system

Abstract

A system is provided.SOLUTION: A means in which a user inputs merchandise information, target layer information, a message to be conveyed, and an NG item, a means in which a terminal transmits the input information to a server, a means in which the server automatically generates a catch phrase, POP, and an appealing object by using a generative artificial intelligence based on the transmitted information, and a means in which the server sets a virtual user; The system includes a means for generating a plurality of patterns and performing effect verification, a means for selecting an optimum catch phrase, POP, and appealing object based on a result of the effect verification by a server, and a means for displaying the selected optimum catch phrase, POP, and appealing object to a user by 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 product sales, creating catchy slogans and advertisements that appeal to customers is extremely important. However, conventional methods require manual effort, which requires time and effort, making it difficult to do this efficiently and effectively. Other issues include the time required to verify the effectiveness of multiple patterns and the trial and error required to find the optimal appeal. The present invention aims to solve these problems and enable the creation of effective appeals simply and quickly. [Means for solving the problem]

[0005] The present invention is a system that includes the following means: a means for a user to input product information, target demographic information, desired message, and no-no items; a means for a terminal to transmit the input information to a server; a means for the server to automatically generate a catchy slogan, POP, and appeal using generative artificial intelligence based on the transmitted information; a means for the server to set up virtual users, generate multiple patterns, and verify effectiveness; a means for the server to select the optimal catchy slogan, POP, and appeal based on the results of the effectiveness verification; and a means for a terminal to display the selected optimal catchy slogan, POP, and appeal to the user. This allows users to quickly and efficiently obtain appeals that are expected to be highly effective.

[0006] A "user" is a person or entity whose role is to input product information, target demographic information, desired messages, and prohibited items into the system.

[0007] A "terminal" is hardware or software that processes information entered by a user and transmits it to a server.

[0008] A "server" is a central computer system that receives information sent from terminals and processes and analyzes it using generative artificial intelligence.

[0009] "Generative artificial intelligence" is an AI technology that uses natural language processing and machine learning models to automatically generate catchy slogans, POPs, appealing materials, etc. based on input information.

[0010] A "catchphrase" is a phrase that briefly and concisely conveys the appeal of a product or service.

[0011] "POP" refers to promotional materials used in sales areas, and is a printed or digital display used to highlight product information and selling points.

[0012] "Appeal" is a general term for advertising and promotional materials used to encourage the purchase of a product or service.

[0013] A "virtual user" is a simulated user with behavioral patterns similar to those of an actual user, and is a virtual entity used to verify effectiveness.

[0014] "Effectiveness verification" is the process of evaluating how effective the generated catchphrases and appeals are with the target users.

[0015] "Selection" refers to the act of choosing the most appropriate slogan or appeal based on the results of effectiveness verification. [Brief explanation of the drawings]

[0016] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11]FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0017] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0018] First, the terms used in the following description will be explained.

[0019] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

[0020] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0021] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0022] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0023] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0024] [First embodiment]

[0025] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0026] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0027] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0028] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0029] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0030] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0031] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

[0032] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0033] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0034] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0035] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0036] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0037] The present invention is a system in which the user inputs product information, target demographic information, the message they want to convey, and any items that are not allowed, and the terminal sends this to the server, which then uses generative artificial intelligence to automatically generate catchy slogans, POPs, and appeals, verifies their effectiveness using virtual users, selects the most suitable ones, and provides them to the user again via the terminal.

[0038] Natural language explanation of program processing

[0039] User operations

[0040] The user inputs the product name, product features, target demographic information (age group, gender, etc.), the message they want to convey, and items that should not be displayed via the terminal.

[0041] Device operation

[0042] The terminal receives the input information, checks the data format, and if there are no errors, converts it into an appropriate format such as JSON and sends it to the server.

[0043] Server Operations

[0044] The server receives the data sent from the device, stores it in a database, and then passes the data to the generative artificial intelligence module.

[0045] Generative AI automatically generates catchy slogans, POP displays, and advertising materials based on input information. The generation process uses natural language processing and machine learning algorithms.

[0046] For example, a catchy slogan such as "Innovative Thermo Mug - Stylish and highly insulating for everyday life!" or a POP such as "A must-see for women in their 20s and 30s! Introducing the innovative Thermo Mug!" can be generated.

[0047] Effectiveness verification

[0048] The server runs a virtual user simulation to verify the effectiveness of multiple variations of generated catchphrases and appeals. The virtual users are constructed based on past behavioral data and similar market data, and simulate the reactions of the target demographic.

[0049] For example, the catchphrase "Innovative Thermo Mug - Stylish and highly insulating for everyday life!" was rated at 85 points, while the POP "For women in their 20s and 30s, a must-see! Introducing the innovative Thermo Mug!" was rated at 78 points.

[0050] Optimization and Selection

[0051] Based on the results of the effectiveness verification, the server selects the most highly rated catchphrases and appeals, which are then provided to the user as the optimal marketing copy.

[0052] Providing results

[0053] The terminal receives the optimal catchphrase and appeal from the server and displays it to the user, who can then carry out effective marketing activities based on it.

[0054] Specific examples

[0055] 1. The user enters the following information:

[0056] Product Name: "Innovative Thermo Mug"

[0057] Target age group: 25-35

[0058] Target Gender: "Female"

[0059] Product Features: "Stylish and highly effective at retaining heat"

[0060] Message we want to convey: "Make every day more comfortable"

[0061] No-no: "Heavy"

[0062] 2. The device receives this, formats it correctly, and sends it to the server.

[0063] 3. The server receives the data, and the generative AI generates a catchy slogan such as "Innovative Thermo Mug - Enjoy a stylish and warm everyday life!" and a POP that reads "For women in their 20s and 30s, a must-see! Introducing the innovative Thermo Mug!"

[0064] 4. The server conducts effectiveness testing using virtual users, and the catchphrase is rated 85 points and the POP is rated 78 points.

[0065] 5. The server selects the most suitable catchphrase and provides it to the user via the terminal.

[0066] 6. Users can carry out effective marketing activities using the optimal catchphrases provided.

[0067] The above is a specific embodiment for carrying out the present invention, which enables users to quickly carry out effective and efficient marketing activities.

[0068] The processing flow will be explained below.

[0069] Step 1:

[0070] The user enters product information, target demographic information, the message they want to convey, and items that should not be displayed via the terminal.

[0071] Step 2:

[0072] The terminal receives the entered information and checks the data format to see if there are any errors or omissions.

[0073] Step 3:

[0074] The device converts the confirmed information into an appropriate format, such as JSON, and sends it to the server.

[0075] Step 4:

[0076] The server receives the data sent from the terminal and temporarily stores it in a database or memory.

[0077] Step 5:

[0078] The server passes the stored data to a generative AI module, which uses natural language processing and machine learning models to automatically generate slogans, POPs, and promotional materials.

[0079] Step 6:

[0080] The server runs a virtual user simulation to verify the effectiveness of multiple variations of generated copy and appeals. The virtual users' reactions are simulated based on past behavioral data and similar market data.

[0081] Step 7:

[0082] Based on the results of the effectiveness verification, the server selects the slogan and appeal that receive the highest score.

[0083] Step 8:

[0084] The server sends the selected optimal slogan and appeal back to the terminal.

[0085] Step 9:

[0086] The device displays the most suitable catchphrase or appeal to the user.

[0087] Step 10:

[0088] Marketing activities are carried out based on catchphrases and appeals provided by users.

[0089] Example 1

[0090] 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."

[0091] Conventional marketing copy generation systems require a lot of manual work to create catchy slogans and promotional materials, which requires a lot of time and effort. Furthermore, there was a lack of a way to verify the actual effectiveness beforehand, which made the effectiveness of the generated copy unclear. Furthermore, the lack of accurate simulations using past data made it difficult to effectively market to the target demographic.

[0092] 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.

[0093] In this invention, the server includes means for automatically generating catchphrases, promotional materials, and advertising materials using generative artificial intelligence, means for verifying the effectiveness of multiple patterns using virtual users, and means for selecting optimal catchphrases, promotional materials, and advertising materials based on the results of the effectiveness verification, thereby enabling users to quickly and accurately generate effective marketing copy and verify its effectiveness in the actual market in advance.

[0094] "User" refers to an individual or organization that uses the system to enter product information, target demographic information, the message they wish to convey, and any prohibited items.

[0095] "Terminal" refers to an electronic device or equipment used by a user to input and transmit information.

[0096] "Server" refers to a central processing unit that receives and stores information sent from a terminal, and then uses generative artificial intelligence to automatically generate catchy slogans, promotional materials, and advertising materials, verifies their effectiveness, selects the most suitable ones, and provides them to the user.

[0097] "Generative AI" refers to AI technology that uses natural language processing and machine learning algorithms to automatically generate slogans, promotional materials, and advertising materials from input information.

[0098] A "catchphrase" is a short phrase that succinctly expresses the features and appeal of a product or service and appeals to the target audience.

[0099] "Promotional materials" refers to media such as advertising and promotional documents, images, and videos created to promote products and services.

[0100] "Advertising materials" refers to promotional materials such as posters, leaflets, and banner advertisements that are produced to convey information about products and services.

[0101] "Virtual users" refers to fictitious users in software that are constructed based on historical behavioral data and similar market data to simulate the reactions of target demographics.

[0102] "Effectiveness verification" refers to the process of evaluating the impact that the generated catchphrases, promotional materials, and advertising materials have on the target audience.

[0103] "Optimization" refers to the process of selecting the most highly rated slogans, promotional materials, and advertising materials based on the results of effectiveness verification.

[0104] The present invention is a system for improving the efficiency and effectiveness of product marketing activities. Specific embodiments of the system will be described below.

[0105] First, the user uses the device to input the necessary information. This information includes "product information" such as the product name and features, "target demographic information" such as the target age group and gender, the desired message, and any items that should not be displayed.

[0106] Next, the terminal checks the data format of the information entered by the user. After confirming that there are no errors at this stage, it converts the information into an appropriate format (e.g., JSON format) and sends it to the server. This process typically uses an API request.

[0107] The server receives the data sent from the device and stores it in a database. At this time, data integrity and authentication processes are also performed in parallel. The stored data becomes input to the subsequent generative AI module.

[0108] The server then uses generative artificial intelligence to automatically generate slogans, promotional materials, and advertising materials. Generative AI utilizes natural language processing and machine learning algorithms to generate optimal marketing language based on the input information. For example, it generates a slogan such as "Innovative Thermo Mug - Enjoy a stylish and warm everyday life!" or a POP display that reads, "A must-see for women in their 20s and 30s! Introducing the innovative Thermo Mug!"

[0109] After generation, the server performs effectiveness testing using virtual users. Virtual users are simulated based on past behavioral data and similar market data to evaluate the effectiveness of the generated slogans, promotional materials, and advertising materials. The results of this simulation may yield a score of 85 for the slogan and 78 for the POP, for example.

[0110] Based on the evaluation results, the server selects the most suitable catchphrases, promotional materials, and advertising materials. This process is carried out by analyzing the results of effectiveness verification.

[0111] Finally, the server sends the selected optimal marketing phrases to the terminal, which then displays them to the user, allowing the user to quickly carry out effective marketing activities based on the selected phrases displayed.

[0112] Specific examples

[0113] For example, if the user enters the following information:

[0114] Product Name: Innovative Thermo Mug

[0115] Target age group: 25-35

[0116] Target Gender: Female

[0117] Product Features: Stylish and highly effective insulated

[0118] Message to convey: Make every day more comfortable

[0119] No-no: Heavy

[0120] Based on this information, effective catchphrases, promotional materials, and advertising materials are generated through the process described above, enabling users to plan and implement marketing activities quickly and accurately.

[0121] The above is a specific embodiment for carrying out the present invention. It is expected that this system will improve the efficiency and effectiveness of marketing operations.

[0122] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0123] Step 1: User Enters Information

[0124] The user enters the product name and features, target demographic information (e.g., age group, gender), the message they want to convey, and any prohibited items into an input form on their device. This provides the basic data that the system needs to obtain the necessary information. The entered information is temporarily saved as text data on the device.

[0125] Step 2: Check the data on your device

[0126] The terminal checks the format of the data entered by the user. It verifies that there are no errors in the format or content of the input values, and if an error is detected, it prompts the user to correct it. Correctly entered data is converted into a format that can be applied to subsequent processing (e.g., JSON format). An example of input data would be in the following format:

[0127] {

[0128] "product_name": "Innovative Thermo Mug",

[0129] "target_age_group": "25-35",

[0130] "target_gender": "female",

[0131] "product_features": "Stylish and warm",

[0132] "key_message": "Make every day more comfortable",

[0133] "ng_items": ["heavy"]

[0134] }

[0135] Step 3: The device sends the data to the server

[0136] The device sends properly formatted data to the server, which communicates using API requests, and verifies that the input data was sent correctly.

[0137] Step 4: The server receives and stores the data

[0138] The server receives the data sent from the device and stores it in a database, during which data integrity and authentication processes are carried out in parallel, and the stored data is used for subsequent processing.

[0139] Step 5: The server provides the data to the generative AI

[0140] The server provides the data stored in the database to the generative AI. Based on this data, the generative AI generates catchphrases, promotional materials, and advertising materials. Data reception and provision is performed within the server via an API.

[0141] Step 6: Generative AI generates taglines, promotional materials, and advertising materials

[0142] Generative AI uses natural language processing and machine learning algorithms to automatically generate catchphrases, promotional materials, and advertising materials based on input information. For example, a catchphrase might be generated: "Innovative Thermo Mug - Stylish and highly effective insulation for everyday life!" The generated data is then sent back to the server.

[0143] Step 7: Test the server with virtual users

[0144] The server then tests the effectiveness of the generated multiple catchphrases and promotional materials on virtual users. The virtual users are simulated based on past behavioral data and similar market data, and the effectiveness of the generated phrases is predicted. This process calculates a score for each phrase.

[0145] Step 8: The server selects the best wording

[0146] The server selects the optimal catchphrase and promotional materials based on the results of the effectiveness verification. The most highly rated phrase is selected based on the evaluation scores of the virtual users. This selection data is then sent to the terminal.

[0147] Step 9: The device displays the most appropriate text to the user.

[0148] The terminal receives the optimal catchphrases and promotional materials sent from the server and displays them to the user, who can then check the displayed text and carry out effective marketing activities based on it.

[0149] These are the specific processing steps of the program for this system. Through this process, users can automatically generate effective marketing copy and use it quickly and accurately.

[0150] (Application example 1)

[0151] 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."

[0152] In advertising campaigns, it is extremely important to generate effective slogans and appeals in a short amount of time and to confirm their effectiveness on the target audience in advance. However, conventional methods rely heavily on human creativity, which is time-consuming and costly, and it is difficult to guarantee effectiveness. In particular, the effectiveness of generated advertising copy cannot be fully verified because the vast amount of past behavioral data and similar market data is not fully utilized. The purpose of this invention is to solve these problems and realize effective and efficient generation and verification of advertising copy.

[0153] 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.

[0154] In this invention, the server includes a means for inputting data into the generative artificial intelligence using prompt sentences, a means for utilizing past behavioral data and similar market data through virtual user simulation, and a means for calculating the effectiveness score of the generated catchphrases and POPs. This makes it possible to automatically generate multiple catchphrases and appeals based on product information and target demographic information entered by the user, and verify their effectiveness through virtual user simulation, thereby easily and quickly selecting the optimal advertising wording.

[0155] "User" refers to the person who inputs product information, target demographic information, desired message, and prohibited items into the system.

[0156] "Product information" refers to information regarding the product name, features, use, etc. that is entered into the system.

[0157] "Target demographic information" refers to information such as age group, gender, interests, etc. that is set as the target of advertising.

[0158] "The message you want to convey" refers to the main message used to communicate the value of a product or service through advertising or catchphrases.

[0159] "NG items" refer to words and expressions that should be avoided when creating advertising copy or catchy slogans.

[0160] "Terminal" refers to a device that transmits information entered by a user to a server. Examples include smartphones, tablets, and personal computers.

[0161] "Server" refers to a computer system that receives data entered by users and uses generative artificial intelligence to generate slogans and appeals and verify their effectiveness.

[0162] "Generative artificial intelligence" refers to technology that automatically generates catchy slogans, POPs, and appealing materials using natural language processing and machine learning models.

[0163] A "catchphrase" is a short, catchy sentence generated by generative artificial intelligence and used in advertisements and appeals.

[0164] "POP" refers to promotional materials used in advertising, product displays, etc. For example, it includes posters and signs used in stores.

[0165] "Appeals" refers to advertising media and texts used to communicate the characteristics and appeal of a product to consumers.

[0166] "Virtual User" refers to a fictitious user constructed based on historical behavioral data and similar market data and used for the purpose of simulating the effectiveness of generated advertising copy.

[0167] "Effectiveness verification" refers to the process of evaluating the effectiveness of generated catchphrases and appeals using virtual users.

[0168] A "prompt sentence" refers to an introductory or instruction sentence used when inputting data into a generative artificial intelligence.

[0169] The "effectiveness score" refers to an evaluation value that indicates how effective the generated catchphrase or POP is for the virtual user.

[0170] This invention is a system in which the user inputs product information, target demographic information, the message they want to convey, and any items they don't want, and the terminal sends this to a server, which then uses generative artificial intelligence to automatically generate catch phrases, POPs, and appeals, and selects the most suitable advertising message.

[0171] System Configuration

[0172] This system includes a terminal used by the user, a server that processes data, and generative artificial intelligence. The terminals are common devices such as smartphones, tablets, and PCs, and the server is a cloud server or a server in a data center.

[0173] Processing flow

[0174] The server receives product information, target demographic information, desired message, and prohibited items entered by the user through their device and stores them in a database. It then uses generative AI to generate slogans and POPs, and tests their effectiveness using virtual users. Based on the results of the effectiveness test, it selects the optimal slogan and POP and returns them to the user.

[0175] Technology used

[0176] Generative AI uses natural language processing and machine learning models to generate catchy slogans, POPs, and promotional materials. Specific AI modules include language models such as GPT-3 (registered trademark). These language models perform the generation process by inputting prompt sentences.

[0177] Specific examples

[0178] For example, if a user enters the following information:

[0179] Product Name: "Innovative Thermo Mug"

[0180] Target age group: 25-35

[0181] Target Gender: "Female"

[0182] Product Features: "Stylish and highly effective at retaining heat"

[0183] Message we want to convey: "Make every day more comfortable"

[0184] No-no: "Heavy"

[0185] The server receives this information and inputs the following prompt into the generative artificial intelligence:

[0186] Product Name: Innovative Thermo Mug

[0187] Target: Women aged 25-35

[0188] Product Features: Stylish and highly effective insulated

[0189] Message to convey: Make every day more comfortable

[0190] No-no: Heavy

[0191] Generation: Catchphrases and POP

[0192] Based on the above prompt, the generative artificial intelligence generates a catchphrase such as "Innovative Thermo Mug - Enjoy a stylish and warm everyday life!" and a POP that reads, "For women aged 25-35, a must-see! Introducing the innovative Thermo Mug!"

[0193] The server then verifies the effectiveness of the generated advertising copy through virtual user simulation, and for example, the tagline is rated at 85 points and the POP at 78 points. The optimal tagline and POP are then selected and provided to the user.

[0194] This invention enables users to effectively and efficiently generate and verify advertising copy, enabling them to quickly carry out optimal marketing activities.

[0195] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0196] Step 1:

[0197] The user enters product information, target demographic information, the message they want to convey, and any items that should not be included into the terminal.

[0198] Input: Product name, target demographic information (age group, gender, etc.), product features, desired message, prohibited items

[0199] Output: Receiving user input data at the terminal

[0200] Specific operation: The user enters the necessary information into the device's input form, which the device saves as internal data.

[0201] Step 2:

[0202] The terminal converts the input information into JSON format and sends it to the server.

[0203] Input: Information entered by the user (product name, target demographic information, product features, desired message, prohibited items)

[0204] Output: JSON format data, sent to server

[0205] Specific operation: The terminal checks the data entered by the user, converts it into JSON format, and then sends the data to the server via internet communication.

[0206] Step 3:

[0207] The server receives the transmitted information and stores it in a database.

[0208] Input: JSON format data

[0209] Output: User-entered data stored in a database

[0210] Specific operation: The server parses the received JSON data and stores it in the database.

[0211] Step 4:

[0212] The server generates a prompt sentence in the generative artificial intelligence module, passes the data, and generates a catchphrase, POP, and appealing materials.

[0213] Input: User-entered data stored in a database

[0214] Output: Generated taglines, POPs, and appeals

[0215] What happens: The server retrieves the necessary information from the database and generates the following prompt:

[0216] Product Name: Innovative Thermo Mug

[0217] Target: Women aged 25-35

[0218] Product Features: Stylish and highly effective insulated

[0219] Message to convey: Make every day more comfortable

[0220] No-no: Heavy

[0221] Generation: Catchphrases and POP

[0222] This prompt text is input into a generative artificial intelligence (such as GPT-3) to generate a catchy slogan or POP.

[0223] Step 5:

[0224] The server uses virtual users to verify the effectiveness of the generated catchphrases and POPs.

[0225] Input: Generated tagline, POP, historical behavior data, similar market data

[0226] Output: Calculated effectiveness score

[0227] Specific operation: The virtual user simulation module simulates the effectiveness of the generated catchphrases and POPs based on past behavioral data and similar market data. It calculates an effectiveness score and saves the results on the server.

[0228] Step 6:

[0229] The server selects the most suitable catchphrase, POP, and appeal based on the results of the effectiveness verification.

[0230] Input: Calculated effectiveness score

[0231] Output: Optimal copy, POP, and appeal materials

[0232] Specific operation: The server compares the effectiveness scores of multiple catchphrases and POPs and selects the one with the highest score.

[0233] Step 7:

[0234] The terminal displays the selected optimum catchphrase, POP, and appeal to the user.

[0235] Input: Optimal tagline, POP, and appeal

[0236] Output: Copy, POP, and promotional materials displayed on the terminal

[0237] Specific operation: The server sends the selected optimal slogan and POP to the terminal, which displays them to the user. The user can then review them and use them in their marketing activities.

[0238] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0239] The present invention combines an emotion engine with a system in which the user inputs product information, target demographic information, the message they want to convey, and any items that are not allowed, and the terminal sends this to a server, which then uses generative artificial intelligence to automatically generate catchy slogans, POPs, and appeals, and after verifying their effectiveness with virtual users, selects the most suitable ones and provides them to the user again via the terminal.

[0240] Natural language explanation of program processing

[0241] User operations

[0242] The user inputs the product name, product features, target demographic information (age group, gender, etc.), the words they want to convey, and any items they do not want to convey via the terminal. At this time, the user's facial expressions and voice are analyzed by the emotion engine.

[0243] Device operation

[0244] The device receives user input and simultaneously receives emotion recognition results from the emotion engine. Once the emotion recognition results are obtained, they are added to the input data and sent to the server.

[0245] Server Operations

[0246] The server receives the data sent from the device and temporarily stores it in a database or memory. It then passes the data to a generative AI module for processing, including the emotion recognition results.

[0247] The generative AI module uses natural language processing and machine learning models to automatically generate catchphrases, POP displays, and promotional materials based on product information and user emotions. By incorporating the results of emotion recognition, marketing language appropriate to the user's current emotional state is generated.

[0248] For example, when a user generates a catchphrase such as "Innovative Thermo Mug - Enjoy a stylish and warm everyday life!" or a POP such as "A must-see for women in their 20s and 30s! Introducing the innovative Thermo Mug!", the system makes adjustments based on the analysis results of the emotion engine.

[0249] Emotion-Based Adjustments

[0250] Based on the emotion recognition results, the server generates a message that encourages the user to adjust their emotional state. For example, if the user is feeling stressed, the server may suggest inputting in a relaxed state.

[0251] Effectiveness verification

[0252] The server runs a virtual user simulation to verify the effectiveness of multiple variations of generated catchphrases and appeals. The virtual users' reactions are simulated based on past behavioral data and similar market data.

[0253] For example, the catchphrase "Innovative Thermo Mug - Stylish and highly insulating for everyday life!" was rated at 85 points, while the POP "For women in their 20s and 30s, a must-see! Introducing the innovative Thermo Mug!" was rated at 78 points.

[0254] Optimization and Selection

[0255] The server selects the most highly rated catchphrases and appeals based on the results of the effectiveness verification, and dynamically regenerates them to respond to changes in user emotions.

[0256] Providing results

[0257] The terminal receives the optimal catchphrase and appeal from the server and displays it to the user, who can then carry out effective marketing activities based on it.

[0258] Specific examples

[0259] 1. The user enters the following information:

[0260] Product Name: "Innovative Thermo Mug"

[0261] Target age group: 25-35

[0262] Target Gender: "Female"

[0263] Product Features: "Stylish and highly effective at retaining heat"

[0264] Message we want to convey: "Make every day more comfortable"

[0265] No-no: "Heavy"

[0266] 2. The device uses an emotion engine to analyze the user's facial expressions and voice, and obtains emotion recognition results. At the same time, the input information is converted to JSON format and sent to the server along with the emotion recognition results.

[0267] 3. The server receives the data, and the generative AI generates a POP display such as a catchphrase "Innovative Thermo Mug - Stylish and highly effective for everyday use!" or "A must-see for women in their 20s and 30s! Introducing the innovative Thermo Mug!" The display adapts based on the user's emotions.

[0268] 4. The server conducts effectiveness testing using virtual users, and the catchphrase is rated 85 points and the POP is rated 78 points.

[0269] 5. The server selects the most appropriate catchphrase and provides dynamically adjusted appeals according to the user's emotional state.

[0270] 6. The device displays the most suitable slogan and appeal to the user, who then uses this information to carry out marketing activities.

[0271] The above is a specific embodiment for implementing the present invention in combination with an emotion engine, which enables users to quickly obtain appeals that are expected to be highly effective, effective, and efficient.

[0272] The processing flow will be explained below.

[0273] MODE FOR CARRYING OUT THE INVENTION (PROCESS FLOW)

[0274] Step 1:

[0275] Users input product information, target demographic information, the message they want to convey, and any items they don't want to include via a terminal. As they input information, the terminal uses a camera and microphone to capture the user's facial expressions and voice in real time.

[0276] Step 2:

[0277] The device sends the facial expression and voice data it acquires along with the input information to the emotion engine, which then uses facial expression recognition and voice analysis technologies to analyze the user's emotions and generate emotion recognition results.

[0278] Step 3:

[0279] The device converts the user's input information and emotion recognition results into JSON format and sends this data to the server.

[0280] Step 4:

[0281] The server receives the data sent from the device and temporarily stores it in a database or memory. The data includes product information, target demographic information, desired message, NG items, and emotion recognition results.

[0282] Step 5:

[0283] The server passes the stored data to a generative AI module, which uses natural language processing and machine learning models to automatically generate catchphrases, POP displays, and promotional materials based on product information and user sentiment.

[0284] Step 6:

[0285] The server adjusts the emotional compatibility of the generated slogan and POP to the user based on the emotion recognition results. For example, if the user is expressing positive emotions, it uses stronger expressions, and if the user is expressing negative emotions, it uses calmer expressions.

[0286] Step 7:

[0287] The server then runs the generated slogans and POPs through a virtual user simulation to verify their effectiveness. The virtual user simulation simulates reactions to different slogans and POPs based on past behavioral data and market data.

[0288] Step 8:

[0289] The server selects the slogan and appeal that received the highest score based on the results of the effectiveness verification, and also makes final adjustments based on user emotions.

[0290] Step 9:

[0291] The device receives the optimal slogan and appeal selected from the server and displays it to the user. During display, it monitors the user's emotions and provides an adjusted version in real time as needed.

[0292] Step 10:

[0293] Marketing activities are carried out based on the catchphrases and appeals provided by users. For example, they can be used in point-of-purchase displays in physical stores, printed on book jackets, or used in web advertisements.

[0294] Specific examples

[0295] The user enters the following information:

[0296] Product Name: "Innovative Thermo Mug"

[0297] Target age group: 25-35

[0298] Target Gender: "Female"

[0299] Product Features: "Stylish and highly effective at retaining heat"

[0300] Message we want to convey: "Make every day more comfortable"

[0301] No-no: "Heavy"

[0302] At the same time, the device camera detects the user's smile and the microphone analyzes the upbeat tone of the voice, and the emotion engine recognizes that the user is expressing positive emotions.

[0303] The device sends the input information and emotion recognition results to the server in JSON format.

[0304] The server receives the information and passes it to the generative AI module. The AI ​​generates POPs such as catchphrases like "Innovative Thermo Mug - Enjoy a stylish and warm everyday life!" and "A must-see for women in their 20s and 30s! Introducing the innovative Thermo Mug!". The emphasis is on positive emotions.

[0305] The server runs a virtual user simulation and scores the slogan 85 points and the POP 78 points.

[0306] The device displays the most suitable catchphrase to the user, who can then use it for point-of-purchase ads in physical stores or web advertisements.

[0307] In this way, a system is provided that can quickly generate effective catchphrases and appeals that take into account the user's emotions and can be used in marketing activities.

[0308] Example 2

[0309] 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."

[0310] In modern marketing, rapid and effective generation and verification of effectiveness of appeals and catchphrases is required to maximize their impact on target audiences. However, many systems have difficulty generating marketing copy that takes user emotions into account or conducting detailed effectiveness verification using virtual users. For this reason, a system is needed that can automatically generate marketing copy that takes user emotions into account and verify its effectiveness with high accuracy.

[0311] 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.

[0312] In this invention, the server includes means for automatically generating catchphrases, POPs, and appeals using generative artificial intelligence based on information sent from the terminal and emotion recognition results, means for setting virtual users, generating multiple patterns, and verifying effectiveness, and means for selecting optimal catchphrases, POPs, and appeals based on the results of the effectiveness verification. This makes it possible to automatically generate marketing language that takes user emotions into consideration, and to verify its effectiveness with high accuracy.

[0313] "Product Information" means the features, name, specifications, and other details relating to a particular product.

[0314] "Target demographic information" refers to information about the target customer base for a particular product or service, and typically includes demographic data such as age, gender, and preferences.

[0315] "Words to be conveyed" refers to the message or catchphrase that a user wants to convey about a particular product or service.

[0316] "NG items" refer to words and expressions that must not be used in marketing copy.

[0317] "Emotion recognition result" refers to information about the emotional state obtained by the emotion engine by analyzing the user's facial expressions and voice.

[0318] A "terminal" is an electronic device used by a user to input or receive information, and includes smartphones, tablets, personal computers, etc.

[0319] "Server" refers to the central system that manages the receipt, storage, analysis of data, and generated results.

[0320] "Generative artificial intelligence" refers to technology that uses natural language processing and machine learning models to automatically generate catchy slogans, POPs, and appealing materials.

[0321] A "catchphrase" is a short phrase that succinctly conveys the appeal of a product or service.

[0322] "POP" stands for point of purchase, a visual display used to promote a product or service.

[0323] "Appeal" refers to advertising or promotional materials promoting a particular product or service.

[0324] "Virtual user" refers to a virtual user model that simulates the reactions of an actual user based on past behavioral and reaction data.

[0325] "Effectiveness verification" refers to the process of evaluating how effective the generated slogans and appeals are with the target audience.

[0326] The present invention is a system in which the user inputs product information, target demographic information, the message they want to convey, and any items that are not allowed, and the terminal sends this to the server, which then uses generative artificial intelligence to automatically generate catchy slogans, POPs, and appeals, verifies their effectiveness using virtual users, selects the most suitable ones, and provides them to the user again via the terminal.

[0327] Hardware and software used

[0328] Device: Refers to an electronic device such as a smartphone, tablet, or PC. The device receives user input and uses an emotion engine to analyze the user's facial expressions and voice.

[0329] Server: A central system that manages the reception, storage, analysis, and generation of data. The server is equipped with a generative artificial intelligence module that generates text using natural language processing and machine learning models.

[0330] Generative AI: A system that combines natural language processing and machine learning models and is used to automatically generate marketing copy.

[0331] Emotion engine: Software that analyzes the user's facial expressions and voice and provides emotion recognition results.

[0332] Program processing

[0333] User operations

[0334] The user inputs the product name, product features, target demographic information (age group, gender, etc.), the message they want to convey, and any items they don't want to convey via their device. At this time, the emotion engine analyzes the user's facial expressions and voice to obtain emotion recognition results.

[0335] Device operation

[0336] The device receives the user's input and simultaneously obtains the emotion recognition results from the emotion engine, adds them to the input data, and sends them to the server. Specifically, it converts the following prompt text into JSON format and sends it:

[0337] Product Name: "Innovative Thermo Mug"

[0338] Product Features: "Stylish and highly effective at retaining heat"

[0339] Target demographic: "Women aged 25-35"

[0340] Message we want to convey: "Make every day more comfortable"

[0341] No-no: "Heavy"

[0342] Emotion recognition result: "Positive"

[0343] Server Operations

[0344] The server receives the data sent from the device and temporarily stores it in a database or memory. It then passes the data to the generative AI module, which begins processing it, including the emotion recognition results.

[0345] The generative AI module uses natural language processing and machine learning models to automatically generate catchphrases, POP displays, and promotional materials based on product information and user emotions. By incorporating the emotion recognition results, marketing language appropriate to the user's current emotional state is generated. For example, when generating a catchphrase such as "Innovative Thermo Mug - Enjoy a stylish and warm everyday life!" or a POP display such as "Innovative Thermo Mug for women in their 20s and 30s! A must-see!", adjustments are made based on the analysis results of the emotion engine.

[0346] Effectiveness verification

[0347] The server runs a virtual user simulation to verify the effectiveness of multiple generated catchphrases and appeals. The virtual users' reactions are simulated based on past behavioral data and similar market data. For example, the catchphrase "Innovative Thermo Mug - Enjoy a stylish and warm everyday life!" is rated at 85 points, while the POP "A must-see for women in their 20s and 30s! Introducing the innovative Thermo Mug!" is rated at 78 points.

[0348] Optimization and Selection

[0349] The server selects the most highly rated catchphrases and appeals based on the results of the effectiveness verification. It also has the function of dynamically regenerating catchphrases and appeals according to the user's emotional state.

[0350] Providing results

[0351] The terminal displays the optimal catchphrase and appeal received from the server to the user, who can then carry out marketing activities based on the provided information.

[0352] The above is a specific embodiment for implementing the present invention in combination with an emotion engine, which enables users to quickly obtain appeals that are expected to be highly effective, effective, and efficient.

[0353] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0354] Step 1:

[0355] The user inputs product information, product features, target demographic information (age group, gender, etc.), desired message, and prohibited items into the terminal. For example, the product name is "Innovative Thermo Mug," the product features are "Stylish and highly effective at retaining heat," the target demographic is "Women aged 25-35," the desired message is "Makes everyday life more comfortable," and the prohibited items are "Heavy." The emotion engine then analyzes the user's facial expressions and voice to obtain emotion recognition results. The input data consists of information from the user and the emotion recognition results (positive).

[0356] Step 2:

[0357] The device converts the user's input information and emotion recognition results into JSON format and sends it to the server. The input data is the user information and emotion recognition results obtained in step 1, and the following JSON data is generated as output:

[0358] json

[0359] {

[0360] "Product name": "Innovative Thermo Mug",

[0361] "Product Features": "Stylish and highly effective at keeping you warm",

[0362] "Target demographic": "Women aged 25-35",

[0363] "Message": "Make every day more comfortable",

[0364] "NG item": "heavy",

[0365] "Emotion Recognition Result": "Positive"

[0366] }

[0367] This is sent to the server.

[0368] Step 3:

[0369] The server receives the JSON data sent from the terminal and temporarily stores it in a database or memory. The input data is the JSON data sent in step 2, and is temporarily stored inside the server. Specifically, it is stored in a database using, for example, an SQL command:

[0370] sql

[0371] INSERT INTO product information (product name, product features, target demographic, desired message, NG items, emotion recognition results)

[0372] VALUES ("Innovative Thermo Mug", "Stylish and keeps you warm", "Women 25-35", "Makes everyday life more comfortable", "Heavy", "Positive");

[0373] Step 4:

[0374] The server passes the stored data to a generative AI module and begins analysis. The input data is product information stored in the database and emotion recognition results, and the generative AI module generates a catchphrase, POP, and appealing material. For example, the following text is output using a natural language processing algorithm:

[0375] Tagline: "Innovative Thermo Mug - Stylish and warm for everyday use!"

[0376] POP: "A must-see for women in their 20s and 30s! Introducing the revolutionary Thermo Mug!"

[0377] Step 5:

[0378] The server then runs a virtual user simulation of the generated slogans and POPs to verify their effectiveness. The input data is the marketing statements generated in step 4, and the simulation algorithm calculates an evaluation score based on past behavioral data and similar market data. For example, the following results can be obtained:

[0379] Catchphrase: 85 points

[0380] POP: 78 points

[0381] Step 6:

[0382] The server selects the most highly rated catchphrase and appeal based on the results of the effectiveness verification. It also regenerates them as needed based on the user's emotional state. The input data are the evaluation results obtained in step 5, and the optimal catchphrase and appeal are selected as the output.

[0383] Step 7:

[0384] The terminal displays the optimal catchphrase and appeal received from the server to the user. The input data is the optimal catchphrase and appeal selected in step 6, and is visually displayed to the user. The user can then carry out marketing activities based on this.

[0385] The above are the specific processing steps of the program in this system, which enables users to quickly obtain effective and efficient marketing copy.

[0386] (Application example 2)

[0387] 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."

[0388] In conventional marketing activities, creating effective slogans and appeals requires specialized knowledge and experience, and requires a great deal of time and effort. Furthermore, since there was no means of generating effective advertisements that incorporated users' emotions and reactions in real time, it was difficult to quickly provide advertisements optimized for individual users. The present invention aims to solve these problems by providing a system that automatically generates effective slogans and appeals based on user input information and emotional data, and provides the optimal ones after verifying their effectiveness with virtual users.

[0389] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0390] In this invention, the server includes means for a user to input product information, target demographic information, desired message, and NG items, means for a terminal to transmit the input information and emotion recognition results by an emotion engine to the server, means for the server to automatically generate a catchy slogan, POP, and appeal using generative artificial intelligence based on the transmitted information and emotion recognition results, means for the server to set up a virtual user, generate multiple patterns, and verify effectiveness, means for the server to select optimal catchy slogans, POP, and appeals based on the results of the effectiveness verification, and means for the terminal to display the selected optimal catchy slogans, POP, and appeals to the user. This makes it possible to quickly and effectively provide optimal catchy slogans and appeals that correspond to the user's emotions.

[0391] "User" refers to the person who enters product information, target demographic information, the message they want to convey, and any prohibited items.

[0392] "Terminal" refers to a device that acquires information entered by a user and emotion recognition results and transmits them to a server.

[0393] An "emotion engine" refers to a system that analyzes emotions from a user's facial expressions and voice.

[0394] "Server" refers to a central computing device that receives information sent from terminals, automatically generates slogans and appeals using generative artificial intelligence, and verifies the effectiveness using virtual users.

[0395] "Generative AI" refers to technology that uses natural language processing and machine learning models to generate catchy slogans and appealing statements based on input information.

[0396] A "catchphrase" is a phrase that succinctly and attractively expresses the features and appeal of a product.

[0397] "POP" refers to advertising panels and posters used to effectively promote products in stores.

[0398] "Appeals" refers to all advertising materials aimed at promoting the sale of a product.

[0399] A "virtual user" refers to a fictitious consumer set up in a simulation, and is an entity that verifies effectiveness based on past behavioral and reaction data.

[0400] "Effectiveness verification" refers to the process of testing how effective the generated slogans and appeals actually are.

[0401] "Optimization" refers to the process of selecting the most effective slogan or appeal from multiple options.

[0402] "Display" refers to the act of showing the selected optimal catchphrase or appeal to the user.

[0403] This invention is a system in which users input product information, target demographic information, the words they want to convey, and items they don't want to convey, and by combining an emotion engine and generative artificial intelligence, it automatically generates optimal catchphrases and appeals, and provides them after verifying their effectiveness with virtual users.

[0404] System configuration

[0405] User operations

[0406] The user inputs the product name, product features, target demographic information (e.g., age group, gender), the message they want to convey, and any items they don't want to convey via their device. At the same time, the emotion engine simultaneously analyzes the user's facial expressions and voice. The emotion engine analyzes the user's emotional state in real time and generates emotion recognition results along with the input data.

[0407] Device operation

[0408] The device receives user input and emotion recognition results and sends them to the server, including data from the emotion engine, such as analyzing the user's emotions from facial expressions and voice using the EmotionEngine library.

[0409] Server Operations

[0410] The server receives the data sent from the device and temporarily stores it. It then passes the data to a generative AI module, which processes it, including the emotion recognition results. The generative AI module uses natural language processing and machine learning models to automatically generate slogans and appeals based on product information and the user's emotions. This generates marketing language that is appropriate for the user's current emotional state.

[0411] The server also performs virtual user simulations to verify the effectiveness of the generated multiple catchphrases and appeals. The virtual users simulate reactions based on past behavioral data and reaction data, and evaluate the effectiveness.

[0412] Effect verification and optimization

[0413] The server selects the most highly rated catchphrases and appeals based on the results of effectiveness testing, and also dynamically adjusts them according to the user's emotional state to generate optimal marketing language.

[0414] Providing results

[0415] The terminal displays the optimal catchphrases and appeals received from the server to the user, who can then use them to carry out effective marketing activities.

[0416] Specific examples

[0417] For example, if a user enters the following information:

[0418] Product Name: Innovative Thermo Mug

[0419] Target age group: 25-35

[0420] Target Gender: Female

[0421] Product Features: Stylish and highly effective insulated

[0422] Message to convey: Make every day more comfortable

[0423] No-no: Heavy

[0424] Along with this information, the emotion engine's emotion recognition results are also sent from the device to the server. The generative AI then generates a catchphrase such as "Innovative Thermo Mug - Enjoy a stylish and warm everyday life!" or a pop-up display such as "For women in their 20s and 30s, a must-see! Introducing the innovative Thermo Mug!". Because the marketing copy adapts based on the user's emotions, more personalized marketing text is generated.

[0425] The server uses a virtual user simulation to evaluate the above-mentioned catchphrase, giving it a score of 85 and the POP a score of 78. Based on these results, the optimal catchphrase and appeal are selected, and the dynamically adjusted content is sent to the terminal and displayed to the user.

[0426] Example prompt sentence:

[0427] "Product information:

[0428] Name: Innovative Thermo Mug

[0429] Features: Stylish and warm

[0430] Target audience:

[0431] Age range: 25-35

[0432] Gender: Female

[0433] What I want to convey:

[0434] Make every day more comfortable

[0435] Emotional state:

[0436] Users are relaxed

[0437] Product:

[0438] Catchphrase

[0439] POP"

[0440] These processes allow users to quickly and efficiently generate highly effective marketing copy.

[0441] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0442] Step 1:

[0443] The user inputs product information, target demographic information, the message they want to convey, and items that should not be displayed. The information entered by the user is entered into an input form on the device. Specifically, the product name, target age group, target gender, product features, the message they want to convey, and items that should not be displayed are entered. The input data is converted into a data format such as JSON.

[0444] Step 2:

[0445] The device captures the user's facial expressions and voice through the camera and microphone, and performs emotion recognition using an emotion engine. For example, the EmotionEngine library is used to analyze the user's emotional state (relaxed, stressed, etc.) in real time. This analyzed emotion data is also generated in JSON format.

[0446] Step 3:

[0447] The device sends the user's input data and the emotion recognition results from the emotion engine to the server. This data is sent via an HTTP request. The server temporarily stores the received data in a database or memory.

[0448] Step 4:

[0449] The server passes the received data to a generative AI module. The generative AI module uses natural language processing and machine learning models to generate slogans and appeals that take into account product information and the user's emotional state. For example, a generative AI model might generate the slogan "Innovative Thermo Mug - Enjoy a stylish and warm everyday life!"

[0450] Step 5:

[0451] The server runs a virtual user simulation. Based on past behavioral and reaction data, it virtually evaluates the effectiveness of the generated catchphrases and appeals. Multiple catchphrases and appeals generated during this process are stored along with their evaluation scores. For example, the catchphrase "Innovative Thermo Mug - Enjoy a stylish and warm everyday life!" is evaluated with 85 points.

[0452] Step 6:

[0453] The server analyzes the results of the effectiveness tests conducted by the virtual users and selects the slogan and appeal that received the highest evaluation. Specifically, the slogan and POP with the highest evaluation score are selected.

[0454] Step 7:

[0455] The server then sends the selected optimal slogan and appeal to the device, with dynamic adjustments being made to fine-tune the slogan and appeal to the user's emotional state.

[0456] Step 8:

[0457] The device receives the optimal slogan and appeal from the server and displays it to the user. The user can then use this information to carry out marketing activities. For example, the device might display the slogan "Innovative Thermo Mug - Enjoy a stylish and warm everyday life!" on the screen.

[0458] The above are the specific processing steps of the system that realizes the application example.

[0459] 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.

[0460] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0461] 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.

[0462] [Second embodiment]

[0463] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0464] 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.

[0465] 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).

[0466] 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.

[0467] 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.

[0468] 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).

[0469] 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.

[0470] 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.

[0471] 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.

[0472] 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.

[0473] 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.

[0474] 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."

[0475] The present invention is a system in which the user inputs product information, target demographic information, the message they want to convey, and any items that are not allowed, and the terminal sends this to the server, which then uses generative artificial intelligence to automatically generate catchy slogans, POPs, and appeals, verifies their effectiveness using virtual users, selects the most suitable ones, and provides them to the user again via the terminal.

[0476] Natural language explanation of program processing

[0477] User operations

[0478] The user inputs the product name, product features, target demographic information (age group, gender, etc.), the message they want to convey, and items that should not be displayed via the terminal.

[0479] Device operation

[0480] The terminal receives the input information, checks the data format, and if there are no errors, converts it into an appropriate format such as JSON and sends it to the server.

[0481] Server Operations

[0482] The server receives the data sent from the device, stores it in a database, and then passes the data to the generative artificial intelligence module.

[0483] Generative AI automatically generates catchy slogans, POP displays, and advertising materials based on input information. The generation process uses natural language processing and machine learning algorithms.

[0484] For example, a catchy slogan such as "Innovative Thermo Mug - Stylish and highly insulating for everyday life!" or a POP such as "A must-see for women in their 20s and 30s! Introducing the innovative Thermo Mug!" can be generated.

[0485] Effectiveness verification

[0486] The server runs a virtual user simulation to verify the effectiveness of multiple variations of generated catchphrases and appeals. The virtual users are constructed based on past behavioral data and similar market data, and simulate the reactions of the target demographic.

[0487] For example, the catchphrase "Innovative Thermo Mug - Stylish and highly insulating for everyday life!" was rated at 85 points, while the POP "For women in their 20s and 30s, a must-see! Introducing the innovative Thermo Mug!" was rated at 78 points.

[0488] Optimization and Selection

[0489] Based on the results of the effectiveness verification, the server selects the most highly rated catchphrases and appeals, which are then provided to the user as the optimal marketing copy.

[0490] Providing results

[0491] The terminal receives the optimal catchphrase and appeal from the server and displays it to the user, who can then carry out effective marketing activities based on it.

[0492] Specific examples

[0493] 1. The user enters the following information:

[0494] Product Name: "Innovative Thermo Mug"

[0495] Target age group: 25-35

[0496] Target Gender: "Female"

[0497] Product Features: "Stylish and highly effective at retaining heat"

[0498] Message we want to convey: "Make every day more comfortable"

[0499] No-no: "Heavy"

[0500] 2. The device receives this, formats it correctly, and sends it to the server.

[0501] 3. The server receives the data, and the generative AI generates a catchy slogan such as "Innovative Thermo Mug - Enjoy a stylish and warm everyday life!" and a POP that reads "For women in their 20s and 30s, a must-see! Introducing the innovative Thermo Mug!"

[0502] 4. The server conducts effectiveness testing using virtual users, and the catchphrase is rated 85 points and the POP is rated 78 points.

[0503] 5. The server selects the most suitable catchphrase and provides it to the user via the terminal.

[0504] 6. Users can carry out effective marketing activities using the optimal catchphrases provided.

[0505] The above is a specific embodiment for carrying out the present invention, which enables users to quickly carry out effective and efficient marketing activities.

[0506] The processing flow will be explained below.

[0507] Step 1:

[0508] The user enters product information, target demographic information, the message they want to convey, and items that should not be displayed via the terminal.

[0509] Step 2:

[0510] The terminal receives the entered information and checks the data format to see if there are any errors or omissions.

[0511] Step 3:

[0512] The device converts the confirmed information into an appropriate format, such as JSON, and sends it to the server.

[0513] Step 4:

[0514] The server receives the data sent from the terminal and temporarily stores it in a database or memory.

[0515] Step 5:

[0516] The server passes the stored data to a generative AI module, which uses natural language processing and machine learning models to automatically generate slogans, POPs, and promotional materials.

[0517] Step 6:

[0518] The server runs a virtual user simulation to verify the effectiveness of multiple variations of generated copy and appeals. The virtual users' reactions are simulated based on past behavioral data and similar market data.

[0519] Step 7:

[0520] Based on the results of the effectiveness verification, the server selects the slogan and appeal that receive the highest score.

[0521] Step 8:

[0522] The server sends the selected optimal slogan and appeal back to the terminal.

[0523] Step 9:

[0524] The device displays the most suitable catchphrase or appeal to the user.

[0525] Step 10:

[0526] Marketing activities are carried out based on catchphrases and appeals provided by users.

[0527] Example 1

[0528] 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."

[0529] Conventional marketing copy generation systems require a lot of manual work to create catchy slogans and promotional materials, which requires a lot of time and effort. Furthermore, there was a lack of a way to verify the actual effectiveness beforehand, which made the effectiveness of the generated copy unclear. Furthermore, the lack of accurate simulations using past data made it difficult to effectively market to the target demographic.

[0530] 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.

[0531] In this invention, the server includes means for automatically generating catchphrases, promotional materials, and advertising materials using generative artificial intelligence, means for verifying the effectiveness of multiple patterns using virtual users, and means for selecting optimal catchphrases, promotional materials, and advertising materials based on the results of the effectiveness verification, thereby enabling users to quickly and accurately generate effective marketing copy and verify its effectiveness in the actual market in advance.

[0532] "User" refers to an individual or organization that uses the system to enter product information, target demographic information, the message they wish to convey, and any prohibited items.

[0533] "Terminal" refers to an electronic device or equipment used by a user to input and transmit information.

[0534] "Server" refers to a central processing unit that receives and stores information sent from a terminal, and then uses generative artificial intelligence to automatically generate catchy slogans, promotional materials, and advertising materials, verifies their effectiveness, selects the most suitable ones, and provides them to the user.

[0535] "Generative AI" refers to AI technology that uses natural language processing and machine learning algorithms to automatically generate slogans, promotional materials, and advertising materials from input information.

[0536] A "catchphrase" is a short phrase that succinctly expresses the features and appeal of a product or service and appeals to the target audience.

[0537] "Promotional materials" refers to media such as advertising and promotional documents, images, and videos created to promote products and services.

[0538] "Advertising materials" refers to promotional materials such as posters, leaflets, and banner advertisements that are produced to convey information about products and services.

[0539] "Virtual users" refers to fictitious users in software that are constructed based on historical behavioral data and similar market data to simulate the reactions of target demographics.

[0540] "Effectiveness verification" refers to the process of evaluating the impact that the generated catchphrases, promotional materials, and advertising materials have on the target audience.

[0541] "Optimization" refers to the process of selecting the most highly rated slogans, promotional materials, and advertising materials based on the results of effectiveness verification.

[0542] The present invention is a system for improving the efficiency and effectiveness of product marketing activities. Specific embodiments of the system will be described below.

[0543] First, the user uses the device to input the necessary information. This information includes "product information" such as the product name and features, "target demographic information" such as the target age group and gender, the desired message, and any items that should not be displayed.

[0544] Next, the terminal checks the data format of the information entered by the user. After confirming that there are no errors at this stage, it converts the information into an appropriate format (e.g., JSON format) and sends it to the server. This process typically uses an API request.

[0545] The server receives the data sent from the device and stores it in a database. At this time, data integrity and authentication processes are also performed in parallel. The stored data becomes input to the subsequent generative AI module.

[0546] The server then uses generative artificial intelligence to automatically generate slogans, promotional materials, and advertising materials. Generative AI utilizes natural language processing and machine learning algorithms to generate optimal marketing language based on the input information. For example, it generates a slogan such as "Innovative Thermo Mug - Enjoy a stylish and warm everyday life!" or a POP display that reads, "A must-see for women in their 20s and 30s! Introducing the innovative Thermo Mug!"

[0547] After generation, the server performs effectiveness testing using virtual users. Virtual users are simulated based on past behavioral data and similar market data to evaluate the effectiveness of the generated slogans, promotional materials, and advertising materials. The results of this simulation may yield a score of 85 for the slogan and 78 for the POP, for example.

[0548] Based on the evaluation results, the server selects the most suitable catchphrases, promotional materials, and advertising materials. This process is carried out by analyzing the results of effectiveness verification.

[0549] Finally, the server sends the selected optimal marketing phrases to the terminal, which then displays them to the user, allowing the user to quickly carry out effective marketing activities based on the selected phrases displayed.

[0550] Specific examples

[0551] For example, if the user enters the following information:

[0552] Product Name: Innovative Thermo Mug

[0553] Target age group: 25-35

[0554] Target Gender: Female

[0555] Product Features: Stylish and highly effective insulated

[0556] Message to convey: Make every day more comfortable

[0557] No-no: Heavy

[0558] Based on this information, effective catchphrases, promotional materials, and advertising materials are generated through the process described above, enabling users to plan and implement marketing activities quickly and accurately.

[0559] The above is a specific embodiment for carrying out the present invention. It is expected that this system will improve the efficiency and effectiveness of marketing operations.

[0560] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0561] Step 1: User Enters Information

[0562] The user enters the product name and features, target demographic information (e.g., age group, gender), the message they want to convey, and any prohibited items into an input form on their device. This provides the basic data that the system needs to obtain the necessary information. The entered information is temporarily saved as text data on the device.

[0563] Step 2: Check the data on your device

[0564] The terminal checks the format of the data entered by the user. It verifies that there are no errors in the format or content of the input values, and if an error is detected, it prompts the user to correct it. Correctly entered data is converted into a format that can be applied to subsequent processing (e.g., JSON format). An example of input data would be in the following format:

[0565] {

[0566] "product_name": "Innovative Thermo Mug",

[0567] "target_age_group": "25-35",

[0568] "target_gender": "female",

[0569] "product_features": "Stylish and warm",

[0570] "key_message": "Make every day more comfortable",

[0571] "ng_items": ["heavy"]

[0572] }

[0573] Step 3: The device sends the data to the server

[0574] The device sends properly formatted data to the server, which communicates using API requests, and verifies that the input data was sent correctly.

[0575] Step 4: The server receives and stores the data

[0576] The server receives the data sent from the device and stores it in a database, during which data integrity and authentication processes are carried out in parallel, and the stored data is used for subsequent processing.

[0577] Step 5: The server provides the data to the generative AI

[0578] The server provides the data stored in the database to the generative AI. Based on this data, the generative AI generates catchphrases, promotional materials, and advertising materials. Data reception and provision is performed within the server via an API.

[0579] Step 6: Generative AI generates taglines, promotional materials, and advertising materials

[0580] Generative AI uses natural language processing and machine learning algorithms to automatically generate catchphrases, promotional materials, and advertising materials based on input information. For example, a catchphrase might be generated: "Innovative Thermo Mug - Stylish and highly effective insulation for everyday life!" The generated data is then sent back to the server.

[0581] Step 7: Test the server with virtual users

[0582] The server then tests the effectiveness of the generated multiple catchphrases and promotional materials on virtual users. The virtual users are simulated based on past behavioral data and similar market data, and the effectiveness of the generated phrases is predicted. This process calculates a score for each phrase.

[0583] Step 8: The server selects the best wording

[0584] The server selects the optimal catchphrase and promotional materials based on the results of the effectiveness verification. The most highly rated phrase is selected based on the evaluation scores of the virtual users. This selection data is then sent to the terminal.

[0585] Step 9: The device displays the most appropriate text to the user.

[0586] The terminal receives the optimal catchphrases and promotional materials sent from the server and displays them to the user, who can then check the displayed text and carry out effective marketing activities based on it.

[0587] These are the specific processing steps of the program for this system. Through this process, users can automatically generate effective marketing copy and use it quickly and accurately.

[0588] (Application example 1)

[0589] 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."

[0590] In advertising campaigns, it is extremely important to generate effective slogans and appeals in a short amount of time and to confirm their effectiveness on the target audience in advance. However, conventional methods rely heavily on human creativity, which is time-consuming and costly, and it is difficult to guarantee effectiveness. In particular, the effectiveness of generated advertising copy cannot be fully verified because the vast amount of past behavioral data and similar market data is not fully utilized. The purpose of this invention is to solve these problems and realize effective and efficient generation and verification of advertising copy.

[0591] 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.

[0592] In this invention, the server includes a means for inputting data into the generative artificial intelligence using prompt sentences, a means for utilizing past behavioral data and similar market data through virtual user simulation, and a means for calculating the effectiveness score of the generated catchphrases and POPs. This makes it possible to automatically generate multiple catchphrases and appeals based on product information and target demographic information entered by the user, and verify their effectiveness through virtual user simulation, thereby easily and quickly selecting the optimal advertising wording.

[0593] "User" refers to the person who inputs product information, target demographic information, desired message, and prohibited items into the system.

[0594] "Product information" refers to information regarding the product name, features, use, etc. that is entered into the system.

[0595] "Target demographic information" refers to information such as age group, gender, interests, etc. that is set as the target of advertising.

[0596] "The message you want to convey" refers to the main message used to communicate the value of a product or service through advertising or catchphrases.

[0597] "NG items" refer to words and expressions that should be avoided when creating advertising copy or catchy slogans.

[0598] "Terminal" refers to a device that transmits information entered by a user to a server. Examples include smartphones, tablets, and personal computers.

[0599] "Server" refers to a computer system that receives data entered by users and uses generative artificial intelligence to generate slogans and appeals and verify their effectiveness.

[0600] "Generative artificial intelligence" refers to technology that automatically generates catchy slogans, POPs, and appealing materials using natural language processing and machine learning models.

[0601] A "catchphrase" is a short, catchy sentence generated by generative artificial intelligence and used in advertisements and appeals.

[0602] "POP" refers to promotional materials used in advertising, product displays, etc. For example, it includes posters and signs used in stores.

[0603] "Appeals" refers to advertising media and texts used to communicate the characteristics and appeal of a product to consumers.

[0604] "Virtual User" refers to a fictitious user constructed based on historical behavioral data and similar market data and used for the purpose of simulating the effectiveness of generated advertising copy.

[0605] "Effectiveness verification" refers to the process of evaluating the effectiveness of generated catchphrases and appeals using virtual users.

[0606] A "prompt sentence" refers to an introductory or instruction sentence used when inputting data into a generative artificial intelligence.

[0607] The "effectiveness score" refers to an evaluation value that indicates how effective the generated catchphrase or POP is for the virtual user.

[0608] This invention is a system in which the user inputs product information, target demographic information, the message they want to convey, and any items they don't want, and the terminal sends this to a server, which then uses generative artificial intelligence to automatically generate catch phrases, POPs, and appeals, and selects the most suitable advertising message.

[0609] System Configuration

[0610] This system includes a terminal used by the user, a server that processes data, and generative artificial intelligence. The terminals are common devices such as smartphones, tablets, and PCs, and the server is a cloud server or a server in a data center.

[0611] Processing flow

[0612] The server receives product information, target demographic information, desired message, and prohibited items entered by the user through their device and stores them in a database. It then uses generative AI to generate slogans and POPs, and tests their effectiveness using virtual users. Based on the results of the effectiveness test, it selects the optimal slogan and POP and returns them to the user.

[0613] Technology used

[0614] Generative AI uses natural language processing and machine learning models to generate catchy slogans, POPs, and promotional materials. Specific AI modules include language models such as GPT-3. These language models perform the generation process by inputting prompt sentences.

[0615] Specific examples

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

[0617] Product Name: "Innovative Thermo Mug"

[0618] Target age group: 25-35

[0619] Target Gender: "Female"

[0620] Product Features: "Stylish and highly effective at retaining heat"

[0621] Message we want to convey: "Make every day more comfortable"

[0622] No-no: "Heavy"

[0623] The server receives this information and inputs the following prompt into the generative artificial intelligence:

[0624] Product Name: Innovative Thermo Mug

[0625] Target: Women aged 25-35

[0626] Product Features: Stylish and highly effective insulated

[0627] Message to convey: Make every day more comfortable

[0628] No-no: Heavy

[0629] Generation: Catchphrases and POP

[0630] Based on the above prompt, the generative artificial intelligence generates a catchphrase such as "Innovative Thermo Mug - Enjoy a stylish and warm everyday life!" and a POP that reads, "For women aged 25-35, a must-see! Introducing the innovative Thermo Mug!"

[0631] The server then verifies the effectiveness of the generated advertising copy through virtual user simulation, and for example, the tagline is rated at 85 points and the POP at 78 points. The optimal tagline and POP are then selected and provided to the user.

[0632] This invention enables users to effectively and efficiently generate and verify advertising copy, enabling them to quickly carry out optimal marketing activities.

[0633] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0634] Step 1:

[0635] The user enters product information, target demographic information, the message they want to convey, and any items that should not be included into the terminal.

[0636] Input: Product name, target demographic information (age group, gender, etc.), product features, desired message, prohibited items

[0637] Output: Receiving user input data at the terminal

[0638] Specific operation: The user enters the necessary information into the device's input form, which the device saves as internal data.

[0639] Step 2:

[0640] The terminal converts the input information into JSON format and sends it to the server.

[0641] Input: Information entered by the user (product name, target demographic information, product features, desired message, prohibited items)

[0642] Output: JSON format data, sent to server

[0643] Specific operation: The terminal checks the data entered by the user, converts it into JSON format, and then sends the data to the server via internet communication.

[0644] Step 3:

[0645] The server receives the transmitted information and stores it in a database.

[0646] Input: JSON format data

[0647] Output: User-entered data stored in a database

[0648] Specific operation: The server parses the received JSON data and stores it in the database.

[0649] Step 4:

[0650] The server generates a prompt sentence in the generative artificial intelligence module, passes the data, and generates a catchphrase, POP, and appealing materials.

[0651] Input: User-entered data stored in a database

[0652] Output: Generated taglines, POPs, and appeals

[0653] What happens: The server retrieves the necessary information from the database and generates the following prompt:

[0654] Product Name: Innovative Thermo Mug

[0655] Target: Women aged 25-35

[0656] Product Features: Stylish and highly effective insulated

[0657] Message to convey: Make every day more comfortable

[0658] No-no: Heavy

[0659] Generation: Catchphrases and POP

[0660] This prompt text is input into a generative artificial intelligence (such as GPT-3) to generate a catchy slogan or POP.

[0661] Step 5:

[0662] The server uses virtual users to verify the effectiveness of the generated catchphrases and POPs.

[0663] Input: Generated tagline, POP, historical behavior data, similar market data

[0664] Output: Calculated effectiveness score

[0665] Specific operation: The virtual user simulation module simulates the effectiveness of the generated catchphrases and POPs based on past behavioral data and similar market data. It calculates an effectiveness score and saves the results on the server.

[0666] Step 6:

[0667] The server selects the most suitable catchphrase, POP, and appeal based on the results of the effectiveness verification.

[0668] Input: Calculated effectiveness score

[0669] Output: Optimal copy, POP, and appeal materials

[0670] Specific operation: The server compares the effectiveness scores of multiple catchphrases and POPs and selects the one with the highest score.

[0671] Step 7:

[0672] The terminal displays the selected optimum catchphrase, POP, and appeal to the user.

[0673] Input: Optimal tagline, POP, and appeal

[0674] Output: Copy, POP, and promotional materials displayed on the terminal

[0675] Specific operation: The server sends the selected optimal slogan and POP to the terminal, which displays them to the user. The user can then review them and use them in their marketing activities.

[0676] 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.

[0677] The present invention combines an emotion engine with a system in which the user inputs product information, target demographic information, the message they want to convey, and any items that are not allowed, and the terminal sends this to a server, which then uses generative artificial intelligence to automatically generate catchy slogans, POPs, and appeals, and after verifying their effectiveness with virtual users, selects the most suitable ones and provides them to the user again via the terminal.

[0678] Natural language explanation of program processing

[0679] User operations

[0680] The user inputs the product name, product features, target demographic information (age group, gender, etc.), the words they want to convey, and any items they do not want to convey via the terminal. At this time, the user's facial expressions and voice are analyzed by the emotion engine.

[0681] Device operation

[0682] The device receives user input and simultaneously receives emotion recognition results from the emotion engine. Once the emotion recognition results are obtained, they are added to the input data and sent to the server.

[0683] Server Operations

[0684] The server receives the data sent from the device and temporarily stores it in a database or memory. It then passes the data to a generative AI module for processing, including the emotion recognition results.

[0685] The generative AI module uses natural language processing and machine learning models to automatically generate catchphrases, POP displays, and promotional materials based on product information and user emotions. By incorporating the results of emotion recognition, marketing language appropriate to the user's current emotional state is generated.

[0686] For example, when a user generates a catchphrase such as "Innovative Thermo Mug - Enjoy a stylish and warm everyday life!" or a POP such as "A must-see for women in their 20s and 30s! Introducing the innovative Thermo Mug!", the system makes adjustments based on the analysis results of the emotion engine.

[0687] Emotion-Based Adjustments

[0688] Based on the emotion recognition results, the server generates a message that encourages the user to adjust their emotional state. For example, if the user is feeling stressed, the server may suggest inputting in a relaxed state.

[0689] Effectiveness verification

[0690] The server runs a virtual user simulation to verify the effectiveness of multiple variations of generated catchphrases and appeals. The virtual users' reactions are simulated based on past behavioral data and similar market data.

[0691] For example, the catchphrase "Innovative Thermo Mug - Stylish and highly insulating for everyday life!" was rated at 85 points, while the POP "For women in their 20s and 30s, a must-see! Introducing the innovative Thermo Mug!" was rated at 78 points.

[0692] Optimization and Selection

[0693] The server selects the most highly rated catchphrases and appeals based on the results of the effectiveness verification, and dynamically regenerates them to respond to changes in user emotions.

[0694] Providing results

[0695] The terminal receives the optimal catchphrase and appeal from the server and displays it to the user, who can then carry out effective marketing activities based on it.

[0696] Specific examples

[0697] 1. The user enters the following information:

[0698] Product Name: "Innovative Thermo Mug"

[0699] Target age group: 25-35

[0700] Target Gender: "Female"

[0701] Product Features: "Stylish and highly effective at retaining heat"

[0702] Message we want to convey: "Make every day more comfortable"

[0703] No-no: "Heavy"

[0704] 2. The device uses an emotion engine to analyze the user's facial expressions and voice, and obtains emotion recognition results. At the same time, the input information is converted to JSON format and sent to the server along with the emotion recognition results.

[0705] 3. The server receives the data, and the generative AI generates a POP display such as a catchphrase "Innovative Thermo Mug - Stylish and highly effective for everyday use!" or "A must-see for women in their 20s and 30s! Introducing the innovative Thermo Mug!" The display adapts based on the user's emotions.

[0706] 4. The server conducts effectiveness testing using virtual users, and the catchphrase is rated 85 points and the POP is rated 78 points.

[0707] 5. The server selects the most appropriate catchphrase and provides dynamically adjusted appeals according to the user's emotional state.

[0708] 6. The device displays the most suitable slogan and appeal to the user, who then uses this information to carry out marketing activities.

[0709] The above is a specific embodiment for implementing the present invention in combination with an emotion engine, which enables users to quickly obtain appeals that are expected to be highly effective, effective, and efficient.

[0710] The processing flow will be explained below.

[0711] MODE FOR CARRYING OUT THE INVENTION (PROCESS FLOW)

[0712] Step 1:

[0713] Users input product information, target demographic information, the message they want to convey, and any items they don't want to include via a terminal. As they input information, the terminal uses a camera and microphone to capture the user's facial expressions and voice in real time.

[0714] Step 2:

[0715] The device sends the facial expression and voice data it acquires along with the input information to the emotion engine, which then uses facial expression recognition and voice analysis technologies to analyze the user's emotions and generate emotion recognition results.

[0716] Step 3:

[0717] The device converts the user's input information and emotion recognition results into JSON format and sends this data to the server.

[0718] Step 4:

[0719] The server receives the data sent from the device and temporarily stores it in a database or memory. The data includes product information, target demographic information, desired message, NG items, and emotion recognition results.

[0720] Step 5:

[0721] The server passes the stored data to a generative AI module, which uses natural language processing and machine learning models to automatically generate catchphrases, POP displays, and promotional materials based on product information and user sentiment.

[0722] Step 6:

[0723] The server adjusts the emotional compatibility of the generated slogan and POP to the user based on the emotion recognition results. For example, if the user is expressing positive emotions, it uses stronger expressions, and if the user is expressing negative emotions, it uses calmer expressions.

[0724] Step 7:

[0725] The server then runs the generated slogans and POPs through a virtual user simulation to verify their effectiveness. The virtual user simulation simulates reactions to different slogans and POPs based on past behavioral data and market data.

[0726] Step 8:

[0727] The server selects the slogan and appeal that received the highest score based on the results of the effectiveness verification, and also makes final adjustments based on user emotions.

[0728] Step 9:

[0729] The device receives the optimal slogan and appeal selected from the server and displays it to the user. During display, it monitors the user's emotions and provides an adjusted version in real time as needed.

[0730] Step 10:

[0731] Marketing activities are carried out based on the catchphrases and appeals provided by users. For example, they can be used in point-of-purchase displays in physical stores, printed on book jackets, or used in web advertisements.

[0732] Specific examples

[0733] The user enters the following information:

[0734] Product Name: "Innovative Thermo Mug"

[0735] Target age group: 25-35

[0736] Target Gender: "Female"

[0737] Product Features: "Stylish and highly effective at retaining heat"

[0738] Message we want to convey: "Make every day more comfortable"

[0739] No-no: "Heavy"

[0740] At the same time, the device camera detects the user's smile and the microphone analyzes the upbeat tone of the voice, and the emotion engine recognizes that the user is expressing positive emotions.

[0741] The device sends the input information and emotion recognition results to the server in JSON format.

[0742] The server receives the information and passes it to the generative AI module. The AI ​​generates POPs such as catchphrases like "Innovative Thermo Mug - Enjoy a stylish and warm everyday life!" and "A must-see for women in their 20s and 30s! Introducing the innovative Thermo Mug!". The emphasis is on positive emotions.

[0743] The server runs a virtual user simulation and scores the slogan 85 points and the POP 78 points.

[0744] The device displays the most suitable catchphrase to the user, who can then use it for point-of-purchase ads in physical stores or web advertisements.

[0745] In this way, a system is provided that can quickly generate effective catchphrases and appeals that take into account the user's emotions and can be used in marketing activities.

[0746] Example 2

[0747] 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."

[0748] In modern marketing, rapid and effective generation and verification of effectiveness of appeals and catchphrases is required to maximize their impact on target audiences. However, many systems have difficulty generating marketing copy that takes user emotions into account or conducting detailed effectiveness verification using virtual users. For this reason, a system is needed that can automatically generate marketing copy that takes user emotions into account and verify its effectiveness with high accuracy.

[0749] 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.

[0750] In this invention, the server includes means for automatically generating catchphrases, POPs, and appeals using generative artificial intelligence based on information sent from the terminal and emotion recognition results, means for setting virtual users, generating multiple patterns, and verifying effectiveness, and means for selecting optimal catchphrases, POPs, and appeals based on the results of the effectiveness verification. This makes it possible to automatically generate marketing language that takes user emotions into consideration, and to verify its effectiveness with high accuracy.

[0751] "Product Information" means the features, name, specifications, and other details relating to a particular product.

[0752] "Target demographic information" refers to information about the target customer base for a particular product or service, and typically includes demographic data such as age, gender, and preferences.

[0753] "Words to be conveyed" refers to the message or catchphrase that a user wants to convey about a particular product or service.

[0754] "NG items" refer to words and expressions that must not be used in marketing copy.

[0755] "Emotion recognition result" refers to information about the emotional state obtained by the emotion engine by analyzing the user's facial expressions and voice.

[0756] A "terminal" is an electronic device used by a user to input or receive information, and includes smartphones, tablets, personal computers, etc.

[0757] "Server" refers to the central system that manages the receipt, storage, analysis of data, and generated results.

[0758] "Generative artificial intelligence" refers to technology that uses natural language processing and machine learning models to automatically generate catchy slogans, POPs, and appealing materials.

[0759] A "catchphrase" is a short phrase that succinctly conveys the appeal of a product or service.

[0760] "POP" stands for point of purchase, a visual display used to promote a product or service.

[0761] "Appeal" refers to advertising or promotional materials promoting a particular product or service.

[0762] "Virtual user" refers to a virtual user model that simulates the reactions of an actual user based on past behavioral and reaction data.

[0763] "Effectiveness verification" refers to the process of evaluating how effective the generated slogans and appeals are with the target audience.

[0764] The present invention is a system in which the user inputs product information, target demographic information, the message they want to convey, and any items that are not allowed, and the terminal sends this to the server, which then uses generative artificial intelligence to automatically generate catchy slogans, POPs, and appeals, verifies their effectiveness using virtual users, selects the most suitable ones, and provides them to the user again via the terminal.

[0765] Hardware and software used

[0766] Device: Refers to an electronic device such as a smartphone, tablet, or PC. The device receives user input and uses an emotion engine to analyze the user's facial expressions and voice.

[0767] Server: A central system that manages the reception, storage, analysis, and generation of data. The server is equipped with a generative artificial intelligence module that generates text using natural language processing and machine learning models.

[0768] Generative AI: A system that combines natural language processing and machine learning models and is used to automatically generate marketing copy.

[0769] Emotion engine: Software that analyzes the user's facial expressions and voice and provides emotion recognition results.

[0770] Program processing

[0771] User operations

[0772] The user inputs the product name, product features, target demographic information (age group, gender, etc.), the message they want to convey, and any items they don't want to convey via their device. At this time, the emotion engine analyzes the user's facial expressions and voice to obtain emotion recognition results.

[0773] Device operation

[0774] The device receives the user's input and simultaneously obtains the emotion recognition results from the emotion engine, adds them to the input data, and sends them to the server. Specifically, it converts the following prompt text into JSON format and sends it:

[0775] Product Name: "Innovative Thermo Mug"

[0776] Product Features: "Stylish and highly effective at retaining heat"

[0777] Target demographic: "Women aged 25-35"

[0778] Message we want to convey: "Make every day more comfortable"

[0779] No-no: "Heavy"

[0780] Emotion recognition result: "Positive"

[0781] Server Operations

[0782] The server receives the data sent from the device and temporarily stores it in a database or memory. It then passes the data to the generative AI module, which begins processing it, including the emotion recognition results.

[0783] The generative AI module uses natural language processing and machine learning models to automatically generate catchphrases, POP displays, and promotional materials based on product information and user emotions. By incorporating the emotion recognition results, marketing language appropriate to the user's current emotional state is generated. For example, when generating a catchphrase such as "Innovative Thermo Mug - Enjoy a stylish and warm everyday life!" or a POP display such as "Innovative Thermo Mug for women in their 20s and 30s! A must-see!", adjustments are made based on the analysis results of the emotion engine.

[0784] Effectiveness verification

[0785] The server runs a virtual user simulation to verify the effectiveness of multiple generated catchphrases and appeals. The virtual users' reactions are simulated based on past behavioral data and similar market data. For example, the catchphrase "Innovative Thermo Mug - Enjoy a stylish and warm everyday life!" is rated at 85 points, while the POP "A must-see for women in their 20s and 30s! Introducing the innovative Thermo Mug!" is rated at 78 points.

[0786] Optimization and Selection

[0787] The server selects the most highly rated catchphrases and appeals based on the results of the effectiveness verification. It also has the function of dynamically regenerating catchphrases and appeals according to the user's emotional state.

[0788] Providing results

[0789] The terminal displays the optimal catchphrase and appeal received from the server to the user, who can then carry out marketing activities based on the provided information.

[0790] The above is a specific embodiment for implementing the present invention in combination with an emotion engine, which enables users to quickly obtain appeals that are expected to be highly effective, effective, and efficient.

[0791] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0792] Step 1:

[0793] The user inputs product information, product features, target demographic information (age group, gender, etc.), desired message, and prohibited items into the terminal. For example, the product name is "Innovative Thermo Mug," the product features are "Stylish and highly effective at retaining heat," the target demographic is "Women aged 25-35," the desired message is "Makes everyday life more comfortable," and the prohibited items are "Heavy." The emotion engine then analyzes the user's facial expressions and voice to obtain emotion recognition results. The input data consists of information from the user and the emotion recognition results (positive).

[0794] Step 2:

[0795] The device converts the user's input information and emotion recognition results into JSON format and sends it to the server. The input data is the user information and emotion recognition results obtained in step 1, and the following JSON data is generated as output:

[0796] json

[0797] {

[0798] "Product name": "Innovative Thermo Mug",

[0799] "Product Features": "Stylish and highly effective at keeping you warm",

[0800] "Target demographic": "Women aged 25-35",

[0801] "Message": "Make every day more comfortable",

[0802] "NG item": "heavy",

[0803] "Emotion Recognition Result": "Positive"

[0804] }

[0805] This is sent to the server.

[0806] Step 3:

[0807] The server receives the JSON data sent from the terminal and temporarily stores it in a database or memory. The input data is the JSON data sent in step 2, and is temporarily stored inside the server. Specifically, it is stored in a database using, for example, an SQL command:

[0808] sql

[0809] INSERT INTO product information (product name, product features, target demographic, desired message, NG items, emotion recognition results)

[0810] VALUES ("Innovative Thermo Mug", "Stylish and keeps you warm", "Women 25-35", "Makes everyday life more comfortable", "Heavy", "Positive");

[0811] Step 4:

[0812] The server passes the stored data to a generative AI module and begins analysis. The input data is product information stored in the database and emotion recognition results, and the generative AI module generates a catchphrase, POP, and appealing material. For example, the following text is output using a natural language processing algorithm:

[0813] Tagline: "Innovative Thermo Mug - Stylish and warm for everyday use!"

[0814] POP: "A must-see for women in their 20s and 30s! Introducing the revolutionary Thermo Mug!"

[0815] Step 5:

[0816] The server then runs a virtual user simulation of the generated slogans and POPs to verify their effectiveness. The input data is the marketing statements generated in step 4, and the simulation algorithm calculates an evaluation score based on past behavioral data and similar market data. For example, the following results can be obtained:

[0817] Catchphrase: 85 points

[0818] POP: 78 points

[0819] Step 6:

[0820] The server selects the most highly rated catchphrase and appeal based on the results of the effectiveness verification. It also regenerates them as needed based on the user's emotional state. The input data are the evaluation results obtained in step 5, and the optimal catchphrase and appeal are selected as the output.

[0821] Step 7:

[0822] The terminal displays the optimal catchphrase and appeal received from the server to the user. The input data is the optimal catchphrase and appeal selected in step 6, and is visually displayed to the user. The user can then carry out marketing activities based on this.

[0823] The above are the specific processing steps of the program in this system, which enables users to quickly obtain effective and efficient marketing copy.

[0824] (Application example 2)

[0825] 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."

[0826] In conventional marketing activities, creating effective slogans and appeals requires specialized knowledge and experience, and requires a great deal of time and effort. Furthermore, since there was no means of generating effective advertisements that incorporated users' emotions and reactions in real time, it was difficult to quickly provide advertisements optimized for individual users. The present invention aims to solve these problems by providing a system that automatically generates effective slogans and appeals based on user input information and emotional data, and provides the optimal ones after verifying their effectiveness with virtual users.

[0827] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0828] In this invention, the server includes means for a user to input product information, target demographic information, desired message, and NG items, means for a terminal to transmit the input information and emotion recognition results by an emotion engine to the server, means for the server to automatically generate a catchy slogan, POP, and appeal using generative artificial intelligence based on the transmitted information and emotion recognition results, means for the server to set up a virtual user, generate multiple patterns, and verify effectiveness, means for the server to select optimal catchy slogans, POP, and appeals based on the results of the effectiveness verification, and means for the terminal to display the selected optimal catchy slogans, POP, and appeals to the user. This makes it possible to quickly and effectively provide optimal catchy slogans and appeals that correspond to the user's emotions.

[0829] "User" refers to the person who enters product information, target demographic information, the message they want to convey, and any prohibited items.

[0830] "Terminal" refers to a device that acquires information entered by a user and emotion recognition results and transmits them to a server.

[0831] An "emotion engine" refers to a system that analyzes emotions from a user's facial expressions and voice.

[0832] "Server" refers to a central computing device that receives information sent from terminals, automatically generates slogans and appeals using generative artificial intelligence, and verifies the effectiveness using virtual users.

[0833] "Generative AI" refers to technology that uses natural language processing and machine learning models to generate catchy slogans and appealing statements based on input information.

[0834] A "catchphrase" is a phrase that succinctly and attractively expresses the features and appeal of a product.

[0835] "POP" refers to advertising panels and posters used to effectively promote products in stores.

[0836] "Appeals" refers to all advertising materials aimed at promoting the sale of a product.

[0837] A "virtual user" refers to a fictitious consumer set up in a simulation, and is an entity that verifies effectiveness based on past behavioral and reaction data.

[0838] "Effectiveness verification" refers to the process of testing how effective the generated slogans and appeals actually are.

[0839] "Optimization" refers to the process of selecting the most effective slogan or appeal from multiple options.

[0840] "Display" refers to the act of showing the selected optimal catchphrase or appeal to the user.

[0841] This invention is a system in which users input product information, target demographic information, the words they want to convey, and items they don't want to convey, and by combining an emotion engine and generative artificial intelligence, it automatically generates optimal catchphrases and appeals, and provides them after verifying their effectiveness with virtual users.

[0842] System configuration

[0843] User operations

[0844] The user inputs the product name, product features, target demographic information (e.g., age group, gender), the message they want to convey, and any items they don't want to convey via their device. At the same time, the emotion engine simultaneously analyzes the user's facial expressions and voice. The emotion engine analyzes the user's emotional state in real time and generates emotion recognition results along with the input data.

[0845] Device operation

[0846] The device receives user input and emotion recognition results and sends them to the server, including data from the emotion engine, such as analyzing the user's emotions from facial expressions and voice using the EmotionEngine library.

[0847] Server Operations

[0848] The server receives the data sent from the device and temporarily stores it. It then passes the data to a generative AI module, which processes it, including the emotion recognition results. The generative AI module uses natural language processing and machine learning models to automatically generate slogans and appeals based on product information and the user's emotions. This generates marketing language that is appropriate for the user's current emotional state.

[0849] The server also performs virtual user simulations to verify the effectiveness of the generated multiple catchphrases and appeals. The virtual users simulate reactions based on past behavioral data and reaction data, and evaluate the effectiveness.

[0850] Effect verification and optimization

[0851] The server selects the most highly rated catchphrases and appeals based on the results of effectiveness testing, and also dynamically adjusts them according to the user's emotional state to generate optimal marketing language.

[0852] Providing results

[0853] The terminal displays the optimal catchphrases and appeals received from the server to the user, who can then use them to carry out effective marketing activities.

[0854] Specific examples

[0855] For example, if a user enters the following information:

[0856] Product Name: Innovative Thermo Mug

[0857] Target age group: 25-35

[0858] Target Gender: Female

[0859] Product Features: Stylish and highly effective insulated

[0860] Message to convey: Make every day more comfortable

[0861] No-no: Heavy

[0862] Along with this information, the emotion engine's emotion recognition results are also sent from the device to the server. The generative AI then generates a catchphrase such as "Innovative Thermo Mug - Enjoy a stylish and warm everyday life!" or a pop-up display such as "For women in their 20s and 30s, a must-see! Introducing the innovative Thermo Mug!". Because the marketing copy adapts based on the user's emotions, more personalized marketing text is generated.

[0863] The server uses a virtual user simulation to evaluate the above-mentioned catchphrase, giving it a score of 85 and the POP a score of 78. Based on these results, the optimal catchphrase and appeal are selected, and the dynamically adjusted content is sent to the terminal and displayed to the user.

[0864] Example prompt sentence:

[0865] "Product information:

[0866] Name: Innovative Thermo Mug

[0867] Features: Stylish and warm

[0868] Target audience:

[0869] Age range: 25-35

[0870] Gender: Female

[0871] What I want to convey:

[0872] Make every day more comfortable

[0873] Emotional state:

[0874] Users are relaxed

[0875] Product:

[0876] Catchphrase

[0877] POP"

[0878] These processes allow users to quickly and efficiently generate highly effective marketing copy.

[0879] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0880] Step 1:

[0881] The user inputs product information, target demographic information, the message they want to convey, and items that should not be displayed. The information entered by the user is entered into an input form on the device. Specifically, the product name, target age group, target gender, product features, the message they want to convey, and items that should not be displayed are entered. The input data is converted into a data format such as JSON.

[0882] Step 2:

[0883] The device captures the user's facial expressions and voice through the camera and microphone, and performs emotion recognition using an emotion engine. For example, the EmotionEngine library is used to analyze the user's emotional state (relaxed, stressed, etc.) in real time. This analyzed emotion data is also generated in JSON format.

[0884] Step 3:

[0885] The device sends the user's input data and the emotion recognition results from the emotion engine to the server. This data is sent via an HTTP request. The server temporarily stores the received data in a database or memory.

[0886] Step 4:

[0887] The server passes the received data to a generative AI module. The generative AI module uses natural language processing and machine learning models to generate slogans and appeals that take into account product information and the user's emotional state. For example, a generative AI model might generate the slogan "Innovative Thermo Mug - Enjoy a stylish and warm everyday life!"

[0888] Step 5:

[0889] The server runs a virtual user simulation. Based on past behavioral and reaction data, it virtually evaluates the effectiveness of the generated catchphrases and appeals. Multiple catchphrases and appeals generated during this process are stored along with their evaluation scores. For example, the catchphrase "Innovative Thermo Mug - Enjoy a stylish and warm everyday life!" is evaluated with 85 points.

[0890] Step 6:

[0891] The server analyzes the results of the effectiveness tests conducted by the virtual users and selects the slogan and appeal that received the highest evaluation. Specifically, the slogan and POP with the highest evaluation score are selected.

[0892] Step 7:

[0893] The server then sends the selected optimal slogan and appeal to the device, with dynamic adjustments being made to fine-tune the slogan and appeal to the user's emotional state.

[0894] Step 8:

[0895] The device receives the optimal slogan and appeal from the server and displays it to the user. The user can then use this information to carry out marketing activities. For example, the device might display the slogan "Innovative Thermo Mug - Enjoy a stylish and warm everyday life!" on the screen.

[0896] The above are the specific processing steps of the system that realizes the application example.

[0897] 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.

[0898] 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.

[0899] 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.

[0900] [Third embodiment]

[0901] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0902] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0903] 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).

[0904] 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.

[0905] 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.

[0906] 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).

[0907] 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.

[0908] 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.

[0909] 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.

[0910] 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.

[0911] 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.

[0912] 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."

[0913] The present invention is a system in which the user inputs product information, target demographic information, the message they want to convey, and any items that are not allowed, and the terminal sends this to the server, which then uses generative artificial intelligence to automatically generate catchy slogans, POPs, and appeals, verifies their effectiveness using virtual users, selects the most suitable ones, and provides them to the user again via the terminal.

[0914] Natural language explanation of program processing

[0915] User operations

[0916] The user inputs the product name, product features, target demographic information (age group, gender, etc.), the message they want to convey, and items that should not be displayed via the terminal.

[0917] Device operation

[0918] The terminal receives the input information, checks the data format, and if there are no errors, converts it into an appropriate format such as JSON and sends it to the server.

[0919] Server Operations

[0920] The server receives the data sent from the device, stores it in a database, and then passes the data to the generative artificial intelligence module.

[0921] Generative AI automatically generates catchy slogans, POP displays, and advertising materials based on input information. The generation process uses natural language processing and machine learning algorithms.

[0922] For example, a catchy slogan such as "Innovative Thermo Mug - Stylish and highly insulating for everyday life!" or a POP such as "A must-see for women in their 20s and 30s! Introducing the innovative Thermo Mug!" can be generated.

[0923] Effectiveness verification

[0924] The server runs a virtual user simulation to verify the effectiveness of multiple variations of generated catchphrases and appeals. The virtual users are constructed based on past behavioral data and similar market data, and simulate the reactions of the target demographic.

[0925] For example, the catchphrase "Innovative Thermo Mug - Stylish and highly insulating for everyday life!" was rated at 85 points, while the POP "For women in their 20s and 30s, a must-see! Introducing the innovative Thermo Mug!" was rated at 78 points.

[0926] Optimization and Selection

[0927] Based on the results of the effectiveness verification, the server selects the most highly rated catchphrases and appeals, which are then provided to the user as the optimal marketing copy.

[0928] Providing results

[0929] The terminal receives the optimal catchphrase and appeal from the server and displays it to the user, who can then carry out effective marketing activities based on it.

[0930] Specific examples

[0931] 1. The user enters the following information:

[0932] Product Name: "Innovative Thermo Mug"

[0933] Target age group: 25-35

[0934] Target Gender: "Female"

[0935] Product Features: "Stylish and highly effective at retaining heat"

[0936] Message we want to convey: "Make every day more comfortable"

[0937] No-no: "Heavy"

[0938] 2. The device receives this, formats it correctly, and sends it to the server.

[0939] 3. The server receives the data, and the generative AI generates a catchy slogan such as "Innovative Thermo Mug - Enjoy a stylish and warm everyday life!" and a POP that reads "For women in their 20s and 30s, a must-see! Introducing the innovative Thermo Mug!"

[0940] 4. The server conducts effectiveness testing using virtual users, and the catchphrase is rated 85 points and the POP is rated 78 points.

[0941] 5. The server selects the most suitable catchphrase and provides it to the user via the terminal.

[0942] 6. Users can carry out effective marketing activities using the optimal catchphrases provided.

[0943] The above is a specific embodiment for carrying out the present invention, which enables users to quickly carry out effective and efficient marketing activities.

[0944] The processing flow will be explained below.

[0945] Step 1:

[0946] The user enters product information, target demographic information, the message they want to convey, and items that should not be displayed via the terminal.

[0947] Step 2:

[0948] The terminal receives the entered information and checks the data format to see if there are any errors or omissions.

[0949] Step 3:

[0950] The device converts the confirmed information into an appropriate format, such as JSON, and sends it to the server.

[0951] Step 4:

[0952] The server receives the data sent from the terminal and temporarily stores it in a database or memory.

[0953] Step 5:

[0954] The server passes the stored data to a generative AI module, which uses natural language processing and machine learning models to automatically generate slogans, POPs, and promotional materials.

[0955] Step 6:

[0956] The server runs a virtual user simulation to verify the effectiveness of multiple variations of generated copy and appeals. The virtual users' reactions are simulated based on past behavioral data and similar market data.

[0957] Step 7:

[0958] Based on the results of the effectiveness verification, the server selects the slogan and appeal that receive the highest score.

[0959] Step 8:

[0960] The server sends the selected optimal slogan and appeal back to the terminal.

[0961] Step 9:

[0962] The device displays the most suitable catchphrase or appeal to the user.

[0963] Step 10:

[0964] Marketing activities are carried out based on catchphrases and appeals provided by users.

[0965] Example 1

[0966] 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."

[0967] Conventional marketing copy generation systems require a lot of manual work to create catchy slogans and promotional materials, which requires a lot of time and effort. Furthermore, there was a lack of a way to verify the actual effectiveness beforehand, which made the effectiveness of the generated copy unclear. Furthermore, the lack of accurate simulations using past data made it difficult to effectively market to the target demographic.

[0968] 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.

[0969] In this invention, the server includes means for automatically generating catchphrases, promotional materials, and advertising materials using generative artificial intelligence, means for verifying the effectiveness of multiple patterns using virtual users, and means for selecting optimal catchphrases, promotional materials, and advertising materials based on the results of the effectiveness verification, thereby enabling users to quickly and accurately generate effective marketing copy and verify its effectiveness in the actual market in advance.

[0970] "User" refers to an individual or organization that uses the system to enter product information, target demographic information, the message they wish to convey, and any prohibited items.

[0971] "Terminal" refers to an electronic device or equipment used by a user to input and transmit information.

[0972] "Server" refers to a central processing unit that receives and stores information sent from a terminal, and then uses generative artificial intelligence to automatically generate catchy slogans, promotional materials, and advertising materials, verifies their effectiveness, selects the most suitable ones, and provides them to the user.

[0973] "Generative AI" refers to AI technology that uses natural language processing and machine learning algorithms to automatically generate slogans, promotional materials, and advertising materials from input information.

[0974] A "catchphrase" is a short phrase that succinctly expresses the features and appeal of a product or service and appeals to the target audience.

[0975] "Promotional materials" refers to media such as advertising and promotional documents, images, and videos created to promote products and services.

[0976] "Advertising materials" refers to promotional materials such as posters, leaflets, and banner advertisements that are produced to convey information about products and services.

[0977] "Virtual users" refers to fictitious users in software that are constructed based on historical behavioral data and similar market data to simulate the reactions of target demographics.

[0978] "Effectiveness verification" refers to the process of evaluating the impact that the generated catchphrases, promotional materials, and advertising materials have on the target audience.

[0979] "Optimization" refers to the process of selecting the most highly rated slogans, promotional materials, and advertising materials based on the results of effectiveness verification.

[0980] The present invention is a system for improving the efficiency and effectiveness of product marketing activities. Specific embodiments of the system will be described below.

[0981] First, the user uses the device to input the necessary information. This information includes "product information" such as the product name and features, "target demographic information" such as the target age group and gender, the desired message, and any items that should not be displayed.

[0982] Next, the terminal checks the data format of the information entered by the user. After confirming that there are no errors at this stage, it converts the information into an appropriate format (e.g., JSON format) and sends it to the server. This process typically uses an API request.

[0983] The server receives the data sent from the device and stores it in a database. At this time, data integrity and authentication processes are also performed in parallel. The stored data becomes input to the subsequent generative AI module.

[0984] The server then uses generative artificial intelligence to automatically generate slogans, promotional materials, and advertising materials. Generative AI utilizes natural language processing and machine learning algorithms to generate optimal marketing language based on the input information. For example, it generates a slogan such as "Innovative Thermo Mug - Enjoy a stylish and warm everyday life!" or a POP display that reads, "A must-see for women in their 20s and 30s! Introducing the innovative Thermo Mug!"

[0985] After generation, the server performs effectiveness testing using virtual users. Virtual users are simulated based on past behavioral data and similar market data to evaluate the effectiveness of the generated slogans, promotional materials, and advertising materials. The results of this simulation may yield a score of 85 for the slogan and 78 for the POP, for example.

[0986] Based on the evaluation results, the server selects the most suitable catchphrases, promotional materials, and advertising materials. This process is carried out by analyzing the results of effectiveness verification.

[0987] Finally, the server sends the selected optimal marketing phrases to the terminal, which then displays them to the user, allowing the user to quickly carry out effective marketing activities based on the selected phrases displayed.

[0988] Specific examples

[0989] For example, if the user enters the following information:

[0990] Product Name: Innovative Thermo Mug

[0991] Target age group: 25-35

[0992] Target Gender: Female

[0993] Product Features: Stylish and highly effective insulated

[0994] Message to convey: Make every day more comfortable

[0995] No-no: Heavy

[0996] Based on this information, effective catchphrases, promotional materials, and advertising materials are generated through the process described above, enabling users to plan and implement marketing activities quickly and accurately.

[0997] The above is a specific embodiment for carrying out the present invention. It is expected that this system will improve the efficiency and effectiveness of marketing operations.

[0998] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0999] Step 1: User Enters Information

[1000] The user enters the product name and features, target demographic information (e.g., age group, gender), the message they want to convey, and any prohibited items into an input form on their device. This provides the basic data that the system needs to obtain the necessary information. The entered information is temporarily saved as text data on the device.

[1001] Step 2: Check the data on your device

[1002] The terminal checks the format of the data entered by the user. It verifies that there are no errors in the format or content of the input values, and if an error is detected, it prompts the user to correct it. Correctly entered data is converted into a format that can be applied to subsequent processing (e.g., JSON format). An example of input data would be in the following format:

[1003] {

[1004] "product_name": "Innovative Thermo Mug",

[1005] "target_age_group": "25-35",

[1006] "target_gender": "female",

[1007] "product_features": "Stylish and warm",

[1008] "key_message": "Make every day more comfortable",

[1009] "ng_items": ["heavy"]

[1010] }

[1011] Step 3: The device sends the data to the server

[1012] The device sends properly formatted data to the server, which communicates using API requests, and verifies that the input data was sent correctly.

[1013] Step 4: The server receives and stores the data

[1014] The server receives the data sent from the device and stores it in a database, during which data integrity and authentication processes are carried out in parallel, and the stored data is used for subsequent processing.

[1015] Step 5: The server provides the data to the generative AI

[1016] The server provides the data stored in the database to the generative AI. Based on this data, the generative AI generates catchphrases, promotional materials, and advertising materials. Data reception and provision is performed within the server via an API.

[1017] Step 6: Generative AI generates taglines, promotional materials, and advertising materials

[1018] Generative AI uses natural language processing and machine learning algorithms to automatically generate catchphrases, promotional materials, and advertising materials based on input information. For example, a catchphrase might be generated: "Innovative Thermo Mug - Stylish and highly effective insulation for everyday life!" The generated data is then sent back to the server.

[1019] Step 7: Test the server with virtual users

[1020] The server then tests the effectiveness of the generated multiple catchphrases and promotional materials on virtual users. The virtual users are simulated based on past behavioral data and similar market data, and the effectiveness of the generated phrases is predicted. This process calculates a score for each phrase.

[1021] Step 8: The server selects the best wording

[1022] The server selects the optimal catchphrase and promotional materials based on the results of the effectiveness verification. The most highly rated phrase is selected based on the evaluation scores of the virtual users. This selection data is then sent to the terminal.

[1023] Step 9: The device displays the most appropriate text to the user.

[1024] The terminal receives the optimal catchphrases and promotional materials sent from the server and displays them to the user, who can then check the displayed text and carry out effective marketing activities based on it.

[1025] These are the specific processing steps of the program for this system. Through this process, users can automatically generate effective marketing copy and use it quickly and accurately.

[1026] (Application example 1)

[1027] 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."

[1028] In advertising campaigns, it is extremely important to generate effective slogans and appeals in a short amount of time and to confirm their effectiveness on the target audience in advance. However, conventional methods rely heavily on human creativity, which is time-consuming and costly, and it is difficult to guarantee effectiveness. In particular, the effectiveness of generated advertising copy cannot be fully verified because the vast amount of past behavioral data and similar market data is not fully utilized. The purpose of this invention is to solve these problems and realize effective and efficient generation and verification of advertising copy.

[1029] 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.

[1030] In this invention, the server includes a means for inputting data into the generative artificial intelligence using prompt sentences, a means for utilizing past behavioral data and similar market data through virtual user simulation, and a means for calculating the effectiveness score of the generated catchphrases and POPs. This makes it possible to automatically generate multiple catchphrases and appeals based on product information and target demographic information entered by the user, and verify their effectiveness through virtual user simulation, thereby easily and quickly selecting the optimal advertising wording.

[1031] "User" refers to the person who inputs product information, target demographic information, desired message, and prohibited items into the system.

[1032] "Product information" refers to information regarding the product name, features, use, etc. that is entered into the system.

[1033] "Target demographic information" refers to information such as age group, gender, interests, etc. that is set as the target of advertising.

[1034] "The message you want to convey" refers to the main message used to communicate the value of a product or service through advertising or catchphrases.

[1035] "NG items" refer to words and expressions that should be avoided when creating advertising copy or catchy slogans.

[1036] "Terminal" refers to a device that transmits information entered by a user to a server. Examples include smartphones, tablets, and personal computers.

[1037] "Server" refers to a computer system that receives data entered by users and uses generative artificial intelligence to generate slogans and appeals and verify their effectiveness.

[1038] "Generative artificial intelligence" refers to technology that automatically generates catchy slogans, POPs, and appealing materials using natural language processing and machine learning models.

[1039] A "catchphrase" is a short, catchy sentence generated by generative artificial intelligence and used in advertisements and appeals.

[1040] "POP" refers to promotional materials used in advertising, product displays, etc. For example, it includes posters and signs used in stores.

[1041] "Appeals" refers to advertising media and texts used to communicate the characteristics and appeal of a product to consumers.

[1042] "Virtual User" refers to a fictitious user constructed based on historical behavioral data and similar market data and used for the purpose of simulating the effectiveness of generated advertising copy.

[1043] "Effectiveness verification" refers to the process of evaluating the effectiveness of generated catchphrases and appeals using virtual users.

[1044] A "prompt sentence" refers to an introductory or instruction sentence used when inputting data into a generative artificial intelligence.

[1045] The "effectiveness score" refers to an evaluation value that indicates how effective the generated catchphrase or POP is for the virtual user.

[1046] This invention is a system in which the user inputs product information, target demographic information, the message they want to convey, and any items they don't want, and the terminal sends this to a server, which then uses generative artificial intelligence to automatically generate catch phrases, POPs, and appeals, and selects the most suitable advertising message.

[1047] System Configuration

[1048] This system includes a terminal used by the user, a server that processes data, and generative artificial intelligence. The terminals are common devices such as smartphones, tablets, and PCs, and the server is a cloud server or a server in a data center.

[1049] Processing flow

[1050] The server receives product information, target demographic information, desired message, and prohibited items entered by the user through their device and stores them in a database. It then uses generative AI to generate slogans and POPs, and tests their effectiveness using virtual users. Based on the results of the effectiveness test, it selects the optimal slogan and POP and returns them to the user.

[1051] Technology used

[1052] Generative AI uses natural language processing and machine learning models to generate catchy slogans, POPs, and promotional materials. Specific AI modules include language models such as GPT-3. These language models perform the generation process by inputting prompt sentences.

[1053] Specific examples

[1054] For example, if a user enters the following information:

[1055] Product Name: "Innovative Thermo Mug"

[1056] Target age group: 25-35

[1057] Target Gender: "Female"

[1058] Product Features: "Stylish and highly effective at retaining heat"

[1059] Message we want to convey: "Make every day more comfortable"

[1060] No-no: "Heavy"

[1061] The server receives this information and inputs the following prompt into the generative artificial intelligence:

[1062] Product Name: Innovative Thermo Mug

[1063] Target: Women aged 25-35

[1064] Product Features: Stylish and highly effective insulated

[1065] Message to convey: Make every day more comfortable

[1066] No-no: Heavy

[1067] Generation: Catchphrases and POP

[1068] Based on the above prompt, the generative artificial intelligence generates a catchphrase such as "Innovative Thermo Mug - Enjoy a stylish and warm everyday life!" and a POP that reads, "For women aged 25-35, a must-see! Introducing the innovative Thermo Mug!"

[1069] The server then verifies the effectiveness of the generated advertising copy through virtual user simulation, and for example, the tagline is rated at 85 points and the POP at 78 points. The optimal tagline and POP are then selected and provided to the user.

[1070] This invention enables users to effectively and efficiently generate and verify advertising copy, enabling them to quickly carry out optimal marketing activities.

[1071] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1072] Step 1:

[1073] The user enters product information, target demographic information, the message they want to convey, and any items that should not be included into the terminal.

[1074] Input: Product name, target demographic information (age group, gender, etc.), product features, desired message, prohibited items

[1075] Output: Receiving user input data at the terminal

[1076] Specific operation: The user enters the necessary information into the device's input form, which the device saves as internal data.

[1077] Step 2:

[1078] The terminal converts the input information into JSON format and sends it to the server.

[1079] Input: Information entered by the user (product name, target demographic information, product features, desired message, prohibited items)

[1080] Output: JSON format data, sent to server

[1081] Specific operation: The terminal checks the data entered by the user, converts it into JSON format, and then sends the data to the server via internet communication.

[1082] Step 3:

[1083] The server receives the transmitted information and stores it in a database.

[1084] Input: JSON format data

[1085] Output: User-entered data stored in a database

[1086] Specific operation: The server parses the received JSON data and stores it in the database.

[1087] Step 4:

[1088] The server generates a prompt sentence in the generative artificial intelligence module, passes the data, and generates a catchphrase, POP, and appealing materials.

[1089] Input: User-entered data stored in a database

[1090] Output: Generated taglines, POPs, and appeals

[1091] What happens: The server retrieves the necessary information from the database and generates the following prompt:

[1092] Product Name: Innovative Thermo Mug

[1093] Target: Women aged 25-35

[1094] Product Features: Stylish and highly effective insulated

[1095] Message to convey: Make every day more comfortable

[1096] No-no: Heavy

[1097] Generation: Catchphrases and POP

[1098] This prompt text is input into a generative artificial intelligence (such as GPT-3) to generate a catchy slogan or POP.

[1099] Step 5:

[1100] The server uses virtual users to verify the effectiveness of the generated catchphrases and POPs.

[1101] Input: Generated tagline, POP, historical behavior data, similar market data

[1102] Output: Calculated effectiveness score

[1103] Specific operation: The virtual user simulation module simulates the effectiveness of the generated catchphrases and POPs based on past behavioral data and similar market data. It calculates an effectiveness score and saves the results on the server.

[1104] Step 6:

[1105] The server selects the most suitable catchphrase, POP, and appeal based on the results of the effectiveness verification.

[1106] Input: Calculated effectiveness score

[1107] Output: Optimal copy, POP, and appeal materials

[1108] Specific operation: The server compares the effectiveness scores of multiple catchphrases and POPs and selects the one with the highest score.

[1109] Step 7:

[1110] The terminal displays the selected optimum catchphrase, POP, and appeal to the user.

[1111] Input: Optimal tagline, POP, and appeal

[1112] Output: Copy, POP, and promotional materials displayed on the terminal

[1113] Specific operation: The server sends the selected optimal slogan and POP to the terminal, which displays them to the user. The user can then review them and use them in their marketing activities.

[1114] 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.

[1115] The present invention combines an emotion engine with a system in which the user inputs product information, target demographic information, the message they want to convey, and any items that are not allowed, and the terminal sends this to a server, which then uses generative artificial intelligence to automatically generate catchy slogans, POPs, and appeals, and after verifying their effectiveness with virtual users, selects the most suitable ones and provides them to the user again via the terminal.

[1116] Natural language explanation of program processing

[1117] User operations

[1118] The user inputs the product name, product features, target demographic information (age group, gender, etc.), the words they want to convey, and any items they do not want to convey via the terminal. At this time, the user's facial expressions and voice are analyzed by the emotion engine.

[1119] Device operation

[1120] The device receives user input and simultaneously receives emotion recognition results from the emotion engine. Once the emotion recognition results are obtained, they are added to the input data and sent to the server.

[1121] Server Operations

[1122] The server receives the data sent from the device and temporarily stores it in a database or memory. It then passes the data to a generative AI module for processing, including the emotion recognition results.

[1123] The generative AI module uses natural language processing and machine learning models to automatically generate catchphrases, POP displays, and promotional materials based on product information and user emotions. By incorporating the results of emotion recognition, marketing language appropriate to the user's current emotional state is generated.

[1124] For example, when a user generates a catchphrase such as "Innovative Thermo Mug - Enjoy a stylish and warm everyday life!" or a POP such as "A must-see for women in their 20s and 30s! Introducing the innovative Thermo Mug!", the system makes adjustments based on the analysis results of the emotion engine.

[1125] Emotion-Based Adjustments

[1126] Based on the emotion recognition results, the server generates a message that encourages the user to adjust their emotional state. For example, if the user is feeling stressed, the server may suggest inputting in a relaxed state.

[1127] Effectiveness verification

[1128] The server runs a virtual user simulation to verify the effectiveness of multiple variations of generated catchphrases and appeals. The virtual users' reactions are simulated based on past behavioral data and similar market data.

[1129] For example, the catchphrase "Innovative Thermo Mug - Stylish and highly insulating for everyday life!" was rated at 85 points, while the POP "For women in their 20s and 30s, a must-see! Introducing the innovative Thermo Mug!" was rated at 78 points.

[1130] Optimization and Selection

[1131] The server selects the most highly rated catchphrases and appeals based on the results of the effectiveness verification, and dynamically regenerates them to respond to changes in user emotions.

[1132] Providing results

[1133] The terminal receives the optimal catchphrase and appeal from the server and displays it to the user, who can then carry out effective marketing activities based on it.

[1134] Specific examples

[1135] 1. The user enters the following information:

[1136] Product Name: "Innovative Thermo Mug"

[1137] Target age group: 25-35

[1138] Target Gender: "Female"

[1139] Product Features: "Stylish and highly effective at retaining heat"

[1140] Message we want to convey: "Make every day more comfortable"

[1141] No-no: "Heavy"

[1142] 2. The device uses an emotion engine to analyze the user's facial expressions and voice, and obtains emotion recognition results. At the same time, the input information is converted to JSON format and sent to the server along with the emotion recognition results.

[1143] 3. The server receives the data, and the generative AI generates a POP display such as a catchphrase "Innovative Thermo Mug - Stylish and highly effective for everyday use!" or "A must-see for women in their 20s and 30s! Introducing the innovative Thermo Mug!" The display adapts based on the user's emotions.

[1144] 4. The server conducts effectiveness testing using virtual users, and the catchphrase is rated 85 points and the POP is rated 78 points.

[1145] 5. The server selects the most appropriate catchphrase and provides dynamically adjusted appeals according to the user's emotional state.

[1146] 6. The device displays the most suitable slogan and appeal to the user, who then uses this information to carry out marketing activities.

[1147] The above is a specific embodiment for implementing the present invention in combination with an emotion engine, which enables users to quickly obtain appeals that are expected to be highly effective, effective, and efficient.

[1148] The processing flow will be explained below.

[1149] MODE FOR CARRYING OUT THE INVENTION (PROCESS FLOW)

[1150] Step 1:

[1151] Users input product information, target demographic information, the message they want to convey, and any items they don't want to include via a terminal. As they input information, the terminal uses a camera and microphone to capture the user's facial expressions and voice in real time.

[1152] Step 2:

[1153] The device sends the facial expression and voice data it acquires along with the input information to the emotion engine, which then uses facial expression recognition and voice analysis technologies to analyze the user's emotions and generate emotion recognition results.

[1154] Step 3:

[1155] The device converts the user's input information and emotion recognition results into JSON format and sends this data to the server.

[1156] Step 4:

[1157] The server receives the data sent from the device and temporarily stores it in a database or memory. The data includes product information, target demographic information, desired message, NG items, and emotion recognition results.

[1158] Step 5:

[1159] The server passes the stored data to a generative AI module, which uses natural language processing and machine learning models to automatically generate catchphrases, POP displays, and promotional materials based on product information and user sentiment.

[1160] Step 6:

[1161] The server adjusts the emotional compatibility of the generated slogan and POP to the user based on the emotion recognition results. For example, if the user is expressing positive emotions, it uses stronger expressions, and if the user is expressing negative emotions, it uses calmer expressions.

[1162] Step 7:

[1163] The server then runs the generated slogans and POPs through a virtual user simulation to verify their effectiveness. The virtual user simulation simulates reactions to different slogans and POPs based on past behavioral data and market data.

[1164] Step 8:

[1165] The server selects the slogan and appeal that received the highest score based on the results of the effectiveness verification, and also makes final adjustments based on user emotions.

[1166] Step 9:

[1167] The device receives the optimal slogan and appeal selected from the server and displays it to the user. During display, it monitors the user's emotions and provides an adjusted version in real time as needed.

[1168] Step 10:

[1169] Marketing activities are carried out based on the catchphrases and appeals provided by users. For example, they can be used in point-of-purchase displays in physical stores, printed on book jackets, or used in web advertisements.

[1170] Specific examples

[1171] The user enters the following information:

[1172] Product Name: "Innovative Thermo Mug"

[1173] Target age group: 25-35

[1174] Target Gender: "Female"

[1175] Product Features: "Stylish and highly effective at retaining heat"

[1176] Message we want to convey: "Make every day more comfortable"

[1177] No-no: "Heavy"

[1178] At the same time, the device camera detects the user's smile and the microphone analyzes the upbeat tone of the voice, and the emotion engine recognizes that the user is expressing positive emotions.

[1179] The device sends the input information and emotion recognition results to the server in JSON format.

[1180] The server receives the information and passes it to the generative AI module. The AI ​​generates POPs such as catchphrases like "Innovative Thermo Mug - Enjoy a stylish and warm everyday life!" and "A must-see for women in their 20s and 30s! Introducing the innovative Thermo Mug!". The emphasis is on positive emotions.

[1181] The server runs a virtual user simulation and scores the slogan 85 points and the POP 78 points.

[1182] The device displays the most suitable catchphrase to the user, who can then use it for point-of-purchase ads in physical stores or web advertisements.

[1183] In this way, a system is provided that can quickly generate effective catchphrases and appeals that take into account the user's emotions and can be used in marketing activities.

[1184] Example 2

[1185] 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."

[1186] In modern marketing, rapid and effective generation and verification of effectiveness of appeals and catchphrases is required to maximize their impact on target audiences. However, many systems have difficulty generating marketing copy that takes user emotions into account or conducting detailed effectiveness verification using virtual users. For this reason, a system is needed that can automatically generate marketing copy that takes user emotions into account and verify its effectiveness with high accuracy.

[1187] 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.

[1188] In this invention, the server includes means for automatically generating catchphrases, POPs, and appeals using generative artificial intelligence based on information sent from the terminal and emotion recognition results, means for setting virtual users, generating multiple patterns, and verifying effectiveness, and means for selecting optimal catchphrases, POPs, and appeals based on the results of the effectiveness verification. This makes it possible to automatically generate marketing language that takes user emotions into consideration, and to verify its effectiveness with high accuracy.

[1189] "Product Information" means the features, name, specifications, and other details relating to a particular product.

[1190] "Target demographic information" refers to information about the target customer base for a particular product or service, and typically includes demographic data such as age, gender, and preferences.

[1191] "Words to be conveyed" refers to the message or catchphrase that a user wants to convey about a particular product or service.

[1192] "NG items" refer to words and expressions that must not be used in marketing copy.

[1193] "Emotion recognition result" refers to information about the emotional state obtained by the emotion engine by analyzing the user's facial expressions and voice.

[1194] A "terminal" is an electronic device used by a user to input or receive information, and includes smartphones, tablets, personal computers, etc.

[1195] "Server" refers to the central system that manages the receipt, storage, analysis of data, and generated results.

[1196] "Generative artificial intelligence" refers to technology that uses natural language processing and machine learning models to automatically generate catchy slogans, POPs, and appealing materials.

[1197] A "catchphrase" is a short phrase that succinctly conveys the appeal of a product or service.

[1198] "POP" stands for point of purchase, a visual display used to promote a product or service.

[1199] "Appeal" refers to advertising or promotional materials promoting a particular product or service.

[1200] "Virtual user" refers to a virtual user model that simulates the reactions of an actual user based on past behavioral and reaction data.

[1201] "Effectiveness verification" refers to the process of evaluating how effective the generated slogans and appeals are with the target audience.

[1202] The present invention is a system in which the user inputs product information, target demographic information, the message they want to convey, and any items that are not allowed, and the terminal sends this to the server, which then uses generative artificial intelligence to automatically generate catchy slogans, POPs, and appeals, verifies their effectiveness using virtual users, selects the most suitable ones, and provides them to the user again via the terminal.

[1203] Hardware and software used

[1204] Device: Refers to an electronic device such as a smartphone, tablet, or PC. The device receives user input and uses an emotion engine to analyze the user's facial expressions and voice.

[1205] Server: A central system that manages the reception, storage, analysis, and generation of data. The server is equipped with a generative artificial intelligence module that generates text using natural language processing and machine learning models.

[1206] Generative AI: A system that combines natural language processing and machine learning models and is used to automatically generate marketing copy.

[1207] Emotion engine: Software that analyzes the user's facial expressions and voice and provides emotion recognition results.

[1208] Program processing

[1209] User operations

[1210] The user inputs the product name, product features, target demographic information (age group, gender, etc.), the message they want to convey, and any items they don't want to convey via their device. At this time, the emotion engine analyzes the user's facial expressions and voice to obtain emotion recognition results.

[1211] Device operation

[1212] The device receives the user's input and simultaneously obtains the emotion recognition results from the emotion engine, adds them to the input data, and sends them to the server. Specifically, it converts the following prompt text into JSON format and sends it:

[1213] Product Name: "Innovative Thermo Mug"

[1214] Product Features: "Stylish and highly effective at retaining heat"

[1215] Target demographic: "Women aged 25-35"

[1216] Message we want to convey: "Make every day more comfortable"

[1217] No-no: "Heavy"

[1218] Emotion recognition result: "Positive"

[1219] Server Operations

[1220] The server receives the data sent from the device and temporarily stores it in a database or memory. It then passes the data to the generative AI module, which begins processing it, including the emotion recognition results.

[1221] The generative AI module uses natural language processing and machine learning models to automatically generate catchphrases, POP displays, and promotional materials based on product information and user emotions. By incorporating the emotion recognition results, marketing language appropriate to the user's current emotional state is generated. For example, when generating a catchphrase such as "Innovative Thermo Mug - Enjoy a stylish and warm everyday life!" or a POP display such as "Innovative Thermo Mug for women in their 20s and 30s! A must-see!", adjustments are made based on the analysis results of the emotion engine.

[1222] Effectiveness verification

[1223] The server runs a virtual user simulation to verify the effectiveness of multiple generated catchphrases and appeals. The virtual users' reactions are simulated based on past behavioral data and similar market data. For example, the catchphrase "Innovative Thermo Mug - Enjoy a stylish and warm everyday life!" is rated at 85 points, while the POP "A must-see for women in their 20s and 30s! Introducing the innovative Thermo Mug!" is rated at 78 points.

[1224] Optimization and Selection

[1225] The server selects the most highly rated catchphrases and appeals based on the results of the effectiveness verification. It also has the function of dynamically regenerating catchphrases and appeals according to the user's emotional state.

[1226] Providing results

[1227] The terminal displays the optimal catchphrase and appeal received from the server to the user, who can then carry out marketing activities based on the provided information.

[1228] The above is a specific embodiment for implementing the present invention in combination with an emotion engine, which enables users to quickly obtain appeals that are expected to be highly effective, effective, and efficient.

[1229] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1230] Step 1:

[1231] The user inputs product information, product features, target demographic information (age group, gender, etc.), desired message, and prohibited items into the terminal. For example, the product name is "Innovative Thermo Mug," the product features are "Stylish and highly effective at retaining heat," the target demographic is "Women aged 25-35," the desired message is "Makes everyday life more comfortable," and the prohibited items are "Heavy." The emotion engine then analyzes the user's facial expressions and voice to obtain emotion recognition results. The input data consists of information from the user and the emotion recognition results (positive).

[1232] Step 2:

[1233] The device converts the user's input information and emotion recognition results into JSON format and sends it to the server. The input data is the user information and emotion recognition results obtained in step 1, and the following JSON data is generated as output:

[1234] json

[1235] {

[1236] "Product name": "Innovative Thermo Mug",

[1237] "Product Features": "Stylish and highly effective at keeping you warm",

[1238] "Target demographic": "Women aged 25-35",

[1239] "Message": "Make every day more comfortable",

[1240] "NG item": "heavy",

[1241] "Emotion Recognition Result": "Positive"

[1242] }

[1243] This is sent to the server.

[1244] Step 3:

[1245] The server receives the JSON data sent from the terminal and temporarily stores it in a database or memory. The input data is the JSON data sent in step 2, and is temporarily stored inside the server. Specifically, it is stored in a database using, for example, an SQL command:

[1246] sql

[1247] INSERT INTO product information (product name, product features, target demographic, desired message, NG items, emotion recognition results)

[1248] VALUES ("Innovative Thermo Mug", "Stylish and keeps you warm", "Women 25-35", "Makes everyday life more comfortable", "Heavy", "Positive");

[1249] Step 4:

[1250] The server passes the stored data to a generative AI module and begins analysis. The input data is product information stored in the database and emotion recognition results, and the generative AI module generates a catchphrase, POP, and appealing material. For example, the following text is output using a natural language processing algorithm:

[1251] Tagline: "Innovative Thermo Mug - Stylish and warm for everyday use!"

[1252] POP: "A must-see for women in their 20s and 30s! Introducing the revolutionary Thermo Mug!"

[1253] Step 5:

[1254] The server then runs a virtual user simulation of the generated slogans and POPs to verify their effectiveness. The input data is the marketing statements generated in step 4, and the simulation algorithm calculates an evaluation score based on past behavioral data and similar market data. For example, the following results can be obtained:

[1255] Catchphrase: 85 points

[1256] POP: 78 points

[1257] Step 6:

[1258] The server selects the most highly rated catchphrase and appeal based on the results of the effectiveness verification. It also regenerates them as needed based on the user's emotional state. The input data are the evaluation results obtained in step 5, and the optimal catchphrase and appeal are selected as the output.

[1259] Step 7:

[1260] The terminal displays the optimal catchphrase and appeal received from the server to the user. The input data is the optimal catchphrase and appeal selected in step 6, and is visually displayed to the user. The user can then carry out marketing activities based on this.

[1261] The above are the specific processing steps of the program in this system, which enables users to quickly obtain effective and efficient marketing copy.

[1262] (Application example 2)

[1263] 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."

[1264] In conventional marketing activities, creating effective slogans and appeals requires specialized knowledge and experience, and requires a great deal of time and effort. Furthermore, since there was no means of generating effective advertisements that incorporated users' emotions and reactions in real time, it was difficult to quickly provide advertisements optimized for individual users. The present invention aims to solve these problems by providing a system that automatically generates effective slogans and appeals based on user input information and emotional data, and provides the optimal ones after verifying their effectiveness with virtual users.

[1265] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1266] In this invention, the server includes means for a user to input product information, target demographic information, desired message, and NG items, means for a terminal to transmit the input information and emotion recognition results by an emotion engine to the server, means for the server to automatically generate a catchy slogan, POP, and appeal using generative artificial intelligence based on the transmitted information and emotion recognition results, means for the server to set up a virtual user, generate multiple patterns, and verify effectiveness, means for the server to select optimal catchy slogans, POP, and appeals based on the results of the effectiveness verification, and means for the terminal to display the selected optimal catchy slogans, POP, and appeals to the user. This makes it possible to quickly and effectively provide optimal catchy slogans and appeals that correspond to the user's emotions.

[1267] "User" refers to the person who enters product information, target demographic information, the message they want to convey, and any prohibited items.

[1268] "Terminal" refers to a device that acquires information entered by a user and emotion recognition results and transmits them to a server.

[1269] An "emotion engine" refers to a system that analyzes emotions from a user's facial expressions and voice.

[1270] "Server" refers to a central computing device that receives information sent from terminals, automatically generates slogans and appeals using generative artificial intelligence, and verifies the effectiveness using virtual users.

[1271] "Generative AI" refers to technology that uses natural language processing and machine learning models to generate catchy slogans and appealing statements based on input information.

[1272] A "catchphrase" is a phrase that succinctly and attractively expresses the features and appeal of a product.

[1273] "POP" refers to advertising panels and posters used to effectively promote products in stores.

[1274] "Appeals" refers to all advertising materials aimed at promoting the sale of a product.

[1275] A "virtual user" refers to a fictitious consumer set up in a simulation, and is an entity that verifies effectiveness based on past behavioral and reaction data.

[1276] "Effectiveness verification" refers to the process of testing how effective the generated slogans and appeals actually are.

[1277] "Optimization" refers to the process of selecting the most effective slogan or appeal from multiple options.

[1278] "Display" refers to the act of showing the selected optimal catchphrase or appeal to the user.

[1279] This invention is a system in which users input product information, target demographic information, the words they want to convey, and items they don't want to convey, and by combining an emotion engine and generative artificial intelligence, it automatically generates optimal catchphrases and appeals, and provides them after verifying their effectiveness with virtual users.

[1280] System configuration

[1281] User operations

[1282] The user inputs the product name, product features, target demographic information (e.g., age group, gender), the message they want to convey, and any items they don't want to convey via their device. At the same time, the emotion engine simultaneously analyzes the user's facial expressions and voice. The emotion engine analyzes the user's emotional state in real time and generates emotion recognition results along with the input data.

[1283] Device operation

[1284] The device receives user input and emotion recognition results and sends them to the server, including data from the emotion engine, such as analyzing the user's emotions from facial expressions and voice using the EmotionEngine library.

[1285] Server Operations

[1286] The server receives the data sent from the device and temporarily stores it. It then passes the data to a generative AI module, which processes it, including the emotion recognition results. The generative AI module uses natural language processing and machine learning models to automatically generate slogans and appeals based on product information and the user's emotions. This generates marketing language that is appropriate for the user's current emotional state.

[1287] The server also performs virtual user simulations to verify the effectiveness of the generated multiple catchphrases and appeals. The virtual users simulate reactions based on past behavioral data and reaction data, and evaluate the effectiveness.

[1288] Effect verification and optimization

[1289] The server selects the most highly rated catchphrases and appeals based on the results of effectiveness testing, and also dynamically adjusts them according to the user's emotional state to generate optimal marketing language.

[1290] Providing results

[1291] The terminal displays the optimal catchphrases and appeals received from the server to the user, who can then use them to carry out effective marketing activities.

[1292] Specific examples

[1293] For example, if a user enters the following information:

[1294] Product Name: Innovative Thermo Mug

[1295] Target age group: 25-35

[1296] Target Gender: Female

[1297] Product Features: Stylish and highly effective insulated

[1298] Message to convey: Make every day more comfortable

[1299] No-no: Heavy

[1300] Along with this information, the emotion engine's emotion recognition results are also sent from the device to the server. The generative AI then generates a catchphrase such as "Innovative Thermo Mug - Enjoy a stylish and warm everyday life!" or a pop-up display such as "For women in their 20s and 30s, a must-see! Introducing the innovative Thermo Mug!". Because the marketing copy adapts based on the user's emotions, more personalized marketing text is generated.

[1301] The server uses a virtual user simulation to evaluate the above-mentioned catchphrase, giving it a score of 85 and the POP a score of 78. Based on these results, the optimal catchphrase and appeal are selected, and the dynamically adjusted content is sent to the terminal and displayed to the user.

[1302] Example prompt sentence:

[1303] "Product information:

[1304] Name: Innovative Thermo Mug

[1305] Features: Stylish and warm

[1306] Target audience:

[1307] Age range: 25-35

[1308] Gender: Female

[1309] What I want to convey:

[1310] Make every day more comfortable

[1311] Emotional state:

[1312] Users are relaxed

[1313] Product:

[1314] Catchphrase

[1315] POP"

[1316] These processes allow users to quickly and efficiently generate highly effective marketing copy.

[1317] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1318] Step 1:

[1319] The user inputs product information, target demographic information, the message they want to convey, and items that should not be displayed. The information entered by the user is entered into an input form on the device. Specifically, the product name, target age group, target gender, product features, the message they want to convey, and items that should not be displayed are entered. The input data is converted into a data format such as JSON.

[1320] Step 2:

[1321] The device captures the user's facial expressions and voice through the camera and microphone, and performs emotion recognition using an emotion engine. For example, the EmotionEngine library is used to analyze the user's emotional state (relaxed, stressed, etc.) in real time. This analyzed emotion data is also generated in JSON format.

[1322] Step 3:

[1323] The device sends the user's input data and the emotion recognition results from the emotion engine to the server. This data is sent via an HTTP request. The server temporarily stores the received data in a database or memory.

[1324] Step 4:

[1325] The server passes the received data to a generative AI module. The generative AI module uses natural language processing and machine learning models to generate slogans and appeals that take into account product information and the user's emotional state. For example, a generative AI model might generate the slogan "Innovative Thermo Mug - Enjoy a stylish and warm everyday life!"

[1326] Step 5:

[1327] The server runs a virtual user simulation. Based on past behavioral and reaction data, it virtually evaluates the effectiveness of the generated catchphrases and appeals. Multiple catchphrases and appeals generated during this process are stored along with their evaluation scores. For example, the catchphrase "Innovative Thermo Mug - Enjoy a stylish and warm everyday life!" is evaluated with 85 points.

[1328] Step 6:

[1329] The server analyzes the results of the effectiveness tests conducted by the virtual users and selects the slogan and appeal that received the highest evaluation. Specifically, the slogan and POP with the highest evaluation score are selected.

[1330] Step 7:

[1331] The server then sends the selected optimal slogan and appeal to the device, with dynamic adjustments being made to fine-tune the slogan and appeal to the user's emotional state.

[1332] Step 8:

[1333] The device receives the optimal slogan and appeal from the server and displays it to the user. The user can then use this information to carry out marketing activities. For example, the device might display the slogan "Innovative Thermo Mug - Enjoy a stylish and warm everyday life!" on the screen.

[1334] The above are the specific processing steps of the system that realizes the application example.

[1335] 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.

[1336] 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.

[1337] 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.

[1338] [Fourth embodiment]

[1339] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1340] 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.

[1341] 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).

[1342] 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.

[1343] 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.

[1344] 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).

[1345] 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.

[1346] 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.

[1347] 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.

[1348] 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.

[1349] 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.

[1350] 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.

[1351] 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."

[1352] The present invention is a system in which the user inputs product information, target demographic information, the message they want to convey, and any items that are not allowed, and the terminal sends this to the server, which then uses generative artificial intelligence to automatically generate catchy slogans, POPs, and appeals, verifies their effectiveness using virtual users, selects the most suitable ones, and provides them to the user again via the terminal.

[1353] Natural language explanation of program processing

[1354] User operations

[1355] The user inputs the product name, product features, target demographic information (age group, gender, etc.), the message they want to convey, and items that should not be displayed via the terminal.

[1356] Device operation

[1357] The terminal receives the input information, checks the data format, and if there are no errors, converts it into an appropriate format such as JSON and sends it to the server.

[1358] Server Operations

[1359] The server receives the data sent from the device, stores it in a database, and then passes the data to the generative artificial intelligence module.

[1360] Generative AI automatically generates catchy slogans, POP displays, and advertising materials based on input information. The generation process uses natural language processing and machine learning algorithms.

[1361] For example, a catchy slogan such as "Innovative Thermo Mug - Stylish and highly insulating for everyday life!" or a POP such as "A must-see for women in their 20s and 30s! Introducing the innovative Thermo Mug!" can be generated.

[1362] Effectiveness verification

[1363] The server runs a virtual user simulation to verify the effectiveness of multiple variations of generated catchphrases and appeals. The virtual users are constructed based on past behavioral data and similar market data, and simulate the reactions of the target demographic.

[1364] For example, the catchphrase "Innovative Thermo Mug - Stylish and highly insulating for everyday life!" was rated at 85 points, while the POP "For women in their 20s and 30s, a must-see! Introducing the innovative Thermo Mug!" was rated at 78 points.

[1365] Optimization and Selection

[1366] Based on the results of the effectiveness verification, the server selects the most highly rated catchphrases and appeals, which are then provided to the user as the optimal marketing copy.

[1367] Providing results

[1368] The terminal receives the optimal catchphrase and appeal from the server and displays it to the user, who can then carry out effective marketing activities based on it.

[1369] Specific examples

[1370] 1. The user enters the following information:

[1371] Product Name: "Innovative Thermo Mug"

[1372] Target age group: 25-35

[1373] Target Gender: "Female"

[1374] Product Features: "Stylish and highly effective at retaining heat"

[1375] Message we want to convey: "Make every day more comfortable"

[1376] No-no: "Heavy"

[1377] 2. The device receives this, formats it correctly, and sends it to the server.

[1378] 3. The server receives the data, and the generative AI generates a catchy slogan such as "Innovative Thermo Mug - Enjoy a stylish and warm everyday life!" and a POP that reads "For women in their 20s and 30s, a must-see! Introducing the innovative Thermo Mug!"

[1379] 4. The server conducts effectiveness testing using virtual users, and the catchphrase is rated 85 points and the POP is rated 78 points.

[1380] 5. The server selects the most suitable catchphrase and provides it to the user via the terminal.

[1381] 6. Users can carry out effective marketing activities using the optimal catchphrases provided.

[1382] The above is a specific embodiment for carrying out the present invention, which enables users to quickly carry out effective and efficient marketing activities.

[1383] The processing flow will be explained below.

[1384] Step 1:

[1385] The user enters product information, target demographic information, the message they want to convey, and items that should not be displayed via the terminal.

[1386] Step 2:

[1387] The terminal receives the entered information and checks the data format to see if there are any errors or omissions.

[1388] Step 3:

[1389] The device converts the confirmed information into an appropriate format, such as JSON, and sends it to the server.

[1390] Step 4:

[1391] The server receives the data sent from the terminal and temporarily stores it in a database or memory.

[1392] Step 5:

[1393] The server passes the stored data to a generative AI module, which uses natural language processing and machine learning models to automatically generate slogans, POPs, and promotional materials.

[1394] Step 6:

[1395] The server runs a virtual user simulation to verify the effectiveness of multiple variations of generated copy and appeals. The virtual users' reactions are simulated based on past behavioral data and similar market data.

[1396] Step 7:

[1397] Based on the results of the effectiveness verification, the server selects the slogan and appeal that receive the highest score.

[1398] Step 8:

[1399] The server sends the selected optimal slogan and appeal back to the terminal.

[1400] Step 9:

[1401] The device displays the most suitable catchphrase or appeal to the user.

[1402] Step 10:

[1403] Marketing activities are carried out based on catchphrases and appeals provided by users.

[1404] Example 1

[1405] 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."

[1406] Conventional marketing copy generation systems require a lot of manual work to create catchy slogans and promotional materials, which requires a lot of time and effort. Furthermore, there was a lack of a way to verify the actual effectiveness beforehand, which made the effectiveness of the generated copy unclear. Furthermore, the lack of accurate simulations using past data made it difficult to effectively market to the target demographic.

[1407] 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.

[1408] In this invention, the server includes means for automatically generating catchphrases, promotional materials, and advertising materials using generative artificial intelligence, means for verifying the effectiveness of multiple patterns using virtual users, and means for selecting optimal catchphrases, promotional materials, and advertising materials based on the results of the effectiveness verification, thereby enabling users to quickly and accurately generate effective marketing copy and verify its effectiveness in the actual market in advance.

[1409] "User" refers to an individual or organization that uses the system to enter product information, target demographic information, the message they wish to convey, and any prohibited items.

[1410] "Terminal" refers to an electronic device or equipment used by a user to input and transmit information.

[1411] "Server" refers to a central processing unit that receives and stores information sent from a terminal, and then uses generative artificial intelligence to automatically generate catchy slogans, promotional materials, and advertising materials, verifies their effectiveness, selects the most suitable ones, and provides them to the user.

[1412] "Generative AI" refers to AI technology that uses natural language processing and machine learning algorithms to automatically generate slogans, promotional materials, and advertising materials from input information.

[1413] A "catchphrase" is a short phrase that succinctly expresses the features and appeal of a product or service and appeals to the target audience.

[1414] "Promotional materials" refers to media such as advertising and promotional documents, images, and videos created to promote products and services.

[1415] "Advertising materials" refers to promotional materials such as posters, leaflets, and banner advertisements that are produced to convey information about products and services.

[1416] "Virtual users" refers to fictitious users in software that are constructed based on historical behavioral data and similar market data to simulate the reactions of target demographics.

[1417] "Effectiveness verification" refers to the process of evaluating the impact that the generated catchphrases, promotional materials, and advertising materials have on the target audience.

[1418] "Optimization" refers to the process of selecting the most highly rated slogans, promotional materials, and advertising materials based on the results of effectiveness verification.

[1419] The present invention is a system for improving the efficiency and effectiveness of product marketing activities. Specific embodiments of the system will be described below.

[1420] First, the user uses the device to input the necessary information. This information includes "product information" such as the product name and features, "target demographic information" such as the target age group and gender, the desired message, and any items that should not be displayed.

[1421] Next, the terminal checks the data format of the information entered by the user. After confirming that there are no errors at this stage, it converts the information into an appropriate format (e.g., JSON format) and sends it to the server. This process typically uses an API request.

[1422] The server receives the data sent from the device and stores it in a database. At this time, data integrity and authentication processes are also performed in parallel. The stored data becomes input to the subsequent generative AI module.

[1423] The server then uses generative artificial intelligence to automatically generate slogans, promotional materials, and advertising materials. Generative AI utilizes natural language processing and machine learning algorithms to generate optimal marketing language based on the input information. For example, it generates a slogan such as "Innovative Thermo Mug - Enjoy a stylish and warm everyday life!" or a POP display that reads, "A must-see for women in their 20s and 30s! Introducing the innovative Thermo Mug!"

[1424] After generation, the server performs effectiveness testing using virtual users. Virtual users are simulated based on past behavioral data and similar market data to evaluate the effectiveness of the generated slogans, promotional materials, and advertising materials. The results of this simulation may yield a score of 85 for the slogan and 78 for the POP, for example.

[1425] Based on the evaluation results, the server selects the most suitable catchphrases, promotional materials, and advertising materials. This process is carried out by analyzing the results of effectiveness verification.

[1426] Finally, the server sends the selected optimal marketing phrases to the terminal, which then displays them to the user, allowing the user to quickly carry out effective marketing activities based on the selected phrases displayed.

[1427] Specific examples

[1428] For example, if the user enters the following information:

[1429] Product Name: Innovative Thermo Mug

[1430] Target age group: 25-35

[1431] Target Gender: Female

[1432] Product Features: Stylish and highly effective insulated

[1433] Message to convey: Make every day more comfortable

[1434] No-no: Heavy

[1435] Based on this information, effective catchphrases, promotional materials, and advertising materials are generated through the process described above, enabling users to plan and implement marketing activities quickly and accurately.

[1436] The above is a specific embodiment for carrying out the present invention. It is expected that this system will improve the efficiency and effectiveness of marketing operations.

[1437] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1438] Step 1: User Enters Information

[1439] The user enters the product name and features, target demographic information (e.g., age group, gender), the message they want to convey, and any prohibited items into an input form on their device. This provides the basic data that the system needs to obtain the necessary information. The entered information is temporarily saved as text data on the device.

[1440] Step 2: Check the data on your device

[1441] The terminal checks the format of the data entered by the user. It verifies that there are no errors in the format or content of the input values, and if an error is detected, it prompts the user to correct it. Correctly entered data is converted into a format that can be applied to subsequent processing (e.g., JSON format). An example of input data would be in the following format:

[1442] {

[1443] "product_name": "Innovative Thermo Mug",

[1444] "target_age_group": "25-35",

[1445] "target_gender": "female",

[1446] "product_features": "Stylish and warm",

[1447] "key_message": "Make every day more comfortable",

[1448] "ng_items": ["heavy"]

[1449] }

[1450] Step 3: The device sends the data to the server

[1451] The device sends properly formatted data to the server, which communicates using API requests, and verifies that the input data was sent correctly.

[1452] Step 4: The server receives and stores the data

[1453] The server receives the data sent from the device and stores it in a database, during which data integrity and authentication processes are carried out in parallel, and the stored data is used for subsequent processing.

[1454] Step 5: The server provides the data to the generative AI

[1455] The server provides the data stored in the database to the generative AI. Based on this data, the generative AI generates catchphrases, promotional materials, and advertising materials. Data reception and provision is performed within the server via an API.

[1456] Step 6: Generative AI generates taglines, promotional materials, and advertising materials

[1457] Generative AI uses natural language processing and machine learning algorithms to automatically generate catchphrases, promotional materials, and advertising materials based on input information. For example, a catchphrase might be generated: "Innovative Thermo Mug - Stylish and highly effective insulation for everyday life!" The generated data is then sent back to the server.

[1458] Step 7: Test the server with virtual users

[1459] The server then tests the effectiveness of the generated multiple catchphrases and promotional materials on virtual users. The virtual users are simulated based on past behavioral data and similar market data, and the effectiveness of the generated phrases is predicted. This process calculates a score for each phrase.

[1460] Step 8: The server selects the best wording

[1461] The server selects the optimal catchphrase and promotional materials based on the results of the effectiveness verification. The most highly rated phrase is selected based on the evaluation scores of the virtual users. This selection data is then sent to the terminal.

[1462] Step 9: The device displays the most appropriate text to the user.

[1463] The terminal receives the optimal catchphrases and promotional materials sent from the server and displays them to the user, who can then check the displayed text and carry out effective marketing activities based on it.

[1464] These are the specific processing steps of the program for this system. Through this process, users can automatically generate effective marketing copy and use it quickly and accurately.

[1465] (Application example 1)

[1466] 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."

[1467] In advertising campaigns, it is extremely important to generate effective slogans and appeals in a short amount of time and to confirm their effectiveness on the target audience in advance. However, conventional methods rely heavily on human creativity, which is time-consuming and costly, and it is difficult to guarantee effectiveness. In particular, the effectiveness of generated advertising copy cannot be fully verified because the vast amount of past behavioral data and similar market data is not fully utilized. The purpose of this invention is to solve these problems and realize effective and efficient generation and verification of advertising copy.

[1468] 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.

[1469] In this invention, the server includes a means for inputting data into the generative artificial intelligence using prompt sentences, a means for utilizing past behavioral data and similar market data through virtual user simulation, and a means for calculating the effectiveness score of the generated catchphrases and POPs. This makes it possible to automatically generate multiple catchphrases and appeals based on product information and target demographic information entered by the user, and verify their effectiveness through virtual user simulation, thereby easily and quickly selecting the optimal advertising wording.

[1470] "User" refers to the person who inputs product information, target demographic information, desired message, and prohibited items into the system.

[1471] "Product information" refers to information regarding the product name, features, use, etc. that is entered into the system.

[1472] "Target demographic information" refers to information such as age group, gender, interests, etc. that is set as the target of advertising.

[1473] "The message you want to convey" refers to the main message used to communicate the value of a product or service through advertising or catchphrases.

[1474] "NG items" refer to words and expressions that should be avoided when creating advertising copy or catchy slogans.

[1475] "Terminal" refers to a device that transmits information entered by a user to a server. Examples include smartphones, tablets, and personal computers.

[1476] "Server" refers to a computer system that receives data entered by users and uses generative artificial intelligence to generate slogans and appeals and verify their effectiveness.

[1477] "Generative artificial intelligence" refers to technology that automatically generates catchy slogans, POPs, and appealing materials using natural language processing and machine learning models.

[1478] A "catchphrase" is a short, catchy sentence generated by generative artificial intelligence and used in advertisements and appeals.

[1479] "POP" refers to promotional materials used in advertising, product displays, etc. For example, it includes posters and signs used in stores.

[1480] "Appeals" refers to advertising media and texts used to communicate the characteristics and appeal of a product to consumers.

[1481] "Virtual User" refers to a fictitious user constructed based on historical behavioral data and similar market data and used for the purpose of simulating the effectiveness of generated advertising copy.

[1482] "Effectiveness verification" refers to the process of evaluating the effectiveness of generated catchphrases and appeals using virtual users.

[1483] A "prompt sentence" refers to an introductory or instruction sentence used when inputting data into a generative artificial intelligence.

[1484] The "effectiveness score" refers to an evaluation value that indicates how effective the generated catchphrase or POP is for the virtual user.

[1485] This invention is a system in which the user inputs product information, target demographic information, the message they want to convey, and any items they don't want, and the terminal sends this to a server, which then uses generative artificial intelligence to automatically generate catch phrases, POPs, and appeals, and selects the most suitable advertising message.

[1486] System Configuration

[1487] This system includes a terminal used by the user, a server that processes data, and generative artificial intelligence. The terminals are common devices such as smartphones, tablets, and PCs, and the server is a cloud server or a server in a data center.

[1488] Processing flow

[1489] The server receives product information, target demographic information, desired message, and prohibited items entered by the user through their device and stores them in a database. It then uses generative AI to generate slogans and POPs, and tests their effectiveness using virtual users. Based on the results of the effectiveness test, it selects the optimal slogan and POP and returns them to the user.

[1490] Technology used

[1491] Generative AI uses natural language processing and machine learning models to generate catchy slogans, POPs, and promotional materials. Specific AI modules include language models such as GPT-3. These language models perform the generation process by inputting prompt sentences.

[1492] Specific examples

[1493] For example, if a user enters the following information:

[1494] Product Name: "Innovative Thermo Mug"

[1495] Target age group: 25-35

[1496] Target Gender: "Female"

[1497] Product Features: "Stylish and highly effective at retaining heat"

[1498] Message we want to convey: "Make every day more comfortable"

[1499] No-no: "Heavy"

[1500] The server receives this information and inputs the following prompt into the generative artificial intelligence:

[1501] Product Name: Innovative Thermo Mug

[1502] Target: Women aged 25-35

[1503] Product Features: Stylish and highly effective insulated

[1504] Message to convey: Make every day more comfortable

[1505] No-no: Heavy

[1506] Generation: Catchphrases and POP

[1507] Based on the above prompt, the generative artificial intelligence generates a catchphrase such as "Innovative Thermo Mug - Enjoy a stylish and warm everyday life!" and a POP that reads, "For women aged 25-35, a must-see! Introducing the innovative Thermo Mug!"

[1508] The server then verifies the effectiveness of the generated advertising copy through virtual user simulation, and for example, the tagline is rated at 85 points and the POP at 78 points. The optimal tagline and POP are then selected and provided to the user.

[1509] This invention enables users to effectively and efficiently generate and verify advertising copy, enabling them to quickly carry out optimal marketing activities.

[1510] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1511] Step 1:

[1512] The user enters product information, target demographic information, the message they want to convey, and any items that should not be included into the terminal.

[1513] Input: Product name, target demographic information (age group, gender, etc.), product features, desired message, prohibited items

[1514] Output: Receiving user input data at the terminal

[1515] Specific operation: The user enters the necessary information into the device's input form, which the device saves as internal data.

[1516] Step 2:

[1517] The terminal converts the input information into JSON format and sends it to the server.

[1518] Input: Information entered by the user (product name, target demographic information, product features, desired message, prohibited items)

[1519] Output: JSON format data, sent to server

[1520] Specific operation: The terminal checks the data entered by the user, converts it into JSON format, and then sends the data to the server via internet communication.

[1521] Step 3:

[1522] The server receives the transmitted information and stores it in a database.

[1523] Input: JSON format data

[1524] Output: User-entered data stored in a database

[1525] Specific operation: The server parses the received JSON data and stores it in the database.

[1526] Step 4:

[1527] The server generates a prompt sentence in the generative artificial intelligence module, passes the data, and generates a catchphrase, POP, and appealing materials.

[1528] Input: User-entered data stored in a database

[1529] Output: Generated taglines, POPs, and appeals

[1530] What happens: The server retrieves the necessary information from the database and generates the following prompt:

[1531] Product Name: Innovative Thermo Mug

[1532] Target: Women aged 25-35

[1533] Product Features: Stylish and highly effective insulated

[1534] Message to convey: Make every day more comfortable

[1535] No-no: Heavy

[1536] Generation: Catchphrases and POP

[1537] This prompt text is input into a generative artificial intelligence (such as GPT-3) to generate a catchy slogan or POP.

[1538] Step 5:

[1539] The server uses virtual users to verify the effectiveness of the generated catchphrases and POPs.

[1540] Input: Generated tagline, POP, historical behavior data, similar market data

[1541] Output: Calculated effectiveness score

[1542] Specific operation: The virtual user simulation module simulates the effectiveness of the generated catchphrases and POPs based on past behavioral data and similar market data. It calculates an effectiveness score and saves the results on the server.

[1543] Step 6:

[1544] The server selects the most suitable catchphrase, POP, and appeal based on the results of the effectiveness verification.

[1545] Input: Calculated effectiveness score

[1546] Output: Optimal copy, POP, and appeal materials

[1547] Specific operation: The server compares the effectiveness scores of multiple catchphrases and POPs and selects the one with the highest score.

[1548] Step 7:

[1549] The terminal displays the selected optimum catchphrase, POP, and appeal to the user.

[1550] Input: Optimal tagline, POP, and appeal

[1551] Output: Copy, POP, and promotional materials displayed on the terminal

[1552] Specific operation: The server sends the selected optimal slogan and POP to the terminal, which displays them to the user. The user can then review them and use them in their marketing activities.

[1553] 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.

[1554] The present invention combines an emotion engine with a system in which the user inputs product information, target demographic information, the message they want to convey, and any items that are not allowed, and the terminal sends this to a server, which then uses generative artificial intelligence to automatically generate catchy slogans, POPs, and appeals, and after verifying their effectiveness with virtual users, selects the most suitable ones and provides them to the user again via the terminal.

[1555] Natural language explanation of program processing

[1556] User operations

[1557] The user inputs the product name, product features, target demographic information (age group, gender, etc.), the words they want to convey, and any items they do not want to convey via the terminal. At this time, the user's facial expressions and voice are analyzed by the emotion engine.

[1558] Device operation

[1559] The device receives user input and simultaneously receives emotion recognition results from the emotion engine. Once the emotion recognition results are obtained, they are added to the input data and sent to the server.

[1560] Server Operations

[1561] The server receives the data sent from the device and temporarily stores it in a database or memory. It then passes the data to a generative AI module for processing, including the emotion recognition results.

[1562] The generative AI module uses natural language processing and machine learning models to automatically generate catchphrases, POP displays, and promotional materials based on product information and user emotions. By incorporating the results of emotion recognition, marketing language appropriate to the user's current emotional state is generated.

[1563] For example, when a user generates a catchphrase such as "Innovative Thermo Mug - Enjoy a stylish and warm everyday life!" or a POP such as "A must-see for women in their 20s and 30s! Introducing the innovative Thermo Mug!", the system makes adjustments based on the analysis results of the emotion engine.

[1564] Emotion-Based Adjustments

[1565] Based on the emotion recognition results, the server generates a message that encourages the user to adjust their emotional state. For example, if the user is feeling stressed, the server may suggest inputting in a relaxed state.

[1566] Effectiveness verification

[1567] The server runs a virtual user simulation to verify the effectiveness of multiple variations of generated catchphrases and appeals. The virtual users' reactions are simulated based on past behavioral data and similar market data.

[1568] For example, the catchphrase "Innovative Thermo Mug - Stylish and highly insulating for everyday life!" was rated at 85 points, while the POP "For women in their 20s and 30s, a must-see! Introducing the innovative Thermo Mug!" was rated at 78 points.

[1569] Optimization and Selection

[1570] The server selects the most highly rated catchphrases and appeals based on the results of the effectiveness verification, and dynamically regenerates them to respond to changes in user emotions.

[1571] Providing results

[1572] The terminal receives the optimal catchphrase and appeal from the server and displays it to the user, who can then carry out effective marketing activities based on it.

[1573] Specific examples

[1574] 1. The user enters the following information:

[1575] Product Name: "Innovative Thermo Mug"

[1576] Target age group: 25-35

[1577] Target Gender: "Female"

[1578] Product Features: "Stylish and highly effective at retaining heat"

[1579] Message we want to convey: "Make every day more comfortable"

[1580] No-no: "Heavy"

[1581] 2. The device uses an emotion engine to analyze the user's facial expressions and voice, and obtains emotion recognition results. At the same time, the input information is converted to JSON format and sent to the server along with the emotion recognition results.

[1582] 3. The server receives the data, and the generative AI generates a POP display such as a catchphrase "Innovative Thermo Mug - Stylish and highly effective for everyday use!" or "A must-see for women in their 20s and 30s! Introducing the innovative Thermo Mug!" The display adapts based on the user's emotions.

[1583] 4. The server conducts effectiveness testing using virtual users, and the catchphrase is rated 85 points and the POP is rated 78 points.

[1584] 5. The server selects the most appropriate catchphrase and provides dynamically adjusted appeals according to the user's emotional state.

[1585] 6. The device displays the most suitable slogan and appeal to the user, who then uses this information to carry out marketing activities.

[1586] The above is a specific embodiment for implementing the present invention in combination with an emotion engine, which enables users to quickly obtain appeals that are expected to be highly effective, effective, and efficient.

[1587] The processing flow will be explained below.

[1588] MODE FOR CARRYING OUT THE INVENTION (PROCESS FLOW)

[1589] Step 1:

[1590] Users input product information, target demographic information, the message they want to convey, and any items they don't want to include via a terminal. As they input information, the terminal uses a camera and microphone to capture the user's facial expressions and voice in real time.

[1591] Step 2:

[1592] The device sends the facial expression and voice data it acquires along with the input information to the emotion engine, which then uses facial expression recognition and voice analysis technologies to analyze the user's emotions and generate emotion recognition results.

[1593] Step 3:

[1594] The device converts the user's input information and emotion recognition results into JSON format and sends this data to the server.

[1595] Step 4:

[1596] The server receives the data sent from the device and temporarily stores it in a database or memory. The data includes product information, target demographic information, desired message, NG items, and emotion recognition results.

[1597] Step 5:

[1598] The server passes the stored data to a generative AI module, which uses natural language processing and machine learning models to automatically generate catchphrases, POP displays, and promotional materials based on product information and user sentiment.

[1599] Step 6:

[1600] The server adjusts the emotional compatibility of the generated slogan and POP to the user based on the emotion recognition results. For example, if the user is expressing positive emotions, it uses stronger expressions, and if the user is expressing negative emotions, it uses calmer expressions.

[1601] Step 7:

[1602] The server then runs the generated slogans and POPs through a virtual user simulation to verify their effectiveness. The virtual user simulation simulates reactions to different slogans and POPs based on past behavioral data and market data.

[1603] Step 8:

[1604] The server selects the slogan and appeal that received the highest score based on the results of the effectiveness verification, and also makes final adjustments based on user emotions.

[1605] Step 9:

[1606] The device receives the optimal slogan and appeal selected from the server and displays it to the user. During display, it monitors the user's emotions and provides an adjusted version in real time as needed.

[1607] Step 10:

[1608] Marketing activities are carried out based on the catchphrases and appeals provided by users. For example, they can be used in point-of-purchase displays in physical stores, printed on book jackets, or used in web advertisements.

[1609] Specific examples

[1610] The user enters the following information:

[1611] Product Name: "Innovative Thermo Mug"

[1612] Target age group: 25-35

[1613] Target Gender: "Female"

[1614] Product Features: "Stylish and highly effective at retaining heat"

[1615] Message we want to convey: "Make every day more comfortable"

[1616] No-no: "Heavy"

[1617] At the same time, the device camera detects the user's smile and the microphone analyzes the upbeat tone of the voice, and the emotion engine recognizes that the user is expressing positive emotions.

[1618] The device sends the input information and emotion recognition results to the server in JSON format.

[1619] The server receives the information and passes it to the generative AI module. The AI ​​generates POPs such as catchphrases like "Innovative Thermo Mug - Enjoy a stylish and warm everyday life!" and "A must-see for women in their 20s and 30s! Introducing the innovative Thermo Mug!". The emphasis is on positive emotions.

[1620] The server runs a virtual user simulation and scores the slogan 85 points and the POP 78 points.

[1621] The device displays the most suitable catchphrase to the user, who can then use it for point-of-purchase ads in physical stores or web advertisements.

[1622] In this way, a system is provided that can quickly generate effective catchphrases and appeals that take into account the user's emotions and can be used in marketing activities.

[1623] Example 2

[1624] 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."

[1625] In modern marketing, rapid and effective generation and verification of effectiveness of appeals and catchphrases is required to maximize their impact on target audiences. However, many systems have difficulty generating marketing copy that takes user emotions into account or conducting detailed effectiveness verification using virtual users. For this reason, a system is needed that can automatically generate marketing copy that takes user emotions into account and verify its effectiveness with high accuracy.

[1626] 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.

[1627] In this invention, the server includes means for automatically generating catchphrases, POPs, and appeals using generative artificial intelligence based on information sent from the terminal and emotion recognition results, means for setting virtual users, generating multiple patterns, and verifying effectiveness, and means for selecting optimal catchphrases, POPs, and appeals based on the results of the effectiveness verification. This makes it possible to automatically generate marketing language that takes user emotions into consideration, and to verify its effectiveness with high accuracy.

[1628] "Product Information" means the features, name, specifications, and other details relating to a particular product.

[1629] "Target demographic information" refers to information about the target customer base for a particular product or service, and typically includes demographic data such as age, gender, and preferences.

[1630] "Words to be conveyed" refers to the message or catchphrase that a user wants to convey about a particular product or service.

[1631] "NG items" refer to words and expressions that must not be used in marketing copy.

[1632] "Emotion recognition result" refers to information about the emotional state obtained by the emotion engine by analyzing the user's facial expressions and voice.

[1633] A "terminal" is an electronic device used by a user to input or receive information, and includes smartphones, tablets, personal computers, etc.

[1634] "Server" refers to the central system that manages the receipt, storage, analysis of data, and generated results.

[1635] "Generative artificial intelligence" refers to technology that uses natural language processing and machine learning models to automatically generate catchy slogans, POPs, and appealing materials.

[1636] A "catchphrase" is a short phrase that succinctly conveys the appeal of a product or service.

[1637] "POP" stands for point of purchase, a visual display used to promote a product or service.

[1638] "Appeal" refers to advertising or promotional materials promoting a particular product or service.

[1639] "Virtual user" refers to a virtual user model that simulates the reactions of an actual user based on past behavioral and reaction data.

[1640] "Effectiveness verification" refers to the process of evaluating how effective the generated slogans and appeals are with the target audience.

[1641] The present invention is a system in which the user inputs product information, target demographic information, the message they want to convey, and any items that are not allowed, and the terminal sends this to the server, which then uses generative artificial intelligence to automatically generate catchy slogans, POPs, and appeals, verifies their effectiveness using virtual users, selects the most suitable ones, and provides them to the user again via the terminal.

[1642] Hardware and software used

[1643] Device: Refers to an electronic device such as a smartphone, tablet, or PC. The device receives user input and uses an emotion engine to analyze the user's facial expressions and voice.

[1644] Server: A central system that manages the reception, storage, analysis, and generation of data. The server is equipped with a generative artificial intelligence module that generates text using natural language processing and machine learning models.

[1645] Generative AI: A system that combines natural language processing and machine learning models and is used to automatically generate marketing copy.

[1646] Emotion engine: Software that analyzes the user's facial expressions and voice and provides emotion recognition results.

[1647] Program processing

[1648] User operations

[1649] The user inputs the product name, product features, target demographic information (age group, gender, etc.), the message they want to convey, and any items they don't want to convey via their device. At this time, the emotion engine analyzes the user's facial expressions and voice to obtain emotion recognition results.

[1650] Device operation

[1651] The device receives the user's input and simultaneously obtains the emotion recognition results from the emotion engine, adds them to the input data, and sends them to the server. Specifically, it converts the following prompt text into JSON format and sends it:

[1652] Product Name: "Innovative Thermo Mug"

[1653] Product Features: "Stylish and highly effective at retaining heat"

[1654] Target demographic: "Women aged 25-35"

[1655] Message we want to convey: "Make every day more comfortable"

[1656] No-no: "Heavy"

[1657] Emotion recognition result: "Positive"

[1658] Server Operations

[1659] The server receives the data sent from the device and temporarily stores it in a database or memory. It then passes the data to the generative AI module, which begins processing it, including the emotion recognition results.

[1660] The generative AI module uses natural language processing and machine learning models to automatically generate catchphrases, POP displays, and promotional materials based on product information and user emotions. By incorporating the emotion recognition results, marketing language appropriate to the user's current emotional state is generated. For example, when generating a catchphrase such as "Innovative Thermo Mug - Enjoy a stylish and warm everyday life!" or a POP display such as "Innovative Thermo Mug for women in their 20s and 30s! A must-see!", adjustments are made based on the analysis results of the emotion engine.

[1661] Effectiveness verification

[1662] The server runs a virtual user simulation to verify the effectiveness of multiple generated catchphrases and appeals. The virtual users' reactions are simulated based on past behavioral data and similar market data. For example, the catchphrase "Innovative Thermo Mug - Enjoy a stylish and warm everyday life!" is rated at 85 points, while the POP "A must-see for women in their 20s and 30s! Introducing the innovative Thermo Mug!" is rated at 78 points.

[1663] Optimization and Selection

[1664] The server selects the most highly rated catchphrases and appeals based on the results of the effectiveness verification. It also has the function of dynamically regenerating catchphrases and appeals according to the user's emotional state.

[1665] Providing results

[1666] The terminal displays the optimal catchphrase and appeal received from the server to the user, who can then carry out marketing activities based on the provided information.

[1667] The above is a specific embodiment for implementing the present invention in combination with an emotion engine, which enables users to quickly obtain appeals that are expected to be highly effective, effective, and efficient.

[1668] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1669] Step 1:

[1670] The user inputs product information, product features, target demographic information (age group, gender, etc.), desired message, and prohibited items into the terminal. For example, the product name is "Innovative Thermo Mug," the product features are "Stylish and highly effective at retaining heat," the target demographic is "Women aged 25-35," the desired message is "Makes everyday life more comfortable," and the prohibited items are "Heavy." The emotion engine then analyzes the user's facial expressions and voice to obtain emotion recognition results. The input data consists of information from the user and the emotion recognition results (positive).

[1671] Step 2:

[1672] The device converts the user's input information and emotion recognition results into JSON format and sends it to the server. The input data is the user information and emotion recognition results obtained in step 1, and the following JSON data is generated as output:

[1673] json

[1674] {

[1675] "Product name": "Innovative Thermo Mug",

[1676] "Product Features": "Stylish and highly effective at keeping you warm",

[1677] "Target demographic": "Women aged 25-35",

[1678] "Message": "Make every day more comfortable",

[1679] "NG item": "heavy",

[1680] "Emotion Recognition Result": "Positive"

[1681] }

[1682] This is sent to the server.

[1683] Step 3:

[1684] The server receives the JSON data sent from the terminal and temporarily stores it in a database or memory. The input data is the JSON data sent in step 2, and is temporarily stored inside the server. Specifically, it is stored in a database using, for example, an SQL command:

[1685] sql

[1686] INSERT INTO product information (product name, product features, target demographic, desired message, NG items, emotion recognition results)

[1687] VALUES ("Innovative Thermo Mug", "Stylish and keeps you warm", "Women 25-35", "Makes everyday life more comfortable", "Heavy", "Positive");

[1688] Step 4:

[1689] The server passes the stored data to a generative AI module and begins analysis. The input data is product information stored in the database and emotion recognition results, and the generative AI module generates a catchphrase, POP, and appealing material. For example, the following text is output using a natural language processing algorithm:

[1690] Tagline: "Innovative Thermo Mug - Stylish and warm for everyday use!"

[1691] POP: "A must-see for women in their 20s and 30s! Introducing the revolutionary Thermo Mug!"

[1692] Step 5:

[1693] The server then runs a virtual user simulation of the generated slogans and POPs to verify their effectiveness. The input data is the marketing statements generated in step 4, and the simulation algorithm calculates an evaluation score based on past behavioral data and similar market data. For example, the following results can be obtained:

[1694] Catchphrase: 85 points

[1695] POP: 78 points

[1696] Step 6:

[1697] The server selects the most highly rated catchphrase and appeal based on the results of the effectiveness verification. It also regenerates them as needed based on the user's emotional state. The input data are the evaluation results obtained in step 5, and the optimal catchphrase and appeal are selected as the output.

[1698] Step 7:

[1699] The terminal displays the optimal catchphrase and appeal received from the server to the user. The input data is the optimal catchphrase and appeal selected in step 6, and is visually displayed to the user. The user can then carry out marketing activities based on this.

[1700] The above are the specific processing steps of the program in this system, which enables users to quickly obtain effective and efficient marketing copy.

[1701] (Application example 2)

[1702] 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."

[1703] In conventional marketing activities, creating effective slogans and appeals requires specialized knowledge and experience, and requires a great deal of time and effort. Furthermore, since there was no means of generating effective advertisements that incorporated users' emotions and reactions in real time, it was difficult to quickly provide advertisements optimized for individual users. The present invention aims to solve these problems by providing a system that automatically generates effective slogans and appeals based on user input information and emotional data, and provides the optimal ones after verifying their effectiveness with virtual users.

[1704] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1705] In this invention, the server includes means for a user to input product information, target demographic information, desired message, and NG items, means for a terminal to transmit the input information and emotion recognition results by an emotion engine to the server, means for the server to automatically generate a catchy slogan, POP, and appeal using generative artificial intelligence based on the transmitted information and emotion recognition results, means for the server to set up a virtual user, generate multiple patterns, and verify effectiveness, means for the server to select optimal catchy slogans, POP, and appeals based on the results of the effectiveness verification, and means for the terminal to display the selected optimal catchy slogans, POP, and appeals to the user. This makes it possible to quickly and effectively provide optimal catchy slogans and appeals that correspond to the user's emotions.

[1706] "User" refers to the person who enters product information, target demographic information, the message they want to convey, and any prohibited items.

[1707] "Terminal" refers to a device that acquires information entered by a user and emotion recognition results and transmits them to a server.

[1708] An "emotion engine" refers to a system that analyzes emotions from a user's facial expressions and voice.

[1709] "Server" refers to a central computing device that receives information sent from terminals, automatically generates slogans and appeals using generative artificial intelligence, and verifies the effectiveness using virtual users.

[1710] "Generative AI" refers to technology that uses natural language processing and machine learning models to generate catchy slogans and appealing statements based on input information.

[1711] A "catchphrase" is a phrase that succinctly and attractively expresses the features and appeal of a product.

[1712] "POP" refers to advertising panels and posters used to effectively promote products in stores.

[1713] "Appeals" refers to all advertising materials aimed at promoting the sale of a product.

[1714] A "virtual user" refers to a fictitious consumer set up in a simulation, and is an entity that verifies effectiveness based on past behavioral and reaction data.

[1715] "Effectiveness verification" refers to the process of testing how effective the generated slogans and appeals actually are.

[1716] "Optimization" refers to the process of selecting the most effective slogan or appeal from multiple options.

[1717] "Display" refers to the act of showing the selected optimal catchphrase or appeal to the user.

[1718] This invention is a system in which users input product information, target demographic information, the words they want to convey, and items they don't want to convey, and by combining an emotion engine and generative artificial intelligence, it automatically generates optimal catchphrases and appeals, and provides them after verifying their effectiveness with virtual users.

[1719] System configuration

[1720] User operations

[1721] The user inputs the product name, product features, target demographic information (e.g., age group, gender), the message they want to convey, and any items they don't want to convey via their device. At the same time, the emotion engine simultaneously analyzes the user's facial expressions and voice. The emotion engine analyzes the user's emotional state in real time and generates emotion recognition results along with the input data.

[1722] Device operation

[1723] The device receives user input and emotion recognition results and sends them to the server, including data from the emotion engine, such as analyzing the user's emotions from facial expressions and voice using the EmotionEngine library.

[1724] Server Operations

[1725] The server receives the data sent from the device and temporarily stores it. It then passes the data to a generative AI module, which processes it, including the emotion recognition results. The generative AI module uses natural language processing and machine learning models to automatically generate slogans and appeals based on product information and the user's emotions. This generates marketing language that is appropriate for the user's current emotional state.

[1726] The server also performs virtual user simulations to verify the effectiveness of the generated multiple catchphrases and appeals. The virtual users simulate reactions based on past behavioral data and reaction data, and evaluate the effectiveness.

[1727] Effect verification and optimization

[1728] The server selects the most highly rated catchphrases and appeals based on the results of effectiveness testing, and also dynamically adjusts them according to the user's emotional state to generate optimal marketing language.

[1729] Providing results

[1730] The terminal displays the optimal catchphrases and appeals received from the server to the user, who can then use them to carry out effective marketing activities.

[1731] Specific examples

[1732] For example, if a user enters the following information:

[1733] Product Name: Innovative Thermo Mug

[1734] Target age group: 25-35

[1735] Target Gender: Female

[1736] Product Features: Stylish and highly effective insulated

[1737] Message to convey: Make every day more comfortable

[1738] No-no: Heavy

[1739] Along with this information, the emotion engine's emotion recognition results are also sent from the device to the server. The generative AI then generates a catchphrase such as "Innovative Thermo Mug - Enjoy a stylish and warm everyday life!" or a pop-up display such as "For women in their 20s and 30s, a must-see! Introducing the innovative Thermo Mug!". Because the marketing copy adapts based on the user's emotions, more personalized marketing text is generated.

[1740] The server uses a virtual user simulation to evaluate the above-mentioned catchphrase, giving it a score of 85 and the POP a score of 78. Based on these results, the optimal catchphrase and appeal are selected, and the dynamically adjusted content is sent to the terminal and displayed to the user.

[1741] Example prompt sentence:

[1742] "Product information:

[1743] Name: Innovative Thermo Mug

[1744] Features: Stylish and warm

[1745] Target audience:

[1746] Age range: 25-35

[1747] Gender: Female

[1748] What I want to convey:

[1749] Make every day more comfortable

[1750] Emotional state:

[1751] Users are relaxed

[1752] Product:

[1753] Catchphrase

[1754] POP"

[1755] These processes allow users to quickly and efficiently generate highly effective marketing copy.

[1756] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1757] Step 1:

[1758] The user inputs product information, target demographic information, the message they want to convey, and items that should not be displayed. The information entered by the user is entered into an input form on the device. Specifically, the product name, target age group, target gender, product features, the message they want to convey, and items that should not be displayed are entered. The input data is converted into a data format such as JSON.

[1759] Step 2:

[1760] The device captures the user's facial expressions and voice through the camera and microphone, and performs emotion recognition using an emotion engine. For example, the EmotionEngine library is used to analyze the user's emotional state (relaxed, stressed, etc.) in real time. This analyzed emotion data is also generated in JSON format.

[1761] Step 3:

[1762] The device sends the user's input data and the emotion recognition results from the emotion engine to the server. This data is sent via an HTTP request. The server temporarily stores the received data in a database or memory.

[1763] Step 4:

[1764] The server passes the received data to a generative AI module. The generative AI module uses natural language processing and machine learning models to generate slogans and appeals that take into account product information and the user's emotional state. For example, a generative AI model might generate the slogan "Innovative Thermo Mug - Enjoy a stylish and warm everyday life!"

[1765] Step 5:

[1766] The server runs a virtual user simulation. Based on past behavioral and reaction data, it virtually evaluates the effectiveness of the generated catchphrases and appeals. Multiple catchphrases and appeals generated during this process are stored along with their evaluation scores. For example, the catchphrase "Innovative Thermo Mug - Enjoy a stylish and warm everyday life!" is evaluated with 85 points.

[1767] Step 6:

[1768] The server analyzes the results of the effectiveness tests conducted by the virtual users and selects the slogan and appeal that received the highest evaluation. Specifically, the slogan and POP with the highest evaluation score are selected.

[1769] Step 7:

[1770] The server then sends the selected optimal slogan and appeal to the device, with dynamic adjustments being made to fine-tune the slogan and appeal to the user's emotional state.

[1771] Step 8:

[1772] The device receives the optimal slogan and appeal from the server and displays it to the user. The user can then use this information to carry out marketing activities. For example, the device might display the slogan "Innovative Thermo Mug - Enjoy a stylish and warm everyday life!" on the screen.

[1773] The above are the specific processing steps of the system that realizes the application example.

[1774] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[1775] 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.

[1776] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1777] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1778] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1779] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[1780] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[1781] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1782] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[1783] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[1784] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1785] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1786] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[1787] Alternatively, the specific processing program 56 may be stored in a storage device such as a server connected to the data processing device 12 via the network 54, and the specific processing program 56 may be downloaded and installed on the computer 22 in response to a request from the data processing device 12.

[1788] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[1789] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1790] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific processing may be a single processor.

[1791] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[1792] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[1793] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[1794] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[1795] The following is further disclosed regarding the above embodiment.

[1796] (Claim 1)

[1797] A way for users to input product information, target demographic information, the message they want to convey, and prohibited items.

[1798] means for transmitting the input information to a server in the terminal;

[1799] A server automatically generates a catchphrase, a POP, and an appealing material using generative artificial intelligence based on the transmitted information;

[1800] A means for the server to set up virtual users, generate multiple patterns, and verify the effectiveness;

[1801] A means for the server to select the most suitable catchphrase, POP, and appeal based on the results of the effectiveness verification;

[1802] The system includes a terminal that includes a means for displaying the selected optimal catchphrase, POP, and appeal to the user.

[1803] (Claim 2)

[1804] The system of claim 1, characterized in that the generative artificial intelligence generates catchy slogans, POPs, and appealing materials using natural language processing and machine learning models.

[1805] (Claim 3)

[1806] 2. The system according to claim 1, wherein the virtual user performs effectiveness verification using past behavioral data and reaction data.

[1807] "Example 1"

[1808] (Claim 1)

[1809] A way for users to input product information, target demographic information, the message they want to convey, and prohibited items.

[1810] means for transmitting the input information to a server in the terminal;

[1811] A server automatically generates catchphrases, promotional materials, and advertising materials using generative artificial intelligence based on the transmitted information;

[1812] A means for the server to perform effect verification of multiple patterns using virtual users;

[1813] A means for the server to select optimal catchphrases, promotional materials, and advertising materials based on the results of the effectiveness verification;

[1814] a means for displaying the selected optimal catchphrase, promotional material, and advertising material to the user in the terminal;

[1815] A means for a generative artificial intelligence to generate catchphrases and promotional materials using natural language processing and machine learning algorithms;

[1816] and a means for virtual users to verify effectiveness using past behavioral data and similar market data.

[1817] (Claim 2)

[1818] The system of claim 1, characterized in that the generative artificial intelligence generates catchphrases, promotional materials, and advertising materials using natural language processing and machine learning models.

[1819] (Claim 3)

[1820] 2. The system according to claim 1, wherein the virtual user performs effectiveness verification using past behavioral data and market data.

[1821] "Application Example 1"

[1822] (Claim 1)

[1823] A way for users to input product information, target demographic information, the message they want to convey, and prohibited items.

[1824] means for transmitting the input information to a server in the terminal;

[1825] A server automatically generates a catchphrase, a POP, and an appealing material using generative artificial intelligence based on the transmitted information;

[1826] A means for the server to set up virtual users, generate multiple patterns, and verify the effectiveness;

[1827] A means for the server to select the most suitable catchphrase, POP, and appeal based on the results of the effectiveness verification;

[1828] a means for displaying the selected optimal catchphrase, POP, and appeal to a user in a terminal;

[1829] a means for inputting data into the generative artificial intelligence using prompt sentences;

[1830] A means to utilize historical behavioral data and similar market data through virtual user simulation;

[1831] A system that includes a means for calculating the effectiveness score of generated catchphrases and POPs.

[1832] (Claim 2)

[1833] The system of claim 1, characterized in that the generative artificial intelligence generates catchy slogans, POPs, and appealing materials using natural language processing and machine learning models.

[1834] (Claim 3)

[1835] 2. The system according to claim 1, wherein the virtual user performs effectiveness verification using past behavioral data and reaction data.

[1836] "Example 2: Combining Emotion Engines"

[1837] (Claim 1)

[1838] A way for users to input product information, target demographic information, the message they want to convey, and prohibited items.

[1839] a means for transmitting the input information and emotion recognition results to a server in the terminal;

[1840] A server automatically generates a catchphrase, a POP, and an appealing material using generative artificial intelligence based on the transmitted information and the emotion recognition result;

[1841] A means for the server to set up virtual users, generate multiple patterns, and verify the effectiveness;

[1842] A means for the server to select the most suitable catchphrase, POP, and appeal based on the results of the effectiveness verification;

[1843] The system includes a terminal that includes a means for displaying the selected optimal catchphrase, POP, and appeal to the user.

[1844] (Claim 2)

[1845] The system of claim 1, characterized in that the generative artificial intelligence generates catchy slogans, POPs, and appealing materials using natural language processing and machine learning models.

[1846] (Claim 3)

[1847] 2. The system according to claim 1, wherein the virtual user performs effectiveness verification using past behavioral data and reaction data.

[1848] "Application example 2 when combining emotion engines"

[1849] (Claim 1)

[1850] A way for users to input product information, target demographic information, the message they want to convey, and prohibited items.

[1851] a means for transmitting the input information and the emotion recognition result by the emotion engine to a server;

[1852] A server automatically generates a catchphrase, a POP, and an appealing material using generative artificial intelligence based on the transmitted information and the emotion recognition result;

[1853] A means for the server to set up virtual users, generate multiple patterns, and verify the effectiveness;

[1854] A means for the server to select the most suitable catchphrase, POP, and appeal based on the results of the effectiveness verification;

[1855] The system includes a terminal that includes a means for displaying the selected optimal catchphrase, POP, and appeal to the user.

[1856] (Claim 2)

[1857] The system of claim 1, characterized in that the generative artificial intelligence generates catchy slogans, POPs, and appealing materials using natural language processing and machine learning models.

[1858] (Claim 3)

[1859] 2. The system according to claim 1, wherein the virtual user performs effectiveness verification using past behavioral data and reaction data. [Explanation of symbols]

[1860] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. A way for users to input product information, target demographic information, the message they want to convey, and prohibited items. means for transmitting the input information to a server in the terminal; A server automatically generates a catchphrase, a POP, and an appealing material using generative artificial intelligence based on the transmitted information; A means for the server to set up virtual users, generate multiple patterns, and verify the effectiveness; A means for the server to select the most suitable catchphrase, POP, and appeal based on the results of the effectiveness verification; The system includes a terminal that includes a means for displaying the selected optimal catchphrase, POP, and appeal to the user.

2. 2. The system of claim 1, wherein the generative artificial intelligence generates catchy slogans, POPs, and appealing materials using natural language processing and machine learning models.

3. 2. The system according to claim 1, wherein the virtual user performs effectiveness verification using past behavioral data and reaction data.

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