System

Abstract

A system is provided.SOLUTION: A system comprising: interface means for inputting a condition desired by a user; terminal means for receiving the desired condition input by the user; server means for searching a database for matching vehicle type information based on the received desired condition; server means for analyzing the searched vehicle type information and generating an optimum vehicle type list; and means for transmitting the generated vehicle type list to the terminal means and displaying it.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] In the conventional minicar selection process, users had to collect a lot of information and manually compare the characteristics and ratings of each vehicle model, which was time-consuming and labor-intensive. It was also difficult to find the optimal vehicle that met the user's various desired conditions (price, fuel economy, quietness, acceleration, taxes, insurance, and mileage fees). Furthermore, the purchasing process, including the purchase procedure and insurance selection, placed a heavy burden on users, and efficient support was lacking. [Means for solving the problem]

[0005] In order to solve the above problems, the present invention provides the following means: An interface means is provided for the user to input desired conditions, and a terminal means receives the desired conditions input by the user. A server means is provided to search a database for suitable vehicle model information based on the received desired conditions, and the server means is configured to analyze the searched vehicle model information and generate an optimal vehicle model list. The generated vehicle model list is sent to the terminal means and displayed, allowing the user to easily and quickly select the optimal light vehicle. Furthermore, the terminal means displays detailed information about a vehicle model selected from the displayed vehicle model list, and has means to assist in the purchase procedure and insurance application procedure, resulting in a system that consistently supports the user's purchasing process.

[0006] "User" refers to an individual or corporation that uses the application to search for the most suitable minicar by entering the desired vehicle type.

[0007] "Interface means" refers to the function of a device or software that includes a screen or input field for a user to input desired conditions.

[0008] "Terminal means" refers to a device (such as a smartphone, tablet, or computer) operated by a user, which has the function of receiving user input through interface means, transmitting data to server means, and displaying it.

[0009] "Server means" refers to a computer system or platform that has the function of receiving data input by a user, searching and analyzing information from a database based on conditions, and transmitting the results to terminal means.

[0010] A "database" refers to a collection of information that stores data necessary for searches, such as vehicle model information, reviews, pricing information, and insurance information.

[0011] "Vehicle information" refers to detailed information about a specific vehicle, such as its characteristics, specifications, price, fuel economy, quietness, acceleration, taxes, and insurance.

[0012] "Searching" refers to the process of locating information from a database that matches or conforms to the entered criteria.

[0013] "Analyzing" refers to the process of evaluating the searched vehicle information based on conditions and finding the best option.

[0014] "Display" refers to visualizing the information received from the server means on the user's terminal means.

[0015] "Detailed information" refers to more specific data about a particular vehicle model, such as price, performance, customer reviews, etc.

[0016] "Purchase procedure" refers to the series of steps (such as input forms, filling in payment information, and confirmation procedures) that a user must go through to actually purchase the selected vehicle model.

[0017] "Insurance enrollment procedure" refers to the series of steps required to sign up for the necessary insurance for the selected vehicle model. [Brief explanation of the drawings]

[0018] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7]FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0019] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

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

[0021] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

[0022] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0023] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0024] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0025] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0026] [First embodiment]

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

[0028] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0029] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0030] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0031] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0032] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0033] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

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

[0035] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0036] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0037] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0038] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0039] This system allows users to input their desired conditions and quickly and easily select the light vehicle that best suits those conditions. This system is composed of a terminal operated by the user, a server that receives and processes the input data from the user, and a terminal that displays the processed results.

[0040] Basic system configuration

[0041] First, the user launches the application on their device. An interface is displayed on the device that allows the user to input the conditions for the light vehicle they are looking for. This interface includes items such as price, fuel efficiency, quietness, acceleration, annual mileage, number of passengers, leisure / work use, tax, insurance, and mileage charges.

[0042] Process User Input

[0043] The user enters the conditions for each item into the interface, and the terminal then formats the entered data (e.g., JSON format) and sends it to the server.

[0044] Server processing process

[0045] The server receives the data sent from the device and analyzes it, which includes the following steps:

[0046] 1. Search the database for vehicle information that matches the criteria.

[0047] 2. Evaluate the detailed characteristics of each vehicle model against the user's criteria to further refine the search results.

[0048] For example, if a user inputs conditions such as "price less than 1 million yen," "fuel efficiency of 20km / L or more," and "quietness: as quiet as possible," the server will first extract models priced under 1 million yen, then narrow down the results to models with fuel efficiency of 20km / L or more. Furthermore, it will prioritize models with high quietness ratings based on customer reviews of each model.

[0049] Generate a list of optimal car models

[0050] The server generates a list of filtered vehicle information and sends it to the user's device. The list includes detailed information about each vehicle, such as its price, fuel economy, and quietness rating.

[0051] Displaying results and providing detailed information

[0052] The device parses the list of car models received from the server and displays it in an appropriate format for the user. When the user selects a specific car model from the list, a detailed information page for that car model is displayed. The detailed information page provides the user with the necessary information to consider purchasing, such as price, fuel economy, quietness rating, and insurance plans.

[0053] Assistance with purchasing procedures and insurance enrollment procedures

[0054] If the user decides to purchase the selected vehicle model, the terminal will guide them through the purchase procedure. The user enters the necessary information into a designated form and sends it to the server to confirm the purchase reservation. The terminal also simultaneously assists with the insurance application process, providing integrated support for selecting and completing the appropriate insurance plan.

[0055] In this way, the system of the present invention not only provides a series of processes for quickly and easily selecting the optimal light vehicle based on the user's desired conditions, but also efficiently supports the purchasing procedures and insurance application procedures.

[0056] The processing flow will be explained below.

[0057] Step 1:

[0058] The user starts the application, and the device displays an interface for the user to input the conditions for the desired light vehicle.

[0059] Step 2:

[0060] The user inputs their desired conditions through the interface, such as price, fuel economy, quietness, acceleration, annual mileage, number of passengers, leisure / work use, taxes, insurance, and mileage charges.

[0061] Step 3:

[0062] The terminal validates the data entered, reformats it if necessary, and converts it to an appropriate format, such as JSON.

[0063] Step 4:

[0064] The device sends the formatted data to the server as an HTTP request, which includes the user's desired conditions.

[0065] Step 5:

[0066] The server receives the request, analyzes the data, and prepares to search the database based on the desired criteria.

[0067] Step 6:

[0068] The server searches the database and extracts information on car models that match the user's desired criteria. Specifically, it filters out car models that match each criteria, such as price less than 1 million yen and fuel efficiency of 20km / L or more.

[0069] Step 7:

[0070] The server analyzes the details of the vehicle information extracted, evaluating factors such as quietness and acceleration based on customer reviews and the characteristics of each vehicle model, and narrowing down the most suitable vehicle.

[0071] Step 8:

[0072] The server generates a list of the most suitable vehicles, including detailed information such as price, fuel economy, quietness rating, and acceleration for each vehicle.

[0073] Step 9:

[0074] The server converts the generated vehicle list into JSON or XML format, and sends the converted data to the device as an HTTP response.

[0075] Step 10:

[0076] The device analyzes the data received from the server. The analysis results are displayed in an appropriate format for the user. For example, it may display "The light vehicles that best suit your requirements are as follows" and display a list of specific vehicle information (Vehicle Type A, Vehicle Type B, etc.).

[0077] Step 11:

[0078] The user selects a specific vehicle from the list. The device displays a page detailing the selected vehicle, including price, fuel economy, quietness, and customer reviews.

[0079] Step 12:

[0080] If the user decides to purchase, the device displays a purchase procedure guide and input form. The user enters the necessary information and sends it to the server to confirm the purchase reservation.

[0081] Step 13:

[0082] The server accepts the purchase reservation and notifies the dealer. The terminal displays a transaction completion notice to the user and guides them through the next steps (confirming the delivery date, applying for insurance, etc.).

[0083] Step 14:

[0084] The device assists the user in the insurance application process, allowing them to select the appropriate insurance plan and providing instructions to complete the process.

[0085] Example 1

[0086] 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."

[0087] Selecting a car is a complicated and time-consuming task for users, and selecting the optimal light vehicle that meets many requirements requires extremely complex information processing. Furthermore, there are few systems that can efficiently handle the purchasing and insurance procedures. Therefore, there is a need for a system that allows users to quickly and easily select the optimal light vehicle based on their desired conditions, and also provides integrated support for the purchasing and insurance procedures.

[0088] 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.

[0089] In this invention, the server includes means for analyzing the received desired conditions and searching for suitable vehicle information from a database, means for evaluating and filtering the analyzed information, and means for generating an optimal vehicle list and transmitting it to the terminal means. This allows the user to quickly and easily select the optimal light vehicle based on the conditions entered by the user. In addition, the generated vehicle list can be displayed on the terminal, allowing the user to efficiently provide detailed information and complete the purchase and insurance procedures.

[0090] The "interface means" refers to an operation screen or input device for the user to input desired conditions.

[0091] "Terminal means" refers to a device operated by a user, which has the function of formatting input desired conditions and sending them to a server, and also of displaying received information.

[0092] "Server means" refers to a computer system that receives and analyzes data sent from the terminal means, searches for related information from a database, generates an optimal vehicle model list, and sends it to the terminal means.

[0093] "Database" refers to an information management system that stores vehicle information, price, fuel efficiency, quietness, and other characteristic information.

[0094] The "evaluation means" refers to the function of the server means to analyze the retrieved vehicle model information, and evaluate and filter the information based on the conditions entered by the user.

[0095] The "car model list" refers to a list of the best car models that meet the user's requirements.

[0096] "Detailed information" refers to information necessary for making a purchasing decision, such as the attributes, price, fuel efficiency, quietness, and insurance plan of each vehicle model included in the vehicle list.

[0097] "Purchase procedure support means" refers to functions such as providing guidance and forms to help the user smoothly proceed with the purchase procedure for the vehicle model selected.

[0098] "Insurance application procedure support means" refers to a function that, after the user selects a vehicle model, suggests an appropriate insurance plan and supports the application procedure.

[0099] The present invention is a system that allows users to input their desired conditions and quickly and easily select the light vehicle that best suits those conditions. The system is composed of a terminal operated by the user, a server that receives and processes the input data from the user, and a terminal that displays the processed results.

[0100] First, the user launches the application on their device. An interface is displayed on the device that allows the user to input the conditions for the light vehicle they are looking for. This interface includes items such as price, fuel efficiency, quietness, acceleration, annual mileage, number of passengers, purpose of use (leisure, work, etc.), tax, insurance, and driving costs.

[0101] When the user enters the conditions for each item into the interface, the terminal converts the entered data into a format such as JSON and sends it to the server using the SSL / TLS protocol to ensure security.

[0102] The server receives the data sent from the terminal and analyzes it. Data analysis involves parsing the received data and using it to search for matching vehicle information from a database. For example, if a user enters conditions such as "price less than 1 million yen," "fuel efficiency of 20 km / L or more," and "quietness: as quiet as possible," the server will first extract vehicles priced under 1 million yen, then narrow down the search to vehicles with fuel efficiency of 20 km / L or more. It will then prioritize vehicles with a high quietness rating based on customer reviews.

[0103] The server generates a list of vehicle information after filtering and rating, converts this list into JSON format, and sends it to the terminal. The list includes detailed information about each vehicle, such as price, fuel efficiency, and quietness rating.

[0104] The device analyzes the list of car models received from the server and displays it in an appropriate format for the user. When the user selects a specific car model from the list, a detailed information page for that car model is displayed. This detailed information page provides the user with the necessary information to consider purchasing, such as price, fuel economy, quietness rating, and insurance plans.

[0105] If the user decides to purchase the selected vehicle model, the terminal will guide them through the purchase procedure. The user enters the necessary information into a designated form and submits it to the server to confirm the purchase reservation. The terminal also simultaneously assists with the insurance application process, providing integrated support for selecting the appropriate insurance plan and completing the procedure.

[0106] Specific examples

[0107] If a user enters into a terminal, "I'm looking for a minicar priced at under 1 million yen with a fuel economy of at least 20 km / L. I also want a vehicle that is very quiet," the server will search for and evaluate the best minicars based on these criteria, generate a list of them, and send it to the terminal. The user can then review the list and click on a car model they're interested in to view more information. They can then follow the instructions for the purchase and insurance procedures.

[0108] In this way, the system provides a series of processes for users to quickly and easily select the optimal light vehicle based on their desired conditions, and also efficiently supports the purchasing and insurance procedures.

[0109] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0110] Step 1:

[0111] The user launches the application using a device. Using the interface displayed on the initial screen, the user inputs the desired criteria for the minicar. For example, the user can input criteria such as "price: under 1 million yen," "fuel economy: over 20 km / L," and "quietness: as quiet as possible." The input data is temporarily stored on the device.

[0112] Input: The user enters the desired conditions into the interface.

[0113] Output: Input desired condition data

[0114] Specific behavior:

[0115] The user inputs the conditions using the touch screen or keyboard, and then presses the "Submit" button.

[0116] Step 2:

[0117] The terminal formats the conditions entered by the user into JSON format and sends it to the server using the SSL / TLS protocol to ensure security.

[0118] Input: Desired condition data entered by the user

[0119] Output: JSON formatted preference data

[0120] Specific behavior:

[0121] The terminal converts the entered conditions such as price, fuel efficiency, and quietness into a JSON format such as {"price": "under 1 million yen", "fuelEfficiency": "over 20km / L", "quietness": "quiet"} and sends it to the server.

[0122] Step 3:

[0123] The server receives the JSON data sent from the device, parses it, and converts each condition into a query to prepare for database search.

[0124] Input: JSON format desired conditions data

[0125] Output: Data query

[0126] Specific behavior:

[0127] The server parses the received JSON data and converts each condition into an SQL query or similar search query, for example, price <= 100 AND fuelEfficiency >= 20.

[0128] Step 4:

[0129] The server searches the database to extract vehicle information that matches the user's criteria, then analyzes the extracted information and evaluates the characteristics of each vehicle (price, fuel efficiency, quietness, etc.) against the user's criteria.

[0130] Input: Data Query

[0131] Output: Vehicle model information as search results

[0132] Specific behavior:

[0133] The server executes a database query to list vehicle models that meet the criteria, analyzing customer reviews and giving high ratings to quieter models.

[0134] Step 5:

[0135] The server generates a list of optimal vehicle models based on the evaluated vehicle model data, converts this list into JSON format, etc., and sends it to the terminal.

[0136] Input: Evaluated vehicle model data

[0137] Output: Optimal car model list (JSON format)

[0138] Specific behavior:

[0139] The server generates a list, converts it into a format like {"cars": [{"name": "Car A", "price": "950,000 yen", "fuelEfficiency": "22km / L", "quietness": "4.5"}, {"name": "Car B", "price": "980,000 yen", "fuelEfficiency": "21km / L", "quietness": "4.0"}]}, and sends it to the terminal.

[0140] Step 6:

[0141] The terminal analyzes the list of car models received from the server and displays it in an appropriate format for the user. The list of car models includes detailed information such as price, fuel efficiency, and quietness rating for each car model.

[0142] Input: Optimal car model list (JSON format)

[0143] Output: A list of cars displayed to the user

[0144] Specific behavior:

[0145] The device displays the list in a table, listing each car's price, fuel economy, and quietness, and users can click on each car to view more information.

[0146] Step 7:

[0147] When a user selects a specific vehicle from the list, they are taken to a detailed information page for that vehicle, which includes information such as price, fuel economy, quietness rating, and insurance options.

[0148] Input: Selected vehicle model

[0149] Output:Detailed information page

[0150] Specific behavior:

[0151] When the user selects "Car A," a detailed page for that model is displayed, displaying information such as price, fuel efficiency, and quietness.

[0152] Step 8:

[0153] If the user decides to purchase the selected car model, the terminal displays a purchase procedure form. The user enters the necessary information and submits it to the server to confirm the purchase reservation.

[0154] Input: Purchase information entered by the user

[0155] Output: Purchase completion notification

[0156] Specific behavior:

[0157] The terminal displays an input form for name, address, contact information, etc., and when the user enters the information and presses the send button, the data is sent to the server.

[0158] Step 9:

[0159] The device also assists with the insurance application process, assisting users in selecting and completing the appropriate insurance plan. Based on the insurance plan selected by the user, the device inputs and submits the necessary information.

[0160] Input: User selected insurance plan and input information

[0161] Output: Notification of completion of insurance application procedure

[0162] Specific behavior:

[0163] The terminal displays multiple insurance plans, and when the user selects one, it displays the necessary documents and input form. When the user enters the information and submits it, the data is sent to the server.

[0164] (Application example 1)

[0165] 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."

[0166] Although systems already exist that allow users to quickly and easily select the optimal minicar based on their desired conditions, it is difficult to provide an experience similar to that of the real world. Furthermore, there are still not enough systems available that allow users to select a vehicle more intuitively, such as by using voice input to input conditions or by using visual displays using augmented reality (AR) technology. This leaves users unable to get a realistic feel for the vehicle when selecting the optimal minicar based on their desired conditions.

[0167] 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.

[0168] In this invention, the server includes an interface means for inputting desired conditions by the user, a terminal means for receiving the desired conditions input by the user, a server means for searching a database for suitable vehicle model information based on the received desired conditions, a server means for analyzing the searched vehicle model information and generating an optimal vehicle model list, a means for transmitting the generated vehicle model list to the terminal means and displaying it, a display means for displaying the generated vehicle model list in an augmented reality space so that the user can check it in real time, a voice recognition means for accepting voice input in real time, and a means for displaying detailed information of a vehicle selected from the displayed vehicle model list in the augmented reality space. This allows the user to intuitively input conditions by voice, and enables the user to quickly and easily select the optimal minicar in a more realistic manner through visual displays using augmented reality technology.

[0169] A "user" is an individual or corporation that uses the system to select a light vehicle based on desired conditions.

[0170] "Desired conditions" refer to criteria such as price, fuel economy, quietness, acceleration, annual mileage, number of passengers, leisure use, taxes, insurance, and toll charges that users specify when selecting a light vehicle.

[0171] The "interface means" refers to an input device or input method used by the user to input desired conditions, and includes voice recognition, touch operation, and the like.

[0172] "Terminal means" refers to a device that allows a user to input desired conditions using an interface means and displays the results, and refers to a smartphone, tablet, PC, smart glasses, head-mounted display, etc.

[0173] The "server means" is a computing device on a network that searches for and analyzes information on suitable vehicle models from a database based on the desired conditions received from the terminal means.

[0174] The "database" is an information management system that stores various information about light vehicles.

[0175] "Vehicle information" refers to detailed data on the price, fuel economy, quietness, acceleration, annual mileage, number of passengers, leisure use, taxes, insurance, mileage, etc. of light vehicles.

[0176] The "optimal vehicle model list" is a list of recommended minicars that is generated as a result of searching and analyzing the database based on the desired conditions received.

[0177] The "display means" is a function for transmitting the optimum vehicle model list generated by the server means to the terminal means and visually displaying it.

[0178] "Augmented reality space" refers to a state in which virtual reality information is overlaid on real-world information, and is a technology that allows users to display virtual objects and information in their actual space.

[0179] "Speech recognition means" refers to technology that converts a user's voice input into text data, and interprets voice commands for use within the system.

[0180] "Detailed information" refers to additional data required to consider a purchase, such as the price, fuel economy, quietness rating, and insurance plan of the selected minicar.

[0181] The present invention is a system for quickly and easily selecting the optimum light vehicle based on the user's desired conditions, and this system is implemented using a user terminal, a server, and augmented reality technology.

[0182] Basic system configuration

[0183] Users access the system using smart glasses or a head-mounted display (HMD). The user terminal is equipped with voice recognition and augmented reality (AR) display functions. Users can input their desired conditions using voice commands or gestures.

[0184] Process User Input

[0185] The user wears the smart device and issues a voice command to activate the system. For example, the system will begin operation once it recognizes a voice input such as "Activate the system and search for a car." The user then enters the conditions for each item (price, fuel economy, quietness, etc.) by voice. At this time, voice recognition technology such as the Google Speech-to-Text API is used to convert the voice data into text data and send it to the server.

[0186] Server processing process

[0187] The server receives and analyzes the text data sent from the device. The server is connected to a database, and searches the database for vehicle information that matches the received conditions. For example, if conditions such as a price of less than 1 million yen and a fuel efficiency of 20 km / L or more are specified, the server will first search for vehicles priced under 1 million yen, and then narrow down the results to those with a fuel efficiency of 20 km / L or more. Once vehicle information that matches the conditions is obtained, a list of optimal vehicles is generated.

[0188] Displaying results and providing detailed information

[0189] The generated list of optimal car models is sent to the terminal and displayed in an augmented reality space on the user's smart device. The user can visually check the listed car models in the virtual space through smart glasses or an HMD. To see more information, the user inputs further voice commands about the selected car model. For example, if the user inputs "Tell me more about this car," the server will provide more information. The augmented reality technology used is ARCore and ARKit.

[0190] Assistance with purchasing procedures and insurance enrollment procedures

[0191] Once a user selects a specific car model and decides to purchase it, they can complete the purchase and insurance procedures directly in the virtual store. The server manages the data required for these procedures and assists the user in completing the procedures using voice and gesture controls.

[0192] Examples of concrete examples and prompts

[0193] For example, if a user says, "I'm looking for a car with a fuel efficiency of 20km / L or more and that is quiet," a selection of light vehicles that meet the criteria will be displayed in the augmented reality space. Users can visually check the cars and obtain more detailed information about their favorite models by voice.

[0194] Example prompt for a generative AI model:

[0195] Design a smart device application that allows users to input their desired criteria for a minicar using voice commands and displays models that match those criteria in augmented reality. The conditions for use will be obtained using the Google Speech-to-Text API, and vehicle information will be displayed using ARCore. The specific conditions that users will input will be three items: price, fuel economy, and quietness. Build a system that sends these in JSON format to the server, obtains the filtering results, and then displays them in AR.

[0196] In this way, the system of the present invention combines voice recognition and augmented reality technology to efficiently support the process of users selecting the optimal minicar based on their desired conditions.

[0197] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0198] Step 1:

[0199] The user wears smart glasses or a head-mounted display and issues a voice command to start the system. For example, the user might say, "Start the system and search for a car." The input data is acquired as voice data, and the voice recognition library converts it into text data (data processing), which is then converted into a command called "Start the system." This converted text data is processed on the device, and the system is started.

[0200] input:

[0201] User's voice command: "Wake up the system and find my car."

[0202] output:

[0203] Text data "System startup instructions"

[0204] System startup triggers

[0205] Step 2:

[0206] After the system is launched, the user enters the desired vehicle conditions by voice. For example, "I'm looking for a car with a fuel efficiency of 20km / L or more and that is quiet." Speech recognition technology (Google Speech-to-Text API) converts this into text data and formats it as the conditions. This formatted data is then sent from the device to the server.

[0207] input:

[0208] User's voice command: "I'm looking for a car with a fuel efficiency of 20km / L or more and a very quiet car."

[0209] output:

[0210] Text data: "Fuel efficiency of over 20km / L, very quiet"

[0211] JSON format desired conditions data

[0212] Step 3:

[0213] The server receives the condition data sent from the device. Based on the received data, it searches the database for suitable vehicle information. In this process, it first filters by price, then by fuel economy, and then by noise level, and creates a list of the most suitable vehicles (data calculation). The resulting list is then formatted in JSON format and sent to the device.

[0214] input:

[0215] JSON format desired conditions data

[0216] output:

[0217] Optimal car model list (JSON format)

[0218] Step 4:

[0219] The device receives the list of optimal car models from the server and displays it in the augmented reality space. The user can visually check the list of car models through smart glasses or an HMD. Augmented reality technology (ARCore / ARKit) manages the list display and displays it superimposed on the real world.

[0220] input:

[0221] Optimal car model list (JSON format)

[0222] output:

[0223] A list of car models is displayed visually in the augmented reality space

[0224] Step 5:

[0225] The user selects a car model they are interested in from a list of models displayed in the augmented reality space and inputs a voice command to obtain detailed information about it, such as "Tell me more about this car." Speech recognition technology again converts this into text data, and a request is sent to the server.

[0226] input:

[0227] User's voice command: "Tell me more about this car"

[0228] output:

[0229] Text data "More information request"

[0230] Step 6:

[0231] Based on the request received from the device, the server retrieves detailed information about the selected vehicle model from the database. The retrieved detailed information is formatted in JSON format and sent to the device. During this process, information is retrieved from the database and data is processed.

[0232] input:

[0233] Text data "More information request"

[0234] output:

[0235] Detailed information (JSON format)

[0236] Step 7:

[0237] The device then displays the received details in the augmented reality space. Once the user has confirmed the details, if they wish to purchase or apply for insurance, they can do so using voice commands. These voice commands are then converted into text data using voice recognition technology and sent to the server.

[0238] input:

[0239] Detailed information (JSON format)

[0240] output:

[0241] Visualize detailed information in an augmented reality space

[0242] Through this process, users can use voice recognition and augmented reality technology to visually select the most suitable minicar based on their desired conditions, check detailed information, and smoothly complete the purchase and insurance procedures.

[0243] 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.

[0244] This invention is a system that allows users to input their desired conditions and quickly and easily select the light vehicle that best suits those conditions. This system is composed of a terminal operated by the user, a server that receives and processes the input data from the user, and a terminal that displays the processed results. In addition, by combining it with an emotion engine that recognizes the user's emotions, it becomes possible to propose more personalized vehicle models.

[0245] Basic system configuration

[0246] First, the user launches the application on their device. An interface is displayed on the device that allows the user to input the conditions for the light vehicle they are looking for. This interface includes items such as price, fuel economy, quietness, acceleration, annual mileage, number of passengers, leisure / work use, tax, insurance, and mileage charges.

[0247] Process User Input

[0248] The user inputs their desired conditions through the interface. The device formats the input data (e.g., JSON format) and sends it to the server. The emotion engine then analyzes the user's emotions from their facial expressions, voice, or text data, and sends the analysis results to the server.

[0249] Server processing process

[0250] The server receives the data sent from the device and analyzes it, which includes the following steps:

[0251] 1. Search the database for vehicle information that matches the criteria.

[0252] 2. Taking into account the user's emotional data sent from the emotion engine, the detailed characteristics of each vehicle model are evaluated and the vehicle model that best suits the user is selected.

[0253] For example, if a user inputs conditions such as "price under 1 million yen," "fuel economy of 20 km / L or more," and "quietness: as quiet as possible," the server will first extract models priced under 1 million yen, then narrow down the results to models with fuel economy of 20 km / L or more. Next, it will prioritize models with high ratings for quietness based on the user's word-of-mouth data for each model. Furthermore, the final model selection will be made based on the user's emotions (for example, whether they are stressed or looking for fun) analyzed by the emotion engine.

[0254] Generate a list of optimal car models

[0255] The server generates a list of the filtered vehicle information and sends it to the user's terminal. This list includes detailed information about each vehicle, such as its price, fuel economy, and comfort rating.

[0256] Displaying results and providing detailed information

[0257] The device analyzes the list of vehicle models received from the server and displays it in an appropriate format for the user. When the user selects a specific vehicle model from the list, a detailed information page for that vehicle model is displayed. The detailed information page provides the information the user needs to consider purchasing, such as price, fuel economy, comfort rating, and insurance plans. Furthermore, the display and presentation method can be dynamically changed based on the analysis results of the emotion engine.

[0258] Assistance with purchasing procedures and insurance enrollment procedures

[0259] If the user decides to purchase the selected vehicle model, the terminal will guide them through the purchase procedure. The user enters the necessary information into a designated form and sends it to the server to confirm the purchase reservation. The terminal also simultaneously assists with the insurance application process, providing integrated support for selecting and completing the appropriate insurance plan.

[0260] In this way, the system of the present invention not only provides a series of processes for quickly and easily selecting the optimal light vehicle based on the user's desired conditions, but also utilizes an emotion engine to make more personalized suggestions and efficiently support the purchasing and insurance procedures.

[0261] The processing flow will be explained below.

[0262] Step 1:

[0263] The user starts the application, and the device displays an interface for the user to input the conditions for the desired light vehicle.

[0264] Step 2:

[0265] The user inputs their desired conditions through the interface, such as price, fuel economy, quietness, acceleration, annual mileage, number of passengers, leisure / work use, taxes, insurance, and mileage charges.

[0266] Step 3:

[0267] The device formats the input data (e.g., JSON format), and at the same time, the device's built-in emotion engine analyzes the user's emotions from facial expressions, voice, or text data.

[0268] Step 4:

[0269] The device sends the formatted data and the analysis results of the emotion engine to the server using an HTTP request.

[0270] Step 5:

[0271] The server receives the request, analyzes the data, and prepares to search the database based on the desired criteria.

[0272] Step 6:

[0273] The server searches the database and extracts information on car models that match the user's desired criteria. Specifically, it filters out car models that match each criteria, such as price less than 1 million yen and fuel efficiency of 20km / L or more.

[0274] Step 7:

[0275] The server analyzes the details of the vehicle information extracted. Based on customer reviews and the characteristics of each vehicle, it evaluates quietness and acceleration, etc., and narrows down the most suitable vehicle. It also takes into account emotional data from the emotion engine to select the vehicle that best suits the user's emotions.

[0276] Step 8:

[0277] The server generates a list of the most suitable vehicles, including detailed information such as price, fuel economy, quietness rating, and acceleration for each vehicle.

[0278] Step 9:

[0279] The server converts the generated vehicle list into JSON or XML format, and sends the converted data to the device as an HTTP response.

[0280] Step 10:

[0281] The device analyzes the data received from the server. The analysis results are displayed in an appropriate format for the user. For example, it may display "The light vehicles that best suit your requirements are as follows" and display a list of specific vehicle information (Vehicle Type A, Vehicle Type B, etc.).

[0282] Step 11:

[0283] The user selects a specific car model from the list. The device displays a detailed information page for the selected car model, including price, fuel economy, quietness, and customer reviews. The display and presentation method also dynamically changes based on the analysis results of the emotion engine.

[0284] Step 12:

[0285] If the user decides to purchase, the device displays a purchase procedure guide and input form. The user enters the necessary information and sends it to the server to confirm the purchase reservation.

[0286] Step 13:

[0287] The server accepts the purchase reservation and notifies the dealer. The terminal displays a transaction completion notice to the user and guides them through the next steps (confirming the delivery date, applying for insurance, etc.).

[0288] Step 14:

[0289] The device assists the user in the insurance application process, allowing them to select the appropriate insurance plan and providing instructions to complete the process.

[0290] Example 2

[0291] 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."

[0292] Conventional vehicle selection systems provide vehicle information by considering only the user's desired conditions, which results in a problem of being unable to make suggestions that reflect the user's emotions or individual preferences. This makes it difficult for users to make an optimal selection based on their emotions and conditions, and they may be dissatisfied with the selection results. The present invention aims to solve this problem and provide a system that allows users to quickly and easily select a more optimal vehicle model by making personalized suggestions that take the user's emotions into consideration.

[0293] 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 an interface means for inputting desired conditions by the user, a terminal means for receiving the desired conditions input by the user, a server means for searching a database for suitable vehicle model information based on the received desired conditions and emotion data, a server means for analyzing the emotion data and combining it with the received desired conditions to generate an optimal vehicle model list, and a means for transmitting the generated vehicle model list to the terminal means and displaying it. This makes it possible to propose personalized vehicle models that take the user's emotions into consideration, thereby increasing user satisfaction.

[0294] "User" means an individual or legal entity that uses the system and enters criteria for the purpose of selecting and purchasing a vehicle.

[0295] "Interface means" refers to a screen or form for the user to input desired conditions, or an application function, and is the means by which the user interacts with the system.

[0296] "Terminal means" refers to a device used by a user, such as a computer, smartphone, or tablet, and is a means for sending input data to a server and receiving information from the server.

[0297] "Server means" refers to a computer system for managing a database, analyzing condition data and emotion data received from users, and searching for and listing information on suitable vehicle models.

[0298] "Emotion data" is data that indicates the user's emotions and psychological state analyzed from facial expressions, voice, text, etc.

[0299] "Database" refers to an information management system that stores information such as vehicle model information, price, fuel efficiency, and quietness evaluation.

[0300] "Vehicle information" is detailed data about a specific vehicle model, including information such as price, fuel efficiency, quietness, acceleration, annual mileage, number of passengers, use, taxes, insurance, and mileage charges.

[0301] "Analysis" refers to the process of processing and evaluating received data based on certain rules and algorithms to derive meaningful information.

[0302] "Generate" refers to the act of creating new data or lists based on the analysis results, which in this system means creating an optimal vehicle model list.

[0303] "Display means" refers to the function of the device screen or application for visually presenting the optimal vehicle model list and detailed information sent from the server to the user.

[0304] This invention is a system for selecting the optimal minicar based on the conditions entered by a user desiring a car. The system includes a terminal operated by the user, a server that receives and processes the data entered by the user, and a terminal that displays the processed results. In addition, by combining it with an emotion engine that analyzes the user's emotions, it becomes possible to propose more personalized car models.

[0305] The device used by the user

[0306] The user launches the application using a device such as a smartphone, tablet, or PC. This application displays an interface that allows the user to input the conditions for the light vehicle they desire. The interface includes items such as price, fuel economy, quietness, acceleration, annual mileage, number of passengers, purpose (leisure / work), tax, insurance, and mileage charges. The user can input specific conditions for these items.

[0307] Data analysis by the server

[0308] The conditions entered by the user through the interface are sent from the device to the server. At this time, the data is formatted in JSON, and the emotional data analyzed by the emotion engine is also sent to the server. The server receives this data and first searches its database for vehicle information that matches the conditions.

[0309] Specifically, the server does the following:

[0310] 1. Based on the price item, extract car models that do not exceed the upper price limit.

[0311] 2. Use fuel economy as a criterion to narrow down your search to cars that meet or exceed your desired fuel economy.

[0312] 3. Evaluate customer reviews and other data regarding quietness, and prioritize models that meet those criteria.

[0313] The server also considers the user's emotional data sent from the emotion engine and applies evaluation criteria according to the user's emotions, such as selecting a car model that will help them relax if they are feeling stressed.

[0314] Generate and send a list of optimal vehicles

[0315] The server generates a list of optimal vehicle models based on the analysis results. This list includes detailed information about each vehicle, such as price, fuel efficiency, and quietness. The generated list is then sent to the user's device.

[0316] Displaying results and providing detailed information on the device

[0317] The device displays the received list of car models to the user. When the user selects a specific car model from the list, a detailed information page for that car model is displayed. This page provides the information the user needs to consider purchasing, such as price, fuel efficiency, quietness, and insurance plans. It is also possible to dynamically change the content and presentation method displayed based on the analysis results of the emotion engine.

[0318] Assistance with purchasing procedures and insurance enrollment procedures

[0319] When the user decides to purchase the selected vehicle model, the terminal guides them through the purchase procedure. The user enters the necessary information into a designated form and sends it to the server to confirm the purchase reservation. The terminal also assists with the insurance application process, providing comprehensive support for selecting and completing the appropriate insurance plan.

[0320] For example, if a user wants a car that is quiet and comfortable, priced under 1 million yen, and has a fuel economy of 20km / L or better, the prompt would look like this:

[0321] Example prompt sentence:

[0322] User: I'm looking for a light car that costs less than 1 million yen and has a fuel economy of 20km / L or more. I'd also like it to be quiet and comfortable.

[0323] system:

[0324] 1. Have the user enter their desired conditions.

[0325] 2. Convert the input data into JSON format and send it to the server.

[0326] 3. Analyze the user's emotions using the emotion engine and send the analyzed data to the server.

[0327] 4. The server searches the database for the relevant car model and selects the appropriate car model taking into account the emotional data.

[0328] 5. Generate the final vehicle list and send it to the user's device.

[0329] 6. The device displays the received list to the user and also provides a detailed information page.

[0330] 7. Assist users in the purchasing and insurance procedures for the vehicle they have selected.

[0331] In this way, the present invention provides a system for quickly and easily selecting the most suitable light vehicle based on the user's desired conditions and feelings.

[0332] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0333] Step 1: Launching the Application

[0334] The user launches the application using the terminal. Input: The user operates the terminal. Output: An interface for entering the conditions for a light vehicle is displayed on the terminal. The interface displays the following items: price, fuel efficiency, quietness, acceleration, annual mileage, number of passengers, purpose, tax, insurance, and mileage charges.

[0335] Step 2: Enter the conditions

[0336] The user inputs the desired criteria for a minicar through the interface. Input: The user inputs each criteria into the form. Output: The criteria data is saved on the terminal. As a concrete example, the user can select a car that is priced under 1 million yen, has a fuel efficiency of 20km / L or more, and is quiet.

[0337] Step 3: Convert data format and send

[0338] The device formats the input data into JSON format. Input: Condition data entered by the user. Output: Data converted into JSON format. This data is then ready to be sent to the server. At the same time, the device starts an emotion engine, which collects emotion data from the user's facial expressions and voice, converts it into JSON format, and sends it to the server.

[0339] Step 4: Receiving and analyzing data

[0340] The server receives JSON data sent from the device. Input: Condition data and emotion data sent from the device. Output: Internal data structure for analyzing the received data. The server first begins searching the database for vehicle model information that matches the conditions.

[0341] Step 5: Search based on criteria

[0342] The server searches the database based on the received condition data. Input: Parsed condition data in JSON format. Output: List of car models that match the conditions. As a specific example, the server first extracts car models priced under 1 million yen, and then narrows them down to cars with a fuel efficiency of 20 km / L or more.

[0343] Step 6: Consider and evaluate the sentiment data

[0344] The server analyzes the user's emotional data obtained from the emotion engine and uses it to narrow down the search criteria. Input: Analyzed emotional data. Output: A list of car models that best fit the user's emotional state. For example, if the user is looking for a relaxing experience, quieter cars will be prioritized on the list.

[0345] Step 7: Generate a list of optimal vehicles

[0346] The server generates a list of optimal car models based on the analysis of the condition data and emotion data. Input: A narrowed-down list of car models. Output: A list of optimal car models. This list includes detailed information such as price, fuel efficiency, and quietness.

[0347] Step 8: Submit your list

[0348] The server sends the generated list of optimal car models to the terminal. Input: Generated car model list. Output: Data sent to the user's terminal. The user can check this list on the terminal.

[0349] Step 9: View the list and provide more information

[0350] The terminal displays the received car model list to the user. Input: Car model list data sent from the server. Output: Car model list displayed on the screen. When the user selects a specific car model, a detailed information page for that car model is displayed.

[0351] Step 10: Purchase and Insurance Process Guidance

[0352] The terminal guides the user through the purchase procedure for the vehicle model selected. Input: Data on the specific vehicle model selected by the user. Output: A purchase procedure form and instructions are displayed. The user enters the purchase information and sends it to the server to confirm the purchase reservation. The terminal also assists with insurance enrollment procedures, supporting the selection and procedure of an appropriate insurance plan.

[0353] The above is the specific flow of the system's program processing.

[0354] (Application example 2)

[0355] 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."

[0356] Conventional car model selection systems select cars based solely on the user's desired conditions, which means they are unable to provide personalized recommendations that take into account the user's emotions and psychological state. Furthermore, conventional systems do not provide sufficient support for the purchasing and insurance procedures, placing a heavy burden on users. It is desirable to address these issues.

[0357] 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.

[0358] In this invention, the server includes emotion analysis means for analyzing the user's emotions, means for searching a database for suitable vehicle model information based on the received desired conditions, and means for generating an optimal vehicle model list based on the searched vehicle model information and the emotion analysis results. This makes it possible to propose personalized vehicle models that take the user's emotions into consideration, and further reduces the burden on the user by supporting the purchase procedure and insurance application procedure.

[0359] The term "interface means" refers to an operation screen or input device for the user to input desired conditions.

[0360] "Terminal means" refers to a device that receives desired conditions input by a user, such as a smartphone or a personal computer.

[0361] The term "server means" refers to a central processing unit that searches for and processes information on suitable vehicle models from a database based on the received desired conditions.

[0362] "Emotion analysis means" refers to software or a system that recognizes emotions by analyzing the user's facial expressions and voice data.

[0363] "Scheme" in this context means a process or method for transmitting and displaying the generated vehicle list to a terminal means.

[0364] "Database" means an integrated system in which vehicle information and user requirements data are stored.

[0365] The "optimal car model list" refers to a list of the most suitable car models for purchase, selected based on the user's desired conditions and the results of sentiment analysis.

[0366] "Means to support purchasing procedures and insurance application procedures" means a system that guides users through the procedures for purchasing a vehicle and introduces and selects an appropriate insurance plan.

[0367] This invention is a system that allows users to input their desired conditions and quickly and easily select the light vehicle that best suits those conditions. This system is composed of a terminal operated by the user, a server that receives and processes the input data from the user, and a terminal that displays the processed results. In addition, by combining it with an emotion analysis means that recognizes the user's emotions, it becomes possible to propose more personalized vehicle models.

[0368] User condition input and sentiment analysis

[0369] The user launches the application on the device, and an interface is displayed on the device that allows the user to input the conditions for the light vehicle they desire. This interface includes items such as price, fuel efficiency, quietness, acceleration, annual mileage, number of passengers, leisure use, tax, insurance, and mileage charges.

[0370] When the user inputs their desired conditions through the interface, the device formats the input data (e.g., JSON format) and sends it to the server. In addition, the emotion analysis means analyzes the user's emotions from their facial expressions and voice and sends the results to the server.

[0371] Server processing

[0372] The server receives the input data and sentiment analysis results sent by the user and analyzes them. The analysis includes the following processes:

[0373] 1. Data search: The server searches the database for vehicle information that matches the user's desired conditions.

[0374] 2. Use of sentiment analysis results: Taking into account the user sentiment data sent from the sentiment analysis means, the detailed characteristics of each vehicle model are evaluated.

[0375] 3. Selection of the optimal vehicle model: Based on the user's conditions and the results of sentiment analysis, the most suitable vehicle model for the user is selected.

[0376] For example, if a user inputs conditions such as "price less than 1 million yen," "fuel efficiency of 20km / L or more," and "quietness: as quiet as possible," and the emotion of "expectation" is detected as a result of the emotion analysis, the system will narrow down the search to models priced under 1 million yen, select models with a fuel efficiency of 20km / L or more, and then prioritize models with a high rating for quietness. The final selection will be made taking into account the emotion analysis results.

[0377] Generate and display a list of optimal vehicle models

[0378] The server generates a list of filtered vehicle information and sends this list to the user's device. The user's device receives the optimal vehicle list and displays it in an appropriate format. When the user selects a specific vehicle from the list, a detailed information page for that vehicle is displayed. The detailed information page contains information the user needs to consider purchasing, such as price, fuel efficiency, quietness rating, and insurance plans.

[0379] Assistance with purchasing procedures and insurance enrollment procedures

[0380] If the user decides to purchase the selected vehicle model, the terminal will guide them through the purchase procedure. The user enters the necessary information into a designated form and sends it to the server to confirm the purchase reservation. The terminal also simultaneously assists with the insurance application procedure, running a program that selects and proposes an appropriate insurance plan to the user.

[0381] Hardware and software used

[0382] Hardware: Smartphone (camera, microphone)

[0383] Software: Sentiment analysis engine, database management system

[0384] As a concrete example, if the user inputs "price less than 1 million yen," "fuel economy over 20km / L," and "quietness: as quiet as possible," and emotion analysis detects the emotion of "expectation," the following prompt sentence will be used:

[0385] "When a user inputs 'price under 1 million yen', 'fuel economy over 20km / L', and 'quietness: as quiet as possible', and emotion analysis detects the emotion of 'expectation,' design a process to select the most suitable minicar and display detailed information."

[0386] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0387] Step 1:

[0388] The user starts the application on the terminal and inputs the desired conditions for the light vehicle.

[0389] Input: price, fuel economy, quietness, acceleration, annual mileage, number of passengers, leisure use, tax, insurance, mileage

[0390] Output: Formatted input data (e.g. JSON format)

[0391] Specific operation: When the user enters the desired conditions into the interface and presses the "Submit" button, the input data is formatted in JSON format.

[0392] Step 2:

[0393] Emotions are analyzed from the user's facial expressions and voice recorded on the device.

[0394] Input: User's facial expression data, voice data

[0395] Output: Emotional analysis results (e.g. expectations, anxiety, excitement)

[0396] Specific operation: The device's camera and microphone capture the user's facial expressions and voice, and send them to the emotion analysis engine for analysis.

[0397] Step 3:

[0398] The device sends the input data and emotion analysis results to the server.

[0399] Input: Formatted input data, sentiment analysis results

[0400] Output: Data sent to the server

[0401] Specific operation: The device sends the input data in JSON format and the emotion analysis results to the server's API endpoint as a POST request.

[0402] Step 4:

[0403] The server analyzes the input data received from the user and searches the database for vehicle model information that matches the conditions.

[0404] Input: User's desired conditions data, emotion analysis results

[0405] Output: Searched vehicle information

[0406] Specific operation: The server executes a database query to retrieve vehicle information that meets the specified criteria.

[0407] Step 5:

[0408] The server takes into account the results of the sentiment analysis, evaluates the detailed characteristics of each vehicle model, and generates a list of optimal vehicle models.

[0409] Input: Searched car model information, emotion analysis results

[0410] Output: Best car model list

[0411] Specific operation: Based on the results of sentiment analysis, user reviews and evaluation data for each vehicle model are taken into consideration, and an evaluation score is calculated to create a list of optimal vehicle models.

[0412] Step 6:

[0413] The server transmits the generated vehicle model list to the terminal.

[0414] Input: Best car model list

[0415] Output: List of car models sent to the terminal

[0416] Specific operation: The server sends the list of car models to the terminal in JSON format.

[0417] Step 7:

[0418] The terminal displays the received list of vehicle models to the user and provides a function for accessing a page of detailed information.

[0419] Input: Best car model list

[0420] Output: The car list and detailed information page displayed to the user

[0421] Specific operation: The device parses the received list of car models and displays it to the user in an appropriate format. When the user selects a specific car model, a detailed information page for that car model is displayed.

[0422] Step 8:

[0423] The user completes the purchase and insurance procedures for the vehicle model selected.

[0424] Input: User-selected vehicle information, information required for purchase and insurance application

[0425] Output: Confirmation of purchase reservation, selection and procedure of insurance plan

[0426] Specific operation: The user enters the necessary information into the form and presses the submit button to send it to the server. The server confirms the purchase reservation and proposes and selects an appropriate insurance plan.

[0427] 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.

[0428] 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.

[0429] 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.

[0430] [Second embodiment]

[0431] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0432] 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.

[0433] 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).

[0434] 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.

[0435] 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.

[0436] 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).

[0437] 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.

[0438] 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.

[0439] 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.

[0440] 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.

[0441] 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.

[0442] 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."

[0443] This system allows users to input their desired conditions and quickly and easily select the light vehicle that best suits those conditions. This system is composed of a terminal operated by the user, a server that receives and processes the input data from the user, and a terminal that displays the processed results.

[0444] Basic system configuration

[0445] First, the user launches the application on their device. An interface is displayed on the device that allows the user to input the conditions for the light vehicle they are looking for. This interface includes items such as price, fuel efficiency, quietness, acceleration, annual mileage, number of passengers, leisure / work use, tax, insurance, and mileage charges.

[0446] Process User Input

[0447] The user enters the conditions for each item into the interface, and the terminal then formats the entered data (e.g., JSON format) and sends it to the server.

[0448] Server processing process

[0449] The server receives the data sent from the device and analyzes it, which includes the following steps:

[0450] 1. Search the database for vehicle information that matches the criteria.

[0451] 2. Evaluate the detailed characteristics of each vehicle model against the user's criteria to further refine the search results.

[0452] For example, if a user inputs conditions such as "price less than 1 million yen," "fuel efficiency of 20km / L or more," and "quietness: as quiet as possible," the server will first extract models priced under 1 million yen, then narrow down the results to models with fuel efficiency of 20km / L or more. Furthermore, it will prioritize models with high quietness ratings based on customer reviews of each model.

[0453] Generate a list of optimal car models

[0454] The server generates a list of filtered vehicle information and sends it to the user's device. The list includes detailed information about each vehicle, such as its price, fuel economy, and quietness rating.

[0455] Displaying results and providing detailed information

[0456] The device parses the list of car models received from the server and displays it in an appropriate format for the user. When the user selects a specific car model from the list, a detailed information page for that car model is displayed. The detailed information page provides the user with the necessary information to consider purchasing, such as price, fuel economy, quietness rating, and insurance plans.

[0457] Assistance with purchasing procedures and insurance enrollment procedures

[0458] If the user decides to purchase the selected vehicle model, the terminal will guide them through the purchase procedure. The user enters the necessary information into a designated form and sends it to the server to confirm the purchase reservation. The terminal also simultaneously assists with the insurance application process, providing integrated support for selecting and completing the appropriate insurance plan.

[0459] In this way, the system of the present invention not only provides a series of processes for quickly and easily selecting the optimal light vehicle based on the user's desired conditions, but also efficiently supports the purchasing procedures and insurance application procedures.

[0460] The processing flow will be explained below.

[0461] Step 1:

[0462] The user starts the application, and the device displays an interface for the user to input the conditions for the desired light vehicle.

[0463] Step 2:

[0464] The user inputs their desired conditions through the interface, such as price, fuel economy, quietness, acceleration, annual mileage, number of passengers, leisure / work use, taxes, insurance, and mileage charges.

[0465] Step 3:

[0466] The terminal validates the data entered, reformats it if necessary, and converts it to an appropriate format, such as JSON.

[0467] Step 4:

[0468] The device sends the formatted data to the server as an HTTP request, which includes the user's desired conditions.

[0469] Step 5:

[0470] The server receives the request, analyzes the data, and prepares to search the database based on the desired criteria.

[0471] Step 6:

[0472] The server searches the database and extracts information on car models that match the user's desired criteria. Specifically, it filters out car models that match each criteria, such as price less than 1 million yen and fuel efficiency of 20km / L or more.

[0473] Step 7:

[0474] The server analyzes the details of the vehicle information extracted, evaluating factors such as quietness and acceleration based on customer reviews and the characteristics of each vehicle model, and narrowing down the most suitable vehicle.

[0475] Step 8:

[0476] The server generates a list of the most suitable vehicles, including detailed information such as price, fuel economy, quietness rating, and acceleration for each vehicle.

[0477] Step 9:

[0478] The server converts the generated vehicle list into JSON or XML format, and sends the converted data to the device as an HTTP response.

[0479] Step 10:

[0480] The device analyzes the data received from the server. The analysis results are displayed in an appropriate format for the user. For example, it may display "The light vehicles that best suit your requirements are as follows" and display a list of specific vehicle information (Vehicle Type A, Vehicle Type B, etc.).

[0481] Step 11:

[0482] The user selects a specific vehicle from the list. The device displays a page detailing the selected vehicle, including price, fuel economy, quietness, and customer reviews.

[0483] Step 12:

[0484] If the user decides to purchase, the device displays a purchase procedure guide and input form. The user enters the necessary information and sends it to the server to confirm the purchase reservation.

[0485] Step 13:

[0486] The server accepts the purchase reservation and notifies the dealer. The terminal displays a transaction completion notice to the user and guides them through the next steps (confirming the delivery date, applying for insurance, etc.).

[0487] Step 14:

[0488] The device assists the user in the insurance application process, allowing them to select the appropriate insurance plan and providing instructions to complete the process.

[0489] Example 1

[0490] 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."

[0491] Selecting a car is a complicated and time-consuming task for users, and selecting the optimal light vehicle that meets many requirements requires extremely complex information processing. Furthermore, there are few systems that can efficiently handle the purchasing and insurance procedures. Therefore, there is a need for a system that allows users to quickly and easily select the optimal light vehicle based on their desired conditions, and also provides integrated support for the purchasing and insurance procedures.

[0492] 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.

[0493] In this invention, the server includes means for analyzing the received desired conditions and searching for suitable vehicle information from a database, means for evaluating and filtering the analyzed information, and means for generating an optimal vehicle list and transmitting it to the terminal means. This allows the user to quickly and easily select the optimal light vehicle based on the conditions entered by the user. In addition, the generated vehicle list can be displayed on the terminal, allowing the user to efficiently provide detailed information and complete the purchase and insurance procedures.

[0494] The "interface means" refers to an operation screen or input device for the user to input desired conditions.

[0495] "Terminal means" refers to a device operated by a user, which has the function of formatting input desired conditions and sending them to a server, and also of displaying received information.

[0496] "Server means" refers to a computer system that receives and analyzes data sent from the terminal means, searches for related information from a database, generates an optimal vehicle model list, and sends it to the terminal means.

[0497] "Database" refers to an information management system that stores vehicle information, price, fuel efficiency, quietness, and other characteristic information.

[0498] The "evaluation means" refers to the function of the server means to analyze the retrieved vehicle model information, and evaluate and filter the information based on the conditions entered by the user.

[0499] The "car model list" refers to a list of the best car models that meet the user's requirements.

[0500] "Detailed information" refers to information necessary for making a purchasing decision, such as the attributes, price, fuel efficiency, quietness, and insurance plan of each vehicle model included in the vehicle list.

[0501] "Purchase procedure support means" refers to functions such as providing guidance and forms to help the user smoothly proceed with the purchase procedure for the vehicle model selected.

[0502] "Insurance application procedure support means" refers to a function that, after the user selects a vehicle model, suggests an appropriate insurance plan and supports the application procedure.

[0503] The present invention is a system that allows users to input their desired conditions and quickly and easily select the light vehicle that best suits those conditions. The system is composed of a terminal operated by the user, a server that receives and processes the input data from the user, and a terminal that displays the processed results.

[0504] First, the user launches the application on their device. An interface is displayed on the device that allows the user to input the conditions for the light vehicle they are looking for. This interface includes items such as price, fuel efficiency, quietness, acceleration, annual mileage, number of passengers, purpose of use (leisure, work, etc.), tax, insurance, and driving costs.

[0505] When the user enters the conditions for each item into the interface, the terminal converts the entered data into a format such as JSON and sends it to the server using the SSL / TLS protocol to ensure security.

[0506] The server receives the data sent from the terminal and analyzes it. Data analysis involves parsing the received data and using it to search for matching vehicle information from a database. For example, if a user enters conditions such as "price less than 1 million yen," "fuel efficiency of 20 km / L or more," and "quietness: as quiet as possible," the server will first extract vehicles priced under 1 million yen, then narrow down the search to vehicles with fuel efficiency of 20 km / L or more. It will then prioritize vehicles with a high quietness rating based on customer reviews.

[0507] The server generates a list of vehicle information after filtering and rating, converts this list into JSON format, and sends it to the terminal. The list includes detailed information about each vehicle, such as price, fuel efficiency, and quietness rating.

[0508] The device analyzes the list of car models received from the server and displays it in an appropriate format for the user. When the user selects a specific car model from the list, a detailed information page for that car model is displayed. This detailed information page provides the user with the necessary information to consider purchasing, such as price, fuel economy, quietness rating, and insurance plans.

[0509] If the user decides to purchase the selected vehicle model, the terminal will guide them through the purchase procedure. The user enters the necessary information into a designated form and submits it to the server to confirm the purchase reservation. The terminal also simultaneously assists with the insurance application process, providing integrated support for selecting the appropriate insurance plan and completing the procedure.

[0510] Specific examples

[0511] If a user enters into a terminal, "I'm looking for a minicar priced at under 1 million yen with a fuel economy of at least 20 km / L. I also want a vehicle that is very quiet," the server will search for and evaluate the best minicars based on these criteria, generate a list of them, and send it to the terminal. The user can then review the list and click on a car model they're interested in to view more information. They can then follow the instructions for the purchase and insurance procedures.

[0512] In this way, the system provides a series of processes for users to quickly and easily select the optimal light vehicle based on their desired conditions, and also efficiently supports the purchasing and insurance procedures.

[0513] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0514] Step 1:

[0515] The user launches the application using a device. Using the interface displayed on the initial screen, the user inputs the desired criteria for the minicar. For example, the user can input criteria such as "price: under 1 million yen," "fuel economy: over 20 km / L," and "quietness: as quiet as possible." The input data is temporarily stored on the device.

[0516] Input: The user enters the desired conditions into the interface.

[0517] Output: Input desired condition data

[0518] Specific behavior:

[0519] The user inputs the conditions using the touch screen or keyboard, and then presses the "Submit" button.

[0520] Step 2:

[0521] The terminal formats the conditions entered by the user into JSON format and sends it to the server using the SSL / TLS protocol to ensure security.

[0522] Input: Desired condition data entered by the user

[0523] Output: JSON formatted preference data

[0524] Specific behavior:

[0525] The terminal converts the entered conditions such as price, fuel efficiency, and quietness into a JSON format such as {"price": "under 1 million yen", "fuelEfficiency": "over 20km / L", "quietness": "quiet"} and sends it to the server.

[0526] Step 3:

[0527] The server receives the JSON data sent from the device, parses it, and converts each condition into a query to prepare for database search.

[0528] Input: JSON format desired conditions data

[0529] Output: Data query

[0530] Specific behavior:

[0531] The server parses the received JSON data and converts each condition into an SQL query or similar search query, for example, price <= 100 AND fuelEfficiency >= 20.

[0532] Step 4:

[0533] The server searches the database to extract vehicle information that matches the user's criteria, then analyzes the extracted information and evaluates the characteristics of each vehicle (price, fuel efficiency, quietness, etc.) against the user's criteria.

[0534] Input: Data Query

[0535] Output: Vehicle model information as search results

[0536] Specific behavior:

[0537] The server executes a database query to list vehicle models that meet the criteria, analyzing customer reviews and giving high ratings to quieter models.

[0538] Step 5:

[0539] The server generates a list of optimal vehicle models based on the evaluated vehicle model data, converts this list into JSON format, etc., and sends it to the terminal.

[0540] Input: Evaluated vehicle model data

[0541] Output: Optimal car model list (JSON format)

[0542] Specific behavior:

[0543] The server generates a list, converts it into a format like {"cars": [{"name": "Car A", "price": "950,000 yen", "fuelEfficiency": "22km / L", "quietness": "4.5"}, {"name": "Car B", "price": "980,000 yen", "fuelEfficiency": "21km / L", "quietness": "4.0"}]}, and sends it to the terminal.

[0544] Step 6:

[0545] The terminal analyzes the list of car models received from the server and displays it in an appropriate format for the user. The list of car models includes detailed information such as price, fuel efficiency, and quietness rating for each car model.

[0546] Input: Optimal car model list (JSON format)

[0547] Output: A list of cars displayed to the user

[0548] Specific behavior:

[0549] The device displays the list in a table, listing each car's price, fuel economy, and quietness, and users can click on each car to view more information.

[0550] Step 7:

[0551] When a user selects a specific vehicle from the list, they are taken to a detailed information page for that vehicle, which includes information such as price, fuel economy, quietness rating, and insurance options.

[0552] Input: Selected vehicle model

[0553] Output:Detailed information page

[0554] Specific behavior:

[0555] When the user selects "Car A," a detailed page for that model is displayed, displaying information such as price, fuel efficiency, and quietness.

[0556] Step 8:

[0557] If the user decides to purchase the selected car model, the terminal displays a purchase procedure form. The user enters the necessary information and submits it to the server to confirm the purchase reservation.

[0558] Input: Purchase information entered by the user

[0559] Output: Purchase completion notification

[0560] Specific behavior:

[0561] The terminal displays an input form for name, address, contact information, etc., and when the user enters the information and presses the send button, the data is sent to the server.

[0562] Step 9:

[0563] The device also assists with the insurance application process, assisting users in selecting and completing the appropriate insurance plan. Based on the insurance plan selected by the user, the device inputs and submits the necessary information.

[0564] Input: User selected insurance plan and input information

[0565] Output: Notification of completion of insurance application procedure

[0566] Specific behavior:

[0567] The terminal displays multiple insurance plans, and when the user selects one, it displays the necessary documents and input form. When the user enters the information and submits it, the data is sent to the server.

[0568] (Application example 1)

[0569] 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."

[0570] Although systems already exist that allow users to quickly and easily select the optimal minicar based on their desired conditions, it is difficult to provide an experience similar to that of the real world. Furthermore, there are still not enough systems available that allow users to select a vehicle more intuitively, such as by using voice input to input conditions or by using visual displays using augmented reality (AR) technology. This leaves users unable to get a realistic feel for the vehicle when selecting the optimal minicar based on their desired conditions.

[0571] 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.

[0572] In this invention, the server includes an interface means for inputting desired conditions by the user, a terminal means for receiving the desired conditions input by the user, a server means for searching a database for suitable vehicle model information based on the received desired conditions, a server means for analyzing the searched vehicle model information and generating an optimal vehicle model list, a means for transmitting the generated vehicle model list to the terminal means and displaying it, a display means for displaying the generated vehicle model list in an augmented reality space so that the user can check it in real time, a voice recognition means for accepting voice input in real time, and a means for displaying detailed information of a vehicle selected from the displayed vehicle model list in the augmented reality space. This allows the user to intuitively input conditions by voice, and enables the user to quickly and easily select the optimal minicar in a more realistic manner through visual displays using augmented reality technology.

[0573] A "user" is an individual or corporation that uses the system to select a light vehicle based on desired conditions.

[0574] "Desired conditions" refer to criteria such as price, fuel economy, quietness, acceleration, annual mileage, number of passengers, leisure use, taxes, insurance, and toll charges that users specify when selecting a light vehicle.

[0575] The "interface means" refers to an input device or input method used by the user to input desired conditions, and includes voice recognition, touch operation, and the like.

[0576] "Terminal means" refers to a device that allows a user to input desired conditions using an interface means and displays the results, and refers to a smartphone, tablet, PC, smart glasses, head-mounted display, etc.

[0577] The "server means" is a computing device on a network that searches for and analyzes information on suitable vehicle models from a database based on the desired conditions received from the terminal means.

[0578] The "database" is an information management system that stores various information about light vehicles.

[0579] "Vehicle information" refers to detailed data on the price, fuel economy, quietness, acceleration, annual mileage, number of passengers, leisure use, taxes, insurance, mileage, etc. of light vehicles.

[0580] The "optimal vehicle model list" is a list of recommended minicars that is generated as a result of searching and analyzing the database based on the desired conditions received.

[0581] The "display means" is a function for transmitting the optimum vehicle model list generated by the server means to the terminal means and visually displaying it.

[0582] "Augmented reality space" refers to a state in which virtual reality information is overlaid on real-world information, and is a technology that allows users to display virtual objects and information in their actual space.

[0583] "Speech recognition means" refers to technology that converts a user's voice input into text data, and interprets voice commands for use within the system.

[0584] "Detailed information" refers to additional data required to consider a purchase, such as the price, fuel economy, quietness rating, and insurance plan of the selected minicar.

[0585] The present invention is a system for quickly and easily selecting the optimum light vehicle based on the user's desired conditions, and this system is implemented using a user terminal, a server, and augmented reality technology.

[0586] Basic system configuration

[0587] Users access the system using smart glasses or a head-mounted display (HMD). The user terminal is equipped with voice recognition and augmented reality (AR) display functions. Users can input their desired conditions using voice commands or gestures.

[0588] Process User Input

[0589] The user wears the smart device and issues a voice command to activate the system. For example, the system will begin operation once it recognizes a voice input such as "Activate the system and search for a car." The user then enters the conditions for each item (price, fuel economy, quietness, etc.) by voice. At this time, voice recognition technology such as the Google Speech-to-Text API is used to convert the voice data into text data and send it to the server.

[0590] Server processing process

[0591] The server receives and analyzes the text data sent from the device. The server is connected to a database, and searches the database for vehicle information that matches the received conditions. For example, if conditions such as a price of less than 1 million yen and a fuel efficiency of 20 km / L or more are specified, the server will first search for vehicles priced under 1 million yen, and then narrow down the results to those with a fuel efficiency of 20 km / L or more. Once vehicle information that matches the conditions is obtained, a list of optimal vehicles is generated.

[0592] Displaying results and providing detailed information

[0593] The generated list of optimal car models is sent to the terminal and displayed in an augmented reality space on the user's smart device. The user can visually check the listed car models in the virtual space through smart glasses or an HMD. To see more information, the user inputs further voice commands about the selected car model. For example, if the user inputs "Tell me more about this car," the server will provide more information. The augmented reality technology used is ARCore and ARKit.

[0594] Assistance with purchasing procedures and insurance enrollment procedures

[0595] Once a user selects a specific car model and decides to purchase it, they can complete the purchase and insurance procedures directly in the virtual store. The server manages the data required for these procedures and assists the user in completing the procedures using voice and gesture controls.

[0596] Examples of concrete examples and prompts

[0597] For example, if a user says, "I'm looking for a car with a fuel efficiency of 20km / L or more and that is quiet," a selection of light vehicles that meet the criteria will be displayed in the augmented reality space. Users can visually check the cars and obtain more detailed information about their favorite models by voice.

[0598] Example prompt for a generative AI model:

[0599] Design a smart device application that allows users to input their desired criteria for a minicar using voice commands and displays models that match those criteria in augmented reality. The conditions for use will be obtained using the Google Speech-to-Text API, and vehicle information will be displayed using ARCore. The specific conditions that users will input will be three items: price, fuel economy, and quietness. Build a system that sends these in JSON format to the server, obtains the filtering results, and then displays them in AR.

[0600] In this way, the system of the present invention combines voice recognition and augmented reality technology to efficiently support the process of users selecting the optimal minicar based on their desired conditions.

[0601] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0602] Step 1:

[0603] The user wears smart glasses or a head-mounted display and issues a voice command to start the system. For example, the user might say, "Start the system and search for a car." The input data is acquired as voice data, and the voice recognition library converts it into text data (data processing), which is then converted into a command called "Start the system." This converted text data is processed on the device, and the system is started.

[0604] input:

[0605] User's voice command: "Wake up the system and find my car."

[0606] output:

[0607] Text data "System startup instructions"

[0608] System startup triggers

[0609] Step 2:

[0610] After the system is launched, the user enters the desired vehicle conditions by voice. For example, "I'm looking for a car with a fuel efficiency of 20km / L or more and that is quiet." Speech recognition technology (Google Speech-to-Text API) converts this into text data and formats it as the conditions. This formatted data is then sent from the device to the server.

[0611] input:

[0612] User's voice command: "I'm looking for a car with a fuel efficiency of 20km / L or more and a very quiet car."

[0613] output:

[0614] Text data: "Fuel efficiency of over 20km / L, very quiet"

[0615] JSON format desired conditions data

[0616] Step 3:

[0617] The server receives the condition data sent from the device. Based on the received data, it searches the database for suitable vehicle information. In this process, it first filters by price, then by fuel economy, and then by noise level, and creates a list of the most suitable vehicles (data calculation). The resulting list is then formatted in JSON format and sent to the device.

[0618] input:

[0619] JSON format desired conditions data

[0620] output:

[0621] Optimal car model list (JSON format)

[0622] Step 4:

[0623] The device receives the list of optimal car models from the server and displays it in the augmented reality space. The user can visually check the list of car models through smart glasses or an HMD. Augmented reality technology (ARCore / ARKit) manages the list display and displays it superimposed on the real world.

[0624] input:

[0625] Optimal car model list (JSON format)

[0626] output:

[0627] A list of car models is displayed visually in the augmented reality space

[0628] Step 5:

[0629] The user selects a car model they are interested in from a list of models displayed in the augmented reality space and inputs a voice command to obtain detailed information about it, such as "Tell me more about this car." Speech recognition technology again converts this into text data, and a request is sent to the server.

[0630] input:

[0631] User's voice command: "Tell me more about this car"

[0632] output:

[0633] Text data "More information request"

[0634] Step 6:

[0635] Based on the request received from the device, the server retrieves detailed information about the selected vehicle model from the database. The retrieved detailed information is formatted in JSON format and sent to the device. During this process, information is retrieved from the database and data is processed.

[0636] input:

[0637] Text data "More information request"

[0638] output:

[0639] Detailed information (JSON format)

[0640] Step 7:

[0641] The device then displays the received details in the augmented reality space. Once the user has confirmed the details, if they wish to purchase or apply for insurance, they can do so using voice commands. These voice commands are then converted into text data using voice recognition technology and sent to the server.

[0642] input:

[0643] Detailed information (JSON format)

[0644] output:

[0645] Visualize detailed information in an augmented reality space

[0646] Through this process, users can use voice recognition and augmented reality technology to visually select the most suitable minicar based on their desired conditions, check detailed information, and smoothly complete the purchase and insurance procedures.

[0647] 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.

[0648] This invention is a system that allows users to input their desired conditions and quickly and easily select the light vehicle that best suits those conditions. This system is composed of a terminal operated by the user, a server that receives and processes the input data from the user, and a terminal that displays the processed results. In addition, by combining it with an emotion engine that recognizes the user's emotions, it becomes possible to propose more personalized vehicle models.

[0649] Basic system configuration

[0650] First, the user launches the application on their device. An interface is displayed on the device that allows the user to input the conditions for the light vehicle they are looking for. This interface includes items such as price, fuel economy, quietness, acceleration, annual mileage, number of passengers, leisure / work use, tax, insurance, and mileage charges.

[0651] Process User Input

[0652] The user inputs their desired conditions through the interface. The device formats the input data (e.g., JSON format) and sends it to the server. The emotion engine then analyzes the user's emotions from their facial expressions, voice, or text data, and sends the analysis results to the server.

[0653] Server processing process

[0654] The server receives the data sent from the device and analyzes it, which includes the following steps:

[0655] 1. Search the database for vehicle information that matches the criteria.

[0656] 2. Taking into account the user's emotional data sent from the emotion engine, the detailed characteristics of each vehicle model are evaluated and the vehicle model that best suits the user is selected.

[0657] For example, if a user inputs conditions such as "price under 1 million yen," "fuel economy of 20 km / L or more," and "quietness: as quiet as possible," the server will first extract models priced under 1 million yen, then narrow down the results to models with fuel economy of 20 km / L or more. Next, it will prioritize models with high ratings for quietness based on the user's word-of-mouth data for each model. Furthermore, the final model selection will be made based on the user's emotions (for example, whether they are stressed or looking for fun) analyzed by the emotion engine.

[0658] Generate a list of optimal car models

[0659] The server generates a list of the filtered vehicle information and sends it to the user's terminal. This list includes detailed information about each vehicle, such as its price, fuel economy, and comfort rating.

[0660] Displaying results and providing detailed information

[0661] The device analyzes the list of vehicle models received from the server and displays it in an appropriate format for the user. When the user selects a specific vehicle model from the list, a detailed information page for that vehicle model is displayed. The detailed information page provides the information the user needs to consider purchasing, such as price, fuel economy, comfort rating, and insurance plans. Furthermore, the display and presentation method can be dynamically changed based on the analysis results of the emotion engine.

[0662] Assistance with purchasing procedures and insurance enrollment procedures

[0663] If the user decides to purchase the selected vehicle model, the terminal will guide them through the purchase procedure. The user enters the necessary information into a designated form and sends it to the server to confirm the purchase reservation. The terminal also simultaneously assists with the insurance application process, providing integrated support for selecting and completing the appropriate insurance plan.

[0664] In this way, the system of the present invention not only provides a series of processes for quickly and easily selecting the optimal light vehicle based on the user's desired conditions, but also utilizes an emotion engine to make more personalized suggestions and efficiently support the purchasing and insurance procedures.

[0665] The processing flow will be explained below.

[0666] Step 1:

[0667] The user starts the application, and the device displays an interface for the user to input the conditions for the desired light vehicle.

[0668] Step 2:

[0669] The user inputs their desired conditions through the interface, such as price, fuel economy, quietness, acceleration, annual mileage, number of passengers, leisure / work use, taxes, insurance, and mileage charges.

[0670] Step 3:

[0671] The device formats the input data (e.g., JSON format), and at the same time, the device's built-in emotion engine analyzes the user's emotions from facial expressions, voice, or text data.

[0672] Step 4:

[0673] The device sends the formatted data and the analysis results of the emotion engine to the server using an HTTP request.

[0674] Step 5:

[0675] The server receives the request, analyzes the data, and prepares to search the database based on the desired criteria.

[0676] Step 6:

[0677] The server searches the database and extracts information on car models that match the user's desired criteria. Specifically, it filters out car models that match each criteria, such as price less than 1 million yen and fuel efficiency of 20km / L or more.

[0678] Step 7:

[0679] The server analyzes the details of the vehicle information extracted. Based on customer reviews and the characteristics of each vehicle, it evaluates quietness and acceleration, etc., and narrows down the most suitable vehicle. It also takes into account emotional data from the emotion engine to select the vehicle that best suits the user's emotions.

[0680] Step 8:

[0681] The server generates a list of the most suitable vehicles, including detailed information such as price, fuel economy, quietness rating, and acceleration for each vehicle.

[0682] Step 9:

[0683] The server converts the generated vehicle list into JSON or XML format, and sends the converted data to the device as an HTTP response.

[0684] Step 10:

[0685] The device analyzes the data received from the server. The analysis results are displayed in an appropriate format for the user. For example, it may display "The light vehicles that best suit your requirements are as follows" and display a list of specific vehicle information (Vehicle Type A, Vehicle Type B, etc.).

[0686] Step 11:

[0687] The user selects a specific car model from the list. The device displays a detailed information page for the selected car model, including price, fuel economy, quietness, and customer reviews. The display and presentation method also dynamically changes based on the analysis results of the emotion engine.

[0688] Step 12:

[0689] If the user decides to purchase, the device displays a purchase procedure guide and input form. The user enters the necessary information and sends it to the server to confirm the purchase reservation.

[0690] Step 13:

[0691] The server accepts the purchase reservation and notifies the dealer. The terminal displays a transaction completion notice to the user and guides them through the next steps (confirming the delivery date, applying for insurance, etc.).

[0692] Step 14:

[0693] The device assists the user in the insurance application process, allowing them to select the appropriate insurance plan and providing instructions to complete the process.

[0694] Example 2

[0695] 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."

[0696] Conventional vehicle selection systems provide vehicle information by considering only the user's desired conditions, which results in a problem of being unable to make suggestions that reflect the user's emotions or individual preferences. This makes it difficult for users to make an optimal selection based on their emotions and conditions, and they may be dissatisfied with the selection results. The present invention aims to solve this problem and provide a system that allows users to quickly and easily select a more optimal vehicle model by making personalized suggestions that take the user's emotions into consideration.

[0697] 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 an interface means for inputting desired conditions by the user, a terminal means for receiving the desired conditions input by the user, a server means for searching a database for suitable vehicle model information based on the received desired conditions and emotion data, a server means for analyzing the emotion data and combining it with the received desired conditions to generate an optimal vehicle model list, and a means for transmitting the generated vehicle model list to the terminal means and displaying it. This makes it possible to propose personalized vehicle models that take the user's emotions into consideration, thereby increasing user satisfaction.

[0698] "User" means an individual or legal entity that uses the system and enters criteria for the purpose of selecting and purchasing a vehicle.

[0699] "Interface means" refers to a screen or form for the user to input desired conditions, or an application function, and is the means by which the user interacts with the system.

[0700] "Terminal means" refers to a device used by a user, such as a computer, smartphone, or tablet, and is a means for sending input data to a server and receiving information from the server.

[0701] "Server means" refers to a computer system for managing a database, analyzing condition data and emotion data received from users, and searching for and listing information on suitable vehicle models.

[0702] "Emotion data" is data that indicates the user's emotions and psychological state analyzed from facial expressions, voice, text, etc.

[0703] "Database" refers to an information management system that stores information such as vehicle model information, price, fuel efficiency, and quietness evaluation.

[0704] "Vehicle information" is detailed data about a specific vehicle model, including information such as price, fuel efficiency, quietness, acceleration, annual mileage, number of passengers, use, taxes, insurance, and mileage charges.

[0705] "Analysis" refers to the process of processing and evaluating received data based on certain rules and algorithms to derive meaningful information.

[0706] "Generate" refers to the act of creating new data or lists based on the analysis results, which in this system means creating an optimal vehicle model list.

[0707] "Display means" refers to the function of the device screen or application for visually presenting the optimal vehicle model list and detailed information sent from the server to the user.

[0708] This invention is a system for selecting the optimal minicar based on the conditions entered by a user desiring a car. The system includes a terminal operated by the user, a server that receives and processes the data entered by the user, and a terminal that displays the processed results. In addition, by combining it with an emotion engine that analyzes the user's emotions, it becomes possible to propose more personalized car models.

[0709] The device used by the user

[0710] The user launches the application using a device such as a smartphone, tablet, or PC. This application displays an interface that allows the user to input the conditions for the light vehicle they desire. The interface includes items such as price, fuel economy, quietness, acceleration, annual mileage, number of passengers, purpose (leisure / work), tax, insurance, and mileage charges. The user can input specific conditions for these items.

[0711] Data analysis by the server

[0712] The conditions entered by the user through the interface are sent from the device to the server. At this time, the data is formatted in JSON, and the emotional data analyzed by the emotion engine is also sent to the server. The server receives this data and first searches its database for vehicle information that matches the conditions.

[0713] Specifically, the server does the following:

[0714] 1. Based on the price item, extract car models that do not exceed the upper price limit.

[0715] 2. Use fuel economy as a criterion to narrow down your search to cars that meet or exceed your desired fuel economy.

[0716] 3. Evaluate customer reviews and other data regarding quietness, and prioritize models that meet those criteria.

[0717] The server also considers the user's emotional data sent from the emotion engine and applies evaluation criteria according to the user's emotions, such as selecting a car model that will help them relax if they are feeling stressed.

[0718] Generate and send a list of optimal vehicles

[0719] The server generates a list of optimal vehicle models based on the analysis results. This list includes detailed information about each vehicle, such as price, fuel efficiency, and quietness. The generated list is then sent to the user's device.

[0720] Displaying results and providing detailed information on the device

[0721] The device displays the received list of car models to the user. When the user selects a specific car model from the list, a detailed information page for that car model is displayed. This page provides the information the user needs to consider purchasing, such as price, fuel efficiency, quietness, and insurance plans. It is also possible to dynamically change the content and presentation method displayed based on the analysis results of the emotion engine.

[0722] Assistance with purchasing procedures and insurance enrollment procedures

[0723] When the user decides to purchase the selected vehicle model, the terminal guides them through the purchase procedure. The user enters the necessary information into a designated form and sends it to the server to confirm the purchase reservation. The terminal also assists with the insurance application process, providing comprehensive support for selecting and completing the appropriate insurance plan.

[0724] For example, if a user wants a car that is quiet and comfortable, priced under 1 million yen, and has a fuel economy of 20km / L or better, the prompt would look like this:

[0725] Example prompt sentence:

[0726] User: I'm looking for a light car that costs less than 1 million yen and has a fuel economy of 20km / L or more. I'd also like it to be quiet and comfortable.

[0727] system:

[0728] 1. Have the user enter their desired conditions.

[0729] 2. Convert the input data into JSON format and send it to the server.

[0730] 3. Analyze the user's emotions using the emotion engine and send the analyzed data to the server.

[0731] 4. The server searches the database for the relevant car model and selects the appropriate car model taking into account the emotional data.

[0732] 5. Generate the final vehicle list and send it to the user's device.

[0733] 6. The device displays the received list to the user and also provides a detailed information page.

[0734] 7. Assist users in the purchasing and insurance procedures for the vehicle they have selected.

[0735] In this way, the present invention provides a system for quickly and easily selecting the most suitable light vehicle based on the user's desired conditions and feelings.

[0736] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0737] Step 1: Launching the Application

[0738] The user launches the application using the terminal. Input: The user operates the terminal. Output: An interface for entering the conditions for a light vehicle is displayed on the terminal. The interface displays the following items: price, fuel efficiency, quietness, acceleration, annual mileage, number of passengers, purpose, tax, insurance, and mileage charges.

[0739] Step 2: Enter the conditions

[0740] The user inputs the desired criteria for a minicar through the interface. Input: The user inputs each criteria into the form. Output: The criteria data is saved on the terminal. As a concrete example, the user can select a car that is priced under 1 million yen, has a fuel efficiency of 20km / L or more, and is quiet.

[0741] Step 3: Convert data format and send

[0742] The device formats the input data into JSON format. Input: Condition data entered by the user. Output: Data converted into JSON format. This data is then ready to be sent to the server. At the same time, the device starts an emotion engine, which collects emotion data from the user's facial expressions and voice, converts it into JSON format, and sends it to the server.

[0743] Step 4: Receiving and analyzing data

[0744] The server receives JSON data sent from the device. Input: Condition data and emotion data sent from the device. Output: Internal data structure for analyzing the received data. The server first begins searching the database for vehicle model information that matches the conditions.

[0745] Step 5: Search based on criteria

[0746] The server searches the database based on the received condition data. Input: Parsed condition data in JSON format. Output: List of car models that match the conditions. As a specific example, the server first extracts car models priced under 1 million yen, and then narrows them down to cars with a fuel efficiency of 20 km / L or more.

[0747] Step 6: Consider and evaluate the sentiment data

[0748] The server analyzes the user's emotional data obtained from the emotion engine and uses it to narrow down the search criteria. Input: Analyzed emotional data. Output: A list of car models that best fit the user's emotional state. For example, if the user is looking for a relaxing experience, quieter cars will be prioritized on the list.

[0749] Step 7: Generate a list of optimal vehicles

[0750] The server generates a list of optimal car models based on the analysis of the condition data and emotion data. Input: A narrowed-down list of car models. Output: A list of optimal car models. This list includes detailed information such as price, fuel efficiency, and quietness.

[0751] Step 8: Submit your list

[0752] The server sends the generated list of optimal car models to the terminal. Input: Generated car model list. Output: Data sent to the user's terminal. The user can check this list on the terminal.

[0753] Step 9: View the list and provide more information

[0754] The terminal displays the received car model list to the user. Input: Car model list data sent from the server. Output: Car model list displayed on the screen. When the user selects a specific car model, a detailed information page for that car model is displayed.

[0755] Step 10: Purchase and Insurance Process Guidance

[0756] The terminal guides the user through the purchase procedure for the vehicle model selected. Input: Data on the specific vehicle model selected by the user. Output: A purchase procedure form and instructions are displayed. The user enters the purchase information and sends it to the server to confirm the purchase reservation. The terminal also assists with insurance enrollment procedures, supporting the selection and procedure of an appropriate insurance plan.

[0757] The above is the specific flow of the system's program processing.

[0758] (Application example 2)

[0759] 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."

[0760] Conventional car model selection systems select cars based solely on the user's desired conditions, which means they are unable to provide personalized recommendations that take into account the user's emotions and psychological state. Furthermore, conventional systems do not provide sufficient support for the purchasing and insurance procedures, placing a heavy burden on users. It is desirable to address these issues.

[0761] 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.

[0762] In this invention, the server includes emotion analysis means for analyzing the user's emotions, means for searching a database for suitable vehicle model information based on the received desired conditions, and means for generating an optimal vehicle model list based on the searched vehicle model information and the emotion analysis results. This makes it possible to propose personalized vehicle models that take the user's emotions into consideration, and further reduces the burden on the user by supporting the purchase procedure and insurance application procedure.

[0763] The term "interface means" refers to an operation screen or input device for the user to input desired conditions.

[0764] "Terminal means" refers to a device that receives desired conditions input by a user, such as a smartphone or a personal computer.

[0765] The term "server means" refers to a central processing unit that searches for and processes information on suitable vehicle models from a database based on the received desired conditions.

[0766] "Emotion analysis means" refers to software or a system that recognizes emotions by analyzing the user's facial expressions and voice data.

[0767] "Scheme" in this context means a process or method for transmitting and displaying the generated vehicle list to a terminal means.

[0768] "Database" means an integrated system in which vehicle information and user requirements data are stored.

[0769] The "optimal car model list" refers to a list of the most suitable car models for purchase, selected based on the user's desired conditions and the results of sentiment analysis.

[0770] "Means to support purchasing procedures and insurance application procedures" means a system that guides users through the procedures for purchasing a vehicle and introduces and selects an appropriate insurance plan.

[0771] This invention is a system that allows users to input their desired conditions and quickly and easily select the light vehicle that best suits those conditions. This system is composed of a terminal operated by the user, a server that receives and processes the input data from the user, and a terminal that displays the processed results. In addition, by combining it with an emotion analysis means that recognizes the user's emotions, it becomes possible to propose more personalized vehicle models.

[0772] User condition input and sentiment analysis

[0773] The user launches the application on the device, and an interface is displayed on the device that allows the user to input the conditions for the light vehicle they desire. This interface includes items such as price, fuel efficiency, quietness, acceleration, annual mileage, number of passengers, leisure use, tax, insurance, and mileage charges.

[0774] When the user inputs their desired conditions through the interface, the device formats the input data (e.g., JSON format) and sends it to the server. In addition, the emotion analysis means analyzes the user's emotions from their facial expressions and voice and sends the results to the server.

[0775] Server processing

[0776] The server receives the input data and sentiment analysis results sent by the user and analyzes them. The analysis includes the following processes:

[0777] 1. Data search: The server searches the database for vehicle information that matches the user's desired conditions.

[0778] 2. Use of sentiment analysis results: Taking into account the user sentiment data sent from the sentiment analysis means, the detailed characteristics of each vehicle model are evaluated.

[0779] 3. Selection of the optimal vehicle model: Based on the user's conditions and the results of sentiment analysis, the most suitable vehicle model for the user is selected.

[0780] For example, if a user inputs conditions such as "price less than 1 million yen," "fuel efficiency of 20km / L or more," and "quietness: as quiet as possible," and the emotion of "expectation" is detected as a result of the emotion analysis, the system will narrow down the search to models priced under 1 million yen, select models with a fuel efficiency of 20km / L or more, and then prioritize models with a high rating for quietness. The final selection will be made taking into account the emotion analysis results.

[0781] Generate and display a list of optimal vehicle models

[0782] The server generates a list of filtered vehicle information and sends this list to the user's device. The user's device receives the optimal vehicle list and displays it in an appropriate format. When the user selects a specific vehicle from the list, a detailed information page for that vehicle is displayed. The detailed information page contains information the user needs to consider purchasing, such as price, fuel efficiency, quietness rating, and insurance plans.

[0783] Assistance with purchasing procedures and insurance enrollment procedures

[0784] If the user decides to purchase the selected vehicle model, the terminal will guide them through the purchase procedure. The user enters the necessary information into a designated form and sends it to the server to confirm the purchase reservation. The terminal also simultaneously assists with the insurance application procedure, running a program that selects and proposes an appropriate insurance plan to the user.

[0785] Hardware and software used

[0786] Hardware: Smartphone (camera, microphone)

[0787] Software: Sentiment analysis engine, database management system

[0788] As a concrete example, if the user inputs "price less than 1 million yen," "fuel economy over 20km / L," and "quietness: as quiet as possible," and emotion analysis detects the emotion of "expectation," the following prompt sentence will be used:

[0789] "When a user inputs 'price under 1 million yen', 'fuel economy over 20km / L', and 'quietness: as quiet as possible', and emotion analysis detects the emotion of 'expectation,' design a process to select the most suitable minicar and display detailed information."

[0790] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0791] Step 1:

[0792] The user starts the application on the terminal and inputs the desired conditions for the light vehicle.

[0793] Input: price, fuel economy, quietness, acceleration, annual mileage, number of passengers, leisure use, tax, insurance, mileage

[0794] Output: Formatted input data (e.g. JSON format)

[0795] Specific operation: When the user enters the desired conditions into the interface and presses the "Submit" button, the input data is formatted in JSON format.

[0796] Step 2:

[0797] Emotions are analyzed from the user's facial expressions and voice recorded on the device.

[0798] Input: User's facial expression data, voice data

[0799] Output: Emotional analysis results (e.g. expectations, anxiety, excitement)

[0800] Specific operation: The device's camera and microphone capture the user's facial expressions and voice, and send them to the emotion analysis engine for analysis.

[0801] Step 3:

[0802] The device sends the input data and emotion analysis results to the server.

[0803] Input: Formatted input data, sentiment analysis results

[0804] Output: Data sent to the server

[0805] Specific operation: The device sends the input data in JSON format and the emotion analysis results to the server's API endpoint as a POST request.

[0806] Step 4:

[0807] The server analyzes the input data received from the user and searches the database for vehicle model information that matches the conditions.

[0808] Input: User's desired conditions data, emotion analysis results

[0809] Output: Searched vehicle information

[0810] Specific operation: The server executes a database query to retrieve vehicle information that meets the specified criteria.

[0811] Step 5:

[0812] The server takes into account the results of the sentiment analysis, evaluates the detailed characteristics of each vehicle model, and generates a list of optimal vehicle models.

[0813] Input: Searched car model information, emotion analysis results

[0814] Output: Best car model list

[0815] Specific operation: Based on the results of sentiment analysis, user reviews and evaluation data for each vehicle model are taken into consideration, and an evaluation score is calculated to create a list of optimal vehicle models.

[0816] Step 6:

[0817] The server transmits the generated vehicle model list to the terminal.

[0818] Input: Best car model list

[0819] Output: List of car models sent to the terminal

[0820] Specific operation: The server sends the list of car models to the terminal in JSON format.

[0821] Step 7:

[0822] The terminal displays the received list of vehicle models to the user and provides a function for accessing a page of detailed information.

[0823] Input: Best car model list

[0824] Output: The car list and detailed information page displayed to the user

[0825] Specific operation: The device parses the received list of car models and displays it to the user in an appropriate format. When the user selects a specific car model, a detailed information page for that car model is displayed.

[0826] Step 8:

[0827] The user completes the purchase and insurance procedures for the vehicle model selected.

[0828] Input: User-selected vehicle information, information required for purchase and insurance application

[0829] Output: Confirmation of purchase reservation, selection and procedure of insurance plan

[0830] Specific operation: The user enters the necessary information into the form and presses the submit button to send it to the server. The server confirms the purchase reservation and proposes and selects an appropriate insurance plan.

[0831] 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.

[0832] 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.

[0833] 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.

[0834] [Third embodiment]

[0835] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0836] 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.

[0837] 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).

[0838] 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.

[0839] 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.

[0840] 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).

[0841] 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.

[0842] 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.

[0843] 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.

[0844] 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.

[0845] 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.

[0846] 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."

[0847] This system allows users to input their desired conditions and quickly and easily select the light vehicle that best suits those conditions. This system is composed of a terminal operated by the user, a server that receives and processes the input data from the user, and a terminal that displays the processed results.

[0848] Basic system configuration

[0849] First, the user launches the application on their device. An interface is displayed on the device that allows the user to input the conditions for the light vehicle they are looking for. This interface includes items such as price, fuel efficiency, quietness, acceleration, annual mileage, number of passengers, leisure / work use, tax, insurance, and mileage charges.

[0850] Process User Input

[0851] The user enters the conditions for each item into the interface, and the terminal then formats the entered data (e.g., JSON format) and sends it to the server.

[0852] Server processing process

[0853] The server receives the data sent from the device and analyzes it, which includes the following steps:

[0854] 1. Search the database for vehicle information that matches the criteria.

[0855] 2. Evaluate the detailed characteristics of each vehicle model against the user's criteria to further refine the search results.

[0856] For example, if a user inputs conditions such as "price less than 1 million yen," "fuel efficiency of 20km / L or more," and "quietness: as quiet as possible," the server will first extract models priced under 1 million yen, then narrow down the results to models with fuel efficiency of 20km / L or more. Furthermore, it will prioritize models with high quietness ratings based on customer reviews of each model.

[0857] Generate a list of optimal car models

[0858] The server generates a list of filtered vehicle information and sends it to the user's device. The list includes detailed information about each vehicle, such as its price, fuel economy, and quietness rating.

[0859] Displaying results and providing detailed information

[0860] The device parses the list of car models received from the server and displays it in an appropriate format for the user. When the user selects a specific car model from the list, a detailed information page for that car model is displayed. The detailed information page provides the user with the necessary information to consider purchasing, such as price, fuel economy, quietness rating, and insurance plans.

[0861] Assistance with purchasing procedures and insurance enrollment procedures

[0862] If the user decides to purchase the selected vehicle model, the terminal will guide them through the purchase procedure. The user enters the necessary information into a designated form and sends it to the server to confirm the purchase reservation. The terminal also simultaneously assists with the insurance application process, providing integrated support for selecting and completing the appropriate insurance plan.

[0863] In this way, the system of the present invention not only provides a series of processes for quickly and easily selecting the optimal light vehicle based on the user's desired conditions, but also efficiently supports the purchasing procedures and insurance application procedures.

[0864] The processing flow will be explained below.

[0865] Step 1:

[0866] The user starts the application, and the device displays an interface for the user to input the conditions for the desired light vehicle.

[0867] Step 2:

[0868] The user inputs their desired conditions through the interface, such as price, fuel economy, quietness, acceleration, annual mileage, number of passengers, leisure / work use, taxes, insurance, and mileage charges.

[0869] Step 3:

[0870] The terminal validates the data entered, reformats it if necessary, and converts it to an appropriate format, such as JSON.

[0871] Step 4:

[0872] The device sends the formatted data to the server as an HTTP request, which includes the user's desired conditions.

[0873] Step 5:

[0874] The server receives the request, analyzes the data, and prepares to search the database based on the desired criteria.

[0875] Step 6:

[0876] The server searches the database and extracts information on car models that match the user's desired criteria. Specifically, it filters out car models that match each criteria, such as price less than 1 million yen and fuel efficiency of 20km / L or more.

[0877] Step 7:

[0878] The server analyzes the details of the vehicle information extracted, evaluating factors such as quietness and acceleration based on customer reviews and the characteristics of each vehicle model, and narrowing down the most suitable vehicle.

[0879] Step 8:

[0880] The server generates a list of the most suitable vehicles, including detailed information such as price, fuel economy, quietness rating, and acceleration for each vehicle.

[0881] Step 9:

[0882] The server converts the generated vehicle list into JSON or XML format, and sends the converted data to the device as an HTTP response.

[0883] Step 10:

[0884] The device analyzes the data received from the server. The analysis results are displayed in an appropriate format for the user. For example, it may display "The light vehicles that best suit your requirements are as follows" and display a list of specific vehicle information (Vehicle Type A, Vehicle Type B, etc.).

[0885] Step 11:

[0886] The user selects a specific vehicle from the list. The device displays a page detailing the selected vehicle, including price, fuel economy, quietness, and customer reviews.

[0887] Step 12:

[0888] If the user decides to purchase, the device displays a purchase procedure guide and input form. The user enters the necessary information and sends it to the server to confirm the purchase reservation.

[0889] Step 13:

[0890] The server accepts the purchase reservation and notifies the dealer. The terminal displays a transaction completion notice to the user and guides them through the next steps (confirming the delivery date, applying for insurance, etc.).

[0891] Step 14:

[0892] The device assists the user in the insurance application process, allowing them to select the appropriate insurance plan and providing instructions to complete the process.

[0893] Example 1

[0894] 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."

[0895] Selecting a car is a complicated and time-consuming task for users, and selecting the optimal light vehicle that meets many requirements requires extremely complex information processing. Furthermore, there are few systems that can efficiently handle the purchasing and insurance procedures. Therefore, there is a need for a system that allows users to quickly and easily select the optimal light vehicle based on their desired conditions, and also provides integrated support for the purchasing and insurance procedures.

[0896] 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.

[0897] In this invention, the server includes means for analyzing the received desired conditions and searching for suitable vehicle information from a database, means for evaluating and filtering the analyzed information, and means for generating an optimal vehicle list and transmitting it to the terminal means. This allows the user to quickly and easily select the optimal light vehicle based on the conditions entered by the user. In addition, the generated vehicle list can be displayed on the terminal, allowing the user to efficiently provide detailed information and complete the purchase and insurance procedures.

[0898] The "interface means" refers to an operation screen or input device for the user to input desired conditions.

[0899] "Terminal means" refers to a device operated by a user, which has the function of formatting input desired conditions and sending them to a server, and also of displaying received information.

[0900] "Server means" refers to a computer system that receives and analyzes data sent from the terminal means, searches for related information from a database, generates an optimal vehicle model list, and sends it to the terminal means.

[0901] "Database" refers to an information management system that stores vehicle information, price, fuel efficiency, quietness, and other characteristic information.

[0902] The "evaluation means" refers to the function of the server means to analyze the retrieved vehicle model information, and evaluate and filter the information based on the conditions entered by the user.

[0903] The "car model list" refers to a list of the best car models that meet the user's requirements.

[0904] "Detailed information" refers to information necessary for making a purchasing decision, such as the attributes, price, fuel efficiency, quietness, and insurance plan of each vehicle model included in the vehicle list.

[0905] "Purchase procedure support means" refers to functions such as providing guidance and forms to help the user smoothly proceed with the purchase procedure for the vehicle model selected.

[0906] "Insurance application procedure support means" refers to a function that, after the user selects a vehicle model, suggests an appropriate insurance plan and supports the application procedure.

[0907] The present invention is a system that allows users to input their desired conditions and quickly and easily select the light vehicle that best suits those conditions. The system is composed of a terminal operated by the user, a server that receives and processes the input data from the user, and a terminal that displays the processed results.

[0908] First, the user launches the application on their device. An interface is displayed on the device that allows the user to input the conditions for the light vehicle they are looking for. This interface includes items such as price, fuel efficiency, quietness, acceleration, annual mileage, number of passengers, purpose of use (leisure, work, etc.), tax, insurance, and driving costs.

[0909] When the user enters the conditions for each item into the interface, the terminal converts the entered data into a format such as JSON and sends it to the server using the SSL / TLS protocol to ensure security.

[0910] The server receives the data sent from the terminal and analyzes it. Data analysis involves parsing the received data and using it to search for matching vehicle information from a database. For example, if a user enters conditions such as "price less than 1 million yen," "fuel efficiency of 20 km / L or more," and "quietness: as quiet as possible," the server will first extract vehicles priced under 1 million yen, then narrow down the search to vehicles with fuel efficiency of 20 km / L or more. It will then prioritize vehicles with a high quietness rating based on customer reviews.

[0911] The server generates a list of vehicle information after filtering and rating, converts this list into JSON format, and sends it to the terminal. The list includes detailed information about each vehicle, such as price, fuel efficiency, and quietness rating.

[0912] The device analyzes the list of car models received from the server and displays it in an appropriate format for the user. When the user selects a specific car model from the list, a detailed information page for that car model is displayed. This detailed information page provides the user with the necessary information to consider purchasing, such as price, fuel economy, quietness rating, and insurance plans.

[0913] If the user decides to purchase the selected vehicle model, the terminal will guide them through the purchase procedure. The user enters the necessary information into a designated form and submits it to the server to confirm the purchase reservation. The terminal also simultaneously assists with the insurance application process, providing integrated support for selecting the appropriate insurance plan and completing the procedure.

[0914] Specific examples

[0915] If a user enters into a terminal, "I'm looking for a minicar priced at under 1 million yen with a fuel economy of at least 20 km / L. I also want a vehicle that is very quiet," the server will search for and evaluate the best minicars based on these criteria, generate a list of them, and send it to the terminal. The user can then review the list and click on a car model they're interested in to view more information. They can then follow the instructions for the purchase and insurance procedures.

[0916] In this way, the system provides a series of processes for users to quickly and easily select the optimal light vehicle based on their desired conditions, and also efficiently supports the purchasing and insurance procedures.

[0917] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0918] Step 1:

[0919] The user launches the application using a device. Using the interface displayed on the initial screen, the user inputs the desired criteria for the minicar. For example, the user can input criteria such as "price: under 1 million yen," "fuel economy: over 20 km / L," and "quietness: as quiet as possible." The input data is temporarily stored on the device.

[0920] Input: The user enters the desired conditions into the interface.

[0921] Output: Input desired condition data

[0922] Specific behavior:

[0923] The user inputs the conditions using the touch screen or keyboard, and then presses the "Submit" button.

[0924] Step 2:

[0925] The terminal formats the conditions entered by the user into JSON format and sends it to the server using the SSL / TLS protocol to ensure security.

[0926] Input: Desired condition data entered by the user

[0927] Output: JSON formatted preference data

[0928] Specific behavior:

[0929] The terminal converts the entered conditions such as price, fuel efficiency, and quietness into a JSON format such as {"price": "under 1 million yen", "fuelEfficiency": "over 20km / L", "quietness": "quiet"} and sends it to the server.

[0930] Step 3:

[0931] The server receives the JSON data sent from the device, parses it, and converts each condition into a query to prepare for database search.

[0932] Input: JSON format desired conditions data

[0933] Output: Data query

[0934] Specific behavior:

[0935] The server parses the received JSON data and converts each condition into an SQL query or similar search query, for example, price <= 100 AND fuelEfficiency >= 20.

[0936] Step 4:

[0937] The server searches the database to extract vehicle information that matches the user's criteria, then analyzes the extracted information and evaluates the characteristics of each vehicle (price, fuel efficiency, quietness, etc.) against the user's criteria.

[0938] Input: Data Query

[0939] Output: Vehicle model information as search results

[0940] Specific behavior:

[0941] The server executes a database query to list vehicle models that meet the criteria, analyzing customer reviews and giving high ratings to quieter models.

[0942] Step 5:

[0943] The server generates a list of optimal vehicle models based on the evaluated vehicle model data, converts this list into JSON format, etc., and sends it to the terminal.

[0944] Input: Evaluated vehicle model data

[0945] Output: Optimal car model list (JSON format)

[0946] Specific behavior:

[0947] The server generates a list, converts it into a format like {"cars": [{"name": "Car A", "price": "950,000 yen", "fuelEfficiency": "22km / L", "quietness": "4.5"}, {"name": "Car B", "price": "980,000 yen", "fuelEfficiency": "21km / L", "quietness": "4.0"}]}, and sends it to the terminal.

[0948] Step 6:

[0949] The terminal analyzes the list of car models received from the server and displays it in an appropriate format for the user. The list of car models includes detailed information such as price, fuel efficiency, and quietness rating for each car model.

[0950] Input: Optimal car model list (JSON format)

[0951] Output: A list of cars displayed to the user

[0952] Specific behavior:

[0953] The device displays the list in a table, listing each car's price, fuel economy, and quietness, and users can click on each car to view more information.

[0954] Step 7:

[0955] When a user selects a specific vehicle from the list, they are taken to a detailed information page for that vehicle, which includes information such as price, fuel economy, quietness rating, and insurance options.

[0956] Input: Selected vehicle model

[0957] Output:Detailed information page

[0958] Specific behavior:

[0959] When the user selects "Car A," a detailed page for that model is displayed, displaying information such as price, fuel efficiency, and quietness.

[0960] Step 8:

[0961] If the user decides to purchase the selected car model, the terminal displays a purchase procedure form. The user enters the necessary information and submits it to the server to confirm the purchase reservation.

[0962] Input: Purchase information entered by the user

[0963] Output: Purchase completion notification

[0964] Specific behavior:

[0965] The terminal displays an input form for name, address, contact information, etc., and when the user enters the information and presses the send button, the data is sent to the server.

[0966] Step 9:

[0967] The device also assists with the insurance application process, assisting users in selecting and completing the appropriate insurance plan. Based on the insurance plan selected by the user, the device inputs and submits the necessary information.

[0968] Input: User selected insurance plan and input information

[0969] Output: Notification of completion of insurance application procedure

[0970] Specific behavior:

[0971] The terminal displays multiple insurance plans, and when the user selects one, it displays the necessary documents and input form. When the user enters the information and submits it, the data is sent to the server.

[0972] (Application example 1)

[0973] 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."

[0974] Although systems already exist that allow users to quickly and easily select the optimal minicar based on their desired conditions, it is difficult to provide an experience similar to that of the real world. Furthermore, there are still not enough systems available that allow users to select a vehicle more intuitively, such as by using voice input to input conditions or by using visual displays using augmented reality (AR) technology. This leaves users unable to get a realistic feel for the vehicle when selecting the optimal minicar based on their desired conditions.

[0975] 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.

[0976] In this invention, the server includes an interface means for inputting desired conditions by the user, a terminal means for receiving the desired conditions input by the user, a server means for searching a database for suitable vehicle model information based on the received desired conditions, a server means for analyzing the searched vehicle model information and generating an optimal vehicle model list, a means for transmitting the generated vehicle model list to the terminal means and displaying it, a display means for displaying the generated vehicle model list in an augmented reality space so that the user can check it in real time, a voice recognition means for accepting voice input in real time, and a means for displaying detailed information of a vehicle selected from the displayed vehicle model list in the augmented reality space. This allows the user to intuitively input conditions by voice, and enables the user to quickly and easily select the optimal minicar in a more realistic manner through visual displays using augmented reality technology.

[0977] A "user" is an individual or corporation that uses the system to select a light vehicle based on desired conditions.

[0978] "Desired conditions" refer to criteria such as price, fuel economy, quietness, acceleration, annual mileage, number of passengers, leisure use, taxes, insurance, and toll charges that users specify when selecting a light vehicle.

[0979] The "interface means" refers to an input device or input method used by the user to input desired conditions, and includes voice recognition, touch operation, and the like.

[0980] "Terminal means" refers to a device that allows a user to input desired conditions using an interface means and displays the results, and refers to a smartphone, tablet, PC, smart glasses, head-mounted display, etc.

[0981] The "server means" is a computing device on a network that searches for and analyzes information on suitable vehicle models from a database based on the desired conditions received from the terminal means.

[0982] The "database" is an information management system that stores various information about light vehicles.

[0983] "Vehicle information" refers to detailed data on the price, fuel economy, quietness, acceleration, annual mileage, number of passengers, leisure use, taxes, insurance, mileage, etc. of light vehicles.

[0984] The "optimal vehicle model list" is a list of recommended minicars that is generated as a result of searching and analyzing the database based on the desired conditions received.

[0985] The "display means" is a function for transmitting the optimum vehicle model list generated by the server means to the terminal means and visually displaying it.

[0986] "Augmented reality space" refers to a state in which virtual reality information is overlaid on real-world information, and is a technology that allows users to display virtual objects and information in their actual space.

[0987] "Speech recognition means" refers to technology that converts a user's voice input into text data, and interprets voice commands for use within the system.

[0988] "Detailed information" refers to additional data required to consider a purchase, such as the price, fuel economy, quietness rating, and insurance plan of the selected minicar.

[0989] The present invention is a system for quickly and easily selecting the optimum light vehicle based on the user's desired conditions, and this system is implemented using a user terminal, a server, and augmented reality technology.

[0990] Basic system configuration

[0991] Users access the system using smart glasses or a head-mounted display (HMD). The user terminal is equipped with voice recognition and augmented reality (AR) display functions. Users can input their desired conditions using voice commands or gestures.

[0992] Process User Input

[0993] The user wears the smart device and issues a voice command to activate the system. For example, the system will begin operation once it recognizes a voice input such as "Activate the system and search for a car." The user then enters the conditions for each item (price, fuel economy, quietness, etc.) by voice. At this time, voice recognition technology such as the Google Speech-to-Text API is used to convert the voice data into text data and send it to the server.

[0994] Server processing process

[0995] The server receives and analyzes the text data sent from the device. The server is connected to a database, and searches the database for vehicle information that matches the received conditions. For example, if conditions such as a price of less than 1 million yen and a fuel efficiency of 20 km / L or more are specified, the server will first search for vehicles priced under 1 million yen, and then narrow down the results to those with a fuel efficiency of 20 km / L or more. Once vehicle information that matches the conditions is obtained, a list of optimal vehicles is generated.

[0996] Displaying results and providing detailed information

[0997] The generated list of optimal car models is sent to the terminal and displayed in an augmented reality space on the user's smart device. The user can visually check the listed car models in the virtual space through smart glasses or an HMD. To see more information, the user inputs further voice commands about the selected car model. For example, if the user inputs "Tell me more about this car," the server will provide more information. The augmented reality technology used is ARCore and ARKit.

[0998] Assistance with purchasing procedures and insurance enrollment procedures

[0999] Once a user selects a specific car model and decides to purchase it, they can complete the purchase and insurance procedures directly in the virtual store. The server manages the data required for these procedures and assists the user in completing the procedures using voice and gesture controls.

[1000] Examples of concrete examples and prompts

[1001] For example, if a user says, "I'm looking for a car with a fuel efficiency of 20km / L or more and that is quiet," a selection of light vehicles that meet the criteria will be displayed in the augmented reality space. Users can visually check the cars and obtain more detailed information about their favorite models by voice.

[1002] Example prompt for a generative AI model:

[1003] Design a smart device application that allows users to input their desired criteria for a minicar using voice commands and displays models that match those criteria in augmented reality. The conditions for use will be obtained using the Google Speech-to-Text API, and vehicle information will be displayed using ARCore. The specific conditions that users will input will be three items: price, fuel economy, and quietness. Build a system that sends these in JSON format to the server, obtains the filtering results, and then displays them in AR.

[1004] In this way, the system of the present invention combines voice recognition and augmented reality technology to efficiently support the process of users selecting the optimal minicar based on their desired conditions.

[1005] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1006] Step 1:

[1007] The user wears smart glasses or a head-mounted display and issues a voice command to start the system. For example, the user might say, "Start the system and search for a car." The input data is acquired as voice data, and the voice recognition library converts it into text data (data processing), which is then converted into a command called "Start the system." This converted text data is processed on the device, and the system is started.

[1008] input:

[1009] User's voice command: "Wake up the system and find my car."

[1010] output:

[1011] Text data "System startup instructions"

[1012] System startup triggers

[1013] Step 2:

[1014] After the system is launched, the user enters the desired vehicle conditions by voice. For example, "I'm looking for a car with a fuel efficiency of 20km / L or more and that is quiet." Speech recognition technology (Google Speech-to-Text API) converts this into text data and formats it as the conditions. This formatted data is then sent from the device to the server.

[1015] input:

[1016] User's voice command: "I'm looking for a car with a fuel efficiency of 20km / L or more and a very quiet car."

[1017] output:

[1018] Text data: "Fuel efficiency of over 20km / L, very quiet"

[1019] JSON format desired conditions data

[1020] Step 3:

[1021] The server receives the condition data sent from the device. Based on the received data, it searches the database for suitable vehicle information. In this process, it first filters by price, then by fuel economy, and then by noise level, and creates a list of the most suitable vehicles (data calculation). The resulting list is then formatted in JSON format and sent to the device.

[1022] input:

[1023] JSON format desired conditions data

[1024] output:

[1025] Optimal car model list (JSON format)

[1026] Step 4:

[1027] The device receives the list of optimal car models from the server and displays it in the augmented reality space. The user can visually check the list of car models through smart glasses or an HMD. Augmented reality technology (ARCore / ARKit) manages the list display and displays it superimposed on the real world.

[1028] input:

[1029] Optimal car model list (JSON format)

[1030] output:

[1031] A list of car models is displayed visually in the augmented reality space

[1032] Step 5:

[1033] The user selects a car model they are interested in from a list of models displayed in the augmented reality space and inputs a voice command to obtain detailed information about it, such as "Tell me more about this car." Speech recognition technology again converts this into text data, and a request is sent to the server.

[1034] input:

[1035] User's voice command: "Tell me more about this car"

[1036] output:

[1037] Text data "More information request"

[1038] Step 6:

[1039] Based on the request received from the device, the server retrieves detailed information about the selected vehicle model from the database. The retrieved detailed information is formatted in JSON format and sent to the device. During this process, information is retrieved from the database and data is processed.

[1040] input:

[1041] Text data "More information request"

[1042] output:

[1043] Detailed information (JSON format)

[1044] Step 7:

[1045] The device then displays the received details in the augmented reality space. Once the user has confirmed the details, if they wish to purchase or apply for insurance, they can do so using voice commands. These voice commands are then converted into text data using voice recognition technology and sent to the server.

[1046] input:

[1047] Detailed information (JSON format)

[1048] output:

[1049] Visualize detailed information in an augmented reality space

[1050] Through this process, users can use voice recognition and augmented reality technology to visually select the most suitable minicar based on their desired conditions, check detailed information, and smoothly complete the purchase and insurance procedures.

[1051] 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.

[1052] This invention is a system that allows users to input their desired conditions and quickly and easily select the light vehicle that best suits those conditions. This system is composed of a terminal operated by the user, a server that receives and processes the input data from the user, and a terminal that displays the processed results. In addition, by combining it with an emotion engine that recognizes the user's emotions, it becomes possible to propose more personalized vehicle models.

[1053] Basic system configuration

[1054] First, the user launches the application on their device. An interface is displayed on the device that allows the user to input the conditions for the light vehicle they are looking for. This interface includes items such as price, fuel economy, quietness, acceleration, annual mileage, number of passengers, leisure / work use, tax, insurance, and mileage charges.

[1055] Process User Input

[1056] The user inputs their desired conditions through the interface. The device formats the input data (e.g., JSON format) and sends it to the server. The emotion engine then analyzes the user's emotions from their facial expressions, voice, or text data, and sends the analysis results to the server.

[1057] Server processing process

[1058] The server receives the data sent from the device and analyzes it, which includes the following steps:

[1059] 1. Search the database for vehicle information that matches the criteria.

[1060] 2. Taking into account the user's emotional data sent from the emotion engine, the detailed characteristics of each vehicle model are evaluated and the vehicle model that best suits the user is selected.

[1061] For example, if a user inputs conditions such as "price under 1 million yen," "fuel economy of 20 km / L or more," and "quietness: as quiet as possible," the server will first extract models priced under 1 million yen, then narrow down the results to models with fuel economy of 20 km / L or more. Next, it will prioritize models with high ratings for quietness based on the user's word-of-mouth data for each model. Furthermore, the final model selection will be made based on the user's emotions (for example, whether they are stressed or looking for fun) analyzed by the emotion engine.

[1062] Generate a list of optimal car models

[1063] The server generates a list of the filtered vehicle information and sends it to the user's terminal. This list includes detailed information about each vehicle, such as its price, fuel economy, and comfort rating.

[1064] Displaying results and providing detailed information

[1065] The device analyzes the list of vehicle models received from the server and displays it in an appropriate format for the user. When the user selects a specific vehicle model from the list, a detailed information page for that vehicle model is displayed. The detailed information page provides the information the user needs to consider purchasing, such as price, fuel economy, comfort rating, and insurance plans. Furthermore, the display and presentation method can be dynamically changed based on the analysis results of the emotion engine.

[1066] Assistance with purchasing procedures and insurance enrollment procedures

[1067] If the user decides to purchase the selected vehicle model, the terminal will guide them through the purchase procedure. The user enters the necessary information into a designated form and sends it to the server to confirm the purchase reservation. The terminal also simultaneously assists with the insurance application process, providing integrated support for selecting and completing the appropriate insurance plan.

[1068] In this way, the system of the present invention not only provides a series of processes for quickly and easily selecting the optimal light vehicle based on the user's desired conditions, but also utilizes an emotion engine to make more personalized suggestions and efficiently support the purchasing and insurance procedures.

[1069] The processing flow will be explained below.

[1070] Step 1:

[1071] The user starts the application, and the device displays an interface for the user to input the conditions for the desired light vehicle.

[1072] Step 2:

[1073] The user inputs their desired conditions through the interface, such as price, fuel economy, quietness, acceleration, annual mileage, number of passengers, leisure / work use, taxes, insurance, and mileage charges.

[1074] Step 3:

[1075] The device formats the input data (e.g., JSON format), and at the same time, the device's built-in emotion engine analyzes the user's emotions from facial expressions, voice, or text data.

[1076] Step 4:

[1077] The device sends the formatted data and the analysis results of the emotion engine to the server using an HTTP request.

[1078] Step 5:

[1079] The server receives the request, analyzes the data, and prepares to search the database based on the desired criteria.

[1080] Step 6:

[1081] The server searches the database and extracts information on car models that match the user's desired criteria. Specifically, it filters out car models that match each criteria, such as price less than 1 million yen and fuel efficiency of 20km / L or more.

[1082] Step 7:

[1083] The server analyzes the details of the vehicle information extracted. Based on customer reviews and the characteristics of each vehicle, it evaluates quietness and acceleration, etc., and narrows down the most suitable vehicle. It also takes into account emotional data from the emotion engine to select the vehicle that best suits the user's emotions.

[1084] Step 8:

[1085] The server generates a list of the most suitable vehicles, including detailed information such as price, fuel economy, quietness rating, and acceleration for each vehicle.

[1086] Step 9:

[1087] The server converts the generated vehicle list into JSON or XML format, and sends the converted data to the device as an HTTP response.

[1088] Step 10:

[1089] The device analyzes the data received from the server. The analysis results are displayed in an appropriate format for the user. For example, it may display "The light vehicles that best suit your requirements are as follows" and display a list of specific vehicle information (Vehicle Type A, Vehicle Type B, etc.).

[1090] Step 11:

[1091] The user selects a specific car model from the list. The device displays a detailed information page for the selected car model, including price, fuel economy, quietness, and customer reviews. The display and presentation method also dynamically changes based on the analysis results of the emotion engine.

[1092] Step 12:

[1093] If the user decides to purchase, the device displays a purchase procedure guide and input form. The user enters the necessary information and sends it to the server to confirm the purchase reservation.

[1094] Step 13:

[1095] The server accepts the purchase reservation and notifies the dealer. The terminal displays a transaction completion notice to the user and guides them through the next steps (confirming the delivery date, applying for insurance, etc.).

[1096] Step 14:

[1097] The device assists the user in the insurance application process, allowing them to select the appropriate insurance plan and providing instructions to complete the process.

[1098] Example 2

[1099] 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."

[1100] Conventional vehicle selection systems provide vehicle information by considering only the user's desired conditions, which results in a problem of being unable to make suggestions that reflect the user's emotions or individual preferences. This makes it difficult for users to make an optimal selection based on their emotions and conditions, and they may be dissatisfied with the selection results. The present invention aims to solve this problem and provide a system that allows users to quickly and easily select a more optimal vehicle model by making personalized suggestions that take the user's emotions into consideration.

[1101] 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 an interface means for inputting desired conditions by the user, a terminal means for receiving the desired conditions input by the user, a server means for searching a database for suitable vehicle model information based on the received desired conditions and emotion data, a server means for analyzing the emotion data and combining it with the received desired conditions to generate an optimal vehicle model list, and a means for transmitting the generated vehicle model list to the terminal means and displaying it. This makes it possible to propose personalized vehicle models that take the user's emotions into consideration, thereby increasing user satisfaction.

[1102] "User" means an individual or legal entity that uses the system and enters criteria for the purpose of selecting and purchasing a vehicle.

[1103] "Interface means" refers to a screen or form for the user to input desired conditions, or an application function, and is the means by which the user interacts with the system.

[1104] "Terminal means" refers to a device used by a user, such as a computer, smartphone, or tablet, and is a means for sending input data to a server and receiving information from the server.

[1105] "Server means" refers to a computer system for managing a database, analyzing condition data and emotion data received from users, and searching for and listing information on suitable vehicle models.

[1106] "Emotion data" is data that indicates the user's emotions and psychological state analyzed from facial expressions, voice, text, etc.

[1107] "Database" refers to an information management system that stores information such as vehicle model information, price, fuel efficiency, and quietness evaluation.

[1108] "Vehicle information" is detailed data about a specific vehicle model, including information such as price, fuel efficiency, quietness, acceleration, annual mileage, number of passengers, use, taxes, insurance, and mileage charges.

[1109] "Analysis" refers to the process of processing and evaluating received data based on certain rules and algorithms to derive meaningful information.

[1110] "Generate" refers to the act of creating new data or lists based on the analysis results, which in this system means creating an optimal vehicle model list.

[1111] "Display means" refers to the function of the device screen or application for visually presenting the optimal vehicle model list and detailed information sent from the server to the user.

[1112] This invention is a system for selecting the optimal minicar based on the conditions entered by a user desiring a car. The system includes a terminal operated by the user, a server that receives and processes the data entered by the user, and a terminal that displays the processed results. In addition, by combining it with an emotion engine that analyzes the user's emotions, it becomes possible to propose more personalized car models.

[1113] The device used by the user

[1114] The user launches the application using a device such as a smartphone, tablet, or PC. This application displays an interface that allows the user to input the conditions for the light vehicle they desire. The interface includes items such as price, fuel economy, quietness, acceleration, annual mileage, number of passengers, purpose (leisure / work), tax, insurance, and mileage charges. The user can input specific conditions for these items.

[1115] Data analysis by the server

[1116] The conditions entered by the user through the interface are sent from the device to the server. At this time, the data is formatted in JSON, and the emotional data analyzed by the emotion engine is also sent to the server. The server receives this data and first searches its database for vehicle information that matches the conditions.

[1117] Specifically, the server does the following:

[1118] 1. Based on the price item, extract car models that do not exceed the upper price limit.

[1119] 2. Use fuel economy as a criterion to narrow down your search to cars that meet or exceed your desired fuel economy.

[1120] 3. Evaluate customer reviews and other data regarding quietness, and prioritize models that meet those criteria.

[1121] The server also considers the user's emotional data sent from the emotion engine and applies evaluation criteria according to the user's emotions, such as selecting a car model that will help them relax if they are feeling stressed.

[1122] Generate and send a list of optimal vehicles

[1123] The server generates a list of optimal vehicle models based on the analysis results. This list includes detailed information about each vehicle, such as price, fuel efficiency, and quietness. The generated list is then sent to the user's device.

[1124] Displaying results and providing detailed information on the device

[1125] The device displays the received list of car models to the user. When the user selects a specific car model from the list, a detailed information page for that car model is displayed. This page provides the information the user needs to consider purchasing, such as price, fuel efficiency, quietness, and insurance plans. It is also possible to dynamically change the content and presentation method displayed based on the analysis results of the emotion engine.

[1126] Assistance with purchasing procedures and insurance enrollment procedures

[1127] When the user decides to purchase the selected vehicle model, the terminal guides them through the purchase procedure. The user enters the necessary information into a designated form and sends it to the server to confirm the purchase reservation. The terminal also assists with the insurance application process, providing comprehensive support for selecting and completing the appropriate insurance plan.

[1128] For example, if a user wants a car that is quiet and comfortable, priced under 1 million yen, and has a fuel economy of 20km / L or better, the prompt would look like this:

[1129] Example prompt sentence:

[1130] User: I'm looking for a light car that costs less than 1 million yen and has a fuel economy of 20km / L or more. I'd also like it to be quiet and comfortable.

[1131] system:

[1132] 1. Have the user enter their desired conditions.

[1133] 2. Convert the input data into JSON format and send it to the server.

[1134] 3. Analyze the user's emotions using the emotion engine and send the analyzed data to the server.

[1135] 4. The server searches the database for the relevant car model and selects the appropriate car model taking into account the emotional data.

[1136] 5. Generate the final vehicle list and send it to the user's device.

[1137] 6. The device displays the received list to the user and also provides a detailed information page.

[1138] 7. Assist users in the purchasing and insurance procedures for the vehicle they have selected.

[1139] In this way, the present invention provides a system for quickly and easily selecting the most suitable light vehicle based on the user's desired conditions and feelings.

[1140] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1141] Step 1: Launching the Application

[1142] The user launches the application using the terminal. Input: The user operates the terminal. Output: An interface for entering the conditions for a light vehicle is displayed on the terminal. The interface displays the following items: price, fuel efficiency, quietness, acceleration, annual mileage, number of passengers, purpose, tax, insurance, and mileage charges.

[1143] Step 2: Enter the conditions

[1144] The user inputs the desired criteria for a minicar through the interface. Input: The user inputs each criteria into the form. Output: The criteria data is saved on the terminal. As a concrete example, the user can select a car that is priced under 1 million yen, has a fuel efficiency of 20km / L or more, and is quiet.

[1145] Step 3: Convert data format and send

[1146] The device formats the input data into JSON format. Input: Condition data entered by the user. Output: Data converted into JSON format. This data is then ready to be sent to the server. At the same time, the device starts an emotion engine, which collects emotion data from the user's facial expressions and voice, converts it into JSON format, and sends it to the server.

[1147] Step 4: Receiving and analyzing data

[1148] The server receives JSON data sent from the device. Input: Condition data and emotion data sent from the device. Output: Internal data structure for analyzing the received data. The server first begins searching the database for vehicle model information that matches the conditions.

[1149] Step 5: Search based on criteria

[1150] The server searches the database based on the received condition data. Input: Parsed condition data in JSON format. Output: List of car models that match the conditions. As a specific example, the server first extracts car models priced under 1 million yen, and then narrows them down to cars with a fuel efficiency of 20 km / L or more.

[1151] Step 6: Consider and evaluate the sentiment data

[1152] The server analyzes the user's emotional data obtained from the emotion engine and uses it to narrow down the search criteria. Input: Analyzed emotional data. Output: A list of car models that best fit the user's emotional state. For example, if the user is looking for a relaxing experience, quieter cars will be prioritized on the list.

[1153] Step 7: Generate a list of optimal vehicles

[1154] The server generates a list of optimal car models based on the analysis of the condition data and emotion data. Input: A narrowed-down list of car models. Output: A list of optimal car models. This list includes detailed information such as price, fuel efficiency, and quietness.

[1155] Step 8: Submit your list

[1156] The server sends the generated list of optimal car models to the terminal. Input: Generated car model list. Output: Data sent to the user's terminal. The user can check this list on the terminal.

[1157] Step 9: View the list and provide more information

[1158] The terminal displays the received car model list to the user. Input: Car model list data sent from the server. Output: Car model list displayed on the screen. When the user selects a specific car model, a detailed information page for that car model is displayed.

[1159] Step 10: Purchase and Insurance Process Guidance

[1160] The terminal guides the user through the purchase procedure for the vehicle model selected. Input: Data on the specific vehicle model selected by the user. Output: A purchase procedure form and instructions are displayed. The user enters the purchase information and sends it to the server to confirm the purchase reservation. The terminal also assists with insurance enrollment procedures, supporting the selection and procedure of an appropriate insurance plan.

[1161] The above is the specific flow of the system's program processing.

[1162] (Application example 2)

[1163] 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."

[1164] Conventional car model selection systems select cars based solely on the user's desired conditions, which means they are unable to provide personalized recommendations that take into account the user's emotions and psychological state. Furthermore, conventional systems do not provide sufficient support for the purchasing and insurance procedures, placing a heavy burden on users. It is desirable to address these issues.

[1165] 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.

[1166] In this invention, the server includes emotion analysis means for analyzing the user's emotions, means for searching a database for suitable vehicle model information based on the received desired conditions, and means for generating an optimal vehicle model list based on the searched vehicle model information and the emotion analysis results. This makes it possible to propose personalized vehicle models that take the user's emotions into consideration, and further reduces the burden on the user by supporting the purchase procedure and insurance application procedure.

[1167] The term "interface means" refers to an operation screen or input device for the user to input desired conditions.

[1168] "Terminal means" refers to a device that receives desired conditions input by a user, such as a smartphone or a personal computer.

[1169] The term "server means" refers to a central processing unit that searches for and processes information on suitable vehicle models from a database based on the received desired conditions.

[1170] "Emotion analysis means" refers to software or a system that recognizes emotions by analyzing the user's facial expressions and voice data.

[1171] "Scheme" in this context means a process or method for transmitting and displaying the generated vehicle list to a terminal means.

[1172] "Database" means an integrated system in which vehicle information and user requirements data are stored.

[1173] The "optimal car model list" refers to a list of the most suitable car models for purchase, selected based on the user's desired conditions and the results of sentiment analysis.

[1174] "Means to support purchasing procedures and insurance application procedures" means a system that guides users through the procedures for purchasing a vehicle and introduces and selects an appropriate insurance plan.

[1175] This invention is a system that allows users to input their desired conditions and quickly and easily select the light vehicle that best suits those conditions. This system is composed of a terminal operated by the user, a server that receives and processes the input data from the user, and a terminal that displays the processed results. In addition, by combining it with an emotion analysis means that recognizes the user's emotions, it becomes possible to propose more personalized vehicle models.

[1176] User condition input and sentiment analysis

[1177] The user launches the application on the device, and an interface is displayed on the device that allows the user to input the conditions for the light vehicle they desire. This interface includes items such as price, fuel efficiency, quietness, acceleration, annual mileage, number of passengers, leisure use, tax, insurance, and mileage charges.

[1178] When the user inputs their desired conditions through the interface, the device formats the input data (e.g., JSON format) and sends it to the server. In addition, the emotion analysis means analyzes the user's emotions from their facial expressions and voice and sends the results to the server.

[1179] Server processing

[1180] The server receives the input data and sentiment analysis results sent by the user and analyzes them. The analysis includes the following processes:

[1181] 1. Data search: The server searches the database for vehicle information that matches the user's desired conditions.

[1182] 2. Use of sentiment analysis results: Taking into account the user sentiment data sent from the sentiment analysis means, the detailed characteristics of each vehicle model are evaluated.

[1183] 3. Selection of the optimal vehicle model: Based on the user's conditions and the results of sentiment analysis, the most suitable vehicle model for the user is selected.

[1184] For example, if a user inputs conditions such as "price less than 1 million yen," "fuel efficiency of 20km / L or more," and "quietness: as quiet as possible," and the emotion of "expectation" is detected as a result of the emotion analysis, the system will narrow down the search to models priced under 1 million yen, select models with a fuel efficiency of 20km / L or more, and then prioritize models with a high rating for quietness. The final selection will be made taking into account the emotion analysis results.

[1185] Generate and display a list of optimal vehicle models

[1186] The server generates a list of filtered vehicle information and sends this list to the user's device. The user's device receives the optimal vehicle list and displays it in an appropriate format. When the user selects a specific vehicle from the list, a detailed information page for that vehicle is displayed. The detailed information page contains information the user needs to consider purchasing, such as price, fuel efficiency, quietness rating, and insurance plans.

[1187] Assistance with purchasing procedures and insurance enrollment procedures

[1188] If the user decides to purchase the selected vehicle model, the terminal will guide them through the purchase procedure. The user enters the necessary information into a designated form and sends it to the server to confirm the purchase reservation. The terminal also simultaneously assists with the insurance application procedure, running a program that selects and proposes an appropriate insurance plan to the user.

[1189] Hardware and software used

[1190] Hardware: Smartphone (camera, microphone)

[1191] Software: Sentiment analysis engine, database management system

[1192] As a concrete example, if the user inputs "price less than 1 million yen," "fuel economy over 20km / L," and "quietness: as quiet as possible," and emotion analysis detects the emotion of "expectation," the following prompt sentence will be used:

[1193] "When a user inputs 'price under 1 million yen', 'fuel economy over 20km / L', and 'quietness: as quiet as possible', and emotion analysis detects the emotion of 'expectation,' design a process to select the most suitable minicar and display detailed information."

[1194] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1195] Step 1:

[1196] The user starts the application on the terminal and inputs the desired conditions for the light vehicle.

[1197] Input: price, fuel economy, quietness, acceleration, annual mileage, number of passengers, leisure use, tax, insurance, mileage

[1198] Output: Formatted input data (e.g. JSON format)

[1199] Specific operation: When the user enters the desired conditions into the interface and presses the "Submit" button, the input data is formatted in JSON format.

[1200] Step 2:

[1201] Emotions are analyzed from the user's facial expressions and voice recorded on the device.

[1202] Input: User's facial expression data, voice data

[1203] Output: Emotional analysis results (e.g. expectations, anxiety, excitement)

[1204] Specific operation: The device's camera and microphone capture the user's facial expressions and voice, and send them to the emotion analysis engine for analysis.

[1205] Step 3:

[1206] The device sends the input data and emotion analysis results to the server.

[1207] Input: Formatted input data, sentiment analysis results

[1208] Output: Data sent to the server

[1209] Specific operation: The device sends the input data in JSON format and the emotion analysis results to the server's API endpoint as a POST request.

[1210] Step 4:

[1211] The server analyzes the input data received from the user and searches the database for vehicle model information that matches the conditions.

[1212] Input: User's desired conditions data, emotion analysis results

[1213] Output: Searched vehicle information

[1214] Specific operation: The server executes a database query to retrieve vehicle information that meets the specified criteria.

[1215] Step 5:

[1216] The server takes into account the results of the sentiment analysis, evaluates the detailed characteristics of each vehicle model, and generates a list of optimal vehicle models.

[1217] Input: Searched car model information, emotion analysis results

[1218] Output: Best car model list

[1219] Specific operation: Based on the results of sentiment analysis, user reviews and evaluation data for each vehicle model are taken into consideration, and an evaluation score is calculated to create a list of optimal vehicle models.

[1220] Step 6:

[1221] The server transmits the generated vehicle model list to the terminal.

[1222] Input: Best car model list

[1223] Output: List of car models sent to the terminal

[1224] Specific operation: The server sends the list of car models to the terminal in JSON format.

[1225] Step 7:

[1226] The terminal displays the received list of vehicle models to the user and provides a function for accessing a page of detailed information.

[1227] Input: Best car model list

[1228] Output: The car list and detailed information page displayed to the user

[1229] Specific operation: The device parses the received list of car models and displays it to the user in an appropriate format. When the user selects a specific car model, a detailed information page for that car model is displayed.

[1230] Step 8:

[1231] The user completes the purchase and insurance procedures for the vehicle model selected.

[1232] Input: User-selected vehicle information, information required for purchase and insurance application

[1233] Output: Confirmation of purchase reservation, selection and procedure of insurance plan

[1234] Specific operation: The user enters the necessary information into the form and presses the submit button to send it to the server. The server confirms the purchase reservation and proposes and selects an appropriate insurance plan.

[1235] 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.

[1236] 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.

[1237] 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.

[1238] [Fourth embodiment]

[1239] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1240] 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.

[1241] 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).

[1242] 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.

[1243] 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.

[1244] 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).

[1245] 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.

[1246] 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.

[1247] 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.

[1248] 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.

[1249] 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.

[1250] 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.

[1251] 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."

[1252] This system allows users to input their desired conditions and quickly and easily select the light vehicle that best suits those conditions. This system is composed of a terminal operated by the user, a server that receives and processes the input data from the user, and a terminal that displays the processed results.

[1253] Basic system configuration

[1254] First, the user launches the application on their device. An interface is displayed on the device that allows the user to input the conditions for the light vehicle they are looking for. This interface includes items such as price, fuel efficiency, quietness, acceleration, annual mileage, number of passengers, leisure / work use, tax, insurance, and mileage charges.

[1255] Process User Input

[1256] The user enters the conditions for each item into the interface, and the terminal then formats the entered data (e.g., JSON format) and sends it to the server.

[1257] Server processing process

[1258] The server receives the data sent from the device and analyzes it, which includes the following steps:

[1259] 1. Search the database for vehicle information that matches the criteria.

[1260] 2. Evaluate the detailed characteristics of each vehicle model against the user's criteria to further refine the search results.

[1261] For example, if a user inputs conditions such as "price less than 1 million yen," "fuel efficiency of 20km / L or more," and "quietness: as quiet as possible," the server will first extract models priced under 1 million yen, then narrow down the results to models with fuel efficiency of 20km / L or more. Furthermore, it will prioritize models with high quietness ratings based on customer reviews of each model.

[1262] Generate a list of optimal car models

[1263] The server generates a list of filtered vehicle information and sends it to the user's device. The list includes detailed information about each vehicle, such as its price, fuel economy, and quietness rating.

[1264] Displaying results and providing detailed information

[1265] The device parses the list of car models received from the server and displays it in an appropriate format for the user. When the user selects a specific car model from the list, a detailed information page for that car model is displayed. The detailed information page provides the user with the necessary information to consider purchasing, such as price, fuel economy, quietness rating, and insurance plans.

[1266] Assistance with purchasing procedures and insurance enrollment procedures

[1267] If the user decides to purchase the selected vehicle model, the terminal will guide them through the purchase procedure. The user enters the necessary information into a designated form and sends it to the server to confirm the purchase reservation. The terminal also simultaneously assists with the insurance application process, providing integrated support for selecting and completing the appropriate insurance plan.

[1268] In this way, the system of the present invention not only provides a series of processes for quickly and easily selecting the optimal light vehicle based on the user's desired conditions, but also efficiently supports the purchasing procedures and insurance application procedures.

[1269] The processing flow will be explained below.

[1270] Step 1:

[1271] The user starts the application, and the device displays an interface for the user to input the conditions for the desired light vehicle.

[1272] Step 2:

[1273] The user inputs their desired conditions through the interface, such as price, fuel economy, quietness, acceleration, annual mileage, number of passengers, leisure / work use, taxes, insurance, and mileage charges.

[1274] Step 3:

[1275] The terminal validates the data entered, reformats it if necessary, and converts it to an appropriate format, such as JSON.

[1276] Step 4:

[1277] The device sends the formatted data to the server as an HTTP request, which includes the user's desired conditions.

[1278] Step 5:

[1279] The server receives the request, analyzes the data, and prepares to search the database based on the desired criteria.

[1280] Step 6:

[1281] The server searches the database and extracts information on car models that match the user's desired criteria. Specifically, it filters out car models that match each criteria, such as price less than 1 million yen and fuel efficiency of 20km / L or more.

[1282] Step 7:

[1283] The server analyzes the details of the vehicle information extracted, evaluating factors such as quietness and acceleration based on customer reviews and the characteristics of each vehicle model, and narrowing down the most suitable vehicle.

[1284] Step 8:

[1285] The server generates a list of the most suitable vehicles, including detailed information such as price, fuel economy, quietness rating, and acceleration for each vehicle.

[1286] Step 9:

[1287] The server converts the generated vehicle list into JSON or XML format, and sends the converted data to the device as an HTTP response.

[1288] Step 10:

[1289] The device analyzes the data received from the server. The analysis results are displayed in an appropriate format for the user. For example, it may display "The light vehicles that best suit your requirements are as follows" and display a list of specific vehicle information (Vehicle Type A, Vehicle Type B, etc.).

[1290] Step 11:

[1291] The user selects a specific vehicle from the list. The device displays a page detailing the selected vehicle, including price, fuel economy, quietness, and customer reviews.

[1292] Step 12:

[1293] If the user decides to purchase, the device displays a purchase procedure guide and input form. The user enters the necessary information and sends it to the server to confirm the purchase reservation.

[1294] Step 13:

[1295] The server accepts the purchase reservation and notifies the dealer. The terminal displays a transaction completion notice to the user and guides them through the next steps (confirming the delivery date, applying for insurance, etc.).

[1296] Step 14:

[1297] The device assists the user in the insurance application process, allowing them to select the appropriate insurance plan and providing instructions to complete the process.

[1298] Example 1

[1299] 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."

[1300] Selecting a car is a complicated and time-consuming task for users, and selecting the optimal light vehicle that meets many requirements requires extremely complex information processing. Furthermore, there are few systems that can efficiently handle the purchasing and insurance procedures. Therefore, there is a need for a system that allows users to quickly and easily select the optimal light vehicle based on their desired conditions, and also provides integrated support for the purchasing and insurance procedures.

[1301] 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.

[1302] In this invention, the server includes means for analyzing the received desired conditions and searching for suitable vehicle information from a database, means for evaluating and filtering the analyzed information, and means for generating an optimal vehicle list and transmitting it to the terminal means. This allows the user to quickly and easily select the optimal light vehicle based on the conditions entered by the user. In addition, the generated vehicle list can be displayed on the terminal, allowing the user to efficiently provide detailed information and complete the purchase and insurance procedures.

[1303] The "interface means" refers to an operation screen or input device for the user to input desired conditions.

[1304] "Terminal means" refers to a device operated by a user, which has the function of formatting input desired conditions and sending them to a server, and also of displaying received information.

[1305] "Server means" refers to a computer system that receives and analyzes data sent from the terminal means, searches for related information from a database, generates an optimal vehicle model list, and sends it to the terminal means.

[1306] "Database" refers to an information management system that stores vehicle information, price, fuel efficiency, quietness, and other characteristic information.

[1307] The "evaluation means" refers to the function of the server means to analyze the retrieved vehicle model information, and evaluate and filter the information based on the conditions entered by the user.

[1308] The "car model list" refers to a list of the best car models that meet the user's requirements.

[1309] "Detailed information" refers to information necessary for making a purchasing decision, such as the attributes, price, fuel efficiency, quietness, and insurance plan of each vehicle model included in the vehicle list.

[1310] "Purchase procedure support means" refers to functions such as providing guidance and forms to help the user smoothly proceed with the purchase procedure for the vehicle model selected.

[1311] "Insurance application procedure support means" refers to a function that, after the user selects a vehicle model, suggests an appropriate insurance plan and supports the application procedure.

[1312] The present invention is a system that allows users to input their desired conditions and quickly and easily select the light vehicle that best suits those conditions. The system is composed of a terminal operated by the user, a server that receives and processes the input data from the user, and a terminal that displays the processed results.

[1313] First, the user launches the application on their device. An interface is displayed on the device that allows the user to input the conditions for the light vehicle they are looking for. This interface includes items such as price, fuel efficiency, quietness, acceleration, annual mileage, number of passengers, purpose of use (leisure, work, etc.), tax, insurance, and driving costs.

[1314] When the user enters the conditions for each item into the interface, the terminal converts the entered data into a format such as JSON and sends it to the server using the SSL / TLS protocol to ensure security.

[1315] The server receives the data sent from the terminal and analyzes it. Data analysis involves parsing the received data and using it to search for matching vehicle information from a database. For example, if a user enters conditions such as "price less than 1 million yen," "fuel efficiency of 20 km / L or more," and "quietness: as quiet as possible," the server will first extract vehicles priced under 1 million yen, then narrow down the search to vehicles with fuel efficiency of 20 km / L or more. It will then prioritize vehicles with a high quietness rating based on customer reviews.

[1316] The server generates a list of vehicle information after filtering and rating, converts this list into JSON format, and sends it to the terminal. The list includes detailed information about each vehicle, such as price, fuel efficiency, and quietness rating.

[1317] The device analyzes the list of car models received from the server and displays it in an appropriate format for the user. When the user selects a specific car model from the list, a detailed information page for that car model is displayed. This detailed information page provides the user with the necessary information to consider purchasing, such as price, fuel economy, quietness rating, and insurance plans.

[1318] If the user decides to purchase the selected vehicle model, the terminal will guide them through the purchase procedure. The user enters the necessary information into a designated form and submits it to the server to confirm the purchase reservation. The terminal also simultaneously assists with the insurance application process, providing integrated support for selecting the appropriate insurance plan and completing the procedure.

[1319] Specific examples

[1320] If a user enters into a terminal, "I'm looking for a minicar priced at under 1 million yen with a fuel economy of at least 20 km / L. I also want a vehicle that is very quiet," the server will search for and evaluate the best minicars based on these criteria, generate a list of them, and send it to the terminal. The user can then review the list and click on a car model they're interested in to view more information. They can then follow the instructions for the purchase and insurance procedures.

[1321] In this way, the system provides a series of processes for users to quickly and easily select the optimal light vehicle based on their desired conditions, and also efficiently supports the purchasing and insurance procedures.

[1322] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1323] Step 1:

[1324] The user launches the application using a device. Using the interface displayed on the initial screen, the user inputs the desired criteria for the minicar. For example, the user can input criteria such as "price: under 1 million yen," "fuel economy: over 20 km / L," and "quietness: as quiet as possible." The input data is temporarily stored on the device.

[1325] Input: The user enters the desired conditions into the interface.

[1326] Output: Input desired condition data

[1327] Specific behavior:

[1328] The user inputs the conditions using the touch screen or keyboard, and then presses the "Submit" button.

[1329] Step 2:

[1330] The terminal formats the conditions entered by the user into JSON format and sends it to the server using the SSL / TLS protocol to ensure security.

[1331] Input: Desired condition data entered by the user

[1332] Output: JSON formatted preference data

[1333] Specific behavior:

[1334] The terminal converts the entered conditions such as price, fuel efficiency, and quietness into a JSON format such as {"price": "under 1 million yen", "fuelEfficiency": "over 20km / L", "quietness": "quiet"} and sends it to the server.

[1335] Step 3:

[1336] The server receives the JSON data sent from the device, parses it, and converts each condition into a query to prepare for database search.

[1337] Input: JSON format desired conditions data

[1338] Output: Data query

[1339] Specific behavior:

[1340] The server parses the received JSON data and converts each condition into an SQL query or similar search query, for example, price <= 100 AND fuelEfficiency >= 20.

[1341] Step 4:

[1342] The server searches the database to extract vehicle information that matches the user's criteria, then analyzes the extracted information and evaluates the characteristics of each vehicle (price, fuel efficiency, quietness, etc.) against the user's criteria.

[1343] Input: Data Query

[1344] Output: Vehicle model information as search results

[1345] Specific behavior:

[1346] The server executes a database query to list vehicle models that meet the criteria, analyzing customer reviews and giving high ratings to quieter models.

[1347] Step 5:

[1348] The server generates a list of optimal vehicle models based on the evaluated vehicle model data, converts this list into JSON format, etc., and sends it to the terminal.

[1349] Input: Evaluated vehicle model data

[1350] Output: Optimal car model list (JSON format)

[1351] Specific behavior:

[1352] The server generates a list, converts it into a format like {"cars": [{"name": "Car A", "price": "950,000 yen", "fuelEfficiency": "22km / L", "quietness": "4.5"}, {"name": "Car B", "price": "980,000 yen", "fuelEfficiency": "21km / L", "quietness": "4.0"}]}, and sends it to the terminal.

[1353] Step 6:

[1354] The terminal analyzes the list of car models received from the server and displays it in an appropriate format for the user. The list of car models includes detailed information such as price, fuel efficiency, and quietness rating for each car model.

[1355] Input: Optimal car model list (JSON format)

[1356] Output: A list of cars displayed to the user

[1357] Specific behavior:

[1358] The device displays the list in a table, listing each car's price, fuel economy, and quietness, and users can click on each car to view more information.

[1359] Step 7:

[1360] When a user selects a specific vehicle from the list, they are taken to a detailed information page for that vehicle, which includes information such as price, fuel economy, quietness rating, and insurance options.

[1361] Input: Selected vehicle model

[1362] Output:Detailed information page

[1363] Specific behavior:

[1364] When the user selects "Car A," a detailed page for that model is displayed, displaying information such as price, fuel efficiency, and quietness.

[1365] Step 8:

[1366] If the user decides to purchase the selected car model, the terminal displays a purchase procedure form. The user enters the necessary information and submits it to the server to confirm the purchase reservation.

[1367] Input: Purchase information entered by the user

[1368] Output: Purchase completion notification

[1369] Specific behavior:

[1370] The terminal displays an input form for name, address, contact information, etc., and when the user enters the information and presses the send button, the data is sent to the server.

[1371] Step 9:

[1372] The device also assists with the insurance application process, assisting users in selecting and completing the appropriate insurance plan. Based on the insurance plan selected by the user, the device inputs and submits the necessary information.

[1373] Input: User selected insurance plan and input information

[1374] Output: Notification of completion of insurance application procedure

[1375] Specific behavior:

[1376] The terminal displays multiple insurance plans, and when the user selects one, it displays the necessary documents and input form. When the user enters the information and submits it, the data is sent to the server.

[1377] (Application example 1)

[1378] 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."

[1379] Although systems already exist that allow users to quickly and easily select the optimal minicar based on their desired conditions, it is difficult to provide an experience similar to that of the real world. Furthermore, there are still not enough systems available that allow users to select a vehicle more intuitively, such as by using voice input to input conditions or by using visual displays using augmented reality (AR) technology. This leaves users unable to get a realistic feel for the vehicle when selecting the optimal minicar based on their desired conditions.

[1380] 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.

[1381] In this invention, the server includes an interface means for inputting desired conditions by the user, a terminal means for receiving the desired conditions input by the user, a server means for searching a database for suitable vehicle model information based on the received desired conditions, a server means for analyzing the searched vehicle model information and generating an optimal vehicle model list, a means for transmitting the generated vehicle model list to the terminal means and displaying it, a display means for displaying the generated vehicle model list in an augmented reality space so that the user can check it in real time, a voice recognition means for accepting voice input in real time, and a means for displaying detailed information of a vehicle selected from the displayed vehicle model list in the augmented reality space. This allows the user to intuitively input conditions by voice, and enables the user to quickly and easily select the optimal minicar in a more realistic manner through visual displays using augmented reality technology.

[1382] A "user" is an individual or corporation that uses the system to select a light vehicle based on desired conditions.

[1383] "Desired conditions" refer to criteria such as price, fuel economy, quietness, acceleration, annual mileage, number of passengers, leisure use, taxes, insurance, and toll charges that users specify when selecting a light vehicle.

[1384] The "interface means" refers to an input device or input method used by the user to input desired conditions, and includes voice recognition, touch operation, and the like.

[1385] "Terminal means" refers to a device that allows a user to input desired conditions using an interface means and displays the results, and refers to a smartphone, tablet, PC, smart glasses, head-mounted display, etc.

[1386] The "server means" is a computing device on a network that searches for and analyzes information on suitable vehicle models from a database based on the desired conditions received from the terminal means.

[1387] The "database" is an information management system that stores various information about light vehicles.

[1388] "Vehicle information" refers to detailed data on the price, fuel economy, quietness, acceleration, annual mileage, number of passengers, leisure use, taxes, insurance, mileage, etc. of light vehicles.

[1389] The "optimal vehicle model list" is a list of recommended minicars that is generated as a result of searching and analyzing the database based on the desired conditions received.

[1390] The "display means" is a function for transmitting the optimum vehicle model list generated by the server means to the terminal means and visually displaying it.

[1391] "Augmented reality space" refers to a state in which virtual reality information is overlaid on real-world information, and is a technology that allows users to display virtual objects and information in their actual space.

[1392] "Speech recognition means" refers to technology that converts a user's voice input into text data, and interprets voice commands for use within the system.

[1393] "Detailed information" refers to additional data required to consider a purchase, such as the price, fuel economy, quietness rating, and insurance plan of the selected minicar.

[1394] The present invention is a system for quickly and easily selecting the optimum light vehicle based on the user's desired conditions, and this system is implemented using a user terminal, a server, and augmented reality technology.

[1395] Basic system configuration

[1396] Users access the system using smart glasses or a head-mounted display (HMD). The user terminal is equipped with voice recognition and augmented reality (AR) display functions. Users can input their desired conditions using voice commands or gestures.

[1397] Process User Input

[1398] The user wears the smart device and issues a voice command to activate the system. For example, the system will begin operation once it recognizes a voice input such as "Activate the system and search for a car." The user then enters the conditions for each item (price, fuel economy, quietness, etc.) by voice. At this time, voice recognition technology such as the Google Speech-to-Text API is used to convert the voice data into text data and send it to the server.

[1399] Server processing process

[1400] The server receives and analyzes the text data sent from the device. The server is connected to a database, and searches the database for vehicle information that matches the received conditions. For example, if conditions such as a price of less than 1 million yen and a fuel efficiency of 20 km / L or more are specified, the server will first search for vehicles priced under 1 million yen, and then narrow down the results to those with a fuel efficiency of 20 km / L or more. Once vehicle information that matches the conditions is obtained, a list of optimal vehicles is generated.

[1401] Displaying results and providing detailed information

[1402] The generated list of optimal car models is sent to the terminal and displayed in an augmented reality space on the user's smart device. The user can visually check the listed car models in the virtual space through smart glasses or an HMD. To see more information, the user inputs further voice commands about the selected car model. For example, if the user inputs "Tell me more about this car," the server will provide more information. The augmented reality technology used is ARCore and ARKit.

[1403] Assistance with purchasing procedures and insurance enrollment procedures

[1404] Once a user selects a specific car model and decides to purchase it, they can complete the purchase and insurance procedures directly in the virtual store. The server manages the data required for these procedures and assists the user in completing the procedures using voice and gesture controls.

[1405] Examples of concrete examples and prompts

[1406] For example, if a user says, "I'm looking for a car with a fuel efficiency of 20km / L or more and that is quiet," a selection of light vehicles that meet the criteria will be displayed in the augmented reality space. Users can visually check the cars and obtain more detailed information about their favorite models by voice.

[1407] Example prompt for a generative AI model:

[1408] Design a smart device application that allows users to input their desired criteria for a minicar using voice commands and displays models that match those criteria in augmented reality. The conditions for use will be obtained using the Google Speech-to-Text API, and vehicle information will be displayed using ARCore. The specific conditions that users will input will be three items: price, fuel economy, and quietness. Build a system that sends these in JSON format to the server, obtains the filtering results, and then displays them in AR.

[1409] In this way, the system of the present invention combines voice recognition and augmented reality technology to efficiently support the process of users selecting the optimal minicar based on their desired conditions.

[1410] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1411] Step 1:

[1412] The user wears smart glasses or a head-mounted display and issues a voice command to start the system. For example, the user might say, "Start the system and search for a car." The input data is acquired as voice data, and the voice recognition library converts it into text data (data processing), which is then converted into a command called "Start the system." This converted text data is processed on the device, and the system is started.

[1413] input:

[1414] User's voice command: "Wake up the system and find my car."

[1415] output:

[1416] Text data "System startup instructions"

[1417] System startup triggers

[1418] Step 2:

[1419] After the system is launched, the user enters the desired vehicle conditions by voice. For example, "I'm looking for a car with a fuel efficiency of 20km / L or more and that is quiet." Speech recognition technology (Google Speech-to-Text API) converts this into text data and formats it as the conditions. This formatted data is then sent from the device to the server.

[1420] input:

[1421] User's voice command: "I'm looking for a car with a fuel efficiency of 20km / L or more and a very quiet car."

[1422] output:

[1423] Text data: "Fuel efficiency of over 20km / L, very quiet"

[1424] JSON format desired conditions data

[1425] Step 3:

[1426] The server receives the condition data sent from the device. Based on the received data, it searches the database for suitable vehicle information. In this process, it first filters by price, then by fuel economy, and then by noise level, and creates a list of the most suitable vehicles (data calculation). The resulting list is then formatted in JSON format and sent to the device.

[1427] input:

[1428] JSON format desired conditions data

[1429] output:

[1430] Optimal car model list (JSON format)

[1431] Step 4:

[1432] The device receives the list of optimal car models from the server and displays it in the augmented reality space. The user can visually check the list of car models through smart glasses or an HMD. Augmented reality technology (ARCore / ARKit) manages the list display and displays it superimposed on the real world.

[1433] input:

[1434] Optimal car model list (JSON format)

[1435] output:

[1436] A list of car models is displayed visually in the augmented reality space

[1437] Step 5:

[1438] The user selects a car model they are interested in from a list of models displayed in the augmented reality space and inputs a voice command to obtain detailed information about it, such as "Tell me more about this car." Speech recognition technology again converts this into text data, and a request is sent to the server.

[1439] input:

[1440] User's voice command: "Tell me more about this car"

[1441] output:

[1442] Text data "More information request"

[1443] Step 6:

[1444] Based on the request received from the device, the server retrieves detailed information about the selected vehicle model from the database. The retrieved detailed information is formatted in JSON format and sent to the device. During this process, information is retrieved from the database and data is processed.

[1445] input:

[1446] Text data "More information request"

[1447] output:

[1448] Detailed information (JSON format)

[1449] Step 7:

[1450] The device then displays the received details in the augmented reality space. Once the user has confirmed the details, if they wish to purchase or apply for insurance, they can do so using voice commands. These voice commands are then converted into text data using voice recognition technology and sent to the server.

[1451] input:

[1452] Detailed information (JSON format)

[1453] output:

[1454] Visualize detailed information in an augmented reality space

[1455] Through this process, users can use voice recognition and augmented reality technology to visually select the most suitable minicar based on their desired conditions, check detailed information, and smoothly complete the purchase and insurance procedures.

[1456] 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.

[1457] This invention is a system that allows users to input their desired conditions and quickly and easily select the light vehicle that best suits those conditions. This system is composed of a terminal operated by the user, a server that receives and processes the input data from the user, and a terminal that displays the processed results. In addition, by combining it with an emotion engine that recognizes the user's emotions, it becomes possible to propose more personalized vehicle models.

[1458] Basic system configuration

[1459] First, the user launches the application on their device. An interface is displayed on the device that allows the user to input the conditions for the light vehicle they are looking for. This interface includes items such as price, fuel economy, quietness, acceleration, annual mileage, number of passengers, leisure / work use, tax, insurance, and mileage charges.

[1460] Process User Input

[1461] The user inputs their desired conditions through the interface. The device formats the input data (e.g., JSON format) and sends it to the server. The emotion engine then analyzes the user's emotions from their facial expressions, voice, or text data, and sends the analysis results to the server.

[1462] Server processing process

[1463] The server receives the data sent from the device and analyzes it, which includes the following steps:

[1464] 1. Search the database for vehicle information that matches the criteria.

[1465] 2. Taking into account the user's emotional data sent from the emotion engine, the detailed characteristics of each vehicle model are evaluated and the vehicle model that best suits the user is selected.

[1466] For example, if a user inputs conditions such as "price under 1 million yen," "fuel economy of 20 km / L or more," and "quietness: as quiet as possible," the server will first extract models priced under 1 million yen, then narrow down the results to models with fuel economy of 20 km / L or more. Next, it will prioritize models with high ratings for quietness based on the user's word-of-mouth data for each model. Furthermore, the final model selection will be made based on the user's emotions (for example, whether they are stressed or looking for fun) analyzed by the emotion engine.

[1467] Generate a list of optimal car models

[1468] The server generates a list of the filtered vehicle information and sends it to the user's terminal. This list includes detailed information about each vehicle, such as its price, fuel economy, and comfort rating.

[1469] Displaying results and providing detailed information

[1470] The device analyzes the list of vehicle models received from the server and displays it in an appropriate format for the user. When the user selects a specific vehicle model from the list, a detailed information page for that vehicle model is displayed. The detailed information page provides the information the user needs to consider purchasing, such as price, fuel economy, comfort rating, and insurance plans. Furthermore, the display and presentation method can be dynamically changed based on the analysis results of the emotion engine.

[1471] Assistance with purchasing procedures and insurance enrollment procedures

[1472] If the user decides to purchase the selected vehicle model, the terminal will guide them through the purchase procedure. The user enters the necessary information into a designated form and sends it to the server to confirm the purchase reservation. The terminal also simultaneously assists with the insurance application process, providing integrated support for selecting and completing the appropriate insurance plan.

[1473] In this way, the system of the present invention not only provides a series of processes for quickly and easily selecting the optimal light vehicle based on the user's desired conditions, but also utilizes an emotion engine to make more personalized suggestions and efficiently support the purchasing and insurance procedures.

[1474] The processing flow will be explained below.

[1475] Step 1:

[1476] The user starts the application, and the device displays an interface for the user to input the conditions for the desired light vehicle.

[1477] Step 2:

[1478] The user inputs their desired conditions through the interface, such as price, fuel economy, quietness, acceleration, annual mileage, number of passengers, leisure / work use, taxes, insurance, and mileage charges.

[1479] Step 3:

[1480] The device formats the input data (e.g., JSON format), and at the same time, the device's built-in emotion engine analyzes the user's emotions from facial expressions, voice, or text data.

[1481] Step 4:

[1482] The device sends the formatted data and the analysis results of the emotion engine to the server using an HTTP request.

[1483] Step 5:

[1484] The server receives the request, analyzes the data, and prepares to search the database based on the desired criteria.

[1485] Step 6:

[1486] The server searches the database and extracts information on car models that match the user's desired criteria. Specifically, it filters out car models that match each criteria, such as price less than 1 million yen and fuel efficiency of 20km / L or more.

[1487] Step 7:

[1488] The server analyzes the details of the vehicle information extracted. Based on customer reviews and the characteristics of each vehicle, it evaluates quietness and acceleration, etc., and narrows down the most suitable vehicle. It also takes into account emotional data from the emotion engine to select the vehicle that best suits the user's emotions.

[1489] Step 8:

[1490] The server generates a list of the most suitable vehicles, including detailed information such as price, fuel economy, quietness rating, and acceleration for each vehicle.

[1491] Step 9:

[1492] The server converts the generated vehicle list into JSON or XML format, and sends the converted data to the device as an HTTP response.

[1493] Step 10:

[1494] The device analyzes the data received from the server. The analysis results are displayed in an appropriate format for the user. For example, it may display "The light vehicles that best suit your requirements are as follows" and display a list of specific vehicle information (Vehicle Type A, Vehicle Type B, etc.).

[1495] Step 11:

[1496] The user selects a specific car model from the list. The device displays a detailed information page for the selected car model, including price, fuel economy, quietness, and customer reviews. The display and presentation method also dynamically changes based on the analysis results of the emotion engine.

[1497] Step 12:

[1498] If the user decides to purchase, the device displays a purchase procedure guide and input form. The user enters the necessary information and sends it to the server to confirm the purchase reservation.

[1499] Step 13:

[1500] The server accepts the purchase reservation and notifies the dealer. The terminal displays a transaction completion notice to the user and guides them through the next steps (confirming the delivery date, applying for insurance, etc.).

[1501] Step 14:

[1502] The device assists the user in the insurance application process, allowing them to select the appropriate insurance plan and providing instructions to complete the process.

[1503] Example 2

[1504] 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."

[1505] Conventional vehicle selection systems provide vehicle information by considering only the user's desired conditions, which results in a problem of being unable to make suggestions that reflect the user's emotions or individual preferences. This makes it difficult for users to make an optimal selection based on their emotions and conditions, and they may be dissatisfied with the selection results. The present invention aims to solve this problem and provide a system that allows users to quickly and easily select a more optimal vehicle model by making personalized suggestions that take the user's emotions into consideration.

[1506] 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 an interface means for inputting desired conditions by the user, a terminal means for receiving the desired conditions input by the user, a server means for searching a database for suitable vehicle model information based on the received desired conditions and emotion data, a server means for analyzing the emotion data and combining it with the received desired conditions to generate an optimal vehicle model list, and a means for transmitting the generated vehicle model list to the terminal means and displaying it. This makes it possible to propose personalized vehicle models that take the user's emotions into consideration, thereby increasing user satisfaction.

[1507] "User" means an individual or legal entity that uses the system and enters criteria for the purpose of selecting and purchasing a vehicle.

[1508] "Interface means" refers to a screen or form for the user to input desired conditions, or an application function, and is the means by which the user interacts with the system.

[1509] "Terminal means" refers to a device used by a user, such as a computer, smartphone, or tablet, and is a means for sending input data to a server and receiving information from the server.

[1510] "Server means" refers to a computer system for managing a database, analyzing condition data and emotion data received from users, and searching for and listing information on suitable vehicle models.

[1511] "Emotion data" is data that indicates the user's emotions and psychological state analyzed from facial expressions, voice, text, etc.

[1512] "Database" refers to an information management system that stores information such as vehicle model information, price, fuel efficiency, and quietness evaluation.

[1513] "Vehicle information" is detailed data about a specific vehicle model, including information such as price, fuel efficiency, quietness, acceleration, annual mileage, number of passengers, use, taxes, insurance, and mileage charges.

[1514] "Analysis" refers to the process of processing and evaluating received data based on certain rules and algorithms to derive meaningful information.

[1515] "Generate" refers to the act of creating new data or lists based on the analysis results, which in this system means creating an optimal vehicle model list.

[1516] "Display means" refers to the function of the device screen or application for visually presenting the optimal vehicle model list and detailed information sent from the server to the user.

[1517] This invention is a system for selecting the optimal minicar based on the conditions entered by a user desiring a car. The system includes a terminal operated by the user, a server that receives and processes the data entered by the user, and a terminal that displays the processed results. In addition, by combining it with an emotion engine that analyzes the user's emotions, it becomes possible to propose more personalized car models.

[1518] The device used by the user

[1519] The user launches the application using a device such as a smartphone, tablet, or PC. This application displays an interface that allows the user to input the conditions for the light vehicle they desire. The interface includes items such as price, fuel economy, quietness, acceleration, annual mileage, number of passengers, purpose (leisure / work), tax, insurance, and mileage charges. The user can input specific conditions for these items.

[1520] Data analysis by the server

[1521] The conditions entered by the user through the interface are sent from the device to the server. At this time, the data is formatted in JSON, and the emotional data analyzed by the emotion engine is also sent to the server. The server receives this data and first searches its database for vehicle information that matches the conditions.

[1522] Specifically, the server does the following:

[1523] 1. Based on the price item, extract car models that do not exceed the upper price limit.

[1524] 2. Use fuel economy as a criterion to narrow down your search to cars that meet or exceed your desired fuel economy.

[1525] 3. Evaluate customer reviews and other data regarding quietness, and prioritize models that meet those criteria.

[1526] The server also considers the user's emotional data sent from the emotion engine and applies evaluation criteria according to the user's emotions, such as selecting a car model that will help them relax if they are feeling stressed.

[1527] Generate and send a list of optimal vehicles

[1528] The server generates a list of optimal vehicle models based on the analysis results. This list includes detailed information about each vehicle, such as price, fuel efficiency, and quietness. The generated list is then sent to the user's device.

[1529] Displaying results and providing detailed information on the device

[1530] The device displays the received list of car models to the user. When the user selects a specific car model from the list, a detailed information page for that car model is displayed. This page provides the information the user needs to consider purchasing, such as price, fuel efficiency, quietness, and insurance plans. It is also possible to dynamically change the content and presentation method displayed based on the analysis results of the emotion engine.

[1531] Assistance with purchasing procedures and insurance enrollment procedures

[1532] When the user decides to purchase the selected vehicle model, the terminal guides them through the purchase procedure. The user enters the necessary information into a designated form and sends it to the server to confirm the purchase reservation. The terminal also assists with the insurance application process, providing comprehensive support for selecting and completing the appropriate insurance plan.

[1533] For example, if a user wants a car that is quiet and comfortable, priced under 1 million yen, and has a fuel economy of 20km / L or better, the prompt would look like this:

[1534] Example prompt sentence:

[1535] User: I'm looking for a light car that costs less than 1 million yen and has a fuel economy of 20km / L or more. I'd also like it to be quiet and comfortable.

[1536] system:

[1537] 1. Have the user enter their desired conditions.

[1538] 2. Convert the input data into JSON format and send it to the server.

[1539] 3. Analyze the user's emotions using the emotion engine and send the analyzed data to the server.

[1540] 4. The server searches the database for the relevant car model and selects the appropriate car model taking into account the emotional data.

[1541] 5. Generate the final vehicle list and send it to the user's device.

[1542] 6. The device displays the received list to the user and also provides a detailed information page.

[1543] 7. Assist users in the purchasing and insurance procedures for the vehicle they have selected.

[1544] In this way, the present invention provides a system for quickly and easily selecting the most suitable light vehicle based on the user's desired conditions and feelings.

[1545] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1546] Step 1: Launching the Application

[1547] The user launches the application using the terminal. Input: The user operates the terminal. Output: An interface for entering the conditions for a light vehicle is displayed on the terminal. The interface displays the following items: price, fuel efficiency, quietness, acceleration, annual mileage, number of passengers, purpose, tax, insurance, and mileage charges.

[1548] Step 2: Enter the conditions

[1549] The user inputs the desired criteria for a minicar through the interface. Input: The user inputs each criteria into the form. Output: The criteria data is saved on the terminal. As a concrete example, the user can select a car that is priced under 1 million yen, has a fuel efficiency of 20km / L or more, and is quiet.

[1550] Step 3: Convert data format and send

[1551] The device formats the input data into JSON format. Input: Condition data entered by the user. Output: Data converted into JSON format. This data is then ready to be sent to the server. At the same time, the device starts an emotion engine, which collects emotion data from the user's facial expressions and voice, converts it into JSON format, and sends it to the server.

[1552] Step 4: Receiving and analyzing data

[1553] The server receives JSON data sent from the device. Input: Condition data and emotion data sent from the device. Output: Internal data structure for analyzing the received data. The server first begins searching the database for vehicle model information that matches the conditions.

[1554] Step 5: Search based on criteria

[1555] The server searches the database based on the received condition data. Input: Parsed condition data in JSON format. Output: List of car models that match the conditions. As a specific example, the server first extracts car models priced under 1 million yen, and then narrows them down to cars with a fuel efficiency of 20 km / L or more.

[1556] Step 6: Consider and evaluate the sentiment data

[1557] The server analyzes the user's emotional data obtained from the emotion engine and uses it to narrow down the search criteria. Input: Analyzed emotional data. Output: A list of car models that best fit the user's emotional state. For example, if the user is looking for a relaxing experience, quieter cars will be prioritized on the list.

[1558] Step 7: Generate a list of optimal vehicles

[1559] The server generates a list of optimal car models based on the analysis of the condition data and emotion data. Input: A narrowed-down list of car models. Output: A list of optimal car models. This list includes detailed information such as price, fuel efficiency, and quietness.

[1560] Step 8: Submit your list

[1561] The server sends the generated list of optimal car models to the terminal. Input: Generated car model list. Output: Data sent to the user's terminal. The user can check this list on the terminal.

[1562] Step 9: View the list and provide more information

[1563] The terminal displays the received car model list to the user. Input: Car model list data sent from the server. Output: Car model list displayed on the screen. When the user selects a specific car model, a detailed information page for that car model is displayed.

[1564] Step 10: Purchase and Insurance Process Guidance

[1565] The terminal guides the user through the purchase procedure for the vehicle model selected. Input: Data on the specific vehicle model selected by the user. Output: A purchase procedure form and instructions are displayed. The user enters the purchase information and sends it to the server to confirm the purchase reservation. The terminal also assists with insurance enrollment procedures, supporting the selection and procedure of an appropriate insurance plan.

[1566] The above is the specific flow of the system's program processing.

[1567] (Application example 2)

[1568] 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."

[1569] Conventional car model selection systems select cars based solely on the user's desired conditions, which means they are unable to provide personalized recommendations that take into account the user's emotions and psychological state. Furthermore, conventional systems do not provide sufficient support for the purchasing and insurance procedures, placing a heavy burden on users. It is desirable to address these issues.

[1570] 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.

[1571] In this invention, the server includes emotion analysis means for analyzing the user's emotions, means for searching a database for suitable vehicle model information based on the received desired conditions, and means for generating an optimal vehicle model list based on the searched vehicle model information and the emotion analysis results. This makes it possible to propose personalized vehicle models that take the user's emotions into consideration, and further reduces the burden on the user by supporting the purchase procedure and insurance application procedure.

[1572] The term "interface means" refers to an operation screen or input device for the user to input desired conditions.

[1573] "Terminal means" refers to a device that receives desired conditions input by a user, such as a smartphone or a personal computer.

[1574] The term "server means" refers to a central processing unit that searches for and processes information on suitable vehicle models from a database based on the received desired conditions.

[1575] "Emotion analysis means" refers to software or a system that recognizes emotions by analyzing the user's facial expressions and voice data.

[1576] "Scheme" in this context means a process or method for transmitting and displaying the generated vehicle list to a terminal means.

[1577] "Database" means an integrated system in which vehicle information and user requirements data are stored.

[1578] The "optimal car model list" refers to a list of the most suitable car models for purchase, selected based on the user's desired conditions and the results of sentiment analysis.

[1579] "Means to support purchasing procedures and insurance application procedures" means a system that guides users through the procedures for purchasing a vehicle and introduces and selects an appropriate insurance plan.

[1580] This invention is a system that allows users to input their desired conditions and quickly and easily select the light vehicle that best suits those conditions. This system is composed of a terminal operated by the user, a server that receives and processes the input data from the user, and a terminal that displays the processed results. In addition, by combining it with an emotion analysis means that recognizes the user's emotions, it becomes possible to propose more personalized vehicle models.

[1581] User condition input and sentiment analysis

[1582] The user launches the application on the device, and an interface is displayed on the device that allows the user to input the conditions for the light vehicle they desire. This interface includes items such as price, fuel efficiency, quietness, acceleration, annual mileage, number of passengers, leisure use, tax, insurance, and mileage charges.

[1583] When the user inputs their desired conditions through the interface, the device formats the input data (e.g., JSON format) and sends it to the server. In addition, the emotion analysis means analyzes the user's emotions from their facial expressions and voice and sends the results to the server.

[1584] Server processing

[1585] The server receives the input data and sentiment analysis results sent by the user and analyzes them. The analysis includes the following processes:

[1586] 1. Data search: The server searches the database for vehicle information that matches the user's desired conditions.

[1587] 2. Use of sentiment analysis results: Taking into account the user sentiment data sent from the sentiment analysis means, the detailed characteristics of each vehicle model are evaluated.

[1588] 3. Selection of the optimal vehicle model: Based on the user's conditions and the results of sentiment analysis, the most suitable vehicle model for the user is selected.

[1589] For example, if a user inputs conditions such as "price less than 1 million yen," "fuel efficiency of 20km / L or more," and "quietness: as quiet as possible," and the emotion of "expectation" is detected as a result of the emotion analysis, the system will narrow down the search to models priced under 1 million yen, select models with a fuel efficiency of 20km / L or more, and then prioritize models with a high rating for quietness. The final selection will be made taking into account the emotion analysis results.

[1590] Generate and display a list of optimal vehicle models

[1591] The server generates a list of filtered vehicle information and sends this list to the user's device. The user's device receives the optimal vehicle list and displays it in an appropriate format. When the user selects a specific vehicle from the list, a detailed information page for that vehicle is displayed. The detailed information page contains information the user needs to consider purchasing, such as price, fuel efficiency, quietness rating, and insurance plans.

[1592] Assistance with purchasing procedures and insurance enrollment procedures

[1593] If the user decides to purchase the selected vehicle model, the terminal will guide them through the purchase procedure. The user enters the necessary information into a designated form and sends it to the server to confirm the purchase reservation. The terminal also simultaneously assists with the insurance application procedure, running a program that selects and proposes an appropriate insurance plan to the user.

[1594] Hardware and software used

[1595] Hardware: Smartphone (camera, microphone)

[1596] Software: Sentiment analysis engine, database management system

[1597] As a concrete example, if the user inputs "price less than 1 million yen," "fuel economy over 20km / L," and "quietness: as quiet as possible," and emotion analysis detects the emotion of "expectation," the following prompt sentence will be used:

[1598] "When a user inputs 'price under 1 million yen', 'fuel economy over 20km / L', and 'quietness: as quiet as possible', and emotion analysis detects the emotion of 'expectation,' design a process to select the most suitable minicar and display detailed information."

[1599] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1600] Step 1:

[1601] The user starts the application on the terminal and inputs the desired conditions for the light vehicle.

[1602] Input: price, fuel economy, quietness, acceleration, annual mileage, number of passengers, leisure use, tax, insurance, mileage

[1603] Output: Formatted input data (e.g. JSON format)

[1604] Specific operation: When the user enters the desired conditions into the interface and presses the "Submit" button, the input data is formatted in JSON format.

[1605] Step 2:

[1606] Emotions are analyzed from the user's facial expressions and voice recorded on the device.

[1607] Input: User's facial expression data, voice data

[1608] Output: Emotional analysis results (e.g. expectations, anxiety, excitement)

[1609] Specific operation: The device's camera and microphone capture the user's facial expressions and voice, and send them to the emotion analysis engine for analysis.

[1610] Step 3:

[1611] The device sends the input data and emotion analysis results to the server.

[1612] Input: Formatted input data, sentiment analysis results

[1613] Output: Data sent to the server

[1614] Specific operation: The device sends the input data in JSON format and the emotion analysis results to the server's API endpoint as a POST request.

[1615] Step 4:

[1616] The server analyzes the input data received from the user and searches the database for vehicle model information that matches the conditions.

[1617] Input: User's desired conditions data, emotion analysis results

[1618] Output: Searched vehicle information

[1619] Specific operation: The server executes a database query to retrieve vehicle information that meets the specified criteria.

[1620] Step 5:

[1621] The server takes into account the results of the sentiment analysis, evaluates the detailed characteristics of each vehicle model, and generates a list of optimal vehicle models.

[1622] Input: Searched car model information, emotion analysis results

[1623] Output: Best car model list

[1624] Specific operation: Based on the results of sentiment analysis, user reviews and evaluation data for each vehicle model are taken into consideration, and an evaluation score is calculated to create a list of optimal vehicle models.

[1625] Step 6:

[1626] The server transmits the generated vehicle model list to the terminal.

[1627] Input: Best car model list

[1628] Output: List of car models sent to the terminal

[1629] Specific operation: The server sends the list of car models to the terminal in JSON format.

[1630] Step 7:

[1631] The terminal displays the received list of vehicle models to the user and provides a function for accessing a page of detailed information.

[1632] Input: Best car model list

[1633] Output: The car list and detailed information page displayed to the user

[1634] Specific operation: The device parses the received list of car models and displays it to the user in an appropriate format. When the user selects a specific car model, a detailed information page for that car model is displayed.

[1635] Step 8:

[1636] The user completes the purchase and insurance procedures for the vehicle model selected.

[1637] Input: User-selected vehicle information, information required for purchase and insurance application

[1638] Output: Confirmation of purchase reservation, selection and procedure of insurance plan

[1639] Specific operation: The user enters the necessary information into the form and presses the submit button to send it to the server. The server confirms the purchase reservation and proposes and selects an appropriate insurance plan.

[1640] 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.

[1641] 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.

[1642] 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.

[1643] 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.

[1644] FIG. 9 illustrates 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 behaviors 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.

[1645] 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.

[1646] 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).

[1647] 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.

[1648] 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."

[1649] 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.

[1650] 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).

[1651] 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.

[1652] 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.

[1653] 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.

[1654] 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.

[1655] 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.

[1656] 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.

[1657] 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.

[1658] 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.

[1659] 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.

[1660] 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.

[1661] The following is further disclosed regarding the above embodiment.

[1662] (Claim 1)

[1663] an interface means for a user to input desired conditions;

[1664] a terminal means for receiving the desired conditions input by the user;

[1665] A server means for searching a database for suitable vehicle model information based on the received desired conditions;

[1666] A server means for analyzing the searched vehicle model information and generating an optimal vehicle model list;

[1667] and means for transmitting the generated vehicle model list to a terminal means and displaying the list.

[1668] (Claim 2)

[1669] 2. The system according to claim 1, wherein the server means searches for vehicle information based on conditions such as price, fuel efficiency, quietness, acceleration, annual mileage, number of passengers, leisure use, tax, insurance, and mileage charges.

[1670] (Claim 3)

[1671] 2. The system according to claim 1, wherein the terminal means has means for displaying detailed information about a vehicle model selected from the displayed vehicle model list, and for supporting purchasing procedures and insurance application procedures.

[1672] "Example 1"

[1673] (Claim 1)

[1674] an interface means for a user to input desired conditions;

[1675] a terminal means for formatting and transmitting the desired conditions input by the user;

[1676] A server means for analyzing the received desired conditions and searching for suitable vehicle model information from a database;

[1677] server means for evaluating and filtering the analyzed information;

[1678] a server means for generating an optimum vehicle model list and transmitting the list to a terminal means;

[1679] a terminal means for displaying the received vehicle model list;

[1680] A system including:

[1681] (Claim 2)

[1682] 2. The system according to claim 1, wherein the server means searches for and evaluates vehicle information based on conditions such as price, fuel economy, quietness, acceleration, annual mileage, number of passengers, intended use, tax, insurance, and driving costs.

[1683] (Claim 3)

[1684] 2. The system according to claim 1, wherein the terminal means has means for displaying detailed information about a vehicle model selected from the displayed vehicle model list, and for supporting purchasing procedures and insurance application procedures.

[1685] "Application Example 1"

[1686] (Claim 1)

[1687] an interface means for a user to input desired conditions;

[1688] a terminal means for receiving the desired conditions input by the user;

[1689] A server means for searching a database for suitable vehicle model information based on the received desired conditions;

[1690] A server means for analyzing the searched vehicle model information and generating an optimal vehicle model list;

[1691] means for transmitting the generated vehicle model list to a terminal means and displaying the list;

[1692] A display means for displaying the generated vehicle model list in an augmented reality space so that the user can check it in real time;

[1693] a speech recognition means for accepting speech input in real time;

[1694] a means for displayin...

Claims

1. an interface means for a user to input desired conditions; a terminal means for receiving the desired conditions input by the user; A server means for searching a database for suitable vehicle model information based on the received desired conditions; A server means for analyzing the searched vehicle model information and generating an optimal vehicle model list; and means for transmitting the generated vehicle model list to a terminal means and displaying the list.

2. 2. The system according to claim 1, wherein said server means searches for vehicle information based on conditions such as price, fuel economy, quietness, acceleration, annual mileage, number of passengers, leisure use, tax, insurance, and mileage charges.

3. 2. The system according to claim 1, wherein said terminal means has means for displaying detailed information about a vehicle model selected from the displayed vehicle model list, and for supporting purchasing procedures and insurance application procedures.

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