System

Abstract

A system is provided.SOLUTION: A means for a user to input profile information by using a terminal, a means for a server to receive the input profile information and transmit a profile generation request to a generation device, a means for the generation device to generate a persona profile based on the received profile information, and a means for the server to collate the persona profile with a resident database; A system comprising: means for collecting relevant segment information; means for generating high-resolution persona information at a generator based on data collected by a server; means for generating an image picture based on the high-resolution persona at the generator; means for generating the persona information and the image picture together in a one shot format at the server; and means for displaying the generated information to a user at a terminal.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] In modern marketing plans and service planning, it is important to define detailed personas of target users. However, traditional persona creation is time-consuming and labor-intensive, and their accuracy is heavily dependent on the knowledge and experience of the person in charge. Furthermore, to differentiate from competitors, higher-resolution user information is required. The purpose of this invention is to solve these issues and provide a system that generates personas and customer journey maps efficiently and accurately. [Means for solving the problem]

[0005] The system of the present invention includes the following means: a means for a user to input profile information using a terminal, a means for a server to receive the input profile information and send a profile generation request to a generation device, a means for the generation device to generate a persona profile based on the received profile information, a means for the server to compare the information with a consumer database and collect relevant segment information, a means for the generation device to generate high-resolution persona information based on the data collected by the server, a means for the generation device to generate an image based on the high-resolution persona, a means for the server to generate persona information and an image together in a one-page format, a means for the terminal to display the generated information to the user, a means for the server to generate the generated persona customer journey map as an SNS share link and provide it to the terminal, a means for the server to provide an advertising space currently being displayed to the user and display the advertisement on the terminal screen, and a means for the server to apply usage restrictions to free users and lift the usage restrictions using a paid option.

[0006] A "User" is an individual or legal entity who accesses the system and acts to enter profile information and generate a persona.

[0007] "Device" means a computer, smartphone, tablet or other device used by a User to enter profile information and view generated personas and customer journey maps.

[0008] A "server" is a computer system that receives information entered by users and performs processes such as creating profiles, collating consumer data, generating persona information, and displaying advertisements.

[0009] "Profile information" is basic information about a user, including data such as age, family structure, occupation, and place of residence.

[0010] A "generator" is an AI or algorithm that works in conjunction with a server to generate persona profiles and image images.

[0011] A "persona profile" is a virtual user's characteristics and attributes that are created by the generator based on input profile information.

[0012] A "consumer database" is a database that accumulates various data (search queries, interest data, etc.) about a large number of users.

[0013] "Segment information" is information about the attributes and behavior of a user group that meets specific conditions.

[0014] A "high-resolution persona" is a detailed and specific image of a virtual user that is generated by integrating basic profiles and consumer data.

[0015] An "image" is an image generated by a generation device to visually represent a high-resolution persona.

[0016] "Peraichi" is a format that compiles persona information and image images on a single page, and is a format that presents information visually.

[0017] The "SNS sharing link" is a link for sharing the generated persona / customer journey map on social networking services.

[0018] An "advertising space" is a space for placing advertisements that are displayed on the terminal screen while using the system.

[0019] "Usage restrictions" means placing restrictions on the number of times and functions that free users can use the system.

[0020] A "chargeable option" is an option that allows a user to pay a fee to remove restrictions on the use of the system and to use additional functions and services. [Brief explanation of the drawings]

[0021] [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

[0022] 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.

[0023] First, the terms used in the following description will be explained.

[0024] 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).

[0025] 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.

[0026] 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.

[0027] 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.

[0028] 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."

[0029] [First embodiment]

[0030] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0031] 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.

[0032] 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).

[0033] 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.

[0034] 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.

[0035] 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.

[0036] 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.

[0037] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0038] 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.

[0039] 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.

[0040] 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.

[0041] 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."

[0042] The system of this invention allows users to easily generate high-resolution persona customer journey maps using their devices. This system achieves highly accurate and efficient persona generation by linking a server, device, generation device, and consumer database.

[0043] Explanation of program processing

[0044] 1. Enter your user profile

[0045] Users use their devices to enter profile information such as age, family structure, occupation, and place of residence, which is then sent from the device to the server.

[0046] 2. Receiving a profile creation request

[0047] The server processes the profile information received from the terminal and sends a profile generation request to the generation device, including the user's age, occupation, family structure, and place of residence as necessary parameters.

[0048] 3. Base profile generation

[0049] The generator generates a base profile for the persona based on the received parameters. This profile includes the input basic information and the generator's inferences (such as personality and hobbies).

[0050] 4. Comparison with consumer data

[0051] The server accesses the consumer database and collects data on target users that match the input segment information, thereby obtaining data such as user search queries and interests.

[0052] 5. High-resolution persona generation

[0053] The server uses a generator to generate high-resolution persona information based on the collected data. By incorporating actual consumer data into this profile, a more specific persona image is formed.

[0054] 6. Image Generation

[0055] The server passes the high-resolution persona information to a generator, which uses AI to generate an image corresponding to the persona, which visually represents the persona's characteristics.

[0056] 7. Create a persona map

[0057] The server compiles the high-resolution persona information and images to generate a one-page persona / customer journey map, which includes a basic profile, analysis results of consumer data, interest data, and images.

[0058] 8. Provision to Users

[0059] The server sends the generated persona and customer journey map to the device and displays it to the user. The user can check detailed persona information through the device. Businesses can also download the map in PDF format.

[0060] 9. Provision of SNS sharing function

[0061] Users can share the generated persona and customer journey map on social media. The server generates a social media sharing link and provides it to the device. Users can share the results using the social media sharing button on their device.

[0062] 10. Advertising

[0063] The server displays advertisements at appropriate positions on the device screen while the system is in use, thereby monetizing the system.

[0064] 11. Usage Limits and Billing Options

[0065] The server limits free users to one use per day, but for businesses, paid options are available to remove this limit and unlock additional features and services.

[0066] Specific examples

[0067] Example 1: A male office worker in his late 20s

[0068] The user (male office worker in his late 20s, married, living in Tokyo) enters information on the device and clicks the send button.

[0069] The server sends this information to the generator and a base profile is generated.

[0070] The server collects data for the same segment from a consumer database, and a generator generates high-resolution persona information.

[0071] An image is generated and a one-page persona and customer journey map is created.

[0072] Users can view the map on their device and share it on social media.

[0073] Example 2: Generating personas tailored to specific business needs

[0074] A company's marketing staff enters information about a specific target user (a woman in her 30s, single, living in an urban area).

[0075] The system generates a profile and matches it with consumer data to create a high-resolution persona.

[0076] Integrate with images to generate detailed customer journey maps.

[0077] The person in charge shares this information within the company and formulates a marketing strategy.

[0078] By using the system of the present invention, it is possible to improve the efficiency and accuracy of the conventional persona creation process. In particular, by utilizing a large amount of user data, it becomes possible to generate high-resolution persona information, which can significantly improve the quality of marketing strategies and service plans.

[0079] The processing flow will be explained below.

[0080] Step 1:

[0081] The user uses the device to input profile information such as age, family structure, occupation, and place of residence, and the device then sends this input information to the server.

[0082] Step 2:

[0083] The server processes the profile information received from the terminal and sends a profile generation request to the generation device, which includes parameters such as the user's age, occupation, family structure, and place of residence.

[0084] Step 3:

[0085] The generator generates a base profile based on the received parameters. This base profile includes the input basic information and the personality and hobbies (e.g., watching movies, visiting cafes) estimated by the generator.

[0086] Step 4:

[0087] The server accesses the consumer database and collects data on target users that match the entered segment information. For example, it extracts search queries and interest data for users who are in their late 20s, male, married, and living in Tokyo.

[0088] Step 5:

[0089] The server combines the collected consumer data with the base profile created by the generator to generate high-resolution persona information, which includes specific search queries (e.g., buying an apartment) and interest data (e.g., finance, outdoors).

[0090] Step 6:

[0091] The server transmits high-resolution persona information to the generation device and sends a request to generate an image based on the information, and the generation device generates an image corresponding to the persona.

[0092] Step 7:

[0093] The server compiles high-resolution persona information and images to generate a persona / customer journey map in a peraichi format, which includes a basic profile, analysis results of consumer data, interest data, and images.

[0094] Step 8:

[0095] The server sends the generated persona and customer journey map to the device and displays it to the user, who can then view detailed persona information on the device.

[0096] Step 9:

[0097] The device provides an SNS sharing button to allow the user to share the generated results on an SNS. The server generates a link for sharing on the SNS and sends it to the device.

[0098] Step 10:

[0099] The server displays advertisements on the terminal screen, and the terminal sets aside an advertisement space on a part of the screen while the user is using the system.

[0100] Step 11:

[0101] The server imposes a one-time-per-day usage limit on free users, but offers businesses the option to remove this limit through a paid option.

[0102] This specific process allows users to efficiently generate high-resolution persona and customer journey maps, and companies can use this information to develop effective marketing strategies and service plans.

[0103] Example 1

[0104] 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."

[0105] Generating personas and customer journey maps in the past required a great deal of effort and time, and it was difficult to reflect consumer data in real time. This resulted in problems that reduced the accuracy of marketing strategies and service planning. There was also a lack of convenient functions for sharing the information generated by users. Furthermore, there were no appropriate methods for monetizing the system or for lifting usage restrictions.

[0106] 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.

[0107] In this invention, the server includes: a means for a user to input profile information using a terminal; a means for the server to receive the input profile information and send a profile generation request to a generation device; a means for the generation device to generate a persona profile based on the received profile information; a means for the server to compare the input profile information with a consumer database and collect relevant segment information; a means for the generation device to generate high-resolution persona information based on the collected data; a means for the generation device to generate an image based on the high-resolution persona; a means for the server to generate a summary of the persona information and the image in a one-page format; a means for the terminal to display the generated information to the user; a means for the user to share the generated persona customer journey map on a social networking site using the terminal; a means for the server to display advertisements on the terminal screen; and a means for the server to set a daily usage limit for free users and lift the usage limit with a paid option. This enables efficient use of large amounts of user data to generate highly accurate persona information in real time, improving the quality of marketing strategies and service planning. It also provides a function for easily sharing the generated information on social networking sites, as well as appropriate monetization and usage limit lifting mechanisms.

[0108] "User" refers to a person who operates a terminal, inputs profile information, and uses the system.

[0109] "Device" refers to the device (e.g., smartphone, computer, tablet) used by a User to enter Profile Information.

[0110] "Profile information" refers to information about a user, such as age, family structure, occupation, and place of residence.

[0111] "Server" refers to a central device that processes profile information received from users and generates persona information in cooperation with a generation device and a consumer database.

[0112] "Generation device" refers to a device or system that generates persona profiles, high-resolution persona information, and images based on profile information sent from the server.

[0113] A "consumer database" refers to a database that stores data about consumers (e.g., search queries, interest data, purchasing history) and that a server accesses and collects the data.

[0114] "Persona profile" refers to a profile that models a user and is generated by a generation device based on profile information.

[0115] "High-resolution persona information" refers to detailed and specific persona information generated based on collected data.

[0116] "Image" refers to a visual representation of a persona that is generated based on high-resolution persona information.

[0117] "One-page format" refers to a format in which the generated persona information and image are compiled on one page.

[0118] A "persona customer journey map" is a map that visualizes a user's customer journey, including persona information, consumer data analysis results, interest data, and image images.

[0119] "SNS sharing link" refers to the link for sharing the generated persona customer journey map on social media.

[0120] "Advertising space" refers to the space for advertisements that is displayed on the terminal screen while using the system.

[0121] "Paid Option" refers to a paid option that removes usage restrictions for free users and enables additional functions and services.

[0122] This invention is a system that allows users to easily generate high-resolution persona customer journey maps using a device. The system achieves efficient and highly accurate persona generation by linking a server, device, generation device, and consumer database.

[0123] First, the user uses a terminal to input their own profile information (such as age, family structure, occupation, and place of residence). This information is sent from the terminal to the server. The server analyzes the received profile information and sends it to the generation device as a profile generation request. At this time, the user's age, occupation, family structure, and place of residence are included as necessary parameters.

[0124] Next, the generator generates a base profile for the persona based on the received parameters. This profile includes the input basic information and the generator's inferences (personality, hobbies, etc.). The server then accesses a consumer database and collects data on target users that match the input segment information. This data includes user search queries and interest data.

[0125] Based on this collected data, the server uses a generator to generate high-resolution persona information. This profile reflects actual consumer data, forming a more specific persona image. The server then passes the high-resolution persona information to the generator, which uses AI to generate an image corresponding to the persona. This image visually represents the persona's characteristics.

[0126] The server then compiles the high-resolution persona information and images to generate a one-page persona / customer journey map. This map includes a basic profile, consumer data analysis results, interest data, and images. Finally, the server sends the generated persona / customer journey map to the device and displays it to the user. The user can view detailed persona information on their device. Businesses are also provided with the option to download the map in PDF format or other formats.

[0127] This system also allows users to share the generated persona and customer journey map on social media. The server generates a social media sharing link and provides it to the device. This allows users to easily share the results using the social media sharing button on their device. The system also monetizes by displaying advertisements in appropriate positions on the device screen while the system is in use. The server limits free users to one use per day, and offers paid options to lift the limit and provide additional features and services to businesses.

[0128] As a specific example, a male office worker in his late twenties enters information on a device, which is then sent to a server that generates a base profile and high-resolution persona information. The server then collects data from a consumer database, generates an image based on the high-resolution persona information, and creates a one-page persona customer journey map. This map can be viewed on the device and can also be shared on social media.

[0129] Examples of prompts to input to a generative AI model include:

[0130] "Generate a persona for a male office worker in his late 20s and create a high-resolution customer journey map. Basic information includes that he is married and lives in Tokyo."

[0131] This makes it possible to efficiently use large amounts of user data to generate highly accurate persona information in real time, improving the quality of marketing strategies and service planning.It also makes it possible to provide a function that allows the generated information to be easily shared on social media, as well as appropriate means of monetization and removal of usage restrictions.

[0132] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0133] Step 1:

[0134] The user uses the device to enter profile information. This input includes age, family structure, occupation, place of residence, etc. For example, the user enters information such as "30 years old, living in Tokyo, married, working for an IT company" and clicks the submit button. This generates the input data and sends it to the server.

[0135] Step 2:

[0136] The server receives the profile information sent from the device. The received data is analyzed in a structured format, including age, occupation, family structure, and place of residence. The server then sends a profile generation request to the generation device based on the analysis results. This request includes the user's basic information.

[0137] Step 3:

[0138] The generator generates a base profile for the persona based on the profile information received from the server. The generator uses an AI model to estimate personality, hobbies, and other attributes from the input basic information, and adds attributes such as "loves the outdoors and is sensitive to technological trends." As a result, a base profile is generated.

[0139] Step 4:

[0140] The server receives the base profile from the generator and accesses the consumer database. It collects data that matches the input segment information (e.g., "30 years old, living in Tokyo, married"). The server executes SQL queries to obtain consumer data such as search queries, interest data, and purchase history. The collected data is stored in a structured format.

[0141] Step 5:

[0142] The server uses a generator to generate high-resolution persona information based on the collected consumer data. The generator adds actual consumer data to the base profile to create a specific persona profile, such as "a 30-year-old male who works for an IT company, loves the outdoors, and is sensitive to technology trends." Because this profile contains detailed information, it is saved in high resolution.

[0143] Step 6:

[0144] The server passes the high-resolution persona information to a generator, which uses AI to generate an image corresponding to the persona. The generator then generates an image to visually express the persona's characteristics, outputting, for example, an image of a person in a suit operating a smartphone. This image is then associated with the high-resolution persona information.

[0145] Step 7:

[0146] The server combines the high-resolution persona information with the image data to generate a one-page persona / customer journey map. This map includes basic profiles, consumer data analysis results, interest data, and image data. The generated map is saved as a PDF document.

[0147] Step 8:

[0148] The server sends the generated persona and customer journey map to the device and displays it to the user. The user can check detailed persona information through the device. A download option (e.g., PDF format) is also provided for businesses.

[0149] Step 9:

[0150] Users can share the generated persona and customer journey map on social media. The server generates a social media sharing link based on the generated map and provides it to the device. Users can easily share the results by clicking the social media sharing button on their device.

[0151] Step 10:

[0152] The server displays advertisements in appropriate locations on the device screen while the system is in use. For example, monetization is achieved by inserting advertisements in the bottom right corner of the persona information screen or in the top banner. The advertisements displayed change dynamically, and content is selected based on the user's interests.

[0153] Step 11:

[0154] The server imposes usage limits on free users. Users who exceed the daily usage limit will see the message "You have reached your daily usage limit." Paid options are available for businesses, allowing them to remove usage limits and gain access to additional features (e.g., advanced analysis functions, data export functions).

[0155] (Application example 1)

[0156] 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."

[0157] In modern logistics centers, appropriate work instructions based on employee profiles and performance data are required to ensure efficient and optimal business execution. However, there is a lack of means to provide optimal work instructions to individual employees in real time, which is an obstacle to improving efficiency and labor productivity. This problem is particularly serious in large logistics centers, and it increases the risk of delays and errors in work instructions.

[0158] 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.

[0159] In this invention, the server includes: means for a user to input profile information using a terminal; means for the server to receive the input profile information and send a profile generation request to a generation device; means for the generation device to generate a persona profile based on the received profile information; means for the server to compare the profile information with a consumer database and collect corresponding segment information; means for the generation device to generate high-resolution persona information based on the collected data; means for the generation device to generate an image based on the high-resolution persona; means for the server to generate the persona information and the image in a one-page format; means for the terminal to display the generated information to the user; means for logistics center staff to input profile information using smart glasses and receive optimal work instructions in real time; and means for the server to generate personas based on staff performance data and provide work instructions to optimize logistics processes, thereby improving the work efficiency and labor productivity of logistics centers.

[0160] "Means for users to enter profile information using a terminal" refers to software or hardware that allows logistics center staff to enter personal information such as their age, job title, and place of residence using a smart device.

[0161] The "means for the server to receive the entered profile information and send a profile generation request to the generation device" refers to an intermediate processing device that receives personal information entered by staff, transfers it to the central management system, and communicates data between the two.

[0162] "Means for generating a persona profile based on profile information received by the generating device" refers to software or hardware for creating a virtualized character model (persona) based on the received personal information of staff members.

[0163] "Means for the server to compare with consumer database and collect relevant segment information" refers to the technology that enables the server to compare staff profiles with existing consumer databases (e.g., social statistical data) and extract relevant information.

[0164] "Means for generating high-resolution persona information using a generation device based on data collected by a server" refers to technology that generates more specific and comprehensive persona information based on detailed consumer data collected by a server.

[0165] "Means by which a generating device generates an image based on a high-resolution persona" refers to technology or software for creating a visually easy-to-understand image based on the generated highly accurate persona information.

[0166] "Means for the server to generate persona information and image images in a single, comprehensive report format" refers to a technology for compiling the generated persona information and image images into a single, comprehensive report format (a single, comprehensive format).

[0167] The "means for displaying the generated information to the user by the terminal" refers to an interface for displaying the generated persona information and image on the staff member's smart device.

[0168] "A means for logistics center staff to use smart glasses to input profile information and receive optimal work instructions in real time" refers to a function or device that allows staff to input personal information through smart glasses worn by staff and receive appropriate work instructions in real time while working.

[0169] "Means for the server to generate personas based on staff performance data and provide work instructions in order to optimize logistics processes" refers to a technology in which the server analyzes staff work history and efficiency data to create the most suitable person model, and then automatically provides optimal work instructions based on that.

[0170] This invention relates to a system for improving work efficiency and labor productivity at logistics centers. Specifically, it is a system that uses smart devices to input, receive, and process staff profile information in real time, and provides work instructions based on the optimal persona profile.

[0171] Hardware and software used

[0172] 1. Hardware

[0173] Smart glasses: worn by staff and used to input personal information and receive real-time work instructions (e.g., Google Glass, Vuzix).

[0174] Device: Used to enter profile information and view persona information (e.g., smartphone, tablet).

[0175] 2. Software

[0176] Server: A system for aggregating, processing, and responding to data. Examples include web frameworks such as Django and Flask.

[0177] Database: Used to store profile information, consumer data, and work performance data (e.g., PostgreSQL).

[0178] AI model: Used for persona and image generation, for example, using machine learning libraries such as TensorFlow.

[0179] Process Overview

[0180] 1. Enter your user profile

[0181] Users (logistics center staff) use smart glasses to input their profile information, which is then sent to the server.

[0182] 2. Processing a Profile Creation Request

[0183] The server sends a profile generation request to the generator based on the received profile information, and the generator generates a persona profile based on the received parameters.

[0184] 3. Comparison with consumer data

[0185] The server accesses the consumer database and collects additional data corresponding to the entered segment information, generating a detailed persona profile that reflects the user's performance data.

[0186] 4. Generate high-resolution personas and images

[0187] The generator generates visually easy-to-understand images based on the high-resolution persona profile, and then compiles this information in a peraichi format and sends it to the server.

[0188] 5. Providing real-time work instructions

[0189] The server displays the generated persona information and corresponding work instructions on the terminal (smart glasses), allowing staff to receive optimal work instructions in real time.

[0190] Specific examples

[0191] 1. Improved staff efficiency

[0192] A staff member puts on the smart glasses and enters their profile information (age, job title, place of residence, etc.). The information is sent to a server, and a persona profile is generated by a generator. The server compares this information with consumer data and generates a high-resolution persona and image. Finally, the smart glasses display optimal work instructions in real time.

[0193] 2. Process optimization by managers

[0194] Managers can generate personas based on each staff member's performance data to provide optimal work instructions, thereby improving the work efficiency of the entire logistics center.

[0195] Example prompts for generative AI models

[0196] "Generate optimal work instructions based on performance data for a male in his 30s who works at a logistics center, is married, and lives in an urban area."

[0197] These processes and functions enable the system of the present invention to improve operational efficiency throughout the distribution center and optimize staff performance.

[0198] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0199] Step 1:

[0200] The user enters profile information using the device

[0201] Specific operation: A user who is a staff member at a logistics center uses smart glasses to input his / her profile information (e.g., age, job title, place of residence, etc.), and the input data is sent from the terminal to the server.

[0202] Input: Staff profile information

[0203] Output: Profile data sent to the server

[0204] Step 2:

[0205] The server receives the input profile information and sends a profile generation request to the generation device.

[0206] Specific operations: The server receives the profile information sent by the user and sends a profile generation request to the generation device based on this information.

[0207] Input: Profile data sent from the device

[0208] Output: Profile generation request to the generator

[0209] Step 3:

[0210] A generator generates a persona profile based on the received profile information.

[0211] How it works: The generator generates a basic persona profile based on the received profile information, using a generative AI model.

[0212] Input: Profile data to the generator

[0213] Output: Basic persona profile

[0214] Step 4:

[0215] The server compares the data with the consumer database and collects relevant segment information.

[0216] Specific operation: Based on the generated basic persona profile, the server compares it with a consumer database and collects additional relevant data (e.g., behavioral patterns, consumption trends, etc.).

[0217] Input: Basic persona profile

[0218] Output: Additional data collected

[0219] Step 5:

[0220] The server generates high-resolution persona information using a generator based on the collected data.

[0221] How it works: The server sends the additional data it has collected to the generator, which generates high-resolution persona information, again using the generative AI model.

[0222] Input: Additional data collected

[0223] Output: High-resolution persona information

[0224] Step 6:

[0225] The generator generates an image based on the high-resolution persona.

[0226] How it works: The generator generates visually easy-to-understand images based on high-resolution persona information. An AI model is used to generate the images.

[0227] Input: High-resolution persona information

[0228] Output: Image

[0229] Step 7:

[0230] The server generates persona information and images in a single format.

[0231] Specific operation: The server receives high-resolution persona information and images and generates a persona customer journey map in a one-page format.

[0232] Input: High-resolution persona information and image

[0233] Output: Persona and customer journey map

[0234] Step 8:

[0235] Displaying device-generated information to the user

[0236] Specific operation: The device displays the generated persona and customer journey map in a one-page format to the user, who can then receive optimal work instructions in real time through the smart glasses.

[0237] Input: Persona & Customer Journey Map

[0238] Output: Display and work instructions for the user

[0239] Step 9:

[0240] The server generates personas based on staff performance data and provides work instructions to optimize logistics processes.

[0241] Specific operation: The server analyzes the performance data of staff members, generates the most suitable persona, and then provides the most suitable work instructions based on the generated persona in real time.

[0242] Input: Staff performance data

[0243] Output: Optimal work instructions

[0244] 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.

[0245] The system of the present invention allows users to easily generate high-resolution personas and customer journey maps using their devices. Furthermore, the system incorporates an emotion engine that recognizes the user's emotions, enabling the generation of more detailed and personalized personas using the user's emotional information. The program's processing is described in detail below.

[0246] Explanation of program processing

[0247] 1. Enter your user profile

[0248] The user uses the device to enter profile information such as age, family structure, occupation, place of residence, etc. The entered information is sent from the device to the server.

[0249] 2. Receiving a profile creation request

[0250] The server processes the profile information received from the terminal and sends a profile generation request to the generator, which includes parameters such as the user's age, occupation, family structure, and place of residence.

[0251] 3. Collecting emotional information using an emotion engine

[0252] The emotion engine analyzes the user's facial expressions and behavior and sends the emotional information to the server. The emotion engine uses a camera and microphone to detect the user's smile and tone of voice.

[0253] 4. Base profile generation

[0254] The generator generates a base profile based on the received profile information and emotion information. This profile includes the input basic information and the personality and hobbies estimated by the generator.

[0255] 5. Comparison with consumer data

[0256] The server accesses the consumer database and collects data on target users that match the entered segment information. For example, it extracts search queries and interest data for users who are in their late 20s, male, married, and living in Tokyo.

[0257] 6. High-resolution persona generation

[0258] The server combines the collected consumer data with the base profile and emotional information created by the generator to generate high-resolution persona information, which includes specific search queries and interest data.

[0259] 7. Image Generation

[0260] The server sends high-resolution persona information to a generator and sends a request to generate an image that also takes emotional information into account. The generator then generates an image that reflects the visual characteristics of the persona.

[0261] 8. Create a persona map

[0262] The server compiles the high-resolution persona information and images to generate a one-page persona / customer journey map, which includes a basic profile, analysis results of consumer data, interest data, and images.

[0263] 9. Provision to Users

[0264] The server sends the generated persona and customer journey map to the device and displays it to the user, who can then view detailed persona information on the device.

[0265] 10. Provision of SNS sharing function

[0266] The device provides an SNS sharing button to allow the user to share the generated results on an SNS. The server generates a link for sharing on the SNS and sends it to the device.

[0267] 11. Advertising

[0268] The server displays advertisements on the terminal screen, and the terminal sets aside an advertisement space on a part of the screen while the user is using the system.

[0269] 12. Usage Limits and Billing Options

[0270] The server imposes a one-time-per-day usage limit on free users, but offers businesses the option to remove this limit through a paid option.

[0271] By using this system, personas and customer journey maps can be generated efficiently, allowing users and companies to obtain highly accurate and personalized marketing data.

[0272] Specific examples

[0273] Example 1: A male office worker in his late 20s

[0274] The user (male office worker in his late 20s, married, living in Tokyo) enters information into the device, and the emotion engine analyzes the user's facial expressions.

[0275] The server sends the information to a generator and a base profile is generated.

[0276] The server collects data for the same segment from a consumer database, and a generator generates high-resolution persona information.

[0277] An image is generated and a one-page persona and customer journey map is created.

[0278] Users can view the map on their device and share it on social media.

[0279] Example 2: Generating personas tailored to specific business needs

[0280] A company's marketing staff enters information about a specific target user (a woman in her 30s, single, living in an urban area), and the emotion engine recognizes the user's emotions.

[0281] The system generates a profile and matches it with consumer data to create a high-resolution persona.

[0282] Integrate with images to generate detailed customer journey maps.

[0283] The person in charge shares this information within the company and formulates a marketing strategy.

[0284] By using the system of this invention, it is possible to significantly improve the quality of formulating new marketing strategies and service planning. By combining it with an emotion engine, it becomes possible to generate personalized personas according to the user's emotional state, leading to more effective marketing measures.

[0285] The processing flow will be explained below.

[0286] Step 1:

[0287] The user uses the device to input profile information such as age, family structure, occupation, and place of residence, and the device then sends this input information to the server.

[0288] Step 2:

[0289] The server processes the profile information received from the terminal and sends a profile generation request to the generation device, which includes parameters such as the user's age, occupation, family structure, and place of residence.

[0290] Step 3:

[0291] The emotion engine analyzes the user's facial expressions and tone of voice and sends the emotion information to the server. The emotion engine detects the user's emotional state using the screen camera and microphone.

[0292] Step 4:

[0293] The generator generates a base profile based on the received profile information and emotion information. This base profile includes the input basic information and the personality and hobbies estimated by the generator.

[0294] Step 5:

[0295] The server accesses the consumer database and collects data on target users that match the entered segment information. The server then extracts search queries and interest data for users who match the conditions.

[0296] Step 6:

[0297] The server combines the collected consumer data with the base profile and emotional information created by the generator to generate high-resolution persona information, including specific search queries and interest data.

[0298] Step 7:

[0299] The server sends high-resolution persona information to the generator and sends a request to generate an image that also takes emotion information into consideration. The generator then creates an image based on the high-resolution persona.

[0300] Step 8:

[0301] The server combines the high-resolution persona information with the image data to generate a one-page persona / customer journey map, which includes a basic profile, analysis results of consumer data, interest data, and image data.

[0302] Step 9:

[0303] The server sends the generated persona and customer journey map to the device and displays it to the user, who can then view detailed persona information on the device.

[0304] Step 10:

[0305] The device provides a social media sharing button, allowing the user to share the generated persona and customer journey map on social media. The server generates a social media sharing link and sends it to the device.

[0306] Step 11:

[0307] The server displays advertisements on the terminal screen, and when the user uses the system, the terminal sets up an advertisement frame in an appropriate position on the screen.

[0308] Step 12:

[0309] The server imposes a one-time-per-day usage limit on free users, but offers businesses the option to remove this limit through a paid option.

[0310] Specific examples

[0311] Example 1: Use in sales promotion

[0312] A male office worker in his late twenties uses a persona generation system that uses an emotion engine.

[0313] Step 1: The user enters "late 20s, male, office worker, married, living in Tokyo" into the device and submits.

[0314] Step 2: The server receives the information.

[0315] Step 3: The emotion engine detects the user's emotion using the camera and microphone and sends the emotional state (e.g., joy) to the server.

[0316] Step 4: The generator generates a base profile based on the basic profile and emotion information.

[0317] Step 5: The server collects data that matches the conditions from the consumer database.

[0318] Step 6: The server integrates the collected data with the base profile and emotional information to generate high-resolution persona information.

[0319] Step 7: The generator generates an image based on the high-resolution persona and emotion information.

[0320] Step 8: The server compiles the generated information into a Peraichi map.

[0321] Step 9: The server sends the Peraichi map to the terminal.

[0322] Step 10: Users share their persona map using the social media sharing buttons.

[0323] Step 11: The server displays the advertisement on the device screen.

[0324] Step 12: The server limits free users to one use per day and offers paid options for businesses.

[0325] Example 2: Use in marketing analysis

[0326] A company's marketing manager creates a persona for the target user (a woman in her 30s, single, living in an urban area).

[0327] Step 1: The person in charge enters the target information into the terminal.

[0328] Step 2: The server receives the information.

[0329] Step 3: The emotion engine analyzes the emotional state and sends it to the server.

[0330] Step 4: The generator generates the base profile.

[0331] Step 5: The server collects the relevant data from the consumer database.

[0332] Step 6: Integrate collected data and emotional information to generate high-resolution personas.

[0333] Step 7: The generator generates an image based on the persona information.

[0334] Step 8: The server creates a Peraichi map.

[0335] Step 9: The server sends the map to the operator's device.

[0336] Step 10: The person in charge shares on social media.

[0337] Step 11: The server displays the advertisement on the screen.

[0338] Step 12: Remove usage restrictions with paid options.

[0339] By using this invention, it is possible to dramatically improve the accuracy of marketing strategies and service planning, and by incorporating an emotion engine, it becomes possible to generate personalized personas according to the user's emotions.

[0340] Example 2

[0341] 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."

[0342] Rather than simply inputting profile information, there is a need to generate personalized persona profiles that take into account the user's emotional state. There is also a need for a means for users to easily view and share the generated persona profiles. Furthermore, there is a need for an effective method for generating advertising revenue.

[0343] 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.

[0344] In this invention, the server includes: means for a user to input profile information using a terminal; means for the server to receive the input profile information and send a profile generation request to a generation device; means for the generation device to generate a persona profile based on the received profile information; means for the server to compare the profile information with consumer data and collect corresponding segment information; means for the generation device to generate high-resolution persona information based on the collected data; means for the generation device to generate images based on the high-resolution persona; means for an emotion engine to analyze the user's facial expressions and tone of voice and send the emotion information to the server; means for the server to collect the emotion information and generate a more detailed persona profile based on the emotion information; means for the server to generate the persona information and images in a one-page format; and means for the terminal to display the generated information to the user. This enables the generation of a detailed and personalized persona profile that incorporates the user's emotion information, thereby realizing a system that allows users to easily view and share information while improving the effectiveness of advertising displays.

[0345] A "user" is an entity that uses the system and inputs profile information and emotional information.

[0346] A "terminal" is a device that allows a user to input profile information and emotional information and view the generated information, and generally refers to a computer or smartphone.

[0347] "Profile information" refers to basic personal information such as age, occupation, family composition, and place of residence entered by the user.

[0348] The "server" is a central processing unit that processes profile information and emotion information received from users and sends requests to the generation device.

[0349] The "generation device" is a device that generates a persona profile and an image based on the profile information and emotional information sent from the server.

[0350] A "persona profile" is data that represents a detailed image of a user, including their personality and hobbies, generated based on their basic profile information and emotional information.

[0351] "Consumer data" is a database of consumer behavior and interests, and is used for advertising and marketing purposes.

[0352] "High-resolution persona information" is a detailed and personalized persona profile generated based on integrated consumer data and emotional information.

[0353] An "image" is an image that reflects the visual characteristics of a persona, generated based on high-resolution persona information.

[0354] The "peraichi format" is a document or data format that compiles persona information and images in a concise, easy-to-understand format.

[0355] The "emotion engine" is a system that uses a camera and microphone to analyze a user's facial expressions and tone of voice to extract emotional information.

[0356] "Emotion information" is data on the user's emotional state based on facial expressions and tone of voice, obtained by the emotion engine.

[0357] The "SNS sharing link" is a link for sharing the generated persona / customer journey map on social media.

[0358] "Advertising space" refers to the area in which advertisements are displayed when a user is viewing information on a terminal.

[0359] The system of this invention allows users to easily generate high-resolution persona and customer journey maps using their devices. Furthermore, by utilizing an emotion engine, it is possible to generate detailed and personalized persona profiles that include the user's emotional information.

[0360] System configuration and hardware / software used

[0361] The system consists of the following major components:

[0362] 1. Terminal

[0363] The user inputs profile information using a device (computer or smartphone) and acquires emotional information.

[0364] 2. Server

[0365] It processes the profile information and emotion information received from the user and sends a request to the generation device.

[0366] The necessary data is collected by comparing it with a consumer database.

[0367] 3. Generator

[0368] A persona profile and image are generated based on the profile information and emotional information sent from the server.

[0369] 4. Emotion Engine

[0370] Using a camera and microphone, the system analyzes the user's facial expressions and tone of voice to extract emotional information.

[0371] 5. Consumer Database

[0372] It is a database that stores data on consumer behavior and interests.

[0373] Data processing and calculation

[0374] The data processing and calculation flow of this system is shown below.

[0375] 1. Enter your user profile

[0376] The user uses the terminal to enter profile information such as age, occupation, family composition, place of residence, etc. The entered information is sent from the terminal to the server.

[0377] 2. Collecting emotional information

[0378] The user enables the camera and microphone, and the emotion engine analyzes the user's facial expressions and tone of voice. The extracted emotion information is sent to the server.

[0379] 3. Generate a persona profile

[0380] The server transmits the received profile information and emotion information to the generation device, which then generates a base profile based on these.

[0381] 4. Comparison with consumer data

[0382] The server accesses the consumer database and collects data that matches the input information.

[0383] 5. Generate high-resolution personas

[0384] The server integrates the collected consumer data and emotional information, and a generation device generates high-resolution persona information.

[0385] 6. Image Generation

[0386] The generating device generates an image based on the high-resolution persona information and transmits it to the server.

[0387] 7. Creating personas and customer journey maps

[0388] The server compiles high-resolution persona information and images to generate a one-page persona / customer journey map, which is then sent to the device and displayed to the user.

[0389] Specific examples

[0390] Example 1: A male office worker in his late 20s

[0391] The user (male office worker in his late 20s, married, living in Tokyo) inputs information into the device, and the emotion engine analyzes the user's facial expressions and sends the emotional information to the server.

[0392] The server sends the received information to a generator, which generates a base profile.

[0393] The server collects data for the same segment from a consumer database, and a generator generates high-resolution persona information.

[0394] An image is generated and a one-page persona and customer journey map is created.

[0395] Users can view the map on their device and share it on social media.

[0396] Example 2: Generating personas tailored to specific business needs

[0397] A company's marketing staff enters information about a specific target user (a woman in her 30s, single, living in an urban area), and the emotion engine recognizes the user's emotions and sends them to the server.

[0398] The server sends the profile to a generator, which matches it with consumer data to create a high-resolution persona.

[0399] A generator generates images and integrates them to generate a detailed customer journey map.

[0400] The person in charge shares this information internally and formulates a marketing strategy.

[0401] Example prompts for generative AI models

[0402] Example prompt 1:

[0403] Please create a persona and customer journey map that can be easily understood by a married male office worker in his late 20s. The map should include detailed analysis results along with images that reflect the user's occupation, age, family structure, place of residence, and emotional information.

[0404] Example prompt 2:

[0405] Create a high-resolution persona and customer journey map for a single woman in her 30s living in an urban area. Based on the target's profile information, generate detailed persona information that integrates consumer data and emotional information, and include images.

[0406] By using such a system, users and companies can quickly obtain highly accurate and personalized marketing data, improving the quality of new marketing strategies and service plans.The use of an emotion engine makes it possible to implement detailed marketing measures that correspond to the user's emotional state.

[0407] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0408] Step 1:

[0409] The user enters profile information on the device. The user opens the application, enters the required profile information such as age, occupation, family composition, and place of residence into the form, and clicks the submit button. The entered profile information is sent from the device to the server. This entered information is used in subsequent processing.

[0410] Step 2:

[0411] The server processes the profile information received from the device, analyzes and formats the information, and sends a profile generation request to the generator, which includes parameters such as the user's age, occupation, family composition, and place of residence.

[0412] Step 3:

[0413] The emotion engine collects the user's emotional information. The user enables the camera and microphone, and the device uses them to detect facial expressions and tone of voice. The emotion engine analyzes this data and extracts the user's emotional information. This extracted emotional information is sent from the device to the server.

[0414] Step 4:

[0415] The server processes the received emotion information and sends it to the generator, which then sends the emotion information along with the profile information to the generator and sends a base profile generation request, which includes the user's basic profile information and emotion information.

[0416] Step 5:

[0417] The generating device generates a base profile. Based on the received profile information and emotion information, the generating device creates a base profile. This profile includes basic profile information and personality and hobbies estimated by the generating device. The generated base profile is sent to the server.

[0418] Step 6:

[0419] The server accesses the consumer database and collates consumer data. The server searches the database for consumer data that matches the conditions of the base profile, and collects target data that matches the conditions, for example, "late 20s, male, married, residing in Tokyo." This collected data is then stored on the server.

[0420] Step 7:

[0421] The server generates high-resolution persona information by integrating the collected consumer data with the generated base profile and sentiment information. This integrated profile includes specific search queries and interest data.

[0422] Step 8:

[0423] The server sends an image generation request to the generation device. The generation device receives the request to generate an image based on high-resolution persona information, taking into account emotional information. The generated image is sent to the server.

[0424] Step 9:

[0425] The server generates a one-page persona and customer journey map. High-resolution persona information and images are compiled and the server creates a one-page customer journey map. This map includes a basic profile, analysis results of consumer data, interest data, and images.

[0426] Step 10:

[0427] The server sends the generated persona and customer journey map to the device, where the user can view detailed persona information. The map is presented in an easy-to-use interface to help users understand.

[0428] Step 11:

[0429] The device provides a social media sharing button. When the user clicks the share button, the server generates a social media sharing link and sends it to the device. This sharing link allows the user to easily share the generated persona and customer journey map on social media.

[0430] Step 12:

[0431] The server displays advertisements on the terminal screen. While the user is using the system, an advertising space is set aside on the terminal screen and relevant advertisements are displayed there. This allows the user to earn advertising revenue while using the system.

[0432] Step 13:

[0433] The server provides usage limits and billing options. Free users are limited to one use per day, but businesses can purchase billing options to remove this limit. Businesses can purchase billing options to increase usage frequency.

[0434] (Application example 2)

[0435] 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."

[0436] Conventional persona generation systems were unable to fully incorporate user emotional information, resulting in insufficient personalization for individual customers. Furthermore, in brick-and-mortar stores, it was difficult to grasp customer profile information and emotions in real time, making it difficult to provide appropriate customer service and marketing responses.

[0437] The identification process by the identification 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 a user to input profile information using a terminal; means for the server to receive the input profile information and send a profile generation request to the generation device; means for the generation device to generate a persona profile based on the received profile information; means for the server to compare the data with a consumer database and collect corresponding segment information; means for the generation device to generate high-resolution persona information based on the data collected by the server; means for the generation device to generate an image based on the high-resolution persona; means for the server to generate persona information and an image in a one-page format; means for the terminal to display the generated information to the user; and means for displaying customer emotion information and profile information in real time using smart glasses or a head-mounted display. This enables high-resolution personalized persona information to be acquired and displayed in real time even in physical stores, enabling more effective customer service and marketing initiatives.

[0438] A "terminal" is a device used by a user to enter information and view results.

[0439] A "server" is a computer system that receives input information from a user, performs the necessary processing and checks it against a database, and sends instructions to the generation device.

[0440] A "generation device" is a system that generates profile and persona information based on a request from a server.

[0441] "Profile information" is information such as age, occupation, family structure, and place of residence entered by the user.

[0442] A "persona profile" is a user model that is generated by a generation device based on profile information.

[0443] A "consumer database" is a database that accumulates data on consumers' hobbies, preferences, and behavior.

[0444] "High-resolution persona information" refers to detailed user models and profiles that are generated based on data collected by the server.

[0445] An "image image" is an image that reflects visual features generated by a generation device based on high-resolution persona information.

[0446] "One-page format" is a format in which information is summarized on one page.

[0447] "Smart glasses" are devices that can display information to a user's field of vision when worn by the user.

[0448] A "head-mounted display" is a display device that is worn on the user's head.

[0449] "Emotional information" refers to the user's emotional state, which is analyzed from the user's facial expression, tone of voice, and so on.

[0450] The system of this invention is a method for users to generate high-resolution persona and customer journey maps via their devices. Furthermore, by incorporating an emotion engine, it is possible to utilize the user's emotional information to generate more detailed and personalized personas. The specific configuration and operating procedures of this system are described below.

[0451] Hardware and software used

[0452] Hardware

[0453] Device: A smartphone or tablet where users enter information.

[0454] Smart glasses: A device for displaying customer information and sentiment information in real time.

[0455] Head-mounted display: Used to display customer information and emotional information in real time.

[0456] software

[0457] OpenCV: Image processing library. Used for face detection and facial expression analysis.

[0458] Dlib: A machine learning library used for face detection and emotion recognition.

[0459] EmotionRecognizer: A custom model for predicting emotions from facial images.

[0460] ProfileGenerator: A custom class that generates estimated profile information.

[0461] System operation procedures

[0462] 1. Enter your profile information

[0463] The user uses a device to enter profile information such as age, occupation, family composition, and place of residence, which creates a basic database of the persona.

[0464] 2. Submit a profile creation request

[0465] The server receives the profile information input from the terminal and sends a profile generation request to the generation device based on the received profile information.

[0466] 3. Collecting emotional information

[0467] The emotion engine analyzes the user's facial expressions, tone of voice, etc. and sends emotional information to the server. The emotion engine uses the camera and microphone.

[0468] 4. Generate a base profile

[0469] The generator integrates the received profile information and emotional information to generate a base profile, which includes the input data and analyzed personality and hobbies.

[0470] 5. Comparison with consumer database

[0471] The server accesses the consumer database and collects data that matches the input segment information.

[0472] 6. Generate high-resolution personas

[0473] Based on the collected data and base profile, the generator generates high-resolution persona information.

[0474] 7. Use persona information

[0475] Using smart glasses and head-mounted displays, the behavior and facial expressions of customers in the store are analyzed in real time and displayed to store staff.

[0476] Specific examples

[0477] For example, when smart glasses are used in a physical store, the glasses worn by the store clerk will display customer profile information and emotional information in real time. If a customer shows interest in a particular product, detailed information related to that product will be displayed, allowing the store clerk to provide appropriate customer service.

[0478] Prompt Sentence Examples

[0479] An example of a prompt sentence might be:

[0480] Write a Python code for glasses that will recognize customers' faces and their emotions in real time and generate a profile based on their past visit history.

[0481] Based on this invention, it will be possible to improve customer service in physical stores and increase the accuracy of marketing strategies.

[0482] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0483] Step 1:

[0484] The user uses a terminal to input profile information. The user enters information such as age, occupation, family structure, and place of residence into an input form on the terminal. This becomes the initial input data to the system. The input profile information includes the user's basic demographic information.

[0485] input:

[0486] User's age, occupation, family structure, place of residence

[0487] output:

[0488] Profile Information Data

[0489] Step 2:

[0490] The terminal sends the entered profile information to the server, which receives this data and prepares it to send a profile generation request to the generator, which defines the request structure and sends it to the generator with the necessary information.

[0491] input:

[0492] Profile Information Data

[0493] output:

[0494] Profile Generation Request

[0495] Step 3:

[0496] The emotion engine is activated and analyzes the user's facial expressions and tone of voice. The emotion engine uses a camera and microphone to capture the user's facial expressions and voice in real time, and extracts emotional information using expression analysis algorithms and voice analysis algorithms.

[0497] input:

[0498] Camera footage, audio data

[0499] output:

[0500] Emotional information data

[0501] Step 4:

[0502] The generation device integrates the received profile information and emotion information to generate a base profile. Based on the profile information and emotion information, the generation device uses an automated algorithm to estimate attributes related to the user's personality and hobbies.

[0503] input:

[0504] Profile information data, emotional information data

[0505] output:

[0506] Base Profile Data

[0507] Step 5:

[0508] The server accesses a consumer database to collect data that matches the entered segment information, including behavioral and interest data of other users with similar profiles.

[0509] input:

[0510] Base Profile Data

[0511] output:

[0512] Consumer Data

[0513] Step 6:

[0514] The generator generates high-resolution persona information based on consumer data and base profiles obtained from the server, and uses advanced AI algorithms to create a detailed persona model.

[0515] input:

[0516] Consumer data, base profile data

[0517] output:

[0518] High-resolution persona information

[0519] Step 7:

[0520] A generator generates images based on the high-resolution persona information, the images reflecting visual characteristics for the persona and providing a visual profile.

[0521] input:

[0522] High-resolution persona information

[0523] output:

[0524] Image

[0525] Step 8:

[0526] The server generates high-resolution persona information and images in a single, unified format, and then converts this data into a single, integrated document that can be easily viewed by users.

[0527] input:

[0528] High-resolution persona information and images

[0529] output:

[0530] Persona Customer Journey Map

[0531] Step 9:

[0532] The device displays the persona and customer journey map retrieved from the server to the user, who can then view detailed persona information on the device screen.

[0533] input:

[0534] Persona Customer Journey Map

[0535] output:

[0536] Screen display

[0537] Step 10:

[0538] Smart glasses or head-mounted displays are used to display customers' emotional and profile information in real time, allowing store staff to respond to customers quickly and effectively.

[0539] input:

[0540] High-resolution persona information, emotional information

[0541] output:

[0542] Real-time information displayed on glasses or displays

[0543] 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.

[0544] 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.

[0545] 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.

[0546] [Second embodiment]

[0547] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0548] 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.

[0549] 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).

[0550] 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.

[0551] 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.

[0552] 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).

[0553] 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.

[0554] 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.

[0555] 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.

[0556] 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.

[0557] 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.

[0558] 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."

[0559] The system of this invention allows users to easily generate high-resolution persona customer journey maps using their devices. This system achieves highly accurate and efficient persona generation by linking a server, device, generation device, and consumer database.

[0560] Explanation of program processing

[0561] 1. Enter your user profile

[0562] Users use their devices to enter profile information such as age, family structure, occupation, and place of residence, which is then sent from the device to the server.

[0563] 2. Receiving a profile creation request

[0564] The server processes the profile information received from the terminal and sends a profile generation request to the generation device, including the user's age, occupation, family structure, and place of residence as necessary parameters.

[0565] 3. Base profile generation

[0566] The generator generates a base profile for the persona based on the received parameters. This profile includes the input basic information and the generator's inferences (such as personality and hobbies).

[0567] 4. Comparison with consumer data

[0568] The server accesses the consumer database and collects data on target users that match the input segment information, thereby obtaining data such as user search queries and interests.

[0569] 5. High-resolution persona generation

[0570] The server uses a generator to generate high-resolution persona information based on the collected data. By incorporating actual consumer data into this profile, a more specific persona image is formed.

[0571] 6. Image Generation

[0572] The server passes the high-resolution persona information to a generator, which uses AI to generate an image corresponding to the persona, which visually represents the persona's characteristics.

[0573] 7. Create a persona map

[0574] The server compiles the high-resolution persona information and images to generate a one-page persona / customer journey map, which includes a basic profile, analysis results of consumer data, interest data, and images.

[0575] 8. Provision to Users

[0576] The server sends the generated persona and customer journey map to the device and displays it to the user. The user can check detailed persona information through the device. Businesses can also download the map in PDF format.

[0577] 9. Provision of SNS sharing function

[0578] Users can share the generated persona and customer journey map on social media. The server generates a social media sharing link and provides it to the device. Users can share the results using the social media sharing button on their device.

[0579] 10. Advertising

[0580] The server displays advertisements at appropriate positions on the device screen while the system is in use, thereby monetizing the system.

[0581] 11. Usage Limits and Billing Options

[0582] The server limits free users to one use per day, but for businesses, paid options are available to remove this limit and unlock additional features and services.

[0583] Specific examples

[0584] Example 1: A male office worker in his late 20s

[0585] The user (male office worker in his late 20s, married, living in Tokyo) enters information on the device and clicks the send button.

[0586] The server sends this information to the generator and a base profile is generated.

[0587] The server collects data for the same segment from a consumer database, and a generator generates high-resolution persona information.

[0588] An image is generated and a one-page persona and customer journey map is created.

[0589] Users can view the map on their device and share it on social media.

[0590] Example 2: Generating personas tailored to specific business needs

[0591] A company's marketing staff enters information about a specific target user (a woman in her 30s, single, living in an urban area).

[0592] The system generates a profile and matches it with consumer data to create a high-resolution persona.

[0593] Integrate with images to generate detailed customer journey maps.

[0594] The person in charge shares this information within the company and formulates a marketing strategy.

[0595] By using the system of the present invention, it is possible to improve the efficiency and accuracy of the conventional persona creation process. In particular, by utilizing a large amount of user data, it becomes possible to generate high-resolution persona information, which can significantly improve the quality of marketing strategies and service plans.

[0596] The processing flow will be explained below.

[0597] Step 1:

[0598] The user uses the device to input profile information such as age, family structure, occupation, and place of residence, and the device then sends this input information to the server.

[0599] Step 2:

[0600] The server processes the profile information received from the terminal and sends a profile generation request to the generation device, which includes parameters such as the user's age, occupation, family structure, and place of residence.

[0601] Step 3:

[0602] The generator generates a base profile based on the received parameters. This base profile includes the input basic information and the personality and hobbies (e.g., watching movies, visiting cafes) estimated by the generator.

[0603] Step 4:

[0604] The server accesses the consumer database and collects data on target users that match the entered segment information. For example, it extracts search queries and interest data for users who are in their late 20s, male, married, and living in Tokyo.

[0605] Step 5:

[0606] The server combines the collected consumer data with the base profile created by the generator to generate high-resolution persona information, which includes specific search queries (e.g., buying an apartment) and interest data (e.g., finance, outdoors).

[0607] Step 6:

[0608] The server transmits high-resolution persona information to the generation device and sends a request to generate an image based on the information, and the generation device generates an image corresponding to the persona.

[0609] Step 7:

[0610] The server compiles high-resolution persona information and images to generate a persona / customer journey map in a peraichi format, which includes a basic profile, analysis results of consumer data, interest data, and images.

[0611] Step 8:

[0612] The server sends the generated persona and customer journey map to the device and displays it to the user, who can then view detailed persona information on the device.

[0613] Step 9:

[0614] The device provides an SNS sharing button to allow the user to share the generated results on an SNS. The server generates a link for sharing on the SNS and sends it to the device.

[0615] Step 10:

[0616] The server displays advertisements on the terminal screen, and the terminal sets aside an advertisement space on a part of the screen while the user is using the system.

[0617] Step 11:

[0618] The server imposes a one-time-per-day usage limit on free users, but offers businesses the option to remove this limit through a paid option.

[0619] This specific process allows users to efficiently generate high-resolution persona and customer journey maps, and companies can use this information to develop effective marketing strategies and service plans.

[0620] Example 1

[0621] 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."

[0622] Generating personas and customer journey maps in the past required a great deal of effort and time, and it was difficult to reflect consumer data in real time. This resulted in problems that reduced the accuracy of marketing strategies and service planning. There was also a lack of convenient functions for sharing the information generated by users. Furthermore, there were no appropriate methods for monetizing the system or for lifting usage restrictions.

[0623] 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.

[0624] In this invention, the server includes: a means for a user to input profile information using a terminal; a means for the server to receive the input profile information and send a profile generation request to a generation device; a means for the generation device to generate a persona profile based on the received profile information; a means for the server to compare the input profile information with a consumer database and collect relevant segment information; a means for the generation device to generate high-resolution persona information based on the collected data; a means for the generation device to generate an image based on the high-resolution persona; a means for the server to generate a summary of the persona information and the image in a one-page format; a means for the terminal to display the generated information to the user; a means for the user to share the generated persona customer journey map on a social networking site using the terminal; a means for the server to display advertisements on the terminal screen; and a means for the server to set a daily usage limit for free users and lift the usage limit with a paid option. This enables efficient use of large amounts of user data to generate highly accurate persona information in real time, improving the quality of marketing strategies and service planning. It also provides a function for easily sharing the generated information on social networking sites, as well as appropriate monetization and usage limit lifting mechanisms.

[0625] "User" refers to a person who operates a terminal, inputs profile information, and uses the system.

[0626] "Device" refers to the device (e.g., smartphone, computer, tablet) used by a User to enter Profile Information.

[0627] "Profile information" refers to information about a user, such as age, family structure, occupation, and place of residence.

[0628] "Server" refers to a central device that processes profile information received from users and generates persona information in cooperation with a generation device and a consumer database.

[0629] "Generation device" refers to a device or system that generates persona profiles, high-resolution persona information, and images based on profile information sent from the server.

[0630] A "consumer database" refers to a database that stores data about consumers (e.g., search queries, interest data, purchasing history) and that a server accesses and collects the data.

[0631] "Persona profile" refers to a profile that models a user and is generated by a generation device based on profile information.

[0632] "High-resolution persona information" refers to detailed and specific persona information generated based on collected data.

[0633] "Image" refers to a visual representation of a persona that is generated based on high-resolution persona information.

[0634] "One-page format" refers to a format in which the generated persona information and image are compiled on one page.

[0635] A "persona customer journey map" is a map that visualizes a user's customer journey, including persona information, consumer data analysis results, interest data, and image images.

[0636] "SNS sharing link" refers to the link for sharing the generated persona customer journey map on social media.

[0637] "Advertising space" refers to the space for advertisements that is displayed on the terminal screen while using the system.

[0638] "Paid Option" refers to a paid option that removes usage restrictions for free users and enables additional functions and services.

[0639] This invention is a system that allows users to easily generate high-resolution persona customer journey maps using a device. The system achieves efficient and highly accurate persona generation by linking a server, device, generation device, and consumer database.

[0640] First, the user uses a terminal to input their own profile information (such as age, family structure, occupation, and place of residence). This information is sent from the terminal to the server. The server analyzes the received profile information and sends it to the generation device as a profile generation request. At this time, the user's age, occupation, family structure, and place of residence are included as necessary parameters.

[0641] Next, the generator generates a base profile for the persona based on the received parameters. This profile includes the input basic information and the generator's inferences (personality, hobbies, etc.). The server then accesses a consumer database and collects data on target users that match the input segment information. This data includes user search queries and interest data.

[0642] Based on this collected data, the server uses a generator to generate high-resolution persona information. This profile reflects actual consumer data, forming a more specific persona image. The server then passes the high-resolution persona information to the generator, which uses AI to generate an image corresponding to the persona. This image visually represents the persona's characteristics.

[0643] The server then compiles the high-resolution persona information and images to generate a one-page persona / customer journey map. This map includes a basic profile, consumer data analysis results, interest data, and images. Finally, the server sends the generated persona / customer journey map to the device and displays it to the user. The user can view detailed persona information on their device. Businesses are also provided with the option to download the map in PDF format or other formats.

[0644] This system also allows users to share the generated persona and customer journey map on social media. The server generates a social media sharing link and provides it to the device. This allows users to easily share the results using the social media sharing button on their device. The system also monetizes by displaying advertisements in appropriate positions on the device screen while the system is in use. The server limits free users to one use per day, and offers paid options to lift the limit and provide additional features and services to businesses.

[0645] As a specific example, a male office worker in his late twenties enters information on a device, which is then sent to a server that generates a base profile and high-resolution persona information. The server then collects data from a consumer database, generates an image based on the high-resolution persona information, and creates a one-page persona customer journey map. This map can be viewed on the device and can also be shared on social media.

[0646] Examples of prompts to input to a generative AI model include:

[0647] "Generate a persona for a male office worker in his late 20s and create a high-resolution customer journey map. Basic information includes that he is married and lives in Tokyo."

[0648] This makes it possible to efficiently use large amounts of user data to generate highly accurate persona information in real time, improving the quality of marketing strategies and service planning.It also makes it possible to provide a function that allows the generated information to be easily shared on social media, as well as appropriate means of monetization and removal of usage restrictions.

[0649] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0650] Step 1:

[0651] The user uses the device to enter profile information. This input includes age, family structure, occupation, place of residence, etc. For example, the user enters information such as "30 years old, living in Tokyo, married, working for an IT company" and clicks the submit button. This generates the input data and sends it to the server.

[0652] Step 2:

[0653] The server receives the profile information sent from the device. The received data is analyzed in a structured format, including age, occupation, family structure, and place of residence. The server then sends a profile generation request to the generation device based on the analysis results. This request includes the user's basic information.

[0654] Step 3:

[0655] The generator generates a base profile for the persona based on the profile information received from the server. The generator uses an AI model to estimate personality, hobbies, and other attributes from the input basic information, and adds attributes such as "loves the outdoors and is sensitive to technological trends." As a result, a base profile is generated.

[0656] Step 4:

[0657] The server receives the base profile from the generator and accesses the consumer database. It collects data that matches the input segment information (e.g., "30 years old, living in Tokyo, married"). The server executes SQL queries to obtain consumer data such as search queries, interest data, and purchase history. The collected data is stored in a structured format.

[0658] Step 5:

[0659] The server uses a generator to generate high-resolution persona information based on the collected consumer data. The generator adds actual consumer data to the base profile to create a specific persona profile, such as "a 30-year-old male who works for an IT company, loves the outdoors, and is sensitive to technology trends." Because this profile contains detailed information, it is saved in high resolution.

[0660] Step 6:

[0661] The server passes the high-resolution persona information to a generator, which uses AI to generate an image corresponding to the persona. The generator then generates an image to visually express the persona's characteristics, outputting, for example, an image of a person in a suit operating a smartphone. This image is then associated with the high-resolution persona information.

[0662] Step 7:

[0663] The server combines the high-resolution persona information with the image data to generate a one-page persona / customer journey map. This map includes basic profiles, consumer data analysis results, interest data, and image data. The generated map is saved as a PDF document.

[0664] Step 8:

[0665] The server sends the generated persona and customer journey map to the device and displays it to the user. The user can check detailed persona information through the device. A download option (e.g., PDF format) is also provided for businesses.

[0666] Step 9:

[0667] Users can share the generated persona and customer journey map on social media. The server generates a social media sharing link based on the generated map and provides it to the device. Users can easily share the results by clicking the social media sharing button on their device.

[0668] Step 10:

[0669] The server displays advertisements in appropriate locations on the device screen while the system is in use. For example, monetization is achieved by inserting advertisements in the bottom right corner of the persona information screen or in the top banner. The advertisements displayed change dynamically, and content is selected based on the user's interests.

[0670] Step 11:

[0671] The server imposes usage limits on free users. Users who exceed the daily usage limit will see the message "You have reached your daily usage limit." Paid options are available for businesses, allowing them to remove usage limits and gain access to additional features (e.g., advanced analysis functions, data export functions).

[0672] (Application example 1)

[0673] 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."

[0674] In modern logistics centers, appropriate work instructions based on employee profiles and performance data are required to ensure efficient and optimal business execution. However, there is a lack of means to provide optimal work instructions to individual employees in real time, which is an obstacle to improving efficiency and labor productivity. This problem is particularly serious in large logistics centers, and it increases the risk of delays and errors in work instructions.

[0675] 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.

[0676] In this invention, the server includes: means for a user to input profile information using a terminal; means for the server to receive the input profile information and send a profile generation request to a generation device; means for the generation device to generate a persona profile based on the received profile information; means for the server to compare the profile information with a consumer database and collect corresponding segment information; means for the generation device to generate high-resolution persona information based on the collected data; means for the generation device to generate an image based on the high-resolution persona; means for the server to generate the persona information and the image in a one-page format; means for the terminal to display the generated information to the user; means for logistics center staff to input profile information using smart glasses and receive optimal work instructions in real time; and means for the server to generate personas based on staff performance data and provide work instructions to optimize logistics processes, thereby improving the work efficiency and labor productivity of logistics centers.

[0677] "Means for users to enter profile information using a terminal" refers to software or hardware that allows logistics center staff to enter personal information such as their age, job title, and place of residence using a smart device.

[0678] The "means for the server to receive the entered profile information and send a profile generation request to the generation device" refers to an intermediate processing device that receives personal information entered by staff, transfers it to the central management system, and communicates data between the two.

[0679] "Means for generating a persona profile based on profile information received by the generating device" refers to software or hardware for creating a virtualized character model (persona) based on the received personal information of staff members.

[0680] "Means for the server to compare with consumer database and collect relevant segment information" refers to the technology that enables the server to compare staff profiles with existing consumer databases (e.g., social statistical data) and extract relevant information.

[0681] "Means for generating high-resolution persona information using a generation device based on data collected by a server" refers to technology that generates more specific and comprehensive persona information based on detailed consumer data collected by a server.

[0682] "Means by which a generating device generates an image based on a high-resolution persona" refers to technology or software for creating a visually easy-to-understand image based on the generated highly accurate persona information.

[0683] "Means for the server to generate persona information and image images in a single, comprehensive report format" refers to a technology for compiling the generated persona information and image images into a single, comprehensive report format (a single, comprehensive format).

[0684] The "means for displaying the generated information to the user by the terminal" refers to an interface for displaying the generated persona information and image on the staff member's smart device.

[0685] "A means for logistics center staff to use smart glasses to input profile information and receive optimal work instructions in real time" refers to a function or device that allows staff to input personal information through smart glasses worn by staff and receive appropriate work instructions in real time while working.

[0686] "Means for the server to generate personas based on staff performance data and provide work instructions in order to optimize logistics processes" refers to a technology in which the server analyzes staff work history and efficiency data to create the most suitable person model, and then automatically provides optimal work instructions based on that.

[0687] This invention relates to a system for improving work efficiency and labor productivity at logistics centers. Specifically, it is a system that uses smart devices to input, receive, and process staff profile information in real time, and provides work instructions based on the optimal persona profile.

[0688] Hardware and software used

[0689] 1. Hardware

[0690] Smart glasses: worn by staff and used to input personal information and receive real-time work instructions (e.g., Google Glass, Vuzix).

[0691] Device: Used to enter profile information and view persona information (e.g., smartphone, tablet).

[0692] 2. Software

[0693] Server: A system for aggregating, processing, and responding to data. Examples include web frameworks such as Django and Flask.

[0694] Database: Used to store profile information, consumer data, and work performance data (e.g., PostgreSQL).

[0695] AI model: Used for persona and image generation, for example, using machine learning libraries such as TensorFlow.

[0696] Process Overview

[0697] 1. Enter your user profile

[0698] Users (logistics center staff) use smart glasses to input their profile information, which is then sent to the server.

[0699] 2. Processing a Profile Creation Request

[0700] The server sends a profile generation request to the generator based on the received profile information, and the generator generates a persona profile based on the received parameters.

[0701] 3. Comparison with consumer data

[0702] The server accesses the consumer database and collects additional data corresponding to the entered segment information, generating a detailed persona profile that reflects the user's performance data.

[0703] 4. Generate high-resolution personas and images

[0704] The generator generates visually easy-to-understand images based on the high-resolution persona profile, and then compiles this information in a peraichi format and sends it to the server.

[0705] 5. Providing real-time work instructions

[0706] The server displays the generated persona information and corresponding work instructions on the terminal (smart glasses), allowing staff to receive optimal work instructions in real time.

[0707] Specific examples

[0708] 1. Improved staff efficiency

[0709] A staff member puts on the smart glasses and enters their profile information (age, job title, place of residence, etc.). The information is sent to a server, and a persona profile is generated by a generator. The server compares this information with consumer data and generates a high-resolution persona and image. Finally, the smart glasses display optimal work instructions in real time.

[0710] 2. Process optimization by managers

[0711] Managers can generate personas based on each staff member's performance data to provide optimal work instructions, thereby improving the work efficiency of the entire logistics center.

[0712] Example prompts for generative AI models

[0713] "Generate optimal work instructions based on performance data for a male in his 30s who works at a logistics center, is married, and lives in an urban area."

[0714] These processes and functions enable the system of the present invention to improve operational efficiency throughout the distribution center and optimize staff performance.

[0715] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0716] Step 1:

[0717] The user enters profile information using the device

[0718] Specific operation: A user who is a staff member at a logistics center uses smart glasses to input his / her profile information (e.g., age, job title, place of residence, etc.), and the input data is sent from the terminal to the server.

[0719] Input: Staff profile information

[0720] Output: Profile data sent to the server

[0721] Step 2:

[0722] The server receives the input profile information and sends a profile generation request to the generation device.

[0723] Specific operations: The server receives the profile information sent by the user and sends a profile generation request to the generation device based on this information.

[0724] Input: Profile data sent from the device

[0725] Output: Profile generation request to the generator

[0726] Step 3:

[0727] A generator generates a persona profile based on the received profile information.

[0728] How it works: The generator generates a basic persona profile based on the received profile information, using a generative AI model.

[0729] Input: Profile data to the generator

[0730] Output: Basic persona profile

[0731] Step 4:

[0732] The server compares the data with the consumer database and collects relevant segment information.

[0733] Specific operation: Based on the generated basic persona profile, the server compares it with a consumer database and collects additional relevant data (e.g., behavioral patterns, consumption trends, etc.).

[0734] Input: Basic persona profile

[0735] Output: Additional data collected

[0736] Step 5:

[0737] The server generates high-resolution persona information using a generator based on the collected data.

[0738] How it works: The server sends the additional data it has collected to the generator, which generates high-resolution persona information, again using the generative AI model.

[0739] Input: Additional data collected

[0740] Output: High-resolution persona information

[0741] Step 6:

[0742] The generator generates an image based on the high-resolution persona.

[0743] How it works: The generator generates visually easy-to-understand images based on high-resolution persona information. An AI model is used to generate the images.

[0744] Input: High-resolution persona information

[0745] Output: Image

[0746] Step 7:

[0747] The server generates persona information and images in a single format.

[0748] Specific operation: The server receives high-resolution persona information and images and generates a persona customer journey map in a one-page format.

[0749] Input: High-resolution persona information and image

[0750] Output: Persona and customer journey map

[0751] Step 8:

[0752] Displaying device-generated information to the user

[0753] Specific operation: The device displays the generated persona and customer journey map in a one-page format to the user, who can then receive optimal work instructions in real time through the smart glasses.

[0754] Input: Persona & Customer Journey Map

[0755] Output: Display and work instructions for the user

[0756] Step 9:

[0757] The server generates personas based on staff performance data and provides work instructions to optimize logistics processes.

[0758] Specific operation: The server analyzes the performance data of staff members, generates the most suitable persona, and then provides the most suitable work instructions based on the generated persona in real time.

[0759] Input: Staff performance data

[0760] Output: Optimal work instructions

[0761] 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.

[0762] The system of the present invention allows users to easily generate high-resolution personas and customer journey maps using their devices. Furthermore, the system incorporates an emotion engine that recognizes the user's emotions, enabling the generation of more detailed and personalized personas using the user's emotional information. The program's processing is described in detail below.

[0763] Explanation of program processing

[0764] 1. Enter your user profile

[0765] The user uses the device to enter profile information such as age, family structure, occupation, place of residence, etc. The entered information is sent from the device to the server.

[0766] 2. Receiving a profile creation request

[0767] The server processes the profile information received from the terminal and sends a profile generation request to the generator, which includes parameters such as the user's age, occupation, family structure, and place of residence.

[0768] 3. Collecting emotional information using an emotion engine

[0769] The emotion engine analyzes the user's facial expressions and behavior and sends the emotional information to the server. The emotion engine uses a camera and microphone to detect the user's smile and tone of voice.

[0770] 4. Base profile generation

[0771] The generator generates a base profile based on the received profile information and emotion information. This profile includes the input basic information and the personality and hobbies estimated by the generator.

[0772] 5. Comparison with consumer data

[0773] The server accesses the consumer database and collects data on target users that match the entered segment information. For example, it extracts search queries and interest data for users who are in their late 20s, male, married, and living in Tokyo.

[0774] 6. High-resolution persona generation

[0775] The server combines the collected consumer data with the base profile and emotional information created by the generator to generate high-resolution persona information, which includes specific search queries and interest data.

[0776] 7. Image Generation

[0777] The server sends high-resolution persona information to a generator and sends a request to generate an image that also takes emotional information into account. The generator then generates an image that reflects the visual characteristics of the persona.

[0778] 8. Create a persona map

[0779] The server compiles the high-resolution persona information and images to generate a one-page persona / customer journey map, which includes a basic profile, analysis results of consumer data, interest data, and images.

[0780] 9. Provision to Users

[0781] The server sends the generated persona and customer journey map to the device and displays it to the user, who can then view detailed persona information on the device.

[0782] 10. Provision of SNS sharing function

[0783] The device provides an SNS sharing button to allow the user to share the generated results on an SNS. The server generates a link for sharing on the SNS and sends it to the device.

[0784] 11. Advertising

[0785] The server displays advertisements on the terminal screen, and the terminal sets aside an advertisement space on a part of the screen while the user is using the system.

[0786] 12. Usage Limits and Billing Options

[0787] The server imposes a one-time-per-day usage limit on free users, but offers businesses the option to remove this limit through a paid option.

[0788] By using this system, personas and customer journey maps can be generated efficiently, allowing users and companies to obtain highly accurate and personalized marketing data.

[0789] Specific examples

[0790] Example 1: A male office worker in his late 20s

[0791] The user (male office worker in his late 20s, married, living in Tokyo) enters information into the device, and the emotion engine analyzes the user's facial expressions.

[0792] The server sends the information to a generator and a base profile is generated.

[0793] The server collects data for the same segment from a consumer database, and a generator generates high-resolution persona information.

[0794] An image is generated and a one-page persona and customer journey map is created.

[0795] Users can view the map on their device and share it on social media.

[0796] Example 2: Generating personas tailored to specific business needs

[0797] A company's marketing staff enters information about a specific target user (a woman in her 30s, single, living in an urban area), and the emotion engine recognizes the user's emotions.

[0798] The system generates a profile and matches it with consumer data to create a high-resolution persona.

[0799] Integrate with images to generate detailed customer journey maps.

[0800] The person in charge shares this information within the company and formulates a marketing strategy.

[0801] By using the system of this invention, it is possible to significantly improve the quality of formulating new marketing strategies and service planning. By combining it with an emotion engine, it becomes possible to generate personalized personas according to the user's emotional state, leading to more effective marketing measures.

[0802] The processing flow will be explained below.

[0803] Step 1:

[0804] The user uses the device to input profile information such as age, family structure, occupation, and place of residence, and the device then sends this input information to the server.

[0805] Step 2:

[0806] The server processes the profile information received from the terminal and sends a profile generation request to the generation device, which includes parameters such as the user's age, occupation, family structure, and place of residence.

[0807] Step 3:

[0808] The emotion engine analyzes the user's facial expressions and tone of voice and sends the emotion information to the server. The emotion engine detects the user's emotional state using the screen camera and microphone.

[0809] Step 4:

[0810] The generator generates a base profile based on the received profile information and emotion information. This base profile includes the input basic information and the personality and hobbies estimated by the generator.

[0811] Step 5:

[0812] The server accesses the consumer database and collects data on target users that match the entered segment information. The server then extracts search queries and interest data for users who match the conditions.

[0813] Step 6:

[0814] The server combines the collected consumer data with the base profile and emotional information created by the generator to generate high-resolution persona information, including specific search queries and interest data.

[0815] Step 7:

[0816] The server sends high-resolution persona information to the generator and sends a request to generate an image that also takes emotion information into consideration. The generator then creates an image based on the high-resolution persona.

[0817] Step 8:

[0818] The server combines the high-resolution persona information with the image data to generate a one-page persona / customer journey map, which includes a basic profile, analysis results of consumer data, interest data, and image data.

[0819] Step 9:

[0820] The server sends the generated persona and customer journey map to the device and displays it to the user, who can then view detailed persona information on the device.

[0821] Step 10:

[0822] The device provides a social media sharing button, allowing the user to share the generated persona and customer journey map on social media. The server generates a social media sharing link and sends it to the device.

[0823] Step 11:

[0824] The server displays advertisements on the terminal screen, and when the user uses the system, the terminal sets up an advertisement frame in an appropriate position on the screen.

[0825] Step 12:

[0826] The server imposes a one-time-per-day usage limit on free users, but offers businesses the option to remove this limit through a paid option.

[0827] Specific examples

[0828] Example 1: Use in sales promotion

[0829] A male office worker in his late twenties uses a persona generation system that uses an emotion engine.

[0830] Step 1: The user enters "late 20s, male, office worker, married, living in Tokyo" into the device and submits.

[0831] Step 2: The server receives the information.

[0832] Step 3: The emotion engine detects the user's emotion using the camera and microphone and sends the emotional state (e.g., joy) to the server.

[0833] Step 4: The generator generates a base profile based on the basic profile and emotion information.

[0834] Step 5: The server collects data that matches the conditions from the consumer database.

[0835] Step 6: The server integrates the collected data with the base profile and emotional information to generate high-resolution persona information.

[0836] Step 7: The generator generates an image based on the high-resolution persona and emotion information.

[0837] Step 8: The server compiles the generated information into a Peraichi map.

[0838] Step 9: The server sends the Peraichi map to the terminal.

[0839] Step 10: Users share their persona map using the social media sharing buttons.

[0840] Step 11: The server displays the advertisement on the device screen.

[0841] Step 12: The server limits free users to one use per day and offers paid options for businesses.

[0842] Example 2: Use in marketing analysis

[0843] A company's marketing manager creates a persona for the target user (a woman in her 30s, single, living in an urban area).

[0844] Step 1: The person in charge enters the target information into the terminal.

[0845] Step 2: The server receives the information.

[0846] Step 3: The emotion engine analyzes the emotional state and sends it to the server.

[0847] Step 4: The generator generates the base profile.

[0848] Step 5: The server collects the relevant data from the consumer database.

[0849] Step 6: Integrate collected data and emotional information to generate high-resolution personas.

[0850] Step 7: The generator generates an image based on the persona information.

[0851] Step 8: The server creates a Peraichi map.

[0852] Step 9: The server sends the map to the operator's device.

[0853] Step 10: The person in charge shares on social media.

[0854] Step 11: The server displays the advertisement on the screen.

[0855] Step 12: Remove usage restrictions with paid options.

[0856] By using this invention, it is possible to dramatically improve the accuracy of marketing strategies and service planning, and by incorporating an emotion engine, it becomes possible to generate personalized personas according to the user's emotions.

[0857] Example 2

[0858] 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."

[0859] Rather than simply inputting profile information, there is a need to generate personalized persona profiles that take into account the user's emotional state. There is also a need for a means for users to easily view and share the generated persona profiles. Furthermore, there is a need for an effective method for generating advertising revenue.

[0860] 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.

[0861] In this invention, the server includes: means for a user to input profile information using a terminal; means for the server to receive the input profile information and send a profile generation request to a generation device; means for the generation device to generate a persona profile based on the received profile information; means for the server to compare the profile information with consumer data and collect corresponding segment information; means for the generation device to generate high-resolution persona information based on the collected data; means for the generation device to generate images based on the high-resolution persona; means for an emotion engine to analyze the user's facial expressions and tone of voice and send the emotion information to the server; means for the server to collect the emotion information and generate a more detailed persona profile based on the emotion information; means for the server to generate the persona information and images in a one-page format; and means for the terminal to display the generated information to the user. This enables the generation of a detailed and personalized persona profile that incorporates the user's emotion information, thereby realizing a system that allows users to easily view and share information while improving the effectiveness of advertising displays.

[0862] A "user" is an entity that uses the system and inputs profile information and emotional information.

[0863] A "terminal" is a device that allows a user to input profile information and emotional information and view the generated information, and generally refers to a computer or smartphone.

[0864] "Profile information" refers to basic personal information such as age, occupation, family composition, and place of residence entered by the user.

[0865] The "server" is a central processing unit that processes profile information and emotion information received from users and sends requests to the generation device.

[0866] The "generation device" is a device that generates a persona profile and an image based on the profile information and emotional information sent from the server.

[0867] A "persona profile" is data that represents a detailed image of a user, including their personality and hobbies, generated based on their basic profile information and emotional information.

[0868] "Consumer data" is a database of consumer behavior and interests, and is used for advertising and marketing purposes.

[0869] "High-resolution persona information" is a detailed and personalized persona profile generated based on integrated consumer data and emotional information.

[0870] An "image" is an image that reflects the visual characteristics of a persona, generated based on high-resolution persona information.

[0871] The "peraichi format" is a document or data format that compiles persona information and images in a concise, easy-to-understand format.

[0872] The "emotion engine" is a system that uses a camera and microphone to analyze a user's facial expressions and tone of voice to extract emotional information.

[0873] "Emotion information" is data on the user's emotional state based on facial expressions and tone of voice, obtained by the emotion engine.

[0874] The "SNS sharing link" is a link for sharing the generated persona / customer journey map on social media.

[0875] "Advertising space" refers to the area in which advertisements are displayed when a user is viewing information on a terminal.

[0876] The system of this invention allows users to easily generate high-resolution persona and customer journey maps using their devices. Furthermore, by utilizing an emotion engine, it is possible to generate detailed and personalized persona profiles that include the user's emotional information.

[0877] System configuration and hardware / software used

[0878] The system consists of the following major components:

[0879] 1. Terminal

[0880] The user inputs profile information using a device (computer or smartphone) and acquires emotional information.

[0881] 2. Server

[0882] It processes the profile information and emotion information received from the user and sends a request to the generation device.

[0883] The necessary data is collected by comparing it with a consumer database.

[0884] 3. Generator

[0885] A persona profile and image are generated based on the profile information and emotional information sent from the server.

[0886] 4. Emotion Engine

[0887] Using a camera and microphone, the system analyzes the user's facial expressions and tone of voice to extract emotional information.

[0888] 5. Consumer Database

[0889] It is a database that stores data on consumer behavior and interests.

[0890] Data processing and calculation

[0891] The data processing and calculation flow of this system is shown below.

[0892] 1. Enter your user profile

[0893] The user uses the terminal to enter profile information such as age, occupation, family composition, place of residence, etc. The entered information is sent from the terminal to the server.

[0894] 2. Collecting emotional information

[0895] The user enables the camera and microphone, and the emotion engine analyzes the user's facial expressions and tone of voice. The extracted emotion information is sent to the server.

[0896] 3. Generate a persona profile

[0897] The server transmits the received profile information and emotion information to the generation device, which then generates a base profile based on these.

[0898] 4. Comparison with consumer data

[0899] The server accesses the consumer database and collects data that matches the input information.

[0900] 5. Generate high-resolution personas

[0901] The server integrates the collected consumer data and emotional information, and a generation device generates high-resolution persona information.

[0902] 6. Image Generation

[0903] The generating device generates an image based on the high-resolution persona information and transmits it to the server.

[0904] 7. Creating personas and customer journey maps

[0905] The server compiles high-resolution persona information and images to generate a one-page persona / customer journey map, which is then sent to the device and displayed to the user.

[0906] Specific examples

[0907] Example 1: A male office worker in his late 20s

[0908] The user (male office worker in his late 20s, married, living in Tokyo) inputs information into the device, and the emotion engine analyzes the user's facial expressions and sends the emotional information to the server.

[0909] The server sends the received information to a generator, which generates a base profile.

[0910] The server collects data for the same segment from a consumer database, and a generator generates high-resolution persona information.

[0911] An image is generated and a one-page persona and customer journey map is created.

[0912] Users can view the map on their device and share it on social media.

[0913] Example 2: Generating personas tailored to specific business needs

[0914] A company's marketing staff enters information about a specific target user (a woman in her 30s, single, living in an urban area), and the emotion engine recognizes the user's emotions and sends them to the server.

[0915] The server sends the profile to a generator, which matches it with consumer data to create a high-resolution persona.

[0916] A generator generates images and integrates them to generate a detailed customer journey map.

[0917] The person in charge shares this information internally and formulates a marketing strategy.

[0918] Example prompts for generative AI models

[0919] Example prompt 1:

[0920] Please create a persona and customer journey map that can be easily understood by a married male office worker in his late 20s. The map should include detailed analysis results along with images that reflect the user's occupation, age, family structure, place of residence, and emotional information.

[0921] Example prompt 2:

[0922] Create a high-resolution persona and customer journey map for a single woman in her 30s living in an urban area. Based on the target's profile information, generate detailed persona information that integrates consumer data and emotional information, and include images.

[0923] By using such a system, users and companies can quickly obtain highly accurate and personalized marketing data, improving the quality of new marketing strategies and service plans.The use of an emotion engine makes it possible to implement detailed marketing measures that correspond to the user's emotional state.

[0924] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0925] Step 1:

[0926] The user enters profile information on the device. The user opens the application, enters the required profile information such as age, occupation, family composition, and place of residence into the form, and clicks the submit button. The entered profile information is sent from the device to the server. This entered information is used in subsequent processing.

[0927] Step 2:

[0928] The server processes the profile information received from the device, analyzes and formats the information, and sends a profile generation request to the generator, which includes parameters such as the user's age, occupation, family composition, and place of residence.

[0929] Step 3:

[0930] The emotion engine collects the user's emotional information. The user enables the camera and microphone, and the device uses them to detect facial expressions and tone of voice. The emotion engine analyzes this data and extracts the user's emotional information. This extracted emotional information is sent from the device to the server.

[0931] Step 4:

[0932] The server processes the received emotion information and sends it to the generator, which then sends the emotion information along with the profile information to the generator and sends a base profile generation request, which includes the user's basic profile information and emotion information.

[0933] Step 5:

[0934] The generating device generates a base profile. Based on the received profile information and emotion information, the generating device creates a base profile. This profile includes basic profile information and personality and hobbies estimated by the generating device. The generated base profile is sent to the server.

[0935] Step 6:

[0936] The server accesses the consumer database and collates consumer data. The server searches the database for consumer data that matches the conditions of the base profile, and collects target data that matches the conditions, for example, "late 20s, male, married, residing in Tokyo." This collected data is then stored on the server.

[0937] Step 7:

[0938] The server generates high-resolution persona information by integrating the collected consumer data with the generated base profile and sentiment information. This integrated profile includes specific search queries and interest data.

[0939] Step 8:

[0940] The server sends an image generation request to the generation device. The generation device receives the request to generate an image based on high-resolution persona information, taking into account emotional information. The generated image is sent to the server.

[0941] Step 9:

[0942] The server generates a one-page persona and customer journey map. High-resolution persona information and images are compiled and the server creates a one-page customer journey map. This map includes a basic profile, analysis results of consumer data, interest data, and images.

[0943] Step 10:

[0944] The server sends the generated persona and customer journey map to the device, where the user can view detailed persona information. The map is presented in an easy-to-use interface to help users understand.

[0945] Step 11:

[0946] The device provides a social media sharing button. When the user clicks the share button, the server generates a social media sharing link and sends it to the device. This sharing link allows the user to easily share the generated persona and customer journey map on social media.

[0947] Step 12:

[0948] The server displays advertisements on the terminal screen. While the user is using the system, an advertising space is set aside on the terminal screen and relevant advertisements are displayed there. This allows the user to earn advertising revenue while using the system.

[0949] Step 13:

[0950] The server provides usage limits and billing options. Free users are limited to one use per day, but businesses can purchase billing options to remove this limit. Businesses can purchase billing options to increase usage frequency.

[0951] (Application example 2)

[0952] 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."

[0953] Conventional persona generation systems were unable to fully incorporate user emotional information, resulting in insufficient personalization for individual customers. Furthermore, in brick-and-mortar stores, it was difficult to grasp customer profile information and emotions in real time, making it difficult to provide appropriate customer service and marketing responses.

[0954] The identification process by the identification 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 a user to input profile information using a terminal; means for the server to receive the input profile information and send a profile generation request to the generation device; means for the generation device to generate a persona profile based on the received profile information; means for the server to compare the profile information with a consumer database and collect corresponding segment information; means for the generation device to generate high-resolution persona information based on the data collected by the server; means for the generation device to generate an image based on the high-resolution persona; means for the server to generate the persona information and the image in a one-page format; means for the terminal to display the generated information to the user; and means for displaying customer emotion information and profile information in real time using smart glasses or a head-mounted display. This enables high-resolution personalized persona information to be acquired and displayed in real time even in physical stores, enabling more effective customer service and marketing initiatives.

[0955] A "terminal" is a device used by a user to enter information and view results.

[0956] A "server" is a computer system that receives input information from a user, performs the necessary processing and checks it against a database, and sends instructions to the generation device.

[0957] A "generation device" is a system that generates profile and persona information based on a request from a server.

[0958] "Profile information" is information such as age, occupation, family structure, and place of residence entered by the user.

[0959] A "persona profile" is a user model that is generated by a generation device based on profile information.

[0960] A "consumer database" is a database that accumulates data on consumers' hobbies, preferences, and behavior.

[0961] "High-resolution persona information" refers to detailed user models and profiles that are generated based on data collected by the server.

[0962] An "image image" is an image that reflects visual features generated by a generation device based on high-resolution persona information.

[0963] "One-page format" is a format in which information is summarized on one page.

[0964] "Smart glasses" are devices that can display information to a user's field of vision when worn by the user.

[0965] A "head-mounted display" is a display device that is worn on the user's head.

[0966] "Emotional information" refers to the user's emotional state, which is analyzed from the user's facial expression, tone of voice, and so on.

[0967] The system of this invention is a method for users to generate high-resolution persona and customer journey maps via their devices. Furthermore, by incorporating an emotion engine, it is possible to utilize the user's emotional information to generate more detailed and personalized personas. The specific configuration and operating procedures of this system are described below.

[0968] Hardware and software used

[0969] Hardware

[0970] Device: A smartphone or tablet where users enter information.

[0971] Smart glasses: A device for displaying customer information and sentiment information in real time.

[0972] Head-mounted display: Used to display customer information and emotional information in real time.

[0973] software

[0974] OpenCV: Image processing library. Used for face detection and facial expression analysis.

[0975] Dlib: A machine learning library used for face detection and emotion recognition.

[0976] EmotionRecognizer: A custom model for predicting emotions from facial images.

[0977] ProfileGenerator: A custom class that generates estimated profile information.

[0978] System operation procedures

[0979] 1. Enter your profile information

[0980] The user uses a device to enter profile information such as age, occupation, family composition, and place of residence, which creates a basic database of the persona.

[0981] 2. Submit a profile creation request

[0982] The server receives the profile information input from the terminal and sends a profile generation request to the generation device based on the received profile information.

[0983] 3. Collecting emotional information

[0984] The emotion engine analyzes the user's facial expressions, tone of voice, etc. and sends emotional information to the server. The emotion engine uses the camera and microphone.

[0985] 4. Generate a base profile

[0986] The generator integrates the received profile information and emotional information to generate a base profile, which includes the input data and analyzed personality and hobbies.

[0987] 5. Comparison with consumer database

[0988] The server accesses the consumer database and collects data that matches the input segment information.

[0989] 6. Generate high-resolution personas

[0990] Based on the collected data and base profile, the generator generates high-resolution persona information.

[0991] 7. Use persona information

[0992] Using smart glasses and head-mounted displays, the behavior and facial expressions of customers in the store are analyzed in real time and displayed to store staff.

[0993] Specific examples

[0994] For example, when smart glasses are used in a physical store, the glasses worn by the store clerk will display customer profile information and emotional information in real time. If a customer shows interest in a particular product, detailed information related to that product will be displayed, allowing the store clerk to provide appropriate customer service.

[0995] Prompt Sentence Examples

[0996] An example of a prompt sentence might be:

[0997] Write a Python code for glasses that will recognize customers' faces and their emotions in real time and generate a profile based on their past visit history.

[0998] Based on this invention, it will be possible to improve customer service in physical stores and increase the accuracy of marketing strategies.

[0999] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1000] Step 1:

[1001] The user uses a terminal to input profile information. The user enters information such as age, occupation, family structure, and place of residence into an input form on the terminal. This becomes the initial input data to the system. The input profile information includes the user's basic demographic information.

[1002] input:

[1003] User's age, occupation, family structure, place of residence

[1004] output:

[1005] Profile Information Data

[1006] Step 2:

[1007] The terminal sends the entered profile information to the server, which receives this data and prepares it to send a profile generation request to the generator, which defines the request structure and sends it to the generator with the necessary information.

[1008] input:

[1009] Profile Information Data

[1010] output:

[1011] Profile Generation Request

[1012] Step 3:

[1013] The emotion engine is activated and analyzes the user's facial expressions and tone of voice. The emotion engine uses a camera and microphone to capture the user's facial expressions and voice in real time, and extracts emotional information using expression analysis algorithms and voice analysis algorithms.

[1014] input:

[1015] Camera footage, audio data

[1016] output:

[1017] Emotional information data

[1018] Step 4:

[1019] The generation device integrates the received profile information and emotion information to generate a base profile. Based on the profile information and emotion information, the generation device uses an automated algorithm to estimate attributes related to the user's personality and hobbies.

[1020] input:

[1021] Profile information data, emotional information data

[1022] output:

[1023] Base Profile Data

[1024] Step 5:

[1025] The server accesses a consumer database to collect data that matches the entered segment information, including behavioral and interest data of other users with similar profiles.

[1026] input:

[1027] Base Profile Data

[1028] output:

[1029] Consumer Data

[1030] Step 6:

[1031] The generator generates high-resolution persona information based on consumer data and base profiles obtained from the server, and uses advanced AI algorithms to create a detailed persona model.

[1032] input:

[1033] Consumer data, base profile data

[1034] output:

[1035] High-resolution persona information

[1036] Step 7:

[1037] A generator generates images based on the high-resolution persona information, the images reflecting visual characteristics for the persona and providing a visual profile.

[1038] input:

[1039] High-resolution persona information

[1040] output:

[1041] Image

[1042] Step 8:

[1043] The server generates high-resolution persona information and images in a single, unified format, and then converts this data into a single, integrated document that can be easily viewed by users.

[1044] input:

[1045] High-resolution persona information and images

[1046] output:

[1047] Persona Customer Journey Map

[1048] Step 9:

[1049] The device displays the persona and customer journey map retrieved from the server to the user, who can then view detailed persona information on the device screen.

[1050] input:

[1051] Persona Customer Journey Map

[1052] output:

[1053] Screen display

[1054] Step 10:

[1055] Smart glasses or head-mounted displays are used to display customers' emotional and profile information in real time, allowing store staff to respond to customers quickly and effectively.

[1056] input:

[1057] High-resolution persona information, emotional information

[1058] output:

[1059] Real-time information displayed on glasses or displays

[1060] 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.

[1061] 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.

[1062] 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.

[1063] [Third embodiment]

[1064] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[1065] 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.

[1066] 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).

[1067] 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.

[1068] 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.

[1069] 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).

[1070] 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.

[1071] 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.

[1072] 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.

[1073] 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.

[1074] 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.

[1075] 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."

[1076] The system of this invention allows users to easily generate high-resolution persona customer journey maps using their devices. This system achieves highly accurate and efficient persona generation by linking a server, device, generation device, and consumer database.

[1077] Explanation of program processing

[1078] 1. Enter your user profile

[1079] Users use their devices to enter profile information such as age, family structure, occupation, and place of residence, which is then sent from the device to the server.

[1080] 2. Receiving a profile creation request

[1081] The server processes the profile information received from the terminal and sends a profile generation request to the generation device, including the user's age, occupation, family structure, and place of residence as necessary parameters.

[1082] 3. Base profile generation

[1083] The generator generates a base profile for the persona based on the received parameters. This profile includes the input basic information and the generator's inferences (such as personality and hobbies).

[1084] 4. Comparison with consumer data

[1085] The server accesses the consumer database and collects data on target users that match the input segment information, thereby obtaining data such as user search queries and interests.

[1086] 5. High-resolution persona generation

[1087] The server uses a generator to generate high-resolution persona information based on the collected data. By incorporating actual consumer data into this profile, a more specific persona image is formed.

[1088] 6. Image Generation

[1089] The server passes the high-resolution persona information to a generator, which uses AI to generate an image corresponding to the persona, which visually represents the persona's characteristics.

[1090] 7. Create a persona map

[1091] The server compiles the high-resolution persona information and images to generate a one-page persona / customer journey map, which includes a basic profile, analysis results of consumer data, interest data, and images.

[1092] 8. Provision to Users

[1093] The server sends the generated persona and customer journey map to the device and displays it to the user. The user can check detailed persona information through the device. Businesses can also download the map in PDF format.

[1094] 9. Provision of SNS sharing function

[1095] Users can share the generated persona and customer journey map on social media. The server generates a social media sharing link and provides it to the device. Users can share the results using the social media sharing button on their device.

[1096] 10. Advertising

[1097] The server displays advertisements at appropriate positions on the device screen while the system is in use, thereby monetizing the system.

[1098] 11. Usage Limits and Billing Options

[1099] The server limits free users to one use per day, but for businesses, paid options are available to remove this limit and unlock additional features and services.

[1100] Specific examples

[1101] Example 1: A male office worker in his late 20s

[1102] The user (male office worker in his late 20s, married, living in Tokyo) enters information on the device and clicks the send button.

[1103] The server sends this information to the generator and a base profile is generated.

[1104] The server collects data for the same segment from a consumer database, and a generator generates high-resolution persona information.

[1105] An image is generated and a one-page persona and customer journey map is created.

[1106] Users can view the map on their device and share it on social media.

[1107] Example 2: Generating personas tailored to specific business needs

[1108] A company's marketing staff enters information about a specific target user (a woman in her 30s, single, living in an urban area).

[1109] The system generates a profile and matches it with consumer data to create a high-resolution persona.

[1110] Integrate with images to generate detailed customer journey maps.

[1111] The person in charge shares this information within the company and formulates a marketing strategy.

[1112] By using the system of the present invention, it is possible to improve the efficiency and accuracy of the conventional persona creation process. In particular, by utilizing a large amount of user data, it becomes possible to generate high-resolution persona information, which can significantly improve the quality of marketing strategies and service plans.

[1113] The processing flow will be explained below.

[1114] Step 1:

[1115] The user uses the device to input profile information such as age, family structure, occupation, and place of residence, and the device then sends this input information to the server.

[1116] Step 2:

[1117] The server processes the profile information received from the terminal and sends a profile generation request to the generation device, which includes parameters such as the user's age, occupation, family structure, and place of residence.

[1118] Step 3:

[1119] The generator generates a base profile based on the received parameters. This base profile includes the input basic information and the personality and hobbies (e.g., watching movies, visiting cafes) estimated by the generator.

[1120] Step 4:

[1121] The server accesses the consumer database and collects data on target users that match the entered segment information. For example, it extracts search queries and interest data for users who are in their late 20s, male, married, and living in Tokyo.

[1122] Step 5:

[1123] The server combines the collected consumer data with the base profile created by the generator to generate high-resolution persona information, which includes specific search queries (e.g., buying an apartment) and interest data (e.g., finance, outdoors).

[1124] Step 6:

[1125] The server transmits high-resolution persona information to the generation device and sends a request to generate an image based on the information, and the generation device generates an image corresponding to the persona.

[1126] Step 7:

[1127] The server compiles high-resolution persona information and images to generate a persona / customer journey map in a peraichi format, which includes a basic profile, analysis results of consumer data, interest data, and images.

[1128] Step 8:

[1129] The server sends the generated persona and customer journey map to the device and displays it to the user, who can then view detailed persona information on the device.

[1130] Step 9:

[1131] The device provides an SNS sharing button to allow the user to share the generated results on an SNS. The server generates a link for sharing on the SNS and sends it to the device.

[1132] Step 10:

[1133] The server displays advertisements on the terminal screen, and the terminal sets aside an advertisement space on a part of the screen while the user is using the system.

[1134] Step 11:

[1135] The server imposes a one-time-per-day usage limit on free users, but offers businesses the option to remove this limit through a paid option.

[1136] This specific process allows users to efficiently generate high-resolution persona and customer journey maps, and companies can use this information to develop effective marketing strategies and service plans.

[1137] Example 1

[1138] 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."

[1139] Generating personas and customer journey maps in the past required a great deal of effort and time, and it was difficult to reflect consumer data in real time. This resulted in problems that reduced the accuracy of marketing strategies and service planning. There was also a lack of convenient functions for sharing the information generated by users. Furthermore, there were no appropriate methods for monetizing the system or for lifting usage restrictions.

[1140] 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.

[1141] In this invention, the server includes: a means for a user to input profile information using a terminal; a means for the server to receive the input profile information and send a profile generation request to a generation device; a means for the generation device to generate a persona profile based on the received profile information; a means for the server to compare the input profile information with a consumer database and collect relevant segment information; a means for the generation device to generate high-resolution persona information based on the collected data; a means for the generation device to generate an image based on the high-resolution persona; a means for the server to generate a summary of the persona information and the image in a one-page format; a means for the terminal to display the generated information to the user; a means for the user to share the generated persona customer journey map on a social networking site using the terminal; a means for the server to display advertisements on the terminal screen; and a means for the server to set a daily usage limit for free users and lift the usage limit with a paid option. This enables efficient use of large amounts of user data to generate highly accurate persona information in real time, improving the quality of marketing strategies and service planning. It also provides a function for easily sharing the generated information on social networking sites, as well as appropriate monetization and usage limit lifting mechanisms.

[1142] "User" refers to a person who operates a terminal, inputs profile information, and uses the system.

[1143] "Device" refers to the device (e.g., smartphone, computer, tablet) used by a User to enter Profile Information.

[1144] "Profile information" refers to information about a user, such as age, family structure, occupation, and place of residence.

[1145] "Server" refers to a central device that processes profile information received from users and generates persona information in cooperation with a generation device and a consumer database.

[1146] "Generation device" refers to a device or system that generates persona profiles, high-resolution persona information, and images based on profile information sent from the server.

[1147] A "consumer database" refers to a database that stores data about consumers (e.g., search queries, interest data, purchasing history) and that a server accesses and collects the data.

[1148] "Persona profile" refers to a profile that models a user and is generated by a generation device based on profile information.

[1149] "High-resolution persona information" refers to detailed and specific persona information generated based on collected data.

[1150] "Image" refers to a visual representation of a persona that is generated based on high-resolution persona information.

[1151] "One-page format" refers to a format in which the generated persona information and image are compiled on one page.

[1152] A "persona customer journey map" is a map that visualizes a user's customer journey, including persona information, consumer data analysis results, interest data, and image images.

[1153] "SNS sharing link" refers to the link for sharing the generated persona customer journey map on social media.

[1154] "Advertising space" refers to the space for advertisements that is displayed on the terminal screen while using the system.

[1155] "Paid Option" refers to a paid option that removes usage restrictions for free users and enables additional functions and services.

[1156] This invention is a system that allows users to easily generate high-resolution persona customer journey maps using a device. The system achieves efficient and highly accurate persona generation by linking a server, device, generation device, and consumer database.

[1157] First, the user uses a terminal to input their own profile information (such as age, family structure, occupation, and place of residence). This information is sent from the terminal to the server. The server analyzes the received profile information and sends it to the generation device as a profile generation request. At this time, the user's age, occupation, family structure, and place of residence are included as necessary parameters.

[1158] Next, the generator generates a base profile for the persona based on the received parameters. This profile includes the input basic information and the generator's inferences (personality, hobbies, etc.). The server then accesses a consumer database and collects data on target users that match the input segment information. This data includes user search queries and interest data.

[1159] Based on this collected data, the server uses a generator to generate high-resolution persona information. This profile reflects actual consumer data, forming a more specific persona image. The server then passes the high-resolution persona information to the generator, which uses AI to generate an image corresponding to the persona. This image visually represents the persona's characteristics.

[1160] The server then compiles the high-resolution persona information and images to generate a one-page persona / customer journey map. This map includes a basic profile, consumer data analysis results, interest data, and images. Finally, the server sends the generated persona / customer journey map to the device and displays it to the user. The user can view detailed persona information on their device. Businesses are also provided with the option to download the map in PDF format or other formats.

[1161] This system also allows users to share the generated persona and customer journey map on social media. The server generates a social media sharing link and provides it to the device. This allows users to easily share the results using the social media sharing button on their device. The system also monetizes by displaying advertisements in appropriate positions on the device screen while the system is in use. The server limits free users to one use per day, and offers paid options to lift the limit and provide additional features and services to businesses.

[1162] As a specific example, a male office worker in his late twenties enters information on a device, which is then sent to a server that generates a base profile and high-resolution persona information. The server then collects data from a consumer database, generates an image based on the high-resolution persona information, and creates a one-page persona customer journey map. This map can be viewed on the device and can also be shared on social media.

[1163] Examples of prompts to input to a generative AI model include:

[1164] "Generate a persona for a male office worker in his late 20s and create a high-resolution customer journey map. Basic information includes that he is married and lives in Tokyo."

[1165] This makes it possible to efficiently use large amounts of user data to generate highly accurate persona information in real time, improving the quality of marketing strategies and service planning.It also makes it possible to provide a function that allows the generated information to be easily shared on social media, as well as appropriate means of monetization and removal of usage restrictions.

[1166] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1167] Step 1:

[1168] The user uses the device to enter profile information. This input includes age, family structure, occupation, place of residence, etc. For example, the user enters information such as "30 years old, living in Tokyo, married, working for an IT company" and clicks the submit button. This generates the input data and sends it to the server.

[1169] Step 2:

[1170] The server receives the profile information sent from the device. The received data is analyzed in a structured format, including age, occupation, family structure, and place of residence. The server then sends a profile generation request to the generation device based on the analysis results. This request includes the user's basic information.

[1171] Step 3:

[1172] The generator generates a base profile for the persona based on the profile information received from the server. The generator uses an AI model to estimate personality, hobbies, and other attributes from the input basic information, and adds attributes such as "loves the outdoors and is sensitive to technological trends." As a result, a base profile is generated.

[1173] Step 4:

[1174] The server receives the base profile from the generator and accesses the consumer database. It collects data that matches the input segment information (e.g., "30 years old, living in Tokyo, married"). The server executes SQL queries to obtain consumer data such as search queries, interest data, and purchase history. The collected data is stored in a structured format.

[1175] Step 5:

[1176] The server uses a generator to generate high-resolution persona information based on the collected consumer data. The generator adds actual consumer data to the base profile to create a specific persona profile, such as "a 30-year-old male who works for an IT company, loves the outdoors, and is sensitive to technology trends." Because this profile contains detailed information, it is saved in high resolution.

[1177] Step 6:

[1178] The server passes the high-resolution persona information to a generator, which uses AI to generate an image corresponding to the persona. The generator then generates an image to visually express the persona's characteristics, outputting, for example, an image of a person in a suit operating a smartphone. This image is then associated with the high-resolution persona information.

[1179] Step 7:

[1180] The server combines the high-resolution persona information with the image data to generate a one-page persona / customer journey map. This map includes basic profiles, consumer data analysis results, interest data, and image data. The generated map is saved as a PDF document.

[1181] Step 8:

[1182] The server sends the generated persona and customer journey map to the device and displays it to the user. The user can check detailed persona information through the device. A download option (e.g., PDF format) is also provided for businesses.

[1183] Step 9:

[1184] Users can share the generated persona and customer journey map on social media. The server generates a social media sharing link based on the generated map and provides it to the device. Users can easily share the results by clicking the social media sharing button on their device.

[1185] Step 10:

[1186] The server displays advertisements in appropriate locations on the device screen while the system is in use. For example, monetization is achieved by inserting advertisements in the bottom right corner of the persona information screen or in the top banner. The advertisements displayed change dynamically, and content is selected based on the user's interests.

[1187] Step 11:

[1188] The server imposes usage limits on free users. Users who exceed the daily usage limit will see the message "You have reached your daily usage limit." Paid options are available for businesses, allowing them to remove usage limits and gain access to additional features (e.g., advanced analysis functions, data export functions).

[1189] (Application example 1)

[1190] 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."

[1191] In modern logistics centers, appropriate work instructions based on employee profiles and performance data are required to ensure efficient and optimal business execution. However, there is a lack of means to provide optimal work instructions to individual employees in real time, which is an obstacle to improving efficiency and labor productivity. This problem is particularly serious in large logistics centers, and it increases the risk of delays and errors in work instructions.

[1192] 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.

[1193] In this invention, the server includes: means for a user to input profile information using a terminal; means for the server to receive the input profile information and send a profile generation request to a generation device; means for the generation device to generate a persona profile based on the received profile information; means for the server to compare the profile information with a consumer database and collect corresponding segment information; means for the generation device to generate high-resolution persona information based on the collected data; means for the generation device to generate an image based on the high-resolution persona; means for the server to generate the persona information and the image in a one-page format; means for the terminal to display the generated information to the user; means for logistics center staff to input profile information using smart glasses and receive optimal work instructions in real time; and means for the server to generate personas based on staff performance data and provide work instructions to optimize logistics processes, thereby improving the work efficiency and labor productivity of logistics centers.

[1194] "Means for users to enter profile information using a terminal" refers to software or hardware that allows logistics center staff to enter personal information such as their age, job title, and place of residence using a smart device.

[1195] The "means for the server to receive the entered profile information and send a profile generation request to the generation device" refers to an intermediate processing device that receives personal information entered by staff, transfers it to the central management system, and communicates data between the two.

[1196] "Means for generating a persona profile based on profile information received by the generating device" refers to software or hardware for creating a virtualized character model (persona) based on the received personal information of staff members.

[1197] "Means for the server to compare with consumer database and collect relevant segment information" refers to the technology that enables the server to compare staff profiles with existing consumer databases (e.g., social statistical data) and extract relevant information.

[1198] "Means for generating high-resolution persona information using a generation device based on data collected by a server" refers to technology that generates more specific and comprehensive persona information based on detailed consumer data collected by a server.

[1199] "Means by which a generating device generates an image based on a high-resolution persona" refers to technology or software for creating a visually easy-to-understand image based on the generated highly accurate persona information.

[1200] "Means for the server to generate persona information and image images in a single, comprehensive report format" refers to a technology for compiling the generated persona information and image images into a single, comprehensive report format (a single, comprehensive format).

[1201] The "means for displaying the generated information to the user by the terminal" refers to an interface for displaying the generated persona information and image on the staff member's smart device.

[1202] "A means for logistics center staff to use smart glasses to input profile information and receive optimal work instructions in real time" refers to a function or device that allows staff to input personal information through smart glasses worn by staff and receive appropriate work instructions in real time while working.

[1203] "Means for the server to generate personas based on staff performance data and provide work instructions in order to optimize logistics processes" refers to a technology in which the server analyzes staff work history and efficiency data to create the most suitable person model, and then automatically provides optimal work instructions based on that.

[1204] This invention relates to a system for improving work efficiency and labor productivity at logistics centers. Specifically, it is a system that uses smart devices to input, receive, and process staff profile information in real time, and provides work instructions based on the optimal persona profile.

[1205] Hardware and software used

[1206] 1. Hardware

[1207] Smart glasses: worn by staff and used to input personal information and receive real-time work instructions (e.g., Google Glass, Vuzix).

[1208] Device: Used to enter profile information and view persona information (e.g., smartphone, tablet).

[1209] 2. Software

[1210] Server: A system for aggregating, processing, and responding to data. Examples include web frameworks such as Django and Flask.

[1211] Database: Used to store profile information, consumer data, and work performance data (e.g., PostgreSQL).

[1212] AI model: Used for persona and image generation, for example, using machine learning libraries such as TensorFlow.

[1213] Process Overview

[1214] 1. Enter your user profile

[1215] Users (logistics center staff) use smart glasses to input their profile information, which is then sent to the server.

[1216] 2. Processing a Profile Creation Request

[1217] The server sends a profile generation request to the generator based on the received profile information, and the generator generates a persona profile based on the received parameters.

[1218] 3. Comparison with consumer data

[1219] The server accesses the consumer database and collects additional data corresponding to the entered segment information, generating a detailed persona profile that reflects the user's performance data.

[1220] 4. Generate high-resolution personas and images

[1221] The generator generates visually easy-to-understand images based on the high-resolution persona profile, and then compiles this information in a peraichi format and sends it to the server.

[1222] 5. Providing real-time work instructions

[1223] The server displays the generated persona information and corresponding work instructions on the terminal (smart glasses), allowing staff to receive optimal work instructions in real time.

[1224] Specific examples

[1225] 1. Improved staff efficiency

[1226] A staff member puts on the smart glasses and enters their profile information (age, job title, place of residence, etc.). The information is sent to a server, and a persona profile is generated by a generator. The server compares this information with consumer data and generates a high-resolution persona and image. Finally, the smart glasses display optimal work instructions in real time.

[1227] 2. Process optimization by managers

[1228] Managers can generate personas based on each staff member's performance data to provide optimal work instructions, thereby improving the work efficiency of the entire logistics center.

[1229] Example prompts for generative AI models

[1230] "Generate optimal work instructions based on performance data for a male in his 30s who works at a logistics center, is married, and lives in an urban area."

[1231] These processes and functions enable the system of the present invention to improve operational efficiency throughout the distribution center and optimize staff performance.

[1232] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1233] Step 1:

[1234] The user enters profile information using the device

[1235] Specific operation: A user who is a staff member at a logistics center uses smart glasses to input his / her profile information (e.g., age, job title, place of residence, etc.), and the input data is sent from the terminal to the server.

[1236] Input: Staff profile information

[1237] Output: Profile data sent to the server

[1238] Step 2:

[1239] The server receives the input profile information and sends a profile generation request to the generation device.

[1240] Specific operations: The server receives the profile information sent by the user and sends a profile generation request to the generation device based on this information.

[1241] Input: Profile data sent from the device

[1242] Output: Profile generation request to the generator

[1243] Step 3:

[1244] A generator generates a persona profile based on the received profile information.

[1245] How it works: The generator generates a basic persona profile based on the received profile information, using a generative AI model.

[1246] Input: Profile data to the generator

[1247] Output: Basic persona profile

[1248] Step 4:

[1249] The server compares the data with the consumer database and collects relevant segment information.

[1250] Specific operation: Based on the generated basic persona profile, the server compares it with a consumer database and collects additional relevant data (e.g., behavioral patterns, consumption trends, etc.).

[1251] Input: Basic persona profile

[1252] Output: Additional data collected

[1253] Step 5:

[1254] The server generates high-resolution persona information using a generator based on the collected data.

[1255] How it works: The server sends the additional data it has collected to the generator, which generates high-resolution persona information, again using the generative AI model.

[1256] Input: Additional data collected

[1257] Output: High-resolution persona information

[1258] Step 6:

[1259] The generator generates an image based on the high-resolution persona.

[1260] How it works: The generator generates visually easy-to-understand images based on high-resolution persona information. An AI model is used to generate the images.

[1261] Input: High-resolution persona information

[1262] Output: Image

[1263] Step 7:

[1264] The server generates persona information and images in a single format.

[1265] Specific operation: The server receives high-resolution persona information and images and generates a persona customer journey map in a one-page format.

[1266] Input: High-resolution persona information and image

[1267] Output: Persona and customer journey map

[1268] Step 8:

[1269] Displaying device-generated information to the user

[1270] Specific operation: The device displays the generated persona and customer journey map in a one-page format to the user, who can then receive optimal work instructions in real time through the smart glasses.

[1271] Input: Persona & Customer Journey Map

[1272] Output: Display and work instructions for the user

[1273] Step 9:

[1274] The server generates personas based on staff performance data and provides work instructions to optimize logistics processes.

[1275] Specific operation: The server analyzes the performance data of staff members, generates the most suitable persona, and then provides the most suitable work instructions based on the generated persona in real time.

[1276] Input: Staff performance data

[1277] Output: Optimal work instructions

[1278] 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.

[1279] The system of the present invention allows users to easily generate high-resolution personas and customer journey maps using their devices. Furthermore, the system incorporates an emotion engine that recognizes the user's emotions, enabling the generation of more detailed and personalized personas using the user's emotional information. The program's processing is described in detail below.

[1280] Explanation of program processing

[1281] 1. Enter your user profile

[1282] The user uses the device to enter profile information such as age, family structure, occupation, place of residence, etc. The entered information is sent from the device to the server.

[1283] 2. Receiving a profile creation request

[1284] The server processes the profile information received from the terminal and sends a profile generation request to the generator, which includes parameters such as the user's age, occupation, family structure, and place of residence.

[1285] 3. Collecting emotional information using an emotion engine

[1286] The emotion engine analyzes the user's facial expressions and behavior and sends the emotional information to the server. The emotion engine uses a camera and microphone to detect the user's smile and tone of voice.

[1287] 4. Base profile generation

[1288] The generator generates a base profile based on the received profile information and emotion information. This profile includes the input basic information and the personality and hobbies estimated by the generator.

[1289] 5. Comparison with consumer data

[1290] The server accesses the consumer database and collects data on target users that match the entered segment information. For example, it extracts search queries and interest data for users who are in their late 20s, male, married, and living in Tokyo.

[1291] 6. High-resolution persona generation

[1292] The server combines the collected consumer data with the base profile and emotional information created by the generator to generate high-resolution persona information, which includes specific search queries and interest data.

[1293] 7. Image Generation

[1294] The server sends high-resolution persona information to a generator and sends a request to generate an image that also takes emotional information into account. The generator then generates an image that reflects the visual characteristics of the persona.

[1295] 8. Create a persona map

[1296] The server compiles the high-resolution persona information and images to generate a one-page persona / customer journey map, which includes a basic profile, analysis results of consumer data, interest data, and images.

[1297] 9. Provision to Users

[1298] The server sends the generated persona and customer journey map to the device and displays it to the user, who can then view detailed persona information on the device.

[1299] 10. Provision of SNS sharing function

[1300] The device provides an SNS sharing button to allow the user to share the generated results on an SNS. The server generates a link for sharing on the SNS and sends it to the device.

[1301] 11. Advertising

[1302] The server displays advertisements on the terminal screen, and the terminal sets aside an advertisement space on a part of the screen while the user is using the system.

[1303] 12. Usage Limits and Billing Options

[1304] The server imposes a one-time-per-day usage limit on free users, but offers businesses the option to remove this limit through a paid option.

[1305] By using this system, personas and customer journey maps can be generated efficiently, allowing users and companies to obtain highly accurate and personalized marketing data.

[1306] Specific examples

[1307] Example 1: A male office worker in his late 20s

[1308] The user (male office worker in his late 20s, married, living in Tokyo) enters information into the device, and the emotion engine analyzes the user's facial expressions.

[1309] The server sends the information to a generator and a base profile is generated.

[1310] The server collects data for the same segment from a consumer database, and a generator generates high-resolution persona information.

[1311] An image is generated and a one-page persona and customer journey map is created.

[1312] Users can view the map on their device and share it on social media.

[1313] Example 2: Generating personas tailored to specific business needs

[1314] A company's marketing staff enters information about a specific target user (a woman in her 30s, single, living in an urban area), and the emotion engine recognizes the user's emotions.

[1315] The system generates a profile and matches it with consumer data to create a high-resolution persona.

[1316] Integrate with images to generate detailed customer journey maps.

[1317] The person in charge shares this information within the company and formulates a marketing strategy.

[1318] By using the system of this invention, it is possible to significantly improve the quality of formulating new marketing strategies and service planning. By combining it with an emotion engine, it becomes possible to generate personalized personas according to the user's emotional state, leading to more effective marketing measures.

[1319] The processing flow will be explained below.

[1320] Step 1:

[1321] The user uses the device to input profile information such as age, family structure, occupation, and place of residence, and the device then sends this input information to the server.

[1322] Step 2:

[1323] The server processes the profile information received from the terminal and sends a profile generation request to the generation device, which includes parameters such as the user's age, occupation, family structure, and place of residence.

[1324] Step 3:

[1325] The emotion engine analyzes the user's facial expressions and tone of voice and sends the emotion information to the server. The emotion engine detects the user's emotional state using the screen camera and microphone.

[1326] Step 4:

[1327] The generator generates a base profile based on the received profile information and emotion information. This base profile includes the input basic information and the personality and hobbies estimated by the generator.

[1328] Step 5:

[1329] The server accesses the consumer database and collects data on target users that match the entered segment information. The server then extracts search queries and interest data for users who match the conditions.

[1330] Step 6:

[1331] The server combines the collected consumer data with the base profile and emotional information created by the generator to generate high-resolution persona information, including specific search queries and interest data.

[1332] Step 7:

[1333] The server sends high-resolution persona information to the generator and sends a request to generate an image that also takes emotion information into consideration. The generator then creates an image based on the high-resolution persona.

[1334] Step 8:

[1335] The server combines the high-resolution persona information with the image data to generate a one-page persona / customer journey map, which includes a basic profile, analysis results of consumer data, interest data, and image data.

[1336] Step 9:

[1337] The server sends the generated persona and customer journey map to the device and displays it to the user, who can then view detailed persona information on the device.

[1338] Step 10:

[1339] The device provides a social media sharing button, allowing the user to share the generated persona and customer journey map on social media. The server generates a social media sharing link and sends it to the device.

[1340] Step 11:

[1341] The server displays advertisements on the terminal screen, and when the user uses the system, the terminal sets up an advertisement frame in an appropriate position on the screen.

[1342] Step 12:

[1343] The server imposes a one-time-per-day usage limit on free users, but offers businesses the option to remove this limit through a paid option.

[1344] Specific examples

[1345] Example 1: Use in sales promotion

[1346] A male office worker in his late twenties uses a persona generation system that uses an emotion engine.

[1347] Step 1: The user enters "late 20s, male, office worker, married, living in Tokyo" into the device and submits.

[1348] Step 2: The server receives the information.

[1349] Step 3: The emotion engine detects the user's emotion using the camera and microphone and sends the emotional state (e.g., joy) to the server.

[1350] Step 4: The generator generates a base profile based on the basic profile and emotion information.

[1351] Step 5: The server collects data that matches the conditions from the consumer database.

[1352] Step 6: The server integrates the collected data with the base profile and emotional information to generate high-resolution persona information.

[1353] Step 7: The generator generates an image based on the high-resolution persona and emotion information.

[1354] Step 8: The server compiles the generated information into a Peraichi map.

[1355] Step 9: The server sends the Peraichi map to the terminal.

[1356] Step 10: Users share their persona map using the social media sharing buttons.

[1357] Step 11: The server displays the advertisement on the device screen.

[1358] Step 12: The server limits free users to one use per day and offers paid options for businesses.

[1359] Example 2: Use in marketing analysis

[1360] A company's marketing manager creates a persona for the target user (a woman in her 30s, single, living in an urban area).

[1361] Step 1: The person in charge enters the target information into the terminal.

[1362] Step 2: The server receives the information.

[1363] Step 3: The emotion engine analyzes the emotional state and sends it to the server.

[1364] Step 4: The generator generates the base profile.

[1365] Step 5: The server collects the relevant data from the consumer database.

[1366] Step 6: Integrate collected data and emotional information to generate high-resolution personas.

[1367] Step 7: The generator generates an image based on the persona information.

[1368] Step 8: The server creates a Peraichi map.

[1369] Step 9: The server sends the map to the operator's device.

[1370] Step 10: The person in charge shares on social media.

[1371] Step 11: The server displays the advertisement on the screen.

[1372] Step 12: Remove usage restrictions with paid options.

[1373] By using this invention, it is possible to dramatically improve the accuracy of marketing strategies and service planning, and by incorporating an emotion engine, it becomes possible to generate personalized personas according to the user's emotions.

[1374] Example 2

[1375] 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."

[1376] Rather than simply inputting profile information, there is a need to generate personalized persona profiles that take into account the user's emotional state. There is also a need for a means for users to easily view and share the generated persona profiles. Furthermore, there is a need for an effective method for generating advertising revenue.

[1377] 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.

[1378] In this invention, the server includes: means for a user to input profile information using a terminal; means for the server to receive the input profile information and send a profile generation request to a generation device; means for the generation device to generate a persona profile based on the received profile information; means for the server to compare the profile information with consumer data and collect corresponding segment information; means for the generation device to generate high-resolution persona information based on the collected data; means for the generation device to generate images based on the high-resolution persona; means for an emotion engine to analyze the user's facial expressions and tone of voice and send the emotion information to the server; means for the server to collect the emotion information and generate a more detailed persona profile based on the emotion information; means for the server to generate the persona information and images in a one-page format; and means for the terminal to display the generated information to the user. This enables the generation of a detailed and personalized persona profile that incorporates the user's emotion information, thereby realizing a system that allows users to easily view and share information while improving the effectiveness of advertising displays.

[1379] A "user" is an entity that uses the system and inputs profile information and emotional information.

[1380] A "terminal" is a device that allows a user to input profile information and emotional information and view the generated information, and generally refers to a computer or smartphone.

[1381] "Profile information" refers to basic personal information such as age, occupation, family composition, and place of residence entered by the user.

[1382] The "server" is a central processing unit that processes profile information and emotion information received from users and sends requests to the generation device.

[1383] The "generation device" is a device that generates a persona profile and an image based on the profile information and emotional information sent from the server.

[1384] A "persona profile" is data that represents a detailed image of a user, including their personality and hobbies, generated based on their basic profile information and emotional information.

[1385] "Consumer data" is a database of consumer behavior and interests, and is used for advertising and marketing purposes.

[1386] "High-resolution persona information" is a detailed and personalized persona profile generated based on integrated consumer data and emotional information.

[1387] An "image" is an image that reflects the visual characteristics of a persona, generated based on high-resolution persona information.

[1388] The "peraichi format" is a document or data format that compiles persona information and images in a concise, easy-to-understand format.

[1389] The "emotion engine" is a system that uses a camera and microphone to analyze a user's facial expressions and tone of voice to extract emotional information.

[1390] "Emotion information" is data on the user's emotional state based on facial expressions and tone of voice, obtained by the emotion engine.

[1391] The "SNS sharing link" is a link for sharing the generated persona / customer journey map on social media.

[1392] "Advertising space" refers to the area in which advertisements are displayed when a user is viewing information on a terminal.

[1393] The system of this invention allows users to easily generate high-resolution persona and customer journey maps using their devices. Furthermore, by utilizing an emotion engine, it is possible to generate detailed and personalized persona profiles that include the user's emotional information.

[1394] System configuration and hardware / software used

[1395] The system consists of the following major components:

[1396] 1. Terminal

[1397] The user inputs profile information using a device (computer or smartphone) and acquires emotional information.

[1398] 2. Server

[1399] It processes the profile information and emotion information received from the user and sends a request to the generation device.

[1400] The necessary data is collected by comparing it with a consumer database.

[1401] 3. Generator

[1402] A persona profile and image are generated based on the profile information and emotional information sent from the server.

[1403] 4. Emotion Engine

[1404] Using a camera and microphone, the system analyzes the user's facial expressions and tone of voice to extract emotional information.

[1405] 5. Consumer Database

[1406] It is a database that stores data on consumer behavior and interests.

[1407] Data processing and calculation

[1408] The data processing and calculation flow of this system is shown below.

[1409] 1. Enter your user profile

[1410] The user uses the terminal to enter profile information such as age, occupation, family composition, place of residence, etc. The entered information is sent from the terminal to the server.

[1411] 2. Collecting emotional information

[1412] The user enables the camera and microphone, and the emotion engine analyzes the user's facial expressions and tone of voice. The extracted emotion information is sent to the server.

[1413] 3. Generate a persona profile

[1414] The server transmits the received profile information and emotion information to the generation device, which then generates a base profile based on these.

[1415] 4. Comparison with consumer data

[1416] The server accesses the consumer database and collects data that matches the input information.

[1417] 5. Generate high-resolution personas

[1418] The server integrates the collected consumer data and emotional information, and a generation device generates high-resolution persona information.

[1419] 6. Image Generation

[1420] The generating device generates an image based on the high-resolution persona information and transmits it to the server.

[1421] 7. Creating personas and customer journey maps

[1422] The server compiles high-resolution persona information and images to generate a one-page persona / customer journey map, which is then sent to the device and displayed to the user.

[1423] Specific examples

[1424] Example 1: A male office worker in his late 20s

[1425] The user (male office worker in his late 20s, married, living in Tokyo) inputs information into the device, and the emotion engine analyzes the user's facial expressions and sends the emotional information to the server.

[1426] The server sends the received information to a generator, which generates a base profile.

[1427] The server collects data for the same segment from a consumer database, and a generator generates high-resolution persona information.

[1428] An image is generated and a one-page persona and customer journey map is created.

[1429] Users can view the map on their device and share it on social media.

[1430] Example 2: Generating personas tailored to specific business needs

[1431] A company's marketing staff enters information about a specific target user (a woman in her 30s, single, living in an urban area), and the emotion engine recognizes the user's emotions and sends them to the server.

[1432] The server sends the profile to a generator, which matches it with consumer data to create a high-resolution persona.

[1433] A generator generates images and integrates them to generate a detailed customer journey map.

[1434] The person in charge shares this information internally and formulates a marketing strategy.

[1435] Example prompts for generative AI models

[1436] Example prompt 1:

[1437] Please create a persona and customer journey map that can be easily understood by a married male office worker in his late 20s. The map should include detailed analysis results along with images that reflect the user's occupation, age, family structure, place of residence, and emotional information.

[1438] Example prompt 2:

[1439] Create a high-resolution persona and customer journey map for a single woman in her 30s living in an urban area. Based on the target's profile information, generate detailed persona information that integrates consumer data and emotional information, and include images.

[1440] By using such a system, users and companies can quickly obtain highly accurate and personalized marketing data, improving the quality of new marketing strategies and service plans.The use of an emotion engine makes it possible to implement detailed marketing measures that correspond to the user's emotional state.

[1441] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1442] Step 1:

[1443] The user enters profile information on the device. The user opens the application, enters the required profile information such as age, occupation, family composition, and place of residence into the form, and clicks the submit button. The entered profile information is sent from the device to the server. This entered information is used in subsequent processing.

[1444] Step 2:

[1445] The server processes the profile information received from the device, analyzes and formats the information, and sends a profile generation request to the generator, which includes parameters such as the user's age, occupation, family composition, and place of residence.

[1446] Step 3:

[1447] The emotion engine collects the user's emotional information. The user enables the camera and microphone, and the device uses them to detect facial expressions and tone of voice. The emotion engine analyzes this data and extracts the user's emotional information. This extracted emotional information is sent from the device to the server.

[1448] Step 4:

[1449] The server processes the received emotion information and sends it to the generator, which then sends the emotion information along with the profile information to the generator and sends a base profile generation request, which includes the user's basic profile information and emotion information.

[1450] Step 5:

[1451] The generating device generates a base profile. Based on the received profile information and emotion information, the generating device creates a base profile. This profile includes basic profile information and personality and hobbies estimated by the generating device. The generated base profile is sent to the server.

[1452] Step 6:

[1453] The server accesses the consumer database and collates consumer data. The server searches the database for consumer data that matches the conditions of the base profile, and collects target data that matches the conditions, for example, "late 20s, male, married, residing in Tokyo." This collected data is then stored on the server.

[1454] Step 7:

[1455] The server generates high-resolution persona information by integrating the collected consumer data with the generated base profile and sentiment information. This integrated profile includes specific search queries and interest data.

[1456] Step 8:

[1457] The server sends an image generation request to the generation device. The generation device receives the request to generate an image based on high-resolution persona information, taking into account emotional information. The generated image is sent to the server.

[1458] Step 9:

[1459] The server generates a one-page persona and customer journey map. High-resolution persona information and images are compiled and the server creates a one-page customer journey map. This map includes a basic profile, analysis results of consumer data, interest data, and images.

[1460] Step 10:

[1461] The server sends the generated persona and customer journey map to the device, where the user can view detailed persona information. The map is presented in an easy-to-use interface to help users understand.

[1462] Step 11:

[1463] The device provides a social media sharing button. When the user clicks the share button, the server generates a social media sharing link and sends it to the device. This sharing link allows the user to easily share the generated persona and customer journey map on social media.

[1464] Step 12:

[1465] The server displays advertisements on the terminal screen. While the user is using the system, an advertising space is set aside on the terminal screen and relevant advertisements are displayed there. This allows the user to earn advertising revenue while using the system.

[1466] Step 13:

[1467] The server provides usage limits and billing options. Free users are limited to one use per day, but businesses can purchase billing options to remove this limit. Businesses can purchase billing options to increase usage frequency.

[1468] (Application example 2)

[1469] 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."

[1470] Conventional persona generation systems were unable to fully incorporate user emotional information, resulting in insufficient personalization for individual customers. Furthermore, in brick-and-mortar stores, it was difficult to grasp customer profile information and emotions in real time, making it difficult to provide appropriate customer service and marketing responses.

[1471] The identification process by the identification 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 a user to input profile information using a terminal; means for the server to receive the input profile information and send a profile generation request to the generation device; means for the generation device to generate a persona profile based on the received profile information; means for the server to compare the data with a consumer database and collect corresponding segment information; means for the generation device to generate high-resolution persona information based on the data collected by the server; means for the generation device to generate an image based on the high-resolution persona; means for the server to generate persona information and an image in a one-page format; means for the terminal to display the generated information to the user; and means for displaying customer emotion information and profile information in real time using smart glasses or a head-mounted display. This enables high-resolution personalized persona information to be acquired and displayed in real time even in physical stores, enabling more effective customer service and marketing initiatives.

[1472] A "terminal" is a device used by a user to enter information and view results.

[1473] A "server" is a computer system that receives input information from a user, performs the necessary processing and checks it against a database, and sends instructions to the generation device.

[1474] A "generation device" is a system that generates profile and persona information based on a request from a server.

[1475] "Profile information" is information such as age, occupation, family structure, and place of residence entered by the user.

[1476] A "persona profile" is a user model that is generated by a generation device based on profile information.

[1477] A "consumer database" is a database that accumulates data on consumers' hobbies, preferences, and behavior.

[1478] "High-resolution persona information" refers to detailed user models and profiles that are generated based on data collected by the server.

[1479] An "image image" is an image that reflects visual features generated by a generation device based on high-resolution persona information.

[1480] "One-page format" is a format in which information is summarized on one page.

[1481] "Smart glasses" are devices that can display information to a user's field of vision when worn by the user.

[1482] A "head-mounted display" is a display device that is worn on the user's head.

[1483] "Emotional information" refers to the user's emotional state, which is analyzed from the user's facial expression, tone of voice, and so on.

[1484] The system of this invention is a method for users to generate high-resolution persona and customer journey maps via their devices. Furthermore, by incorporating an emotion engine, it is possible to utilize the user's emotional information to generate more detailed and personalized personas. The specific configuration and operating procedures of this system are described below.

[1485] Hardware and software used

[1486] Hardware

[1487] Device: A smartphone or tablet where users enter information.

[1488] Smart glasses: A device for displaying customer information and sentiment information in real time.

[1489] Head-mounted display: Used to display customer information and emotional information in real time.

[1490] software

[1491] OpenCV: Image processing library. Used for face detection and facial expression analysis.

[1492] Dlib: A machine learning library used for face detection and emotion recognition.

[1493] EmotionRecognizer: A custom model for predicting emotions from facial images.

[1494] ProfileGenerator: A custom class that generates estimated profile information.

[1495] System operation procedures

[1496] 1. Enter your profile information

[1497] The user uses a device to enter profile information such as age, occupation, family composition, and place of residence, which creates a basic database of the persona.

[1498] 2. Submit a profile creation request

[1499] The server receives the profile information input from the terminal and sends a profile generation request to the generation device based on the received profile information.

[1500] 3. Collecting emotional information

[1501] The emotion engine analyzes the user's facial expressions, tone of voice, etc. and sends emotional information to the server. The emotion engine uses the camera and microphone.

[1502] 4. Generate a base profile

[1503] The generator integrates the received profile information and emotional information to generate a base profile, which includes the input data and analyzed personality and hobbies.

[1504] 5. Comparison with consumer database

[1505] The server accesses the consumer database and collects data that matches the input segment information.

[1506] 6. Generate high-resolution personas

[1507] Based on the collected data and base profile, the generator generates high-resolution persona information.

[1508] 7. Use persona information

[1509] Using smart glasses and head-mounted displays, the behavior and facial expressions of customers in the store are analyzed in real time and displayed to store staff.

[1510] Specific examples

[1511] For example, when smart glasses are used in a physical store, the glasses worn by the store clerk will display customer profile information and emotional information in real time. If a customer shows interest in a particular product, detailed information related to that product will be displayed, allowing the store clerk to provide appropriate customer service.

[1512] Prompt Sentence Examples

[1513] An example of a prompt sentence might be:

[1514] Write a Python code for glasses that will recognize customers' faces and their emotions in real time and generate a profile based on their past visit history.

[1515] Based on this invention, it will be possible to improve customer service in physical stores and increase the accuracy of marketing strategies.

[1516] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1517] Step 1:

[1518] The user uses a terminal to input profile information. The user enters information such as age, occupation, family structure, and place of residence into an input form on the terminal. This becomes the initial input data to the system. The input profile information includes the user's basic demographic information.

[1519] input:

[1520] User's age, occupation, family structure, place of residence

[1521] output:

[1522] Profile Information Data

[1523] Step 2:

[1524] The terminal sends the entered profile information to the server, which receives this data and prepares it to send a profile generation request to the generator, which defines the request structure and sends it to the generator with the necessary information.

[1525] input:

[1526] Profile Information Data

[1527] output:

[1528] Profile Generation Request

[1529] Step 3:

[1530] The emotion engine is activated and analyzes the user's facial expressions and tone of voice. The emotion engine uses a camera and microphone to capture the user's facial expressions and voice in real time, and extracts emotional information using expression analysis algorithms and voice analysis algorithms.

[1531] input:

[1532] Camera footage, audio data

[1533] output:

[1534] Emotional information data

[1535] Step 4:

[1536] The generation device integrates the received profile information and emotion information to generate a base profile. Based on the profile information and emotion information, the generation device uses an automated algorithm to estimate attributes related to the user's personality and hobbies.

[1537] input:

[1538] Profile information data, emotional information data

[1539] output:

[1540] Base Profile Data

[1541] Step 5:

[1542] The server accesses a consumer database to collect data that matches the entered segment information, including behavioral and interest data of other users with similar profiles.

[1543] input:

[1544] Base Profile Data

[1545] output:

[1546] Consumer Data

[1547] Step 6:

[1548] The generator generates high-resolution persona information based on consumer data and base profiles obtained from the server, and uses advanced AI algorithms to create a detailed persona model.

[1549] input:

[1550] Consumer data, base profile data

[1551] output:

[1552] High-resolution persona information

[1553] Step 7:

[1554] A generator generates images based on the high-resolution persona information, the images reflecting visual characteristics for the persona and providing a visual profile.

[1555] input:

[1556] High-resolution persona information

[1557] output:

[1558] Image

[1559] Step 8:

[1560] The server generates high-resolution persona information and images in a single, unified format, and then converts this data into a single, integrated document that can be easily viewed by users.

[1561] input:

[1562] High-resolution persona information and images

[1563] output:

[1564] Persona Customer Journey Map

[1565] Step 9:

[1566] The device displays the persona and customer journey map retrieved from the server to the user, who can then view detailed persona information on the device screen.

[1567] input:

[1568] Persona Customer Journey Map

[1569] output:

[1570] Screen display

[1571] Step 10:

[1572] Smart glasses or head-mounted displays are used to display customers' emotional and profile information in real time, allowing store staff to respond to customers quickly and effectively.

[1573] input:

[1574] High-resolution persona information, emotional information

[1575] output:

[1576] Real-time information displayed on glasses or displays

[1577] 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.

[1578] 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.

[1579] 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.

[1580] [Fourth embodiment]

[1581] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1582] 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.

[1583] 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).

[1584] 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.

[1585] 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.

[1586] 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).

[1587] 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.

[1588] 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.

[1589] 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.

[1590] 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.

[1591] 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.

[1592] 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.

[1593] 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."

[1594] The system of this invention allows users to easily generate high-resolution persona customer journey maps using their devices. This system achieves highly accurate and efficient persona generation by linking a server, device, generation device, and consumer database.

[1595] Explanation of program processing

[1596] 1. Enter your user profile

[1597] The user uses the device to enter profile information such as age, family structure, occupation, and place of residence, which is then sent from the device to the server.

[1598] 2. Receiving a profile creation request

[1599] The server processes the profile information received from the terminal and sends a profile generation request to the generation device, including the user's age, occupation, family structure, and place of residence as necessary parameters.

[1600] 3. Base profile generation

[1601] The generator generates a base profile for the persona based on the received parameters. This profile includes the input basic information and the generator's inferences (such as personality and hobbies).

[1602] 4. Comparison with consumer data

[1603] The server accesses the consumer database and collects data on target users that match the input segment information, thereby obtaining data such as user search queries and interests.

[1604] 5. High-resolution persona generation

[1605] The server uses a generator to generate high-resolution persona information based on the collected data. By incorporating actual consumer data into this profile, a more specific persona image is formed.

[1606] 6. Image Generation

[1607] The server passes the high-resolution persona information to a generator, which uses AI to generate an image corresponding to the persona, which visually represents the persona's characteristics.

[1608] 7. Create a persona map

[1609] The server compiles the high-resolution persona information and images to generate a one-page persona / customer journey map, which includes a basic profile, analysis results of consumer data, interest data, and images.

[1610] 8. Provision to Users

[1611] The server sends the generated persona and customer journey map to the device and displays it to the user. The user can check detailed persona information through the device. Businesses can also download the map in PDF format.

[1612] 9. Provision of SNS sharing function

[1613] Users can share the generated persona and customer journey map on social media. The server generates a social media sharing link and provides it to the device. Users can share the results using the social media sharing button on their device.

[1614] 10. Advertising

[1615] The server displays advertisements at appropriate positions on the device screen while the system is in use, thereby monetizing the system.

[1616] 11. Usage Limits and Billing Options

[1617] The server limits free users to one use per day, but for businesses, paid options are available to remove this limit and unlock additional features and services.

[1618] Specific examples

[1619] Example 1: A male office worker in his late 20s

[1620] The user (male office worker in his late 20s, married, living in Tokyo) enters information on the device and clicks the send button.

[1621] The server sends this information to the generator and a base profile is generated.

[1622] The server collects data for the same segment from a consumer database, and a generator generates high-resolution persona information.

[1623] An image is generated and a one-page persona and customer journey map is created.

[1624] Users can view the map on their device and share it on social media.

[1625] Example 2: Generating personas tailored to specific business needs

[1626] A company's marketing staff enters information about a specific target user (a woman in her 30s, single, living in an urban area).

[1627] The system generates a profile and matches it with consumer data to create a high-resolution persona.

[1628] Integrate with images to generate detailed customer journey maps.

[1629] The person in charge shares this information within the company and formulates a marketing strategy.

[1630] By using the system of the present invention, it is possible to improve the efficiency and accuracy of the conventional persona creation process. In particular, by utilizing a large amount of user data, it becomes possible to generate high-resolution persona information, which can significantly improve the quality of marketing strategies and service plans.

[1631] The processing flow will be explained below.

[1632] Step 1:

[1633] The user uses the device to input profile information such as age, family structure, occupation, and place of residence, and the device then sends this input information to the server.

[1634] Step 2:

[1635] The server processes the profile information received from the terminal and sends a profile generation request to the generation device, which includes parameters such as the user's age, occupation, family structure, and place of residence.

[1636] Step 3:

[1637] The generator generates a base profile based on the received parameters. This base profile includes the input basic information and the personality and hobbies (e.g., watching movies, visiting cafes) estimated by the generator.

[1638] Step 4:

[1639] The server accesses the consumer database and collects data on target users that match the entered segment information. For example, it extracts search queries and interest data for users who are in their late 20s, male, married, and living in Tokyo.

[1640] Step 5:

[1641] The server combines the collected consumer data with the base profile created by the generator to generate high-resolution persona information, which includes specific search queries (e.g., buying an apartment) and interest data (e.g., finance, outdoors).

[1642] Step 6:

[1643] The server transmits high-resolution persona information to the generation device and sends a request to generate an image based on the information, and the generation device generates an image corresponding to the persona.

[1644] Step 7:

[1645] The server compiles high-resolution persona information and images to generate a persona / customer journey map in a peraichi format, which includes a basic profile, analysis results of consumer data, interest data, and images.

[1646] Step 8:

[1647] The server sends the generated persona and customer journey map to the device and displays it to the user, who can then view detailed persona information on the device.

[1648] Step 9:

[1649] The device provides an SNS sharing button to allow the user to share the generated results on an SNS. The server generates a link for sharing on the SNS and sends it to the device.

[1650] Step 10:

[1651] The server displays advertisements on the terminal screen, and the terminal sets aside an advertisement space on a part of the screen while the user is using the system.

[1652] Step 11:

[1653] The server imposes a one-time-per-day usage limit on free users, but offers businesses the option to remove this limit through a paid option.

[1654] This specific process allows users to efficiently generate high-resolution persona and customer journey maps, and companies can use this information to develop effective marketing strategies and service plans.

[1655] Example 1

[1656] 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."

[1657] Generating personas and customer journey maps in the past required a great deal of effort and time, and it was difficult to reflect consumer data in real time. This resulted in problems that reduced the accuracy of marketing strategies and service planning. There was also a lack of convenient functions for sharing the information generated by users. Furthermore, there were no appropriate methods for monetizing the system or for lifting usage restrictions.

[1658] 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.

[1659] In this invention, the server includes: a means for a user to input profile information using a terminal; a means for the server to receive the input profile information and send a profile generation request to a generation device; a means for the generation device to generate a persona profile based on the received profile information; a means for the server to compare the input profile information with a consumer database and collect relevant segment information; a means for the generation device to generate high-resolution persona information based on the collected data; a means for the generation device to generate an image based on the high-resolution persona; a means for the server to generate a summary of the persona information and the image in a one-page format; a means for the terminal to display the generated information to the user; a means for the user to share the generated persona customer journey map on a social networking site using the terminal; a means for the server to display advertisements on the terminal screen; and a means for the server to set a daily usage limit for free users and lift the usage limit with a paid option. This enables efficient use of large amounts of user data to generate highly accurate persona information in real time, improving the quality of marketing strategies and service planning. It also provides a function for easily sharing the generated information on social networking sites, as well as appropriate monetization and usage limit lifting mechanisms.

[1660] "User" refers to a person who operates a terminal, inputs profile information, and uses the system.

[1661] "Device" refers to the device (e.g., smartphone, computer, tablet) used by a User to enter Profile Information.

[1662] "Profile information" refers to information about a user, such as age, family structure, occupation, and place of residence.

[1663] "Server" refers to a central device that processes profile information received from users and generates persona information in cooperation with a generation device and a consumer database.

[1664] "Generation device" refers to a device or system that generates persona profiles, high-resolution persona information, and images based on profile information sent from the server.

[1665] A "consumer database" refers to a database that stores data about consumers (e.g., search queries, interest data, purchasing history) and that a server accesses and collects the data.

[1666] "Persona profile" refers to a profile that models a user and is generated by a generation device based on profile information.

[1667] "High-resolution persona information" refers to detailed and specific persona information generated based on collected data.

[1668] "Image" refers to a visual representation of a persona that is generated based on high-resolution persona information.

[1669] "One-page format" refers to a format in which the generated persona information and image are compiled on one page.

[1670] A "persona customer journey map" is a map that visualizes a user's customer journey, including persona information, consumer data analysis results, interest data, and image images.

[1671] "SNS sharing link" refers to the link for sharing the generated persona customer journey map on social media.

[1672] "Advertising space" refers to the space for advertisements that is displayed on the terminal screen while using the system.

[1673] "Paid Option" refers to a paid option that removes usage restrictions for free users and enables additional functions and services.

[1674] This invention is a system that allows users to easily generate high-resolution persona customer journey maps using a device. The system achieves efficient and highly accurate persona generation by linking a server, device, generation device, and consumer database.

[1675] First, the user uses a terminal to input their own profile information (such as age, family structure, occupation, and place of residence). This information is sent from the terminal to the server. The server analyzes the received profile information and sends it to the generation device as a profile generation request. At this time, the user's age, occupation, family structure, and place of residence are included as necessary parameters.

[1676] Next, the generator generates a base profile for the persona based on the received parameters. This profile includes the input basic information and the generator's inferences (personality, hobbies, etc.). The server then accesses a consumer database and collects data on target users that match the input segment information. This data includes user search queries and interest data.

[1677] Based on this collected data, the server uses a generator to generate high-resolution persona information. This profile reflects actual consumer data, forming a more specific persona image. The server then passes the high-resolution persona information to the generator, which uses AI to generate an image corresponding to the persona. This image visually represents the persona's characteristics.

[1678] The server then compiles the high-resolution persona information and images to generate a one-page persona / customer journey map. This map includes a basic profile, consumer data analysis results, interest data, and images. Finally, the server sends the generated persona / customer journey map to the device and displays it to the user. The user can view detailed persona information on their device. Businesses are also provided with the option to download the map in PDF format or other formats.

[1679] This system also allows users to share the generated persona and customer journey map on social media. The server generates a social media sharing link and provides it to the device. This allows users to easily share the results using the social media sharing button on their device. The system also monetizes by displaying advertisements in appropriate positions on the device screen while the system is in use. The server limits free users to one use per day, and offers paid options to lift the limit and provide additional features and services to businesses.

[1680] As a specific example, a male office worker in his late twenties enters information on a device, which is then sent to a server that generates a base profile and high-resolution persona information. The server then collects data from a consumer database, generates an image based on the high-resolution persona information, and creates a one-page persona customer journey map. This map can be viewed on the device and can also be shared on social media.

[1681] Examples of prompts to input to a generative AI model include:

[1682] "Generate a persona for a male office worker in his late 20s and create a high-resolution customer journey map. Basic information includes that he is married and lives in Tokyo."

[1683] This makes it possible to efficiently use large amounts of user data to generate highly accurate persona information in real time, improving the quality of marketing strategies and service planning.It also makes it possible to provide a function that allows the generated information to be easily shared on social media, as well as appropriate means of monetization and removal of usage restrictions.

[1684] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1685] Step 1:

[1686] The user uses the device to enter profile information. This input includes age, family structure, occupation, place of residence, etc. For example, the user enters information such as "30 years old, living in Tokyo, married, working for an IT company" and clicks the submit button. This generates the input data and sends it to the server.

[1687] Step 2:

[1688] The server receives the profile information sent from the device. The received data is analyzed in a structured format, including age, occupation, family structure, and place of residence. The server then sends a profile generation request to the generation device based on the analysis results. This request includes the user's basic information.

[1689] Step 3:

[1690] The generator generates a base profile for the persona based on the profile information received from the server. The generator uses an AI model to estimate personality, hobbies, and other attributes from the input basic information, and adds attributes such as "loves the outdoors and is sensitive to technological trends." As a result, a base profile is generated.

[1691] Step 4:

[1692] The server receives the base profile from the generator and accesses the consumer database. It collects data that matches the input segment information (e.g., "30 years old, living in Tokyo, married"). The server executes SQL queries to obtain consumer data such as search queries, interest data, and purchase history. The collected data is stored in a structured format.

[1693] Step 5:

[1694] The server uses a generator to generate high-resolution persona information based on the collected consumer data. The generator adds actual consumer data to the base profile to create a specific persona profile, such as "a 30-year-old male who works for an IT company, loves the outdoors, and is sensitive to technology trends." Because this profile contains detailed information, it is saved in high resolution.

[1695] Step 6:

[1696] The server passes the high-resolution persona information to a generator, which uses AI to generate an image corresponding to the persona. The generator then generates an image to visually express the persona's characteristics, outputting, for example, an image of a person in a suit operating a smartphone. This image is then associated with the high-resolution persona information.

[1697] Step 7:

[1698] The server combines the high-resolution persona information with the image data to generate a one-page persona / customer journey map. This map includes basic profiles, consumer data analysis results, interest data, and image data. The generated map is saved as a PDF document.

[1699] Step 8:

[1700] The server sends the generated persona and customer journey map to the device and displays it to the user. The user can check detailed persona information through the device. A download option (e.g., PDF format) is also provided for businesses.

[1701] Step 9:

[1702] Users can share the generated persona and customer journey map on social media. The server generates a social media sharing link based on the generated map and provides it to the device. Users can easily share the results by clicking the social media sharing button on their device.

[1703] Step 10:

[1704] The server displays advertisements in appropriate locations on the device screen while the system is in use. For example, monetization is achieved by inserting advertisements in the bottom right corner of the persona information screen or in the top banner. The advertisements displayed change dynamically, and content is selected based on the user's interests.

[1705] Step 11:

[1706] The server imposes usage limits on free users. Users who exceed the daily usage limit will see the message "You have reached your daily usage limit." Paid options are available for businesses, allowing them to remove usage limits and gain access to additional features (e.g., advanced analysis functions, data export functions).

[1707] (Application example 1)

[1708] 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."

[1709] In modern logistics centers, appropriate work instructions based on employee profiles and performance data are required to ensure efficient and optimal business execution. However, there is a lack of means to provide optimal work instructions to individual employees in real time, which is an obstacle to improving efficiency and labor productivity. This problem is particularly serious in large logistics centers, and it increases the risk of delays and errors in work instructions.

[1710] 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.

[1711] In this invention, the server includes: means for a user to input profile information using a terminal; means for the server to receive the input profile information and send a profile generation request to a generation device; means for the generation device to generate a persona profile based on the received profile information; means for the server to compare the profile information with a consumer database and collect corresponding segment information; means for the generation device to generate high-resolution persona information based on the collected data; means for the generation device to generate an image based on the high-resolution persona; means for the server to generate the persona information and the image in a one-page format; means for the terminal to display the generated information to the user; means for logistics center staff to input profile information using smart glasses and receive optimal work instructions in real time; and means for the server to generate personas based on staff performance data and provide work instructions to optimize logistics processes, thereby improving the work efficiency and labor productivity of logistics centers.

[1712] "Means for users to enter profile information using a terminal" refers to software or hardware that allows logistics center staff to enter personal information such as their age, job title, and place of residence using a smart device.

[1713] The "means for the server to receive the entered profile information and send a profile generation request to the generation device" refers to an intermediate processing device that receives personal information entered by staff, transfers it to the central management system, and communicates data between the two.

[1714] "Means for generating a persona profile based on profile information received by the generating device" refers to software or hardware for creating a virtualized character model (persona) based on the received personal information of staff members.

[1715] "Means for the server to compare with consumer database and collect relevant segment information" refers to the technology that enables the server to compare staff profiles with existing consumer databases (e.g., social statistical data) and extract relevant information.

[1716] "Means for generating high-resolution persona information using a generation device based on data collected by a server" refers to technology that generates more specific and comprehensive persona information based on detailed consumer data collected by a server.

[1717] "Means by which a generating device generates an image based on a high-resolution persona" refers to technology or software for creating a visually easy-to-understand image based on the generated highly accurate persona information.

[1718] "Means for the server to generate persona information and image images in a single, comprehensive report format" refers to a technology for compiling the generated persona information and image images into a single, comprehensive report format (a single, comprehensive format).

[1719] The "means for displaying the generated information to the user by the terminal" refers to an interface for displaying the generated persona information and image on the staff member's smart device.

[1720] "A means for logistics center staff to use smart glasses to input profile information and receive optimal work instructions in real time" refers to a function or device that allows staff to input personal information through smart glasses worn by staff and receive appropriate work instructions in real time while working.

[1721] "Means for the server to generate personas based on staff performance data and provide work instructions in order to optimize logistics processes" refers to a technology in which the server analyzes staff work history and efficiency data to create the most suitable person model, and then automatically provides optimal work instructions based on that.

[1722] This invention relates to a system for improving work efficiency and labor productivity at logistics centers. Specifically, it is a system that uses smart devices to input, receive, and process staff profile information in real time, and provides work instructions based on the optimal persona profile.

[1723] Hardware and software used

[1724] 1. Hardware

[1725] Smart glasses: worn by staff and used to input personal information and receive real-time work instructions (e.g., Google Glass, Vuzix).

[1726] Device: Used to enter profile information and view persona information (e.g., smartphone, tablet).

[1727] 2. Software

[1728] Server: A system for aggregating, processing, and responding to data. Examples include web frameworks such as Django and Flask.

[1729] Database: Used to store profile information, consumer data, and work performance data (e.g., PostgreSQL).

[1730] AI model: Used for persona and image generation, for example, using machine learning libraries such as TensorFlow.

[1731] Process Overview

[1732] 1. Enter your user profile

[1733] Users (logistics center staff) use smart glasses to input their profile information, which is then sent to the server.

[1734] 2. Processing a Profile Creation Request

[1735] The server sends a profile generation request to the generator based on the received profile information, and the generator generates a persona profile based on the received parameters.

[1736] 3. Comparison with consumer data

[1737] The server accesses the consumer database and collects additional data corresponding to the entered segment information, generating a detailed persona profile that reflects the user's performance data.

[1738] 4. Generate high-resolution personas and images

[1739] The generator generates visually easy-to-understand images based on the high-resolution persona profile, and then compiles this information in a peraichi format and sends it to the server.

[1740] 5. Providing real-time work instructions

[1741] The server displays the generated persona information and corresponding work instructions on the terminal (smart glasses), allowing staff to receive optimal work instructions in real time.

[1742] Specific examples

[1743] 1. Improved staff efficiency

[1744] A staff member puts on the smart glasses and enters their profile information (age, job title, place of residence, etc.). The information is sent to a server, and a persona profile is generated by a generator. The server compares this information with consumer data and generates a high-resolution persona and image. Finally, the smart glasses display optimal work instructions in real time.

[1745] 2. Process optimization by managers

[1746] Managers can generate personas based on each staff member's performance data to provide optimal work instructions, thereby improving the work efficiency of the entire logistics center.

[1747] Example prompts for generative AI models

[1748] "Generate optimal work instructions based on performance data for a male in his 30s who works at a logistics center, is married, and lives in an urban area."

[1749] These processes and functions enable the system of the present invention to improve operational efficiency throughout the distribution center and optimize staff performance.

[1750] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1751] Step 1:

[1752] The user enters profile information using the device

[1753] Specific operation: A user who is a staff member at a logistics center uses smart glasses to input his / her profile information (e.g., age, job title, place of residence, etc.), and the input data is sent from the terminal to the server.

[1754] Input: Staff profile information

[1755] Output: Profile data sent to the server

[1756] Step 2:

[1757] The server receives the input profile information and sends a profile generation request to the generation device.

[1758] Specific operations: The server receives the profile information sent by the user and sends a profile generation request to the generation device based on this information.

[1759] Input: Profile data sent from the device

[1760] Output: Profile generation request to the generator

[1761] Step 3:

[1762] A generator generates a persona profile based on the received profile information.

[1763] How it works: The generator generates a basic persona profile based on the received profile information, using a generative AI model.

[1764] Input: Profile data to the generator

[1765] Output: Basic persona profile

[1766] Step 4:

[1767] The server compares the data with the consumer database and collects relevant segment information.

[1768] Specific operation: Based on the generated basic persona profile, the server compares it with a consumer database and collects additional relevant data (e.g., behavioral patterns, consumption trends, etc.).

[1769] Input: Basic persona profile

[1770] Output: Additional data collected

[1771] Step 5:

[1772] The server generates high-resolution persona information using a generator based on the collected data.

[1773] How it works: The server sends the additional data it has collected to the generator, which generates high-resolution persona information, again using the generative AI model.

[1774] Input: Additional data collected

[1775] Output: High-resolution persona information

[1776] Step 6:

[1777] The generator generates an image based on the high-resolution persona.

[1778] How it works: The generator generates visually easy-to-understand images based on high-resolution persona information. An AI model is used to generate the images.

[1779] Input: High-resolution persona information

[1780] Output: Image

[1781] Step 7:

[1782] The server generates persona information and images in a single format.

[1783] Specific operation: The server receives high-resolution persona information and images and generates a persona customer journey map in a one-page format.

[1784] Input: High-resolution persona information and image

[1785] Output: Persona and customer journey map

[1786] Step 8:

[1787] Displaying device-generated information to the user

[1788] Specific operation: The device displays the generated persona and customer journey map in a one-page format to the user, who can then receive optimal work instructions in real time through the smart glasses.

[1789] Input: Persona & Customer Journey Map

[1790] Output: Display and work instructions for the user

[1791] Step 9:

[1792] The server generates personas based on staff performance data and provides work instructions to optimize logistics processes.

[1793] Specific operation: The server analyzes the performance data of staff members, generates the most suitable persona, and then provides the most suitable work instructions based on the generated persona in real time.

[1794] Input: Staff performance data

[1795] Output: Optimal work instructions

[1796] 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.

[1797] The system of the present invention allows users to easily generate high-resolution personas and customer journey maps using their devices. Furthermore, the system incorporates an emotion engine that recognizes the user's emotions, enabling the generation of more detailed and personalized personas using the user's emotional information. The program's processing is described in detail below.

[1798] Explanation of program processing

[1799] 1. Enter your user profile

[1800] The user uses the device to enter profile information such as age, family structure, occupation, place of residence, etc. The entered information is sent from the device to the server.

[1801] 2. Receiving a profile creation request

[1802] The server processes the profile information received from the terminal and sends a profile generation request to the generator, which includes parameters such as the user's age, occupation, family structure, and place of residence.

[1803] 3. Collecting emotional information using an emotion engine

[1804] The emotion engine analyzes the user's facial expressions and behavior and sends the emotional information to the server. The emotion engine uses a camera and microphone to detect the user's smile and tone of voice.

[1805] 4. Base profile generation

[1806] The generator generates a base profile based on the received profile information and emotion information. This profile includes the input basic information and the personality and hobbies estimated by the generator.

[1807] 5. Comparison with consumer data

[1808] The server accesses the consumer database and collects data on target users that match the entered segment information. For example, it extracts search queries and interest data for users who are in their late 20s, male, married, and living in Tokyo.

[1809] 6. High-resolution persona generation

[1810] The server combines the collected consumer data with the base profile and emotional information created by the generator to generate high-resolution persona information, which includes specific search queries and interest data.

[1811] 7. Image Generation

[1812] The server sends high-resolution persona information to a generator and sends a request to generate an image that also takes emotional information into account. The generator then generates an image that reflects the visual characteristics of the persona.

[1813] 8. Create a persona map

[1814] The server compiles the high-resolution persona information and images to generate a one-page persona / customer journey map, which includes a basic profile, analysis results of consumer data, interest data, and images.

[1815] 9. Provision to Users

[1816] The server sends the generated persona and customer journey map to the device and displays it to the user, who can then view detailed persona information on the device.

[1817] 10. Provision of SNS sharing function

[1818] The device provides an SNS sharing button to allow the user to share the generated results on an SNS. The server generates a link for sharing on the SNS and sends it to the device.

[1819] 11. Advertising

[1820] The server displays advertisements on the terminal screen, and the terminal sets aside an advertisement space on a part of the screen while the user is using the system.

[1821] 12. Usage Limits and Billing Options

[1822] The server imposes a one-time-per-day usage limit on free users, but offers businesses the option to remove this limit through a paid option.

[1823] By using this system, personas and customer journey maps can be generated efficiently, allowing users and companies to obtain highly accurate and personalized marketing data.

[1824] Specific examples

[1825] Example 1: A male office worker in his late 20s

[1826] The user (male office worker in his late 20s, married, living in Tokyo) enters information into the device, and the emotion engine analyzes the user's facial expressions.

[1827] The server sends the information to a generator and a base profile is generated.

[1828] The server collects data for the same segment from a consumer database, and a generator generates high-resolution persona information.

[1829] An image is generated and a one-page persona and customer journey map is created.

[1830] Users can view the map on their device and share it on social media.

[1831] Example 2: Generating personas tailored to specific business needs

[1832] A company's marketing staff enters information about a specific target user (a woman in her 30s, single, living in an urban area), and the emotion engine recognizes the user's emotions.

[1833] The system generates a profile and matches it with consumer data to create a high-resolution persona.

[1834] Integrate with images to generate detailed customer journey maps.

[1835] The person in charge shares this information within the company and formulates a marketing strategy.

[1836] By using the system of this invention, it is possible to significantly improve the quality of formulating new marketing strategies and service planning. By combining it with an emotion engine, it becomes possible to generate personalized personas according to the user's emotional state, leading to more effective marketing measures.

[1837] The processing flow will be explained below.

[1838] Step 1:

[1839] The user uses the device to input profile information such as age, family structure, occupation, and place of residence, and the device then sends this input information to the server.

[1840] Step 2:

[1841] The server processes the profile information received from the terminal and sends a profile generation request to the generation device, which includes parameters such as the user's age, occupation, family structure, and place of residence.

[1842] Step 3:

[1843] The emotion engine analyzes the user's facial expressions and tone of voice and sends the emotion information to the server. The emotion engine detects the user's emotional state using the screen camera and microphone.

[1844] Step 4:

[1845] The generator generates a base profile based on the received profile information and emotion information. This base profile includes the input basic information and the personality and hobbies estimated by the generator.

[1846] Step 5:

[1847] The server accesses the consumer database and collects data on target users that match the entered segment information. The server then extracts search queries and interest data for users who match the conditions.

[1848] Step 6:

[1849] The server combines the collected consumer data with the base profile and emotional information created by the generator to generate high-resolution persona information, including specific search queries and interest data.

[1850] Step 7:

[1851] The server sends high-resolution persona information to the generator and sends a request to generate an image that also takes emotion information into consideration. The generator then creates an image based on the high-resolution persona.

[1852] Step 8:

[1853] The server combines the high-resolution persona information with the image data to generate a one-page persona / customer journey map, which includes a basic profile, analysis results of consumer data, interest data, and image data.

[1854] Step 9:

[1855] The server sends the generated persona and customer journey map to the device and displays it to the user, who can then view detailed persona information on the device.

[1856] Step 10:

[1857] The device provides a social media sharing button, allowing the user to share the generated persona and customer journey map on social media. The server generates a social media sharing link and sends it to the device.

[1858] Step 11:

[1859] The server displays advertisements on the terminal screen, and when the user uses the system, the terminal sets up an advertisement frame in an appropriate position on the screen.

[1860] Step 12:

[1861] The server imposes a one-time-per-day usage limit on free users, but offers businesses the option to remove this limit through a paid option.

[1862] Specific examples

[1863] Example 1: Use in sales promotion

[1864] A male office worker in his late twenties uses a persona generation system that uses an emotion engine.

[1865] Step 1: The user enters "late 20s, male, office worker, married, living in Tokyo" into the device and submits.

[1866] Step 2: The server receives the information.

[1867] Step 3: The emotion engine detects the user's emotion using the camera and microphone and sends the emotional state (e.g., joy) to the server.

[1868] Step 4: The generator generates a base profile based on the basic profile and emotion information.

[1869] Step 5: The server collects data that matches the conditions from the consumer database.

[1870] Step 6: The server integrates the collected data with the base profile and emotional information to generate high-resolution persona information.

[1871] Step 7: The generator generates an image based on the high-resolution persona and emotion information.

[1872] Step 8: The server compiles the generated information into a Peraichi map.

[1873] Step 9: The server sends the Peraichi map to the terminal.

[1874] Step 10: Users share their persona map using the social media sharing buttons.

[1875] Step 11: The server displays the advertisement on the device screen.

[1876] Step 12: The server limits free users to one use per day and offers paid options for businesses.

[1877] Example 2: Use in marketing analysis

[1878] A company's marketing manager creates a persona for the target user (a woman in her 30s, single, living in an urban area).

[1879] Step 1: The person in charge enters the target information into the terminal.

[1880] Step 2: The server receives the information.

[1881] Step 3: The emotion engine analyzes the emotional state and sends it to the server.

[1882] Step 4: The generator generates the base profile.

[1883] Step 5: The server collects the relevant data from the consumer database.

[1884] Step 6: Integrate collected data and emotional information to generate high-resolution personas.

[1885] Step 7: The generator generates an image based on the persona information.

[1886] Step 8: The server creates a Peraichi map.

[1887] Step 9: The server sends the map to the operator's device.

[1888] Step 10: The person in charge shares on social media.

[1889] Step 11: The server displays the advertisement on the screen.

[1890] Step 12: Remove usage restrictions with paid options.

[1891] By using this invention, it is possible to dramatically improve the accuracy of marketing strategies and service planning, and by incorporating an emotion engine, it becomes possible to generate personalized personas according to the user's emotions.

[1892] Example 2

[1893] 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."

[1894] Rather than simply inputting profile information, there is a need to generate personalized persona profiles that take into account the user's emotional state. There is also a need for a means for users to easily view and share the generated persona profiles. Furthermore, there is a need for an effective method for generating advertising revenue.

[1895] 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.

[1896] In this invention, the server includes: means for a user to input profile information using a terminal; means for the server to receive the input profile information and send a profile generation request to a generation device; means for the generation device to generate a persona profile based on the received profile information; means for the server to compare the profile information with consumer data and collect corresponding segment information; means for the generation device to generate high-resolution persona information based on the collected data; means for the generation device to generate images based on the high-resolution persona; means for an emotion engine to analyze the user's facial expressions and tone of voice and send the emotion information to the server; means for the server to collect the emotion information and generate a more detailed persona profile based on the emotion information; means for the server to generate the persona information and images in a one-page format; and means for the terminal to display the generated information to the user. This enables the generation of a detailed and personalized persona profile that incorporates the user's emotion information, thereby realizing a system that allows users to easily view and share information while improving the effectiveness of advertising displays.

[1897] A "user" is an entity that uses the system and inputs profile information and emotional information.

[1898] A "terminal" is a device that allows a user to input profile information and emotional information and view the generated information, and generally refers to a computer or smartphone.

[1899] "Profile information" refers to basic personal information such as age, occupation, family composition, and place of residence entered by the user.

[1900] The "server" is a central processing unit that processes profile information and emotion information received from users and sends requests to the generation device.

[1901] The "generation device" is a device that generates a persona profile and an image based on the profile information and emotional information sent from the server.

[1902] A "persona profile" is data that represents a detailed image of a user, including their personality and hobbies, generated based on their basic profile information and emotional information.

[1903] "Consumer data" is a database of consumer behavior and interests, and is used for advertising and marketing purposes.

[1904] "High-resolution persona information" is a detailed and personalized persona profile generated based on integrated consumer data and emotional information.

[1905] An "image" is an image that reflects the visual characteristics of a persona, generated based on high-resolution persona information.

[1906] The "peraichi format" is a document or data format that compiles persona information and images in a concise, easy-to-understand format.

[1907] The "emotion engine" is a system that uses a camera and microphone to analyze a user's facial expressions and tone of voice to extract emotional information.

[1908] "Emotion information" is data on the user's emotional state based on facial expressions and tone of voice, obtained by the emotion engine.

[1909] The "SNS sharing link" is a link for sharing the generated persona / customer journey map on social media.

[1910] "Advertising space" refers to the area in which advertisements are displayed when a user is viewing information on a terminal.

[1911] The system of this invention allows users to easily generate high-resolution persona and customer journey maps using their devices. Furthermore, by utilizing an emotion engine, it is possible to generate detailed and personalized persona profiles that include the user's emotional information.

[1912] System configuration and hardware / software used

[1913] The system consists of the following major components:

[1914] 1. Terminal

[1915] The user inputs profile information using a device (computer or smartphone) and acquires emotional information.

[1916] 2. Server

[1917] It processes the profile information and emotion information received from the user and sends a request to the generation device.

[1918] The necessary data is collected by comparing it with a consumer database.

[1919] 3. Generator

[1920] A persona profile and image are generated based on the profile information and emotional information sent from the server.

[1921] 4. Emotion Engine

[1922] Using a camera and microphone, the system analyzes the user's facial expressions and tone of voice to extract emotional information.

[1923] 5. Consumer Database

[1924] It is a database that stores data on consumer behavior and interests.

[1925] Data processing and calculation

[1926] The data processing and calculation flow of this system is shown below.

[1927] 1. Enter your user profile

[1928] The user uses the terminal to enter profile information such as age, occupation, family composition, place of residence, etc. The entered information is sent from the terminal to the server.

[1929] 2. Collecting emotional information

[1930] The user enables the camera and microphone, and the emotion engine analyzes the user's facial expressions and tone of voice. The extracted emotion information is sent to the server.

[1931] 3. Generate a persona profile

[1932] The server transmits the received profile information and emotion information to the generation device, which then generates a base profile based on these.

[1933] 4. Comparison with consumer data

[1934] The server accesses the consumer database and collects data that matches the input information.

[1935] 5. Generate high-resolution personas

[1936] The server integrates the collected consumer data and emotional information, and a generation device generates high-resolution persona information.

[1937] 6. Image Generation

[1938] The generating device generates an image based on the high-resolution persona information and transmits it to the server.

[1939] 7. Creating personas and customer journey maps

[1940] The server compiles high-resolution persona information and images to generate a one-page persona / customer journey map, which is then sent to the device and displayed to the user.

[1941] Specific examples

[1942] Example 1: A male office worker in his late 20s

[1943] The user (male office worker in his late 20s, married, living in Tokyo) inputs information into the device, and the emotion engine analyzes the user's facial expressions and sends the emotional information to the server.

[1944] The server sends the received information to a generator, which generates a base profile.

[1945] The server collects data for the same segment from a consumer database, and a generator generates high-resolution persona information.

[1946] An image is generated and a one-page persona and customer journey map is created.

[1947] Users can view the map on their device and share it on social media.

[1948] Example 2: Generating personas tailored to specific business needs

[1949] A company's marketing staff enters information about a specific target user (a woman in her 30s, single, living in an urban area), and the emotion engine recognizes the user's emotions and sends them to the server.

[1950] The server sends the profile to a generator, which matches it with consumer data to create a high-resolution persona.

[1951] A generator generates images and integrates them to generate a detailed customer journey map.

[1952] The person in charge shares this information internally and formulates a marketing strategy.

[1953] Example prompts for generative AI models

[1954] Example prompt 1:

[1955] Please create a persona and customer journey map that can be easily understood by a married male office worker in his late 20s. The map should include detailed analysis results along with images that reflect the user's occupation, age, family structure, place of residence, and emotional information.

[1956] Example prompt 2:

[1957] Create a high-resolution persona and customer journey map for a single woman in her 30s living in an urban area. Based on the target's profile information, generate detailed persona information that integrates consumer data and emotional information, and include images.

[1958] By using such a system, users and companies can quickly obtain highly accurate and personalized marketing data, improving the quality of new marketing strategies and service plans.The use of an emotion engine makes it possible to implement detailed marketing measures that correspond to the user's emotional state.

[1959] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1960] Step 1:

[1961] The user enters profile information on the device. The user opens the application, enters the required profile information such as age, occupation, family composition, and place of residence into the form, and clicks the submit button. The entered profile information is sent from the device to the server. This entered information is used in subsequent processing.

[1962] Step 2:

[1963] The server processes the profile information received from the device, analyzes and formats the information, and sends a profile generation request to the generator, which includes parameters such as the user's age, occupation, family composition, and place of residence.

[1964] Step 3:

[1965] The emotion engine collects the user's emotional information. The user enables the camera and microphone, and the device uses them to detect facial expressions and tone of voice. The emotion engine analyzes this data and extracts the user's emotional information. This extracted emotional information is sent from the device to the server.

[1966] Step 4:

[1967] The server processes the received emotion information and sends it to the generator, which then sends the emotion information along with the profile information to the generator and sends a base profile generation request, which includes the user's basic profile information and emotion information.

[1968] Step 5:

[1969] The generating device generates a base profile. Based on the received profile information and emotion information, the generating device creates a base profile. This profile includes basic profile information and personality and hobbies estimated by the generating device. The generated base profile is sent to the server.

[1970] Step 6:

[1971] The server accesses the consumer database and collates consumer data. The server searches the database for consumer data that matches the conditions of the base profile, and collects target data that matches the conditions, for example, "late 20s, male, married, residing in Tokyo." This collected data is then stored on the server.

[1972] Step 7:

[1973] The server generates high-resolution persona information by integrating the collected consumer data with the generated base profile and sentiment information. This integrated profile includes specific search queries and interest data.

[1974] Step 8:

[1975] The server sends an image generation request to the generation device. The generation device receives the request to generate an image based on high-resolution persona information, taking into account emotional information. The generated image is sent to the server.

[1976] Step 9:

[1977] The server generates a one-page persona and customer journey map. High-resolution persona information and images are compiled and the server creates a one-page customer journey map. This map includes a basic profile, analysis results of consumer data, interest data, and images.

[1978] Step 10:

[1979] The server sends the generated persona and customer journey map to the device, where the user can view detailed persona information. The map is presented in an easy-to-use interface to help users understand.

[1980] Step 11:

[1981] The device provides a social media sharing button. When the user clicks the share button, the server generates a social media sharing link and sends it to the device. This sharing link allows the user to easily share the generated persona and customer journey map on social media.

[1982] Step 12:

[1983] The server displays advertisements on the terminal screen. While the user is using the system, an advertising space is set aside on the terminal screen and relevant advertisements are displayed there. This allows the user to earn advertising revenue while using the system.

[1984] Step 13:

[1985] The server provides usage limits and billing options. Free users are limited to one use per day, but businesses can purchase billing options to remove this limit. Businesses can purchase billing options to increase usage frequency.

[1986] (Application example 2)

[1987] 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."

[1988] Conventional persona generation systems were unable to fully incorporate user emotional information, resulting in insufficien...

Claims

1. a means for a user to input profile information using the terminal; a server receiving the input profile information and sending a profile generation request to the generation device; means for generating a persona profile based on the profile information received by the generating device; A means for the server to compare the data with a consumer database and collect relevant segment information; means for generating high-resolution persona information using a generating device based on the data collected by the server; A generating device generates an image based on the high-resolution persona; A means for the server to collectively generate persona information and image images in a one-page format; The system includes means for displaying the generated information to a user.

2. The system according to claim 1, further comprising means for generating the generated persona / customer journey map as a social networking service sharing link and providing it to the terminal.

3. 2. The system according to claim 1, further comprising means for the server to provide a currently displayed advertisement frame to the user and display the advertisement on the terminal screen.

4. 2. The system according to claim 1, wherein the server includes means for applying usage restrictions to free users and for removing the usage restrictions by means of a billing option.

Images