the user to the server. The server inputs the received data into the AI ​​model for analysis. The AI ​​model generates an optimal travel plan based on the user's needs and emotional state. This plan includes the best sightseeing spots, accommodations, activities, etc. based on the user's interests.

[0490] Short movie generation

[0491] The server then creates a short movie based on the generated travel plan, which includes footage of selected tourist spots, accommodations, activities, restaurants, etc., allowing users to visually visualize the trip.

[0492] Submit your plan and short movie

[0493] The server sends the generated travel plan and short movie to the user's terminal, which receives the data and displays it to the user. The user can then decide on the details of their trip based on the information they have confirmed.

[0494] Specific examples

[0495] For example, if a user enters information such as "Purpose of trip: sightseeing," "Budget: 100,000 yen," "Preferences: nature," "Dietary restrictions: none," "Type of accommodation: resort hotel," and "Method of transportation: train," and the emotion recognition engine recognizes the user's excitement, the system will provide a travel plan focusing on the keyword "nature."The short movie also includes footage of Hakone's tourist spots, activities, and resort hotels.

[0496] Prompt Sentence Examples

[0497] "We want to suggest the best content for users who express the emotion of joy. What kind of music and videos are suitable for joy?"

[0498] In this way, the present invention provides a system that provides travel plans and related content that reflects the user's needs and emotional state in real time. The combination of an AI model and an emotion recognition engine enables a more personalized user experience.

[0499] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0500] Step 1:

[0501] Users enter information necessary for planning a trip into the terminal, such as the purpose of the trip, budget, preferences, dietary restrictions, type of accommodation, and mode of transportation.

[0502] Input: Travel survey information entered by the user.

[0503] Output: Collected survey information.

[0504] Specific operation: The user enters the required information into the form displayed on the device screen and presses the "Submit" button.

[0505] Step 2:

[0506] The device uses an emotion recognition engine that analyzes the user's facial expressions and voice to recognize their emotional state in real time.

[0507] Input: User's facial and voice data.

[0508] Output: Recognized emotion data.

[0509] Specific operation: The device's camera and microphone are used to capture the user's facial expressions and voice, which are then analyzed by the emotion recognition engine to generate emotion data.

[0510] Step 3:

[0511] The terminal transmits the questionnaire information and emotion data to the server.

[0512] Input: Survey information and sentiment data.

[0513] Output: Survey information and sentiment data sent to the server.

[0514] Specific operation: The terminal packets the survey information and emotion data and sends them to the server via the network.

[0515] Step 4:

[0516] The server inputs the survey information and emotional data it receives into the AI ​​model and performs data analysis.

[0517] Input: Survey information and sentiment data.

[0518] Output: Optimal travel plan.

[0519] How it works: The server uses the AI ​​model to generate a travel plan that takes into account the user's needs and emotional state, including selecting appropriate tourist destinations, accommodations, activities, etc. from a database.

[0520] Step 5:

[0521] Based on the travel plan generated by the server, a short movie that can be visualized visually is created.

[0522] Input: The generated itinerary.

[0523] Output: Short movie.

[0524] Specific operation: The server combines video footage of designated tourist spots, accommodations, and activities to generate a short movie that visually appeals to the user.

[0525] Step 6:

[0526] The server transmits the generated travel plan and short movie to the user terminal.

[0527] Input: travel plans and short movies.

[0528] Output: The itinerary and short movie sent to the user's device.

[0529] Specific operation: The server packetizes the travel plan and short movie and sends them to the user's terminal via the network.

[0530] Step 7:

[0531] The user checks the travel plan and short movie displayed on the device.

[0532] Input: A travel plan and a short movie displayed on the user's device.

[0533] Output: User confirmation and decision.

[0534] Specific operation: The user checks the travel plan and short movie displayed on the device screen, and requests changes or decides on the plan if necessary.

[0535] Step 8:

[0536] If a user has a sudden change in plans while traveling, the user sends a change request to the server via the terminal.

[0537] Input: Request for mid-trip rescheduling.

[0538] Output: The change request sent to the server.

[0539] Specific operation: The user inputs a change request on the terminal and presses the send button. The terminal sends the change request to the server.

[0540] Step 9:

[0541] The server analyzes the change request and emotion data it receives, generates a new travel plan in real time, and sends it to the terminal.

[0542] Input: Change request and sentiment data.

[0543] Output: New travel plans.

[0544] Specific operation: The server again uses the AI ​​model to generate a new travel plan based on the change request and sends it to the device.

[0545] As described above, the present invention is divided into multiple steps, and the specific processing content and flow of each step are explained in detail, making it possible to generate an optimal travel plan that matches the user's needs and emotional state.

[0546] 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.

[0547] 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.

[0548] 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.

[0549] [Second embodiment]

[0550] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0551] 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.

[0552] 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).

[0553] 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.

[0554] 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.

[0555] 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).

[0556] 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.

[0557] 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.

[0558] 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.

[0559] 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.

[0560] 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.

[0561] 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."

[0562] The present invention relates to a system for proposing travel plans optimized for individual travel needs. The system is composed of a user terminal, a server, and a network for exchanging information between them.

[0563] 1. Collection of survey information

[0564] The device displays a questionnaire screen where the user can enter the necessary information for their trip planning. The questionnaire includes questions about the purpose of the trip, budget, preferences, dietary restrictions, type of accommodation, mode of transportation, etc. The user answers each question and enters the information into the device.

[0565] 2. Sending survey data

[0566] The terminal packetizes the questionnaire data entered by the user and transmits it to the server via the network.

[0567] 3. Analysis of survey data and plan generation

[0568] The server inputs the received survey data into an AI model and analyzes the data to generate the optimal travel plan for the user. The analysis process involves understanding the survey information and selecting travel destinations, activities, accommodations, restaurants, etc.

[0569] 4. Creating a short movie

[0570] The server then generates a short movie based on the generated travel plan to help users visualize the plan. This short movie includes footage of tourist spots, accommodations, restaurants, and other attractions in the selected travel destination.

[0571] 5. Submit your plan and short movie

[0572] The server sends the generated travel plan and short movie to the user's terminal, which displays the received plan and short movie to the user.

[0573] Example 1: Single user

[0574] 1. Survey Information Collection:

[0575] The user enters information such as "Purpose of trip: sightseeing," "Budget: 100,000 yen," "Preferences: nature," "Dietary restrictions: none," "Type of accommodation: resort hotel," and "Method of transportation: train" into the device.

[0576] 2. Sending survey data:

[0577] The terminal sends input data.

[0578] 3. Plan Generation:

[0579] The server performs the analysis and generates a sightseeing plan for, for example, Hakone.

[0580] 4. Creating a short movie:

[0581] The server creates short movies about Hakone's tourist attractions, activities, and resort hotels.

[0582] 5. Submit your plan and short film:

[0583] The server sends it to the terminal and the user confirms it.

[0584] Example 2: Multiple users

[0585] 1. Survey Information Collection:

[0586] User A enters "Purpose of travel: Cultural experience", "Budget: 70,000 yen", "Preferences: History", "Dietary restrictions: Vegetarian", "Type of accommodation: Guesthouse", and "Means of transportation: Bus".

[0587] User B enters "Purpose of trip: relaxation", "Budget: 80,000 yen", "Preferences: nature", "Dietary restrictions: none", "Type of accommodation: resort hotel", and "Method of transportation: taxi".

[0588] 2. Sending survey data:

[0589] The device sends each user's data to the server.

[0590] 3. Plan Generation:

[0591] The server performs the analysis, takes into account commonalities, and generates a balanced travel plan for "Kyoto."

[0592] 4. Creating a short movie:

[0593] The server will create a short movie that includes Kyoto's historical spots, relaxing Arashiyama, vegetarian restaurants, resort hotels and guesthouses.

[0594] 5. Submit your plan and short film:

[0595] The server sends it to the terminal and each user confirms it.

[0596] 6. Real-time plan adjustments

[0597] If a user needs to make a sudden change to their travel plans, they can send a request for the change to the server via their device. The server then analyzes the request, generates a new travel plan in real time, and sends the new plan and a short video to the device.

[0598] This allows users to flexibly respond to changes during their trip and enjoy their trip without stress.

[0599] As described above, the present invention is a system that provides flexible and detailed plans according to the user's travel needs, and further promotes concrete images through visual short movies.

[0600] The processing flow will be explained below.

[0601] Step 1:

[0602] The device displays a questionnaire screen where users can enter information necessary for planning their trip, such as the purpose of their trip, budget, preferences, dietary restrictions, type of accommodation, and mode of transportation.

[0603] Step 2:

[0604] The user answers the questions displayed on the questionnaire screen and enters the information into the terminal.

[0605] Step 3:

[0606] The terminal packetizes the questionnaire data entered by the user and prepares it for transmission. After checking that there are no errors, the data is sent to the server.

[0607] Step 4:

[0608] The server receives the submitted survey data and begins the analysis process.

[0609] Step 5:

[0610] The server inputs the received survey data into the AI ​​model and performs data analysis, which includes selecting the user's destination, recommending activities, selecting accommodations, and recommending restaurants.

[0611] Step 6:

[0612] The server generates the optimal travel plan for the user based on the results of the above analysis.

[0613] Step 7:

[0614] The server generates a visual short movie based on the generated travel plan, which includes footage of selected tourist spots, accommodations, activities, restaurants, etc.

[0615] Step 8:

[0616] The server packetizes the generated travel plan and short movie and prepares it for transmission.

[0617] Step 9:

[0618] The server transmits the packetized data to the terminal.

[0619] Step 10:

[0620] The device displays the received travel plan and short movie to the user.

[0621] Step 11:

[0622] The user checks the displayed travel plan and short movie and enters any feedback they may need.

[0623] Step 12:

[0624] The terminal sends feedback of the user input to the server.

[0625] Step 13:

[0626] The server analyzes the received feedback and identifies realignment points.

[0627] Step 14:

[0628] The server generates a new travel plan that reflects the readjustment points and creates a new short movie.

[0629] Step 15:

[0630] The server transmits the generated new travel plan and short movie to the terminal.

[0631] Step 16:

[0632] The terminal displays the re-sent travel plan and short movie to the user, prompting them to confirm and make a final decision.

[0633] Step 17:

[0634] If a user has a sudden change in plans during a trip, the user sends a change request to the server via the terminal.

[0635] Step 18:

[0636] The server analyzes the received change request and generates a new travel plan in real time according to the situation.

[0637] Step 19:

[0638] The server transmits the generated new travel plan and short movie to the terminal.

[0639] Step 20:

[0640] The terminal displays the retransmitted new travel plan and short movie to the user for confirmation.

[0641] Example 1

[0642] 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."

[0643] Conventional travel plan suggestion systems have difficulty automatically generating optimal plans that meet the user's travel needs. Furthermore, they lack a mechanism for quickly responding to requests for changes in the travel plan, making it difficult to revise the plan in real time. As a result, users are unable to flexibly respond to changes in the situation during their trip, which can lead to an unsatisfactory travel experience. Furthermore, the lack of visual information makes it difficult for users to visualize the plan in concrete terms.

[0644] 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.

[0645] In this invention, the server includes means for collecting travel-related questionnaire information from users, means for packetizing the questionnaire information and transmitting it to the server via a network, means for analyzing the questionnaire information and generating an optimal travel plan using a processor and a generative AI model, means for generating a short movie that provides a visual image based on the travel plan, means for transmitting the travel plan and the short movie to a user terminal, and means for modifying the travel plan in real time based on changes requested by the user. This allows for automatic generation of a travel plan optimized to the user's needs, enabling flexible response, and allowing the user to visualize the plan concretely by providing visual information.

[0646] "Survey Information" refers to data entered by a user as information necessary for travel planning, including the purpose of the trip, budget, preferences, dietary restrictions, type of accommodation, and means of transportation.

[0647] "Packetization" is the process of converting information entered by a user into a specific data format (for example, JSON format) so that it can be sent over a network.

[0648] "Plan generation" is the process of analyzing collected survey information and using AI models and processors to create the optimal travel plan for the user.

[0649] "Short movie generation" is the process of creating a short video to provide a visual image based on the generated travel plan. The video includes information on travel destinations, accommodations, restaurants, etc.

[0650] "Real-time plan modification" is a process that immediately reflects changes to plans that occur during a trip in response to a change request from the user, and generates a new travel plan and short movie.

[0651] A "generative AI model" is an artificial intelligence algorithm used for data analysis and travel plan generation, proposing the optimal plan based on the survey information entered by the user.

[0652] The "network" is the infrastructure that connects user terminals to the server and sends and receives data such as survey information, generated plans, and short movies.

[0653] The present invention relates to a system that proposes travel plans optimized to a user's travel needs. The system is composed of a user terminal, a server, and a network that exchanges information between them.

[0654] Hardware and Software Configuration

[0655] The terminal is a device such as a computer or smartphone used by the user, and provides an application or browser interface for collecting survey information and sending it to the server.

[0656] The server is a high-performance computer system that analyzes survey information, generates travel plans, and creates short movies. The server also contains a database management system, generative AI models, and multimedia editing software (e.g., FFmpeg).

[0657] The network is an internet line that connects user terminals and servers.

[0658] System Operation

[0659] 1. Collection of survey information

[0660] The device displays a questionnaire screen where the user can enter the necessary information for their trip planning. The questionnaire includes questions about the purpose of the trip, budget, preferences, dietary restrictions, type of accommodation, mode of transportation, etc. The user answers each question and enters the information into the device.

[0661] 2. Sending survey data

[0662] The terminal converts the survey data entered by the user into packets in JSON format or similar and sends them to the server via the network. This operation uses an HTTP POST request.

[0663] 3. Analysis of survey data and plan generation

[0664] The server inputs the received survey data into a generative AI model, analyzes the data, and generates the optimal travel plan for the user. This analysis includes the process of understanding the survey information and selecting travel destinations, activities, accommodations, restaurants, etc.

[0665] 4. Creating a short movie

[0666] The server then generates a short movie based on the generated travel plan to help users visualize the plan. This short movie includes footage of the tourist spots, accommodations, restaurants, etc. of the selected travel destination. Video editing software such as FFmpeg and Adobe Premiere Pro is used to create the short movie.

[0667] 5. Submit your plan and short movie

[0668] The server sends the generated travel plan and short movie to the user's terminal, which displays the received plan and short movie to the user.

[0669] 6. Real-time plan adjustments

[0670] If a user's plans suddenly change during their trip, they can send a change request to the server via their device. The server analyzes the request, generates a new travel plan in real time, and sends the new plan and a short movie to the device. This allows users to flexibly respond to changes during their trip and enjoy a stress-free trip.

[0671] Specific examples

[0672] As a specific example, consider a case where a user enters information such as "Purpose of trip: sightseeing," "Budget: 100,000 yen," "Preferences: nature," "Dietary restrictions: none," "Type of accommodation: resort hotel," and "Means of transportation: train."

[0673] 1. Survey Information Collection:

[0674] The user enters information such as "Purpose of trip: sightseeing," "Budget: 100,000 yen," "Preferences: nature," "Dietary restrictions: none," "Type of accommodation: resort hotel," and "Method of transportation: train" into the device.

[0675] 2. Sending survey data:

[0676] The terminal transmits these input data to the server.

[0677] 3. Plan Generation:

[0678] The server analyzes the data and generates a sightseeing plan for, for example, Hakone.

[0679] 4. Creating a short movie:

[0680] The server creates short movies about Hakone's tourist attractions, activities, and resort hotels.

[0681] 5. Submit your plan and short film:

[0682] The server sends this to the terminal and the user confirms it.

[0683] Prompt Sentence Examples

[0684] Here is an example of a prompt that the user might enter:

[0685] "Purpose of trip: sightseeing"

[0686] "Budget: 100,000 yen"

[0687] "Preference: Nature"

[0688] "Dietary restrictions: None"

[0689] "Type of accommodation: Resort hotel"

[0690] "Transportation means: train"

[0691] As described above, the present invention is a system that provides flexible and detailed plans according to the user's travel needs, and further promotes concrete images through visual short movies.

[0692] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0693] Step 1: Collect survey information

[0694] The terminal displays a questionnaire screen for the user to enter travel-related information. This screen includes questions about the purpose of the trip, budget, preferences, dietary restrictions, type of accommodation, and mode of transportation. The user answers each question and enters the information into the terminal. The following prompt sentence is obtained as input data:

[0695] "Purpose of trip: sightseeing"

[0696] "Budget: 100,000 yen"

[0697] "Preference: Nature"

[0698] "Dietary restrictions: None"

[0699] "Type of accommodation: Resort hotel"

[0700] "Transportation means: train"

[0701] Specific actions

[0702] The device places the entered data into a form that is displayed in the browser or application. When the user has finished entering the information, they press a confirm button to confirm the data.

[0703] Step 2: Submit your survey data

[0704] The terminal converts the survey data entered by the user into packets in JSON format, etc., and then sends them to a server via the Internet. The input data is the user's survey information, and the output data is the packet sent to the server.

[0705] Specific actions

[0706] The device sends packetized data to the specified API endpoint using an HTTP POST request, and the server receives the request and responds with a status code of 200 (success).

[0707] Step 3: Receiving and analyzing survey data

[0708] The server receives data packets sent over the network, analyzes the received survey data, and uses a generative AI model to generate an optimal travel plan for the user. The input data is the survey information sent from the device, and the output data is the optimal travel plan that is the result of the analysis.

[0709] Specific actions

[0710] The server decodes the received survey data and inputs it into a generative AI model. The AI ​​model selects the optimal travel plan based on the user's preferences and conditions. For example, it would suggest a sightseeing plan for "Hakone" to a user who likes "nature."

[0711] Step 4: Generate a short movie

[0712] The server generates a short movie based on the generated travel plan to help users visualize the plan. This short movie includes footage of tourist spots, accommodations, restaurants, etc. in the selected travel destination. The input data is the generated travel plan, and the output data is the short movie.

[0713] Specific actions

[0714] The server collects videos and images of selected travel destinations and facilities from the database, and edits the collected media files using video editing software (e.g., FFmpeg) to create short movies of 1 to 3 minutes.

[0715] Step 5: Submit your plan and short movie

[0716] The server transmits the generated travel plan and short movie to the user terminal. The input data are the travel plan and short movie, and the output data are packets sent to the terminal.

[0717] Specific actions

[0718] The server compresses the travel plan and short movie into a ZIP file and sends it to the device using an HTTP request. The device unpacks the received packet and displays the plan and movie to the user in the application.

[0719] Step 6: Real-time plan adjustments

[0720] If a sudden change in plans occurs during a trip, the user sends a change request to the server via their device. The server analyzes the received change request, generates a new travel plan in real time, and sends the new plan and a short movie to the device. The input data is the change request, and the output data is the new travel plan and a short movie.

[0721] Specific actions

[0722] When the server receives the change request, it inputs the new conditions into the generative AI model and quickly generates a new plan, then quickly edits the short movie based on the new plan and sends it back to the device.

[0723] (Application example 1)

[0724] 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."

[0725] There is a need for a method to meet the diverse travel needs of users and provide optimal travel plans tailored to their individual requests. In particular, there is a lack of systems that can accommodate cases where users have different preferences and conditions, or when multiple people are traveling together. Another challenge is providing users with a visually concrete image that makes it easy to understand the travel plan and increases their satisfaction.

[0726] 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.

[0727] In this invention, the server includes means for collecting travel-related questionnaire information from users, means for analyzing the questionnaire information to generate an optimal travel plan, means for generating a short movie that provides a visual image based on the travel plan, means for transmitting the travel plan and the short movie to a user terminal, means for packetizing the questionnaire data entered by the user and transmitting the packetized data to the server via a network, and means for inputting the questionnaire data received by the server into a generative AI model, analyzing the data to generate a travel plan, and generating a short movie based on the plan. This makes it possible to provide an optimized travel plan for each user and provide specific suggestions using visual images.

[0728] "User" means a user who receives a travel plan proposal.

[0729] "Survey Information" refers to information entered by a user to plan a trip, such as travel purpose, budget, preferences, dietary restrictions, type of accommodation, and mode of transportation.

[0730] The "server" is a computer system that analyzes the received questionnaire data, generates a travel plan and a short movie, and sends them to the user.

[0731] A "travel plan" is a proposal for the most suitable trip for the user, generated based on the survey information.

[0732] A "short movie" is a short video that helps users visualize the generated travel plan.

[0733] "User terminal" refers to an electronic device on which a user inputs survey information and receives the generated travel plan and short movie.

[0734] "Network" means a digital communications system for communicating data between user terminals and a server.

[0735] A "generative AI model" is an artificial intelligence algorithm that analyzes survey information and generates optimal travel plans.

[0736] "Packetization" refers to the data processing that divides the survey data entered by the user into small data blocks and sends them to the server over the network.

[0737] This invention is a system that proposes travel plans optimized to the user's travel needs, and is composed of a user terminal, a server, and a network that exchanges information between them.

[0738] Users use a questionnaire screen to enter the information necessary for their travel plans. On this questionnaire screen, they enter information such as the purpose of the trip, budget, preferences, dietary restrictions, type of accommodation, and mode of transportation. The information collected through the questionnaire is packetized by the device and sent to a server over the network. The server inputs this information into a generative AI model for analysis. Based on the generated travel plan, the server automatically generates a short movie that allows users to visually visualize the plan. Finally, the travel plan and short movie are sent back over the network to the user's device and displayed to the user.

[0739] The details of the operation are as follows.

[0740] 1. Survey Information Collection:

[0741] The user device displays a questionnaire screen for the user to enter the information necessary for planning a trip. The questionnaire includes questions about the purpose of the trip, budget, preferences, dietary restrictions, type of accommodation, mode of transportation, etc. The user answers each question and enters the information into the device.

[0742] Examples:

[0743] Example prompt sentence:

[0744] Complete our travel planning survey.

[0745] 1. Enter the purpose of your trip: Sightseeing

[0746] 2. Enter your budget: 100,000 yen

[0747] 3. Enter your preference: Nature

[0748] 4. Enter your dietary restrictions: None

[0749] 5. Enter your accommodation type: Resort Hotel

[0750] 6. Please enter your mode of transportation: Train

[0751] 2. Sending survey data:

[0752] The user terminal packets the survey data entered by the user and sends it to the server over the network, using an HTTP library such as the requests library.

[0753] 3. Survey data analysis and plan generation:

[0754] The server inputs the received survey data into a generative AI model, analyzes the data, and generates the optimal travel plan for the user. This analysis includes the process of understanding the survey information and selecting travel destinations, activities, accommodations, restaurants, etc.

[0755] 4. Creating a short movie:

[0756] The server generates a short movie based on the generated travel plan to help users visualize the plan. This short movie includes footage of tourist attractions, accommodations, restaurants, etc. in the selected travel destinations using the moviepy.editor library.

[0757] 5. Submit your plan and short film:

[0758] The server transmits the generated travel plan and short movie to the user terminal, which displays the received plan and short movie to the user.

[0759] Furthermore, if a user's plans suddenly change during their trip, they can send a change request to the server via their device. In this case, the server analyzes the received change request, generates a new travel plan in real time, and sends the new plan and a short movie to the device. This allows users to flexibly respond to changes during their trip and enjoy a stress-free trip.

[0760] As described above, the present invention is a system that provides flexible and detailed plans according to the user's travel needs, and further promotes concrete images through visual short movies.

[0761] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0762] Step 1:

[0763] Users enter information for their travel plans into a questionnaire screen displayed on their device, including the purpose of the trip, budget, preferences, dietary restrictions, type of accommodation, mode of transportation, etc. By entering this information, specific travel requirements are captured digitally.

[0764] Input: Survey information entered by the user

[0765] Output: Survey data in digital format

[0766] Specific operation: The user answers each question on the survey screen on the device, and the device saves the information as digital data.

[0767] Step 2:

[0768] The terminal then packets the survey data entered by the user and sends it over the network to the server, where it is sent as an HTTP request and encrypted if necessary.

[0769] Input: Digital survey data

[0770] Output: Packetized data sent to the server

[0771] Specific operation: The terminal sends data to the server using the requests library, etc.

[0772] Step 3:

[0773] The server inputs the received survey data into the generative AI model, analyzes the data, and generates an optimal travel plan. This analysis process includes selecting travel destinations, activities, accommodations, restaurants, etc. based on the user's requirements.

[0774] Input: Packetized data sent to the server

[0775] Output: Optimal travel plan

[0776] How it works: The server receives the data, and the generative AI model analyzes it to generate a travel plan.

[0777] Step 4:

[0778] The server then generates a short movie based on the generated travel plan, which includes footage of tourist spots, accommodations, restaurants, and other attractions in the selected travel destinations.

[0779] Input: Optimal travel plan

[0780] Output: Short movie

[0781] What it does: The server uses the moviepy.editor library to concatenate video clips based on the travel plan to generate a visually appealing short movie.

[0782] Step 5:

[0783] The server transmits the generated travel plan and short movie to the user terminal.

[0784] Input: Short movie and travel plan

[0785] Output: Data sent to the user's terminal

[0786] Specific operation: The server returns the travel plan and short movie to the user's device as an HTTP request.

[0787] Step 6:

[0788] The user's device displays the received plan and short movie to the user.

[0789] Input: Data sent to the user's terminal

[0790] Output: What is displayed to the user

[0791] Specific operation: The device analyzes the received data and displays a travel plan and a short video to the user.

[0792] 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.

[0793] This invention relates to a system that provides users with optimized travel plans, combining it with an emotion engine that recognizes the user's emotions, to propose more appropriate travel plans according to the user's needs and emotional state. The system consists of a user terminal, a server, and a network that connects them.

[0794] 1. Survey information collection and emotion recognition

[0795] The device displays a questionnaire screen for the user to enter the information necessary for planning a trip. The questionnaire includes questions about the purpose of the trip, budget, preferences, dietary restrictions, type of accommodation, and mode of transportation. The user answers each question and enters the information into the device. Meanwhile, the emotion engine analyzes the user's facial expressions and voice to recognize the user's emotional state (e.g., excitement, joy, surprise, displeasure, etc.) in real time.

[0796] 2. Sending survey data and sentiment data

[0797] The device then packets the questionnaire data entered by the user and the emotional data recognized by the emotion engine and transmits them to the server, allowing the server to grasp not only the user's needs but also their emotional state.

[0798] 3. Data analysis and travel plan generation

[0799] The server inputs the received survey data and emotional data into an AI model, analyzes the data, and generates the optimal travel plan for the user. This analysis takes into account the user's emotional state as well as the survey information. For example, if the user responds with excitement or joy to a particular question, the travel plan can include something that reflects that.

[0800] 4. Creating a short movie

[0801] The server then generates a short movie based on the generated travel plan to help users visualize the plan. This short movie includes footage of selected tourist spots, accommodations, activities, restaurants, etc.

[0802] 5. Submit your plan and short movie

[0803] The server packetizes the generated itinerary and short movie and prepares it for transmission. The terminal receives this data and displays it to the user.

[0804] Example 1: Single user

[0805] 1. Survey information collection and emotion recognition:

[0806] - The user inputs information such as "Purpose of trip: sightseeing," "Budget: 100,000 yen," "Preferences: nature," "Dietary restrictions: none," "Type of accommodation: resort hotel," and "Method of transportation: train" into the device. The emotion engine recognizes the user's emotions in response to this information.

[0807] 2. Sending survey and sentiment data:

[0808] - The device transmits the survey data and emotion data.

[0809] 3. Plan Generation:

[0810] - The server analyzes the data and generates a sightseeing plan for, for example, Hakone. If the user expresses a strong interest in nature, the server will suggest a plan that emphasizes that interest.

[0811] 4. Creating a short movie:

[0812] - The server creates short movies about Hakone's tourist attractions, activities, and resort hotels.

[0813] 5. Submit your plan and short film:

[0814] - The server sends it to the device and the user confirms it.

[0815] Example 2: Multiple users

[0816] 1. Survey information collection and emotion recognition:

[0817] - User A enters "Purpose of travel: Cultural experience", "Budget: 70,000 yen", "Preferences: History", "Dietary restrictions: Vegetarian", "Type of accommodation: Guesthouse", and "Transportation: Bus".

[0818] - User B enters "Purpose of trip: relaxation", "Budget: 80,000 yen", "Preferences: nature", "Dietary restrictions: none", "Type of accommodation: resort hotel", and "Method of transportation: taxi". The emotion engine also recognizes each user's emotional state.

[0819] 2. Sending survey and sentiment data:

[0820] - The device sends each user's data to the server.

[0821] 3. Plan Generation:

[0822] - The server analyzes the data and generates a balanced travel plan for Kyoto, taking into account commonalities and emotional states. For example, it prioritizes a plan that satisfies both User A, who has a strong interest in history, and User B, who is interested in nature.

[0823] 4. Creating a short movie:

[0824] - The server will create a short movie including Kyoto's historical spots, relaxing Arashiyama, vegetarian restaurants, resort hotels and guesthouses.

[0825] 5. Submit your plan and short film:

[0826] - The server sends it to the device and each user confirms it.

[0827] 6. Real-time plan adjustments

[0828] If a user needs to make a sudden change to their travel plans, they can send the change request to the server via their device. The server then analyzes the change request and emotion data, generates a new travel plan in real time, and sends the new plan and a short video to the device.

[0829] 7. Gathering and Recalibrating Emotional Feedback

[0830] The emotion engine monitors and collects the user's emotions as feedback during the display of the itinerary and short movie. The server can analyze this emotional feedback and adjust the itinerary as needed.

[0831] As described above, the present invention is a system that provides flexible and detailed travel plans tailored to the user's travel needs and emotional state, and promotes visually specific images. By combining it with an emotion engine, the user experience can be further improved.

[0832] The processing flow will be explained below.

[0833] Step 1:

[0834] The device displays a questionnaire screen that allows users to enter information necessary for planning their trip, including questions about the purpose of the trip, budget, preferences, dietary restrictions, type of accommodation, and mode of transportation.

[0835] Step 2:

[0836] The user answers each question displayed on the questionnaire screen and enters it into the terminal.

[0837] Step 3:

[0838] The emotion engine analyzes the user's facial expressions and voice while filling out the questionnaire and recognizes the user's emotional state (e.g., joy, excitement, anxiety, etc.).

[0839] Step 4:

[0840] The terminal packetizes the questionnaire data entered by the user and the emotion data recognized by the emotion engine and prepares for transmission.

[0841] Step 5:

[0842] The terminal transmits packetized questionnaire data and emotion data to the server.

[0843] Step 6:

[0844] The server receives the submitted questionnaire data and emotion data and begins the analysis process.

[0845] Step 7:

[0846] The server inputs the received survey data and emotional data into the AI ​​model and performs data analysis. This analysis includes selecting the user's travel destination, recommending activities, selecting accommodations, recommending restaurants, etc. For example, if a user responds with excitement to a specific question, the model will suggest a plan that takes that interest into account.

[0847] Step 8:

[0848] The server generates the optimal travel plan for the user based on the analysis results.

[0849] Step 9:

[0850] The server generates a visual short movie based on the generated travel plan, which includes footage of selected tourist spots, accommodations, activities, restaurants, etc.

[0851] Step 10:

[0852] The server packetizes the generated itinerary and short movie and prepares it for transmission.

[0853] Step 11:

[0854] The server transmits the packetized travel plan and short movie to the terminal.

[0855] Step 12:

[0856] The device displays the received travel plan and short movie to the user.

[0857] Step 13:

[0858] The user checks the displayed travel plan and short movie and enters feedback as necessary.

[0859] Step 14:

[0860] The emotion engine monitors the user's emotions during this confirmation and collects emotion data as feedback.

[0861] Step 15:

[0862] The terminal repackets the feedback and emotion data input by the user and prepares to send it to the server.

[0863] Step 16:

[0864] The terminal transmits packetized feedback and emotion data to the server.

[0865] Step 17:

[0866] The server analyzes the received feedback and emotion data to identify recalibration points.

[0867] Step 18:

[0868] The server takes into account the realignment points and generates a new itinerary.

[0869] Step 19:

[0870] The server generates the short movie again based on the new travel plan.

[0871] Step 20:

[0872] The server packetizes the new travel plan and the short movie and transmits them to the terminal.

[0873] Step 21:

[0874] The terminal displays the new travel plan and short movie received again to the user, prompting for final confirmation.

[0875] Step 22:

[0876] Users review the newly proposed travel plans and short videos and make a final decision.

[0877] Step 23:

[0878] If a user has a sudden change in plans during a trip, the user sends a change request to the server via the terminal.

[0879] Step 24:

[0880] The server analyzes the received change requests and emotion data and generates a new travel plan in real time.

[0881] Step 25:

[0882] The server packetizes the generated new travel plan and short movie and transmits them to the terminal.

[0883] Step 26:

[0884] The terminal displays the retransmitted new travel plan and short movie to the user for confirmation.

[0885] Example 2

[0886] 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."

[0887] While conventional travel planning systems can reflect a user's basic needs and desires, they are unable to provide an optimal plan that takes into account the user's emotional state. Furthermore, when changes are made in real time during a trip, it is difficult to generate a new plan that reflects the user's current emotional state. For this reason, there is a need for a system that can provide specific and flexible travel plans that increase user satisfaction.

[0888] The specification process by the specification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes means for collecting travel-related questionnaire information from users, means for analyzing the questionnaire information to generate an optimal travel plan, means for recognizing the user's emotional state in real time, means for generating a travel plan based on the questionnaire information and emotional state information, means for generating a short movie that provides a visual image based on the travel plan, and means for transmitting the travel plan and short movie to the user terminal. This makes it possible to provide an appropriate travel plan that reflects the user's emotional state, facilitates plan revision in real time, and improves the user experience.

[0889] "User" refers to a person who uses the system to generate a travel plan.

[0890] "Survey Information" means data regarding travel purpose, budget, preferences, dietary restrictions, type of accommodation, and mode of transportation that you enter to plan your trip.

[0891] "Emotional state" refers to the psychological reactions and emotions that are analyzed in real time from the user's facial expressions and voice.

[0892] "Server" refers to a central processing unit that receives questionnaire information and emotional state information, generates a travel plan based on the information, and transmits it.

[0893] An "emotion engine" refers to software or hardware that analyzes a user's facial expressions and voice in real time and recognizes their emotional state.

[0894] The "optimal travel plan" refers to the travel plan that is most suitable for the user, generated based on the user's survey information and emotional state.

[0895] A "short movie" refers to a short video that visually explains the contents of a generated travel plan.

[0896] "User terminal" refers to the electronic device used to input survey information and display the generated travel plan and short movie.

[0897] This invention relates to a system that provides users with optimized travel plans, combining an emotion engine that recognizes the user's emotions and proposing travel plans that correspond to the user's needs and emotional state. This system is composed of a user terminal, a server, and a network that connects them.

[0898] Survey information collection and emotion recognition

[0899] The device displays a questionnaire screen for the user to enter the information necessary for planning a trip. The questionnaire includes questions about the purpose of the trip, budget, preferences, dietary restrictions, type of accommodation, and mode of transportation. The user answers each question and enters the information into the device. Meanwhile, the emotion engine analyzes the user's facial expressions and voice to recognize the user's emotional state (e.g., excitement, joy, surprise, displeasure, etc.) in real time.

[0900] Sending survey and sentiment data

[0901] The device then packets the questionnaire data entered by the user and the emotional data recognized by the emotion engine and transmits them to the server, allowing the server to grasp not only the user's needs but also their emotional state.

[0902] Data analysis and travel plan generation

[0903] The server inputs the received survey data and emotional data into a generative AI model, analyzes the data, and generates the optimal travel plan for the user. This analysis takes into account not only the survey information but also the user's emotional state. For example, if the user responds to a particular question with excitement or joy, the travel plan can include something that reflects that.

[0904] Creating a short movie

[0905] The server then generates a short movie based on the generated travel plan to help users visualize the plan. This short movie includes footage of selected tourist spots, accommodations, activities, restaurants, etc.

[0906] Submit your plan and short movie

[0907] The server packetizes the generated itinerary and short movie and prepares it for transmission. The terminal receives this data and displays it to the user.

[0908] Specific use cases

[0909] Example 1: Single user

[0910] 1. Survey information collection and emotion recognition:

[0911] - The user inputs information such as "Purpose of trip: sightseeing," "Budget: 100,000 yen," "Preferences: nature," "Dietary restrictions: none," "Type of accommodation: resort hotel," and "Method of transportation: train" into the device. The emotion engine recognizes the user's emotions in response to this information.

[0912] 2. Sending survey and sentiment data:

[0913] - The device transmits the survey data and emotion data.

[0914] 3. Plan Generation:

[0915] - The server analyzes the data and generates a sightseeing plan for, for example, Hakone. If the user expresses a strong interest in nature, the server will suggest a plan that emphasizes that interest.

[0916] 4. Creating a short movie:

[0917] - The server creates short movies about Hakone's tourist attractions, activities, and resort hotels.

[0918] 5. Submit your plan and short film:

[0919] - The server sends it to the device and the user confirms it.

[0920] Example 2: Multiple users

[0921] 1. Survey information collection and emotion recognition:

[0922] - User A enters "Purpose of travel: Cultural experience", "Budget: 70,000 yen", "Preferences: History", "Dietary restrictions: Vegetarian", "Type of accommodation: Guesthouse", and "Transportation: Bus".

[0923] - User B enters "Purpose of trip: relaxation", "Budget: 80,000 yen", "Preferences: nature", "Dietary restrictions: none", "Type of accommodation: resort hotel", and "Method of transportation: taxi". The emotion engine also recognizes each user's emotional state.

[0924] 2. Sending survey and sentiment data:

[0925] - The device sends each user's data to the server.

[0926] 3. Plan Generation:

[0927] - The server analyzes the data and generates a balanced travel plan for Kyoto, taking into account commonalities and emotional states. For example, it prioritizes a plan that satisfies both User A, who has a strong interest in history, and User B, who is interested in nature.

[0928] 4. Creating a short movie:

[0929] - The server will create a short movie including Kyoto's historical spots, relaxing Arashiyama, vegetarian restaurants, resort hotels and guesthouses.

[0930] 5. Submit your plan and short film:

[0931] - The server sends it to the device and each user confirms it.

[0932] Real-time plan adjustments

[0933] If a user needs to make a sudden change to their travel plans, they can send the change request to the server via their device. The server then analyzes the change request and emotion data, generates a new travel plan in real time, and sends the new plan and a short video to the device.

[0934] Collecting and Recalibrating Emotional Feedback

[0935] The emotion engine monitors and collects the user's emotions as feedback during the display of the itinerary and short movie. The server can analyze this emotional feedback and adjust the itinerary as needed.

[0936] Prompt Sentence Examples

[0937] Generate optimal travel plans based on information such as "sightseeing," "budget: 100,000 yen," "preferences: nature," "dietary restrictions: none," "type of accommodation: resort hotel," and "transportation: train," and incorporate related sentiment data into your plans.

[0938] By implementing the present invention in accordance with the above aspects, it is possible to provide flexible travel plans that precisely reflect the user's needs and emotional state. By using an emotion engine, a more personalized and satisfying travel experience can be realized.

[0939] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0940] Step 1: Collect survey information

[0941] The device displays a questionnaire screen for the user to enter the information necessary for planning a trip, such as the purpose of the trip, budget, preferences, dietary restrictions, type of accommodation, and mode of transportation. The entered data is saved on the device as survey information.

[0942] input:

[0943] Purpose of trip (e.g. sightseeing)

[0944] Budget (e.g. 100,000 yen)

[0945] Preferences (e.g., nature)

[0946] Dietary restrictions (e.g. none)

[0947] Type of accommodation (e.g. resort hotel)

[0948] Transportation (e.g. train)

[0949] output:

[0950] Survey information data (JSON format, etc.)

[0951] Step 2: Emotion Recognition

[0952] The emotion engine analyzes the user's facial expressions and voice in real time using the device's camera and microphone. The analyzed emotional state is captured as emotional data. For example, when a user types "nature," the emotion (excitement, joy, etc.) is recognized.

[0953] input:

[0954] User facial expression data

[0955] User voice data

[0956] output:

[0957] Emotion data (emotion labels such as excitement, joy, etc.)

[0958] Step 3: Send survey and sentiment data

[0959] The terminal then packetizes the collected questionnaire information and emotion data and transmits them to the server using a network communication protocol.

[0960] input:

[0961] Survey information data

[0962] Emotional Data

[0963] output:

[0964] Packetized data sent to the server

[0965] Step 4: Receiving and analyzing data

[0966] The server receives the survey information and emotion data sent from the device. Then, this data is input into the generative AI model for analysis. The server generates the optimal travel plan for the user based on the received data.

[0967] input:

[0968] Survey information data sent from the device

[0969] Emotional Data

[0970] output:

[0971] Travel plans as analysis results

[0972] Step 5: Create a short movie

[0973] The server then generates a short movie based on the generated travel plan, which allows users to visualize the plan visually. The short movie includes footage of selected tourist spots, accommodations, activities, restaurants, etc. Video editing software is used.

[0974] input:

[0975] Travel Planner

[0976] output:

[0977] Short Movie

[0978] Step 6: Submit your plan and short movie

[0979] The server packetizes the generated travel plan and short movie and transmits them to the terminal, which receives the data and displays it to the user.

[0980] input:

[0981] Travel Planner

[0982] Short Movie

[0983] output:

[0984] Data sent to the device

[0985] Step 7: Real-time plan adjustments

[0986] If a user needs to make a sudden change to their travel plans, they can send the change request to the server via their device. The server then analyzes the request and their current emotion data, generates a new travel plan in real time, and sends the new plan and a short video to the device.

[0987] input:

[0988] Change requests (new travel purpose, budget, etc.)

[0989] Current Emotion Data

[0990] output:

[0991] New travel plans

[0992] New short movie

[0993] Step 8: Gather and recalibrate emotional feedback

[0994] The emotion engine monitors the user's emotions while viewing the itinerary and short movie, and collects them as feedback. The server analyzes this emotion feedback and adjusts the itinerary as needed.

[0995] input:

[0996] User emotional feedback data

[0997] output:

[0998] Reworked travel plans

[0999] (Application example 2)

[1000] 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."

[1001] Conventional travel plan generation systems only provide plans based on the user's basic needs and requests, but are unable to provide plans that take into account the user's emotional state. As a result, plans that do not match the user's emotions or mood are sometimes proposed, making it difficult to improve the user experience. It is also difficult to provide flexible plans that take into account sudden changes during the trip and each user's emotional state in real time.

[1002] 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.

[1003] In this invention, the server includes means for collecting travel-related questionnaire information from users, means for analyzing the questionnaire information and emotion data generated by an emotion recognition engine to generate an optimal travel plan, and means for proposing optimal content based on the travel plan and the user's emotional state, thereby enabling the server to propose travel plans and appropriate content that reflect the user's emotional state.

[1004] A "travel plan" is a plan that suggests a travel itinerary suitable for the user based on the user's survey information and emotional data.

[1005] "Survey Information" refers to information collected from users regarding their travel purpose, budget, preferences, dietary restrictions, type of accommodation, and mode of transportation.

[1006] An "emotion recognition engine" is a system that recognizes a user's emotional state in real time by analyzing their facial expressions and voice.

[1007] "Emotion data" is data that indicates the emotional state of a user, generated by an emotion recognition engine.

[1008] A "short movie" is a short video created to give a visual image of a travel plan.

[1009] A "user device" is an electronic device (such as a smartphone or tablet) that a user uses to enter survey information and view suggested travel plans and short movies.

[1010] "Content" refers to information media such as music, videos, articles, etc. that are suggested based on the user's emotional state.

[1011] "Analysis" refers to the computational process of receiving survey information and emotion data and generating travel plans and optimal content based on them.

[1012] "Commonalities" are elements that are the same or similar in the survey information or emotional data of multiple users.

[1013] This invention relates to a system that provides travel plans based on a user's needs and emotional state. The system consists of a user terminal, a server, and a network that connects them. The user terminal is an electronic device such as a smartphone or tablet, and the server uses a cloud environment or a dedicated server.

[1014] Collecting survey information and sentiment data

[1015] The device displays a questionnaire screen where users can enter the information necessary for planning their trip. The questionnaire includes questions about the purpose of the trip, budget, preferences, dietary restrictions, type of accommodation, and mode of transportation. An emotion recognition engine also analyzes the user's facial expressions and voice to recognize emotional data in real time. This makes it possible to generate a travel plan that reflects the user's feelings.

[1016] Data transmission and analysis

[1017] The device sends the questionnaire data and emotional data entered by the user to the server. The server inputs the received data into the AI ​​model for analysis. The AI ​​model generates an optimal travel plan based on the user's needs and emotional state. This plan includes the best sightseeing spots, accommodations, activities, etc. based on the user's interests.

[1018] Short movie generation

[1019] The server then creates a short movie based on the generated travel plan, which includes footage of selected tourist spots, accommodations, activities, restaurants, etc., allowing users to visually visualize the trip.

[1020] Submit your plan and short movie

[1021] The server sends the generated travel plan and short movie to the user's terminal, which receives the data and displays it to the user. The user can then decide on the details of their trip based on the information they have confirmed.

[1022] Specific examples

[1023] For example, if a user enters information such as "Purpose of trip: sightseeing," "Budget: 100,000 yen," "Preferences: nature," "Dietary restrictions: none," "Type of accommodation: resort hotel," and "Method of transportation: train," and the emotion recognition engine recognizes the user's excitement, the system will provide a travel plan focusing on the keyword "nature."The short movie also includes footage of Hakone's tourist spots, activities, and resort hotels.

[1024] Prompt Sentence Examples

[1025] "We want to suggest the best content for users who express the emotion of joy. What kind of music and videos are suitable for joy?"

[1026] In this way, the present invention provides a system that provides travel plans and related content that reflects the user's needs and emotional state in real time. The combination of an AI model and an emotion recognition engine enables a more personalized user experience.

[1027] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1028] Step 1:

[1029] Users enter information necessary for planning a trip into the terminal, such as the purpose of the trip, budget, preferences, dietary restrictions, type of accommodation, and mode of transportation.

[1030] Input: Travel survey information entered by the user.

[1031] Output: Collected survey information.

[1032] Specific operation: The user enters the required information into the form displayed on the device screen and presses the "Submit" button.

[1033] Step 2:

[1034] The device uses an emotion recognition engine that analyzes the user's facial expressions and voice to recognize their emotional state in real time.

[1035] Input: User's facial and voice data.

[1036] Output: Recognized emotion data.

[1037] Specific operation: The device's camera and microphone are used to capture the user's facial expressions and voice, which are then analyzed by the emotion recognition engine to generate emotion data.

[1038] Step 3:

[1039] The terminal transmits the questionnaire information and emotion data to the server.

[1040] Input: Survey information and sentiment data.

[1041] Output: Survey information and sentiment data sent to the server.

[1042] Specific operation: The terminal packets the survey information and emotion data and sends them to the server via the network.

[1043] Step 4:

[1044] The server inputs the survey information and emotional data it receives into the AI ​​model and performs data analysis.

[1045] Input: Survey information and sentiment data.

[1046] Output: Optimal travel plan.

[1047] How it works: The server uses the AI ​​model to generate a travel plan that takes into account the user's needs and emotional state, including selecting appropriate tourist destinations, accommodations, activities, etc. from a database.

[1048] Step 5:

[1049] Based on the travel plan generated by the server, a short movie that can be visualized visually is created.

[1050] Input: The generated itinerary.

[1051] Output: Short movie.

[1052] Specific operation: The server combines video footage of designated tourist spots, accommodations, and activities to generate a short movie that visually appeals to the user.

[1053] Step 6:

[1054] The server transmits the generated travel plan and short movie to the user terminal.

[1055] Input: travel plans and short movies.

[1056] Output: The itinerary and short movie sent to the user's device.

[1057] Specific operation: The server packetizes the travel plan and short movie and sends them to the user's terminal via the network.

[1058] Step 7:

[1059] The user checks the travel plan and short movie displayed on the device.

[1060] Input: A travel plan and a short movie displayed on the user's device.

[1061] Output: User confirmation and decision.

[1062] Specific operation: The user checks the travel plan and short movie displayed on the device screen, and requests changes or decides on the plan if necessary.

[1063] Step 8:

[1064] If a user has a sudden change in plans while traveling, the user sends a change request to the server via the terminal.

[1065] Input: Request for mid-trip rescheduling.

[1066] Output: The change request sent to the server.

[1067] Specific operation: The user inputs a change request on the terminal and presses the send button. The terminal sends the change request to the server.

[1068] Step 9:

[1069] The server analyzes the change request and emotion data it receives, generates a new travel plan in real time, and sends it to the terminal.

[1070] Input: Change request and sentiment data.

[1071] Output: New travel plans.

[1072] Specific operation: The server again uses the AI ​​model to generate a new travel plan based on the change request and sends it to the device.

[1073] As described above, the present invention is divided into multiple steps, and the specific processing content and flow of each step are explained in detail, making it possible to generate an optimal travel plan that matches the user's needs and emotional state.

[1074] 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.

[1075] 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.

[1076] 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.

[1077] [Third embodiment]

[1078] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[1079] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[1080] 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).

[1081] 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.

[1082] 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.

[1083] 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).

[1084] 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.

[1085] 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.

[1086] 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.

[1087] 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.

[1088] 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.

[1089] 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."

[1090] The present invention relates to a system for proposing travel plans optimized for individual travel needs. The system is composed of a user terminal, a server, and a network for exchanging information between them.

[1091] 1. Collection of survey information

[1092] The device displays a questionnaire screen where the user can enter the necessary information for their trip planning. The questionnaire includes questions about the purpose of the trip, budget, preferences, dietary restrictions, type of accommodation, mode of transportation, etc. The user answers each question and enters the information into the device.

[1093] 2. Sending survey data

[1094] The terminal packetizes the questionnaire data entered by the user and transmits it to the server via the network.

[1095] 3. Analysis of survey data and plan generation

[1096] The server inputs the received survey data into an AI model and analyzes the data to generate the optimal travel plan for the user. The analysis process involves understanding the survey information and selecting travel destinations, activities, accommodations, restaurants, etc.

[1097] 4. Creating a short movie

[1098] The server then generates a short movie based on the generated travel plan to help users visualize the plan. This short movie includes footage of tourist spots, accommodations, restaurants, and other attractions in the selected travel destination.

[1099] 5. Submit your plan and short movie

[1100] The server sends the generated travel plan and short movie to the user's terminal, which displays the received plan and short movie to the user.

[1101] Example 1: Single user

[1102] 1. Survey Information Collection:

[1103] The user enters information such as "Purpose of trip: sightseeing," "Budget: 100,000 yen," "Preferences: nature," "Dietary restrictions: none," "Type of accommodation: resort hotel," and "Method of transportation: train" into the device.

[1104] 2. Sending survey data:

[1105] The terminal sends input data.

[1106] 3. Plan Generation:

[1107] The server performs the analysis and generates a sightseeing plan for, for example, Hakone.

[1108] 4. Creating a short movie:

[1109] The server creates short movies about Hakone's tourist attractions, activities, and resort hotels.

[1110] 5. Submit your plan and short film:

[1111] The server sends it to the terminal and the user confirms it.

[1112] Example 2: Multiple users

[1113] 1. Survey Information Collection:

[1114] User A enters "Purpose of travel: Cultural experience", "Budget: 70,000 yen", "Preferences: History", "Dietary restrictions: Vegetarian", "Type of accommodation: Guesthouse", and "Means of transportation: Bus".

[1115] User B enters "Purpose of trip: relaxation", "Budget: 80,000 yen", "Preferences: nature", "Dietary restrictions: none", "Type of accommodation: resort hotel", and "Method of transportation: taxi".

[1116] 2. Sending survey data:

[1117] The device sends each user's data to the server.

[1118] 3. Plan Generation:

[1119] The server performs the analysis, takes into account commonalities, and generates a balanced travel plan for "Kyoto."

[1120] 4. Creating a short movie:

[1121] The server will create a short movie that includes Kyoto's historical spots, relaxing Arashiyama, vegetarian restaurants, resort hotels and guesthouses.

[1122] 5. Submit your plan and short film:

[1123] The server sends it to the terminal and each user confirms it.

[1124] 6. Real-time plan adjustments

[1125] If a user needs to make a sudden change to their travel plans, they can send a request for the change to the server via their device. The server then analyzes the request, generates a new travel plan in real time, and sends the new plan and a short video to the device.

[1126] This allows users to flexibly respond to changes during their trip and enjoy their trip without stress.

[1127] As described above, the present invention is a system that provides flexible and detailed plans according to the user's travel needs, and further promotes concrete images through visual short movies.

[1128] The processing flow will be explained below.

[1129] Step 1:

[1130] The device displays a questionnaire screen where users can enter information necessary for planning their trip, such as the purpose of their trip, budget, preferences, dietary restrictions, type of accommodation, and mode of transportation.

[1131] Step 2:

[1132] The user answers the questions displayed on the questionnaire screen and enters the information into the terminal.

[1133] Step 3:

[1134] The terminal packetizes the questionnaire data entered by the user and prepares it for transmission. After checking that there are no errors, the data is sent to the server.

[1135] Step 4:

[1136] The server receives the submitted survey data and begins the analysis process.

[1137] Step 5:

[1138] The server inputs the received survey data into the AI ​​model and performs data analysis, which includes selecting the user's destination, recommending activities, selecting accommodations, and recommending restaurants.

[1139] Step 6:

[1140] The server generates the optimal travel plan for the user based on the results of the above analysis.

[1141] Step 7:

[1142] The server generates a visual short movie based on the generated travel plan, which includes footage of selected tourist spots, accommodations, activities, restaurants, etc.

[1143] Step 8:

[1144] The server packetizes the generated travel plan and short movie and prepares it for transmission.

[1145] Step 9:

[1146] The server transmits the packetized data to the terminal.

[1147] Step 10:

[1148] The device displays the received travel plan and short movie to the user.

[1149] Step 11:

[1150] The user checks the displayed travel plan and short movie and enters any feedback they may need.

[1151] Step 12:

[1152] The terminal sends feedback of the user input to the server.

[1153] Step 13:

[1154] The server analyzes the received feedback and identifies realignment points.

[1155] Step 14:

[1156] The server generates a new travel plan that reflects the readjustment points and creates a new short movie.

[1157] Step 15:

[1158] The server transmits the generated new travel plan and short movie to the terminal.

[1159] Step 16:

[1160] The terminal displays the re-sent travel plan and short movie to the user, prompting them to confirm and make a final decision.

[1161] Step 17:

[1162] If a user has a sudden change in plans during a trip, the user sends a change request to the server via the terminal.

[1163] Step 18:

[1164] The server analyzes the received change request and generates a new travel plan in real time according to the situation.

[1165] Step 19:

[1166] The server transmits the generated new travel plan and short movie to the terminal.

[1167] Step 20:

[1168] The terminal displays the retransmitted new travel plan and short movie to the user for confirmation.

[1169] Example 1

[1170] 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."

[1171] Conventional travel plan suggestion systems have difficulty automatically generating optimal plans that meet the user's travel needs. Furthermore, they lack a mechanism for quickly responding to requests for changes in the travel plan, making it difficult to revise the plan in real time. As a result, users are unable to flexibly respond to changes in the situation during their trip, which can lead to an unsatisfactory travel experience. Furthermore, the lack of visual information makes it difficult for users to visualize the plan in concrete terms.

[1172] 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.

[1173] In this invention, the server includes means for collecting travel-related questionnaire information from users, means for packetizing the questionnaire information and transmitting it to the server via a network, means for analyzing the questionnaire information and generating an optimal travel plan using a processor and a generative AI model, means for generating a short movie that provides a visual image based on the travel plan, means for transmitting the travel plan and the short movie to a user terminal, and means for modifying the travel plan in real time based on changes requested by the user. This allows for automatic generation of a travel plan optimized to the user's needs, enabling flexible response, and allowing the user to visualize the plan concretely by providing visual information.

[1174] "Survey Information" refers to data entered by a user as information necessary for travel planning, including the purpose of the trip, budget, preferences, dietary restrictions, type of accommodation, and means of transportation.

[1175] "Packetization" is the process of converting information entered by a user into a specific data format (for example, JSON format) so that it can be sent over a network.

[1176] "Plan generation" is the process of analyzing collected survey information and using AI models and processors to create the optimal travel plan for the user.

[1177] "Short movie generation" is the process of creating a short video to provide a visual image based on the generated travel plan. The video includes information on travel destinations, accommodations, restaurants, etc.

[1178] "Real-time plan modification" is a process that immediately reflects changes to plans that occur during a trip in response to a change request from the user, and generates a new travel plan and short movie.

[1179] A "generative AI model" is an artificial intelligence algorithm used for data analysis and travel plan generation, proposing the optimal plan based on the survey information entered by the user.

[1180] The "network" is the infrastructure that connects user terminals to the server and sends and receives data such as survey information, generated plans, and short movies.

[1181] The present invention relates to a system that proposes travel plans optimized to a user's travel needs. The system is composed of a user terminal, a server, and a network that exchanges information between them.

[1182] Hardware and Software Configuration

[1183] The terminal is a device such as a computer or smartphone used by the user, and provides an application or browser interface for collecting survey information and sending it to the server.

[1184] The server is a high-performance computer system that analyzes survey information, generates travel plans, and creates short movies. The server also contains a database management system, generative AI models, and multimedia editing software (e.g., FFmpeg).

[1185] The network is an internet line that connects user terminals and servers.

[1186] System Operation

[1187] 1. Collection of survey information

[1188] The device displays a questionnaire screen where the user can enter the necessary information for their trip planning. The questionnaire includes questions about the purpose of the trip, budget, preferences, dietary restrictions, type of accommodation, mode of transportation, etc. The user answers each question and enters the information into the device.

[1189] 2. Sending survey data

[1190] The terminal converts the survey data entered by the user into packets in JSON format or similar and sends them to the server via the network. This operation uses an HTTP POST request.

[1191] 3. Analysis of survey data and plan generation

[1192] The server inputs the received survey data into a generative AI model, analyzes the data, and generates the optimal travel plan for the user. This analysis includes the process of understanding the survey information and selecting travel destinations, activities, accommodations, restaurants, etc.

[1193] 4. Creating a short movie

[1194] The server then generates a short movie based on the generated travel plan to help users visualize the plan. This short movie includes footage of the tourist spots, accommodations, restaurants, etc. of the selected travel destination. Video editing software such as FFmpeg and Adobe Premiere Pro is used to create the short movie.

[1195] 5. Submit your plan and short movie

[1196] The server sends the generated travel plan and short movie to the user's terminal, which displays the received plan and short movie to the user.

[1197] 6. Real-time plan adjustments

[1198] If a user's plans suddenly change during their trip, they can send a change request to the server via their device. The server analyzes the request, generates a new travel plan in real time, and sends the new plan and a short movie to the device. This allows users to flexibly respond to changes during their trip and enjoy a stress-free trip.

[1199] Specific examples

[1200] As a specific example, consider a case where a user enters information such as "Purpose of trip: sightseeing," "Budget: 100,000 yen," "Preferences: nature," "Dietary restrictions: none," "Type of accommodation: resort hotel," and "Means of transportation: train."

[1201] 1. Survey Information Collection:

[1202] The user enters information such as "Purpose of trip: sightseeing," "Budget: 100,000 yen," "Preferences: nature," "Dietary restrictions: none," "Type of accommodation: resort hotel," and "Method of transportation: train" into the device.

[1203] 2. Sending survey data:

[1204] The terminal transmits these input data to the server.

[1205] 3. Plan Generation:

[1206] The server analyzes the data and generates a sightseeing plan for, for example, Hakone.

[1207] 4. Creating a short movie:

[1208] The server creates short movies about Hakone's tourist attractions, activities, and resort hotels.

[1209] 5. Submit your plan and short film:

[1210] The server sends this to the terminal and the user confirms it.

[1211] Prompt Sentence Examples

[1212] Here is an example of a prompt that the user might enter:

[1213] "Purpose of trip: sightseeing"

[1214] "Budget: 100,000 yen"

[1215] "Preference: Nature"

[1216] "Dietary restrictions: None"

[1217] "Type of accommodation: Resort hotel"

[1218] "Transportation means: train"

[1219] As described above, the present invention is a system that provides flexible and detailed plans according to the user's travel needs, and further promotes concrete images through visual short movies.

[1220] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1221] Step 1: Collect survey information

[1222] The terminal displays a questionnaire screen for the user to enter travel-related information. This screen includes questions about the purpose of the trip, budget, preferences, dietary restrictions, type of accommodation, and mode of transportation. The user answers each question and enters the information into the terminal. The following prompt sentence is obtained as input data:

[1223] "Purpose of trip: sightseeing"

[1224] "Budget: 100,000 yen"

[1225] "Preference: Nature"

[1226] "Dietary restrictions: None"

[1227] "Type of accommodation: Resort hotel"

[1228] "Transportation means: train"

[1229] Specific actions

[1230] The device places the entered data into a form that is displayed in the browser or application. When the user has finished entering the information, they press a confirm button to confirm the data.

[1231] Step 2: Submit your survey data

[1232] The terminal converts the survey data entered by the user into packets in JSON format, etc., and then sends them to a server via the Internet. The input data is the user's survey information, and the output data is the packet sent to the server.

[1233] Specific actions

[1234] The device sends packetized data to the specified API endpoint using an HTTP POST request, and the server receives the request and responds with a status code of 200 (success).

[1235] Step 3: Receiving and analyzing survey data

[1236] The server receives data packets sent over the network, analyzes the received survey data, and uses a generative AI model to generate an optimal travel plan for the user. The input data is the survey information sent from the device, and the output data is the optimal travel plan that is the result of the analysis.

[1237] Specific actions

[1238] The server decodes the received survey data and inputs it into a generative AI model. The AI ​​model selects the optimal travel plan based on the user's preferences and conditions. For example, it would suggest a sightseeing plan for "Hakone" to a user who likes "nature."

[1239] Step 4: Generate a short movie

[1240] The server generates a short movie based on the generated travel plan to help users visualize the plan. This short movie includes footage of tourist spots, accommodations, restaurants, etc. in the selected travel destination. The input data is the generated travel plan, and the output data is the short movie.

[1241] Specific actions

[1242] The server collects videos and images of selected travel destinations and facilities from the database, and edits the collected media files using video editing software (e.g., FFmpeg) to create short movies of 1 to 3 minutes.

[1243] Step 5: Submit your plan and short movie

[1244] The server transmits the generated travel plan and short movie to the user terminal. The input data are the travel plan and short movie, and the output data are packets sent to the terminal.

[1245] Specific actions

[1246] The server compresses the travel plan and short movie into a ZIP file and sends it to the device using an HTTP request. The device unpacks the received packet and displays the plan and movie to the user in the application.

[1247] Step 6: Real-time plan adjustments

[1248] If a sudden change in plans occurs during a trip, the user sends a change request to the server via their device. The server analyzes the received change request, generates a new travel plan in real time, and sends the new plan and a short movie to the device. The input data is the change request, and the output data is the new travel plan and a short movie.

[1249] Specific actions

[1250] When the server receives the change request, it inputs the new conditions into the generative AI model and quickly generates a new plan, then quickly edits the short movie based on the new plan and sends it back to the device.

[1251] (Application example 1)

[1252] 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."

[1253] There is a need for a method to meet the diverse travel needs of users and provide optimal travel plans tailored to their individual requests. In particular, there is a lack of systems that can accommodate cases where users have different preferences and conditions, or when multiple people are traveling together. Another challenge is providing users with a visually concrete image that makes it easy to understand the travel plan and increases their satisfaction.

[1254] 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.

[1255] In this invention, the server includes means for collecting travel-related questionnaire information from users, means for analyzing the questionnaire information to generate an optimal travel plan, means for generating a short movie that provides a visual image based on the travel plan, means for transmitting the travel plan and the short movie to a user terminal, means for packetizing the questionnaire data entered by the user and transmitting the packetized data to the server via a network, and means for inputting the questionnaire data received by the server into a generative AI model, analyzing the data to generate a travel plan, and generating a short movie based on the plan. This makes it possible to provide an optimized travel plan for each user and provide specific suggestions using visual images.

[1256] "User" means a user who receives a travel plan proposal.

[1257] "Survey Information" refers to information entered by a user to plan a trip, such as travel purpose, budget, preferences, dietary restrictions, type of accommodation, and mode of transportation.

[1258] The "server" is a computer system that analyzes the received questionnaire data, generates a travel plan and a short movie, and sends them to the user.

[1259] A "travel plan" is a proposal for the most suitable trip for the user, generated based on the survey information.

[1260] A "short movie" is a short video that helps users visualize the generated travel plan.

[1261] "User terminal" refers to an electronic device on which a user inputs survey information and receives the generated travel plan and short movie.

[1262] "Network" means a digital communications system for communicating data between user terminals and a server.

[1263] A "generative AI model" is an artificial intelligence algorithm that analyzes survey information and generates optimal travel plans.

[1264] "Packetization" refers to the data processing that divides the survey data entered by the user into small data blocks and sends them to the server over the network.

[1265] This invention is a system that proposes travel plans optimized to the user's travel needs, and is composed of a user terminal, a server, and a network that exchanges information between them.

[1266] Users use a questionnaire screen to enter the information necessary for their travel plans. On this questionnaire screen, they enter information such as the purpose of the trip, budget, preferences, dietary restrictions, type of accommodation, and mode of transportation. The information collected through the questionnaire is packetized by the device and sent to a server over the network. The server inputs this information into a generative AI model for analysis. Based on the generated travel plan, the server automatically generates a short movie that allows users to visually visualize the plan. Finally, the travel plan and short movie are sent back over the network to the user's device and displayed to the user.

[1267] The details of the operation are as follows.

[1268] 1. Survey Information Collection:

[1269] The user device displays a questionnaire screen for the user to enter the information necessary for planning a trip. The questionnaire includes questions about the purpose of the trip, budget, preferences, dietary restrictions, type of accommodation, mode of transportation, etc. The user answers each question and enters the information into the device.

[1270] Examples:

[1271] Example prompt sentence:

[1272] Complete our travel planning survey.

[1273] 1. Enter the purpose of your trip: Sightseeing

[1274] 2. Enter your budget: 100,000 yen

[1275] 3. Enter your preference: Nature

[1276] 4. Enter your dietary restrictions: None

[1277] 5. Enter your accommodation type: Resort Hotel

[1278] 6. Please enter your mode of transportation: Train

[1279] 2. Sending survey data:

[1280] The user terminal packets the survey data entered by the user and sends it to the server over the network, using an HTTP library such as the requests library.

[1281] 3. Survey data analysis and plan generation:

[1282] The server inputs the received survey data into a generative AI model, analyzes the data, and generates the optimal travel plan for the user. This analysis includes the process of understanding the survey information and selecting travel destinations, activities, accommodations, restaurants, etc.

[1283] 4. Creating a short movie:

[1284] The server generates a short movie based on the generated travel plan to help users visualize the plan. This short movie includes footage of tourist attractions, accommodations, restaurants, etc. in the selected travel destinations using the moviepy.editor library.

[1285] 5. Submit your plan and short film:

[1286] The server transmits the generated travel plan and short movie to the user terminal, which displays the received plan and short movie to the user.

[1287] Furthermore, if a user's plans suddenly change during their trip, they can send a change request to the server via their device. In this case, the server analyzes the received change request, generates a new travel plan in real time, and sends the new plan and a short movie to the device. This allows users to flexibly respond to changes during their trip and enjoy a stress-free trip.

[1288] As described above, the present invention is a system that provides flexible and detailed plans according to the user's travel needs, and further promotes concrete images through visual short movies.

[1289] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1290] Step 1:

[1291] Users enter information for their travel plans into a questionnaire screen displayed on their device, including the purpose of the trip, budget, preferences, dietary restrictions, type of accommodation, mode of transportation, etc. By entering this information, specific travel requirements are captured digitally.

[1292] Input: Survey information entered by the user

[1293] Output: Survey data in digital format

[1294] Specific operation: The user answers each question on the survey screen on the device, and the device saves the information as digital data.

[1295] Step 2:

[1296] The terminal then packets the survey data entered by the user and sends it over the network to the server, where it is sent as an HTTP request and encrypted if necessary.

[1297] Input: Digital survey data

[1298] Output: Packetized data sent to the server

[1299] Specific operation: The terminal sends data to the server using the requests library, etc.

[1300] Step 3:

[1301] The server inputs the received survey data into the generative AI model, analyzes the data, and generates an optimal travel plan. This analysis process includes selecting travel destinations, activities, accommodations, restaurants, etc. based on the user's requirements.

[1302] Input: Packetized data sent to the server

[1303] Output: Optimal travel plan

[1304] How it works: The server receives the data, and the generative AI model analyzes it to generate a travel plan.

[1305] Step 4:

[1306] The server then generates a short movie based on the generated travel plan, which includes footage of tourist spots, accommodations, restaurants, and other attractions in the selected travel destinations.

[1307] Input: Optimal travel plan

[1308] Output: Short movie

[1309] What it does: The server uses the moviepy.editor library to concatenate video clips based on the travel plan to generate a visually appealing short movie.

[1310] Step 5:

[1311] The server transmits the generated travel plan and short movie to the user terminal.

[1312] Input: Short movie and travel plan

[1313] Output: Data sent to the user's terminal

[1314] Specific operation: The server returns the travel plan and short movie to the user's device as an HTTP request.

[1315] Step 6:

[1316] The user's device displays the received plan and short movie to the user.

[1317] Input: Data sent to the user's terminal

[1318] Output: What is displayed to the user

[1319] Specific operation: The device analyzes the received data and displays a travel plan and a short video to the user.

[1320] 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.

[1321] This invention relates to a system that provides users with optimized travel plans, combining it with an emotion engine that recognizes the user's emotions, to propose more appropriate travel plans according to the user's needs and emotional state. The system consists of a user terminal, a server, and a network that connects them.

[1322] 1. Survey information collection and emotion recognition

[1323] The device displays a questionnaire screen for the user to enter the information necessary for planning a trip. The questionnaire includes questions about the purpose of the trip, budget, preferences, dietary restrictions, type of accommodation, and mode of transportation. The user answers each question and enters the information into the device. Meanwhile, the emotion engine analyzes the user's facial expressions and voice to recognize the user's emotional state (e.g., excitement, joy, surprise, displeasure, etc.) in real time.

[1324] 2. Sending survey data and sentiment data

[1325] The device then packets the questionnaire data entered by the user and the emotional data recognized by the emotion engine and transmits them to the server, allowing the server to grasp not only the user's needs but also their emotional state.

[1326] 3. Data analysis and travel plan generation

[1327] The server inputs the received survey data and emotional data into an AI model, analyzes the data, and generates the optimal travel plan for the user. This analysis takes into account the user's emotional state as well as the survey information. For example, if the user responds with excitement or joy to a particular question, the travel plan can include something that reflects that.

[1328] 4. Creating a short movie

[1329] The server then generates a short movie based on the generated travel plan to help users visualize the plan. This short movie includes footage of selected tourist spots, accommodations, activities, restaurants, etc.

[1330] 5. Submit your plan and short movie

[1331] The server packetizes the generated itinerary and short movie and prepares it for transmission. The terminal receives this data and displays it to the user.

[1332] Example 1: Single user

[1333] 1. Survey information collection and emotion recognition:

[1334] - The user inputs information such as "Purpose of trip: sightseeing," "Budget: 100,000 yen," "Preferences: nature," "Dietary restrictions: none," "Type of accommodation: resort hotel," and "Method of transportation: train" into the device. The emotion engine recognizes the user's emotions in response to this information.

[1335] 2. Sending survey and sentiment data:

[1336] - The device transmits the survey data and emotion data.

[1337] 3. Plan Generation:

[1338] - The server analyzes the data and generates a sightseeing plan for, for example, Hakone. If the user expresses a strong interest in nature, the server will suggest a plan that emphasizes that interest.

[1339] 4. Creating a short movie:

[1340] - The server creates short movies about Hakone's tourist attractions, activities, and resort hotels.

[1341] 5. Submit your plan and short film:

[1342] - The server sends it to the device and the user confirms it.

[1343] Example 2: Multiple users

[1344] 1. Survey information collection and emotion recognition:

[1345] - User A enters "Purpose of travel: Cultural experience", "Budget: 70,000 yen", "Preferences: History", "Dietary restrictions: Vegetarian", "Type of accommodation: Guesthouse", and "Transportation: Bus".

[1346] - User B enters "Purpose of trip: relaxation", "Budget: 80,000 yen", "Preferences: nature", "Dietary restrictions: none", "Type of accommodation: resort hotel", and "Method of transportation: taxi". The emotion engine also recognizes each user's emotional state.

[1347] 2. Sending survey and sentiment data:

[1348] - The device sends each user's data to the server.

[1349] 3. Plan Generation:

[1350] - The server analyzes the data and generates a balanced travel plan for Kyoto, taking into account commonalities and emotional states. For example, it prioritizes a plan that satisfies both User A, who has a strong interest in history, and User B, who is interested in nature.

[1351] 4. Creating a short movie:

[1352] - The server will create a short movie including Kyoto's historical spots, relaxing Arashiyama, vegetarian restaurants, resort hotels and guesthouses.

[1353] 5. Submit your plan and short film:

[1354] - The server sends it to the device and each user confirms it.

[1355] 6. Real-time plan adjustments

[1356] If a user needs to make a sudden change to their travel plans, they can send the change request to the server via their device. The server then analyzes the change request and emotion data, generates a new travel plan in real time, and sends the new plan and a short video to the device.

[1357] 7. Gathering and Recalibrating Emotional Feedback

[1358] The emotion engine monitors and collects the user's emotions as feedback during the display of the itinerary and short movie. The server can analyze this emotional feedback and adjust the itinerary as needed.

[1359] As described above, the present invention is a system that provides flexible and detailed travel plans tailored to the user's travel needs and emotional state, and promotes visually specific images. By combining it with an emotion engine, the user experience can be further improved.

[1360] The processing flow will be explained below.

[1361] Step 1:

[1362] The device displays a questionnaire screen that allows users to enter information necessary for planning their trip, including questions about the purpose of the trip, budget, preferences, dietary restrictions, type of accommodation, and mode of transportation.

[1363] Step 2:

[1364] The user answers each question displayed on the questionnaire screen and enters it into the terminal.

[1365] Step 3:

[1366] The emotion engine analyzes the user's facial expressions and voice while filling out the questionnaire and recognizes the user's emotional state (e.g., joy, excitement, anxiety, etc.).

[1367] Step 4:

[1368] The terminal packetizes the questionnaire data entered by the user and the emotion data recognized by the emotion engine and prepares for transmission.

[1369] Step 5:

[1370] The terminal transmits packetized questionnaire data and emotion data to the server.

[1371] Step 6:

[1372] The server receives the submitted questionnaire data and emotion data and begins the analysis process.

[1373] Step 7:

[1374] The server inputs the received survey data and emotional data into the AI ​​model and performs data analysis. This analysis includes selecting the user's travel destination, recommending activities, selecting accommodations, recommending restaurants, etc. For example, if a user responds with excitement to a specific question, the model will suggest a plan that takes that interest into account.

[1375] Step 8:

[1376] The server generates the optimal travel plan for the user based on the analysis results.

[1377] Step 9:

[1378] The server generates a visual short movie based on the generated travel plan, which includes footage of selected tourist spots, accommodations, activities, restaurants, etc.

[1379] Step 10:

[1380] The server packetizes the generated itinerary and short movie and prepares it for transmission.

[1381] Step 11:

[1382] The server transmits the packetized travel plan and short movie to the terminal.

[1383] Step 12:

[1384] The device displays the received travel plan and short movie to the user.

[1385] Step 13:

[1386] The user checks the displayed travel plan and short movie and enters feedback as necessary.

[1387] Step 14:

[1388] The emotion engine monitors the user's emotions during this confirmation and collects emotion data as feedback.

[1389] Step 15:

[1390] The terminal repackets the feedback and emotion data input by the user and prepares to send it to the server.

[1391] Step 16:

[1392] The terminal transmits packetized feedback and emotion data to the server.

[1393] Step 17:

[1394] The server analyzes the received feedback and emotion data to identify recalibration points.

[1395] Step 18:

[1396] The server takes into account the realignment points and generates a new itinerary.

[1397] Step 19:

[1398] The server generates the short movie again based on the new travel plan.

[1399] Step 20:

[1400] The server packetizes the new travel plan and the short movie and transmits them to the terminal.

[1401] Step 21:

[1402] The terminal displays the new travel plan and short movie received again to the user, prompting for final confirmation.

[1403] Step 22:

[1404] Users review the newly proposed travel plans and short videos and make a final decision.

[1405] Step 23:

[1406] If a user has a sudden change in plans during a trip, the user sends a change request to the server via the terminal.

[1407] Step 24:

[1408] The server analyzes the received change requests and emotion data and generates a new travel plan in real time.

[1409] Step 25:

[1410] The server packetizes the generated new travel plan and short movie and transmits them to the terminal.

[1411] Step 26:

[1412] The terminal displays the retransmitted new travel plan and short movie to the user for confirmation.

[1413] Example 2

[1414] 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."

[1415] While conventional travel planning systems can reflect a user's basic needs and desires, they are unable to provide an optimal plan that takes into account the user's emotional state. Furthermore, when changes are made in real time during a trip, it is difficult to generate a new plan that reflects the user's current emotional state. For this reason, there is a need for a system that can provide specific and flexible travel plans that increase user satisfaction.

[1416] The specification process by the specification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes means for collecting travel-related questionnaire information from users, means for analyzing the questionnaire information to generate an optimal travel plan, means for recognizing the user's emotional state in real time, means for generating a travel plan based on the questionnaire information and emotional state information, means for generating a short movie that provides a visual image based on the travel plan, and means for transmitting the travel plan and short movie to the user terminal. This makes it possible to provide an appropriate travel plan that reflects the user's emotional state, facilitates plan revision in real time, and improves the user experience.

[1417] "User" refers to a person who uses the system to generate a travel plan.

[1418] "Survey Information" means data regarding travel purpose, budget, preferences, dietary restrictions, type of accommodation, and mode of transportation that you enter to plan your trip.

[1419] "Emotional state" refers to the psychological reactions and emotions that are analyzed in real time from the user's facial expressions and voice.

[1420] "Server" refers to a central processing unit that receives questionnaire information and emotional state information, generates a travel plan based on the information, and transmits it.

[1421] An "emotion engine" refers to software or hardware that analyzes a user's facial expressions and voice in real time and recognizes their emotional state.

[1422] The "optimal travel plan" refers to the travel plan that is most suitable for the user, generated based on the user's survey information and emotional state.

[1423] A "short movie" refers to a short video that visually explains the contents of a generated travel plan.

[1424] "User terminal" refers to the electronic device used to input survey information and display the generated travel plan and short movie.

[1425] This invention relates to a system that provides users with optimized travel plans, combining an emotion engine that recognizes the user's emotions and proposing travel plans that correspond to the user's needs and emotional state. This system is composed of a user terminal, a server, and a network that connects them.

[1426] Survey information collection and emotion recognition

[1427] The device displays a questionnaire screen for the user to enter the information necessary for planning a trip. The questionnaire includes questions about the purpose of the trip, budget, preferences, dietary restrictions, type of accommodation, and mode of transportation. The user answers each question and enters the information into the device. Meanwhile, the emotion engine analyzes the user's facial expressions and voice to recognize the user's emotional state (e.g., excitement, joy, surprise, displeasure, etc.) in real time.

[1428] Sending survey and sentiment data

[1429] The device then packets the questionnaire data entered by the user and the emotional data recognized by the emotion engine and transmits them to the server, allowing the server to grasp not only the user's needs but also their emotional state.

[1430] Data analysis and travel plan generation

[1431] The server inputs the received survey data and emotional data into a generative AI model, analyzes the data, and generates the optimal travel plan for the user. This analysis takes into account not only the survey information but also the user's emotional state. For example, if the user responds to a particular question with excitement or joy, the travel plan can include something that reflects that.

[1432] Creating a short movie

[1433] The server then generates a short movie based on the generated travel plan to help users visualize the plan. This short movie includes footage of selected tourist spots, accommodations, activities, restaurants, etc.

[1434] Submit your plan and short movie

[1435] The server packetizes the generated itinerary and short movie and prepares it for transmission. The terminal receives this data and displays it to the user.

[1436] Specific use cases

[1437] Example 1: Single user

[1438] 1. Survey information collection and emotion recognition:

[1439] - The user inputs information such as "Purpose of trip: sightseeing," "Budget: 100,000 yen," "Preferences: nature," "Dietary restrictions: none," "Type of accommodation: resort hotel," and "Method of transportation: train" into the device. The emotion engine recognizes the user's emotions in response to this information.

[1440] 2. Sending survey and sentiment data:

[1441] - The device transmits the survey data and emotion data.

[1442] 3. Plan Generation:

[1443] - The server analyzes the data and generates a sightseeing plan for, for example, Hakone. If the user expresses a strong interest in nature, the server will suggest a plan that emphasizes that interest.

[1444] 4. Creating a short movie:

[1445] - The server creates short movies about Hakone's tourist attractions, activities, and resort hotels.

[1446] 5. Submit your plan and short film:

[1447] - The server sends it to the device and the user confirms it.

[1448] Example 2: Multiple users

[1449] 1. Survey information collection and emotion recognition:

[1450] - User A enters "Purpose of travel: Cultural experience", "Budget: 70,000 yen", "Preferences: History", "Dietary restrictions: Vegetarian", "Type of accommodation: Guesthouse", and "Transportation: Bus".

[1451] - User B enters "Purpose of trip: relaxation", "Budget: 80,000 yen", "Preferences: nature", "Dietary restrictions: none", "Type of accommodation: resort hotel", and "Method of transportation: taxi". The emotion engine also recognizes each user's emotional state.

[1452] 2. Sending survey and sentiment data:

[1453] - The device sends each user's data to the server.

[1454] 3. Plan Generation:

[1455] - The server analyzes the data and generates a balanced travel plan for Kyoto, taking into account commonalities and emotional states. For example, it prioritizes a plan that satisfies both User A, who has a strong interest in history, and User B, who is interested in nature.

[1456] 4. Creating a short movie:

[1457] - The server will create a short movie including Kyoto's historical spots, relaxing Arashiyama, vegetarian restaurants, resort hotels and guesthouses.

[1458] 5. Submit your plan and short film:

[1459] - The server sends it to the device and each user confirms it.

[1460] Real-time plan adjustments

[1461] If a user needs to make a sudden change to their travel plans, they can send the change request to the server via their device. The server then analyzes the change request and emotion data, generates a new travel plan in real time, and sends the new plan and a short video to the device.

[1462] Collecting and Recalibrating Emotional Feedback

[1463] The emotion engine monitors and collects the user's emotions as feedback during the display of the itinerary and short movie. The server can analyze this emotional feedback and adjust the itinerary as needed.

[1464] Prompt Sentence Examples

[1465] Generate optimal travel plans based on information such as "sightseeing," "budget: 100,000 yen," "preferences: nature," "dietary restrictions: none," "type of accommodation: resort hotel," and "transportation: train," and incorporate related sentiment data into your plans.

[1466] By implementing the present invention in accordance with the above aspects, it is possible to provide flexible travel plans that precisely reflect the user's needs and emotional state. By using an emotion engine, a more personalized and satisfying travel experience can be realized.

[1467] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1468] Step 1: Collect survey information

[1469] The device displays a questionnaire screen for the user to enter the information necessary for planning a trip, such as the purpose of the trip, budget, preferences, dietary restrictions, type of accommodation, and mode of transportation. The entered data is saved on the device as survey information.

[1470] input:

[1471] Purpose of trip (e.g. sightseeing)

[1472] Budget (e.g. 100,000 yen)

[1473] Preferences (e.g., nature)

[1474] Dietary restrictions (e.g. none)

[1475] Type of accommodation (e.g. resort hotel)

[1476] Transportation (e.g. train)

[1477] output:

[1478] Survey information data (JSON format, etc.)

[1479] Step 2: Emotion Recognition

[1480] The emotion engine analyzes the user's facial expressions and voice in real time using the device's camera and microphone. The analyzed emotional state is captured as emotional data. For example, when a user types "nature," the emotion (excitement, joy, etc.) is recognized.

[1481] input:

[1482] User facial expression data

[1483] User voice data

[1484] output:

[1485] Emotion data (emotion labels such as excitement, joy, etc.)

[1486] Step 3: Send survey and sentiment data

[1487] The terminal then packetizes the collected questionnaire information and emotion data and transmits them to the server using a network communication protocol.

[1488] input:

[1489] Survey information data

[1490] Emotional Data

[1491] output:

[1492] Packetized data sent to the server

[1493] Step 4: Receiving and analyzing data

[1494] The server receives the survey information and emotion data sent from the device. Then, this data is input into the generative AI model for analysis. The server generates the optimal travel plan for the user based on the received data.

[1495] input:

[1496] Survey information data sent from the device

[1497] Emotional Data

[1498] output:

[1499] Travel plans as analysis results

[1500] Step 5: Create a short movie

[1501] The server then generates a short movie based on the generated travel plan, which allows users to visualize the plan visually. The short movie includes footage of selected tourist spots, accommodations, activities, restaurants, etc. Video editing software is used.

[1502] input:

[1503] Travel Planner

[1504] output:

[1505] Short Movie

[1506] Step 6: Submit your plan and short movie

[1507] The server packetizes the generated travel plan and short movie and transmits them to the terminal, which receives the data and displays it to the user.

[1508] input:

[1509] Travel Planner

[1510] Short Movie

[1511] output:

[1512] Data sent to the device

[1513] Step 7: Real-time plan adjustments

[1514] If a user needs to make a sudden change to their travel plans, they can send the change request to the server via their device. The server then analyzes the request and their current emotion data, generates a new travel plan in real time, and sends the new plan and a short video to the device.

[1515] input:

[1516] Change requests (new travel purpose, budget, etc.)

[1517] Current Emotion Data

[1518] output:

[1519] New travel plans

[1520] New short movie

[1521] Step 8: Gather and recalibrate emotional feedback

[1522] The emotion engine monitors the user's emotions while viewing the itinerary and short movie, and collects them as feedback. The server analyzes this emotion feedback and adjusts the itinerary as needed.

[1523] input:

[1524] User emotional feedback data

[1525] output:

[1526] Reworked travel plans

[1527] (Application example 2)

[1528] 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."

[1529] Conventional travel plan generation systems only provide plans based on the user's basic needs and requests, but are unable to provide plans that take into account the user's emotional state. As a result, plans that do not match the user's emotions or mood are sometimes proposed, making it difficult to improve the user experience. It is also difficult to provide flexible plans that take into account sudden changes during the trip and each user's emotional state in real time.

[1530] 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.

[1531] In this invention, the server includes means for collecting travel-related questionnaire information from users, means for analyzing the questionnaire information and emotion data generated by an emotion recognition engine to generate an optimal travel plan, and means for proposing optimal content based on the travel plan and the user's emotional state, thereby enabling the server to propose travel plans and appropriate content that reflect the user's emotional state.

[1532] A "travel plan" is a plan that suggests a travel itinerary suitable for the user based on the user's survey information and emotional data.

[1533] "Survey Information" refers to information collected from users regarding their travel purpose, budget, preferences, dietary restrictions, type of accommodation, and mode of transportation.

[1534] An "emotion recognition engine" is a system that recognizes a user's emotional state in real time by analyzing their facial expressions and voice.

[1535] "Emotion data" is data that indicates the emotional state of a user, generated by an emotion recognition engine.

[1536] A "short movie" is a short video created to give a visual image of a travel plan.

[1537] A "user device" is an electronic device (such as a smartphone or tablet) that a user uses to enter survey information and view suggested travel plans and short movies.

[1538] "Content" refers to information media such as music, videos, articles, etc. that are suggested based on the user's emotional state.

[1539] "Analysis" refers to the computational process of receiving survey information and emotion data and generating travel plans and optimal content based on them.

[1540] "Commonalities" are elements that are the same or similar in the survey information or emotional data of multiple users.

[1541] This invention relates to a system that provides travel plans based on a user's needs and emotional state. The system consists of a user terminal, a server, and a network that connects them. The user terminal is an electronic device such as a smartphone or tablet, and the server uses a cloud environment or a dedicated server.

[1542] Collecting survey information and sentiment data

[1543] The device displays a questionnaire screen where users can enter the information necessary for planning their trip. The questionnaire includes questions about the purpose of the trip, budget, preferences, dietary restrictions, type of accommodation, and mode of transportation. An emotion recognition engine also analyzes the user's facial expressions and voice to recognize emotional data in real time. This makes it possible to generate a travel plan that reflects the user's feelings.

[1544] Data transmission and analysis

[1545] The device sends the questionnaire data and emotional data entered by the user to the server. The server inputs the received data into the AI ​​model for analysis. The AI ​​model generates an optimal travel plan based on the user's needs and emotional state. This plan includes the best sightseeing spots, accommodations, activities, etc. based on the user's interests.

[1546] Short movie generation

[1547] The server then creates a short movie based on the generated travel plan, which includes footage of selected tourist spots, accommodations, activities, restaurants, etc., allowing users to visually visualize the trip.

[1548] Submit your plan and short movie

[1549] The server sends the generated travel plan and short movie to the user's terminal, which receives the data and displays it to the user. The user can then decide on the details of their trip based on the information they have confirmed.

[1550] Specific examples

[1551] For example, if a user enters information such as "Purpose of trip: sightseeing," "Budget: 100,000 yen," "Preferences: nature," "Dietary restrictions: none," "Type of accommodation: resort hotel," and "Method of transportation: train," and the emotion recognition engine recognizes the user's excitement, the system will provide a travel plan focusing on the keyword "nature."The short movie also includes footage of Hakone's tourist spots, activities, and resort hotels.

[1552] Prompt Sentence Examples

[1553] "We want to suggest the best content for users who express the emotion of joy. What kind of music and videos are suitable for joy?"

[1554] In this way, the present invention provides a system that provides travel plans and related content that reflects the user's needs and emotional state in real time. The combination of an AI model and an emotion recognition engine enables a more personalized user experience.

[1555] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1556] Step 1:

[1557] Users enter information necessary for planning a trip into the terminal, such as the purpose of the trip, budget, preferences, dietary restrictions, type of accommodation, and mode of transportation.

[1558] Input: Travel survey information entered by the user.

[1559] Output: Collected survey information.

[1560] Specific operation: The user enters the required information into the form displayed on the device screen and presses the "Submit" button.

[1561] Step 2:

[1562] The device uses an emotion recognition engine that analyzes the user's facial expressions and voice to recognize their emotional state in real time.

[1563] Input: User's facial and voice data.

[1564] Output: Recognized emotion data.

[1565] Specific operation: The device's camera and microphone are used to capture the user's facial expressions and voice, which are then analyzed by the emotion recognition engine to generate emotion data.

[1566] Step 3:

[1567] The terminal transmits the questionnaire information and emotion data to the server.

[1568] Input: Survey information and sentiment data.

[1569] Output: Survey information and sentiment data sent to the server.

[1570] Specific operation: The terminal packets the survey information and emotion data and sends them to the server via the network.

[1571] Step 4:

[1572] The server inputs the survey information and emotional data it receives into the AI ​​model and performs data analysis.

[1573] Input: Survey information and sentiment data.

[1574] Output: Optimal travel plan.

[1575] How it works: The server uses the AI ​​model to generate a travel plan that takes into account the user's needs and emotional state, including selecting appropriate tourist destinations, accommodations, activities, etc. from a database.

[1576] Step 5:

[1577] Based on the travel plan generated by the server, a short movie that can be visualized visually is created.

[1578] Input: The generated itinerary.

[1579] Output: Short movie.

[1580] Specific operation: The server combines video footage of designated tourist spots, accommodations, and activities to generate a short movie that visually appeals to the user.

[1581] Step 6:

[1582] The server transmits the generated travel plan and short movie to the user terminal.

[1583] Input: travel plans and short movies.

[1584] Output: The itinerary and short movie sent to the user's device.

[1585] Specific operation: The server packetizes the travel plan and short movie and sends them to the user's terminal via the network.

[1586] Step 7:

[1587] The user checks the travel plan and short movie displayed on the device.

[1588] Input: A travel plan and a short movie displayed on the user's device.

[1589] Output: User confirmation and decision.

[1590] Specific operation: The user checks the travel plan and short movie displayed on the device screen, and requests changes or decides on the plan if necessary.

[1591] Step 8:

[1592] If a user has a sudden change in plans while traveling, the user sends a change request to the server via the terminal.

[1593] Input: Request for mid-trip rescheduling.

[1594] Output: The change request sent to the server.

[1595] Specific operation: The user inputs a change request on the terminal and presses the send button. The terminal sends the change request to the server.

[1596] Step 9:

[1597] The server analyzes the change request and emotion data it receives, generates a new travel plan in real time, and sends it to the terminal.

[1598] Input: Change request and sentiment data.

[1599] Output: New travel plans.

[1600] Specific operation: The server again uses the AI ​​model to generate a new travel plan based on the change request and sends it to the device.

[1601] As described above, the present invention is divided into multiple steps, and the specific processing content and flow of each step are explained in detail, making it possible to generate an optimal travel plan that matches the user's needs and emotional state.

[1602] 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.

[1603] 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.

[1604] 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.

[1605] [Fourth embodiment]

[1606] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1607] 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.

[1608] 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).

[1609] 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.

[1610] 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.

[1611] 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).

[1612] 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.

[1613] 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.

[1614] 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.

[1615] 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.

[1616] 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.

[1617] 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.

[1618] 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."

[1619] The present invention relates to a system for proposing travel plans optimized for individual travel needs. The system is composed of a user terminal, a server, and a network for exchanging information between them.

[1620] 1. Collection of survey information

[1621] The device displays a questionnaire screen where the user can enter the necessary information for their trip planning. The questionnaire includes questions about the purpose of the trip, budget, preferences, dietary restrictions, type of accommodation, mode of transportation, etc. The user answers each question and enters the information into the device.

[1622] 2. Sending survey data

[1623] The terminal packetizes the questionnaire data entered by the user and transmits it to the server via the network.

[1624] 3. Analysis of survey data and plan generation

[1625] The server inputs the received survey data into an AI model and analyzes the data to generate the optimal travel plan for the user. The analysis process involves understanding the survey information and selecting travel destinations, activities, accommodations, restaurants, etc.

[1626] 4. Creating a short movie

[1627] The server then generates a short movie based on the generated travel plan to help users visualize the plan. This short movie includes footage of tourist spots, accommodations, restaurants, and other attractions in the selected travel destination.

[1628] 5. Submit your plan and short movie

[1629] The server sends the generated travel plan and short movie to the user's terminal, which displays the received plan and short movie to the user.

[1630] Example 1: Single user

[1631] 1. Survey Information Collection:

[1632] The user enters information such as "Purpose of trip: sightseeing," "Budget: 100,000 yen," "Preferences: nature," "Dietary restrictions: none," "Type of accommodation: resort hotel," and "Method of transportation: train" into the device.

[1633] 2. Sending survey data:

[1634] The terminal sends input data.

[1635] 3. Plan Generation:

[1636] The server performs the analysis and generates a sightseeing plan for, for example, Hakone.

[1637] 4. Creating a short movie:

[1638] The server creates short movies about Hakone's tourist attractions, activities, and resort hotels.

[1639] 5. Submit your plan and short film:

[1640] The server sends it to the terminal and the user confirms it.

[1641] Example 2: Multiple users

[1642] 1. Survey Information Collection:

[1643] User A enters "Purpose of travel: Cultural experience", "Budget: 70,000 yen", "Preferences: History", "Dietary restrictions: Vegetarian", "Type of accommodation: Guesthouse", and "Means of transportation: Bus".

[1644] User B enters "Purpose of trip: relaxation", "Budget: 80,000 yen", "Preferences: nature", "Dietary restrictions: none", "Type of accommodation: resort hotel", and "Method of transportation: taxi".

[1645] 2. Sending survey data:

[1646] The device sends each user's data to the server.

[1647] 3. Plan Generation:

[1648] The server performs the analysis, takes into account commonalities, and generates a balanced travel plan for "Kyoto."

[1649] 4. Creating a short movie:

[1650] The server will create a short movie that includes Kyoto's historical spots, relaxing Arashiyama, vegetarian restaurants, resort hotels and guesthouses.

[1651] 5. Submit your plan and short film:

[1652] The server sends it to the terminal and each user confirms it.

[1653] 6. Real-time plan adjustments

[1654] If a user needs to make a sudden change to their travel plans, they can send a request for the change to the server via their device. The server then analyzes the request, generates a new travel plan in real time, and sends the new plan and a short video to the device.

[1655] This allows users to flexibly respond to changes during their trip and enjoy their trip without stress.

[1656] As described above, the present invention is a system that provides flexible and detailed plans according to the user's travel needs, and further promotes concrete images through visual short movies.

[1657] The processing flow will be explained below.

[1658] Step 1:

[1659] The device displays a questionnaire screen where users can enter information necessary for planning their trip, such as the purpose of their trip, budget, preferences, dietary restrictions, type of accommodation, and mode of transportation.

[1660] Step 2:

[1661] The user answers the questions displayed on the questionnaire screen and enters the information into the terminal.

[1662] Step 3:

[1663] The terminal packetizes the questionnaire data entered by the user and prepares it for transmission. After checking that there are no errors, the data is sent to the server.

[1664] Step 4:

[1665] The server receives the submitted survey data and begins the analysis process.

[1666] Step 5:

[1667] The server inputs the received survey data into the AI ​​model and performs data analysis, which includes selecting the user's destination, recommending activities, selecting accommodations, and recommending restaurants.

[1668] Step 6:

[1669] The server generates the optimal travel plan for the user based on the results of the above analysis.

[1670] Step 7:

[1671] The server generates a visual short movie based on the generated travel plan, which includes footage of selected tourist spots, accommodations, activities, restaurants, etc.

[1672] Step 8:

[1673] The server packetizes the generated travel plan and short movie and prepares it for transmission.

[1674] Step 9:

[1675] The server transmits the packetized data to the terminal.

[1676] Step 10:

[1677] The device displays the received travel plan and short movie to the user.

[1678] Step 11:

[1679] The user checks the displayed travel plan and short movie and enters any feedback they may need.

[1680] Step 12:

[1681] The terminal sends feedback of the user input to the server.

[1682] Step 13:

[1683] The server analyzes the received feedback and identifies realignment points.

[1684] Step 14:

[1685] The server generates a new travel plan that reflects the readjustment points and creates a new short movie.

[1686] Step 15:

[1687] The server transmits the generated new travel plan and short movie to the terminal.

[1688] Step 16:

[1689] The terminal displays the re-sent travel plan and short movie to the user, prompting them to confirm and make a final decision.

[1690] Step 17:

[1691] If a user has a sudden change in plans during a trip, the user sends a change request to the server via the terminal.

[1692] Step 18:

[1693] The server analyzes the received change request and generates a new travel plan in real time according to the situation.

[1694] Step 19:

[1695] The server transmits the generated new travel plan and short movie to the terminal.

[1696] Step 20:

[1697] The terminal displays the retransmitted new travel plan and short movie to the user for confirmation.

[1698] Example 1

[1699] 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."

[1700] Conventional travel plan suggestion systems have difficulty automatically generating optimal plans that meet the user's travel needs. Furthermore, they lack a mechanism for quickly responding to requests for changes in the travel plan, making it difficult to revise the plan in real time. As a result, users are unable to flexibly respond to changes in the situation during their trip, which can lead to an unsatisfactory travel experience. Furthermore, the lack of visual information makes it difficult for users to visualize the plan in concrete terms.

[1701] 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.

[1702] In this invention, the server includes means for collecting travel-related questionnaire information from users, means for packetizing the questionnaire information and transmitting it to the server via a network, means for analyzing the questionnaire information and generating an optimal travel plan using a processor and a generative AI model, means for generating a short movie that provides a visual image based on the travel plan, means for transmitting the travel plan and the short movie to a user terminal, and means for modifying the travel plan in real time based on changes requested by the user. This allows for automatic generation of a travel plan optimized to the user's needs, enabling flexible response, and allowing the user to visualize the plan concretely by providing visual information.

[1703] "Survey Information" refers to data entered by a user as information necessary for travel planning, including the purpose of the trip, budget, preferences, dietary restrictions, type of accommodation, and means of transportation.

[1704] "Packetization" is the process of converting information entered by a user into a specific data format (for example, JSON format) so that it can be sent over a network.

[1705] "Plan generation" is the process of analyzing collected survey information and using AI models and processors to create the optimal travel plan for the user.

[1706] "Short movie generation" is the process of creating a short video to provide a visual image based on the generated travel plan. The video includes information on travel destinations, accommodations, restaurants, etc.

[1707] "Real-time plan modification" is a process that immediately reflects changes to plans that occur during a trip in response to a change request from the user, and generates a new travel plan and short movie.

[1708] A "generative AI model" is an artificial intelligence algorithm used for data analysis and travel plan generation, proposing the optimal plan based on the survey information entered by the user.

[1709] The "network" is the infrastructure that connects user terminals to the server and sends and receives data such as survey information, generated plans, and short movies.

[1710] The present invention relates to a system that proposes travel plans optimized to a user's travel needs. The system is composed of a user terminal, a server, and a network that exchanges information between them.

[1711] Hardware and Software Configuration

[1712] The terminal is a device such as a computer or smartphone used by the user, and provides an application or browser interface for collecting survey information and sending it to the server.

[1713] The server is a high-performance computer system that analyzes survey information, generates travel plans, and creates short movies. The server also contains a database management system, generative AI models, and multimedia editing software (e.g., FFmpeg).

[1714] The network is an internet line that connects user terminals and servers.

[1715] System Operation

[1716] 1. Collection of survey information

[1717] The device displays a questionnaire screen where the user can enter the necessary information for their trip planning. The questionnaire includes questions about the purpose of the trip, budget, preferences, dietary restrictions, type of accommodation, mode of transportation, etc. The user answers each question and enters the information into the device.

[1718] 2. Sending survey data

[1719] The terminal converts the survey data entered by the user into packets in JSON format or similar and sends them to the server via the network. This operation uses an HTTP POST request.

[1720] 3. Analysis of survey data and plan generation

[1721] The server inputs the received survey data into a generative AI model, analyzes the data, and generates the optimal travel plan for the user. This analysis includes the process of understanding the survey information and selecting travel destinations, activities, accommodations, restaurants, etc.

[1722] 4. Creating a short movie

[1723] The server then generates a short movie based on the generated travel plan to help users visualize the plan. This short movie includes footage of the tourist spots, accommodations, restaurants, etc. of the selected travel destination. Video editing software such as FFmpeg and Adobe Premiere Pro is used to create the short movie.

[1724] 5. Submit your plan and short movie

[1725] The server sends the generated travel plan and short movie to the user's terminal, which displays the received plan and short movie to the user.

[1726] 6. Real-time plan adjustments

[1727] If a user's plans suddenly change during their trip, they can send a change request to the server via their device. The server analyzes the request, generates a new travel plan in real time, and sends the new plan and a short movie to the device. This allows users to flexibly respond to changes during their trip and enjoy a stress-free trip.

[1728] Specific examples

[1729] As a specific example, consider a case where a user enters information such as "Purpose of trip: sightseeing," "Budget: 100,000 yen," "Preferences: nature," "Dietary restrictions: none," "Type of accommodation: resort hotel," and "Means of transportation: train."

[1730] 1. Survey Information Collection:

[1731] The user enters information such as "Purpose of trip: sightseeing," "Budget: 100,000 yen," "Preferences: nature," "Dietary restrictions: none," "Type of accommodation: resort hotel," and "Method of transportation: train" into the device.

[1732] 2. Sending survey data:

[1733] The terminal transmits these input data to the server.

[1734] 3. Plan Generation:

[1735] The server analyzes the data and generates a sightseeing plan for, for example, Hakone.

[1736] 4. Creating a short movie:

[1737] The server creates short movies about Hakone's tourist attractions, activities, and resort hotels.

[1738] 5. Submit your plan and short film:

[1739] The server sends this to the terminal and the user confirms it.

[1740] Prompt Sentence Examples

[1741] Here is an example of a prompt that the user might enter:

[1742] "Purpose of trip: sightseeing"

[1743] "Budget: 100,000 yen"

[1744] "Preference: Nature"

[1745] "Dietary restrictions: None"

[1746] "Type of accommodation: Resort hotel"

[1747] "Transportation means: train"

[1748] As described above, the present invention is a system that provides flexible and detailed plans according to the user's travel needs, and further promotes concrete images through visual short movies.

[1749] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1750] Step 1: Collect survey information

[1751] The terminal displays a questionnaire screen for the user to enter travel-related information. This screen includes questions about the purpose of the trip, budget, preferences, dietary restrictions, type of accommodation, and mode of transportation. The user answers each question and enters the information into the terminal. The following prompt sentence is obtained as input data:

[1752] "Purpose of trip: sightseeing"

[1753] "Budget: 100,000 yen"

[1754] "Preference: Nature"

[1755] "Dietary restrictions: None"

[1756] "Type of accommodation: Resort hotel"

[1757] "Transportation means: train"

[1758] Specific actions

[1759] The device places the entered data into a form that is displayed in the browser or application. When the user has finished entering the information, they press a confirm button to confirm the data.

[1760] Step 2: Submit your survey data

[1761] The terminal converts the survey data entered by the user into packets in JSON format, etc., and then sends them to a server via the Internet. The input data is the user's survey information, and the output data is the packet sent to the server.

[1762] Specific actions

[1763] The device sends packetized data to the specified API endpoint using an HTTP POST request, and the server receives the request and responds with a status code of 200 (success).

[1764] Step 3: Receiving and analyzing survey data

[1765] The server receives data packets sent over the network, analyzes the received survey data, and uses a generative AI model to generate an optimal travel plan for the user. The input data is the survey information sent from the device, and the output data is the optimal travel plan that is the result of the analysis.

[1766] Specific actions

[1767] The server decodes the received survey data and inputs it into a generative AI model. The AI ​​model selects the optimal travel plan based on the user's preferences and conditions. For example, it would suggest a sightseeing plan for "Hakone" to a user who likes "nature."

[1768] Step 4: Generate a short movie

[1769] The server generates a short movie based on the generated travel plan to help users visualize the plan. This short movie includes footage of tourist spots, accommodations, restaurants, etc. in the selected travel destination. The input data is the generated travel plan, and the output data is the short movie.

[1770] Specific actions

[1771] The server collects videos and images of selected travel destinations and facilities from the database, and edits the collected media files using video editing software (e.g., FFmpeg) to create short movies of 1 to 3 minutes.

[1772] Step 5: Submit your plan and short movie

[1773] The server transmits the generated travel plan and short movie to the user terminal. The input data are the travel plan and short movie, and the output data are packets sent to the terminal.

[1774] Specific actions

[1775] The server compresses the travel plan and short movie into a ZIP file and sends it to the device using an HTTP request. The device unpacks the received packet and displays the plan and movie to the user in the application.

[1776] Step 6: Real-time plan adjustments

[1777] If a sudden change in plans occurs during a trip, the user sends a change request to the server via their device. The server analyzes the received change request, generates a new travel plan in real time, and sends the new plan and a short movie to the device. The input data is the change request, and the output data is the new travel plan and a short movie.

[1778] Specific actions

[1779] When the server receives the change request, it inputs the new conditions into the generative AI model and quickly generates a new plan, then quickly edits the short movie based on the new plan and sends it back to the device.

[1780] (Application example 1)

[1781] 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."

[1782] There is a need for a method to meet the diverse travel needs of users and provide optimal travel plans tailored to their individual requests. In particular, there is a lack of systems that can accommodate cases where users have different preferences and conditions, or when multiple people are traveling together. Another challenge is providing users with a visually concrete image that makes it easy to understand the travel plan and increases their satisfaction.

[1783] 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.

[1784] In this invention, the server includes means for collecting travel-related questionnaire information from users, means for analyzing the questionnaire information to generate an optimal travel plan, means for generating a short movie that provides a visual image based on the travel plan, means for transmitting the travel plan and the short movie to a user terminal, means for packetizing the questionnaire data entered by the user and transmitting the packetized data to the server via a network, and means for inputting the questionnaire data received by the server into a generative AI model, analyzing the data to generate a travel plan, and generating a short movie based on the plan. This makes it possible to provide an optimized travel plan for each user and provide specific suggestions using visual images.

[1785] "User" means a user who receives a travel plan proposal.

[1786] "Survey Information" refers to information entered by a user to plan a trip, such as travel purpose, budget, preferences, dietary restrictions, type of accommodation, and mode of transportation.

[1787] The "server" is a computer system that analyzes the received questionnaire data, generates a travel plan and a short movie, and sends them to the user.

[1788] A "travel plan" is a proposal for the most suitable trip for the user, generated based on the survey information.

[1789] A "short movie" is a short video that helps users visualize the generated travel plan.

[1790] "User terminal" refers to an electronic device on which a user inputs survey information and receives the generated travel plan and short movie.

[1791] "Network" means a digital communications system for communicating data between user terminals and a server.

[1792] A "generative AI model" is an artificial intelligence algorithm that analyzes survey information and generates optimal travel plans.

[1793] "Packetization" refers to the data processing that divides the survey data entered by the user into small data blocks and sends them to the server over the network.

[1794] This invention is a system that proposes travel plans optimized to the user's travel needs, and is composed of a user terminal, a server, and a network that exchanges information between them.

[1795] Users use a questionnaire screen to enter the information necessary for their travel plans. On this questionnaire screen, they enter information such as the purpose of the trip, budget, preferences, dietary restrictions, type of accommodation, and mode of transportation. The information collected through the questionnaire is packetized by the device and sent to a server over the network. The server inputs this information into a generative AI model for analysis. Based on the generated travel plan, the server automatically generates a short movie that allows users to visually visualize the plan. Finally, the travel plan and short movie are sent back over the network to the user's device and displayed to the user.

[1796] The details of the operation are as follows.

[1797] 1. Survey Information Collection:

[1798] The user device displays a questionnaire screen for the user to enter the information necessary for planning a trip. The questionnaire includes questions about the purpose of the trip, budget, preferences, dietary restrictions, type of accommodation, mode of transportation, etc. The user answers each question and enters the information into the device.

[1799] Examples:

[1800] Example prompt sentence:

[1801] Complete our travel planning survey.

[1802] 1. Enter the purpose of your trip: Sightseeing

[1803] 2. Enter your budget: 100,000 yen

[1804] 3. Enter your preference: Nature

[1805] 4. Enter your dietary restrictions: None

[1806] 5. Enter your accommodation type: Resort Hotel

[1807] 6. Please enter your mode of transportation: Train

[1808] 2. Sending survey data:

[1809] The user terminal packets the survey data entered by the user and sends it to the server over the network, using an HTTP library such as the requests library.

[1810] 3. Survey data analysis and plan generation:

[1811] The server inputs the received survey data into a generative AI model, analyzes the data, and generates the optimal travel plan for the user. This analysis includes the process of understanding the survey information and selecting travel destinations, activities, accommodations, restaurants, etc.

[1812] 4. Creating a short movie:

[1813] The server generates a short movie based on the generated travel plan to help users visualize the plan. This short movie includes footage of tourist attractions, accommodations, restaurants, etc. in the selected travel destinations using the moviepy.editor library.

[1814] 5. Submit your plan and short film:

[1815] The server transmits the generated travel plan and short movie to the user terminal, which displays the received plan and short movie to the user.

[1816] Furthermore, if a user's plans suddenly change during their trip, they can send a change request to the server via their device. In this case, the server analyzes the received change request, generates a new travel plan in real time, and sends the new plan and a short movie to the device. This allows users to flexibly respond to changes during their trip and enjoy a stress-free trip.

[1817] As described above, the present invention is a system that provides flexible and detailed plans according to the user's travel needs, and further promotes concrete images through visual short movies.

[1818] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1819] Step 1:

[1820] Users enter information for their travel plans into a questionnaire screen displayed on their device, including the purpose of the trip, budget, preferences, dietary restrictions, type of accommodation, mode of transportation, etc. By entering this information, specific travel requirements are captured digitally.

[1821] Input: Survey information entered by the user

[1822] Output: Survey data in digital format

[1823] Specific operation: The user answers each question on the survey screen on the device, and the device saves the information as digital data.

[1824] Step 2:

[1825] The terminal then packets the survey data entered by the user and sends it over the network to the server, where it is sent as an HTTP request and encrypted if necessary.

[1826] Input: Digital survey data

[1827] Output: Packetized data sent to the server

[1828] Specific operation: The terminal sends data to the server using the requests library, etc.

[1829] Step 3:

[1830] The server inputs the received survey data into the generative AI model, analyzes the data, and generates an optimal travel plan. This analysis process includes selecting travel destinations, activities, accommodations, restaurants, etc. based on the user's requirements.

[1831] Input: Packetized data sent to the server

[1832] Output: Optimal travel plan

[1833] How it works: The server receives the data, and the generative AI model analyzes it to generate a travel plan.

[1834] Step 4:

[1835] The server then generates a short movie based on the generated travel plan, which includes footage of tourist spots, accommodations, restaurants, and other attractions in the selected travel destinations.

[1836] Input: Optimal travel plan

[1837] Output: Short movie

[1838] What it does: The server uses the moviepy.editor library to concatenate video clips based on the travel plan to generate a visually appealing short movie.

[1839] Step 5:

[1840] The server transmits the generated travel plan and short movie to the user terminal.

[1841] Input: Short movie and travel plan

[1842] Output: Data sent to the user's terminal

[1843] Specific operation: The server returns the travel plan and short movie to the user's device as an HTTP request.

[1844] Step 6:

[1845] The user's device displays the received plan and short movie to the user.

[1846] Input: Data sent to the user's terminal

[1847] Output: What is displayed to the user

[1848] Specific operation: The device analyzes the received data and displays a travel plan and a short video to the user.

[1849] 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.

[1850] This invention relates to a system that provides users with optimized travel plans, combining it with an emotion engine that recognizes the user's emotions, to propose more appropriate travel plans according to the user's needs and emotional state. The system consists of a user terminal, a server, and a network that connects them.

[1851] 1. Survey information collection and emotion recognition

[1852] The device displays a questionnaire screen for the user to enter the information necessary for planning a trip. The questionnaire includes questions about the purpose of the trip, budget, preferences, dietary restrictions, type of accommodation, and mode of transportation. The user answers each question and enters the information into the device. Meanwhile, the emotion engine analyzes the user's facial expressions and voice to recognize the user's emotional state (e.g., excitement, joy, surprise, displeasure, etc.) in real time.

[1853] 2. Sending survey data and sentiment data

[1854] The device then packets the questionnaire data entered by the user and the emotional data recognized by the emotion engine and transmits them to the server, allowing the server to grasp not only the user's needs but also their emotional state.

[1855] 3. Data analysis and travel plan generation

[1856] The server inputs the received survey data and emotional data into an AI model, analyzes the data, and generates the optimal travel plan for the user. This analysis takes into account the user's emotional state as well as the survey information. For example, if the user responds with excitement or joy to a particular question, the travel plan can include something that reflects that.

[1857] 4. Creating a short movie

[1858] The server then generates a short movie based on the generated travel plan to help users visualize the plan. This short movie includes footage of selected tourist spots, accommodations, activities, restaurants, etc.

[1859] 5. Submit your plan and short movie

[1860] The server packetizes the generated itinerary and short movie and prepares it for transmission. The terminal receives this data and displays it to the user.

[1861] Example 1: Single user

[1862] 1. Survey information collection and emotion recognition:

[1863] - The user inputs information such as "Purpose of trip: sightseeing," "Budget: 100,000 yen," "Preferences: nature," "Dietary restrictions: none," "Type of accommodation: resort hotel," and "Method of transportation: train" into the device. The emotion engine recognizes the user's emotions in response to this information.

[1864] 2. Sending survey and sentiment data:

[1865] - The device transmits the survey data and emotion data.

[1866] 3. Plan Generation:

[1867] - The server analyzes the data and generates a sightseeing plan for, for example, Hakone. If the user expresses a strong interest in nature, the server will suggest a plan that emphasizes that interest.

[1868] 4. Creating a short movie:

[1869] - The server creates short movies about Hakone's tourist attractions, activities, and resort hotels.

[1870] 5. Submit your plan and short film:

[1871] - The server sends it to the device and the user confirms it.

[1872] Example 2: Multiple users

[1873] 1. Survey information collection and emotion recognition:

[1874] - User A enters "Purpose of travel: Cultural experience", "Budget: 70,000 yen", "Preferences: History", "Dietary restrictions: Vegetarian", "Type of accommodation: Guesthouse", and "Transportation: Bus".

[1875] - User B enters "Purpose of trip: relaxation", "Budget: 80,000 yen", "Preferences: nature", "Dietary restrictions: none", "Type of accommodation: resort hotel", and "Method of transportation: taxi". The emotion engine also recognizes each user's emotional state.

[1876] 2. Sending survey and sentiment data:

[1877] - The device sends each user's data to the server.

[1878] 3. Plan Generation:

[1879] - The server analyzes the data and generates a balanced travel plan for Kyoto, taking into account commonalities and emotional states. For example, it prioritizes a plan that satisfies both User A, who has a strong interest in history, and User B, who is interested in nature.

[1880] 4. Creating a short movie:

[1881] - The server will create a short movie including Kyoto's historical spots, relaxing Arashiyama, vegetarian restaurants, resort hotels and guesthouses.

[1882] 5. Submit your plan and short film:

[1883] - The server sends it to the device and each user confirms it.

[1884] 6. Real-time plan adjustments

[1885] If a user needs to make a sudden change to their travel plans, they can send the change request to the server via their device. The server then analyzes the change request and emotion data, generates a new travel plan in real time, and sends the new plan and a short video to the device.

[1886] 7. Gathering and Recalibrating Emotional Feedback

[1887] The emotion engine monitors and collects the user's emotions as feedback during the display of the itinerary and short movie. The server can analyze this emotional feedback and adjust the itinerary as needed.

[1888] As described above, the present invention is a system that provides flexible and detailed travel plans tailored to the user's travel needs and emotional state, and promotes visually specific images. By combining it with an emotion engine, the user experience can be further improved.

[1889] The processing flow will be explained below.

[1890] Step 1:

[1891] The device displays a questionnaire screen that allows users to enter information necessary for planning their trip, including questions about the purpose of the trip, budget, preferences, dietary restrictions, type of accommodation, and mode of transportation.

[1892] Step 2:

[1893] The user answers each question displayed on the questionnaire screen and enters it into the terminal.

[1894] Step 3:

[1895] The emotion engine analyzes the user's facial expressions and voice while filling out the questionnaire and recognizes the user's emotional state (e.g., joy, excitement, anxiety, etc.).

[1896] Step 4:

[1897] The terminal packetizes the questionnaire data entered by the user and the emotion data recognized by the emotion engine and prepares for transmission.

[1898] Step 5:

[1899] The terminal transmits packetized questionnaire data and emotion data to the server.

[1900] Step 6:

[1901] The server receives the submitted questionnaire data and emotion data and begins the analysis process.

[1902] Step 7:

[1903] The server inputs the received survey data and emotional data into the AI ​​model and performs data analysis. This analysis includes selecting the user's travel destination, recommending activities, selecting accommodations, recommending restaurants, etc. For example, if a user responds with excitement to a specific question, the model will suggest a plan that takes that interest into account.

[1904] Step 8:

[1905] The server generates the optimal travel plan for the user based on the analysis results.

[1906] Step 9:

[1907] The server generates a visual short movie based on the generated travel plan, which includes footage of selected tourist spots, accommodations, activities, restaurants, etc.

[1908] Step 10:

[1909] The server packetizes the generated itinerary and short movie and prepares it for transmission.

[1910] Step 11:

[1911] The server transmits the packetized travel plan and short movie to the terminal.

[1912] Step 12:

[1913] The device displays the received travel plan and short movie to the user.

[1914] Step 13:

[1915] The user checks the displayed travel plan and short movie and enters feedback as necessary.

[1916] Step 14:

[1917] The emotion engine monitors the user's emotions during this confirmation and collects emotion data as feedback.

[1918] Step 15:

[1919] The terminal repackets the feedback and emotion data input by the user and prepares to send it to the server.

[1920] Step 16:

[1921] The terminal transmits packetized feedback and emotion data to the server.

[1922] Step 17:

[1923] The server analyzes the received feedback and emotion data to identify recalibration points.

[1924] Step 18:

[1925] The server takes into account the realignment points and generates a new itinerary.

[1926] Step 19:

[1927] The server generates the short movie again based on the new travel plan.

[1928] Step 20:

[1929] The server packetizes the new travel plan and the short movie and transmits them to the terminal.

[1930] Step 21:

[1931] The terminal displays the new travel plan and short movie received again to the user, prompting for final confirmation.

[1932] Step 22:

[1933] Users review the newly proposed travel plans and short videos and make a final decision.

[1934] Step 23:

[1935] If a user has a sudden change in plans during a trip, the user sends a change request to the server via the terminal.

[1936] Step 24:

[1937] The server analyzes the received change requests and emotion data and generates a new travel plan in real time.

[1938] Step 25:

[1939] The server packetizes the generated new travel plan and short movie and transmits them to the terminal.

[1940] Step 26:

[1941] The terminal displays the retransmitted new travel plan and short movie to the user for confirmation.

[1942] Example 2

[1943] 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."

[1944] While conventional travel planning systems can reflect a user's basic needs and desires, they are unable to provide an optimal plan that takes into account the user's emotional state. Furthermore, when changes are made in real time during a trip, it is difficult to generate a new plan that reflects the user's current emotional state. For this reason, there is a need for a system that can provide specific and flexible travel plans that increase user satisfaction.

[1945] The specification process by the specification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes means for collecting travel-related questionnaire information from users, means for analyzing the questionnaire information to generate an optimal travel plan, means for recognizing the user's emotional state in real time, means for generating a travel plan based on the questionnaire information and emotional state information, means for generating a short movie that provides a visual image based on the travel plan, and means for transmitting the travel plan and short movie to the user terminal. This makes it possible to provide an appropriate travel plan that reflects the user's emotional state, facilitates plan revision in real time, and improves the user experience.

[1946] "User" refers to a person who uses the system to generate a travel plan.

[1947] "Survey Information" means data regarding travel purpose, budget, preferences, dietary restrictions, type of accommodation, and mode of transportation that you enter to plan your trip.

[1948] "Emotional state" refers to the psychological reactions and emotions that are analyzed in real time from the user's facial expressions and voice.

[1949] "Server" refers to a central processing unit that receives questionnaire information and emotional state information, generates a travel plan based on the information, and transmits it.

[1950] An "emotion engine" refers to software or hardware that analyzes a user's facial expressions and voice in real time and recognizes their emotional state.

[1951] The "optimal travel plan" refers to the travel plan that is most suitable for the user, generated based on the user's survey information and emotional state.

[1952] A "short movie" refers to a short video that visually explains the contents of a generated travel plan.

[1953] "User terminal" refers to the electronic device used to input survey information and display the generated travel plan and short movie.

[1954] This invention relates to a system that provides users with optimized travel plans, combining an emotion engine that recognizes the user's emotions and proposing travel plans that correspond to the user's needs and emotional state. This system is composed of a user terminal, a server, and a network that connects them.

[1955] Survey information collection and emotion recognition

[1956] The device displays a questionnaire screen for the user to enter the information necessary for planning a trip. The questionnaire includes questions about the purpose of the trip, budget, preferences, dietary restrictions, type of accommodation, and mode of transportation. The user answers each question and enters the information into the device. Meanwhile, the emotion engine analyzes the user's facial expressions and voice to recognize the user's emotional state (e.g., excitement, joy, surprise, displeasure, etc.) in real time.

[1957] Sending survey and sentiment data

[1958] The device then packets the questionnaire data entered by the user and the emotional data recognized by the emotion engine and transmits them to the server, allowing the server to grasp not only the user's needs but also their emotional state.

[1959] Data analysis and travel plan generation

[1960] The server inputs the received survey data and emotional data into a generative AI model, analyzes the data, and generates the optimal travel plan for the user. This analysis takes into account not only the survey information but also the user's emotional state. For example, if the user responds to a particular question with excitement or joy, the travel plan can include something that reflects that.

[1961] Creating a short movie

[1962] The server then generates a short movie based on the generated travel plan to help users visualize the plan. This short movie includes footage of selected tourist spots, accommodations, activities, restaurants, etc.

[1963] Submit your plan and short movie

[1964] The server packetizes the generated itinerary and short movie and prepares it for transmission. The terminal receives this data and displays it to the user.

[1965] Specific use cases

[1966] Example 1: Single user

[1967] 1. Survey information collection and emotion recognition:

[1968] - The user inputs information such as "Purpose of trip: sightseeing," "Budget: 100,000 yen," "Preferences: nature," "Dietary restrictions: none," "Type of accommodation: resort hotel," and "Method of transportation: train" into the device. The emotion engine recognizes the user's emotions in response to this information.

[1969] 2. Sending survey and sentiment data:

[1970] - The device transmits the survey data and emotion data.

[1971] 3. Plan Generation:

[1972] - The server analyzes the data and generates a sightseeing plan for, for example, Hakone. If the user expresses a strong interest in nature, the server will suggest a plan that emphasizes that interest.

[1973] 4. Creating a short movie:

[1974] - The server creates short movies about Hakone's tourist attractions, activities, and resort hotels.

[1975] 5. Submit your plan and short film:

[1976] - The server sends it to the device and the user confirms it.

[1977] Example 2: Multiple users

[1978] 1. Survey information collection and emotion recognition:

[1979] - User A enters "Purpose of travel: Cultural experience", "Budget: 70,000 yen", "Preferences: History", "Dietary restrictions: Vegetarian", "Type of accommodation: Guesthouse", and "Transportation: Bus".

[1980] - User B enters "Purpose of trip: relaxation", "Budget: 80,000 yen", "Preferences: nature", "Dietary restrictions: none", "Type of accommodation: resort hotel", and "Method of transportation: taxi". The emotion engine also recognizes each user's emotional state.

[1981] 2. Sending survey and sentiment data:

[1982] - The device sends each user's data to the server.

[1983] 3. Plan Generation:

[1984] - The server analyzes the data and generates a balanced travel plan for Kyoto, taking into account commonalities and emotional states. For example, it prioritizes a plan that satisfies both User A, who has a strong interest in history, and User B, who is interested in nature.

[1985] 4. Creating a short movie:

[1986] - The server will create a short movie including Kyoto's historical spots, relaxing Arashiyama, vegetarian restaurants, resort hotels and guesthouses.

[1987] 5. Submit your plan and short film:

[1988] - The server sends it to the device and each user confirms it.

[1989] Real-time plan adjustments

[1990] If a user needs to make a sudden change to their travel plans, they can send the change request to the server via their device. The server then analyzes the change request and emotion data, generates a new travel plan in real time, and sends the new plan and a short video to the device.

[1991] Collecting and Recalibrating Emotional Feedback

[1992] The emotion engine monitors and collects the user's emotions as feedback during the display of the itinerary and short movie. The server can analyze this emotional feedback and adjust the itinerary as needed.

[1993] Prompt Sentence Examples

[1994] Generate optimal travel plans based on information such as "sightseeing," "budget: 100,000 yen," "preferences: nature," "dietary restrictions: none," "type of accommodation: resort hotel," and "transportation: train," and incorporate related sentiment data into your plans.

[1995] By implementing the present invention in accordance with the above aspects, it is possible to provide flexible travel plans that precisely reflect the user's needs and emotional state. By using an emotion engine, a more personalized and satisfying travel experience can be realized.

[1996] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1997] Step 1: Collect survey information

[1998] The device displays a questionnaire screen for the user to enter the information necessary for planning a trip, such as the purpose of the trip, budget, preferences, dietary restrictions, type of accommodation, and mode of transportation. The entered data is saved on the device as survey information.

[1999] input:

[2000] Purpose of trip (e.g. sightseeing)

[2001] Budget (e.g. 100,000 yen)

[2002] Preferences (e.g., nature)

[2003] Dietary restrictions (e.g. none)

[2004] Type of accommodation (e.g. resort hotel)

[2005] Transportation (e.g. train)

[2006] output:

[2007] Survey information data (JSON format, etc.)

[2008] Step 2: Emotion Recognition

[2009] The emotion engine analyzes the user's facial expressions and voice in real time using the device's camera and microphone. The analyzed emotional state is captured as emotional data. For example, when a user types "nature," the emotion (excitement, joy, etc.) is recognized.

[2010] input:

[2011] User facial expression data

[2012] User voice data

[2013] output:

[2014] Emotion data (emotion labels such as excitement, joy, etc.)

[2015] Step 3: Send survey and sentiment data

[2016] The terminal then packetizes the collected questionnaire information and emotion data and transmits them to the server using a network communication protocol.

[2017] input:

[2018] Survey information data

[2019] Emotional Data

[2020] output:

[2021] Packetized data sent to the server

[2022] Step 4: Receiving and analyzing data

[2023] The server receives the survey information and emotion data sent from the device. Then, this data is input into the generative AI model for analysis. The server generates the optimal travel plan for the user based on the received data.

[2024] input:

[2025] Survey information data sent from the device

[2026] Emotional Data

[2027] output:

[2028] Travel plans as analysis results

[2029] Step 5: Create a short movie

[2030] The server then generates a short movie based on the generated travel plan, which allows users to visualize the plan visually. The short movie includes footage of selected tourist spots, accommodations, activities, restaurants, etc. Video editing software is used.

[2031] input:

[2032] Travel Planner

[2033] output:

[2034] Short Movie

[2035] Step 6: Submit your plan and short movie

[2036] The server packetizes the generated travel plan and short movie and transmits them to the terminal, which receives the data and displays it to the user.

[2037] input:

[2038] Travel Planner

[2039] Short Movie

[2040] output:

[2041] Data sent to the device

[2042] Step 7: Real-time plan adjustments

[2043] If a user needs to make a sudden change to their travel plans, they can send the change request to the server via their device. The server then analyzes the request and their current emotion data, generates a new travel plan in real time, and sends the new plan and a short video to the device.

[2044] input:

[2045] Change requests (new travel purpose, budget, etc.)

[2046] Current Emotion Data

[2047] output:

[2048] New travel plans

[2049] New short movie

[2050] Step 8: Gather and recalibrate emotional feedback

[2051] The emotion engine monitors the user's emotions while viewing the itinerary and short movie, and collects them as feedback. The server analyzes this emotion feedback and adjusts the itinerary as needed.

[2052] input:

[2053] User emotional feedback data

[2054] output:

[2055] Reworked travel plans

[2056] (Application example 2)

[2057] 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."

[2058] Conventional travel plan generation systems only provide plans based on the user's basic needs and requests, but are unable to provide plans that take into account the user's emotional state. As a result, plans that do not match the user's emotions or mood are sometimes proposed, making it difficult to improve the user experience. It is also difficult to provide flexible plans that take into account sudden changes during the trip and each user's emotional state in real time.

[2059] 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.

[2060] In this invention, the server includes means for collecting travel-related questionnaire information from users, means for analyzing the questionnaire information and emotion data generated by an emotion recognition engine to generate an optimal travel plan, and means for proposing optimal content based on the travel plan and the user's emotional state, thereby enabling the server to propose travel plans and appropriate content that reflect the user's emotional state.

[2061] A "travel plan" is a plan that suggests a travel itinerary suitable for the user based on the user's survey information and emotional data.

[2062] "Survey Information" refers to information collected from users regarding their travel purpose, budget, preferences, dietary restrictions, type of accommodation, and mode of transportation.

[2063] An "emotion recognition engine" is a system that recognizes a user's emotional state in real time by analyzing their facial expressions and voice.

[2064] "Emotion data" is data that indicates the emotional state of a user, generated by an emotion recognition engine.

[2065] A "short movie" is a short video created to give a visual image of a travel plan.

[2066] A "user device" is an electronic device (such as a smartphone or tablet) that a user uses to enter survey information and view suggested travel plans and short movies.

[2067] "Content" refers to information media such as music, videos, articles, etc. that are suggested based on the user's emotional state.

[2068] "Analysis" refers to the computational process of receiving survey information and emotion data and generating travel plans and optimal content based on them.

[2069] "Commonalities" are elements that are the same or similar in the survey information or emotional data of multiple users.

[2070] This invention relates to a system that provides travel plans based on a user's needs and emotional state. The system consists of a user terminal, a server, and a network that connects them. The user terminal is an electronic device such as a smartphone or tablet, and the server uses a cloud environment or a dedicated server.

[2071] Collecting survey information and sentiment data

[2072] The device displays a questionnaire screen where users can enter the information necessary for planning their trip. The questionnaire includes questions about the purpose of the trip, budget, preferences, dietary restrictions, type of accommodation, and mode of transportation. An emotion recognition engine also analyzes the user's facial expressions and voice to recognize emotional data in real time. This makes it possible to generate a travel plan that reflects the user's feelings.

[2073] Data transmission and analysis

[2074] The device sends the questionnaire data and emotional data entered by the user to the server. The server inputs the received data into the AI ​​model for analysis. The AI ​​model generates an optimal travel plan based on the user's needs and emotional state. This plan includes the best sightseeing spots, accommodations, activities, etc. based on the user's interests.

[2075] Short movie generation

[2076] The server then creates a short movie based on the generated travel plan, which includes footage of selected tourist spots, accommodations, activities, restaurants, etc., allowing users to visually visualize the trip.

[2077] Submit your plan and short movie

[2078] The server sends the generated travel plan and short movie to the user's terminal, which receives the data and displays it to the user. The user can then decide on the details of their trip based on the information they have confirmed.

[2079] Specific examples

[2080] For example, if a user enters information such as "Purpose of trip: sightseeing," "Budget: 100,000 yen," "Preferences: nature," "Dietary restrictions: none," "Type of accommodation: resort hotel," and "Method of transportation: train," and the emotion recognition engine recognizes the user's excitement, the system will provide a travel plan focusing on the keyword "nature."The short movie also includes footage of Hakone's tourist spots, activities, and resort hotels.

[2081] Prompt Sentence Examples

[2082] "We want to suggest the best content for users who express the emotion of joy. What kind of music and videos are suitable for joy?"

[2083] In this way, the present invention provides a system that provides travel plans and related content that reflects the user's needs and emotional state in real time. The combination of an AI model and an emotion recognition engine enables a more personalized user experience.

[2084] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[2085] Step 1:

[2086] Users enter information necessary for planning a trip into the terminal, such as the purpose of the trip, budget, preferences, dietary restrictions, type of accommodation, and mode of transportation.

[2087] Input: Travel survey information entered by the user.

[2088] Output: Collected survey information.

[2089] Specific operation: The user enters the required information into the form displayed on the device screen and presses the "Submit" button.

[2090] Step 2:

[2091] The device uses an emotion recognition engine that analyzes the user's facial expressions and voice to recognize their emotional state in real time.

[2092] Input: User's facial and voice data.

[2093] Output: Recognized emotion data.

[2094] Specific operation: The device's camera and microphone are used to capture the user's facial expressions and voice, which are then analyzed by the emotion recognition engine to generate emotion data.

[2095] Step 3:

[2096] The terminal transmits the questionnaire information and emotion data to the server.

[2097] Input: Survey information and sentiment data.

[2098] Output: Survey information and sentiment data sent to the server.

[2099] Specific operation: The terminal packets the survey information and emotion data and sends them to the server via the network.

[2100] Step 4:

[2101] The server inputs the survey information and emotional data it receives into the AI ​​model and performs data analysis.

[2102] Input: Survey information and sentiment data.

[2103] Output: Optimal travel plan.

[2104] How it works: The server uses the AI ​​model to generate a travel plan that takes into account the user's needs and emotional state, including selecting appropriate tourist destinations, accommodations, activities, etc. from a database.

[2105] Step 5:

[2106] Based on the travel plan generated by the server, a short movie that can be visualized visually is created.

[2107] Input: The generated itinerary.

[2108] Output: Short movie.

[2109] Specific operation: The server combines video footage of designated tourist spots, accommodations, and activities to generate a short movie that visually appeals to the user.

[2110] Step 6:

[2111] The server transmits the generated travel plan and short movie to the user terminal.

[2112] Input: travel plans and short movies.

[2113] Output: The itinerary and short movie sent to the user's device.

[2114] Specific operation: The server packetizes the travel plan and short movie and sends them to the user's terminal via the network.

[2115] Step 7:

[2116] The user checks the travel plan and short movie displayed on the device.

[2117] Input: A travel plan and a short movie displayed on the user's device.

[2118] Output: User confirmation and decision.

[2119] Specific operation: The user checks the travel plan and short movie displayed on the device screen, and requests changes or decides on the plan if necessary.

[2120] Step 8:

[2121] If a user has a sudden change in plans while traveling, the user sends a change request to the server via the terminal.

[2122] Input: Request for mid-trip rescheduling.

[2123] Output: The change request sent to the server.

[2124] Specific operation: The user inputs a change request on the terminal and presses the send button. The terminal sends the change request to the server.

[2125] Step 9:

[2126] The server analyzes the change request and emotion data it receives, generates a new travel plan in real time, and sends it to the terminal.

[2127] Input: Change request and sentiment data.

[2128] Output: New travel plans.

[2129] Specific operation: The server again uses the AI ​​model to generate a new travel plan based on the change request and sends it to the device.

[2130] As described above, the present invention is divided into multiple steps, and the specific processing content and flow of each step are explained in detail, making it possible to generate an optimal travel plan that matches the user's needs and emotional state.

[2131] 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.

[2132] 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.

[2133] 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.

[2134] 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.

[2135] 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.

[2136] 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.

[2137] 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).

[2138] 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.

[2139] 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."

[2140] 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.

[2141] 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).

[2142] 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.

[2143] 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.

[2144] 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.

[2145] 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.

[2146] 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.

[2147] 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.

[2148] 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.

[2149] 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.

[2150] 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.

[2151] 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.

[2152] The following is further disclosed regarding the above embodiment.

[2153] (Claim 1)

[2154] A means of collecting survey information about travel from users;

[2155] means for analyzing the questionnaire information and generating an optimal travel plan;

[2156] means for generating a short movie that provides a visual image based on the travel plan;

[2157] means for transmitting the travel plan and the short movie to a user terminal;

[2158] A system including:

[2159] (Claim 2)

[2160] 2. The system of claim 1, wherein the survey information includes information regarding the purpose of the trip, budget, preferences, dietary restrictions, type of accommodation, and mode of transportation.

[2161] (Claim 3)

[2162] 2. The system according to claim 1, further comprising means for collecting questionnaire information from each user when there are multiple users and generating a travel plan taking into consideration commonalities and points of emphasis of the users.

[2163] (Claim 4)

[2164] 2. The system according to claim 1, further comprising means for generating and transmitting a new itinerary in real time when a sudden change in plans occurs during the trip.

[2165] (Claim 5)

[2166] 10. The system of claim 1, further comprising means for collecting user feedback on the itinerary and the short movie and generating a refined itinerary and the short movie.

[2167] "Example 1"

[2168] (Claim 1)

[2169] A means of collecting survey information about travel from users;

[2170] means for packetizing the survey information and transmitting the packetized information to a server via a network;

[2171] means for analyzing the questionnaire information and generating an optimal travel plan using a processor and a generative AI model;

[2172] means for generating a short movie that provides a visual image based on the travel plan;

[2173] means for transmitting the travel plan and the short movie to a user terminal;

[2174] a means for modifying the travel plan in real time based on change requests from the user;

[2175] A system including:

[2176] (Claim 2)

[2177] 2. The system of claim 1, wherein the survey information includes information regarding the purpose of the trip, budget, preferences, dietary restrictions, type of accommodation, and mode of transportation.

[2178] (Claim 3)

[2179] 2. The system according to claim 1, further comprising means for collecting questionnaire information from each user when there are multiple users and generating a travel plan taking into consideration commonalities and points of emphasis of the users.

[2180] "Application Example 1"

[2181] (Claim 1)

[2182] A means of collecting survey information about travel from users;

[2183] means for analyzing the questionnaire information and generating an optimal travel plan;

[2184] means for generating a short movie that provides a visual image based on the travel plan;

[2185] means for transmitting the travel plan and the short movie to a user terminal;

[2186] A means for packetizing the questionnaire data entered by the user and transmitting the packetized data to a server via a network;

[2187] The server inputs the survey data received into a generation AI model, analyzes it, generates a travel plan, and generates a short movie based on the plan.

[2188] A system including:

[2189] (Claim 2)

[2190] 2. The system of claim 1, wherein the survey information includes information regarding the purpose of the trip, budget, preferences, dietary restrictions, type of accommodation, and mode of transportation.

[2191] (Claim 3)

[2192] 2. The system according to claim 1, further comprising means for collecting questionnaire information from each user when there are multiple users and generating a travel plan taking into consideration commonalities and points of emphasis of the users.

[2193] "Example 2: Combining Emotion Engines"

[2194] (Claim 1)

[2195] A means of collecting survey information about travel from users;

[2196] means for analyzing the questionnaire information and generating an optimal travel plan;

[2197] a means for recognizing the user's emotional state in real time;

[2198] means for generating a travel plan based on the questionnaire information and emotional state information;

[2199] means for generating a short movie that provides a visual image based on the travel plan;

[2200] means for transmitting the travel plan and the short movie to a user terminal;

[2201] A system including:

[2202] (Claim 2)

[2203] 2. The system of claim 1, wherein the survey information includes information regarding the purpose of the trip, budget, preferences, dietary restrictions, type of accommodation, and mode of transportation.

[2204] (Claim 3)

[2205] 2. The system according to claim 1, further comprising means for collecting questionnaire information from each user when there are multiple users and generating a travel plan taking into consideration commonalities and points of emphasis of the users.

[2206] (Claim 4)

[2207] 10. The system of claim 1, further comprising means for collecting user emotional feedback and modifying the travel plan in real time.

[2208] "Application example 2 when combining emotion engines"

[2209] (Claim 1)

[2210] A means of collecting survey information about travel from users;

[2211] means for analyzing the questionnaire information and emotion data obtained by an emotion recognition engine to generate an optimal travel plan;

[2212] means for suggesting optimal content based on the travel plan and emotional state;

[2213] means for generating a short movie that provides a visual image based on the travel plan;

[2214] means for transmitting the travel plan and the short movie to a user terminal;

[2215] A system including:

[2216] (Claim 2)

[2217] 2. The system of claim 1, wherein the survey information includes information regarding the purpose of the trip, budget, preferences, dietary restrictions, type of accommodation, and mode of transportation.

[2218] (Claim 3)

[2219] The system according to claim 1, further comprising means for collecting survey information and emotional data from each user when there are multiple users, and proposing travel plans and optimal content that take into account commonalities and priorities of each user. [Explanation of symbols]

[2220] 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 of collecting survey information about travel from users; means for analyzing the questionnaire information and generating an optimal travel plan; means for generating a short movie that provides a visual image based on the travel plan; means for transmitting the travel plan and the short movie to a user terminal; A system including:

2. The system of claim 1 , wherein the questionnaire information includes information regarding the purpose of the trip, budget, preferences, dietary restrictions, type of accommodation, and mode of transportation.

3. 2. The system according to claim 1, further comprising means for collecting questionnaire information from each user and generating a travel plan taking into consideration commonalities and points of emphasis when there are a plurality of users.

4. 2. The system according to claim 1, further comprising means for generating and transmitting a new itinerary in real time when a sudden change in plans occurs during the trip.

5. 2. The system of claim 1, further comprising means for collecting user feedback on the itinerary and the short movie and generating a refined itinerary and the short movie.

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