System
A system for vehicle customization and test drive reservations addresses the challenge of appealing to young car buyers by using AI for real-time customization and simplified reservation processes, improving user experience and manufacturer responsiveness.
Patent Information
- Application Number
- JP2024126230
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2024-08-01
- Publication Date
- 2026-02-13
AI Technical Summary
Young generations are reluctant to own cars due to a lack of vehicles that appeal to their taste, and manufacturers face challenges in customizing vehicles to meet diverse user needs, leading to difficulties in customization and test drive reservations.
A system that allows users to customize vehicle interiors and exteriors through a terminal, utilizing an AI module for real-time analysis and recommendation, and facilitates test drive reservations, with a server managing and processing these customizations and reservations.
Enables users to easily customize vehicles to their liking, enhances the test drive reservation process, and allows manufacturers to meet varied customer needs effectively.
Smart Images

Figure 2026023909000001_ABST
Abstract
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] Today's young generation is increasingly reluctant to own a car. One of the reasons for this is that there are few cars that appeal to them, making it difficult for them to find one that suits their taste. Manufacturers also face the challenge of offering vehicles that meet diverse needs, making it difficult to customize vehicles to meet specific user requests. [Means for solving the problem]
[0005] The present invention provides a customization screen that operates on a terminal for users to customize the interior and exterior of a vehicle, and includes a means for saving the customization details selected by the user through the customization screen in real time, a means including an AI module that analyzes the saved customization details and presents the next recommended customization, a means for accepting test drive reservations for the customized vehicle, and a means for transmitting test drive reservation information to a dealer and preparing the test drive vehicle. The system also includes a means for sending a test drive reservation confirmation email to the user and a means for retrieving the user's past customization history from a database and generating recommended customizations based on that history. This allows users to easily customize their car to their liking and increase their desire to purchase by actually test driving it. Furthermore, it enables manufacturers to provide vehicles that meet a variety of needs.
[0006] "User" means an individual or corporation that uses the system to customize a vehicle.
[0007] A "terminal" is an electronic device, such as a PC, tablet, or smartphone, that allows a user to access and operate the system.
[0008] "Customization Screen" means the interface displayed to a User to select and modify the interior and exterior of a Vehicle.
[0009] "Customization details" refer to the specifications and decoration details of each part of the vehicle's interior and exterior selected by the user.
[0010] The "means for saving in real time" is a function for instantly saving the selections made by the user on the customization screen to the server.
[0011] An "AI module" is software that uses artificial intelligence to analyze user selections and past history to generate the next recommended settings.
[0012] The "means for accepting test drive reservations" is a system function that allows a user to make a test drive reservation when customization is complete.
[0013] A "dealer" is an automobile retailer that sells vehicles and offers test drives to users.
[0014] The "database" is the system's internal data storage for storing and managing past customization history and user information.
[0015] "Recommended customization" refers to optimized customization settings that the AI module presents to the user based on analysis. [Brief explanation of the drawings]
[0016] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION
[0017] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.
[0018] First, the terms used in the following description will be explained.
[0019] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).
[0020] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.
[0021] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.
[0022] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.
[0023] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."
[0024] [First embodiment]
[0025] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.
[0026] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.
[0027] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).
[0028] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.
[0029] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.
[0030] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.
[0031] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.
[0032] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.
[0033] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.
[0034] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.
[0035] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.
[0036] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."
[0037] This invention is a system that allows users to customize the interior and exterior of a vehicle according to their preferences and then book a test drive based on the customized content. This system implements a series of processes in which the user operates the customization screen through a terminal, and the server saves and analyzes the selections in real time.
[0038] System processing flow
[0039] Start customization and get user information
[0040] The user starts customization on the device using a dedicated website or application. When the user accesses the website, the server retrieves the user's basic information and past customization history from the database and displays recommended settings on the customization screen.
[0041] Customization progress and saving
[0042] When a user selects various settings on the customization screen, the selections are sent from the device to the server in real time. The server stores the selections in a database and activates an AI module to analyze the user's selections. Based on the analysis results, the next recommended customization settings are displayed on the customization screen in real time.
[0043] Customization screen
[0044] The customization screen is a user interface that is easy for users to operate. Users can intuitively select interior colors and materials, seat arrangements, wheel designs, exterior paint, etc. Selections are instantly reflected on the screen, allowing users to visually confirm their selections.
[0045] Test drive booking and preparation
[0046] When the customization is complete, the user clicks the "Save" and "Book a test drive" buttons. The server receives the final customization details and test drive reservation information and saves them in the database. At the same time, it instructs the dealer to prepare for the test drive and sends a confirmation email to the user.
[0047] Specific examples
[0048] For example, if a user changes the interior seats to leather, categorizes the wheels as a sporty type, and changes the exterior color to red, the selections are sent in real time from the device to the server. The server stores the data, and the AI module presents a sporty exterior design as the next recommendation. Once the user has completed all customizations, an option to book a test drive appears, and the user can make a reservation. This information is sent to the dealer via the server, and a test drive will be conducted in the prepared vehicle at the specified date and time.
[0049] This system allows users to easily customize their vehicle to their liking and experience their choice through test drives, while also making it easier for manufacturers and dealers to provide services that meet a variety of needs.
[0050] The processing flow will be explained below.
[0051] Step 1:
[0052] The user accesses a dedicated website or application and opens the customization screen.
[0053] Step 2:
[0054] The server retrieves the user's basic information and past customization history from the database.
[0055] Step 3:
[0056] Based on the information obtained by the server, recommended settings are displayed on the customization screen.
[0057] Step 4:
[0058] The user selects interior, exterior and other settings on the customization screen.
[0059] Step 5:
[0060] The device displays a real-time preview of the user's selections.
[0061] Step 6:
[0062] The device transmits the selection to the server in real time.
[0063] Step 7:
[0064] The server saves the selection in a database.
[0065] Step 8:
[0066] The server launches an AI module to analyze the saved selections.
[0067] Step 9:
[0068] Based on the analysis results, the server generates the next recommended customization settings and sends them to the device.
[0069] Step 10:
[0070] Once the user has completed all customizations, they click the "Save" and "Book a Test Drive" buttons.
[0071] Step 11:
[0072] The terminal sends the final customization details and test drive reservation information to the server.
[0073] Step 12:
[0074] The server stores the final customization details and test drive reservation information in a database.
[0075] Step 13:
[0076] The server sends the test drive reservation information to the dealer.
[0077] Step 14:
[0078] The server sends a confirmation email to the user confirming the test drive reservation.
[0079] Step 15:
[0080] The dealer prepares a vehicle with the specified customization based on the test drive reservation information from the server.
[0081] Example 1
[0082] 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."
[0083] Conventional vehicle customization systems lacked the functionality to reflect user customizations in real time and to analyze the selections and present the next recommended settings. As a result, users often were unable to make satisfactory choices during the customization process. Another issue was the complicated test drive reservation process, which required a lot of time and effort.
[0084] 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.
[0085] In this invention, the server includes: means for providing a customization screen that operates on a terminal, allowing a user to customize the interior and exterior of a vehicle; means for saving customization details selected by the user through the customization screen in real time; means including an AI module that analyzes the saved customization details and presents the next recommended customization; means for accepting test drive reservations for the customized vehicle; means for transmitting test drive reservation information to a dealer and preparing the test drive vehicle; and means for displaying recommended customization settings in real time based on the user's selections. This allows users to intuitively and efficiently customize their vehicle and make optimal choices while checking the results in real time. The test drive reservation process is also simplified, improving the user experience.
[0086] "User" refers to a person who uses the system to customize the interior and exterior of a vehicle and schedule a test drive.
[0087] "Customization screen" refers to an interface that allows users to intuitively select and change the interior and exterior of their vehicle.
[0088] "Terminal" refers to a device that displays a customization screen and accepts user input.
[0089] "Server" refers to a computer system that stores user customizations and basic information and processes them in real time.
[0090] "Means for saving in real time" refers to a function that instantly records changes made by the user on the customization screen.
[0091] "AI module" refers to artificial intelligence that analyzes the user's customizations and generates the next recommended settings.
[0092] "Recommended customization" refers to the customization settings that the AI module suggests to the user that are considered optimal.
[0093] "Means for accepting test drive reservations" refers to a function for making test drive reservations based on the customization details of the vehicle selected by the user.
[0094] "Dealer" refers to a company that provides test drive vehicles to users.
[0095] A "confirmation notice" refers to a message sent to a user once a test drive reservation has been completed, informing the user of the details of the reservation.
[0096] "Past customization history" refers to a record of customizations previously performed by a user.
[0097] "Database" refers to a system that centrally manages and stores data such as user information and customization history.
[0098] The "means for displaying recommended customization settings" refers to a function that presents customization options suitable for the user on the customization screen based on the results of the analysis by the server.
[0099] The present invention is a system that allows a user to customize the interior and exterior of a vehicle and then book a test drive based on the customized content. This system is implemented through the following processing flow.
[0100] The user starts customization on the device using a dedicated website or application. The server retrieves the user's basic information and past customization history from the database and displays recommended settings on the customization screen.
[0101] The user selects various settings on the customization screen, such as interior color and material, seat arrangement, wheel design, and exterior paint. The device transmits these selections in real time to the server, which stores them in a database. The server then activates an AI module to analyze the user's selections and displays the next recommended customization settings on the customization screen in real time.
[0102] For example, suppose a user changes the interior seats to leather, the wheels to a sports type, and the exterior color to red. In this case, the device immediately reflects these selections on the screen and sends them to the server. The server stores the received data in a database, and an AI module analyzes the user's selections and presents a sporty exterior design as the next recommended item. Once the user has completed all customization settings, an option to book a test drive is displayed, so the user can make a reservation. This information is then sent to the dealer via the server, and a test drive is conducted in the prepared vehicle at the specified date and time.
[0103] The system allows users to easily and intuitively customize their vehicle according to their preferences. Furthermore, by utilizing an AI module to analyze user selections and provide real-time recommendations for the next setup, the system enables an efficient and satisfying customization experience. The test drive booking process is also simple and quick, further improving the user experience.
[0104] An example prompt would be:
[0105] "Write a program that describes a system that allows users to customize the interior and exterior of a vehicle. Schedule a test drive based on the customizations you've made, and describe in detail the flow the user follows through the customization screens. Include real-time storage and analysis of the user's selections, and subsequent recommendations."
[0106] This allows users to easily customize their ideal vehicle and experience their selection through a test drive, and also makes it easier for manufacturers and dealers to provide services that meet a variety of needs.
[0107] The flow of the identification process in the first embodiment will be described with reference to FIG.
[0108] Specific explanation of processing steps
[0109] Step 1:
[0110] A user accesses a dedicated website or application and sees a customized start screen.
[0111] Input: User initiated customization.
[0112] Output: The customization start screen will be displayed on the device.
[0113] Specific operation: When a user clicks the "Start customization" button on a website or in an app, the device sends a request to the server, which generates and displays the customization screen.
[0114] Step 2:
[0115] The server retrieves the user's basic information and past customization history from the database.
[0116] Input: User ID or login information.
[0117] Output: Obtain the user's basic information and past customization history, and display recommended settings on the customization screen.
[0118] Specific operation: The server searches the database based on the user's ID, retrieves past customization history and basic information, and uses that information to display initial recommended settings on the customization screen.
[0119] Step 3:
[0120] Users can select interior color and materials, seat arrangement, wheel design, exterior paint, and more on the customization screen.
[0121] Input: Setting changes made by the user on the customization screen.
[0122] Output: The changed settings are displayed on the terminal.
[0123] Specific operation: When the user selects an item, the device reflects the changes on the screen in real time and sends the selection to the server.
[0124] Step 4:
[0125] The device transmits the user's selections to the server in real time.
[0126] Input: Data for customization settings changes.
[0127] Output: The selections are sent to the server and stored.
[0128] Specific operation: The terminal immediately transmits the user's selections to the server, which stores the data in a database.
[0129] Step 5:
[0130] The server analyzes the saved selections and uses an AI module to generate the next recommended customization settings.
[0131] Input: The user's current customization selections.
[0132] Output: Recommended customization settings generated by the AI module.
[0133] What it does: The server launches an AI module to analyze the user's selections and generate the next set of recommended customizations based on the results.
[0134] Step 6:
[0135] The server displays the generated recommended customization settings on a customization screen through the terminal.
[0136] Input: Recommended customization settings generated by the AI module.
[0137] Output: Recommended customization settings are displayed on the customization screen.
[0138] Specific operation: The server sends the generated recommended settings to the device, and the new recommended customization items are displayed on the customization screen.
[0139] Step 7:
[0140] The user completes the customization settings and clicks the "Save" and "Book a Test Drive" buttons.
[0141] Input: User's final customization settings and test drive booking request.
[0142] Output: Test drive reservation information is sent to the server.
[0143] Specific operation: Once the user has completed customization, the device will display a final confirmation screen, and when the user presses the "Save" and "Book a test drive" buttons, the information will be sent to the server.
[0144] Step 8:
[0145] The server stores the final customization details and test drive reservation information in a database and transmits the test drive reservation information to the dealer.
[0146] Input: User's final customizations and test drive reservation information.
[0147] Output: Test drive booking information sent to dealer.
[0148] Specific operation: The server stores the final customization details and test drive reservation information in a database, and sends the test drive reservation information to the dealer via email or other communication means.
[0149] Step 9:
[0150] The server sends a confirmation of the test drive reservation to the user.
[0151] Input: Test drive booking details.
[0152] Output: Acknowledgement to the user.
[0153] Specific operation: The server confirms that the test drive reservation has been completed and sends a confirmation email to the user informing them of the reservation details.
[0154] (Application example 1)
[0155] 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."
[0156] Conventional vehicle customization systems have the drawback of making it difficult for users to customize the interior and exterior of a vehicle in a physical store, resulting in the time and effort required to make a test drive reservation. Furthermore, they are unable to provide real-time recommendations based on the user's customization history and preferences, resulting in a user experience that does not reflect current trends. Furthermore, it is difficult to promptly and accurately confirm test drive reservations.
[0157] 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.
[0158] In this invention, the server includes: a means for providing a customization screen that operates on a terminal, allowing the user to customize the interior and exterior of a vehicle; a means for saving the customization content selected by the user through the customization screen in real time; a means including a generative AI model that analyzes the saved customization content and presents the next recommended customization; a means for accepting test drive reservations for customized vehicles; a means for sending test drive reservation information to a store staff member and preparing the test drive vehicle; and a means for sending the user's customization content to the server and sending a test drive reservation confirmation email based on the content. This allows users to easily customize vehicles at a store and make test drive reservations on the spot. Furthermore, the user experience is improved by being able to quickly confirm recommended customizations and test drive reservations based on the user's past customization history.
[0159] "User" refers to an end user who uses the system to customize a vehicle or book a test drive.
[0160] "Interior" refers to the decoration and design of the inside of a vehicle, specifically the material and color of the seats, the design of the dashboard, etc.
[0161] "Exterior" refers to the exterior design and color of the vehicle, specifically the body color, wheel design, type of paint, etc.
[0162] "Terminal" refers to an electronic device such as a smartphone, tablet, or PC that allows a user to operate a customization screen.
[0163] "Customization Screen" means a screen that provides an interface for a user to select and edit the interior and exterior of a vehicle.
[0164] "Real-time" means that user operations and selections are processed and displayed as results immediately.
[0165] "Saving" refers to recording the customization details selected by the user on a server or database.
[0166] A "generative AI model" is an artificial intelligence algorithm that analyzes the user's customizations and provides the next recommended customization in real time.
[0167] A "test drive reservation" refers to a user making a reservation to actually test drive a vehicle that reflects the customization details.
[0168] A "physical store" is a physical store where users can actually visit and see vehicles and take them for test drives.
[0169] A "person in charge" is a staff member who interacts with users at a physical store and is responsible for preparing test drive vehicles and confirming reservations.
[0170] A "server" is a computer system that stores and processes user customization details, test drive reservation information, etc., and links with other systems.
[0171] "User experience" refers to the overall satisfaction and ease of operation that a user feels when using this system.
[0172] "Recommended customization" refers to the next customization option that the system will suggest based on saved customizations and the user's past history.
[0173] To realize this application example, a system including the following elements is constructed.
[0174] System Configuration
[0175] 1. User Device
[0176] This is an electronic device such as a smartphone, tablet, or PC. The user uses this device to operate the vehicle customization screen.
[0177] 2. Customization screen
[0178] This screen provides an interface for users to select and edit the interior and exterior of the vehicle.
[0179] You can intuitively select and change interior colors and materials, exterior paint, wheel designs, etc.
[0180] 3. Server
[0181] It is responsible for saving user selections in real time and analyzing the data using generative AI models.
[0182] The user's past customization history is retrieved from the stored database, and the next recommended customization is presented.
[0183] 4. Generative AI Models
[0184] It is an artificial intelligence algorithm that analyzes the customization choices you make and presents the next recommended customization options.
[0185] 5. Test drive reservation system
[0186] Once customization is complete, the server accepts a test drive reservation from the user and sends the information to the person in charge at the physical store.
[0187] The store staff will prepare the test drive vehicle based on the information received.
[0188] The server will send a confirmation email to the user confirming the test drive reservation.
[0189] Hardware and software used
[0190] Hardware: Servers require powerful processors and large amounts of storage.
[0191] Software: Python and Flask are used to build the backend, and SQLite is used for database management. The SMTP server can be anything, such as the Gmail SMTP server.
[0192] Data processing and calculation
[0193] Saving user customization information: Data entered on the customization screen is sent to the server in real time and saved in a database on the server.
[0194] Analysis by generative AI model: The stored data is analyzed by a generative AI model to generate the next recommended customization option.
[0195] Test drive reservation management: When a user makes a test drive reservation, the information is stored on the server and sent to the store staff as appropriate.
[0196] Send confirmation email: A confirmation email for the test drive reservation will be automatically sent to the user's email address.
[0197] Specific examples
[0198] For example, if a user selects leather seats for the interior and red paint for the exterior on the customization screen, the selections are sent to the server in real time. The server stores the data and uses a generative AI model to recommend options for a "sporty exterior." If the user then schedules a test drive, the information is sent to a physical store via the server, and the test drive vehicle is prepared. A reservation confirmation email is then automatically sent to the user.
[0199] Prompt Sentence Examples
[0200] User ID 12345 is looking for the following vehicle customizations: Interior: Leather seats, Exterior: Red paint. Please suggest the following customization options:
[0201] The above is a specific description of the "Mode for Carrying Out the Invention."
[0202] The flow of the specific processing in the application example 1 will be described with reference to FIG.
[0203] Step 1:
[0204] The user operates the customization screen on the device.
[0205] Input: User customization choices (e.g. interior color, exterior design)
[0206] Data processing / calculation: The customization details selected by the user on the screen are sent from the terminal to the server in real time.
[0207] Output: Customizations sent to the server
[0208] Step 2:
[0209] The server saves the user's selection.
[0210] Input: Customization sent from the device
[0211] Data processing / calculation: Record customization details in the database.
[0212] Output: Saved customization data
[0213] Step 3:
[0214] The server inputs the saved customization data into the generative AI model.
[0215] Input: Saved customization data
[0216] Data processing / calculation: The generative AI model analyzes the customization data and creates the next recommended customization option.
[0217] Output: Generated recommended customization options
[0218] Step 4:
[0219] The server transmits the generated recommended customization options to the terminal and displays them on the customization screen.
[0220] Input: Generated recommended customization options
[0221] Data processing / calculation: Formatting the data to display recommended customization options in real time on the customization screen.
[0222] Output: Recommended customization options displayed on the customization screen
[0223] Step 5:
[0224] The user completes customization and books a test drive.
[0225] Input: User's customization details and desired test drive date and time
[0226] Data processing / calculation: When the user presses the "Book a test drive" and "Save" buttons on the customization screen, the information is sent to the server.
[0227] Output: Test drive reservation information sent to the server
[0228] Step 6:
[0229] The server sends the test drive reservation information to the person in charge at the physical store.
[0230] Input: Test drive reservation information
[0231] Data processing / calculation: Test drive reservation information is converted into a format that is easy for store staff to understand.
[0232] Output: Test drive reservation information sent to the store staff
[0233] Step 7:
[0234] The server will send a test drive reservation confirmation email to the user.
[0235] Input: Test drive reservation information, user email address
[0236] Data processing / calculation: Generate the contents of the reservation confirmation email and send it using the SMTP server.
[0237] Output: Test drive booking confirmation email sent to the user
[0238] 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.
[0239] System Overview
[0240] This invention is a system that allows users to customize the interior and exterior of a vehicle according to their preferences and then book a test drive based on the customized content. The system incorporates an emotion engine that recognizes the user's emotions and adjusts the recommended customizations based on those emotions. The user customizes the vehicle on their device, and the selections are saved in real time on a server, where they are analyzed and processed by an AI module and the emotion engine.
[0241] System processing flow
[0242] Start customization and get user information
[0243] When a user accesses a dedicated website or application and opens the customization screen, the server retrieves the user's basic information and past customization history from the database and displays recommended settings on the customization screen.
[0244] Emotion recognition and analysis
[0245] The emotion engine analyzes the user's facial expressions and voice to recognize their emotions in real time. The acquired emotion data is sent to the server and stored along with the selections.
[0246] Customization Progression
[0247] The user selects interior, exterior, and other settings on the customization screen. The device displays a real-time preview of the user's selections and transmits them to the server in real time. The server stores the selections and emotion data in a database and activates an AI module for comprehensive analysis. Based on the analysis results, the next recommended customization settings are generated and transmitted to the device.
[0248] Test drive booking and preparation
[0249] When customization is complete, the user clicks the "Save" and "Book a test drive" buttons. The server saves the final customization details and test drive reservation information in the database and instructs the dealer to prepare for the test drive. In addition, a test drive reservation confirmation email is sent to the user.
[0250] Specific examples
[0251] For example, when a user changes the color or material of their seats, the emotion engine recognizes their excitement and satisfaction from their facial expressions and voice. If the user selects leather seats and smiles while doing so, the emotion engine determines that the user is satisfied with their choice. This information is sent to the server, and the AI module generates and displays the next recommendation (for example, the interior lighting color that matches the leather seats).
[0252] After customization is complete, the user can make a test drive reservation, and the server will instruct the dealer to prepare the test drive vehicle. At the same time, a test drive reservation confirmation email will be sent to the user, and the user can visit the dealer at the specified date and time to test drive the customized car.
[0253] This system allows users to easily customize their car to their liking and receive optimal setting recommendations based on emotion recognition, resulting in a more satisfying experience, while also making it easier for manufacturers and dealers to meet diverse needs.
[0254] The processing flow will be explained below.
[0255] Step 1:
[0256] The user accesses a dedicated website or application and opens the customization screen.
[0257] Step 2:
[0258] The server retrieves the user's basic information and past customization history from the database.
[0259] Step 3:
[0260] Based on the information obtained by the server, recommended settings are displayed on the customization screen.
[0261] Step 4:
[0262] The user selects interior, exterior and other settings on the customization screen.
[0263] Step 5:
[0264] The emotion engine analyzes the user's facial expressions and voice in real time to recognize their emotions.
[0265] Step 6:
[0266] The device displays a real-time preview of the user's selections.
[0267] Step 7:
[0268] The device transmits the selection and emotion data to the server in real time.
[0269] Step 8:
[0270] The server stores the selections and emotion data in a database.
[0271] Step 9:
[0272] The server activates an AI module that comprehensively analyzes the selections and emotional data.
[0273] Step 10:
[0274] Based on the analysis results, the server generates the next recommended customization settings and sends them to the device.
[0275] Step 11:
[0276] Once the user has completed all customizations, they click the "Save" and "Book a Test Drive" buttons.
[0277] Step 12:
[0278] The terminal sends the final customization details and test drive reservation information to the server.
[0279] Step 13:
[0280] The server stores the final customization details and test drive reservation information in a database.
[0281] Step 14:
[0282] The server sends the test drive reservation information to the dealer.
[0283] Step 15:
[0284] The server sends a confirmation email to the user confirming the test drive reservation.
[0285] Step 16:
[0286] The dealer prepares a vehicle with the specified customization based on the test drive reservation information from the server.
[0287] Example 2
[0288] 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."
[0289] Conventional vehicle customization systems select customizations without considering the user's emotional state, which does not necessarily result in high user satisfaction. Furthermore, recommended settings based on customization content are rarely provided automatically, leaving a need for an improved user experience. Furthermore, the test drive reservation process is not automated and is time-consuming. This invention aims to solve these problems.
[0290] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.
[0291] In this invention, the server includes: means for providing a customization screen that operates on a terminal to allow a user to customize the interior and exterior of a vehicle; means for saving in real time the customization content selected by the user through the customization screen; means including a generative AI model that analyzes the saved customization content and acquired user emotion data and presents the next recommended customization; means for accepting test drive reservations for vehicles whose customization has been completed; and means for transmitting test drive reservation information to an agency and preparing the test drive vehicle. This makes it possible to provide optimal customization settings based on the user's emotions and significantly reduce the effort required for test drive reservations.
[0292] A "terminal" is a device such as a computer or smartphone operated by a user, which serves to provide a customized screen.
[0293] "Customization Screen" means an interface provided to a user for customizing the interior and exterior of a vehicle, allowing the user to visually confirm their selections.
[0294] "Customization details" refers to the interior and exterior settings of the vehicle selected by the user, including specifications such as color, material, and shape.
[0295] A "server" is a central computer system that receives, processes, stores, and performs any necessary actions on data sent by users.
[0296] "Emotion data" is data that indicates the emotional state of the user analyzed from facial expressions, voice, etc., and is used to measure the user's level of satisfaction and excitement.
[0297] A "generative AI model" is an algorithm that automatically generates the next recommended customization settings based on saved customization content and emotional data.
[0298] "Agency" refers to a company such as a vehicle sales company or dealer that prepares test drive vehicles and handles customer service.
[0299] "Test drive reservation" is the process by which a user specifies the desired date, time, and location for a test drive of a customized vehicle and makes a reservation.
[0300] "Test drive reservation information" is data indicating detailed information entered by the user, such as the desired date and time of the test drive, location, and customization details.
[0301] A "confirmation email" is an email sent from the server to a user who has made a test drive reservation, and is intended to confirm and notify the user of the reservation information.
[0302] This invention provides a system that allows users to customize the interior and exterior of a vehicle, analyzes and saves the customization details in real time, and presents recommended customizations for the next step. It also provides a mechanism for accepting reservations for test drives of the customized vehicle.
[0303] System Overview
[0304] The system includes the following major hardware and software:
[0305] 1. Terminal - Provide a customizable screen on the device the user operates (PC, tablet, smartphone, etc.).
[0306] 2. Server - A central computer system that receives, stores, and processes data.
[0307] 3. Emotion Engine - A software module that analyzes the user's facial expressions and voice and generates emotional data.
[0308] 4. Generative AI model - An algorithm that analyzes the customization content and acquired emotional data to generate the next recommended customization settings.
[0309] Start customization and get information
[0310] The user accesses a dedicated website or application from their device and opens the customization screen. The server retrieves the user's basic information and past customization history from the database and sends it to the device. The device then displays recommended settings on the customization screen based on the received information.
[0311] Emotion Recognition and Data Analysis
[0312] The device uses the user's camera and microphone to collect facial expression and voice data, which is then sent to the emotion engine in real time. The emotion engine then analyzes the data and recognizes the user's emotional state. The recognized emotion data is then sent to the server and stored.
[0313] Customization Progression
[0314] Each time a user selects an interior or exterior setting on the customization screen, the device displays a real-time preview of the selection and sends it to the server. The server then stores the selection and emotion data in a database and sends it to the generative AI model for comprehensive analysis. Based on the analysis results, the next recommended customization settings are generated and sent to the device.
[0315] Test drive booking and preparation
[0316] After completing the customization, the user clicks the "Save" and "Book a test drive" buttons. The server saves the final customization details and test drive reservation information in the database and instructs the agency to prepare the test drive vehicle. In addition, a test drive reservation confirmation email is sent to the user. The user can visit the agency at the specified date and time to test drive the customized car.
[0317] Specific examples
[0318] For example, when a user changes the color or material of their seats, the emotion engine recognizes their excitement and satisfaction from their facial expressions and voice. If the user selects leather seats and smiles while doing so, the emotion engine determines that the user is satisfied with their choice. This information is sent to the server, and the generative AI model generates and displays the next recommended customization (for example, interior lighting colors that match the leather seats).
[0319] After customization is complete, the user can make a test drive reservation, and the server will instruct the agency to prepare the test drive vehicle. At the same time, a test drive reservation confirmation email will be sent to the user, and they can visit the agency at the specified date and time to actually test drive the customized car. This system allows users to easily customize their car to their liking and receive optimal setting recommendations based on emotion recognition, resulting in a more satisfying experience. It also makes it easier for manufacturers and agencies to respond to diverse needs.
[0320] Prompt Sentence Examples
[0321] Example 1: "A user is selecting a seat color on the customization screen. The emotion engine analyzes the user's facial expression, captures their emotional response to that selection, and triggers a generative AI model that generates the next recommendation."
[0322] Example 2: "Please explain the process for collecting user sentiment data when selecting leather seats and displaying the next recommended customization (lighting color) setting."
[0323] The flow of the identification process in the second embodiment will be described with reference to FIG.
[0324] Step 1:
[0325] User opens the customization screen
[0326] The user accesses a dedicated website or application and opens the customization screen. The input is the user's access request, and the output is the display of the customization screen. The terminal provides an interface in response to the user's operations. Specifically, the terminal launches the browser or application and displays the initial screen of the customization screen to the user.
[0327] Step 2:
[0328] Obtaining user information
[0329] The server retrieves the user's basic information and past customization history from a database. The input is the user ID and past search history, and the output is the retrieved data. Based on this data, the server generates recommended customization settings and sends that data to the device. Specifically, it extracts the necessary information from the database using SQL queries, and sends a data set including the recommended settings to the device.
[0330] Step 3:
[0331] Viewing recommended settings
[0332] The device receives the recommended setting data sent from the server and displays it on the customization screen. The input is the recommended setting data sent from the server, and the output is the recommended settings displayed on the customization screen. Specifically, the device updates the user interface and visually presents the recommended settings to the user.
[0333] Step 4:
[0334] Collecting Emotional Data
[0335] As the user customizes the device, it uses the built-in camera and microphone to collect the user's facial expression and voice data. The input is the user's facial expression and voice, and the output is the collected raw data. Specifically, it triggers the camera and microphone to turn on and sends the data to the emotion engine in real time.
[0336] Step 5:
[0337] Emotional Data Analysis
[0338] The emotion engine analyzes collected facial expressions and voice data to recognize the user's emotional state. The input is the collected raw data, and the output is data indicating the user's emotional state. Specifically, it uses machine learning algorithms to analyze facial expressions and recognize voice, generate emotion data, and send it to the server.
[0339] Step 6:
[0340] Customization Progression
[0341] The user selects interior, exterior, and other settings on the customization screen. The device displays a real-time preview of the user's selections and sends them to the server. The input is the user's selection, and the output is the preview and data sent to the server. Specifically, the device updates the visual elements of the selected items and sends the selected data to the server in JSON format or similar.
[0342] Step 7:
[0343] Data storage and analysis
[0344] The server stores the user's selections and emotional data in a database. It then sends the stored data to a generative AI model for comprehensive analysis. The inputs are the user's selections and emotional data, and the output is the analysis results, which are recommended customization settings. Specifically, the server records the data in a database, passes the input data to the AI model, and receives the analysis results.
[0345] Step 8:
[0346] Update and view recommendations
[0347] The server sends the recommended customization setting data obtained from the generative AI model to the device. The device displays the sent recommended customization settings on the screen. The input is the recommended data from the generative AI model, and the output is updated information displayed on the customization screen. Specifically, the user interface is updated again, and new recommended settings are provided to the user.
[0348] Step 9:
[0349] Test drive reservation
[0350] After completing the customization, the user clicks the "Save" and "Book a Test Drive" buttons. The input is the user's reservation operation, and the output is sending the reservation information to the server. Specifically, the selected customization details and the desired test drive date and time are sent to the server.
[0351] Step 10:
[0352] Data storage and preparation instructions
[0353] The server saves the final customization details and test drive reservation information in a database. It also instructs the agency to prepare the test drive vehicle. The inputs are the user's selections and reservation information, and the output is preparation instructions to the agency. Specifically, it records the data in the database and sends the necessary information to the agency.
[0354] Step 11:
[0355] Sending a confirmation email
[0356] The server sends a test drive reservation confirmation email to the user. The input is the reservation information, and the output is a confirmation email. Specifically, the server generates an email based on the reservation information and sends it to the user's email address. The user can then visit the agency at the specified date and time to test drive the customized car.
[0357] (Application example 2)
[0358] 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."
[0359] Conventional vehicle customization systems struggled to provide specific recommendations based on user sentiment, resulting in a lack of customization suggestions to improve user satisfaction. Furthermore, there were no systems that offered real-time customization experiences in physical stores, meaning users could not check the vehicle customization details in real time. Furthermore, the test drive reservation process was cumbersome, resulting in low user convenience.
[0360] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes: means for providing a customization screen operating on a terminal for a user to customize the interior and exterior of a vehicle; means for saving customization contents selected by the user through the customization screen in real time; means including an AI module that analyzes the saved customization contents and presents the next recommended customization; means including an emotion recognition engine that recognizes emotions from the user's facial expressions and voice and adjusts the recommended customization based on the emotions; means for customizing a vehicle at a physical store through smart glasses and previewing the customization contents in real time; means for accepting test drive reservations for the customized vehicle; and means for transmitting test drive reservation information to a dealer and preparing the test drive vehicle. This enables the user to receive optimal customization suggestions based on their emotions in real time, thereby improving the user's experience and satisfaction. Furthermore, a real-time customization experience at a physical store using smart glasses makes it easier for the user to check the customization results on the spot. Furthermore, test drive reservations become more convenient, improving the overall user experience.
[0361] The "customization screen" is a screen that provides an interface for users to freely select and configure the interior and exterior of their vehicle.
[0362] The "means for saving in real time" is a function that instantly records the customization content selected by the user on the server and stores it as data.
[0363] The "AI module" is an analysis function that uses artificial intelligence to generate and present the next recommended customization based on the saved customization content.
[0364] The "emotion recognition engine" is a function that analyzes the user's facial expressions and voice and determines the user's emotional state based on the results.
[0365] "Smart glasses" are information display devices used in brick-and-mortar stores that allow users to visually check customization details in real time.
[0366] The "means for displaying a preview" is a function for visually displaying and confirming the contents of the interior and exterior customized by the user in real time.
[0367] The "means for accepting test drive reservations" is a function for making test drive reservations based on the customization details selected by the user.
[0368] The "means for preparing a test drive vehicle" is a function that instructs the dealer to prepare the vehicle when a test drive reservation is confirmed.
[0369] System Overview
[0370] This invention provides a system that allows users to customize the interior and exterior of a vehicle according to their preferences and book a test drive based on the customized content. The system includes an emotion recognition engine that recognizes the user's emotions and adjusts the recommended customizations based on those emotions. Furthermore, the customized content can be viewed and experienced in real time using smart glasses in a physical store.
[0371] Hardware and software used
[0372] 1. Hardware:
[0373] Server: Used to store and analyze customizations, run AI modules and emotion recognition engines, and manage test drive reservations.
[0374] Device: The device (e.g., smartphone, tablet, PC) through which the user accesses the customization screen and performs customization.
[0375] Smart glasses: A device that allows users to visually check customization details in real time in physical stores.
[0376] 2. Software:
[0377] Customization Screen: A web or mobile application that provides the user interface and allows users to configure the interior and exterior of their vehicle.
[0378] AI module: Analyzes saved customizations and generates the next recommended customization.
[0379] Emotion recognition engine: Analyzes the user's facial expressions and voice and recognizes their emotions based on that.
[0380] Preview display function: Display customization results in real time through smart glasses.
[0381] System Features
[0382] 1. Start customization and get user information:
[0383] The user accesses a dedicated website or application using the terminal and opens the customization screen.
[0384] The server retrieves the user's basic information and past customization history from the database and displays recommended settings on the customization screen.
[0385] 2. Emotion recognition and analysis:
[0386] The emotion recognition engine analyzes the user's facial expressions and voice and recognizes the user's emotions in real time.
[0387] The acquired emotion data is sent to the server and stored along with the selection.
[0388] 3. Customization Progression:
[0389] The user selects interior, exterior and other settings on the customization screen.
[0390] The terminal displays a preview of the user's selection in real time and transmits the preview to the server in real time.
[0391] The server stores the selections and emotional data in a database and activates an AI module for comprehensive analysis.
[0392] Based on the analysis results, the following recommended customization settings are generated and sent to the device:
[0393] 4. Test drive booking and preparation:
[0394] When customization is complete, the user clicks the "Save" and "Book a Test Drive" buttons.
[0395] The server stores the final customization details and test drive reservation information in a database and instructs the dealer to prepare for the test drive.
[0396] A confirmation email for the test drive reservation will be sent to the user.
[0397] Specific examples
[0398] For example, when a user customizes a vehicle, the following process is carried out.
[0399] When a user changes the seat color or material, the emotion recognition engine recognizes excitement and satisfaction from the user's facial expressions and voice. If the user selects leather seats and smiles while doing so, the emotion recognition engine determines that the user is satisfied with their choice. This information is sent to the server, and the AI module generates the next recommendation (for example, the interior lighting color that matches the leather seats) and presents it to the user.
[0400] When the user wears the smart glasses at a physical store, the selected customization details are displayed on the smart glasses in real time, allowing the user to preview the vehicle on the spot. After customization is complete, the user can make a test drive reservation, and the server instructs the dealer to prepare the test drive vehicle. A test drive reservation confirmation email is sent to the user, and they can visit the dealer at the specified date and time to test drive the customized car.
[0401] Prompt Sentence Examples
[0402] "User ID: 12345, Customizations: Leather seats, red, interior lighting: blue"
[0403] "Please send test drive reservation information to the dealer. User ID: 12345, Test drive date: 2023-10-01"
[0404] This system allows users to easily customize their car to their liking and receive optimal setting recommendations based on emotion recognition, resulting in a more satisfying experience. It also makes it easier for manufacturers and dealers to meet diverse customer needs.
[0405] The flow of the specific processing in the application example 2 will be described with reference to FIG.
[0406] Step 1:
[0407] A user accesses a dedicated website or application using a device and opens the customization screen. The device requests the user's basic information and past customization history from the server. The server then retrieves information from the database and displays recommended settings on the customization screen. The input is the user's account information, and the output is the past customization history and recommended settings.
[0408] Step 2:
[0409] The emotion recognition engine analyzes real-time video and audio data sent from the device to recognize the user's emotions. The server receives the video and audio data as input, analyzes it with the emotion recognition engine, and outputs the user's emotional data. This emotional data is used for subsequent customization suggestions.
[0410] Step 3:
[0411] Each time the user selects an interior or exterior setting on the customization screen, the device transmits the selection to the server in real time. The input is the user's customization selection, and the output is the customization data stored on the server. The device also generates data for previewing the selection in real time and visually displays it to the user.
[0412] Step 4:
[0413] The server stores the user's selections and emotion data in a database and launches an AI module for comprehensive analysis. The AI module receives the customization data and emotion data as input and outputs the next recommended customization settings based on them. This generates the optimal customization proposal for the user and sends it to the device.
[0414] Step 5:
[0415] When a user wears the smart glasses in a physical store, the terminal displays the selected customization content on the smart glasses in real time. The input is the user's customization selection, and the output is a preview image displayed on the smart glasses. The user can check the customization results in real time and make changes as needed.
[0416] Step 6:
[0417] When customization is complete, the user clicks the "Save" and "Book a test drive" buttons. The device sends this operation to the server, which then stores the final customization details and test drive reservation information in a database. The input is the user's final customization details and test drive reservation information, and the output is the data stored in the database and a reservation instruction sent to the dealer.
[0418] Step 7:
[0419] The server sends the test drive reservation information to the dealer and prepares the test drive vehicle. In addition, a confirmation email of the test drive reservation is sent to the user. The input is the test drive reservation information, and the output is preparation instructions for the dealer and a confirmation email to the user. This allows the user to visit the dealer on the specified date and time and actually test drive the customized car.
[0420] 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.
[0421] 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.
[0422] 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.
[0423] [Second embodiment]
[0424] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.
[0425] 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.
[0426] 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).
[0427] 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.
[0428] 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.
[0429] 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).
[0430] 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.
[0431] 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.
[0432] 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.
[0433] 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.
[0434] 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.
[0435] 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."
[0436] This invention is a system that allows users to customize the interior and exterior of a vehicle according to their preferences and then book a test drive based on the customized content. This system implements a series of processes in which the user operates the customization screen through a terminal, and the server saves and analyzes the selections in real time.
[0437] System processing flow
[0438] Start customization and get user information
[0439] The user starts customization on the device using a dedicated website or application. When the user accesses the website, the server retrieves the user's basic information and past customization history from the database and displays recommended settings on the customization screen.
[0440] Customization progress and saving
[0441] When a user selects various settings on the customization screen, the selections are sent from the device to the server in real time. The server stores the selections in a database and activates an AI module to analyze the user's selections. Based on the analysis results, the next recommended customization settings are displayed on the customization screen in real time.
[0442] Customization screen
[0443] The customization screen is a user interface that is easy for users to operate. Users can intuitively select interior colors and materials, seat arrangements, wheel designs, exterior paint, etc. Selections are instantly reflected on the screen, allowing users to visually confirm their selections.
[0444] Test drive booking and preparation
[0445] When the customization is complete, the user clicks the "Save" and "Book a test drive" buttons. The server receives the final customization details and test drive reservation information and saves them in the database. At the same time, it instructs the dealer to prepare for the test drive and sends a confirmation email to the user.
[0446] Specific examples
[0447] For example, if a user changes the interior seats to leather, categorizes the wheels as a sporty type, and changes the exterior color to red, the selections are sent in real time from the device to the server. The server stores the data, and the AI module presents a sporty exterior design as the next recommendation. Once the user has completed all customizations, an option to book a test drive appears, and the user can make a reservation. This information is sent to the dealer via the server, and a test drive will be conducted in the prepared vehicle at the specified date and time.
[0448] This system allows users to easily customize their vehicle to their liking and experience their choice through test drives, while also making it easier for manufacturers and dealers to provide services that meet a variety of needs.
[0449] The processing flow will be explained below.
[0450] Step 1:
[0451] The user accesses a dedicated website or application and opens the customization screen.
[0452] Step 2:
[0453] The server retrieves the user's basic information and past customization history from the database.
[0454] Step 3:
[0455] Based on the information obtained by the server, recommended settings are displayed on the customization screen.
[0456] Step 4:
[0457] The user selects interior, exterior and other settings on the customization screen.
[0458] Step 5:
[0459] The device displays a real-time preview of the user's selections.
[0460] Step 6:
[0461] The device transmits the selection to the server in real time.
[0462] Step 7:
[0463] The server saves the selection in a database.
[0464] Step 8:
[0465] The server launches an AI module to analyze the saved selections.
[0466] Step 9:
[0467] Based on the analysis results, the server generates the next recommended customization settings and sends them to the device.
[0468] Step 10:
[0469] Once the user has completed all customizations, they click the "Save" and "Book a Test Drive" buttons.
[0470] Step 11:
[0471] The terminal sends the final customization details and test drive reservation information to the server.
[0472] Step 12:
[0473] The server stores the final customization details and test drive reservation information in a database.
[0474] Step 13:
[0475] The server sends the test drive reservation information to the dealer.
[0476] Step 14:
[0477] The server sends a confirmation email to the user confirming the test drive reservation.
[0478] Step 15:
[0479] The dealer prepares a vehicle with the specified customization based on the test drive reservation information from the server.
[0480] Example 1
[0481] 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."
[0482] Conventional vehicle customization systems lacked the functionality to reflect user customizations in real time and to analyze the selections and present the next recommended settings. As a result, users often were unable to make satisfactory choices during the customization process. Another issue was the complicated test drive reservation process, which required a lot of time and effort.
[0483] 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.
[0484] In this invention, the server includes: means for providing a customization screen that operates on a terminal, allowing a user to customize the interior and exterior of a vehicle; means for saving customization details selected by the user through the customization screen in real time; means including an AI module that analyzes the saved customization details and presents the next recommended customization; means for accepting test drive reservations for the customized vehicle; means for transmitting test drive reservation information to a dealer and preparing the test drive vehicle; and means for displaying recommended customization settings in real time based on the user's selections. This allows users to intuitively and efficiently customize their vehicle and make optimal choices while checking the results in real time. The test drive reservation process is also simplified, improving the user experience.
[0485] "User" refers to a person who uses the system to customize the interior and exterior of a vehicle and schedule a test drive.
[0486] "Customization screen" refers to an interface that allows users to intuitively select and change the interior and exterior of their vehicle.
[0487] "Terminal" refers to a device that displays a customization screen and accepts user input.
[0488] "Server" refers to a computer system that stores user customizations and basic information and processes them in real time.
[0489] "Means for saving in real time" refers to a function that instantly records changes made by the user on the customization screen.
[0490] "AI module" refers to artificial intelligence that analyzes the user's customizations and generates the next recommended settings.
[0491] "Recommended customization" refers to the customization settings that the AI module suggests to the user that are considered optimal.
[0492] "Means for accepting test drive reservations" refers to a function for making test drive reservations based on the customization details of the vehicle selected by the user.
[0493] "Dealer" refers to a company that provides test drive vehicles to users.
[0494] A "confirmation notice" refers to a message sent to a user once a test drive reservation has been completed, informing the user of the details of the reservation.
[0495] "Past customization history" refers to a record of customizations previously performed by a user.
[0496] "Database" refers to a system that centrally manages and stores data such as user information and customization history.
[0497] The "means for displaying recommended customization settings" refers to a function that presents customization options suitable for the user on the customization screen based on the results of the analysis by the server.
[0498] The present invention is a system that allows a user to customize the interior and exterior of a vehicle and then book a test drive based on the customized content. This system is implemented through the following processing flow.
[0499] The user starts customization on the device using a dedicated website or application. The server retrieves the user's basic information and past customization history from the database and displays recommended settings on the customization screen.
[0500] The user selects various settings on the customization screen, such as interior color and material, seat arrangement, wheel design, and exterior paint. The device transmits these selections in real time to the server, which stores them in a database. The server then activates an AI module to analyze the user's selections and displays the next recommended customization settings on the customization screen in real time.
[0501] For example, suppose a user changes the interior seats to leather, the wheels to a sports type, and the exterior color to red. In this case, the device immediately reflects these selections on the screen and sends them to the server. The server stores the received data in a database, and an AI module analyzes the user's selections and presents a sporty exterior design as the next recommended item. Once the user has completed all customization settings, an option to book a test drive is displayed, so the user can make a reservation. This information is then sent to the dealer via the server, and a test drive is conducted in the prepared vehicle at the specified date and time.
[0502] The system allows users to easily and intuitively customize their vehicle according to their preferences. Furthermore, by utilizing an AI module to analyze user selections and provide real-time recommendations for the next setup, the system enables an efficient and satisfying customization experience. The test drive booking process is also simple and quick, further improving the user experience.
[0503] An example prompt would be:
[0504] "Write a program that describes a system that allows users to customize the interior and exterior of a vehicle. Schedule a test drive based on the customizations you've made, and describe in detail the flow the user follows through the customization screens. Include real-time storage and analysis of the user's selections, and subsequent recommendations."
[0505] This allows users to easily customize their ideal vehicle and experience their selection through a test drive, and also makes it easier for manufacturers and dealers to provide services that meet a variety of needs.
[0506] The flow of the identification process in the first embodiment will be described with reference to FIG.
[0507] Specific explanation of processing steps
[0508] Step 1:
[0509] A user accesses a dedicated website or application and sees a customized start screen.
[0510] Input: User initiated customization.
[0511] Output: The customization start screen will be displayed on the device.
[0512] Specific operation: When a user clicks the "Start customization" button on a website or in an app, the device sends a request to the server, which generates and displays the customization screen.
[0513] Step 2:
[0514] The server retrieves the user's basic information and past customization history from the database.
[0515] Input: User ID or login information.
[0516] Output: Obtain the user's basic information and past customization history, and display recommended settings on the customization screen.
[0517] Specific operation: The server searches the database based on the user's ID, retrieves past customization history and basic information, and uses that information to display initial recommended settings on the customization screen.
[0518] Step 3:
[0519] Users can select interior color and materials, seat arrangement, wheel design, exterior paint, and more on the customization screen.
[0520] Input: Setting changes made by the user on the customization screen.
[0521] Output: The changed settings are displayed on the terminal.
[0522] Specific operation: When the user selects an item, the device reflects the changes on the screen in real time and sends the selection to the server.
[0523] Step 4:
[0524] The device transmits the user's selections to the server in real time.
[0525] Input: Data for customization settings changes.
[0526] Output: The selections are sent to the server and stored.
[0527] Specific operation: The terminal immediately transmits the user's selections to the server, which stores the data in a database.
[0528] Step 5:
[0529] The server analyzes the saved selections and uses an AI module to generate the next recommended customization settings.
[0530] Input: The user's current customization selections.
[0531] Output: Recommended customization settings generated by the AI module.
[0532] What it does: The server launches an AI module to analyze the user's selections and generate the next set of recommended customizations based on the results.
[0533] Step 6:
[0534] The server displays the generated recommended customization settings on a customization screen through the terminal.
[0535] Input: Recommended customization settings generated by the AI module.
[0536] Output: Recommended customization settings are displayed on the customization screen.
[0537] Specific operation: The server sends the generated recommended settings to the device, and the new recommended customization items are displayed on the customization screen.
[0538] Step 7:
[0539] The user completes the customization settings and clicks the "Save" and "Book a Test Drive" buttons.
[0540] Input: User's final customization settings and test drive booking request.
[0541] Output: Test drive reservation information is sent to the server.
[0542] Specific operation: Once the user has completed customization, the device will display a final confirmation screen, and when the user presses the "Save" and "Book a test drive" buttons, the information will be sent to the server.
[0543] Step 8:
[0544] The server stores the final customization details and test drive reservation information in a database and transmits the test drive reservation information to the dealer.
[0545] Input: User's final customizations and test drive reservation information.
[0546] Output: Test drive booking information sent to dealer.
[0547] Specific operation: The server stores the final customization details and test drive reservation information in a database, and sends the test drive reservation information to the dealer via email or other communication means.
[0548] Step 9:
[0549] The server sends a confirmation of the test drive reservation to the user.
[0550] Input: Test drive booking details.
[0551] Output: Acknowledgement to the user.
[0552] Specific operation: The server confirms that the test drive reservation has been completed and sends a confirmation email to the user informing them of the reservation details.
[0553] (Application example 1)
[0554] 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."
[0555] Conventional vehicle customization systems have the drawback of making it difficult for users to customize the interior and exterior of a vehicle in a physical store, resulting in the time and effort required to make a test drive reservation. Furthermore, they are unable to provide real-time recommendations based on the user's customization history and preferences, resulting in a user experience that does not reflect current trends. Furthermore, it is difficult to promptly and accurately confirm test drive reservations.
[0556] 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.
[0557] In this invention, the server includes: a means for providing a customization screen that operates on a terminal, allowing the user to customize the interior and exterior of a vehicle; a means for saving the customization content selected by the user through the customization screen in real time; a means including a generative AI model that analyzes the saved customization content and presents the next recommended customization; a means for accepting test drive reservations for customized vehicles; a means for sending test drive reservation information to a store staff member and preparing the test drive vehicle; and a means for sending the user's customization content to the server and sending a test drive reservation confirmation email based on the content. This allows users to easily customize vehicles at a store and make test drive reservations on the spot. Furthermore, the user experience is improved by being able to quickly confirm recommended customizations and test drive reservations based on the user's past customization history.
[0558] "User" refers to an end user who uses the system to customize a vehicle or book a test drive.
[0559] "Interior" refers to the decoration and design of the inside of a vehicle, specifically the material and color of the seats, the design of the dashboard, etc.
[0560] "Exterior" refers to the exterior design and color of the vehicle, specifically the body color, wheel design, type of paint, etc.
[0561] "Terminal" refers to an electronic device such as a smartphone, tablet, or PC that allows a user to operate a customization screen.
[0562] "Customization Screen" means a screen that provides an interface for a user to select and edit the interior and exterior of a vehicle.
[0563] "Real-time" means that user operations and selections are processed and displayed as results immediately.
[0564] "Saving" refers to recording the customization details selected by the user on a server or database.
[0565] A "generative AI model" is an artificial intelligence algorithm that analyzes the user's customizations and provides the next recommended customization in real time.
[0566] A "test drive reservation" refers to a user making a reservation to actually test drive a vehicle that reflects the customization details.
[0567] A "physical store" is a physical store where users can actually visit and see vehicles and take them for test drives.
[0568] A "person in charge" is a staff member who interacts with users at a physical store and is responsible for preparing test drive vehicles and confirming reservations.
[0569] A "server" is a computer system that stores and processes user customization details, test drive reservation information, etc., and links with other systems.
[0570] "User experience" refers to the overall satisfaction and ease of operation that a user feels when using this system.
[0571] "Recommended customization" refers to the next customization option that the system will suggest based on saved customizations and the user's past history.
[0572] To realize this application example, a system including the following elements is constructed.
[0573] System Configuration
[0574] 1. User Device
[0575] This is an electronic device such as a smartphone, tablet, or PC. The user uses this device to operate the vehicle customization screen.
[0576] 2. Customization screen
[0577] This screen provides an interface for users to select and edit the interior and exterior of the vehicle.
[0578] You can intuitively select and change interior colors and materials, exterior paint, wheel designs, etc.
[0579] 3. Server
[0580] It is responsible for saving user selections in real time and analyzing the data using generative AI models.
[0581] The user's past customization history is retrieved from the stored database, and the next recommended customization is presented.
[0582] 4. Generative AI Models
[0583] It is an artificial intelligence algorithm that analyzes the customization choices you make and presents the next recommended customization options.
[0584] 5. Test drive reservation system
[0585] Once customization is complete, the server accepts a test drive reservation from the user and sends the information to the person in charge at the physical store.
[0586] The store staff will prepare the test drive vehicle based on the information received.
[0587] The server will send a confirmation email to the user confirming the test drive reservation.
[0588] Hardware and software used
[0589] Hardware: Servers require powerful processors and large amounts of storage.
[0590] Software: Python and Flask are used to build the backend, and SQLite is used for database management. The SMTP server can be anything, such as the Gmail SMTP server.
[0591] Data processing and calculation
[0592] Saving user customization information: Data entered on the customization screen is sent to the server in real time and saved in a database on the server.
[0593] Analysis by generative AI model: The stored data is analyzed by a generative AI model to generate the next recommended customization option.
[0594] Test drive reservation management: When a user makes a test drive reservation, the information is stored on the server and sent to the store staff as appropriate.
[0595] Send confirmation email: A confirmation email for the test drive reservation will be automatically sent to the user's email address.
[0596] Specific examples
[0597] For example, if a user selects leather seats for the interior and red paint for the exterior on the customization screen, the selections are sent to the server in real time. The server stores the data and uses a generative AI model to recommend options for a "sporty exterior." If the user then schedules a test drive, the information is sent to a physical store via the server, and the test drive vehicle is prepared. A reservation confirmation email is then automatically sent to the user.
[0598] Prompt Sentence Examples
[0599] User ID 12345 is looking for the following vehicle customizations: Interior: Leather seats, Exterior: Red paint. Please suggest the following customization options:
[0600] The above is a specific description of the "Mode for Carrying Out the Invention."
[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 operates the customization screen on the device.
[0604] Input: User customization choices (e.g. interior color, exterior design)
[0605] Data processing / calculation: The customization details selected by the user on the screen are sent from the terminal to the server in real time.
[0606] Output: Customizations sent to the server
[0607] Step 2:
[0608] The server saves the user's selection.
[0609] Input: Customization sent from the device
[0610] Data processing / calculation: Record customization details in the database.
[0611] Output: Saved customization data
[0612] Step 3:
[0613] The server inputs the saved customization data into the generative AI model.
[0614] Input: Saved customization data
[0615] Data processing / calculation: The generative AI model analyzes the customization data and creates the next recommended customization option.
[0616] Output: Generated recommended customization options
[0617] Step 4:
[0618] The server transmits the generated recommended customization options to the terminal and displays them on the customization screen.
[0619] Input: Generated recommended customization options
[0620] Data processing / calculation: Formatting the data to display recommended customization options in real time on the customization screen.
[0621] Output: Recommended customization options displayed on the customization screen
[0622] Step 5:
[0623] The user completes customization and books a test drive.
[0624] Input: User's customization details and desired test drive date and time
[0625] Data processing / calculation: When the user presses the "Book a test drive" and "Save" buttons on the customization screen, the information is sent to the server.
[0626] Output: Test drive reservation information sent to the server
[0627] Step 6:
[0628] The server sends the test drive reservation information to the person in charge at the physical store.
[0629] Input: Test drive reservation information
[0630] Data processing / calculation: Test drive reservation information is converted into a format that is easy for store staff to understand.
[0631] Output: Test drive reservation information sent to the store staff
[0632] Step 7:
[0633] The server will send a test drive reservation confirmation email to the user.
[0634] Input: Test drive reservation information, user email address
[0635] Data processing / calculation: Generate the contents of the reservation confirmation email and send it using the SMTP server.
[0636] Output: Test drive booking confirmation email sent to the user
[0637] 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.
[0638] System Overview
[0639] This invention is a system that allows users to customize the interior and exterior of a vehicle according to their preferences and then book a test drive based on the customized content. The system incorporates an emotion engine that recognizes the user's emotions and adjusts the recommended customizations based on those emotions. The user customizes the vehicle on their device, and the selections are saved in real time on a server, where they are analyzed and processed by an AI module and the emotion engine.
[0640] System processing flow
[0641] Start customization and get user information
[0642] When a user accesses a dedicated website or application and opens the customization screen, the server retrieves the user's basic information and past customization history from the database and displays recommended settings on the customization screen.
[0643] Emotion recognition and analysis
[0644] The emotion engine analyzes the user's facial expressions and voice to recognize their emotions in real time. The acquired emotion data is sent to the server and stored along with the selections.
[0645] Customization Progression
[0646] The user selects interior, exterior, and other settings on the customization screen. The device displays a real-time preview of the user's selections and transmits them to the server in real time. The server stores the selections and emotion data in a database and activates an AI module for comprehensive analysis. Based on the analysis results, the next recommended customization settings are generated and transmitted to the device.
[0647] Test drive booking and preparation
[0648] When customization is complete, the user clicks the "Save" and "Book a test drive" buttons. The server saves the final customization details and test drive reservation information in the database and instructs the dealer to prepare for the test drive. In addition, a test drive reservation confirmation email is sent to the user.
[0649] Specific examples
[0650] For example, when a user changes the color or material of their seats, the emotion engine recognizes their excitement and satisfaction from their facial expressions and voice. If the user selects leather seats and smiles while doing so, the emotion engine determines that the user is satisfied with their choice. This information is sent to the server, and the AI module generates and displays the next recommendation (for example, the interior lighting color that matches the leather seats).
[0651] After customization is complete, the user can make a test drive reservation, and the server will instruct the dealer to prepare the test drive vehicle. At the same time, a test drive reservation confirmation email will be sent to the user, and the user can visit the dealer at the specified date and time to test drive the customized car.
[0652] This system allows users to easily customize their car to their liking and receive optimal setting recommendations based on emotion recognition, resulting in a more satisfying experience, while also making it easier for manufacturers and dealers to meet diverse needs.
[0653] The processing flow will be explained below.
[0654] Step 1:
[0655] The user accesses a dedicated website or application and opens the customization screen.
[0656] Step 2:
[0657] The server retrieves the user's basic information and past customization history from the database.
[0658] Step 3:
[0659] Based on the information obtained by the server, recommended settings are displayed on the customization screen.
[0660] Step 4:
[0661] The user selects interior, exterior and other settings on the customization screen.
[0662] Step 5:
[0663] The emotion engine analyzes the user's facial expressions and voice in real time to recognize their emotions.
[0664] Step 6:
[0665] The device displays a real-time preview of the user's selections.
[0666] Step 7:
[0667] The device transmits the selection and emotion data to the server in real time.
[0668] Step 8:
[0669] The server stores the selections and emotion data in a database.
[0670] Step 9:
[0671] The server activates an AI module that comprehensively analyzes the selections and emotional data.
[0672] Step 10:
[0673] Based on the analysis results, the server generates the next recommended customization settings and sends them to the device.
[0674] Step 11:
[0675] Once the user has completed all customizations, they click the "Save" and "Book a Test Drive" buttons.
[0676] Step 12:
[0677] The terminal sends the final customization details and test drive reservation information to the server.
[0678] Step 13:
[0679] The server stores the final customization details and test drive reservation information in a database.
[0680] Step 14:
[0681] The server sends the test drive reservation information to the dealer.
[0682] Step 15:
[0683] The server sends a confirmation email to the user confirming the test drive reservation.
[0684] Step 16:
[0685] The dealer prepares a vehicle with the specified customization based on the test drive reservation information from the server.
[0686] Example 2
[0687] 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."
[0688] Conventional vehicle customization systems select customizations without considering the user's emotional state, which does not necessarily result in high user satisfaction. Furthermore, recommended settings based on customization content are rarely provided automatically, leaving a need for an improved user experience. Furthermore, the test drive reservation process is not automated and is time-consuming. This invention aims to solve these problems.
[0689] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.
[0690] In this invention, the server includes: means for providing a customization screen that operates on a terminal to allow a user to customize the interior and exterior of a vehicle; means for saving in real time the customization content selected by the user through the customization screen; means including a generative AI model that analyzes the saved customization content and acquired user emotion data and presents the next recommended customization; means for accepting test drive reservations for vehicles whose customization has been completed; and means for transmitting test drive reservation information to an agency and preparing the test drive vehicle. This makes it possible to provide optimal customization settings based on the user's emotions and significantly reduce the effort required for test drive reservations.
[0691] A "terminal" is a device such as a computer or smartphone operated by a user, which serves to provide a customized screen.
[0692] "Customization Screen" means an interface provided to a user for customizing the interior and exterior of a vehicle, allowing the user to visually confirm their selections.
[0693] "Customization details" refers to the interior and exterior settings of the vehicle selected by the user, including specifications such as color, material, and shape.
[0694] A "server" is a central computer system that receives, processes, stores, and performs any necessary actions on data sent by users.
[0695] "Emotion data" is data that indicates the emotional state of the user analyzed from facial expressions, voice, etc., and is used to measure the user's level of satisfaction and excitement.
[0696] A "generative AI model" is an algorithm that automatically generates the next recommended customization settings based on saved customization content and emotional data.
[0697] "Agency" refers to a company such as a vehicle sales company or dealer that prepares test drive vehicles and handles customer service.
[0698] "Test drive reservation" is the process by which a user specifies the desired date, time, and location for a test drive of a customized vehicle and makes a reservation.
[0699] "Test drive reservation information" is data indicating detailed information entered by the user, such as the desired date and time of the test drive, location, and customization details.
[0700] A "confirmation email" is an email sent from the server to a user who has made a test drive reservation, and is intended to confirm and notify the user of the reservation information.
[0701] This invention provides a system that allows users to customize the interior and exterior of a vehicle, analyzes and saves the customization details in real time, and presents recommended customizations for the next step. It also provides a mechanism for accepting reservations for test drives of the customized vehicle.
[0702] System Overview
[0703] The system includes the following major hardware and software:
[0704] 1. Terminal - Provide a customizable screen on the device the user operates (PC, tablet, smartphone, etc.).
[0705] 2. Server - A central computer system that receives, stores, and processes data.
[0706] 3. Emotion Engine - A software module that analyzes the user's facial expressions and voice and generates emotional data.
[0707] 4. Generative AI model - An algorithm that analyzes the customization content and acquired emotional data to generate the next recommended customization settings.
[0708] Start customization and get information
[0709] The user accesses a dedicated website or application from their device and opens the customization screen. The server retrieves the user's basic information and past customization history from the database and sends it to the device. The device then displays recommended settings on the customization screen based on the received information.
[0710] Emotion Recognition and Data Analysis
[0711] The device uses the user's camera and microphone to collect facial expression and voice data, which is then sent to the emotion engine in real time. The emotion engine then analyzes the data and recognizes the user's emotional state. The recognized emotion data is then sent to the server and stored.
[0712] Customization Progression
[0713] Each time a user selects an interior or exterior setting on the customization screen, the device displays a real-time preview of the selection and sends it to the server. The server then stores the selection and emotion data in a database and sends it to the generative AI model for comprehensive analysis. Based on the analysis results, the next recommended customization settings are generated and sent to the device.
[0714] Test drive booking and preparation
[0715] After completing the customization, the user clicks the "Save" and "Book a test drive" buttons. The server saves the final customization details and test drive reservation information in the database and instructs the agency to prepare the test drive vehicle. In addition, a test drive reservation confirmation email is sent to the user. The user can visit the agency at the specified date and time to test drive the customized car.
[0716] Specific examples
[0717] For example, when a user changes the color or material of their seats, the emotion engine recognizes their excitement and satisfaction from their facial expressions and voice. If the user selects leather seats and smiles while doing so, the emotion engine determines that the user is satisfied with their choice. This information is sent to the server, and the generative AI model generates and displays the next recommended customization (for example, interior lighting colors that match the leather seats).
[0718] After customization is complete, the user can make a test drive reservation, and the server will instruct the agency to prepare the test drive vehicle. At the same time, a test drive reservation confirmation email will be sent to the user, and they can visit the agency at the specified date and time to actually test drive the customized car. This system allows users to easily customize their car to their liking and receive optimal setting recommendations based on emotion recognition, resulting in a more satisfying experience. It also makes it easier for manufacturers and agencies to respond to diverse needs.
[0719] Prompt Sentence Examples
[0720] Example 1: "A user is selecting a seat color on the customization screen. The emotion engine analyzes the user's facial expression, captures their emotional response to that selection, and triggers a generative AI model that generates the next recommendation."
[0721] Example 2: "Please explain the process for collecting user sentiment data when selecting leather seats and displaying the next recommended customization (lighting color) setting."
[0722] The flow of the identification process in the second embodiment will be described with reference to FIG.
[0723] Step 1:
[0724] User opens the customization screen
[0725] The user accesses a dedicated website or application and opens the customization screen. The input is the user's access request, and the output is the display of the customization screen. The terminal provides an interface in response to the user's operations. Specifically, the terminal launches the browser or application and displays the initial screen of the customization screen to the user.
[0726] Step 2:
[0727] Obtaining user information
[0728] The server retrieves the user's basic information and past customization history from a database. The input is the user ID and past search history, and the output is the retrieved data. Based on this data, the server generates recommended customization settings and sends that data to the device. Specifically, it extracts the necessary information from the database using SQL queries, and sends a data set including the recommended settings to the device.
[0729] Step 3:
[0730] Viewing recommended settings
[0731] The device receives the recommended setting data sent from the server and displays it on the customization screen. The input is the recommended setting data sent from the server, and the output is the recommended settings displayed on the customization screen. Specifically, the device updates the user interface and visually presents the recommended settings to the user.
[0732] Step 4:
[0733] Collecting Emotional Data
[0734] As the user customizes the device, it uses the built-in camera and microphone to collect the user's facial expression and voice data. The input is the user's facial expression and voice, and the output is the collected raw data. Specifically, it triggers the camera and microphone to turn on and sends the data to the emotion engine in real time.
[0735] Step 5:
[0736] Emotional Data Analysis
[0737] The emotion engine analyzes collected facial expressions and voice data to recognize the user's emotional state. The input is the collected raw data, and the output is data indicating the user's emotional state. Specifically, it uses machine learning algorithms to analyze facial expressions and recognize voice, generate emotion data, and send it to the server.
[0738] Step 6:
[0739] Customization Progression
[0740] The user selects interior, exterior, and other settings on the customization screen. The device displays a real-time preview of the user's selections and sends them to the server. The input is the user's selection, and the output is the preview and data sent to the server. Specifically, the device updates the visual elements of the selected items and sends the selected data to the server in JSON format or similar.
[0741] Step 7:
[0742] Data storage and analysis
[0743] The server stores the user's selections and emotional data in a database. It then sends the stored data to a generative AI model for comprehensive analysis. The inputs are the user's selections and emotional data, and the output is the analysis results, which are recommended customization settings. Specifically, the server records the data in a database, passes the input data to the AI model, and receives the analysis results.
[0744] Step 8:
[0745] Update and view recommendations
[0746] The server sends the recommended customization setting data obtained from the generative AI model to the device. The device displays the sent recommended customization settings on the screen. The input is the recommended data from the generative AI model, and the output is updated information displayed on the customization screen. Specifically, the user interface is updated again, and new recommended settings are provided to the user.
[0747] Step 9:
[0748] Test drive reservation
[0749] After completing the customization, the user clicks the "Save" and "Book a Test Drive" buttons. The input is the user's reservation operation, and the output is sending the reservation information to the server. Specifically, the selected customization details and the desired test drive date and time are sent to the server.
[0750] Step 10:
[0751] Data storage and preparation instructions
[0752] The server saves the final customization details and test drive reservation information in a database. It also instructs the agency to prepare the test drive vehicle. The inputs are the user's selections and reservation information, and the output is preparation instructions to the agency. Specifically, it records the data in the database and sends the necessary information to the agency.
[0753] Step 11:
[0754] Sending a confirmation email
[0755] The server sends a test drive reservation confirmation email to the user. The input is the reservation information, and the output is a confirmation email. Specifically, the server generates an email based on the reservation information and sends it to the user's email address. The user can then visit the agency at the specified date and time to test drive the customized car.
[0756] (Application example 2)
[0757] 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."
[0758] Conventional vehicle customization systems struggled to provide specific recommendations based on user sentiment, resulting in a lack of customization suggestions to improve user satisfaction. Furthermore, there were no systems that offered real-time customization experiences in physical stores, meaning users could not check the vehicle customization details in real time. Furthermore, the test drive reservation process was cumbersome, resulting in low user convenience.
[0759] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes: means for providing a customization screen operating on a terminal for a user to customize the interior and exterior of a vehicle; means for saving customization contents selected by the user through the customization screen in real time; means including an AI module that analyzes the saved customization contents and presents the next recommended customization; means including an emotion recognition engine that recognizes emotions from the user's facial expressions and voice and adjusts the recommended customization based on the emotions; means for customizing a vehicle at a physical store through smart glasses and previewing the customization contents in real time; means for accepting test drive reservations for the customized vehicle; and means for transmitting test drive reservation information to a dealer and preparing the test drive vehicle. This enables the user to receive optimal customization suggestions based on their emotions in real time, thereby improving the user's experience and satisfaction. Furthermore, a real-time customization experience at a physical store using smart glasses makes it easier for the user to check the customization results on the spot. Furthermore, test drive reservations become more convenient, improving the overall user experience.
[0760] The "customization screen" is a screen that provides an interface for users to freely select and configure the interior and exterior of their vehicle.
[0761] The "means for saving in real time" is a function that instantly records the customization content selected by the user on the server and stores it as data.
[0762] The "AI module" is an analysis function that uses artificial intelligence to generate and present the next recommended customization based on the saved customization content.
[0763] The "emotion recognition engine" is a function that analyzes the user's facial expressions and voice and determines the user's emotional state based on the results.
[0764] "Smart glasses" are information display devices used in brick-and-mortar stores that allow users to visually check customization details in real time.
[0765] The "means for displaying a preview" is a function for visually displaying and confirming the contents of the interior and exterior customized by the user in real time.
[0766] The "means for accepting test drive reservations" is a function for making test drive reservations based on the customization details selected by the user.
[0767] The "means for preparing a test drive vehicle" is a function that instructs the dealer to prepare the vehicle when a test drive reservation is confirmed.
[0768] System Overview
[0769] This invention provides a system that allows users to customize the interior and exterior of a vehicle according to their preferences and book a test drive based on the customized content. The system includes an emotion recognition engine that recognizes the user's emotions and adjusts the recommended customizations based on those emotions. Furthermore, the customized content can be viewed and experienced in real time using smart glasses in a physical store.
[0770] Hardware and software used
[0771] 1. Hardware:
[0772] Server: Used to store and analyze customizations, run AI modules and emotion recognition engines, and manage test drive reservations.
[0773] Device: The device (e.g., smartphone, tablet, PC) through which the user accesses the customization screen and performs customization.
[0774] Smart glasses: A device that allows users to visually check customization details in real time in physical stores.
[0775] 2. Software:
[0776] Customization Screen: A web or mobile application that provides the user interface and allows users to configure the interior and exterior of their vehicle.
[0777] AI module: Analyzes saved customizations and generates the next recommended customization.
[0778] Emotion recognition engine: Analyzes the user's facial expressions and voice and recognizes their emotions based on that.
[0779] Preview display function: Display customization results in real time through smart glasses.
[0780] System Features
[0781] 1. Start customization and get user information:
[0782] The user accesses a dedicated website or application using the terminal and opens the customization screen.
[0783] The server retrieves the user's basic information and past customization history from the database and displays recommended settings on the customization screen.
[0784] 2. Emotion recognition and analysis:
[0785] The emotion recognition engine analyzes the user's facial expressions and voice and recognizes the user's emotions in real time.
[0786] The acquired emotion data is sent to the server and stored along with the selection.
[0787] 3. Customization Progression:
[0788] The user selects interior, exterior and other settings on the customization screen.
[0789] The terminal displays a preview of the user's selection in real time and transmits the preview to the server in real time.
[0790] The server stores the selections and emotional data in a database and activates an AI module for comprehensive analysis.
[0791] Based on the analysis results, the following recommended customization settings are generated and sent to the device:
[0792] 4. Test drive booking and preparation:
[0793] When customization is complete, the user clicks the "Save" and "Book a Test Drive" buttons.
[0794] The server stores the final customization details and test drive reservation information in a database and instructs the dealer to prepare for the test drive.
[0795] A confirmation email for the test drive reservation will be sent to the user.
[0796] Specific examples
[0797] For example, when a user customizes a vehicle, the following process is carried out.
[0798] When a user changes the seat color or material, the emotion recognition engine recognizes excitement and satisfaction from the user's facial expressions and voice. If the user selects leather seats and smiles while doing so, the emotion recognition engine determines that the user is satisfied with their choice. This information is sent to the server, and the AI module generates the next recommendation (for example, the interior lighting color that matches the leather seats) and presents it to the user.
[0799] When the user wears the smart glasses at a physical store, the selected customization details are displayed on the smart glasses in real time, allowing the user to preview the vehicle on the spot. After customization is complete, the user can make a test drive reservation, and the server instructs the dealer to prepare the test drive vehicle. A test drive reservation confirmation email is sent to the user, and they can visit the dealer at the specified date and time to test drive the customized car.
[0800] Prompt Sentence Examples
[0801] "User ID: 12345, Customizations: Leather seats, red, interior lighting: blue"
[0802] "Please send test drive reservation information to the dealer. User ID: 12345, Test drive date: 2023-10-01"
[0803] This system allows users to easily customize their car to their liking and receive optimal setting recommendations based on emotion recognition, resulting in a more satisfying experience. It also makes it easier for manufacturers and dealers to meet diverse customer needs.
[0804] The flow of the specific processing in the application example 2 will be described with reference to FIG.
[0805] Step 1:
[0806] A user accesses a dedicated website or application using a device and opens the customization screen. The device requests the user's basic information and past customization history from the server. The server then retrieves information from the database and displays recommended settings on the customization screen. The input is the user's account information, and the output is the past customization history and recommended settings.
[0807] Step 2:
[0808] The emotion recognition engine analyzes real-time video and audio data sent from the device to recognize the user's emotions. The server receives the video and audio data as input, analyzes it with the emotion recognition engine, and outputs the user's emotional data. This emotional data is used for subsequent customization suggestions.
[0809] Step 3:
[0810] Each time the user selects an interior or exterior setting on the customization screen, the device transmits the selection to the server in real time. The input is the user's customization selection, and the output is the customization data stored on the server. The device also generates data for previewing the selection in real time and visually displays it to the user.
[0811] Step 4:
[0812] The server stores the user's selections and emotion data in a database and launches an AI module for comprehensive analysis. The AI module receives the customization data and emotion data as input and outputs the next recommended customization settings based on them. This generates the optimal customization proposal for the user and sends it to the device.
[0813] Step 5:
[0814] When a user wears the smart glasses in a physical store, the terminal displays the selected customization content on the smart glasses in real time. The input is the user's customization selection, and the output is a preview image displayed on the smart glasses. The user can check the customization results in real time and make changes as needed.
[0815] Step 6:
[0816] When customization is complete, the user clicks the "Save" and "Book a test drive" buttons. The device sends this operation to the server, which then stores the final customization details and test drive reservation information in a database. The input is the user's final customization details and test drive reservation information, and the output is the data stored in the database and a reservation instruction sent to the dealer.
[0817] Step 7:
[0818] The server sends the test drive reservation information to the dealer and prepares the test drive vehicle. In addition, a confirmation email of the test drive reservation is sent to the user. The input is the test drive reservation information, and the output is preparation instructions for the dealer and a confirmation email to the user. This allows the user to visit the dealer on the specified date and time and actually test drive the customized car.
[0819] 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.
[0820] 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.
[0821] 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.
[0822] [Third embodiment]
[0823] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.
[0824] 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.
[0825] 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).
[0826] 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.
[0827] 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.
[0828] 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).
[0829] 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.
[0830] 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.
[0831] 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.
[0832] 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.
[0833] 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.
[0834] 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."
[0835] This invention is a system that allows users to customize the interior and exterior of a vehicle according to their preferences and then book a test drive based on the customized content. This system implements a series of processes in which the user operates the customization screen through a terminal, and the server saves and analyzes the selections in real time.
[0836] System processing flow
[0837] Start customization and get user information
[0838] The user starts customization on the device using a dedicated website or application. When the user accesses the website, the server retrieves the user's basic information and past customization history from the database and displays recommended settings on the customization screen.
[0839] Customization progress and saving
[0840] When a user selects various settings on the customization screen, the selections are sent from the device to the server in real time. The server stores the selections in a database and activates an AI module to analyze the user's selections. Based on the analysis results, the next recommended customization settings are displayed on the customization screen in real time.
[0841] Customization screen
[0842] The customization screen is a user interface that is easy for users to operate. Users can intuitively select interior colors and materials, seat arrangements, wheel designs, exterior paint, etc. Selections are instantly reflected on the screen, allowing users to visually confirm their selections.
[0843] Test drive booking and preparation
[0844] When the customization is complete, the user clicks the "Save" and "Book a test drive" buttons. The server receives the final customization details and test drive reservation information and saves them in the database. At the same time, it instructs the dealer to prepare for the test drive and sends a confirmation email to the user.
[0845] Specific examples
[0846] For example, if a user changes the interior seats to leather, categorizes the wheels as a sporty type, and changes the exterior color to red, the selections are sent in real time from the device to the server. The server stores the data, and the AI module presents a sporty exterior design as the next recommendation. Once the user has completed all customizations, an option to book a test drive appears, and the user can make a reservation. This information is sent to the dealer via the server, and a test drive will be conducted in the prepared vehicle at the specified date and time.
[0847] This system allows users to easily customize their vehicle to their liking and experience their choice through test drives, while also making it easier for manufacturers and dealers to provide services that meet a variety of needs.
[0848] The processing flow will be explained below.
[0849] Step 1:
[0850] The user accesses a dedicated website or application and opens the customization screen.
[0851] Step 2:
[0852] The server retrieves the user's basic information and past customization history from the database.
[0853] Step 3:
[0854] Based on the information obtained by the server, recommended settings are displayed on the customization screen.
[0855] Step 4:
[0856] The user selects interior, exterior and other settings on the customization screen.
[0857] Step 5:
[0858] The device displays a real-time preview of the user's selections.
[0859] Step 6:
[0860] The device transmits the selection to the server in real time.
[0861] Step 7:
[0862] The server saves the selection in a database.
[0863] Step 8:
[0864] The server launches an AI module to analyze the saved selections.
[0865] Step 9:
[0866] Based on the analysis results, the server generates the next recommended customization settings and sends them to the device.
[0867] Step 10:
[0868] Once the user has completed all customizations, they click the "Save" and "Book a Test Drive" buttons.
[0869] Step 11:
[0870] The terminal sends the final customization details and test drive reservation information to the server.
[0871] Step 12:
[0872] The server stores the final customization details and test drive reservation information in a database.
[0873] Step 13:
[0874] The server sends the test drive reservation information to the dealer.
[0875] Step 14:
[0876] The server sends a confirmation email to the user confirming the test drive reservation.
[0877] Step 15:
[0878] The dealer prepares a vehicle with the specified customization based on the test drive reservation information from the server.
[0879] Example 1
[0880] 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."
[0881] Conventional vehicle customization systems lacked the functionality to reflect user customizations in real time and to analyze the selections and present the next recommended settings. As a result, users often were unable to make satisfactory choices during the customization process. Another issue was the complicated test drive reservation process, which required a lot of time and effort.
[0882] 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.
[0883] In this invention, the server includes: means for providing a customization screen that operates on a terminal, allowing a user to customize the interior and exterior of a vehicle; means for saving customization details selected by the user through the customization screen in real time; means including an AI module that analyzes the saved customization details and presents the next recommended customization; means for accepting test drive reservations for the customized vehicle; means for transmitting test drive reservation information to a dealer and preparing the test drive vehicle; and means for displaying recommended customization settings in real time based on the user's selections. This allows users to intuitively and efficiently customize their vehicle and make optimal choices while checking the results in real time. The test drive reservation process is also simplified, improving the user experience.
[0884] "User" refers to a person who uses the system to customize the interior and exterior of a vehicle and schedule a test drive.
[0885] "Customization screen" refers to an interface that allows users to intuitively select and change the interior and exterior of their vehicle.
[0886] "Terminal" refers to a device that displays a customization screen and accepts user input.
[0887] "Server" refers to a computer system that stores user customizations and basic information and processes them in real time.
[0888] "Means for saving in real time" refers to a function that instantly records changes made by the user on the customization screen.
[0889] "AI module" refers to artificial intelligence that analyzes the user's customizations and generates the next recommended settings.
[0890] "Recommended customization" refers to the customization settings that the AI module suggests to the user that are considered optimal.
[0891] "Means for accepting test drive reservations" refers to a function for making test drive reservations based on the customization details of the vehicle selected by the user.
[0892] "Dealer" refers to a company that provides test drive vehicles to users.
[0893] A "confirmation notice" refers to a message sent to a user once a test drive reservation has been completed, informing the user of the details of the reservation.
[0894] "Past customization history" refers to a record of customizations previously performed by a user.
[0895] "Database" refers to a system that centrally manages and stores data such as user information and customization history.
[0896] The "means for displaying recommended customization settings" refers to a function that presents customization options suitable for the user on the customization screen based on the results of the analysis by the server.
[0897] The present invention is a system that allows a user to customize the interior and exterior of a vehicle and then book a test drive based on the customized content. This system is implemented through the following processing flow.
[0898] The user starts customization on the device using a dedicated website or application. The server retrieves the user's basic information and past customization history from the database and displays recommended settings on the customization screen.
[0899] The user selects various settings on the customization screen, such as interior color and material, seat arrangement, wheel design, and exterior paint. The device transmits these selections in real time to the server, which stores them in a database. The server then activates an AI module to analyze the user's selections and displays the next recommended customization settings on the customization screen in real time.
[0900] For example, suppose a user changes the interior seats to leather, the wheels to a sports type, and the exterior color to red. In this case, the device immediately reflects these selections on the screen and sends them to the server. The server stores the received data in a database, and an AI module analyzes the user's selections and presents a sporty exterior design as the next recommended item. Once the user has completed all customization settings, an option to book a test drive is displayed, so the user can make a reservation. This information is then sent to the dealer via the server, and a test drive is conducted in the prepared vehicle at the specified date and time.
[0901] The system allows users to easily and intuitively customize their vehicle according to their preferences. Furthermore, by utilizing an AI module to analyze user selections and provide real-time recommendations for the next setup, the system enables an efficient and satisfying customization experience. The test drive booking process is also simple and quick, further improving the user experience.
[0902] An example prompt would be:
[0903] "Write a program that describes a system that allows users to customize the interior and exterior of a vehicle. Schedule a test drive based on the customizations you've made, and describe in detail the flow the user follows through the customization screens. Include real-time storage and analysis of the user's selections, and subsequent recommendations."
[0904] This allows users to easily customize their ideal vehicle and experience their selection through a test drive, and also makes it easier for manufacturers and dealers to provide services that meet a variety of needs.
[0905] The flow of the identification process in the first embodiment will be described with reference to FIG.
[0906] Specific explanation of processing steps
[0907] Step 1:
[0908] A user accesses a dedicated website or application and sees a customized start screen.
[0909] Input: User initiated customization.
[0910] Output: The customization start screen will be displayed on the device.
[0911] Specific operation: When a user clicks the "Start customization" button on a website or in an app, the device sends a request to the server, which generates and displays the customization screen.
[0912] Step 2:
[0913] The server retrieves the user's basic information and past customization history from the database.
[0914] Input: User ID or login information.
[0915] Output: Obtain the user's basic information and past customization history, and display recommended settings on the customization screen.
[0916] Specific operation: The server searches the database based on the user's ID, retrieves past customization history and basic information, and uses that information to display initial recommended settings on the customization screen.
[0917] Step 3:
[0918] Users can select interior color and materials, seat arrangement, wheel design, exterior paint, and more on the customization screen.
[0919] Input: Setting changes made by the user on the customization screen.
[0920] Output: The changed settings are displayed on the terminal.
[0921] Specific operation: When the user selects an item, the device reflects the changes on the screen in real time and sends the selection to the server.
[0922] Step 4:
[0923] The device transmits the user's selections to the server in real time.
[0924] Input: Data for customization settings changes.
[0925] Output: The selections are sent to the server and stored.
[0926] Specific operation: The terminal immediately transmits the user's selections to the server, which stores the data in a database.
[0927] Step 5:
[0928] The server analyzes the saved selections and uses an AI module to generate the next recommended customization settings.
[0929] Input: The user's current customization selections.
[0930] Output: Recommended customization settings generated by the AI module.
[0931] What it does: The server launches an AI module to analyze the user's selections and generate the next set of recommended customizations based on the results.
[0932] Step 6:
[0933] The server displays the generated recommended customization settings on a customization screen through the terminal.
[0934] Input: Recommended customization settings generated by the AI module.
[0935] Output: Recommended customization settings are displayed on the customization screen.
[0936] Specific operation: The server sends the generated recommended settings to the device, and the new recommended customization items are displayed on the customization screen.
[0937] Step 7:
[0938] The user completes the customization settings and clicks the "Save" and "Book a Test Drive" buttons.
[0939] Input: User's final customization settings and test drive booking request.
[0940] Output: Test drive reservation information is sent to the server.
[0941] Specific operation: Once the user has completed customization, the device will display a final confirmation screen, and when the user presses the "Save" and "Book a test drive" buttons, the information will be sent to the server.
[0942] Step 8:
[0943] The server stores the final customization details and test drive reservation information in a database and transmits the test drive reservation information to the dealer.
[0944] Input: User's final customizations and test drive reservation information.
[0945] Output: Test drive booking information sent to dealer.
[0946] Specific operation: The server stores the final customization details and test drive reservation information in a database, and sends the test drive reservation information to the dealer via email or other communication means.
[0947] Step 9:
[0948] The server sends a confirmation of the test drive reservation to the user.
[0949] Input: Test drive booking details.
[0950] Output: Acknowledgement to the user.
[0951] Specific operation: The server confirms that the test drive reservation has been completed and sends a confirmation email to the user informing them of the reservation details.
[0952] (Application example 1)
[0953] 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."
[0954] Conventional vehicle customization systems have the drawback of making it difficult for users to customize the interior and exterior of a vehicle in a physical store, resulting in the time and effort required to make a test drive reservation. Furthermore, they are unable to provide real-time recommendations based on the user's customization history and preferences, resulting in a user experience that does not reflect current trends. Furthermore, it is difficult to promptly and accurately confirm test drive reservations.
[0955] 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.
[0956] In this invention, the server includes: a means for providing a customization screen that operates on a terminal, allowing the user to customize the interior and exterior of a vehicle; a means for saving the customization content selected by the user through the customization screen in real time; a means including a generative AI model that analyzes the saved customization content and presents the next recommended customization; a means for accepting test drive reservations for customized vehicles; a means for sending test drive reservation information to a store staff member and preparing the test drive vehicle; and a means for sending the user's customization content to the server and sending a test drive reservation confirmation email based on the content. This allows users to easily customize vehicles at a store and make test drive reservations on the spot. Furthermore, the user experience is improved by being able to quickly confirm recommended customizations and test drive reservations based on the user's past customization history.
[0957] "User" refers to an end user who uses the system to customize a vehicle or book a test drive.
[0958] "Interior" refers to the decoration and design of the inside of a vehicle, specifically the material and color of the seats, the design of the dashboard, etc.
[0959] "Exterior" refers to the exterior design and color of the vehicle, specifically the body color, wheel design, type of paint, etc.
[0960] "Terminal" refers to an electronic device such as a smartphone, tablet, or PC that allows a user to operate a customization screen.
[0961] "Customization Screen" means a screen that provides an interface for a user to select and edit the interior and exterior of a vehicle.
[0962] "Real-time" means that user operations and selections are processed and displayed as results immediately.
[0963] "Saving" refers to recording the customization details selected by the user on a server or database.
[0964] A "generative AI model" is an artificial intelligence algorithm that analyzes the user's customizations and provides the next recommended customization in real time.
[0965] A "test drive reservation" refers to a user making a reservation to actually test drive a vehicle that reflects the customization details.
[0966] A "physical store" is a physical store where users can actually visit and see vehicles and take them for test drives.
[0967] A "person in charge" is a staff member who interacts with users at a physical store and is responsible for preparing test drive vehicles and confirming reservations.
[0968] A "server" is a computer system that stores and processes user customization details, test drive reservation information, etc., and links with other systems.
[0969] "User experience" refers to the overall satisfaction and ease of operation that a user feels when using this system.
[0970] "Recommended customization" refers to the next customization option that the system will suggest based on saved customizations and the user's past history.
[0971] To realize this application example, a system including the following elements is constructed.
[0972] System Configuration
[0973] 1. User Device
[0974] This is an electronic device such as a smartphone, tablet, or PC. The user uses this device to operate the vehicle customization screen.
[0975] 2. Customization screen
[0976] This screen provides an interface for users to select and edit the interior and exterior of the vehicle.
[0977] You can intuitively select and change interior colors and materials, exterior paint, wheel designs, etc.
[0978] 3. Server
[0979] It is responsible for saving user selections in real time and analyzing the data using generative AI models.
[0980] The user's past customization history is retrieved from the stored database, and the next recommended customization is presented.
[0981] 4. Generative AI Models
[0982] It is an artificial intelligence algorithm that analyzes the customization choices you make and presents the next recommended customization options.
[0983] 5. Test drive reservation system
[0984] Once customization is complete, the server accepts a test drive reservation from the user and sends the information to the person in charge at the physical store.
[0985] The store staff will prepare the test drive vehicle based on the information received.
[0986] The server will send a confirmation email to the user confirming the test drive reservation.
[0987] Hardware and software used
[0988] Hardware: Servers require powerful processors and large amounts of storage.
[0989] Software: Python and Flask are used to build the backend, and SQLite is used for database management. The SMTP server can be anything, such as the Gmail SMTP server.
[0990] Data processing and calculation
[0991] Saving user customization information: Data entered on the customization screen is sent to the server in real time and saved in a database on the server.
[0992] Analysis by generative AI model: The stored data is analyzed by a generative AI model to generate the next recommended customization option.
[0993] Test drive reservation management: When a user makes a test drive reservation, the information is stored on the server and sent to the store staff as appropriate.
[0994] Send confirmation email: A confirmation email for the test drive reservation will be automatically sent to the user's email address.
[0995] Specific examples
[0996] For example, if a user selects leather seats for the interior and red paint for the exterior on the customization screen, the selections are sent to the server in real time. The server stores the data and uses a generative AI model to recommend options for a "sporty exterior." If the user then schedules a test drive, the information is sent to a physical store via the server, and the test drive vehicle is prepared. A reservation confirmation email is then automatically sent to the user.
[0997] Prompt Sentence Examples
[0998] User ID 12345 is looking for the following vehicle customizations: Interior: Leather seats, Exterior: Red paint. Please suggest the following customization options:
[0999] The above is a specific description of the "Mode for Carrying Out the Invention."
[1000] The flow of the specific processing in the application example 1 will be described with reference to FIG.
[1001] Step 1:
[1002] The user operates the customization screen on the device.
[1003] Input: User customization choices (e.g. interior color, exterior design)
[1004] Data processing / calculation: The customization details selected by the user on the screen are sent from the terminal to the server in real time.
[1005] Output: Customizations sent to the server
[1006] Step 2:
[1007] The server saves the user's selection.
[1008] Input: Customization sent from the device
[1009] Data processing / calculation: Record customization details in the database.
[1010] Output: Saved customization data
[1011] Step 3:
[1012] The server inputs the saved customization data into the generative AI model.
[1013] Input: Saved customization data
[1014] Data processing / calculation: The generative AI model analyzes the customization data and creates the next recommended customization option.
[1015] Output: Generated recommended customization options
[1016] Step 4:
[1017] The server transmits the generated recommended customization options to the terminal and displays them on the customization screen.
[1018] Input: Generated recommended customization options
[1019] Data processing / calculation: Formatting the data to display recommended customization options in real time on the customization screen.
[1020] Output: Recommended customization options displayed on the customization screen
[1021] Step 5:
[1022] The user completes customization and books a test drive.
[1023] Input: User's customization details and desired test drive date and time
[1024] Data processing / calculation: When the user presses the "Book a test drive" and "Save" buttons on the customization screen, the information is sent to the server.
[1025] Output: Test drive reservation information sent to the server
[1026] Step 6:
[1027] The server sends the test drive reservation information to the person in charge at the physical store.
[1028] Input: Test drive reservation information
[1029] Data processing / calculation: Test drive reservation information is converted into a format that is easy for store staff to understand.
[1030] Output: Test drive reservation information sent to the store staff
[1031] Step 7:
[1032] The server will send a test drive reservation confirmation email to the user.
[1033] Input: Test drive reservation information, user email address
[1034] Data processing / calculation: Generate the contents of the reservation confirmation email and send it using the SMTP server.
[1035] Output: Test drive booking confirmation email sent to the user
[1036] 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.
[1037] System Overview
[1038] This invention is a system that allows users to customize the interior and exterior of a vehicle according to their preferences and then book a test drive based on the customized content. The system incorporates an emotion engine that recognizes the user's emotions and adjusts the recommended customizations based on those emotions. The user customizes the vehicle on their device, and the selections are saved in real time on a server, where they are analyzed and processed by an AI module and the emotion engine.
[1039] System processing flow
[1040] Start customization and get user information
[1041] When a user accesses a dedicated website or application and opens the customization screen, the server retrieves the user's basic information and past customization history from the database and displays recommended settings on the customization screen.
[1042] Emotion recognition and analysis
[1043] The emotion engine analyzes the user's facial expressions and voice to recognize their emotions in real time. The acquired emotion data is sent to the server and stored along with the selections.
[1044] Customization Progression
[1045] The user selects interior, exterior, and other settings on the customization screen. The device displays a real-time preview of the user's selections and transmits them to the server in real time. The server stores the selections and emotion data in a database and activates an AI module for comprehensive analysis. Based on the analysis results, the next recommended customization settings are generated and transmitted to the device.
[1046] Test drive booking and preparation
[1047] When customization is complete, the user clicks the "Save" and "Book a test drive" buttons. The server saves the final customization details and test drive reservation information in the database and instructs the dealer to prepare for the test drive. In addition, a test drive reservation confirmation email is sent to the user.
[1048] Specific examples
[1049] For example, when a user changes the color or material of their seats, the emotion engine recognizes their excitement and satisfaction from their facial expressions and voice. If the user selects leather seats and smiles while doing so, the emotion engine determines that the user is satisfied with their choice. This information is sent to the server, and the AI module generates and displays the next recommendation (for example, the interior lighting color that matches the leather seats).
[1050] After customization is complete, the user can make a test drive reservation, and the server will instruct the dealer to prepare the test drive vehicle. At the same time, a test drive reservation confirmation email will be sent to the user, and the user can visit the dealer at the specified date and time to test drive the customized car.
[1051] This system allows users to easily customize their car to their liking and receive optimal setting recommendations based on emotion recognition, resulting in a more satisfying experience, while also making it easier for manufacturers and dealers to meet diverse needs.
[1052] The processing flow will be explained below.
[1053] Step 1:
[1054] The user accesses a dedicated website or application and opens the customization screen.
[1055] Step 2:
[1056] The server retrieves the user's basic information and past customization history from the database.
[1057] Step 3:
[1058] Based on the information obtained by the server, recommended settings are displayed on the customization screen.
[1059] Step 4:
[1060] The user selects interior, exterior and other settings on the customization screen.
[1061] Step 5:
[1062] The emotion engine analyzes the user's facial expressions and voice in real time to recognize their emotions.
[1063] Step 6:
[1064] The device displays a real-time preview of the user's selections.
[1065] Step 7:
[1066] The device transmits the selection and emotion data to the server in real time.
[1067] Step 8:
[1068] The server stores the selections and emotion data in a database.
[1069] Step 9:
[1070] The server activates an AI module that comprehensively analyzes the selections and emotional data.
[1071] Step 10:
[1072] Based on the analysis results, the server generates the next recommended customization settings and sends them to the device.
[1073] Step 11:
[1074] Once the user has completed all customizations, they click the "Save" and "Book a Test Drive" buttons.
[1075] Step 12:
[1076] The terminal sends the final customization details and test drive reservation information to the server.
[1077] Step 13:
[1078] The server stores the final customization details and test drive reservation information in a database.
[1079] Step 14:
[1080] The server sends the test drive reservation information to the dealer.
[1081] Step 15:
[1082] The server sends a confirmation email to the user confirming the test drive reservation.
[1083] Step 16:
[1084] The dealer prepares a vehicle with the specified customization based on the test drive reservation information from the server.
[1085] Example 2
[1086] 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."
[1087] Conventional vehicle customization systems select customizations without considering the user's emotional state, which does not necessarily result in high user satisfaction. Furthermore, recommended settings based on customization content are rarely provided automatically, leaving a need for an improved user experience. Furthermore, the test drive reservation process is not automated and is time-consuming. This invention aims to solve these problems.
[1088] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.
[1089] In this invention, the server includes: means for providing a customization screen that operates on a terminal to allow a user to customize the interior and exterior of a vehicle; means for saving in real time the customization content selected by the user through the customization screen; means including a generative AI model that analyzes the saved customization content and acquired user emotion data and presents the next recommended customization; means for accepting test drive reservations for vehicles whose customization has been completed; and means for transmitting test drive reservation information to an agency and preparing the test drive vehicle. This makes it possible to provide optimal customization settings based on the user's emotions and significantly reduce the effort required for test drive reservations.
[1090] A "terminal" is a device such as a computer or smartphone operated by a user, which serves to provide a customized screen.
[1091] "Customization Screen" means an interface provided to a user for customizing the interior and exterior of a vehicle, allowing the user to visually confirm their selections.
[1092] "Customization details" refers to the interior and exterior settings of the vehicle selected by the user, including specifications such as color, material, and shape.
[1093] A "server" is a central computer system that receives, processes, stores, and performs any necessary actions on data sent by users.
[1094] "Emotion data" is data that indicates the emotional state of the user analyzed from facial expressions, voice, etc., and is used to measure the user's level of satisfaction and excitement.
[1095] A "generative AI model" is an algorithm that automatically generates the next recommended customization settings based on saved customization content and emotional data.
[1096] "Agency" refers to a company such as a vehicle sales company or dealer that prepares test drive vehicles and handles customer service.
[1097] "Test drive reservation" is the process by which a user specifies the desired date, time, and location for a test drive of a customized vehicle and makes a reservation.
[1098] "Test drive reservation information" is data indicating detailed information entered by the user, such as the desired date and time of the test drive, location, and customization details.
[1099] A "confirmation email" is an email sent from the server to a user who has made a test drive reservation, and is intended to confirm and notify the user of the reservation information.
[1100] This invention provides a system that allows users to customize the interior and exterior of a vehicle, analyzes and saves the customization details in real time, and presents recommended customizations for the next step. It also provides a mechanism for accepting reservations for test drives of the customized vehicle.
[1101] System Overview
[1102] The system includes the following major hardware and software:
[1103] 1. Terminal - Provide a customizable screen on the device the user operates (PC, tablet, smartphone, etc.).
[1104] 2. Server - A central computer system that receives, stores, and processes data.
[1105] 3. Emotion Engine - A software module that analyzes the user's facial expressions and voice and generates emotional data.
[1106] 4. Generative AI model - An algorithm that analyzes the customization content and acquired emotional data to generate the next recommended customization settings.
[1107] Start customization and get information
[1108] The user accesses a dedicated website or application from their device and opens the customization screen. The server retrieves the user's basic information and past customization history from the database and sends it to the device. The device then displays recommended settings on the customization screen based on the received information.
[1109] Emotion Recognition and Data Analysis
[1110] The device uses the user's camera and microphone to collect facial expression and voice data, which is then sent to the emotion engine in real time. The emotion engine then analyzes the data and recognizes the user's emotional state. The recognized emotion data is then sent to the server and stored.
[1111] Customization Progression
[1112] Each time a user selects an interior or exterior setting on the customization screen, the device displays a real-time preview of the selection and sends it to the server. The server then stores the selection and emotion data in a database and sends it to the generative AI model for comprehensive analysis. Based on the analysis results, the next recommended customization settings are generated and sent to the device.
[1113] Test drive booking and preparation
[1114] After completing the customization, the user clicks the "Save" and "Book a test drive" buttons. The server saves the final customization details and test drive reservation information in the database and instructs the agency to prepare the test drive vehicle. In addition, a test drive reservation confirmation email is sent to the user. The user can visit the agency at the specified date and time to test drive the customized car.
[1115] Specific examples
[1116] For example, when a user changes the color or material of their seats, the emotion engine recognizes their excitement and satisfaction from their facial expressions and voice. If the user selects leather seats and smiles while doing so, the emotion engine determines that the user is satisfied with their choice. This information is sent to the server, and the generative AI model generates and displays the next recommended customization (for example, interior lighting colors that match the leather seats).
[1117] After customization is complete, the user can make a test drive reservation, and the server will instruct the agency to prepare the test drive vehicle. At the same time, a test drive reservation confirmation email will be sent to the user, and they can visit the agency at the specified date and time to actually test drive the customized car. This system allows users to easily customize their car to their liking and receive optimal setting recommendations based on emotion recognition, resulting in a more satisfying experience. It also makes it easier for manufacturers and agencies to respond to diverse needs.
[1118] Prompt Sentence Examples
[1119] Example 1: "A user is selecting a seat color on the customization screen. The emotion engine analyzes the user's facial expression, captures their emotional response to that selection, and triggers a generative AI model that generates the next recommendation."
[1120] Example 2: "Please explain the process for collecting user sentiment data when selecting leather seats and displaying the next recommended customization (lighting color) setting."
[1121] The flow of the identification process in the second embodiment will be described with reference to FIG.
[1122] Step 1:
[1123] User opens the customization screen
[1124] The user accesses a dedicated website or application and opens the customization screen. The input is the user's access request, and the output is the display of the customization screen. The terminal provides an interface in response to the user's operations. Specifically, the terminal launches the browser or application and displays the initial screen of the customization screen to the user.
[1125] Step 2:
[1126] Obtaining user information
[1127] The server retrieves the user's basic information and past customization history from a database. The input is the user ID and past search history, and the output is the retrieved data. Based on this data, the server generates recommended customization settings and sends that data to the device. Specifically, it extracts the necessary information from the database using SQL queries, and sends a data set including the recommended settings to the device.
[1128] Step 3:
[1129] Viewing recommended settings
[1130] The device receives the recommended setting data sent from the server and displays it on the customization screen. The input is the recommended setting data sent from the server, and the output is the recommended settings displayed on the customization screen. Specifically, the device updates the user interface and visually presents the recommended settings to the user.
[1131] Step 4:
[1132] Collecting Emotional Data
[1133] As the user customizes the device, it uses the built-in camera and microphone to collect the user's facial expression and voice data. The input is the user's facial expression and voice, and the output is the collected raw data. Specifically, it triggers the camera and microphone to turn on and sends the data to the emotion engine in real time.
[1134] Step 5:
[1135] Emotional Data Analysis
[1136] The emotion engine analyzes collected facial expressions and voice data to recognize the user's emotional state. The input is the collected raw data, and the output is data indicating the user's emotional state. Specifically, it uses machine learning algorithms to analyze facial expressions and recognize voice, generate emotion data, and send it to the server.
[1137] Step 6:
[1138] Customization Progression
[1139] The user selects interior, exterior, and other settings on the customization screen. The device displays a real-time preview of the user's selections and sends them to the server. The input is the user's selection, and the output is the preview and data sent to the server. Specifically, the device updates the visual elements of the selected items and sends the selected data to the server in JSON format or similar.
[1140] Step 7:
[1141] Data storage and analysis
[1142] The server stores the user's selections and emotional data in a database. It then sends the stored data to a generative AI model for comprehensive analysis. The inputs are the user's selections and emotional data, and the output is the analysis results, which are recommended customization settings. Specifically, the server records the data in a database, passes the input data to the AI model, and receives the analysis results.
[1143] Step 8:
[1144] Update and view recommendations
[1145] The server sends the recommended customization setting data obtained from the generative AI model to the device. The device displays the sent recommended customization settings on the screen. The input is the recommended data from the generative AI model, and the output is updated information displayed on the customization screen. Specifically, the user interface is updated again, and new recommended settings are provided to the user.
[1146] Step 9:
[1147] Test drive reservation
[1148] After completing the customization, the user clicks the "Save" and "Book a Test Drive" buttons. The input is the user's reservation operation, and the output is sending the reservation information to the server. Specifically, the selected customization details and the desired test drive date and time are sent to the server.
[1149] Step 10:
[1150] Data storage and preparation instructions
[1151] The server saves the final customization details and test drive reservation information in a database. It also instructs the agency to prepare the test drive vehicle. The inputs are the user's selections and reservation information, and the output is preparation instructions to the agency. Specifically, it records the data in the database and sends the necessary information to the agency.
[1152] Step 11:
[1153] Sending a confirmation email
[1154] The server sends a test drive reservation confirmation email to the user. The input is the reservation information, and the output is a confirmation email. Specifically, the server generates an email based on the reservation information and sends it to the user's email address. The user can then visit the agency at the specified date and time to test drive the customized car.
[1155] (Application example 2)
[1156] 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."
[1157] Conventional vehicle customization systems struggled to provide specific recommendations based on user sentiment, resulting in a lack of customization suggestions to improve user satisfaction. Furthermore, there were no systems that offered real-time customization experiences in physical stores, meaning users could not check the vehicle customization details in real time. Furthermore, the test drive reservation process was cumbersome, resulting in low user convenience.
[1158] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes: means for providing a customization screen operating on a terminal for a user to customize the interior and exterior of a vehicle; means for saving customization contents selected by the user through the customization screen in real time; means including an AI module that analyzes the saved customization contents and presents the next recommended customization; means including an emotion recognition engine that recognizes emotions from the user's facial expressions and voice and adjusts the recommended customization based on the emotions; means for customizing a vehicle at a physical store through smart glasses and previewing the customization contents in real time; means for accepting test drive reservations for the customized vehicle; and means for transmitting test drive reservation information to a dealer and preparing the test drive vehicle. This enables the user to receive optimal customization suggestions based on their emotions in real time, thereby improving the user's experience and satisfaction. Furthermore, a real-time customization experience at a physical store using smart glasses makes it easier for the user to check the customization results on the spot. Furthermore, test drive reservations become more convenient, improving the overall user experience.
[1159] The "customization screen" is a screen that provides an interface for users to freely select and configure the interior and exterior of their vehicle.
[1160] The "means for saving in real time" is a function that instantly records the customization content selected by the user on the server and stores it as data.
[1161] The "AI module" is an analysis function that uses artificial intelligence to generate and present the next recommended customization based on the saved customization content.
[1162] The "emotion recognition engine" is a function that analyzes the user's facial expressions and voice and determines the user's emotional state based on the results.
[1163] "Smart glasses" are information display devices used in brick-and-mortar stores that allow users to visually check customization details in real time.
[1164] The "means for displaying a preview" is a function for visually displaying and confirming the contents of the interior and exterior customized by the user in real time.
[1165] The "means for accepting test drive reservations" is a function for making test drive reservations based on the customization details selected by the user.
[1166] The "means for preparing a test drive vehicle" is a function that instructs the dealer to prepare the vehicle when a test drive reservation is confirmed.
[1167] System Overview
[1168] This invention provides a system that allows users to customize the interior and exterior of a vehicle according to their preferences and book a test drive based on the customized content. The system includes an emotion recognition engine that recognizes the user's emotions and adjusts the recommended customizations based on those emotions. Furthermore, the customized content can be viewed and experienced in real time using smart glasses in a physical store.
[1169] Hardware and software used
[1170] 1. Hardware:
[1171] Server: Used to store and analyze customizations, run AI modules and emotion recognition engines, and manage test drive reservations.
[1172] Device: The device (e.g., smartphone, tablet, PC) through which the user accesses the customization screen and performs customization.
[1173] Smart glasses: A device that allows users to visually check customization details in real time in physical stores.
[1174] 2. Software:
[1175] Customization Screen: A web or mobile application that provides the user interface and allows users to configure the interior and exterior of their vehicle.
[1176] AI module: Analyzes saved customizations and generates the next recommended customization.
[1177] Emotion recognition engine: Analyzes the user's facial expressions and voice and recognizes their emotions based on that.
[1178] Preview display function: Display customization results in real time through smart glasses.
[1179] System Features
[1180] 1. Start customization and get user information:
[1181] The user accesses a dedicated website or application using the terminal and opens the customization screen.
[1182] The server retrieves the user's basic information and past customization history from the database and displays recommended settings on the customization screen.
[1183] 2. Emotion recognition and analysis:
[1184] The emotion recognition engine analyzes the user's facial expressions and voice and recognizes the user's emotions in real time.
[1185] The acquired emotion data is sent to the server and stored along with the selection.
[1186] 3. Customization Progression:
[1187] The user selects interior, exterior and other settings on the customization screen.
[1188] The terminal displays a preview of the user's selection in real time and transmits the preview to the server in real time.
[1189] The server stores the selections and emotional data in a database and activates an AI module for comprehensive analysis.
[1190] Based on the analysis results, the following recommended customization settings are generated and sent to the device:
[1191] 4. Test drive booking and preparation:
[1192] When customization is complete, the user clicks the "Save" and "Book a Test Drive" buttons.
[1193] The server stores the final customization details and test drive reservation information in a database and instructs the dealer to prepare for the test drive.
[1194] A confirmation email for the test drive reservation will be sent to the user.
[1195] Specific examples
[1196] For example, when a user customizes a vehicle, the following process is carried out.
[1197] When a user changes the seat color or material, the emotion recognition engine recognizes excitement and satisfaction from the user's facial expressions and voice. If the user selects leather seats and smiles while doing so, the emotion recognition engine determines that the user is satisfied with their choice. This information is sent to the server, and the AI module generates the next recommendation (for example, the interior lighting color that matches the leather seats) and presents it to the user.
[1198] When the user wears the smart glasses at a physical store, the selected customization details are displayed on the smart glasses in real time, allowing the user to preview the vehicle on the spot. After customization is complete, the user can make a test drive reservation, and the server instructs the dealer to prepare the test drive vehicle. A test drive reservation confirmation email is sent to the user, and they can visit the dealer at the specified date and time to test drive the customized car.
[1199] Prompt Sentence Examples
[1200] "User ID: 12345, Customizations: Leather seats, red, interior lighting: blue"
[1201] "Please send test drive reservation information to the dealer. User ID: 12345, Test drive date: 2023-10-01"
[1202] This system allows users to easily customize their car to their liking and receive optimal setting recommendations based on emotion recognition, resulting in a more satisfying experience. It also makes it easier for manufacturers and dealers to meet diverse customer needs.
[1203] The flow of the specific processing in the application example 2 will be described with reference to FIG.
[1204] Step 1:
[1205] A user accesses a dedicated website or application using a device and opens the customization screen. The device requests the user's basic information and past customization history from the server. The server then retrieves information from the database and displays recommended settings on the customization screen. The input is the user's account information, and the output is the past customization history and recommended settings.
[1206] Step 2:
[1207] The emotion recognition engine analyzes real-time video and audio data sent from the device to recognize the user's emotions. The server receives the video and audio data as input, analyzes it with the emotion recognition engine, and outputs the user's emotional data. This emotional data is used for subsequent customization suggestions.
[1208] Step 3:
[1209] Each time the user selects an interior or exterior setting on the customization screen, the device transmits the selection to the server in real time. The input is the user's customization selection, and the output is the customization data stored on the server. The device also generates data for previewing the selection in real time and visually displays it to the user.
[1210] Step 4:
[1211] The server stores the user's selections and emotion data in a database and launches an AI module for comprehensive analysis. The AI module receives the customization data and emotion data as input and outputs the next recommended customization settings based on them. This generates the optimal customization proposal for the user and sends it to the device.
[1212] Step 5:
[1213] When a user wears the smart glasses in a physical store, the terminal displays the selected customization content on the smart glasses in real time. The input is the user's customization selection, and the output is a preview image displayed on the smart glasses. The user can check the customization results in real time and make changes as needed.
[1214] Step 6:
[1215] When customization is complete, the user clicks the "Save" and "Book a test drive" buttons. The device sends this operation to the server, which then stores the final customization details and test drive reservation information in a database. The input is the user's final customization details and test drive reservation information, and the output is the data stored in the database and a reservation instruction sent to the dealer.
[1216] Step 7:
[1217] The server sends the test drive reservation information to the dealer and prepares the test drive vehicle. In addition, a confirmation email of the test drive reservation is sent to the user. The input is the test drive reservation information, and the output is preparation instructions for the dealer and a confirmation email to the user. This allows the user to visit the dealer on the specified date and time and actually test drive the customized car.
[1218] 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.
[1219] 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.
[1220] 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.
[1221] [Fourth embodiment]
[1222] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.
[1223] 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.
[1224] 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).
[1225] 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.
[1226] 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.
[1227] 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).
[1228] 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.
[1229] 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.
[1230] 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.
[1231] 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.
[1232] 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.
[1233] 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.
[1234] 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."
[1235] This invention is a system that allows users to customize the interior and exterior of a vehicle according to their preferences and then book a test drive based on the customized content. This system implements a series of processes in which the user operates the customization screen through a terminal, and the server saves and analyzes the selections in real time.
[1236] System processing flow
[1237] Start customization and get user information
[1238] The user starts customization on the device using a dedicated website or application. When the user accesses the website, the server retrieves the user's basic information and past customization history from the database and displays recommended settings on the customization screen.
[1239] Customization progress and saving
[1240] When a user selects various settings on the customization screen, the selections are sent from the device to the server in real time. The server stores the selections in a database and activates an AI module to analyze the user's selections. Based on the analysis results, the next recommended customization settings are displayed on the customization screen in real time.
[1241] Customization screen
[1242] The customization screen is a user interface that is easy for users to operate. Users can intuitively select interior colors and materials, seat arrangements, wheel designs, exterior paint, etc. Selections are instantly reflected on the screen, allowing users to visually confirm their selections.
[1243] Test drive booking and preparation
[1244] When the customization is complete, the user clicks the "Save" and "Book a test drive" buttons. The server receives the final customization details and test drive reservation information and saves them in the database. At the same time, it instructs the dealer to prepare for the test drive and sends a confirmation email to the user.
[1245] Specific examples
[1246] For example, if a user changes the interior seats to leather, categorizes the wheels as a sporty type, and changes the exterior color to red, the selections are sent in real time from the device to the server. The server stores the data, and the AI module presents a sporty exterior design as the next recommendation. Once the user has completed all customizations, an option to book a test drive appears, and the user can make a reservation. This information is sent to the dealer via the server, and a test drive will be conducted in the prepared vehicle at the specified date and time.
[1247] This system allows users to easily customize their vehicle to their liking and experience their choice through test drives, while also making it easier for manufacturers and dealers to provide services that meet a variety of needs.
[1248] The processing flow will be explained below.
[1249] Step 1:
[1250] The user accesses a dedicated website or application and opens the customization screen.
[1251] Step 2:
[1252] The server retrieves the user's basic information and past customization history from the database.
[1253] Step 3:
[1254] Based on the information obtained by the server, recommended settings are displayed on the customization screen.
[1255] Step 4:
[1256] The user selects interior, exterior and other settings on the customization screen.
[1257] Step 5:
[1258] The device displays a real-time preview of the user's selections.
[1259] Step 6:
[1260] The device transmits the selection to the server in real time.
[1261] Step 7:
[1262] The server saves the selection in a database.
[1263] Step 8:
[1264] The server launches an AI module to analyze the saved selections.
[1265] Step 9:
[1266] Based on the analysis results, the server generates the next recommended customization settings and sends them to the device.
[1267] Step 10:
[1268] Once the user has completed all customizations, they click the "Save" and "Book a Test Drive" buttons.
[1269] Step 11:
[1270] The terminal sends the final customization details and test drive reservation information to the server.
[1271] Step 12:
[1272] The server stores the final customization details and test drive reservation information in a database.
[1273] Step 13:
[1274] The server sends the test drive reservation information to the dealer.
[1275] Step 14:
[1276] The server sends a confirmation email to the user confirming the test drive reservation.
[1277] Step 15:
[1278] The dealer prepares a vehicle with the specified customization based on the test drive reservation information from the server.
[1279] Example 1
[1280] 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."
[1281] Conventional vehicle customization systems lacked the functionality to reflect user customizations in real time and to analyze the selections and present the next recommended settings. As a result, users often were unable to make satisfactory choices during the customization process. Another issue was the complicated test drive reservation process, which required a lot of time and effort.
[1282] 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.
[1283] In this invention, the server includes: means for providing a customization screen that operates on a terminal, allowing a user to customize the interior and exterior of a vehicle; means for saving customization details selected by the user through the customization screen in real time; means including an AI module that analyzes the saved customization details and presents the next recommended customization; means for accepting test drive reservations for the customized vehicle; means for transmitting test drive reservation information to a dealer and preparing the test drive vehicle; and means for displaying recommended customization settings in real time based on the user's selections. This allows users to intuitively and efficiently customize their vehicle and make optimal choices while checking the results in real time. The test drive reservation process is also simplified, improving the user experience.
[1284] "User" refers to a person who uses the system to customize the interior and exterior of a vehicle and schedule a test drive.
[1285] "Customization screen" refers to an interface that allows users to intuitively select and change the interior and exterior of their vehicle.
[1286] "Terminal" refers to a device that displays a customization screen and accepts user input.
[1287] "Server" refers to a computer system that stores user customizations and basic information and processes them in real time.
[1288] "Means for saving in real time" refers to a function that instantly records changes made by the user on the customization screen.
[1289] "AI module" refers to artificial intelligence that analyzes the user's customizations and generates the next recommended settings.
[1290] "Recommended customization" refers to the customization settings that the AI module suggests to the user that are considered optimal.
[1291] "Means for accepting test drive reservations" refers to a function for making test drive reservations based on the customization details of the vehicle selected by the user.
[1292] "Dealer" refers to a company that provides test drive vehicles to users.
[1293] A "confirmation notice" refers to a message sent to a user once a test drive reservation has been completed, informing the user of the details of the reservation.
[1294] "Past customization history" refers to a record of customizations previously performed by a user.
[1295] "Database" refers to a system that centrally manages and stores data such as user information and customization history.
[1296] The "means for displaying recommended customization settings" refers to a function that presents customization options suitable for the user on the customization screen based on the results of the analysis by the server.
[1297] The present invention is a system that allows a user to customize the interior and exterior of a vehicle and then book a test drive based on the customized content. This system is implemented through the following processing flow.
[1298] The user starts customization on the device using a dedicated website or application. The server retrieves the user's basic information and past customization history from the database and displays recommended settings on the customization screen.
[1299] The user selects various settings on the customization screen, such as interior color and material, seat arrangement, wheel design, and exterior paint. The device transmits these selections in real time to the server, which stores them in a database. The server then activates an AI module to analyze the user's selections and displays the next recommended customization settings on the customization screen in real time.
[1300] For example, suppose a user changes the interior seats to leather, the wheels to a sports type, and the exterior color to red. In this case, the device immediately reflects these selections on the screen and sends them to the server. The server stores the received data in a database, and an AI module analyzes the user's selections and presents a sporty exterior design as the next recommended item. Once the user has completed all customization settings, an option to book a test drive is displayed, so the user can make a reservation. This information is then sent to the dealer via the server, and a test drive is conducted in the prepared vehicle at the specified date and time.
[1301] The system allows users to easily and intuitively customize their vehicle according to their preferences. Furthermore, by utilizing an AI module to analyze user selections and provide real-time recommendations for the next setup, the system enables an efficient and satisfying customization experience. The test drive booking process is also simple and quick, further improving the user experience.
[1302] An example prompt would be:
[1303] "Write a program that describes a system that allows users to customize the interior and exterior of a vehicle. Schedule a test drive based on the customizations you've made, and describe in detail the flow the user follows through the customization screens. Include real-time storage and analysis of the user's selections, and subsequent recommendations."
[1304] This allows users to easily customize their ideal vehicle and experience their selection through a test drive, and also makes it easier for manufacturers and dealers to provide services that meet a variety of needs.
[1305] The flow of the identification process in the first embodiment will be described with reference to FIG.
[1306] Specific explanation of processing steps
[1307] Step 1:
[1308] A user accesses a dedicated website or application and sees a customized start screen.
[1309] Input: User initiated customization.
[1310] Output: The customization start screen will be displayed on the device.
[1311] Specific operation: When a user clicks the "Start customization" button on a website or in an app, the device sends a request to the server, which generates and displays the customization screen.
[1312] Step 2:
[1313] The server retrieves the user's basic information and past customization history from the database.
[1314] Input: User ID or login information.
[1315] Output: Obtain the user's basic information and past customization history, and display recommended settings on the customization screen.
[1316] Specific operation: The server searches the database based on the user's ID, retrieves past customization history and basic information, and uses that information to display initial recommended settings on the customization screen.
[1317] Step 3:
[1318] Users can select interior color and materials, seat arrangement, wheel design, exterior paint, and more on the customization screen.
[1319] Input: Setting changes made by the user on the customization screen.
[1320] Output: The changed settings are displayed on the terminal.
[1321] Specific operation: When the user selects an item, the device reflects the changes on the screen in real time and sends the selection to the server.
[1322] Step 4:
[1323] The device transmits the user's selections to the server in real time.
[1324] Input: Data for customization settings changes.
[1325] Output: The selections are sent to the server and stored.
[1326] Specific operation: The terminal immediately transmits the user's selections to the server, which stores the data in a database.
[1327] Step 5:
[1328] The server analyzes the saved selections and uses an AI module to generate the next recommended customization settings.
[1329] Input: The user's current customization selections.
[1330] Output: Recommended customization settings generated by the AI module.
[1331] What it does: The server launches an AI module to analyze the user's selections and generate the next set of recommended customizations based on the results.
[1332] Step 6:
[1333] The server displays the generated recommended customization settings on a customization screen through the terminal.
[1334] Input: Recommended customization settings generated by the AI module.
[1335] Output: Recommended customization settings are displayed on the customization screen.
[1336] Specific operation: The server sends the generated recommended settings to the device, and the new recommended customization items are displayed on the customization screen.
[1337] Step 7:
[1338] The user completes the customization settings and clicks the "Save" and "Book a Test Drive" buttons.
[1339] Input: User's final customization settings and test drive booking request.
[1340] Output: Test drive reservation information is sent to the server.
[1341] Specific operation: Once the user has completed customization, the device will display a final confirmation screen, and when the user presses the "Save" and "Book a test drive" buttons, the information will be sent to the server.
[1342] Step 8:
[1343] The server stores the final customization details and test drive reservation information in a database and transmits the test drive reservation information to the dealer.
[1344] Input: User's final customizations and test drive reservation information.
[1345] Output: Test drive booking information sent to dealer.
[1346] Specific operation: The server stores the final customization details and test drive reservation information in a database, and sends the test drive reservation information to the dealer via email or other communication means.
[1347] Step 9:
[1348] The server sends a confirmation of the test drive reservation to the user.
[1349] Input: Test drive booking details.
[1350] Output: Acknowledgement to the user.
[1351] Specific operation: The server confirms that the test drive reservation has been completed and sends a confirmation email to the user informing them of the reservation details.
[1352] (Application example 1)
[1353] 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."
[1354] Conventional vehicle customization systems have the drawback of making it difficult for users to customize the interior and exterior of a vehicle in a physical store, resulting in the time and effort required to make a test drive reservation. Furthermore, they are unable to provide real-time recommendations based on the user's customization history and preferences, resulting in a user experience that does not reflect current trends. Furthermore, it is difficult to promptly and accurately confirm test drive reservations.
[1355] 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.
[1356] In this invention, the server includes: a means for providing a customization screen that operates on a terminal, allowing the user to customize the interior and exterior of a vehicle; a means for saving the customization content selected by the user through the customization screen in real time; a means including a generative AI model that analyzes the saved customization content and presents the next recommended customization; a means for accepting test drive reservations for customized vehicles; a means for sending test drive reservation information to a store staff member and preparing the test drive vehicle; and a means for sending the user's customization content to the server and sending a test drive reservation confirmation email based on the content. This allows users to easily customize vehicles at a store and make test drive reservations on the spot. Furthermore, the user experience is improved by being able to quickly confirm recommended customizations and test drive reservations based on the user's past customization history.
[1357] "User" refers to an end user who uses the system to customize a vehicle or book a test drive.
[1358] "Interior" refers to the decoration and design of the inside of a vehicle, specifically the material and color of the seats, the design of the dashboard, etc.
[1359] "Exterior" refers to the exterior design and color of the vehicle, specifically the body color, wheel design, type of paint, etc.
[1360] "Terminal" refers to an electronic device such as a smartphone, tablet, or PC that allows a user to operate a customization screen.
[1361] "Customization Screen" means a screen that provides an interface for a user to select and edit the interior and exterior of a vehicle.
[1362] "Real-time" means that user operations and selections are processed and displayed as results immediately.
[1363] "Saving" refers to recording the customization details selected by the user on a server or database.
[1364] A "generative AI model" is an artificial intelligence algorithm that analyzes the user's customizations and provides the next recommended customization in real time.
[1365] A "test drive reservation" refers to a user making a reservation to actually test drive a vehicle that reflects the customization details.
[1366] A "physical store" is a physical store where users can actually visit and see vehicles and take them for test drives.
[1367] A "person in charge" is a staff member who interacts with users at a physical store and is responsible for preparing test drive vehicles and confirming reservations.
[1368] A "server" is a computer system that stores and processes user customization details, test drive reservation information, etc., and links with other systems.
[1369] "User experience" refers to the overall satisfaction and ease of operation that a user feels when using this system.
[1370] "Recommended customization" refers to the next customization option that the system will suggest based on saved customizations and the user's past history.
[1371] To realize this application example, a system including the following elements is constructed.
[1372] System Configuration
[1373] 1. User Device
[1374] This is an electronic device such as a smartphone, tablet, or PC. The user uses this device to operate the vehicle customization screen.
[1375] 2. Customization screen
[1376] This screen provides an interface for users to select and edit the interior and exterior of the vehicle.
[1377] You can intuitively select and change interior colors and materials, exterior paint, wheel designs, etc.
[1378] 3. Server
[1379] It is responsible for saving user selections in real time and analyzing the data using generative AI models.
[1380] The user's past customization history is retrieved from the stored database, and the next recommended customization is presented.
[1381] 4. Generative AI Models
[1382] It is an artificial intelligence algorithm that analyzes the customization choices you make and presents the next recommended customization options.
[1383] 5. Test drive reservation system
[1384] Once customization is complete, the server accepts a test drive reservation from the user and sends the information to the person in charge at the physical store.
[1385] The store staff will prepare the test drive vehicle based on the information received.
[1386] The server will send a confirmation email to the user confirming the test drive reservation.
[1387] Hardware and software used
[1388] Hardware: Servers require powerful processors and large amounts of storage.
[1389] Software: Python and Flask are used to build the backend, and SQLite is used for database management. The SMTP server can be anything, such as the Gmail SMTP server.
[1390] Data processing and calculation
[1391] Saving user customization information: Data entered on the customization screen is sent to the server in real time and saved in a database on the server.
[1392] Analysis by generative AI model: The stored data is analyzed by a generative AI model to generate the next recommended customization option.
[1393] Test drive reservation management: When a user makes a test drive reservation, the information is stored on the server and sent to the store staff as appropriate.
[1394] Send confirmation email: A confirmation email for the test drive reservation will be automatically sent to the user's email address.
[1395] Specific examples
[1396] For example, if a user selects leather seats for the interior and red paint for the exterior on the customization screen, the selections are sent to the server in real time. The server stores the data and uses a generative AI model to recommend options for a "sporty exterior." If the user then schedules a test drive, the information is sent to a physical store via the server, and the test drive vehicle is prepared. A reservation confirmation email is then automatically sent to the user.
[1397] Prompt Sentence Examples
[1398] User ID 12345 is looking for the following vehicle customizations: Interior: Leather seats, Exterior: Red paint. Please suggest the following customization options:
[1399] The above is a specific description of the "Mode for Carrying Out the Invention."
[1400] The flow of the specific processing in the application example 1 will be described with reference to FIG.
[1401] Step 1:
[1402] The user operates the customization screen on the device.
[1403] Input: User customization choices (e.g. interior color, exterior design)
[1404] Data processing / calculation: The customization details selected by the user on the screen are sent from the terminal to the server in real time.
[1405] Output: Customizations sent to the server
[1406] Step 2:
[1407] The server saves the user's selection.
[1408] Input: Customization sent from the device
[1409] Data processing / calculation: Record customization details in the database.
[1410] Output: Saved customization data
[1411] Step 3:
[1412] The server inputs the saved customization data into the generative AI model.
[1413] Input: Saved customization data
[1414] Data processing / calculation: The generative AI model analyzes the customization data and creates the next recommended customization option.
[1415] Output: Generated recommended customization options
[1416] Step 4:
[1417] The server transmits the generated recommended customization options to the terminal and displays them on the customization screen.
[1418] Input: Generated recommended customization options
[1419] Data processing / calculation: Formatting the data to display recommended customization options in real time on the customization screen.
[1420] Output: Recommended customization options displayed on the customization screen
[1421] Step 5:
[1422] The user completes customization and books a test drive.
[1423] Input: User's customization details and desired test drive date and time
[1424] Data processing / calculation: When the user presses the "Book a test drive" and "Save" buttons on the customization screen, the information is sent to the server.
[1425] Output: Test drive reservation information sent to the server
[1426] Step 6:
[1427] The server sends the test drive reservation information to the person in charge at the physical store.
[1428] Input: Test drive reservation information
[1429] Data processing / calculation: Test drive reservation information is converted into a format that is easy for store staff to understand.
[1430] Output: Test drive reservation information sent to the store staff
[1431] Step 7:
[1432] The server will send a test drive reservation confirmation email to the user.
[1433] Input: Test drive reservation information, user email address
[1434] Data processing / calculation: Generate the contents of the reservation confirmation email and send it using the SMTP server.
[1435] Output: Test drive booking confirmation email sent to the user
[1436] 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.
[1437] System Overview
[1438] This invention is a system that allows users to customize the interior and exterior of a vehicle according to their preferences and then book a test drive based on the customized content. The system incorporates an emotion engine that recognizes the user's emotions and adjusts the recommended customizations based on those emotions. The user customizes the vehicle on their device, and the selections are saved in real time on a server, where they are analyzed and processed by an AI module and the emotion engine.
[1439] System processing flow
[1440] Start customization and get user information
[1441] When a user accesses a dedicated website or application and opens the customization screen, the server retrieves the user's basic information and past customization history from the database and displays recommended settings on the customization screen.
[1442] Emotion recognition and analysis
[1443] The emotion engine analyzes the user's facial expressions and voice to recognize their emotions in real time. The acquired emotion data is sent to the server and stored along with the selections.
[1444] Customization Progression
[1445] The user selects interior, exterior, and other settings on the customization screen. The device displays a real-time preview of the user's selections and transmits them to the server in real time. The server stores the selections and emotion data in a database and activates an AI module for comprehensive analysis. Based on the analysis results, the next recommended customization settings are generated and transmitted to the device.
[1446] Test drive booking and preparation
[1447] When customization is complete, the user clicks the "Save" and "Book a test drive" buttons. The server saves the final customization details and test drive reservation information in the database and instructs the dealer to prepare for the test drive. In addition, a test drive reservation confirmation email is sent to the user.
[1448] Specific examples
[1449] For example, when a user changes the color or material of their seats, the emotion engine recognizes their excitement and satisfaction from their facial expressions and voice. If the user selects leather seats and smiles while doing so, the emotion engine determines that the user is satisfied with their choice. This information is sent to the server, and the AI module generates and displays the next recommendation (for example, the interior lighting color that matches the leather seats).
[1450] After customization is complete, the user can make a test drive reservation, and the server will instruct the dealer to prepare the test drive vehicle. At the same time, a test drive reservation confirmation email will be sent to the user, and the user can visit the dealer at the specified date and time to test drive the customized car.
[1451] This system allows users to easily customize their car to their liking and receive optimal setting recommendations based on emotion recognition, resulting in a more satisfying experience, while also making it easier for manufacturers and dealers to meet diverse needs.
[1452] The processing flow will be explained below.
[1453] Step 1:
[1454] The user accesses a dedicated website or application and opens the customization screen.
[1455] Step 2:
[1456] The server retrieves the user's basic information and past customization history from the database.
[1457] Step 3:
[1458] Based on the information obtained by the server, recommended settings are displayed on the customization screen.
[1459] Step 4:
[1460] The user selects interior, exterior and other settings on the customization screen.
[1461] Step 5:
[1462] The emotion engine analyzes the user's facial expressions and voice in real time to recognize their emotions.
[1463] Step 6:
[1464] The device displays a real-time preview of the user's selections.
[1465] Step 7:
[1466] The device transmits the selection and emotion data to the server in real time.
[1467] Step 8:
[1468] The server stores the selections and emotion data in a database.
[1469] Step 9:
[1470] The server activates an AI module that comprehensively analyzes the selections and emotional data.
[1471] Step 10:
[1472] Based on the analysis results, the server generates the next recommended customization settings and sends them to the device.
[1473] Step 11:
[1474] Once the user has completed all customizations, they click the "Save" and "Book a Test Drive" buttons.
[1475] Step 12:
[1476] The terminal sends the final customization details and test drive reservation information to the server.
[1477] Step 13:
[1478] The server stores the final customization details and test drive reservation information in a database.
[1479] Step 14:
[1480] The server sends the test drive reservation information to the dealer.
[1481] Step 15:
[1482] The server sends a confirmation email to the user confirming the test drive reservation.
[1483] Step 16:
[1484] The dealer prepares a vehicle with the specified customization based on the test drive reservation information from the server.
[1485] Example 2
[1486] 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."
[1487] Conventional vehicle customization systems select customizations without considering the user's emotional state, which does not necessarily result in high user satisfaction. Furthermore, recommended settings based on customization content are rarely provided automatically, leaving a need for an improved user experience. Furthermore, the test drive reservation process is not automated and is time-consuming. This invention aims to solve these problems.
[1488] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.
[1489] In this invention, the server includes: means for providing a customization screen that operates on a terminal to allow a user to customize the interior and exterior of a vehicle; means for saving in real time the customization content selected by the user through the customization screen; means including a generative AI model that analyzes the saved customization content and acquired user emotion data and presents the next recommended customization; means for accepting test drive reservations for vehicles whose customization has been completed; and means for transmitting test drive reservation information to an agency and preparing the test drive vehicle. This makes it possible to provide optimal customization settings based on the user's emotions and significantly reduce the effort required for test drive reservations.
[1490] A "terminal" is a device such as a computer or smartphone operated by a user, which serves to provide a customized screen.
[1491] "Customization Screen" means an interface provided to a user for customizing the interior and exterior of a vehicle, allowing the user to visually confirm their selections.
[1492] "Customization details" refers to the interior and exterior settings of the vehicle selected by the user, including specifications such as color, material, and shape.
[1493] A "server" is a central computer system that receives, processes, stores, and performs any necessary actions on data sent by users.
[1494] "Emotion data" is data that indicates the emotional state of the user analyzed from facial expressions, voice, etc., and is used to measure the user's level of satisfaction and excitement.
[1495] A "generative AI model" is an algorithm that automatically generates the next recommended customization settings based on saved customization content and emotional data.
[1496] "Agency" refers to a company such as a vehicle sales company or dealer that prepares test drive vehicles and handles customer service.
[1497] "Test drive reservation" is the process by which a user specifies the desired date, time, and location for a test drive of a customized vehicle and makes a reservation.
[1498] "Test drive reservation information" is data indicating detailed information entered by the user, such as the desired date and time of the test drive, location, and customization details.
[1499] A "confirmation email" is an email sent from the server to a user who has made a test drive reservation, and is intended to confirm and notify the user of the reservation information.
[1500] This invention provides a system that allows users to customize the interior and exterior of a vehicle, analyzes and saves the customization details in real time, and presents recommended customizations for the next step. It also provides a mechanism for accepting reservations for test drives of the customized vehicle.
[1501] System Overview
[1502] The system includes the following major hardware and software:
[1503] 1. Terminal - Provide a customizable screen on the device the user operates (PC, tablet, smartphone, etc.).
[1504] 2. Server - A central computer system that receives, stores, and processes data.
[1505] 3. Emotion Engine - A software module that analyzes the user's facial expressions and voice and generates emotional data.
[1506] 4. Generative AI model - An algorithm that analyzes the customization content and acquired emotional data to generate the next recommended customization settings.
[1507] Start customization and get information
[1508] The user accesses a dedicated website or application from their device and opens the customization screen. The server retrieves the user's basic information and past customization history from the database and sends it to the device. The device then displays recommended settings on the customization screen based on the received information.
[1509] Emotion Recognition and Data Analysis
[1510] The device uses the user's camera and microphone to collect facial expression and voice data, which is then sent to the emotion engine in real time. The emotion engine then analyzes the data and recognizes the user's emotional state. The recognized emotion data is then sent to the server and stored.
[1511] Customization Progression
[1512] Each time a user selects an interior or exterior setting on the customization screen, the device displays a real-time preview of the selection and sends it to the server. The server then stores the selection and emotion data in a database and sends it to the generative AI model for comprehensive analysis. Based on the analysis results, the next recommended customization settings are generated and sent to the device.
[1513] Test drive booking and preparation
[1514] After completing the customization, the user clicks the "Save" and "Book a test drive" buttons. The server saves the final customization details and test drive reservation information in the database and instructs the agency to prepare the test drive vehicle. In addition, a test drive reservation confirmation email is sent to the user. The user can visit the agency at the specified date and time to test drive the customized car.
[1515] Specific examples
[1516] For example, when a user changes the color or material of their seats, the emotion engine recognizes their excitement and satisfaction from their facial expressions and voice. If the user selects leather seats and smiles while doing so, the emotion engine determines that the user is satisfied with their choice. This information is sent to the server, and the generative AI model generates and displays the next recommended customization (for example, interior lighting colors that match the leather seats).
[1517] After customization is complete, the user can make a test drive reservation, and the server will instruct the agency to prepare the test drive vehicle. At the same time, a test drive reservation confirmation email will be sent to the user, and they can visit the agency at the specified date and time to actually test drive the customized car. This system allows users to easily customize their car to their liking and receive optimal setting recommendations based on emotion recognition, resulting in a more satisfying experience. It also makes it easier for manufacturers and agencies to respond to diverse needs.
[1518] Prompt Sentence Examples
[1519] Example 1: "A user is selecting a seat color on the customization screen. The emotion engine analyzes the user's facial expression, captures their emotional response to that selection, and triggers a generative AI model that generates the next recommendation."
[1520] Example 2: "Please explain the process for collecting user sentiment data when selecting leather seats and displaying the next recommended customization (lighting color) setting."
[1521] The flow of the identification process in the second embodiment will be described with reference to FIG.
[1522] Step 1:
[1523] User opens the customization screen
[1524] The user accesses a dedicated website or application and opens the customization screen. The input is the user's access request, and the output is the display of the customization screen. The terminal provides an interface in response to the user's operations. Specifically, the terminal launches the browser or application and displays the initial screen of the customization screen to the user.
[1525] Step 2:
[1526] Obtaining user information
[1527] The server retrieves the user's basic information and past customization history from a database. The input is the user ID and past search history, and the output is the retrieved data. Based on this data, the server generates recommended customization settings and sends that data to the device. Specifically, it extracts the necessary information from the database using SQL queries, and sends a data set including the recommended settings to the device.
[1528] Step 3:
[1529] Viewing recommended settings
[1530] The device receives the recommended setting data sent from the server and displays it on the customization screen. The input is the recommended setting data sent from the server, and the output is the recommended settings displayed on the customization screen. Specifically, the device updates the user interface and visually presents the recommended settings to the user.
[1531] Step 4:
[1532] Collecting Emotional Data
[1533] As the user customizes the device, it uses the built-in camera and microphone to collect the user's facial expression and voice data. The input is the user's facial expression and voice, and the output is the collected raw data. Specifically, it triggers the camera and microphone to turn on and sends the data to the emotion engine in real time.
[1534] Step 5:
[1535] Emotional Data Analysis
[1536] The emotion engine analyzes collected facial expressions and voice data to recognize the user's emotional state. The input is the collected raw data, and the output is data indicating the user's emotional state. Specifically, it uses machine learning algorithms to analyze facial expressions and recognize voice, generate emotion data, and send it to the server.
[1537] Step 6:
[1538] Customization Progression
[1539] The user selects interior, exterior, and other settings on the customization screen. The device displays a real-time preview of the user's selections and sends them to the server. The input is the user's selection, and the output is the preview and data sent to the server. Specifically, the device updates the visual elements of the selected items and sends the selected data to the server in JSON format or similar.
[1540] Step 7:
[1541] Data storage and analysis
[1542] The server stores the user's selections and emotional data in a database. It then sends the stored data to a generative AI model for comprehensive analysis. The inputs are the user's selections and emotional data, and the output is the analysis results, which are recommended customization settings. Specifically, the server records the data in a database, passes the input data to the AI model, and receives the analysis results.
[1543] Step 8:
[1544] Update and view recommendations
[1545] The server sends the recommended customization setting data obtained from the generative AI model to the device. The device displays the sent recommended customization settings on the screen. The input is the recommended data from the generative AI model, and the output is updated information displayed on the customization screen. Specifically, the user interface is updated again, and new recommended settings are provided to the user.
[1546] Step 9:
[1547] Test drive reservation
[1548] After completing the customization, the user clicks the "Save" and "Book a Test Drive" buttons. The input is the user's reservation operation, and the output is sending the reservation information to the server. Specifically, the selected customization details and the desired test drive date and time are sent to the server.
[1549] Step 10:
[1550] Data storage and preparation instructions
[1551] The server saves the final customization details and test drive reservation information in a database. It also instructs the agency to prepare the test drive vehicle. The inputs are the user's selections and reservation information, and the output is preparation instructions to the agency. Specifically, it records the data in the database and sends the necessary information to the agency.
[1552] Step 11:
[1553] Sending a confirmation email
[1554] The server sends a test drive reservation confirmation email to the user. The input is the reservation information, and the output is a confirmation email. Specifically, the server generates an email based on the reservation information and sends it to the user's email address. The user can then visit the agency at the specified date and time to test drive the customized car.
[1555] (Application example 2)
[1556] 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."
[1557] Conventional vehicle customization systems struggled to provide specific recommendations based on user sentiment, resulting in a lack of customization suggestions to improve user satisfaction. Furthermore, there were no systems that offered real-time customization experiences in physical stores, meaning users could not check the vehicle customization details in real time. Furthermore, the test drive reservation process was cumbersome, resulting in low user convenience.
[1558] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes: means for providing a customization screen operating on a terminal for a user to customize the interior and exterior of a vehicle; means for saving customization contents selected by the user through the customization screen in real time; means including an AI module that analyzes the saved customization contents and presents the next recommended customization; means including an emotion recognition engine that recognizes emotions from the user's facial expressions and voice and adjusts the recommended customization based on the emotions; means for customizing a vehicle at a physical store through smart glasses and previewing the customization contents in real time; means for accepting test drive reservations for the customized vehicle; and means for transmitting test drive reservation information to a dealer and preparing the test drive vehicle. This enables the user to receive optimal customization suggestions based on their emotions in real time, thereby improving the user's experience and satisfaction. Furthermore, a real-time customization experience at a physical store using smart glasses makes it easier for the user to check the customization results on the spot. Furthermore, test drive reservations become more convenient, improving the overall user experience.
[1559] The "customization screen" is a screen that provides an interface for users to freely select and configure the interior and exterior of their vehicle.
[1560] The "means for saving in real time" is a function that instantly records the customization content selected by the user on the server and stores it as data.
[1561] The "AI module" is an analysis function that uses artificial intelligence to generate and present the next recommended customization based on the saved customization content.
[1562] The "emotion recognition engine" is a function that analyzes the user's facial expressions and voice and determines the user's emotional state based on the results.
[1563] "Smart glasses" are information display devices used in brick-and-mortar stores that allow users to visually check customization details in real time.
[1564] The "means for displaying a preview" is a function for visually displaying and confirming the contents of the interior and exterior customized by the user in real time.
[1565] The "means for accepting test drive reservations" is a function for making test drive reservations based on the customization details selected by the user.
[1566] The "means for preparing a test drive vehicle" is a function that instructs the dealer to prepare the vehicle when a test drive reservation is confirmed.
[1567] System Overview
[1568] This invention provides a system that allows users to customize the interior and exterior of a vehicle according to their preferences and book a test drive based on the customized content. The system includes an emotion recognition engine that recognizes the user's emotions and adjusts the recommended customizations based on those emotions. Furthermore, the customized content can be viewed and experienced in real time using smart glasses in a physical store.
[1569] Hardware and software used
[1570] 1. Hardware:
[1571] Server: Used to store and analyze customizations, run AI modules and emotion recognition engines, and manage test drive reservations.
[1572] Device: The device (e.g., smartphone, tablet, PC) through which the user accesses the customization screen and performs customization.
[1573] Smart glasses: A device that allows users to visually check customization details in real time in physical stores.
[1574] 2. Software:
[1575] Customization Screen: A web or mobile application that provides the user interface and allows users to configure the interior and exterior of their vehicle.
[1576] AI module: Analyzes saved customizations and generates the next recommended customization.
[1577] Emotion recognition engine: Analyzes the user's facial expressions and voice and recognizes their emotions based on that.
[1578] Preview display function: Display customization results in real time through smart glasses.
[1579] System Features
[1580] 1. Start customization and get user information:
[1581] The user accesses a dedicated website or application using the terminal and opens the customization screen.
[1582] The server retrieves the user's basic information and past customization history from the database and displays recommended settings on the customization screen.
[1583] 2. Emotion recognition and analysis:
[1584] The emotion recognition engine analyzes the user's facial expressions and voice and recognizes the user's emotions in real time.
[1585] The acquired emotion data is sent to the server and stored along with the selection.
[1586] 3. Customization Progression:
[1587] The user selects interior, exterior and other settings on the customization screen.
[1588] The terminal displays a preview of the user's selection in real time and transmits the preview to the server in real time.
[1589] The server stores the selections and emotional data in a database and activates an AI module for comprehensive analysis.
[1590] Based on the analysis results, the following recommended customization settings are generated and sent to the device:
[1591] 4. Test drive booking and preparation:
[1592] When customization is complete, the user clicks the "Save" and "Book a Test Drive" buttons.
[1593] The server stores the final customization details and test drive reservation information in a database and instructs the dealer to prepare for the test drive.
[1594] A confirmation email for the test drive reservation will be sent to the user.
[1595] Specific examples
[1596] For example, when a user customizes a vehicle, the following process is carried out.
[1597] When a user changes the seat color or material, the emotion recognition engine recognizes excitement and satisfaction from the user's facial expressions and voice. If the user selects leather seats and smiles while doing so, the emotion recognition engine determines that the user is satisfied with their choice. This information is sent to the server, and the AI module generates the next recommendation (for example, the interior lighting color that matches the leather seats) and presents it to the user.
[1598] When the user wears the smart glasses at a physical store, the selected customization details are displayed on the smart glasses in real time, allowing the user to preview the vehicle on the spot. After customization is complete, the user can make a test drive reservation, and the server instructs the dealer to prepare the test drive vehicle. A test drive reservation confirmation email is sent to the user, and they can visit the dealer at the specified date and time to test drive the customized car.
[1599] Prompt Sentence Examples
[1600] "User ID: 12345, Customizations: Leather seats, red, interior lighting: blue"
[1601] "Please send test drive reservation information to the dealer. User ID: 12345, Test drive date: 2023-10-01"
[1602] This system allows users to easily customize their car to their liking and receive optimal setting recommendations based on emotion recognition, resulting in a more satisfying experience. It also makes it easier for manufacturers and dealers to meet diverse customer needs.
[1603] The flow of the specific processing in the application example 2 will be described with reference to FIG.
[1604] Step 1:
[1605] A user accesses a dedicated website or application using a device and opens the customization screen. The device requests the user's basic information and past customization history from the server. The server then retrieves information from the database and displays recommended settings on the customization screen. The input is the user's account information, and the output is the past customization history and recommended settings.
[1606] Step 2:
[1607] The emotion recognition engine analyzes real-time video and audio data sent from the device to recognize the user's emotions. The server receives the video and audio data as input, analyzes it with the emotion recognition engine, and outputs the user's emotional data. This emotional data is used for subsequent customization suggestions.
[1608] Step 3:
[1609] Each time the user selects an interior or exterior setting on the customization screen, the device transmits the selection to the server in real time. The input is the user's customization selection, and the output is the customization data stored on the server. The device also generates data for previewing the selection in real time and visually displays it to the user.
[1610] Step 4:
[1611] The server stores the user's selections and emotion data in a database and launches an AI module for comprehensive analysis. The AI module receives the customization data and emotion data as input and outputs the next recommended customization settings based on them. This generates the optimal customization proposal for the user and sends it to the device.
[1612] Step 5:
[1613] When a user wears the smart glasses in a physical store, the terminal displays the selected customization content on the smart glasses in real time. The input is the user's customization selection, and the output is a preview image displayed on the smart glasses. The user can check the customization results in real time and make changes as needed.
[1614] Step 6:
[1615] When customization is complete, the user clicks the "Save" and "Book a test drive" buttons. The device sends this operation to the server, which then stores the final customization details and test drive reservation information in a database. The input is the user's final customization details and test drive reservation information, and the output is the data stored in the database and a reservation instruction sent to the dealer.
[1616] Step 7:
[1617] The server sends the test drive reservation information to the dealer and prepares the test drive vehicle. In addition, a confirmation email of the test drive reservation is sent to the user. The input is the test drive reservation information, and the output is preparation instructions for the dealer and a confirmation email to the user. This allows the user to visit the dealer on the specified date and time and actually test drive the customized car.
[1618] 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.
[1619] 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.
[1620] 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.
[1621] 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.
[1622] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.
[1623] 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.
[1624] 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).
[1625] 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.
[1626] 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."
[1627] 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.
[1628] 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).
[1629] 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.
[1630] 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.
[1631] 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.
[1632] 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.
[1633] 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.
[1634] 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.
[1635] 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.
[1636] 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.
[1637] 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.
[1638] 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.
[1639] The following is further disclosed regarding the above embodiment.
[1640] (Claim 1)
[1641] means for providing a customization screen operating on the terminal for a user to customize the interior and exterior of the vehicle;
[1642] a means for saving in real time the customization selected by the user through the customization screen;
[1643] a means including an AI module that analyzes the saved customization content and presents the next recommended customization;
[1644] A means for accepting reservations for test drives of customized vehicles;
[1645] A means for transmitting test drive reservation information to a dealer and preparing a test drive vehicle;
[1646] A system including:
[1647] (Claim 2)
[1648] 10. The system of claim 1, further comprising means for sending a test drive reservation confirmation email to the user.
[1649] (Claim 3)
[1650] 2. The system according to claim 1, further comprising means for acquiring a past customization history of the user from a database and generating a recommended customization based thereon.
[1651] "Example 1"
[1652] (Claim 1)
[1653] means for providing a customization screen operating on the terminal for a user to customize the interior and exterior of the vehicle;
[1654] a means for saving in real time the customization selected by the user through the customization screen;
[1655] a means including an AI module that analyzes the saved customization content and presents the next recommended customization;
[1656] A means for accepting reservations for test drives of customized vehicles;
[1657] a means for transmitting test drive reservation information to a dealer and preparing a test drive vehicle;
[1658] means for displaying recommended customization settings in real time based on user selections;
[1659] A system including:
[1660] (Claim 2)
[1661] 10. The system of claim 1, further comprising means for sending a test drive reservation confirmation to the user.
[1662] (Claim 3)
[1663] The system according to claim 1, further comprising an AI module that retrieves a user's past customization history from a database and generates recommended customizations based thereon.
[1664] "Application Example 1"
[1665] (Claim 1)
[1666] means for providing a customization screen operating on the terminal for a user to customize the interior and exterior of the vehicle;
[1667] a means for saving in real time the customization selected by the user through the customization screen;
[1668] a generative AI model that analyzes the stored customizations and recommends the next customization;
[1669] A means for accepting reservations for test drives of customized vehicles;
[1670] A means for sending test drive reservation information to a person in charge at a physical store and preparing a test drive vehicle;
[1671] A means for transmitting the content customized by the user to a server and sending a test drive car reservation confirmation email based on the content;
[1672] A system including:
[1673] (Claim 2)
[1674] 10. The system of claim 1, further comprising means for sending a test drive reservation confirmation email to the user.
[1675] (Claim 3)
[1676] 2. The system according to claim 1, further comprising means for acquiring a user's past customization history from a database and generating recommended customizations based thereon.
[1677] "Example 2: Combining Emotion Engines"
[1678] (Claim 1)
[1679] means for providing a customization screen operating on the terminal for a user to customize the interior and exterior of the vehicle;
[1680] a means for saving in real time the customization selected by the user through the customization screen;
[1681] A means including a generative AI model that analyzes the saved customization content and the acquired user emotion data and presents the next recommended customization;
[1682] A means for accepting reservations for test drives of customized vehicles;
[1683] a means for transmitting test drive reservation information to the agent and preparing the test drive vehicle;
[1684] A system including:
[1685] (Claim 2)
[1686] 10. The system of claim 1, further comprising means for sending a test drive reservation confirmation email to the user.
[1687] (Claim 3)
[1688] 2. The system according to claim 1, further comprising means for acquiring a past customization history of the user from a database and generating a recommended customization based thereon.
[1689] "Application example 2 when combining emotion engines"
[1690] (Claim 1)
[1691] means for providing a customization screen operating on the terminal for a user to customize the interior and exterior of the vehicle;
[1692] a means for saving in real time the customization selected by the user through the customization screen;
[1693] a means including an AI module that analyzes the saved customization content and presents the next recommended customization;
[1694] means including an emotion recognition engine that recognizes emotions from a user's facial expressions and voice and adjusts recommendation customization based on the emotions;
[1695] A means to customize vehicles in physical stores through smart glasses and preview the customization details in real time;
[1696] A means for accepting reservations for test drives of customized vehicles;
[1697] A means for transmitting test drive reservation information to a dealer and preparing a test drive vehicle;
[1698] A system including:
[1699] (Claim 2)
[1700] 10. The system of claim 1, further comprising means for sending a test drive reservation confirmation email to the user.
[1701] (Claim 3)
[1702] 2. The system according to claim 1, further comprising means for acquiring a past customization history of the user from a database and generating a recommended customization based thereon. [Explanation of symbols]
[1703] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>
Claims
1. means for providing a customization screen operating on the terminal for a user to customize the interior and exterior of the vehicle; a means for saving in real time the customization selected by the user through the customization screen; a means including an AI module that analyzes the saved customization content and presents the next recommended customization; A means for accepting reservations for test drives of customized vehicles; A means for transmitting test drive reservation information to a dealer and preparing a test drive vehicle; A system including:
2. 2. The system of claim 1, further comprising means for sending a test drive reservation confirmation email to the user.
3. 2. The system according to claim 1, further comprising means for acquiring a past customization history of the user from a database and generating a recommended customization based thereon.
Citation Information
Patent Citations
Persona chatbot control method and system
JP2022180282A