System

Abstract

A system is provided.SOLUTION: A system comprising: means for receiving an idea input by a user; means for generating characters based on the idea; means for conducting a discussion between the characters from various viewpoints; means for allowing the user to add an opinion or a question to the discussion in real time; and means for generating a conclusion based on the discussion and presenting the conclusion to the user.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] Individuals and teams engaged in creative work, as well as individuals making decisions, are often influenced by biased perspectives and emotions when coming up with ideas. As a result, problems arise, such as a lack of new perspectives and an inability to make optimal decisions. The objective of this invention is to provide a system that enables such users to generate high-quality ideas from multiple perspectives and support optimal decision-making. [Means for solving the problem]

[0005] The present invention provides a system including: means for receiving ideas input by a user; means for generating characters based on the ideas; means for holding discussions between the characters from multiple perspectives; means for users to add opinions and questions to the discussions in real time; and means for generating conclusions based on the discussions and presenting them to the users. The system may also include means for users to customize the characteristics of the characters and means for storing ideas and discussions in a database. In this way, users can obtain opinions from multiple perspectives, enabling the creation of higher-quality ideas and optimal decision-making.

[0006] A "user" is an individual or team who uses the system to input ideas and participate in discussions.

[0007] An "idea" is a thought or plan that a user inputs into the system and that becomes the subject of subsequent discussion.

[0008] The "receiving means" is a function or method for incorporating ideas input by users into the system.

[0009] "Characters" are virtual personalities automatically created using generative AI models, each with their own unique perspectives and characteristics.

[0010] The "means for generating characters" is a function or method for automatically creating characters with a variety of characteristics based on the user's ideas.

[0011] "Means for discussion" refers to the function or method by which the generated characters exchange opinions with each other and consider and evaluate ideas from multiple perspectives.

[0012] "Means for adding opinions and questions in real time" refers to a function or method that allows users to input their own opinions and questions into the system in a timely manner while a discussion is in progress and have them reflected in the discussion.

[0013] "Means for generating a conclusion and presenting it to the user" refers to a function or method for deriving an optimal conclusion or recommended action based on the content of the discussion and displaying it to the user.

[0014] "Means for customizing characteristics" refers to a function or method by which a user can adjust the characteristics of a generated character and change the character's tendencies in behavior and opinions.

[0015] "Means for saving in a database" refers to a function or method for recording ideas and discussion content in a database within the system so that they can be referenced later. [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 a virtual character develops a discussion based on an idea input by a user, supporting the creation of high-quality ideas and optimal decision-making.

[0038] System Configuration

[0039] 1. User Input Processing

[0040] The user inputs his / her idea into a dedicated input field on the terminal. For example, the user can input an idea such as "I'm thinking of a new marketing strategy." The terminal then transmits the input idea to the server.

[0041] 2. Receiving ideas

[0042] The server receives ideas submitted by users, which are then formatted into a suitable format within the system and stored in a database.

[0043] 3. Character Creation and Customization

[0044] The server uses an AI model to automatically generate a character based on the user's ideas. The generated character is set with characteristics such as "bold," "cautious," "balancer," and "person with a unique perspective." The server presents character customization options to the user, allowing the user to customize the character's characteristics. For example, a setting can be made to make a cautious character even more logical. The device sends the user's customization settings to the server, and the server resets the character's attributes.

[0045] 4. Start a virtual discussion

[0046] Once the characters are properly configured, the server will initiate a virtual discussion between them. The server will then communicate the user's ideas as the topic of discussion to the characters. The characters will then exchange opinions from multiple perspectives based on their individual characteristics.

[0047] 5. Discussion development and real-time user participation

[0048] As the discussion progresses, users can add opinions and questions in real time through their devices. For example, they can ask, "What are some ways to further expand this strategy?" The devices send the opinions and questions added by the users to the server, which then relays them to the characters to further develop the discussion.

[0049] 6. Summary and conclusion of the discussion

[0050] Once the discussion is complete, the server integrates and analyzes the opinions of the characters and users, summarizing the key points. It then generates a final conclusion and recommended actions, which are presented to the user. For example, the server could suggest a cautious approach: "We will first conduct a trial introduction in certain areas, and then consider a full rollout based on the results." The terminal displays the conclusion from the server to the user.

[0051] Specific examples

[0052] When a user types, "I'm thinking about a new social media campaign," the device sends the idea to the server. The server receives the idea, formats it into the appropriate format, and saves it. The server then automatically generates characters with the following characteristics: "Bold," "Cautious," "Balancer," and "People with Unique Perspectives." The server then presents the user with character customization options (e.g., making the Cautious character even more logical), and the user configures them.

[0053] Once setup is complete, the server will present ideas to the characters and begin a discussion. Characters will express their opinions based on their individual characteristics. For example, a bold character might say, "This marketing strategy is very innovative, but we should also consider the risks," while a cautious character might say, "We should first test it in a few areas to mitigate the risks."

[0054] During this time, users can add questions through their devices, such as "What are some ways to further expand this strategy?" The device sends the question to the server, which then relays it to the characters, allowing the discussion to unfold further.

[0055] Finally, the server oversees the discussion and generates a conclusion that "we will first conduct a small-scale test campaign and consider full deployment based on the results," and presents this to the user. The terminal then displays this conclusion to the user.

[0056] As described above, the present invention provides a specific means for users to generate high-quality ideas from multiple perspectives and make optimal decisions.

[0057] The processing flow will be explained below.

[0058] Step 1:

[0059] The user inputs his / her idea into a dedicated input field on the terminal. For example, the user inputs an idea such as "I'm thinking of a new marketing strategy."

[0060] Step 2:

[0061] The device sends the input idea to the server, along with additional information such as the user ID and timestamp.

[0062] Step 3:

[0063] The server receives ideas sent by users. Upon receiving the ideas, it checks the data format and formats them appropriately. The formatted data is then stored in a database.

[0064] Step 4:

[0065] The server uses an AI model to automatically generate characters based on the user's ideas. Characters include "Bold," "Cautious," "Balancer," and "People with Unique Perspectives." Each character is given detailed attributes such as a name, personality, and dialogue style.

[0066] Step 5:

[0067] The server presents the detailed attributes of the generated character to the user. It also displays customization options so that the user can customize the character's characteristics. For example, it is possible to set "Make cautious characters more logical."

[0068] Step 6:

[0069] The user can review the proposed character's characteristics and customize them as needed, for example by adjusting the risk tolerance of a bold character.

[0070] Step 7:

[0071] The device sends the user's customization settings to the server, including the character ID and the changes.

[0072] Step 8:

[0073] The server receives the user's customization settings, resets the character's attributes, and prepares to start a discussion based on the reset character.

[0074] Step 9:

[0075] The server starts a virtual discussion using the characters that you set up. Users provide the characters with their ideas as topics for discussion. The characters then express their opinions from multiple perspectives based on their own characteristics.

[0076] Step 10:

[0077] Characters (servers) engage in discussions and exchange diverse opinions. For example, a bold character might say, "This marketing strategy is very innovative, but we need to consider the risks," while a cautious character might suggest, "We should first introduce it on a trial basis in certain areas to mitigate the risks."

[0078] Step 11:

[0079] Users can see the discussion unfold and add their thoughts and questions in real time, such as "What are some ways to expand on this strategy?"

[0080] Step 12:

[0081] The terminal sends the opinions and questions entered by the user to the server. The data sent includes the discussion topic ID and user ID.

[0082] Step 13:

[0083] The server receives opinions and questions from users and generates responses from characters, who then provide additional opinions based on the user's questions and further develop the discussion.

[0084] Step 14:

[0085] The character (server) continues the discussion, incorporating users' opinions and questions, which increases the depth of the discussion and allows for a multifaceted perspective.

[0086] Step 15:

[0087] Once the server determines that the discussion has concluded, it integrates and analyzes the content of the discussion and summarizes the key points. This analysis uses an AI model to extract and evaluate the key points of the discussion.

[0088] Step 16:

[0089] The server generates a final conclusion and recommended actions based on the summary of the discussions, such as "First, conduct a small-scale test campaign and consider full deployment based on the results."

[0090] Step 17:

[0091] The server presents the generated conclusions to the user, including discussion points and recommended actions.

[0092] Step 18:

[0093] The terminal displays the conclusion from the server to the user, who can then decide on the next action to take.

[0094] This system allows users to have discussions from multiple perspectives, making it easier to generate higher quality ideas. In addition, because users can participate in real time, the discussions progress in an interactive and flexible manner.

[0095] Example 1

[0096] 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."

[0097] Conventional idea creation support systems make it difficult for users to exchange opinions from multiple perspectives, resulting in a lack of discussions that allow users to generate high-quality ideas. They also lacked the functionality to add opinions and questions in real time, or to present the results of discussions in a unified manner. This made it difficult for users to obtain diverse opinions necessary for optimal decision-making. Furthermore, they lacked the functionality to save user opinions and the discussion process, making it impossible to refer to them later.

[0098] 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.

[0099] In this invention, the server includes a means for receiving ideas input by users, a means for generating characters, a means for users to customize the characteristics of the characters, a means for holding discussions between characters from multiple perspectives, a means for users to add opinions and questions to the discussions in real time, and a means for generating conclusions based on the discussions and presenting them to users. This allows users to obtain high-quality ideas from multiple perspectives and supports optimal decision-making. Furthermore, by using a generative AI model, more realistic characters can be generated, improving the quality of discussions. Including a database storage function for ideas and discussions facilitates future reference and enables continuous learning and improvement.

[0100] "Ideas" refer to new strategies, plans, and ideas entered by users.

[0101] A "character" is a virtual entity with its own characteristics that is generated based on the user's ideas and participates in discussions.

[0102] "Traits" refer to the characteristics and personality traits that a character possesses, and determine the perspective and direction of their opinions in a discussion.

[0103] "Multiple perspectives" refers to opinions from different backgrounds and ways of thinking, in order to deepen overall understanding.

[0104] A "generative AI model" refers to artificial intelligence that generates characters based on user input and settings.

[0105] A "prompt" is a sentence or question that is input to a generative AI model to obtain a specific output.

[0106] "Server" refers to a computer system that processes data, receives and stores data, generates characters, and develops discussions within the system.

[0107] "Terminal" refers to a device that allows users to input ideas and participate in discussions in real time.

[0108] "User" refers to a person who uses the system to input ideas and participate in discussions.

[0109] A "database" refers to a data storage system for storing ideas and discussions.

[0110] This invention is a system that supports the creation of high-quality ideas and optimal decision-making by having virtual characters discuss ideas input by users. This system operates as follows between users, terminals, and a server.

[0111] 1. User Input Processing

[0112] The user inputs their idea into a dedicated input field on the device. For example, they can input an idea such as "I'm thinking of a new marketing strategy." The device receives the user's input and sends it to the server, which receives the idea.

[0113] 2. Receiving ideas

[0114] The server receives ideas submitted by users, which are then formatted in the system into a suitable format and stored in a database for future reference.

[0115] 3. Character Creation and Customization

[0116] The server uses a generative AI model to automatically generate a character based on the user's ideas. The generated character is set with characteristics such as "bold," "cautious," "balancer," and "person with a unique perspective." The server then presents the user with character customization options. For example, a setting is possible to make a cautious character even more logical. The user customizes the character's characteristics using their device, and the device sends the customization settings to the server. The server then resets the character's attributes based on the received settings.

[0117] 4. Start a virtual discussion

[0118] Once the characters are properly configured, the server will start a virtual discussion between them. The server will then communicate the user's ideas as the topic of discussion to the characters. Each character will then express their opinions from multiple perspectives based on their own characteristics.

[0119] 5. Discussion development and real-time user participation

[0120] While the discussion is in progress, users can add opinions and questions in real time through their devices. For example, they can ask, "What are some ways to further expand this strategy?" The devices send the users' opinions and questions to the server, which then relays them to the characters to develop the discussion.

[0121] 6. Summary and conclusion of the discussion

[0122] Once the discussion is over, the server integrates and analyzes the opinions of the characters and users, summarizing key points. It then generates a final conclusion and recommended actions, which are presented to the user. For example, the conclusion could be, "As a cautious approach, we will first conduct a trial introduction in certain areas, and then consider a full rollout based on the results." The device displays the conclusion from the server to the user.

[0123] Specific examples

[0124] If a user types, "I'm thinking about a new social media campaign," the device sends the idea to the server. The server formats and saves the received idea. The server then generates characters: "Bold," "Cautious," "Balancer," and "People with Unique Perspectives." The server presents the user with character customization options, which the user can then configure.

[0125] Once setup is complete, the server will communicate ideas to the characters and begin a discussion. Characters will express their opinions based on their individual characteristics. For example, a bold character might say, "This marketing strategy is very innovative, but we should also consider the risks," while a cautious character might say, "We should first test it in a few areas to mitigate the risks."

[0126] During the discussion, the user can add a question such as, "What is the best way to expand on this strategy?" The device sends the question to the server, which then passes it on to the character, further developing the discussion.

[0127] Finally, the server oversees the discussion and generates a conclusion that "we will first conduct a small-scale test campaign and consider full deployment based on the results," and presents this to the user. The terminal then displays this conclusion to the user.

[0128] Prompt Sentence Examples

[0129] An example of an input prompt for the generative AI model is, "Based on the following characters, please generate opinions for each of the new social media campaigns the user is considering. The characters are 'Bold', 'Cautious', 'Balancer', and 'Someone with a Unique Perspective'. Please state your opinions from multiple perspectives."

[0130] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0131] Step 1: A user inputs an idea into a dedicated input field on the terminal. For example, the user inputs the idea "I'm thinking of a new marketing strategy." The input idea is sent to the server by the terminal.

[0132] Input: User Ideas

[0133] Output: Sending ideas to the server

[0134] Step 2: The server receives the ideas sent by the users, formats them into the appropriate format within the system, and stores them in the database.

[0135] Input: Ideas sent from your device

[0136] Output: Formatted ideas, ideas stored in a database

[0137] Step 3: The server uses the generative AI model to automatically generate a character based on the user's idea. The generated character is given characteristics such as "bold," "cautious," "balancer," and "person with a unique perspective."

[0138] Input: Formatted Idea

[0139] Output: The generated character

[0140] Step 4: The server presents the user with character customization options. The user customizes the character's characteristics using the device. For example, the user can set "more logical cautious characters." The device sends the user's customization settings to the server. The server resets the character's attributes based on the received settings.

[0141] Input: Generated character, user customization settings

[0142] Output: Reconfigured character

[0143] Step 5: The server communicates the user's idea to the appropriately configured characters and starts a discussion. The characters express their opinions from multiple perspectives based on their characteristics.

[0144] Input: Reconfigured characters, user ideas

[0145] Output: Discussion between characters, development of opinions

[0146] Step 6: While the discussion is ongoing, users can add their opinions and questions in real time through their devices. For example, they can add a question like, "What are some ways to further expand this strategy?" The user's opinions and questions are sent to the server by their devices. The server then relays them to the characters, allowing the discussion to develop.

[0147] Input: User comments and questions

[0148] Output: Updated discussion, additional character opinions

[0149] Step 7: Once the discussion is over, the server integrates and analyzes the opinions of the characters and the user, summarizing the key points. It generates a final conclusion and recommended actions, which are presented to the user. For example, it could suggest a cautious approach: "We will first conduct a trial introduction in certain areas, and then consider a full rollout based on the results." The device displays the conclusion from the server to the user.

[0150] Input: Character and user opinions

[0151] Output: Summary of key points, final conclusion

[0152] The above are the specific processing steps of this system.

[0153] (Application example 1)

[0154] 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."

[0155] In modern brick-and-mortar stores, developing effective marketing strategies is extremely important, but it is not easy to efficiently hold discussions from multiple perspectives and generate high-quality ideas. Furthermore, the difficulty of adding opinions or questions in real time can hinder rapid decision-making. To solve these issues, a system is needed in which a variety of characters can hold discussions and users can participate in the process in real time.

[0156] 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.

[0157] In this invention, the server includes means for receiving ideas input by users, means for generating characters based on the ideas, means for holding discussions between the characters from multiple perspectives, means for users to add opinions and questions to the discussions in real time, means for generating conclusions based on the discussions and presenting them to users, and means including application examples for devising marketing strategies for physical stores. This allows discussions to be held efficiently from multiple perspectives, allows users to participate in the process in real time, and makes it possible to quickly create high-quality ideas.

[0158] A "user" is someone who uses the system to input ideas and participate in discussions.

[0159] "Ideas" are thoughts and suggestions about new marketing or sales strategies that users provide to the system.

[0160] A "character" is a virtual person that is generated based on the user's ideas and that engages in discussions from multiple perspectives.

[0161] "Multifaceted perspectives" means expressing opinions from a variety of different positions and perspectives.

[0162] A "discussion" is a process in which characters exchange ideas.

[0163] "Real-time" means that users can participate in the discussion immediately and add their opinions or questions.

[0164] A "conclusion" is a final opinion or recommended action that results from a discussion.

[0165] "Presenting" is the act of displaying or communicating a conclusion to a user.

[0166] A "brick and mortar store" is a place of sale that exists in a physical location and where customers can visit and purchase products.

[0167] A "marketing strategy" is a plan or method for effectively providing products or services to customers.

[0168] An "application" is a method or process that specifically implements an invention in a particular field or situation.

[0169] The term "system" is a general term for information processing means and its components for realizing the functions of the present invention.

[0170] This invention is a system that supports the creation of high-quality ideas and optimal decision-making by having characters discuss ideas input by users. This system is particularly useful as a tool for devising marketing strategies for brick-and-mortar stores.

[0171] System Configuration

[0172] This system has six main functions: user input processing, idea reception, character creation and customization, virtual discussion initiation, discussion development and real-time user participation, and discussion summary and conclusion. These functions are explained in detail below.

[0173] 1. User Input Processing

[0174] The user can input their own idea in a dedicated input field. For example, they can input an idea such as "I'm thinking of creating a new loyalty program." The terminal then sends this input idea to the server.

[0175] 2. Receiving ideas

[0176] The server receives the ideas sent by the users, formats them into an appropriate format, and stores them in a database. These stored ideas are the basis for character generation.

[0177] 3. Character Creation and Customization

[0178] The server uses a generative AI model to automatically generate characters based on the user's ideas. The generated characters are set with characteristics such as "bold," "cautious," "balancer," and "person with a unique perspective." The server presents the user with character customization options, allowing the user to change the characteristics. For example, a setting can be made to "make cautious characters even more logical."

[0179] 4. Start a virtual discussion

[0180] Once the characters are properly configured, the server initiates a virtual discussion between them. The server presents the user's ideas as topics for discussion to the characters. The characters then exchange opinions from multiple perspectives based on their individual characteristics.

[0181] 5. Discussion development and real-time user participation

[0182] As the discussion progresses, users can add their opinions and questions in real time through their devices. For example, they can ask questions such as, "What impact does this program have on customers?" The devices then send the opinions and questions added by the users to the server, which then relays them to the characters to further develop the discussion.

[0183] 6. Summary and conclusion of the discussion

[0184] Once the discussion is complete, the server integrates and analyzes the opinions of the characters and users, summarizing the key points. It then generates a final conclusion and recommended actions, which are presented to the user. For example, it could suggest that a small-scale test campaign should be conducted first, and then a full rollout should be considered based on the results.

[0185] Specific examples

[0186] For example, if a store manager inputs, "We're thinking about a new loyalty program," characters generated based on that idea will discuss the idea from each perspective. The "bold" group is expected to say, "This program is very innovative, but we should also consider the risks," while the "cautious" group is expected to say, "We should first introduce it on a trial basis in a limited area to mitigate the risks." During this time, the user can insert an additional question, such as, "What impact will this program have on customers?" Finally, the server presents the user with a recommended action: "As a cautious approach, we will first introduce it on a trial basis in a limited area and then consider rolling it out globally based on the results."

[0187] Hardware and software used

[0188] The system uses the following hardware and software:

[0189] Hardware: Servers, user devices (smartphones, tablets, PCs)

[0190] Software: Flask (web framework), OpenAI API (generative AI model)

[0191] An example prompt for the generative AI model we will use:

[0192] Generate a character to discuss a user idea: 'I'm thinking about a new loyalty program.'

[0193] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0194] Step 1:

[0195] The user inputs ideas about marketing and sales strategies into a dedicated input field. For example, the user inputs an idea such as "I'm thinking about a new loyalty program." The input data is sent from the user terminal to the server.

[0196] Step 2:

[0197] The server receives ideas sent by users, formats them into an appropriate format, and stores them in a database. Specifically, the server formats the text data and processes it to fit into existing data structures.

[0198] Step 3:

[0199] The server uses a generative AI model to automatically generate a character based on the user's idea. The generated character is set with characteristics such as "bold," "cautious," "balancer," and "person with a unique perspective." To generate the character, a prompt such as "Generate a character that discusses the user's idea: 'We are thinking of a new loyalty program.'" is input into the generative AI model. In this process, the character's attributes are determined by data calculation based on the input idea, and character setting data is obtained as the output.

[0200] Step 4:

[0201] The server presents the generated character to the user and provides options for customizing the character's characteristics. For example, the user can customize the character to make it more logical. The customization data is then sent back to the server from the user's device. At this stage, the character's attribute data is recalculated based on the user's customization input, and the character profile is updated.

[0202] Step 5:

[0203] The server initiates a virtual discussion using customized characters. The server presents the user's ideas as discussion topics to the characters, who then express their opinions based on their individual characteristics. Here, the user's ideas and character profiles are used as input data, and the text data of the discussion is generated as output.

[0204] Step 6:

[0205] Users can participate in the discussion in real time through their devices and submit additional opinions or questions. For example, they can add a question such as, "What impact does this program have on customers?" This input data is sent from the user's device to the server and integrated with the text data of the discussion.

[0206] Step 7:

[0207] The server receives additional comments and questions from users and transmits them to the characters to further develop the discussion. The input data includes additional comments and questions from users, and the characters generate text data for the additional discussion based on them.

[0208] Step 8:

[0209] Once the discussion is over, the server integrates and analyzes the opinions of the characters and users to generate conclusions and recommended actions. Using a generative AI model, it creates output data for the user, such as a conclusion to "first conduct a small-scale test campaign and consider overall expansion based on the results."

[0210] Step 9:

[0211] The server presents the final conclusion and recommended actions to the user. The user terminal receives the output data from the server and displays the conclusion and recommended actions to the user.

[0212] 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.

[0213] The present invention combines a system in which virtual characters develop discussions based on ideas input by users, supporting the creation of high-quality ideas and optimal decision-making from multiple perspectives, with an emotion engine that recognizes the user's emotions.

[0214] System Configuration

[0215] 1. User Input Processing

[0216] The user inputs his / her idea into a dedicated input field on the terminal. For example, the user inputs the idea, "I'm thinking of a new marketing strategy." The terminal then transmits the input idea to the server.

[0217] 2. Receiving ideas

[0218] The server receives the ideas sent by the users, formats them into an appropriate format, and stores them in a database.

[0219] 3. Character Creation and Customization

[0220] The server uses an AI model to automatically generate a character based on the user's ideas. The generated character is set with characteristics such as "bold," "cautious," "balancer," and "person with a unique perspective." The server presents character customization options to the user, and the user customizes the character's characteristics. For example, a setting can be made to make a cautious character even more logical. The device sends the user's customization settings to the server, and the server resets the character's attributes.

[0221] 4. Start a virtual discussion

[0222] Once the characters are properly configured, the server starts a virtual discussion between them. The user presents their ideas to the characters as the topic of the discussion. The characters then exchange opinions from multiple perspectives based on their own characteristics.

[0223] 5. Use of Emotion Engine

[0224] The server uses an emotion engine to analyze the user's emotional state from the input content. For example, the server detects from the input text whether the user is feeling optimistic, pessimistic, stressed, etc. The emotion engine uses a text analysis algorithm to score the emotional state.

[0225] 6. Emotion-based dialogue adjustment

[0226] The server adjusts the character's responses based on the user's emotional state analyzed by the emotion engine. For example, if the user is feeling stressed, the server changes the character's conversation style to be more calm and supportive, allowing the user to relax and participate in the discussion.

[0227] 7. Real-time user participation

[0228] As the discussion progresses, users can add opinions and questions in real time through their devices. For example, they can ask, "What are some ways to further expand this strategy?" The devices send the opinions and questions added by the users to the server, which then relays them to the characters to further develop the discussion.

[0229] 8. Summary and conclusion of the discussion

[0230] Once the discussion is complete, the server integrates and analyzes the opinions of the characters and the user to summarize the key points. This analysis also takes into account emotional data. The server generates a final conclusion and recommended actions, which it presents to the user. For example, the server could suggest, "First, conduct a small-scale test campaign, and then consider expanding the campaign to its entire scope based on the results." The device displays the conclusion from the server to the user.

[0231] Specific examples

[0232] When a user types, "I'm thinking about a new social media campaign," the device sends the idea to the server. The server receives the idea, formats it into the appropriate format, and saves it. The server then automatically generates characters with the following characteristics: "Bold," "Cautious," "Balancer," and "People with Unique Perspectives." The server then presents the user with character customization options (e.g., making the Cautious character even more logical), and the user configures them.

[0233] Once setup is complete, the server will initiate a discussion with the character and use its emotion engine to analyze the user's emotional state. For example, if the character senses stress from the text the user types, it will adopt a calmer, more supportive dialogue style. Meanwhile, the user can add opinions or questions in real time, such as "What are some ways to further expand this strategy?" The device then sends this information to the server, which then relays it to the character to further develop the discussion.

[0234] Finally, the server synthesizes the discussions and generates a conclusion based on the emotional data. The conclusion could be something like, "We'll start with a small-scale test campaign and consider expanding it to the whole system based on the results." The device displays this conclusion to the user, who can then decide on their next course of action.

[0235] As described above, by combining an emotion engine, the present invention provides a high-quality discussion and decision-making process that also takes into account the user's emotional state.

[0236] The processing flow will be explained below.

[0237] Step 1:

[0238] The user inputs his / her idea into a dedicated input field on the terminal. For example, the user inputs an idea such as "I'm thinking of a new marketing strategy."

[0239] Step 2:

[0240] The device sends the input idea to the server, along with additional information such as the user ID and a timestamp.

[0241] Step 3:

[0242] The server receives ideas sent by users. When an idea is received, it checks the data format, converts it into an appropriate format, and stores it in a database.

[0243] Step 4:

[0244] The server uses an AI model to automatically generate characters based on the user's ideas. The generated characters are given characteristics such as "bold," "cautious," "balancer," and "person with a unique perspective." These characters are given detailed attributes such as names, personalities, and dialogue styles.

[0245] Step 5:

[0246] The server presents the detailed attributes of the generated character to the user via the terminal. The user can check the character's characteristics and customize them as needed. For example, a setting such as "make the cautious character even more logical" is possible.

[0247] Step 6:

[0248] The user checks the presented character's characteristics and customizes them as necessary. The terminal then transmits the customization settings to the server.

[0249] Step 7:

[0250] The server receives the customization settings sent by the user, resets the character's attributes, and prepares to start a discussion using the reset character.

[0251] Step 8:

[0252] The server starts a virtual discussion using appropriately configured characters. Users provide the characters with ideas as topics for discussion. The characters then exchange opinions from multiple perspectives based on their own characteristics.

[0253] Step 9:

[0254] The server uses an emotion engine to analyze the user's input in real time to determine their emotional state, for example, scoring their text input to determine whether they are optimistic, pessimistic, stressful, etc.

[0255] Step 10:

[0256] The server adjusts the character's responses based on the user's emotional state as analyzed by the emotion engine: for example, if the user is stressed, the character's interaction style may be changed to be more calm and supportive.

[0257] Step 11:

[0258] Users can watch the discussion unfold in real time and add their comments or questions, such as, "What are some ways to expand on this strategy?"

[0259] Step 12:

[0260] The terminal sends the opinions and questions added by the user to the server, including the discussion topic ID and user ID.

[0261] Step 13:

[0262] The server receives the user's opinions and questions and transmits them to the characters, who then respond to the user's questions and opinions and further develop the discussion.

[0263] Step 14:

[0264] The character (server) continues the discussion while incorporating the user's opinions and questions, which increases the depth of the discussion and further strengthens the multifaceted perspectives.

[0265] Step 15:

[0266] Once the server determines that the discussion has concluded, it integrates and analyzes the content of the discussion, taking into account the user's emotional data.

[0267] Step 16:

[0268] The server generates a final conclusion and recommended actions based on the summary of the discussions. For example, a conclusion could be, "First, conduct a small-scale test campaign, and then consider full deployment based on the results."

[0269] Step 17:

[0270] The server presents the generated conclusions to the user, including discussion points and recommended actions.

[0271] Step 18:

[0272] The terminal displays the conclusion from the server to the user, who can then decide on the next action based on this conclusion.

[0273] This system allows users to have discussions from multiple perspectives, supporting the creation of high-quality ideas and optimal decision-making. In addition, by utilizing an emotion engine, an interactive discussion environment is provided that takes into account the user's emotional state.

[0274] Example 2

[0275] 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."

[0276] Conventional idea generation and decision support systems have problems such as users feeling stressed or not being able to reach optimal ideas or conclusions because they do not take into account the emotional state of the user in their dialogue or discussion. Another problem is that they lack the flexibility to add user opinions or questions in real time.

[0277] 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.

[0278] In this invention, the server includes means for receiving ideas input by users, means for generating characters using a generative AI model, means for holding discussions between characters from multiple perspectives, means for analyzing the emotional state of users using an emotion engine and adjusting the responses of the characters, means for users to add opinions and questions in real time, and means for generating conclusions based on the discussions and presenting them to users. This enables users to have high-quality discussions that take into account their emotional state and to flexibly add opinions and questions in real time.

[0279] A "user" is someone who uses the system to input ideas and participate in the discussion and decision-making process.

[0280] "Ideas" refer to creative suggestions or thoughts that users enter into the input fields.

[0281] "Terminal" refers to the device that a user uses to access the system, input ideas, and participate in discussions.

[0282] The "server" refers to the core part of the system that receives ideas entered by users, generates characters, manages discussions, and presents the final conclusion.

[0283] A "generative AI model" refers to an artificial intelligence algorithm that automatically generates characters and arguments based on user ideas.

[0284] "Characters" refer to virtual personalities generated by generative AI models that express opinions from multiple perspectives.

[0285] "Emotion engine" refers to a program that analyzes a user's text input and determines the user's emotional state.

[0286] "Discussion" refers to the exchange of opinions and in-depth discussion of a topic between generated characters.

[0287] "Real-time" means that users can add their opinions or questions instantly, and that data is immediately reflected in the system.

[0288] "Conclusion" refers to the final recommended action or decision generated by the server as a result of the discussion and presented to the user.

[0289] "Customization" refers to a user changing a character's characteristics or behavior patterns.

[0290] The present invention combines a system in which virtual characters develop discussions based on ideas input by users, supporting the creation of high-quality ideas and optimal decision-making from multiple perspectives, with an emotion engine that recognizes the user's emotions.

[0291] System Configuration

[0292] 1. User Input Processing

[0293] A user inputs their idea into a dedicated input field on the device. For example, they might input "I'm thinking of a new marketing strategy." The device then takes this input data, formats it, and sends it to the server. For example, the device converts the input data into JSON format and sends it to the server as an HTTP POST request.

[0294] 2. Receiving ideas

[0295] The server receives ideas sent from the device. The received data is sanitized and checked for any invalid data. It is then formatted into a standard format and stored in a database. The server uses a database connection library to securely store idea data.

[0296] 3. Character Creation and Customization

[0297] The server uses a generative AI model (such as GPT-3) to automatically generate a character based on the user's idea. The generated character is set with characteristics such as "bold," "cautious," "balancer," and "person with a unique perspective." The server then sends options to the device to provide the user with character customization options. The user uses these customization options to adjust the character's characteristics. When the user operates a web form to select an option, the information is sent from the device to the server, and the character's attributes are reset.

[0298] As a specific example, the user can set "make cautious characters even more logical."

[0299] 4. Start a virtual discussion

[0300] Once the characters are ready, the server starts a virtual discussion between these characters. The user's ideas are communicated to the characters as the topic of the discussion. The characters then use the generative AI model to exchange diverse opinions based on their individual characteristics. Specifically, the server sends prompts to the generative AI model, and the responses are given to the characters in the form of a discussion.

[0301] An example prompt might be, "We're considering a new marketing strategy. How would the Bold approach it?"

[0302] 5. Use of Emotion Engine

[0303] The server uses an emotion engine to analyze the emotional state of the user's input. The analysis uses a text analysis algorithm to score the user's emotional state, such as optimistic, pessimistic, or stressful. Specifically, the server uses an emotion analysis library (e.g., an NLP library) to calculate the emotion score of the text.

[0304] 6. Emotion-based dialogue adjustment

[0305] The server adjusts the character's responses based on the analysis results of the emotion engine. For example, if the user is feeling stressed, the character's dialogue style will be changed to a more calm and supportive one. Specifically, the server changes the tone and content of the response message according to the emotion score and sets it as the character's lines.

[0306] 7. Real-time user participation

[0307] While the discussion is in progress, users can add opinions and questions in real time using their device. For example, they can type a question like, "What are some ways to further expand this strategy?" into their device. The device then sends this input data to the server, which then relays the content to the character and continues the discussion. Specifically, the user's input is sent to the server in real time using a WebSocket or similar, and the server then sends a prompt to the generative AI model to obtain a response.

[0308] 8. Summary and conclusion of the discussion

[0309] Once the discussion is complete, the server integrates and analyzes the opinions of the characters and the user to summarize the main points. Emotional data is also taken into account in this analysis. The server generates a final conclusion and recommended actions, which are presented to the user. For example, the conclusion could be to "first conduct a small-scale test campaign and then consider expanding it to a larger scale based on the results." The device then displays the conclusion from the server to the user. Specifically, the server sends the generated conclusion data to the device in JSON format, and the device renders it in an easy-to-read format and displays it to the user.

[0310] By combining an emotion engine, the present invention provides a high-quality discussion and decision-making process that also takes into account the user's emotional state.

[0311] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0312] Step 1: User input

[0313] The user enters their idea in a dedicated input field. For example, they might enter "I'm thinking of a new marketing strategy." The entered text data is sent to the device. The device then converts this input data into JSON format and makes an HTTP POST request to send it to the server. The input is the user's idea, and the output is the idea data in JSON format.

[0314] Step 2: Receive and save ideas

[0315] The server receives idea data sent from the terminal. The received data is sanitized and checked to see if it contains any invalid data. The server then saves the data in a database. Specifically, the server analyzes the received idea data, formats it appropriately, and saves it through a database connection library. The input is the sanitized idea data, and the output is the record saved in the database.

[0316] Step 3: Character Generation

[0317] The server automatically generates characters using a generative AI model (such as GPT-3) based on the saved idea data. The generated characters are set with characteristics such as "bold," "cautious," "balancer," and "person with a unique perspective." The server sends a prompt to the generative AI model and generates a character based on the response. The input is the idea data and the prompt, and the output is the generated character.

[0318] Step 4: Character Customization

[0319] The server provides options for users to customize the characteristics of the generated character. To do this, it displays customization options on the terminal. The user configures settings through the terminal and sends them to the server. The server redefines the character's characteristics based on the received settings. The input is the user's customization settings, and the output is the customized character.

[0320] Step 5: Start a virtual discussion

[0321] The server starts a virtual discussion using a character customized by the user. The user's ideas are conveyed to the character as the topic of the discussion. The characters then express their opinions from multiple perspectives based on their individual characteristics. The server sends prompts to the generative AI model, and the responses are used as the characters' statements. The input is the customized character and the user's ideas, and the output is the content of the characters' discussion.

[0322] Step 6: Emotion analysis using the emotion engine

[0323] While the discussion is in progress, the server uses an emotion engine to analyze the user's emotional state. The input text data is scored using an emotion analysis library (e.g., an NLP library). The analysis result is output as data indicating the user's emotional state. The input is the user's text data, and the output is a score of the emotional state.

[0324] Step 7: Adjusting interactions based on emotion

[0325] The server adjusts the character's dialogue style based on the analysis results of the emotion engine. For example, if the user is feeling stressed, the character's responses will be changed to be more gentle and supportive. Depending on the emotion score, the tone and content of the response message will be changed and set as the character's lines. The input is the emotion score, and the output is the adjusted character's response.

[0326] Step 8: Real-time user participation

[0327] Users can add opinions and questions in real time as the discussion progresses. For example, they can input a question such as, "What are some ways to further expand this strategy?" The device sends this input data to the server, which then relays it to the character to continue the discussion. The input is the user's additional opinions and questions, and the output is the character's response.

[0328] Step 9: Summarizing the discussion and generating conclusions

[0329] After the discussion is complete, the server integrates the opinions of the characters and users and summarizes the key points. Emotional data is also taken into account in this analysis. The server generates a final conclusion and recommended actions and presents them to the user. For example, the conclusion could be, "First, conduct a small-scale test campaign and consider expanding it to the whole system based on the results." The input is the integrated discussion data and emotional data, and the output is a conclusion and recommended actions.

[0330] (Application example 2)

[0331] 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."

[0332] While conventional idea creation support systems can engage in multifaceted discussions on ideas entered by users, they do not take into account the user's emotional state in their responses or adjust the discussions, making it difficult to reduce the burden and stress on users.In addition, there has been a lack of systems that support high-quality decision-making that reflects opinions from diverse perspectives.

[0333] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for receiving ideas input by users, means for generating characters based on the ideas, means for holding discussions between characters from multiple perspectives, means for users to add opinions and questions in real time, means for generating conclusions based on the discussions and presenting them to users, means for generating responses of the characters using a generative AI model, means for analyzing user emotions using an emotion analysis engine, and means for adjusting the character responses based on the results of the emotion analysis engine. This enables high-quality discussions and decision-making support that take into account the emotional state of users.

[0334] "User" means an individual or company that uses the system to input ideas and participate in discussions.

[0335] A "character" is an artificial intelligence that is generated based on the user's ideas and has a virtual role to discuss things from multiple perspectives.

[0336] "Ideas" refer to creative proposals such as new strategies and product designs that users input into the system.

[0337] "Multifaceted perspectives" is a method in which characters with different opinions and approaches evaluate and discuss ideas from various angles.

[0338] "A means for adding comments and questions in real time" is a feature that provides an interface that allows users to instantly add new comments and questions to an ongoing discussion.

[0339] The "conclusion" is the result that integrates the characters' discussions and presents the best recommended action or next step for the user.

[0340] A "generative AI model" is an artificial intelligence algorithm that generates character responses based on the user's ideas.

[0341] An "emotion analysis engine" is a system that analyzes emotions from user input and scores the emotional state.

[0342] "Means to adjust responses" is a function that adjusts a character's responses and dialogue style based on the results of the emotion analysis engine.

[0343] This invention is a system in which a virtual character develops a discussion based on an idea input by a user and adjusts the response taking into account the user's emotional state. The system is implemented using the following hardware and software.

[0344] Hardware and software used

[0345] Hardware: Server machine, smartphone (used by users)

[0346] Software: Flask (a Python web framework), OpenAI GPT-3 (a generative AI model), sentiment analysis algorithms (e.g., NLTK and TextBlob)

[0347] System configuration

[0348] User Input Processing

[0349] The user inputs their idea into a dedicated input field on the smartphone. For example, they input the idea, "I'm thinking of a new marketing strategy." The device then sends the input idea to the server.

[0350] Receiving ideas

[0351] The server receives the ideas sent by the users, formats them into an appropriate format, and stores them in a database.

[0352] Character Generation and Customization

[0353] The server uses a generative AI model to automatically generate a character based on the user's ideas. The generated character is set with characteristics such as "bold," "cautious," "balancer," and "person with a unique perspective." The server presents character customization options to the user, allowing the user to customize the character's characteristics. For example, a setting can be made to make a "cautious character even more logical." The device sends the user's customization settings to the server, and the server resets the character's attributes.

[0354] Virtual discussion begins

[0355] Once the characters are properly configured, the server starts a virtual discussion between them. The user presents their ideas to the characters as the topic of the discussion. The characters then exchange opinions from multiple perspectives based on their own characteristics.

[0356] Use of emotion engine

[0357] The server uses an emotion analysis engine to analyze the user's emotional state from the input content. For example, it can detect whether the user is feeling optimistic, pessimistic, or stressed from the input text. The emotion engine analyzes the text and scores the emotional state.

[0358] Emotion-based dialogue adjustment

[0359] The server adjusts the character's responses based on the user's emotional state as analyzed by the emotion analysis engine. For example, if the user is feeling stressed, the server changes the character's conversation style to be more calm and supportive, allowing the user to relax and participate in the discussion.

[0360] Real-time user participation

[0361] As the discussion progresses, users can add their opinions and questions in real time via their smartphones. For example, they can ask, "What are some ways to further expand this strategy?" The device sends the opinions and questions added by the users to the server, which then relays them to the characters to further develop the discussion.

[0362] Summary and conclusion of the discussion

[0363] Once the discussion is complete, the server integrates and analyzes the opinions of the characters and the user to summarize the key points. This analysis also takes into account emotional data. The server generates a final conclusion and recommended actions, which are presented to the user. For example, the server could suggest, "First, conduct a small-scale test campaign, and then consider expanding the campaign to its full potential based on the results." The device displays the conclusion from the server to the user.

[0364] Specific examples

[0365] For example, if a user inputs an idea such as "I'm thinking of creating a campaign for a new seasonal limited edition product," the device sends the idea to the server. The server receives the idea, formats it in an appropriate format, and saves it. The server then automatically generates characters such as "Bold," "Cautious," "Balancer," and "People with Unique Perspectives," and users can customize their characteristics.

[0366] Once customization is complete, the server will initiate a discussion with the character and utilize an emotion engine to analyze the user's emotional state. For example, if the server detects that the user is feeling stressed from the text they type, the character will adopt a calmer, more supportive dialogue style.

[0367] Users can add opinions and questions in real time, such as "What are some ways to expand on this strategy?", and the device sends this information to the server, which then relays it to the characters to further develop the discussion.

[0368] Finally, the server synthesizes the discussions and generates a conclusion based on the emotional data. The conclusion could be something like, "We'll start with a small-scale test campaign and consider expanding it to the whole system based on the results." The device displays this conclusion to the user, who can then decide on their next course of action.

[0369] Prompt Sentence Examples

[0370] You're bold. Discuss this idea creatively: You're thinking about a campaign for a new seasonal product.

[0371] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0372] Step 1:

[0373] The user enters their idea into a dedicated input field on their smartphone. For example, they enter an idea such as, "I'm thinking of a new marketing strategy." The input data is in text format and is used in the next step.

[0374] Step 2:

[0375] The terminal sends the input idea to the server. The input here is the user's idea text, and the output is the idea text being received by the server through communication with the server. This makes the idea available throughout the system.

[0376] Step 3:

[0377] The server receives ideas sent by users, formats them into an appropriate format, and saves them in a database. Specifically, it converts the idea text into JSON format and stores it in the database. The input is the user's idea text, and the output is saving the formatted data in the database.

[0378] Step 4:

[0379] The server automatically generates a character based on the user's idea using a generative AI model. The generated character is set with characteristics such as "bold," "cautious," "balancer," and "person with a unique perspective." The input is the formatted idea text, and the output is the profile of the generated character.

[0380] Step 5:

[0381] The server presents the user with character customization options, allowing the user to customize the character's characteristics. For example, a setting can be made to "make a cautious character more logical." The input is the character's initial profile, and the output is the customized character profile.

[0382] Step 6:

[0383] The terminal sends the user's customization settings to the server, and the server resets the character's attributes. The input is the user's customization settings, and the output is the reset character profile.

[0384] Step 7:

[0385] Once the characters are properly configured, the server starts a virtual discussion between these characters. The user's ideas are presented to the characters as topics for discussion. The input is a customized character profile and idea text, and the output is the dialogue between the characters.

[0386] Step 8:

[0387] The server uses an emotion analysis engine to analyze the emotional state from the user's input. The input text is analyzed to generate an emotional score. For example, the input text is scored as an emotional state such as optimistic, pessimistic, or stressful. The input is the user's input text, and the output is the emotional state score.

[0388] Step 9:

[0389] The server adjusts the character's response based on the user's emotional state analyzed by the emotion analysis engine. For example, if the user is feeling stressed, the server changes the character's interaction style to be more calm and supportive. The input is the emotional state score, and the output is the adjusted character's response.

[0390] Step 10:

[0391] As the discussion progresses, users can add opinions and questions in real time via their smartphones. For example, they can ask, "What are some ways to further expand this strategy?" The input is the opinions and questions added by the users, and the output is the opinions and questions sent to the server.

[0392] Step 11:

[0393] The terminal sends the opinions and questions added by the user to the server, which then relays them to the characters to further develop the discussion. The input is the opinions and questions received in real time by the users, and the output is the content of the new discussion between the characters.

[0394] Step 12:

[0395] Once the discussion is complete, the server integrates and analyzes the opinions of the characters and the user, summarizing the key points. The input is the content of the discussion between the characters and the user's opinions, and the output is an integrated conclusion and recommended actions. The server then presents this conclusion to the user.

[0396] Step 13:

[0397] The terminal displays the conclusion received from the server to the user. For example, a conclusion could be "First, conduct a small-scale test campaign, and then consider a full rollout based on the results." This makes it easier for the user to decide on the next action. The input is the conclusion sent from the server, and the output is the final conclusion information displayed to the user.

[0398] 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.

[0399] 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.

[0400] 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.

[0401] [Second embodiment]

[0402] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0403] 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.

[0404] 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).

[0405] 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.

[0406] 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.

[0407] 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).

[0408] 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.

[0409] 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.

[0410] 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.

[0411] 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.

[0412] 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.

[0413] 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."

[0414] The present invention is a system in which a virtual character develops a discussion based on an idea input by a user, supporting the creation of high-quality ideas and optimal decision-making.

[0415] System Configuration

[0416] 1. User Input Processing

[0417] The user inputs his / her idea into a dedicated input field on the terminal. For example, the user can input an idea such as "I'm thinking of a new marketing strategy." The terminal then transmits the input idea to the server.

[0418] 2. Receiving ideas

[0419] The server receives ideas submitted by users, which are then formatted into a suitable format within the system and stored in a database.

[0420] 3. Character Creation and Customization

[0421] The server uses an AI model to automatically generate a character based on the user's ideas. The generated character is set with characteristics such as "bold," "cautious," "balancer," and "person with a unique perspective." The server presents character customization options to the user, allowing the user to customize the character's characteristics. For example, a setting can be made to make a cautious character even more logical. The device sends the user's customization settings to the server, and the server resets the character's attributes.

[0422] 4. Start a virtual discussion

[0423] Once the characters are properly configured, the server will initiate a virtual discussion between them. The server will then communicate the user's ideas as the topic of discussion to the characters. The characters will then exchange opinions from multiple perspectives based on their individual characteristics.

[0424] 5. Discussion development and real-time user participation

[0425] As the discussion progresses, users can add opinions and questions in real time through their devices. For example, they can ask, "What are some ways to further expand this strategy?" The devices send the opinions and questions added by the users to the server, which then relays them to the characters to further develop the discussion.

[0426] 6. Summary and conclusion of the discussion

[0427] Once the discussion is complete, the server integrates and analyzes the opinions of the characters and users, summarizing the key points. It then generates a final conclusion and recommended actions, which are presented to the user. For example, the server could suggest a cautious approach: "We will first conduct a trial introduction in certain areas, and then consider a full rollout based on the results." The terminal displays the conclusion from the server to the user.

[0428] Specific examples

[0429] When a user types, "I'm thinking about a new social media campaign," the device sends the idea to the server. The server receives the idea, formats it into the appropriate format, and saves it. The server then automatically generates characters with the following characteristics: "Bold," "Cautious," "Balancer," and "People with Unique Perspectives." The server then presents the user with character customization options (e.g., making the Cautious character even more logical), and the user configures them.

[0430] Once setup is complete, the server will present ideas to the characters and begin a discussion. Characters will express their opinions based on their individual characteristics. For example, a bold character might say, "This marketing strategy is very innovative, but we should also consider the risks," while a cautious character might say, "We should first test it in a few areas to mitigate the risks."

[0431] During this time, users can add questions through their devices, such as "What are some ways to further expand this strategy?" The device sends the question to the server, which then relays it to the characters, allowing the discussion to unfold further.

[0432] Finally, the server oversees the discussion and generates a conclusion that "we will first conduct a small-scale test campaign and consider full deployment based on the results," and presents this to the user. The terminal then displays this conclusion to the user.

[0433] As described above, the present invention provides a specific means for users to generate high-quality ideas from multiple perspectives and make optimal decisions.

[0434] The processing flow will be explained below.

[0435] Step 1:

[0436] The user inputs his / her idea into a dedicated input field on the terminal. For example, the user inputs an idea such as "I'm thinking of a new marketing strategy."

[0437] Step 2:

[0438] The device sends the input idea to the server, along with additional information such as the user ID and timestamp.

[0439] Step 3:

[0440] The server receives ideas sent by users. Upon receiving the ideas, it checks the data format and formats them appropriately. The formatted data is then stored in a database.

[0441] Step 4:

[0442] The server uses an AI model to automatically generate characters based on the user's ideas. Characters include "Bold," "Cautious," "Balancer," and "People with Unique Perspectives." Each character is given detailed attributes such as a name, personality, and dialogue style.

[0443] Step 5:

[0444] The server presents the detailed attributes of the generated character to the user. It also displays customization options so that the user can customize the character's characteristics. For example, it is possible to set "Make cautious characters more logical."

[0445] Step 6:

[0446] The user can review the proposed character's characteristics and customize them as needed, for example by adjusting the risk tolerance of a bold character.

[0447] Step 7:

[0448] The device sends the user's customization settings to the server, including the character ID and the changes.

[0449] Step 8:

[0450] The server receives the user's customization settings, resets the character's attributes, and prepares to start a discussion based on the reset character.

[0451] Step 9:

[0452] The server starts a virtual discussion using the characters that you set up. Users provide the characters with their ideas as topics for discussion. The characters then express their opinions from multiple perspectives based on their own characteristics.

[0453] Step 10:

[0454] Characters (servers) engage in discussions and exchange diverse opinions. For example, a bold character might say, "This marketing strategy is very innovative, but we need to consider the risks," while a cautious character might suggest, "We should first introduce it on a trial basis in certain areas to mitigate the risks."

[0455] Step 11:

[0456] Users can see the discussion unfold and add their thoughts and questions in real time, such as "What are some ways to expand on this strategy?"

[0457] Step 12:

[0458] The terminal sends the opinions and questions entered by the user to the server. The data sent includes the discussion topic ID and user ID.

[0459] Step 13:

[0460] The server receives opinions and questions from users and generates responses from characters, who then provide additional opinions based on the user's questions and further develop the discussion.

[0461] Step 14:

[0462] The character (server) continues the discussion, incorporating users' opinions and questions, which increases the depth of the discussion and allows for a multifaceted perspective.

[0463] Step 15:

[0464] Once the server determines that the discussion has concluded, it integrates and analyzes the content of the discussion and summarizes the key points. This analysis uses an AI model to extract and evaluate the key points of the discussion.

[0465] Step 16:

[0466] The server generates a final conclusion and recommended actions based on the summary of the discussions, such as "First, conduct a small-scale test campaign and consider full deployment based on the results."

[0467] Step 17:

[0468] The server presents the generated conclusions to the user, including discussion points and recommended actions.

[0469] Step 18:

[0470] The terminal displays the conclusion from the server to the user, who can then decide on the next action to take.

[0471] This system allows users to have discussions from multiple perspectives, making it easier to generate higher quality ideas. In addition, because users can participate in real time, the discussions progress in an interactive and flexible manner.

[0472] Example 1

[0473] 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."

[0474] Conventional idea creation support systems make it difficult for users to exchange opinions from multiple perspectives, resulting in a lack of discussions that allow users to generate high-quality ideas. They also lacked the functionality to add opinions and questions in real time, or to present the results of discussions in a unified manner. This made it difficult for users to obtain diverse opinions necessary for optimal decision-making. Furthermore, they lacked the functionality to save user opinions and the discussion process, making it impossible to refer to them later.

[0475] 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.

[0476] In this invention, the server includes a means for receiving ideas input by users, a means for generating characters, a means for users to customize the characteristics of the characters, a means for holding discussions between characters from multiple perspectives, a means for users to add opinions and questions to the discussions in real time, and a means for generating conclusions based on the discussions and presenting them to users. This allows users to obtain high-quality ideas from multiple perspectives and supports optimal decision-making. Furthermore, by using a generative AI model, more realistic characters can be generated, improving the quality of discussions. Including a database storage function for ideas and discussions facilitates future reference and enables continuous learning and improvement.

[0477] "Ideas" refer to new strategies, plans, and ideas entered by users.

[0478] A "character" is a virtual entity with its own characteristics that is generated based on the user's ideas and participates in discussions.

[0479] "Traits" refer to the characteristics and personality traits that a character possesses, and determine the perspective and direction of their opinions in a discussion.

[0480] "Multiple perspectives" refers to opinions from different backgrounds and ways of thinking, in order to deepen overall understanding.

[0481] A "generative AI model" refers to artificial intelligence that generates characters based on user input and settings.

[0482] A "prompt" is a sentence or question that is input to a generative AI model to obtain a specific output.

[0483] "Server" refers to a computer system that processes data, receives and stores data, generates characters, and develops discussions within the system.

[0484] "Terminal" refers to a device that allows users to input ideas and participate in discussions in real time.

[0485] "User" refers to a person who uses the system to input ideas and participate in discussions.

[0486] A "database" refers to a data storage system for storing ideas and discussions.

[0487] This invention is a system that supports the creation of high-quality ideas and optimal decision-making by having virtual characters discuss ideas input by users. This system operates as follows between users, terminals, and a server.

[0488] 1. User Input Processing

[0489] The user inputs their idea into a dedicated input field on the device. For example, they can input an idea such as "I'm thinking of a new marketing strategy." The device receives the user's input and sends it to the server, which receives the idea.

[0490] 2. Receiving ideas

[0491] The server receives ideas submitted by users, which are then formatted in the system into a suitable format and stored in a database for future reference.

[0492] 3. Character Creation and Customization

[0493] The server uses a generative AI model to automatically generate a character based on the user's ideas. The generated character is set with characteristics such as "bold," "cautious," "balancer," and "person with a unique perspective." The server then presents the user with character customization options. For example, a setting is possible to make a cautious character even more logical. The user customizes the character's characteristics using their device, and the device sends the customization settings to the server. The server then resets the character's attributes based on the received settings.

[0494] 4. Start a virtual discussion

[0495] Once the characters are properly configured, the server will start a virtual discussion between them. The server will then communicate the user's ideas as the topic of discussion to the characters. Each character will then express their opinions from multiple perspectives based on their own characteristics.

[0496] 5. Discussion development and real-time user participation

[0497] While the discussion is in progress, users can add opinions and questions in real time through their devices. For example, they can ask, "What are some ways to further expand this strategy?" The devices send the users' opinions and questions to the server, which then relays them to the characters to develop the discussion.

[0498] 6. Summary and conclusion of the discussion

[0499] Once the discussion is over, the server integrates and analyzes the opinions of the characters and users, summarizing key points. It then generates a final conclusion and recommended actions, which are presented to the user. For example, the conclusion could be, "As a cautious approach, we will first conduct a trial introduction in certain areas, and then consider a full rollout based on the results." The device displays the conclusion from the server to the user.

[0500] Specific examples

[0501] If a user types, "I'm thinking about a new social media campaign," the device sends the idea to the server. The server formats and saves the received idea. The server then generates characters: "Bold," "Cautious," "Balancer," and "People with Unique Perspectives." The server presents the user with character customization options, which the user can then configure.

[0502] Once setup is complete, the server will communicate ideas to the characters and begin a discussion. Characters will express their opinions based on their individual characteristics. For example, a bold character might say, "This marketing strategy is very innovative, but we should also consider the risks," while a cautious character might say, "We should first test it in a few areas to mitigate the risks."

[0503] During the discussion, the user can add a question such as, "What is the best way to expand on this strategy?" The device sends the question to the server, which then passes it on to the character, further developing the discussion.

[0504] Finally, the server oversees the discussion and generates a conclusion that "we will first conduct a small-scale test campaign and consider full deployment based on the results," and presents this to the user. The terminal then displays this conclusion to the user.

[0505] Prompt Sentence Examples

[0506] An example of an input prompt for the generative AI model is, "Based on the following characters, please generate opinions for each of the new social media campaigns the user is considering. The characters are 'Bold', 'Cautious', 'Balancer', and 'Someone with a Unique Perspective'. Please state your opinions from multiple perspectives."

[0507] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0508] Step 1: A user inputs an idea into a dedicated input field on the terminal. For example, the user inputs the idea "I'm thinking of a new marketing strategy." The input idea is sent to the server by the terminal.

[0509] Input: User Ideas

[0510] Output: Sending ideas to the server

[0511] Step 2: The server receives the ideas sent by the users, formats them into the appropriate format within the system, and stores them in the database.

[0512] Input: Ideas sent from your device

[0513] Output: Formatted ideas, ideas stored in a database

[0514] Step 3: The server uses the generative AI model to automatically generate a character based on the user's idea. The generated character is given characteristics such as "bold," "cautious," "balancer," and "person with a unique perspective."

[0515] Input: Formatted Idea

[0516] Output: The generated character

[0517] Step 4: The server presents the user with character customization options. The user customizes the character's characteristics using the device. For example, the user can set "more logical cautious characters." The device sends the user's customization settings to the server. The server resets the character's attributes based on the received settings.

[0518] Input: Generated character, user customization settings

[0519] Output: Reconfigured character

[0520] Step 5: The server communicates the user's idea to the appropriately configured characters and starts a discussion. The characters express their opinions from multiple perspectives based on their characteristics.

[0521] Input: Reconfigured characters, user ideas

[0522] Output: Discussion between characters, development of opinions

[0523] Step 6: While the discussion is ongoing, users can add their opinions and questions in real time through their devices. For example, they can add a question like, "What are some ways to further expand this strategy?" The user's opinions and questions are sent to the server by their devices. The server then relays them to the characters, allowing the discussion to develop.

[0524] Input: User comments and questions

[0525] Output: Updated discussion, additional character opinions

[0526] Step 7: Once the discussion is over, the server integrates and analyzes the opinions of the characters and the user, summarizing the key points. It generates a final conclusion and recommended actions, which are presented to the user. For example, it could suggest a cautious approach: "We will first conduct a trial introduction in certain areas, and then consider a full rollout based on the results." The device displays the conclusion from the server to the user.

[0527] Input: Character and user opinions

[0528] Output: Summary of key points, final conclusion

[0529] The above are the specific processing steps of this system.

[0530] (Application example 1)

[0531] 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."

[0532] In modern brick-and-mortar stores, developing effective marketing strategies is extremely important, but it is not easy to efficiently hold discussions from multiple perspectives and generate high-quality ideas. Furthermore, the difficulty of adding opinions or questions in real time can hinder rapid decision-making. To solve these issues, a system is needed in which a variety of characters can hold discussions and users can participate in the process in real time.

[0533] 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.

[0534] In this invention, the server includes means for receiving ideas input by users, means for generating characters based on the ideas, means for holding discussions between the characters from multiple perspectives, means for users to add opinions and questions to the discussions in real time, means for generating conclusions based on the discussions and presenting them to users, and means including application examples for devising marketing strategies for physical stores. This allows discussions to be held efficiently from multiple perspectives, allows users to participate in the process in real time, and makes it possible to quickly create high-quality ideas.

[0535] A "user" is someone who uses the system to input ideas and participate in discussions.

[0536] "Ideas" are thoughts and suggestions about new marketing or sales strategies that users provide to the system.

[0537] A "character" is a virtual person that is generated based on the user's ideas and that engages in discussions from multiple perspectives.

[0538] "Multifaceted perspectives" means expressing opinions from a variety of different positions and perspectives.

[0539] A "discussion" is a process in which characters exchange ideas.

[0540] "Real-time" means that users can participate in the discussion immediately and add their opinions or questions.

[0541] A "conclusion" is a final opinion or recommended action that results from a discussion.

[0542] "Presenting" is the act of displaying or communicating a conclusion to a user.

[0543] A "brick and mortar store" is a place of sale that exists in a physical location and where customers can visit and purchase products.

[0544] A "marketing strategy" is a plan or method for effectively providing products or services to customers.

[0545] An "application" is a method or process that specifically implements an invention in a particular field or situation.

[0546] The term "system" is a general term for information processing means and its components for realizing the functions of the present invention.

[0547] This invention is a system that supports the creation of high-quality ideas and optimal decision-making by having characters discuss ideas input by users. This system is particularly useful as a tool for devising marketing strategies for brick-and-mortar stores.

[0548] System Configuration

[0549] This system has six main functions: user input processing, idea reception, character creation and customization, virtual discussion initiation, discussion development and real-time user participation, and discussion summary and conclusion. These functions are explained in detail below.

[0550] 1. User Input Processing

[0551] The user can input their own idea in a dedicated input field. For example, they can input an idea such as "I'm thinking of creating a new loyalty program." The terminal then sends this input idea to the server.

[0552] 2. Receiving ideas

[0553] The server receives the ideas sent by the users, formats them into an appropriate format, and stores them in a database. These stored ideas are the basis for character generation.

[0554] 3. Character Creation and Customization

[0555] The server uses a generative AI model to automatically generate characters based on the user's ideas. The generated characters are set with characteristics such as "bold," "cautious," "balancer," and "person with a unique perspective." The server presents the user with character customization options, allowing the user to change the characteristics. For example, a setting can be made to "make cautious characters even more logical."

[0556] 4. Start a virtual discussion

[0557] Once the characters are properly configured, the server initiates a virtual discussion between them. The server presents the user's ideas as topics for discussion to the characters. The characters then exchange opinions from multiple perspectives based on their individual characteristics.

[0558] 5. Discussion development and real-time user participation

[0559] As the discussion progresses, users can add their opinions and questions in real time through their devices. For example, they can ask questions such as, "What impact does this program have on customers?" The devices then send the opinions and questions added by the users to the server, which then relays them to the characters to further develop the discussion.

[0560] 6. Summary and conclusion of the discussion

[0561] Once the discussion is complete, the server integrates and analyzes the opinions of the characters and users, summarizing the key points. It then generates a final conclusion and recommended actions, which are presented to the user. For example, it could suggest that a small-scale test campaign should be conducted first, and then a full rollout should be considered based on the results.

[0562] Specific examples

[0563] For example, if a store manager inputs, "We're thinking about a new loyalty program," characters generated based on that idea will discuss the idea from each perspective. The "bold" group is expected to say, "This program is very innovative, but we should also consider the risks," while the "cautious" group is expected to say, "We should first introduce it on a trial basis in a limited area to mitigate the risks." During this time, the user can insert an additional question, such as, "What impact will this program have on customers?" Finally, the server presents the user with a recommended action: "As a cautious approach, we will first introduce it on a trial basis in a limited area and then consider rolling it out globally based on the results."

[0564] Hardware and software used

[0565] The system uses the following hardware and software:

[0566] Hardware: Servers, user devices (smartphones, tablets, PCs)

[0567] Software: Flask (web framework), OpenAI API (generative AI model)

[0568] An example prompt for the generative AI model we will use:

[0569] Generate a character to discuss a user idea: 'I'm thinking about a new loyalty program.'

[0570] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0571] Step 1:

[0572] The user inputs ideas about marketing and sales strategies into a dedicated input field. For example, the user inputs an idea such as "I'm thinking about a new loyalty program." The input data is sent from the user terminal to the server.

[0573] Step 2:

[0574] The server receives ideas sent by users, formats them into an appropriate format, and stores them in a database. Specifically, the server formats the text data and processes it to fit into existing data structures.

[0575] Step 3:

[0576] The server uses a generative AI model to automatically generate a character based on the user's idea. The generated character is set with characteristics such as "bold," "cautious," "balancer," and "person with a unique perspective." To generate the character, a prompt such as "Generate a character that discusses the user's idea: 'We are thinking of a new loyalty program.'" is input into the generative AI model. In this process, the character's attributes are determined by data calculation based on the input idea, and character setting data is obtained as the output.

[0577] Step 4:

[0578] The server presents the generated character to the user and provides options for customizing the character's characteristics. For example, the user can customize the character to make it more logical. The customization data is then sent back to the server from the user's device. At this stage, the character's attribute data is recalculated based on the user's customization input, and the character profile is updated.

[0579] Step 5:

[0580] The server initiates a virtual discussion using customized characters. The server presents the user's ideas as discussion topics to the characters, who then express their opinions based on their individual characteristics. Here, the user's ideas and character profiles are used as input data, and the text data of the discussion is generated as output.

[0581] Step 6:

[0582] Users can participate in the discussion in real time through their devices and submit additional opinions or questions. For example, they can add a question such as, "What impact does this program have on customers?" This input data is sent from the user's device to the server and integrated with the text data of the discussion.

[0583] Step 7:

[0584] The server receives additional comments and questions from users and transmits them to the characters to further develop the discussion. The input data includes additional comments and questions from users, and the characters generate text data for the additional discussion based on them.

[0585] Step 8:

[0586] Once the discussion is over, the server integrates and analyzes the opinions of the characters and users to generate conclusions and recommended actions. Using a generative AI model, it creates output data for the user, such as a conclusion to "first conduct a small-scale test campaign and consider overall expansion based on the results."

[0587] Step 9:

[0588] The server presents the final conclusion and recommended actions to the user. The user terminal receives the output data from the server and displays the conclusion and recommended actions to the user.

[0589] 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.

[0590] The present invention combines a system in which virtual characters develop discussions based on ideas input by users, supporting the creation of high-quality ideas and optimal decision-making from multiple perspectives, with an emotion engine that recognizes the user's emotions.

[0591] System Configuration

[0592] 1. User Input Processing

[0593] The user inputs his / her idea into a dedicated input field on the terminal. For example, the user inputs the idea, "I'm thinking of a new marketing strategy." The terminal then transmits the input idea to the server.

[0594] 2. Receiving ideas

[0595] The server receives the ideas sent by the users, formats them into an appropriate format, and stores them in a database.

[0596] 3. Character Creation and Customization

[0597] The server uses an AI model to automatically generate a character based on the user's ideas. The generated character is set with characteristics such as "bold," "cautious," "balancer," and "person with a unique perspective." The server presents character customization options to the user, and the user customizes the character's characteristics. For example, a setting can be made to make a cautious character even more logical. The device sends the user's customization settings to the server, and the server resets the character's attributes.

[0598] 4. Start a virtual discussion

[0599] Once the characters are properly configured, the server starts a virtual discussion between them. The user presents their ideas to the characters as the topic of the discussion. The characters then exchange opinions from multiple perspectives based on their own characteristics.

[0600] 5. Use of Emotion Engine

[0601] The server uses an emotion engine to analyze the user's emotional state from the input content. For example, the server detects from the input text whether the user is feeling optimistic, pessimistic, stressed, etc. The emotion engine uses a text analysis algorithm to score the emotional state.

[0602] 6. Emotion-based dialogue adjustment

[0603] The server adjusts the character's responses based on the user's emotional state analyzed by the emotion engine. For example, if the user is feeling stressed, the server changes the character's conversation style to be more calm and supportive, allowing the user to relax and participate in the discussion.

[0604] 7. Real-time user participation

[0605] As the discussion progresses, users can add opinions and questions in real time through their devices. For example, they can ask, "What are some ways to further expand this strategy?" The devices send the opinions and questions added by the users to the server, which then relays them to the characters to further develop the discussion.

[0606] 8. Summary and conclusion of the discussion

[0607] Once the discussion is complete, the server integrates and analyzes the opinions of the characters and the user to summarize the key points. This analysis also takes into account emotional data. The server generates a final conclusion and recommended actions, which it presents to the user. For example, the server could suggest, "First, conduct a small-scale test campaign, and then consider expanding the campaign to its entire scope based on the results." The device displays the conclusion from the server to the user.

[0608] Specific examples

[0609] When a user types, "I'm thinking about a new social media campaign," the device sends the idea to the server. The server receives the idea, formats it into the appropriate format, and saves it. The server then automatically generates characters with the following characteristics: "Bold," "Cautious," "Balancer," and "People with Unique Perspectives." The server then presents the user with character customization options (e.g., making the Cautious character even more logical), and the user configures them.

[0610] Once setup is complete, the server will initiate a discussion with the character and use its emotion engine to analyze the user's emotional state. For example, if the character senses stress from the text the user types, it will adopt a calmer, more supportive dialogue style. Meanwhile, the user can add opinions or questions in real time, such as "What are some ways to further expand this strategy?" The device then sends this information to the server, which then relays it to the character to further develop the discussion.

[0611] Finally, the server synthesizes the discussions and generates a conclusion based on the emotional data. The conclusion could be something like, "We'll start with a small-scale test campaign and consider expanding it to the whole system based on the results." The device displays this conclusion to the user, who can then decide on their next course of action.

[0612] As described above, by combining an emotion engine, the present invention provides a high-quality discussion and decision-making process that also takes into account the user's emotional state.

[0613] The processing flow will be explained below.

[0614] Step 1:

[0615] The user inputs his / her idea into a dedicated input field on the terminal. For example, the user inputs an idea such as "I'm thinking of a new marketing strategy."

[0616] Step 2:

[0617] The device sends the input idea to the server, along with additional information such as the user ID and a timestamp.

[0618] Step 3:

[0619] The server receives ideas sent by users. When an idea is received, it checks the data format, converts it into an appropriate format, and stores it in a database.

[0620] Step 4:

[0621] The server uses an AI model to automatically generate characters based on the user's ideas. The generated characters are given characteristics such as "bold," "cautious," "balancer," and "person with a unique perspective." These characters are given detailed attributes such as names, personalities, and dialogue styles.

[0622] Step 5:

[0623] The server presents the detailed attributes of the generated character to the user via the terminal. The user can check the character's characteristics and customize them as needed. For example, a setting such as "make the cautious character even more logical" is possible.

[0624] Step 6:

[0625] The user checks the presented character's characteristics and customizes them as necessary. The terminal then transmits the customization settings to the server.

[0626] Step 7:

[0627] The server receives the customization settings sent by the user, resets the character's attributes, and prepares to start a discussion using the reset character.

[0628] Step 8:

[0629] The server starts a virtual discussion using appropriately configured characters. Users provide the characters with ideas as topics for discussion. The characters then exchange opinions from multiple perspectives based on their own characteristics.

[0630] Step 9:

[0631] The server uses an emotion engine to analyze the user's input in real time to determine their emotional state, for example, scoring their text input to determine whether they are optimistic, pessimistic, stressful, etc.

[0632] Step 10:

[0633] The server adjusts the character's responses based on the user's emotional state as analyzed by the emotion engine: for example, if the user is stressed, the character's interaction style may be changed to be more calm and supportive.

[0634] Step 11:

[0635] Users can watch the discussion unfold in real time and add their comments or questions, such as, "What are some ways to expand on this strategy?"

[0636] Step 12:

[0637] The terminal sends the opinions and questions added by the user to the server, including the discussion topic ID and user ID.

[0638] Step 13:

[0639] The server receives the user's opinions and questions and transmits them to the characters, who then respond to the user's questions and opinions and further develop the discussion.

[0640] Step 14:

[0641] The character (server) continues the discussion while incorporating the user's opinions and questions, which increases the depth of the discussion and further strengthens the multifaceted perspectives.

[0642] Step 15:

[0643] Once the server determines that the discussion has concluded, it integrates and analyzes the content of the discussion, taking into account the user's emotional data.

[0644] Step 16:

[0645] The server generates a final conclusion and recommended actions based on the summary of the discussions. For example, a conclusion could be, "First, conduct a small-scale test campaign, and then consider full deployment based on the results."

[0646] Step 17:

[0647] The server presents the generated conclusions to the user, including discussion points and recommended actions.

[0648] Step 18:

[0649] The terminal displays the conclusion from the server to the user, who can then decide on the next action based on this conclusion.

[0650] This system allows users to have discussions from multiple perspectives, supporting the creation of high-quality ideas and optimal decision-making. In addition, by utilizing an emotion engine, an interactive discussion environment is provided that takes into account the user's emotional state.

[0651] Example 2

[0652] 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."

[0653] Conventional idea generation and decision support systems have problems such as users feeling stressed or not being able to reach optimal ideas or conclusions because they do not take into account the emotional state of the user in their dialogue or discussion. Another problem is that they lack the flexibility to add user opinions or questions in real time.

[0654] 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.

[0655] In this invention, the server includes means for receiving ideas input by users, means for generating characters using a generative AI model, means for holding discussions between characters from multiple perspectives, means for analyzing the emotional state of users using an emotion engine and adjusting the responses of the characters, means for users to add opinions and questions in real time, and means for generating conclusions based on the discussions and presenting them to users. This enables users to have high-quality discussions that take into account their emotional state and to flexibly add opinions and questions in real time.

[0656] A "user" is someone who uses the system to input ideas and participate in the discussion and decision-making process.

[0657] "Ideas" refer to creative suggestions or thoughts that users enter into the input fields.

[0658] "Terminal" refers to the device that a user uses to access the system, input ideas, and participate in discussions.

[0659] The "server" refers to the core part of the system that receives ideas entered by users, generates characters, manages discussions, and presents the final conclusion.

[0660] A "generative AI model" refers to an artificial intelligence algorithm that automatically generates characters and arguments based on user ideas.

[0661] "Characters" refer to virtual personalities generated by generative AI models that express opinions from multiple perspectives.

[0662] "Emotion engine" refers to a program that analyzes a user's text input and determines the user's emotional state.

[0663] "Discussion" refers to the exchange of opinions and in-depth discussion of a topic between generated characters.

[0664] "Real-time" means that users can add their opinions or questions instantly, and that data is immediately reflected in the system.

[0665] "Conclusion" refers to the final recommended action or decision generated by the server as a result of the discussion and presented to the user.

[0666] "Customization" refers to a user changing a character's characteristics or behavior patterns.

[0667] The present invention combines a system in which virtual characters develop discussions based on ideas input by users, supporting the creation of high-quality ideas and optimal decision-making from multiple perspectives, with an emotion engine that recognizes the user's emotions.

[0668] System Configuration

[0669] 1. User Input Processing

[0670] A user inputs their idea into a dedicated input field on the device. For example, they might input "I'm thinking of a new marketing strategy." The device then takes this input data, formats it, and sends it to the server. For example, the device converts the input data into JSON format and sends it to the server as an HTTP POST request.

[0671] 2. Receiving ideas

[0672] The server receives ideas sent from the device. The received data is sanitized and checked for any invalid data. It is then formatted into a standard format and stored in a database. The server uses a database connection library to securely store idea data.

[0673] 3. Character Creation and Customization

[0674] The server uses a generative AI model (such as GPT-3) to automatically generate a character based on the user's idea. The generated character is set with characteristics such as "bold," "cautious," "balancer," and "person with a unique perspective." The server then sends options to the device to provide the user with character customization options. The user uses these customization options to adjust the character's characteristics. When the user operates a web form to select an option, the information is sent from the device to the server, and the character's attributes are reset.

[0675] As a specific example, the user can set "make cautious characters even more logical."

[0676] 4. Start a virtual discussion

[0677] Once the characters are ready, the server starts a virtual discussion between these characters. The user's ideas are communicated to the characters as the topic of the discussion. The characters then use the generative AI model to exchange diverse opinions based on their individual characteristics. Specifically, the server sends prompts to the generative AI model, and the responses are given to the characters in the form of a discussion.

[0678] An example prompt might be, "We're considering a new marketing strategy. How would the Bold approach it?"

[0679] 5. Use of Emotion Engine

[0680] The server uses an emotion engine to analyze the emotional state of the user's input. The analysis uses a text analysis algorithm to score the user's emotional state, such as optimistic, pessimistic, or stressful. Specifically, the server uses an emotion analysis library (e.g., an NLP library) to calculate the emotion score of the text.

[0681] 6. Emotion-based dialogue adjustment

[0682] The server adjusts the character's responses based on the analysis results of the emotion engine. For example, if the user is feeling stressed, the character's dialogue style will be changed to a more calm and supportive one. Specifically, the server changes the tone and content of the response message according to the emotion score and sets it as the character's lines.

[0683] 7. Real-time user participation

[0684] While the discussion is in progress, users can add opinions and questions in real time using their device. For example, they can type a question like, "What are some ways to further expand this strategy?" into their device. The device then sends this input data to the server, which then relays the content to the character and continues the discussion. Specifically, the user's input is sent to the server in real time using a WebSocket or similar, and the server then sends a prompt to the generative AI model to obtain a response.

[0685] 8. Summary and conclusion of the discussion

[0686] Once the discussion is complete, the server integrates and analyzes the opinions of the characters and the user to summarize the main points. Emotional data is also taken into account in this analysis. The server generates a final conclusion and recommended actions, which are presented to the user. For example, the conclusion could be to "first conduct a small-scale test campaign and then consider expanding it to a larger scale based on the results." The device then displays the conclusion from the server to the user. Specifically, the server sends the generated conclusion data to the device in JSON format, and the device renders it in an easy-to-read format and displays it to the user.

[0687] By combining an emotion engine, the present invention provides a high-quality discussion and decision-making process that also takes into account the user's emotional state.

[0688] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0689] Step 1: User input

[0690] The user enters their idea in a dedicated input field. For example, they might enter "I'm thinking of a new marketing strategy." The entered text data is sent to the device. The device then converts this input data into JSON format and makes an HTTP POST request to send it to the server. The input is the user's idea, and the output is the idea data in JSON format.

[0691] Step 2: Receive and save ideas

[0692] The server receives idea data sent from the terminal. The received data is sanitized and checked to see if it contains any invalid data. The server then saves the data in a database. Specifically, the server analyzes the received idea data, formats it appropriately, and saves it through a database connection library. The input is the sanitized idea data, and the output is the record saved in the database.

[0693] Step 3: Character Generation

[0694] The server automatically generates characters using a generative AI model (such as GPT-3) based on the saved idea data. The generated characters are set with characteristics such as "bold," "cautious," "balancer," and "person with a unique perspective." The server sends a prompt to the generative AI model and generates a character based on the response. The input is the idea data and the prompt, and the output is the generated character.

[0695] Step 4: Character Customization

[0696] The server provides options for users to customize the characteristics of the generated character. To do this, it displays customization options on the terminal. The user configures settings through the terminal and sends them to the server. The server redefines the character's characteristics based on the received settings. The input is the user's customization settings, and the output is the customized character.

[0697] Step 5: Start a virtual discussion

[0698] The server starts a virtual discussion using a character customized by the user. The user's ideas are conveyed to the character as the topic of the discussion. The characters then express their opinions from multiple perspectives based on their individual characteristics. The server sends prompts to the generative AI model, and the responses are used as the characters' statements. The input is the customized character and the user's ideas, and the output is the content of the characters' discussion.

[0699] Step 6: Emotion analysis using the emotion engine

[0700] While the discussion is in progress, the server uses an emotion engine to analyze the user's emotional state. The input text data is scored using an emotion analysis library (e.g., an NLP library). The analysis result is output as data indicating the user's emotional state. The input is the user's text data, and the output is a score of the emotional state.

[0701] Step 7: Adjusting interactions based on emotion

[0702] The server adjusts the character's dialogue style based on the analysis results of the emotion engine. For example, if the user is feeling stressed, the character's responses will be changed to be more gentle and supportive. Depending on the emotion score, the tone and content of the response message will be changed and set as the character's lines. The input is the emotion score, and the output is the adjusted character's response.

[0703] Step 8: Real-time user participation

[0704] Users can add opinions and questions in real time as the discussion progresses. For example, they can input a question such as, "What are some ways to further expand this strategy?" The device sends this input data to the server, which then relays it to the character to continue the discussion. The input is the user's additional opinions and questions, and the output is the character's response.

[0705] Step 9: Summarizing the discussion and generating conclusions

[0706] After the discussion is complete, the server integrates the opinions of the characters and users and summarizes the key points. Emotional data is also taken into account in this analysis. The server generates a final conclusion and recommended actions and presents them to the user. For example, the conclusion could be, "First, conduct a small-scale test campaign and consider expanding it to the whole system based on the results." The input is the integrated discussion data and emotional data, and the output is a conclusion and recommended actions.

[0707] (Application example 2)

[0708] 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."

[0709] While conventional idea creation support systems can engage in multifaceted discussions on ideas entered by users, they do not take into account the user's emotional state in their responses or adjust the discussions, making it difficult to reduce the burden and stress on users.In addition, there has been a lack of systems that support high-quality decision-making that reflects opinions from diverse perspectives.

[0710] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for receiving ideas input by users, means for generating characters based on the ideas, means for holding discussions between characters from multiple perspectives, means for users to add opinions and questions in real time, means for generating conclusions based on the discussions and presenting them to users, means for generating responses of the characters using a generative AI model, means for analyzing user emotions using an emotion analysis engine, and means for adjusting the character responses based on the results of the emotion analysis engine. This enables high-quality discussions and decision-making support that take into account the emotional state of users.

[0711] "User" means an individual or company that uses the system to input ideas and participate in discussions.

[0712] A "character" is an artificial intelligence that is generated based on the user's ideas and has a virtual role to discuss things from multiple perspectives.

[0713] "Ideas" refer to creative proposals such as new strategies and product designs that users input into the system.

[0714] "Multifaceted perspectives" is a method in which characters with different opinions and approaches evaluate and discuss ideas from various angles.

[0715] "A means for adding comments and questions in real time" is a feature that provides an interface that allows users to instantly add new comments and questions to an ongoing discussion.

[0716] The "conclusion" is the result that integrates the characters' discussions and presents the best recommended action or next step for the user.

[0717] A "generative AI model" is an artificial intelligence algorithm that generates character responses based on the user's ideas.

[0718] An "emotion analysis engine" is a system that analyzes emotions from user input and scores the emotional state.

[0719] "Means to adjust responses" is a function that adjusts a character's responses and dialogue style based on the results of the emotion analysis engine.

[0720] This invention is a system in which a virtual character develops a discussion based on an idea input by a user and adjusts the response taking into account the user's emotional state. The system is implemented using the following hardware and software.

[0721] Hardware and software used

[0722] Hardware: Server machine, smartphone (used by users)

[0723] Software: Flask (a Python web framework), OpenAI GPT-3 (a generative AI model), sentiment analysis algorithms (e.g., NLTK and TextBlob)

[0724] System configuration

[0725] User Input Processing

[0726] The user inputs their idea into a dedicated input field on the smartphone. For example, they input the idea, "I'm thinking of a new marketing strategy." The device then sends the input idea to the server.

[0727] Receiving ideas

[0728] The server receives the ideas sent by the users, formats them into an appropriate format, and stores them in a database.

[0729] Character Generation and Customization

[0730] The server uses a generative AI model to automatically generate a character based on the user's ideas. The generated character is set with characteristics such as "bold," "cautious," "balancer," and "person with a unique perspective." The server presents character customization options to the user, allowing the user to customize the character's characteristics. For example, a setting can be made to make a "cautious character even more logical." The device sends the user's customization settings to the server, and the server resets the character's attributes.

[0731] Virtual discussion begins

[0732] Once the characters are properly configured, the server starts a virtual discussion between them. The user presents their ideas to the characters as the topic of the discussion. The characters then exchange opinions from multiple perspectives based on their own characteristics.

[0733] Use of emotion engine

[0734] The server uses an emotion analysis engine to analyze the user's emotional state from the input content. For example, it can detect whether the user is feeling optimistic, pessimistic, or stressed from the input text. The emotion engine analyzes the text and scores the emotional state.

[0735] Emotion-based dialogue adjustment

[0736] The server adjusts the character's responses based on the user's emotional state as analyzed by the emotion analysis engine. For example, if the user is feeling stressed, the server changes the character's conversation style to be more calm and supportive, allowing the user to relax and participate in the discussion.

[0737] Real-time user participation

[0738] As the discussion progresses, users can add their opinions and questions in real time via their smartphones. For example, they can ask, "What are some ways to further expand this strategy?" The device sends the opinions and questions added by the users to the server, which then relays them to the characters to further develop the discussion.

[0739] Summary and conclusion of the discussion

[0740] Once the discussion is complete, the server integrates and analyzes the opinions of the characters and the user to summarize the key points. This analysis also takes into account emotional data. The server generates a final conclusion and recommended actions, which are presented to the user. For example, the server could suggest, "First, conduct a small-scale test campaign, and then consider expanding the campaign to its full potential based on the results." The device displays the conclusion from the server to the user.

[0741] Specific examples

[0742] For example, if a user inputs an idea such as "I'm thinking of creating a campaign for a new seasonal limited edition product," the device sends the idea to the server. The server receives the idea, formats it in an appropriate format, and saves it. The server then automatically generates characters such as "Bold," "Cautious," "Balancer," and "People with Unique Perspectives," and users can customize their characteristics.

[0743] Once customization is complete, the server will initiate a discussion with the character and utilize an emotion engine to analyze the user's emotional state. For example, if the server detects that the user is feeling stressed from the text they type, the character will adopt a calmer, more supportive dialogue style.

[0744] Users can add opinions and questions in real time, such as "What are some ways to expand on this strategy?", and the device sends this information to the server, which then relays it to the characters to further develop the discussion.

[0745] Finally, the server synthesizes the discussions and generates a conclusion based on the emotional data. The conclusion could be something like, "We'll start with a small-scale test campaign and consider expanding it to the whole system based on the results." The device displays this conclusion to the user, who can then decide on their next course of action.

[0746] Prompt Sentence Examples

[0747] You're bold. Discuss this idea creatively: You're thinking about a campaign for a new seasonal product.

[0748] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0749] Step 1:

[0750] The user enters their idea into a dedicated input field on their smartphone. For example, they enter an idea such as, "I'm thinking of a new marketing strategy." The input data is in text format and is used in the next step.

[0751] Step 2:

[0752] The terminal sends the input idea to the server. The input here is the user's idea text, and the output is the idea text being received by the server through communication with the server. This makes the idea available throughout the system.

[0753] Step 3:

[0754] The server receives ideas sent by users, formats them into an appropriate format, and saves them in a database. Specifically, it converts the idea text into JSON format and stores it in the database. The input is the user's idea text, and the output is saving the formatted data in the database.

[0755] Step 4:

[0756] The server automatically generates a character based on the user's idea using a generative AI model. The generated character is set with characteristics such as "bold," "cautious," "balancer," and "person with a unique perspective." The input is the formatted idea text, and the output is the profile of the generated character.

[0757] Step 5:

[0758] The server presents the user with character customization options, allowing the user to customize the character's characteristics. For example, a setting can be made to "make a cautious character more logical." The input is the character's initial profile, and the output is the customized character profile.

[0759] Step 6:

[0760] The terminal sends the user's customization settings to the server, and the server resets the character's attributes. The input is the user's customization settings, and the output is the reset character profile.

[0761] Step 7:

[0762] Once the characters are properly configured, the server starts a virtual discussion between these characters. The user's ideas are presented to the characters as topics for discussion. The input is a customized character profile and idea text, and the output is the dialogue between the characters.

[0763] Step 8:

[0764] The server uses an emotion analysis engine to analyze the emotional state from the user's input. The input text is analyzed to generate an emotional score. For example, the input text is scored as an emotional state such as optimistic, pessimistic, or stressful. The input is the user's input text, and the output is the emotional state score.

[0765] Step 9:

[0766] The server adjusts the character's response based on the user's emotional state analyzed by the emotion analysis engine. For example, if the user is feeling stressed, the server changes the character's interaction style to be more calm and supportive. The input is the emotional state score, and the output is the adjusted character's response.

[0767] Step 10:

[0768] As the discussion progresses, users can add opinions and questions in real time via their smartphones. For example, they can ask, "What are some ways to further expand this strategy?" The input is the opinions and questions added by the users, and the output is the opinions and questions sent to the server.

[0769] Step 11:

[0770] The terminal sends the opinions and questions added by the user to the server, which then relays them to the characters to further develop the discussion. The input is the opinions and questions received in real time by the users, and the output is the content of the new discussion between the characters.

[0771] Step 12:

[0772] Once the discussion is complete, the server integrates and analyzes the opinions of the characters and the user, summarizing the key points. The input is the content of the discussion between the characters and the user's opinions, and the output is an integrated conclusion and recommended actions. The server then presents this conclusion to the user.

[0773] Step 13:

[0774] The terminal displays the conclusion received from the server to the user. For example, a conclusion could be "First, conduct a small-scale test campaign, and then consider a full rollout based on the results." This makes it easier for the user to decide on the next action. The input is the conclusion sent from the server, and the output is the final conclusion information displayed to the user.

[0775] 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.

[0776] 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.

[0777] 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.

[0778] [Third embodiment]

[0779] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0780] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0781] 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).

[0782] 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.

[0783] 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.

[0784] 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).

[0785] 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.

[0786] 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.

[0787] 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.

[0788] 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.

[0789] 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.

[0790] 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."

[0791] The present invention is a system in which a virtual character develops a discussion based on an idea input by a user, supporting the creation of high-quality ideas and optimal decision-making.

[0792] System Configuration

[0793] 1. User Input Processing

[0794] The user inputs his / her idea into a dedicated input field on the terminal. For example, the user can input an idea such as "I'm thinking of a new marketing strategy." The terminal then transmits the input idea to the server.

[0795] 2. Receiving ideas

[0796] The server receives ideas submitted by users, which are then formatted into a suitable format within the system and stored in a database.

[0797] 3. Character Creation and Customization

[0798] The server uses an AI model to automatically generate a character based on the user's ideas. The generated character is set with characteristics such as "bold," "cautious," "balancer," and "person with a unique perspective." The server presents character customization options to the user, allowing the user to customize the character's characteristics. For example, a setting can be made to make a cautious character even more logical. The device sends the user's customization settings to the server, and the server resets the character's attributes.

[0799] 4. Start a virtual discussion

[0800] Once the characters are properly configured, the server will initiate a virtual discussion between them. The server will then communicate the user's ideas as the topic of discussion to the characters. The characters will then exchange opinions from multiple perspectives based on their individual characteristics.

[0801] 5. Discussion development and real-time user participation

[0802] As the discussion progresses, users can add opinions and questions in real time through their devices. For example, they can ask, "What are some ways to further expand this strategy?" The devices send the opinions and questions added by the users to the server, which then relays them to the characters to further develop the discussion.

[0803] 6. Summary and conclusion of the discussion

[0804] Once the discussion is complete, the server integrates and analyzes the opinions of the characters and users, summarizing the key points. It then generates a final conclusion and recommended actions, which are presented to the user. For example, the server could suggest a cautious approach: "We will first conduct a trial introduction in certain areas, and then consider a full rollout based on the results." The terminal displays the conclusion from the server to the user.

[0805] Specific examples

[0806] When a user types, "I'm thinking about a new social media campaign," the device sends the idea to the server. The server receives the idea, formats it into the appropriate format, and saves it. The server then automatically generates characters with the following characteristics: "Bold," "Cautious," "Balancer," and "People with Unique Perspectives." The server then presents the user with character customization options (e.g., making the Cautious character even more logical), and the user configures them.

[0807] Once setup is complete, the server will present ideas to the characters and begin a discussion. Characters will express their opinions based on their individual characteristics. For example, a bold character might say, "This marketing strategy is very innovative, but we should also consider the risks," while a cautious character might say, "We should first test it in a few areas to mitigate the risks."

[0808] During this time, users can add questions through their devices, such as "What are some ways to further expand this strategy?" The device sends the question to the server, which then relays it to the characters, allowing the discussion to unfold further.

[0809] Finally, the server oversees the discussion and generates a conclusion that "we will first conduct a small-scale test campaign and consider full deployment based on the results," and presents this to the user. The terminal then displays this conclusion to the user.

[0810] As described above, the present invention provides a specific means for users to generate high-quality ideas from multiple perspectives and make optimal decisions.

[0811] The processing flow will be explained below.

[0812] Step 1:

[0813] The user inputs his / her idea into a dedicated input field on the terminal. For example, the user inputs an idea such as "I'm thinking of a new marketing strategy."

[0814] Step 2:

[0815] The device sends the input idea to the server, along with additional information such as the user ID and timestamp.

[0816] Step 3:

[0817] The server receives ideas sent by users. Upon receiving the ideas, it checks the data format and formats them appropriately. The formatted data is then stored in a database.

[0818] Step 4:

[0819] The server uses an AI model to automatically generate characters based on the user's ideas. Characters include "Bold," "Cautious," "Balancer," and "People with Unique Perspectives." Each character is given detailed attributes such as a name, personality, and dialogue style.

[0820] Step 5:

[0821] The server presents the detailed attributes of the generated character to the user. It also displays customization options so that the user can customize the character's characteristics. For example, it is possible to set "Make cautious characters more logical."

[0822] Step 6:

[0823] The user can review the proposed character's characteristics and customize them as needed, for example by adjusting the risk tolerance of a bold character.

[0824] Step 7:

[0825] The device sends the user's customization settings to the server, including the character ID and the changes.

[0826] Step 8:

[0827] The server receives the user's customization settings, resets the character's attributes, and prepares to start a discussion based on the reset character.

[0828] Step 9:

[0829] The server starts a virtual discussion using the characters that you set up. Users provide the characters with their ideas as topics for discussion. The characters then express their opinions from multiple perspectives based on their own characteristics.

[0830] Step 10:

[0831] Characters (servers) engage in discussions and exchange diverse opinions. For example, a bold character might say, "This marketing strategy is very innovative, but we need to consider the risks," while a cautious character might suggest, "We should first introduce it on a trial basis in certain areas to mitigate the risks."

[0832] Step 11:

[0833] Users can see the discussion unfold and add their thoughts and questions in real time, such as "What are some ways to expand on this strategy?"

[0834] Step 12:

[0835] The terminal sends the opinions and questions entered by the user to the server. The data sent includes the discussion topic ID and user ID.

[0836] Step 13:

[0837] The server receives opinions and questions from users and generates responses from characters, who then provide additional opinions based on the user's questions and further develop the discussion.

[0838] Step 14:

[0839] The character (server) continues the discussion, incorporating users' opinions and questions, which increases the depth of the discussion and allows for a multifaceted perspective.

[0840] Step 15:

[0841] Once the server determines that the discussion has concluded, it integrates and analyzes the content of the discussion and summarizes the key points. This analysis uses an AI model to extract and evaluate the key points of the discussion.

[0842] Step 16:

[0843] The server generates a final conclusion and recommended actions based on the summary of the discussions, such as "First, conduct a small-scale test campaign and consider full deployment based on the results."

[0844] Step 17:

[0845] The server presents the generated conclusions to the user, including discussion points and recommended actions.

[0846] Step 18:

[0847] The terminal displays the conclusion from the server to the user, who can then decide on the next action to take.

[0848] This system allows users to have discussions from multiple perspectives, making it easier to generate higher quality ideas. In addition, because users can participate in real time, the discussions progress in an interactive and flexible manner.

[0849] Example 1

[0850] 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."

[0851] Conventional idea creation support systems make it difficult for users to exchange opinions from multiple perspectives, resulting in a lack of discussions that allow users to generate high-quality ideas. They also lacked the functionality to add opinions and questions in real time, or to present the results of discussions in a unified manner. This made it difficult for users to obtain diverse opinions necessary for optimal decision-making. Furthermore, they lacked the functionality to save user opinions and the discussion process, making it impossible to refer to them later.

[0852] 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.

[0853] In this invention, the server includes a means for receiving ideas input by users, a means for generating characters, a means for users to customize the characteristics of the characters, a means for holding discussions between characters from multiple perspectives, a means for users to add opinions and questions to the discussions in real time, and a means for generating conclusions based on the discussions and presenting them to users. This allows users to obtain high-quality ideas from multiple perspectives and supports optimal decision-making. Furthermore, by using a generative AI model, more realistic characters can be generated, improving the quality of discussions. Including a database storage function for ideas and discussions facilitates future reference and enables continuous learning and improvement.

[0854] "Ideas" refer to new strategies, plans, and ideas entered by users.

[0855] A "character" is a virtual entity with its own characteristics that is generated based on the user's ideas and participates in discussions.

[0856] "Traits" refer to the characteristics and personality traits that a character possesses, and determine the perspective and direction of their opinions in a discussion.

[0857] "Multiple perspectives" refers to opinions from different backgrounds and ways of thinking, in order to deepen overall understanding.

[0858] A "generative AI model" refers to artificial intelligence that generates characters based on user input and settings.

[0859] A "prompt" is a sentence or question that is input to a generative AI model to obtain a specific output.

[0860] "Server" refers to a computer system that processes data, receives and stores data, generates characters, and develops discussions within the system.

[0861] "Terminal" refers to a device that allows users to input ideas and participate in discussions in real time.

[0862] "User" refers to a person who uses the system to input ideas and participate in discussions.

[0863] A "database" refers to a data storage system for storing ideas and discussions.

[0864] This invention is a system that supports the creation of high-quality ideas and optimal decision-making by having virtual characters discuss ideas input by users. This system operates as follows between users, terminals, and a server.

[0865] 1. User Input Processing

[0866] The user inputs their idea into a dedicated input field on the device. For example, they can input an idea such as "I'm thinking of a new marketing strategy." The device receives the user's input and sends it to the server, which receives the idea.

[0867] 2. Receiving ideas

[0868] The server receives ideas submitted by users, which are then formatted in the system into a suitable format and stored in a database for future reference.

[0869] 3. Character Creation and Customization

[0870] The server uses a generative AI model to automatically generate a character based on the user's ideas. The generated character is set with characteristics such as "bold," "cautious," "balancer," and "person with a unique perspective." The server then presents the user with character customization options. For example, a setting is possible to make a cautious character even more logical. The user customizes the character's characteristics using their device, and the device sends the customization settings to the server. The server then resets the character's attributes based on the received settings.

[0871] 4. Start a virtual discussion

[0872] Once the characters are properly configured, the server will start a virtual discussion between them. The server will then communicate the user's ideas as the topic of discussion to the characters. Each character will then express their opinions from multiple perspectives based on their own characteristics.

[0873] 5. Discussion development and real-time user participation

[0874] While the discussion is in progress, users can add opinions and questions in real time through their devices. For example, they can ask, "What are some ways to further expand this strategy?" The devices send the users' opinions and questions to the server, which then relays them to the characters to develop the discussion.

[0875] 6. Summary and conclusion of the discussion

[0876] Once the discussion is over, the server integrates and analyzes the opinions of the characters and users, summarizing key points. It then generates a final conclusion and recommended actions, which are presented to the user. For example, the conclusion could be, "As a cautious approach, we will first conduct a trial introduction in certain areas, and then consider a full rollout based on the results." The device displays the conclusion from the server to the user.

[0877] Specific examples

[0878] If a user types, "I'm thinking about a new social media campaign," the device sends the idea to the server. The server formats and saves the received idea. The server then generates characters: "Bold," "Cautious," "Balancer," and "People with Unique Perspectives." The server presents the user with character customization options, which the user can then configure.

[0879] Once setup is complete, the server will communicate ideas to the characters and begin a discussion. Characters will express their opinions based on their individual characteristics. For example, a bold character might say, "This marketing strategy is very innovative, but we should also consider the risks," while a cautious character might say, "We should first test it in a few areas to mitigate the risks."

[0880] During the discussion, the user can add a question such as, "What is the best way to expand on this strategy?" The device sends the question to the server, which then passes it on to the character, further developing the discussion.

[0881] Finally, the server oversees the discussion and generates a conclusion that "we will first conduct a small-scale test campaign and consider full deployment based on the results," and presents this to the user. The terminal then displays this conclusion to the user.

[0882] Prompt Sentence Examples

[0883] An example of an input prompt for the generative AI model is, "Based on the following characters, please generate opinions for each of the new social media campaigns the user is considering. The characters are 'Bold', 'Cautious', 'Balancer', and 'Someone with a Unique Perspective'. Please state your opinions from multiple perspectives."

[0884] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0885] Step 1: A user inputs an idea into a dedicated input field on the terminal. For example, the user inputs the idea "I'm thinking of a new marketing strategy." The input idea is sent to the server by the terminal.

[0886] Input: User Ideas

[0887] Output: Sending ideas to the server

[0888] Step 2: The server receives the ideas sent by the users, formats them into the appropriate format within the system, and stores them in the database.

[0889] Input: Ideas sent from your device

[0890] Output: Formatted ideas, ideas stored in a database

[0891] Step 3: The server uses the generative AI model to automatically generate a character based on the user's idea. The generated character is given characteristics such as "bold," "cautious," "balancer," and "person with a unique perspective."

[0892] Input: Formatted Idea

[0893] Output: The generated character

[0894] Step 4: The server presents the user with character customization options. The user customizes the character's characteristics using the device. For example, the user can set "more logical cautious characters." The device sends the user's customization settings to the server. The server resets the character's attributes based on the received settings.

[0895] Input: Generated character, user customization settings

[0896] Output: Reconfigured character

[0897] Step 5: The server communicates the user's idea to the appropriately configured characters and starts a discussion. The characters express their opinions from multiple perspectives based on their characteristics.

[0898] Input: Reconfigured characters, user ideas

[0899] Output: Discussion between characters, development of opinions

[0900] Step 6: While the discussion is ongoing, users can add their opinions and questions in real time through their devices. For example, they can add a question like, "What are some ways to further expand this strategy?" The user's opinions and questions are sent to the server by their devices. The server then relays them to the characters, allowing the discussion to develop.

[0901] Input: User comments and questions

[0902] Output: Updated discussion, additional character opinions

[0903] Step 7: Once the discussion is over, the server integrates and analyzes the opinions of the characters and the user, summarizing the key points. It generates a final conclusion and recommended actions, which are presented to the user. For example, it could suggest a cautious approach: "We will first conduct a trial introduction in certain areas, and then consider a full rollout based on the results." The device displays the conclusion from the server to the user.

[0904] Input: Character and user opinions

[0905] Output: Summary of key points, final conclusion

[0906] The above are the specific processing steps of this system.

[0907] (Application example 1)

[0908] 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."

[0909] In modern brick-and-mortar stores, developing effective marketing strategies is extremely important, but it is not easy to efficiently hold discussions from multiple perspectives and generate high-quality ideas. Furthermore, the difficulty of adding opinions or questions in real time can hinder rapid decision-making. To solve these issues, a system is needed in which a variety of characters can hold discussions and users can participate in the process in real time.

[0910] 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.

[0911] In this invention, the server includes means for receiving ideas input by users, means for generating characters based on the ideas, means for holding discussions between the characters from multiple perspectives, means for users to add opinions and questions to the discussions in real time, means for generating conclusions based on the discussions and presenting them to users, and means including application examples for devising marketing strategies for physical stores. This allows discussions to be held efficiently from multiple perspectives, allows users to participate in the process in real time, and makes it possible to quickly create high-quality ideas.

[0912] A "user" is someone who uses the system to input ideas and participate in discussions.

[0913] "Ideas" are thoughts and suggestions about new marketing or sales strategies that users provide to the system.

[0914] A "character" is a virtual person that is generated based on the user's ideas and that engages in discussions from multiple perspectives.

[0915] "Multifaceted perspectives" means expressing opinions from a variety of different positions and perspectives.

[0916] A "discussion" is a process in which characters exchange ideas.

[0917] "Real-time" means that users can participate in the discussion immediately and add their opinions or questions.

[0918] A "conclusion" is a final opinion or recommended action that results from a discussion.

[0919] "Presenting" is the act of displaying or communicating a conclusion to a user.

[0920] A "brick and mortar store" is a place of sale that exists in a physical location and where customers can visit and purchase products.

[0921] A "marketing strategy" is a plan or method for effectively providing products or services to customers.

[0922] An "application" is a method or process that specifically implements an invention in a particular field or situation.

[0923] The term "system" is a general term for information processing means and its components for realizing the functions of the present invention.

[0924] This invention is a system that supports the creation of high-quality ideas and optimal decision-making by having characters discuss ideas input by users. This system is particularly useful as a tool for devising marketing strategies for brick-and-mortar stores.

[0925] System Configuration

[0926] This system has six main functions: user input processing, idea reception, character creation and customization, virtual discussion initiation, discussion development and real-time user participation, and discussion summary and conclusion. These functions are explained in detail below.

[0927] 1. User Input Processing

[0928] The user can input their own idea in a dedicated input field. For example, they can input an idea such as "I'm thinking of creating a new loyalty program." The terminal then sends this input idea to the server.

[0929] 2. Receiving ideas

[0930] The server receives the ideas sent by the users, formats them into an appropriate format, and stores them in a database. These stored ideas are the basis for character generation.

[0931] 3. Character Creation and Customization

[0932] The server uses a generative AI model to automatically generate characters based on the user's ideas. The generated characters are set with characteristics such as "bold," "cautious," "balancer," and "person with a unique perspective." The server presents the user with character customization options, allowing the user to change the characteristics. For example, a setting can be made to "make cautious characters even more logical."

[0933] 4. Start a virtual discussion

[0934] Once the characters are properly configured, the server initiates a virtual discussion between them. The server presents the user's ideas as topics for discussion to the characters. The characters then exchange opinions from multiple perspectives based on their individual characteristics.

[0935] 5. Discussion development and real-time user participation

[0936] As the discussion progresses, users can add their opinions and questions in real time through their devices. For example, they can ask questions such as, "What impact does this program have on customers?" The devices then send the opinions and questions added by the users to the server, which then relays them to the characters to further develop the discussion.

[0937] 6. Summary and conclusion of the discussion

[0938] Once the discussion is complete, the server integrates and analyzes the opinions of the characters and users, summarizing the key points. It then generates a final conclusion and recommended actions, which are presented to the user. For example, it could suggest that a small-scale test campaign should be conducted first, and then a full rollout should be considered based on the results.

[0939] Specific examples

[0940] For example, if a store manager inputs, "We're thinking about a new loyalty program," characters generated based on that idea will discuss the idea from each perspective. The "bold" group is expected to say, "This program is very innovative, but we should also consider the risks," while the "cautious" group is expected to say, "We should first introduce it on a trial basis in a limited area to mitigate the risks." During this time, the user can insert an additional question, such as, "What impact will this program have on customers?" Finally, the server presents the user with a recommended action: "As a cautious approach, we will first introduce it on a trial basis in a limited area and then consider rolling it out globally based on the results."

[0941] Hardware and software used

[0942] The system uses the following hardware and software:

[0943] Hardware: Servers, user devices (smartphones, tablets, PCs)

[0944] Software: Flask (web framework), OpenAI API (generative AI model)

[0945] An example prompt for the generative AI model we will use:

[0946] Generate a character to discuss a user idea: 'I'm thinking about a new loyalty program.'

[0947] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0948] Step 1:

[0949] The user inputs ideas about marketing and sales strategies into a dedicated input field. For example, the user inputs an idea such as "I'm thinking about a new loyalty program." The input data is sent from the user terminal to the server.

[0950] Step 2:

[0951] The server receives ideas sent by users, formats them into an appropriate format, and stores them in a database. Specifically, the server formats the text data and processes it to fit into existing data structures.

[0952] Step 3:

[0953] The server uses a generative AI model to automatically generate a character based on the user's idea. The generated character is set with characteristics such as "bold," "cautious," "balancer," and "person with a unique perspective." To generate the character, a prompt such as "Generate a character that discusses the user's idea: 'We are thinking of a new loyalty program.'" is input into the generative AI model. In this process, the character's attributes are determined by data calculation based on the input idea, and character setting data is obtained as the output.

[0954] Step 4:

[0955] The server presents the generated character to the user and provides options for customizing the character's characteristics. For example, the user can customize the character to make it more logical. The customization data is then sent back to the server from the user's device. At this stage, the character's attribute data is recalculated based on the user's customization input, and the character profile is updated.

[0956] Step 5:

[0957] The server initiates a virtual discussion using customized characters. The server presents the user's ideas as discussion topics to the characters, who then express their opinions based on their individual characteristics. Here, the user's ideas and character profiles are used as input data, and the text data of the discussion is generated as output.

[0958] Step 6:

[0959] Users can participate in the discussion in real time through their devices and submit additional opinions or questions. For example, they can add a question such as, "What impact does this program have on customers?" This input data is sent from the user's device to the server and integrated with the text data of the discussion.

[0960] Step 7:

[0961] The server receives additional comments and questions from users and transmits them to the characters to further develop the discussion. The input data includes additional comments and questions from users, and the characters generate text data for the additional discussion based on them.

[0962] Step 8:

[0963] Once the discussion is over, the server integrates and analyzes the opinions of the characters and users to generate conclusions and recommended actions. Using a generative AI model, it creates output data for the user, such as a conclusion to "first conduct a small-scale test campaign and consider overall expansion based on the results."

[0964] Step 9:

[0965] The server presents the final conclusion and recommended actions to the user. The user terminal receives the output data from the server and displays the conclusion and recommended actions to the user.

[0966] 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.

[0967] The present invention combines a system in which virtual characters develop discussions based on ideas input by users, supporting the creation of high-quality ideas and optimal decision-making from multiple perspectives, with an emotion engine that recognizes the user's emotions.

[0968] System Configuration

[0969] 1. User Input Processing

[0970] The user inputs his / her idea into a dedicated input field on the terminal. For example, the user inputs the idea, "I'm thinking of a new marketing strategy." The terminal then transmits the input idea to the server.

[0971] 2. Receiving ideas

[0972] The server receives the ideas sent by the users, formats them into an appropriate format, and stores them in a database.

[0973] 3. Character Creation and Customization

[0974] The server uses an AI model to automatically generate a character based on the user's ideas. The generated character is set with characteristics such as "bold," "cautious," "balancer," and "person with a unique perspective." The server presents character customization options to the user, and the user customizes the character's characteristics. For example, a setting can be made to make a cautious character even more logical. The device sends the user's customization settings to the server, and the server resets the character's attributes.

[0975] 4. Start a virtual discussion

[0976] Once the characters are properly configured, the server starts a virtual discussion between them. The user presents their ideas to the characters as the topic of the discussion. The characters then exchange opinions from multiple perspectives based on their own characteristics.

[0977] 5. Use of Emotion Engine

[0978] The server uses an emotion engine to analyze the user's emotional state from the input content. For example, the server detects from the input text whether the user is feeling optimistic, pessimistic, stressed, etc. The emotion engine uses a text analysis algorithm to score the emotional state.

[0979] 6. Emotion-based dialogue adjustment

[0980] The server adjusts the character's responses based on the user's emotional state analyzed by the emotion engine. For example, if the user is feeling stressed, the server changes the character's conversation style to be more calm and supportive, allowing the user to relax and participate in the discussion.

[0981] 7. Real-time user participation

[0982] As the discussion progresses, users can add opinions and questions in real time through their devices. For example, they can ask, "What are some ways to further expand this strategy?" The devices send the opinions and questions added by the users to the server, which then relays them to the characters to further develop the discussion.

[0983] 8. Summary and conclusion of the discussion

[0984] Once the discussion is complete, the server integrates and analyzes the opinions of the characters and the user to summarize the key points. This analysis also takes into account emotional data. The server generates a final conclusion and recommended actions, which it presents to the user. For example, the server could suggest, "First, conduct a small-scale test campaign, and then consider expanding the campaign to its entire scope based on the results." The device displays the conclusion from the server to the user.

[0985] Specific examples

[0986] When a user types, "I'm thinking about a new social media campaign," the device sends the idea to the server. The server receives the idea, formats it into the appropriate format, and saves it. The server then automatically generates characters with the following characteristics: "Bold," "Cautious," "Balancer," and "People with Unique Perspectives." The server then presents the user with character customization options (e.g., making the Cautious character even more logical), and the user configures them.

[0987] Once setup is complete, the server will initiate a discussion with the character and use its emotion engine to analyze the user's emotional state. For example, if the character senses stress from the text the user types, it will adopt a calmer, more supportive dialogue style. Meanwhile, the user can add opinions or questions in real time, such as "What are some ways to further expand this strategy?" The device then sends this information to the server, which then relays it to the character to further develop the discussion.

[0988] Finally, the server synthesizes the discussions and generates a conclusion based on the emotional data. The conclusion could be something like, "We'll start with a small-scale test campaign and consider expanding it to the whole system based on the results." The device displays this conclusion to the user, who can then decide on their next course of action.

[0989] As described above, by combining an emotion engine, the present invention provides a high-quality discussion and decision-making process that also takes into account the user's emotional state.

[0990] The processing flow will be explained below.

[0991] Step 1:

[0992] The user inputs his / her idea into a dedicated input field on the terminal. For example, the user inputs an idea such as "I'm thinking of a new marketing strategy."

[0993] Step 2:

[0994] The device sends the input idea to the server, along with additional information such as the user ID and a timestamp.

[0995] Step 3:

[0996] The server receives ideas sent by users. When an idea is received, it checks the data format, converts it into an appropriate format, and stores it in a database.

[0997] Step 4:

[0998] The server uses an AI model to automatically generate characters based on the user's ideas. The generated characters are given characteristics such as "bold," "cautious," "balancer," and "person with a unique perspective." These characters are given detailed attributes such as names, personalities, and dialogue styles.

[0999] Step 5:

[1000] The server presents the detailed attributes of the generated character to the user via the terminal. The user can check the character's characteristics and customize them as needed. For example, a setting such as "make the cautious character even more logical" is possible.

[1001] Step 6:

[1002] The user checks the presented character's characteristics and customizes them as necessary. The terminal then transmits the customization settings to the server.

[1003] Step 7:

[1004] The server receives the customization settings sent by the user, resets the character's attributes, and prepares to start a discussion using the reset character.

[1005] Step 8:

[1006] The server starts a virtual discussion using appropriately configured characters. Users provide the characters with ideas as topics for discussion. The characters then exchange opinions from multiple perspectives based on their own characteristics.

[1007] Step 9:

[1008] The server uses an emotion engine to analyze the user's input in real time to determine their emotional state, for example, scoring their text input to determine whether they are optimistic, pessimistic, stressful, etc.

[1009] Step 10:

[1010] The server adjusts the character's responses based on the user's emotional state as analyzed by the emotion engine: for example, if the user is stressed, the character's interaction style may be changed to be more calm and supportive.

[1011] Step 11:

[1012] Users can watch the discussion unfold in real time and add their comments or questions, such as, "What are some ways to expand on this strategy?"

[1013] Step 12:

[1014] The terminal sends the opinions and questions added by the user to the server, including the discussion topic ID and user ID.

[1015] Step 13:

[1016] The server receives the user's opinions and questions and transmits them to the characters, who then respond to the user's questions and opinions and further develop the discussion.

[1017] Step 14:

[1018] The character (server) continues the discussion while incorporating the user's opinions and questions, which increases the depth of the discussion and further strengthens the multifaceted perspectives.

[1019] Step 15:

[1020] Once the server determines that the discussion has concluded, it integrates and analyzes the content of the discussion, taking into account the user's emotional data.

[1021] Step 16:

[1022] The server generates a final conclusion and recommended actions based on the summary of the discussions. For example, a conclusion could be, "First, conduct a small-scale test campaign, and then consider full deployment based on the results."

[1023] Step 17:

[1024] The server presents the generated conclusions to the user, including discussion points and recommended actions.

[1025] Step 18:

[1026] The terminal displays the conclusion from the server to the user, who can then decide on the next action based on this conclusion.

[1027] This system allows users to have discussions from multiple perspectives, supporting the creation of high-quality ideas and optimal decision-making. In addition, by utilizing an emotion engine, an interactive discussion environment is provided that takes into account the user's emotional state.

[1028] Example 2

[1029] 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."

[1030] Conventional idea generation and decision support systems have problems such as users feeling stressed or not being able to reach optimal ideas or conclusions because they do not take into account the emotional state of the user in their dialogue or discussion. Another problem is that they lack the flexibility to add user opinions or questions in real time.

[1031] 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.

[1032] In this invention, the server includes means for receiving ideas input by users, means for generating characters using a generative AI model, means for holding discussions between characters from multiple perspectives, means for analyzing the emotional state of users using an emotion engine and adjusting the responses of the characters, means for users to add opinions and questions in real time, and means for generating conclusions based on the discussions and presenting them to users. This enables users to have high-quality discussions that take into account their emotional state and to flexibly add opinions and questions in real time.

[1033] A "user" is someone who uses the system to input ideas and participate in the discussion and decision-making process.

[1034] "Ideas" refer to creative suggestions or thoughts that users enter into the input fields.

[1035] "Terminal" refers to the device that a user uses to access the system, input ideas, and participate in discussions.

[1036] The "server" refers to the core part of the system that receives ideas entered by users, generates characters, manages discussions, and presents the final conclusion.

[1037] A "generative AI model" refers to an artificial intelligence algorithm that automatically generates characters and arguments based on user ideas.

[1038] "Characters" refer to virtual personalities generated by generative AI models that express opinions from multiple perspectives.

[1039] "Emotion engine" refers to a program that analyzes a user's text input and determines the user's emotional state.

[1040] "Discussion" refers to the exchange of opinions and in-depth discussion of a topic between generated characters.

[1041] "Real-time" means that users can add their opinions or questions instantly, and that data is immediately reflected in the system.

[1042] "Conclusion" refers to the final recommended action or decision generated by the server as a result of the discussion and presented to the user.

[1043] "Customization" refers to a user changing a character's characteristics or behavior patterns.

[1044] The present invention combines a system in which virtual characters develop discussions based on ideas input by users, supporting the creation of high-quality ideas and optimal decision-making from multiple perspectives, with an emotion engine that recognizes the user's emotions.

[1045] System Configuration

[1046] 1. User Input Processing

[1047] A user inputs their idea into a dedicated input field on the device. For example, they might input "I'm thinking of a new marketing strategy." The device then takes this input data, formats it, and sends it to the server. For example, the device converts the input data into JSON format and sends it to the server as an HTTP POST request.

[1048] 2. Receiving ideas

[1049] The server receives ideas sent from the device. The received data is sanitized and checked for any invalid data. It is then formatted into a standard format and stored in a database. The server uses a database connection library to securely store idea data.

[1050] 3. Character Creation and Customization

[1051] The server uses a generative AI model (such as GPT-3) to automatically generate a character based on the user's idea. The generated character is set with characteristics such as "bold," "cautious," "balancer," and "person with a unique perspective." The server then sends options to the device to provide the user with character customization options. The user uses these customization options to adjust the character's characteristics. When the user operates a web form to select an option, the information is sent from the device to the server, and the character's attributes are reset.

[1052] As a specific example, the user can set "make cautious characters even more logical."

[1053] 4. Start a virtual discussion

[1054] Once the characters are ready, the server starts a virtual discussion between these characters. The user's ideas are communicated to the characters as the topic of the discussion. The characters then use the generative AI model to exchange diverse opinions based on their individual characteristics. Specifically, the server sends prompts to the generative AI model, and the responses are given to the characters in the form of a discussion.

[1055] An example prompt might be, "We're considering a new marketing strategy. How would the Bold approach it?"

[1056] 5. Use of Emotion Engine

[1057] The server uses an emotion engine to analyze the emotional state of the user's input. The analysis uses a text analysis algorithm to score the user's emotional state, such as optimistic, pessimistic, or stressful. Specifically, the server uses an emotion analysis library (e.g., an NLP library) to calculate the emotion score of the text.

[1058] 6. Emotion-based dialogue adjustment

[1059] The server adjusts the character's responses based on the analysis results of the emotion engine. For example, if the user is feeling stressed, the character's dialogue style will be changed to a more calm and supportive one. Specifically, the server changes the tone and content of the response message according to the emotion score and sets it as the character's lines.

[1060] 7. Real-time user participation

[1061] While the discussion is in progress, users can add opinions and questions in real time using their device. For example, they can type a question like, "What are some ways to further expand this strategy?" into their device. The device then sends this input data to the server, which then relays the content to the character and continues the discussion. Specifically, the user's input is sent to the server in real time using a WebSocket or similar, and the server then sends a prompt to the generative AI model to obtain a response.

[1062] 8. Summary and conclusion of the discussion

[1063] Once the discussion is complete, the server integrates and analyzes the opinions of the characters and the user to summarize the main points. Emotional data is also taken into account in this analysis. The server generates a final conclusion and recommended actions, which are presented to the user. For example, the conclusion could be to "first conduct a small-scale test campaign and then consider expanding it to a larger scale based on the results." The device then displays the conclusion from the server to the user. Specifically, the server sends the generated conclusion data to the device in JSON format, and the device renders it in an easy-to-read format and displays it to the user.

[1064] By combining an emotion engine, the present invention provides a high-quality discussion and decision-making process that also takes into account the user's emotional state.

[1065] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1066] Step 1: User input

[1067] The user enters their idea in a dedicated input field. For example, they might enter "I'm thinking of a new marketing strategy." The entered text data is sent to the device. The device then converts this input data into JSON format and makes an HTTP POST request to send it to the server. The input is the user's idea, and the output is the idea data in JSON format.

[1068] Step 2: Receive and save ideas

[1069] The server receives idea data sent from the terminal. The received data is sanitized and checked to see if it contains any invalid data. The server then saves the data in a database. Specifically, the server analyzes the received idea data, formats it appropriately, and saves it through a database connection library. The input is the sanitized idea data, and the output is the record saved in the database.

[1070] Step 3: Character Generation

[1071] The server automatically generates characters using a generative AI model (such as GPT-3) based on the saved idea data. The generated characters are set with characteristics such as "bold," "cautious," "balancer," and "person with a unique perspective." The server sends a prompt to the generative AI model and generates a character based on the response. The input is the idea data and the prompt, and the output is the generated character.

[1072] Step 4: Character Customization

[1073] The server provides options for users to customize the characteristics of the generated character. To do this, it displays customization options on the terminal. The user configures settings through the terminal and sends them to the server. The server redefines the character's characteristics based on the received settings. The input is the user's customization settings, and the output is the customized character.

[1074] Step 5: Start a virtual discussion

[1075] The server starts a virtual discussion using a character customized by the user. The user's ideas are conveyed to the character as the topic of the discussion. The characters then express their opinions from multiple perspectives based on their individual characteristics. The server sends prompts to the generative AI model, and the responses are used as the characters' statements. The input is the customized character and the user's ideas, and the output is the content of the characters' discussion.

[1076] Step 6: Emotion analysis using the emotion engine

[1077] While the discussion is in progress, the server uses an emotion engine to analyze the user's emotional state. The input text data is scored using an emotion analysis library (e.g., an NLP library). The analysis result is output as data indicating the user's emotional state. The input is the user's text data, and the output is a score of the emotional state.

[1078] Step 7: Adjusting interactions based on emotion

[1079] The server adjusts the character's dialogue style based on the analysis results of the emotion engine. For example, if the user is feeling stressed, the character's responses will be changed to be more gentle and supportive. Depending on the emotion score, the tone and content of the response message will be changed and set as the character's lines. The input is the emotion score, and the output is the adjusted character's response.

[1080] Step 8: Real-time user participation

[1081] Users can add opinions and questions in real time as the discussion progresses. For example, they can input a question such as, "What are some ways to further expand this strategy?" The device sends this input data to the server, which then relays it to the character to continue the discussion. The input is the user's additional opinions and questions, and the output is the character's response.

[1082] Step 9: Summarizing the discussion and generating conclusions

[1083] After the discussion is complete, the server integrates the opinions of the characters and users and summarizes the key points. Emotional data is also taken into account in this analysis. The server generates a final conclusion and recommended actions and presents them to the user. For example, the conclusion could be, "First, conduct a small-scale test campaign and consider expanding it to the whole system based on the results." The input is the integrated discussion data and emotional data, and the output is a conclusion and recommended actions.

[1084] (Application example 2)

[1085] 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."

[1086] While conventional idea creation support systems can engage in multifaceted discussions on ideas entered by users, they do not take into account the user's emotional state in their responses or adjust the discussions, making it difficult to reduce the burden and stress on users.In addition, there has been a lack of systems that support high-quality decision-making that reflects opinions from diverse perspectives.

[1087] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for receiving ideas input by users, means for generating characters based on the ideas, means for holding discussions between characters from multiple perspectives, means for users to add opinions and questions in real time, means for generating conclusions based on the discussions and presenting them to users, means for generating responses of the characters using a generative AI model, means for analyzing user emotions using an emotion analysis engine, and means for adjusting the character responses based on the results of the emotion analysis engine. This enables high-quality discussions and decision-making support that take into account the emotional state of users.

[1088] "User" means an individual or company that uses the system to input ideas and participate in discussions.

[1089] A "character" is an artificial intelligence that is generated based on the user's ideas and has a virtual role to discuss things from multiple perspectives.

[1090] "Ideas" refer to creative proposals such as new strategies and product designs that users input into the system.

[1091] "Multifaceted perspectives" is a method in which characters with different opinions and approaches evaluate and discuss ideas from various angles.

[1092] "A means for adding comments and questions in real time" is a feature that provides an interface that allows users to instantly add new comments and questions to an ongoing discussion.

[1093] The "conclusion" is the result that integrates the characters' discussions and presents the best recommended action or next step for the user.

[1094] A "generative AI model" is an artificial intelligence algorithm that generates character responses based on the user's ideas.

[1095] An "emotion analysis engine" is a system that analyzes emotions from user input and scores the emotional state.

[1096] "Means to adjust responses" is a function that adjusts a character's responses and dialogue style based on the results of the emotion analysis engine.

[1097] This invention is a system in which a virtual character develops a discussion based on an idea input by a user and adjusts the response taking into account the user's emotional state. The system is implemented using the following hardware and software.

[1098] Hardware and software used

[1099] Hardware: Server machine, smartphone (used by users)

[1100] Software: Flask (a Python web framework), OpenAI GPT-3 (a generative AI model), sentiment analysis algorithms (e.g., NLTK and TextBlob)

[1101] System configuration

[1102] User Input Processing

[1103] The user inputs their idea into a dedicated input field on the smartphone. For example, they input the idea, "I'm thinking of a new marketing strategy." The device then sends the input idea to the server.

[1104] Receiving ideas

[1105] The server receives the ideas sent by the users, formats them into an appropriate format, and stores them in a database.

[1106] Character Generation and Customization

[1107] The server uses a generative AI model to automatically generate a character based on the user's ideas. The generated character is set with characteristics such as "bold," "cautious," "balancer," and "person with a unique perspective." The server presents character customization options to the user, allowing the user to customize the character's characteristics. For example, a setting can be made to make a "cautious character even more logical." The device sends the user's customization settings to the server, and the server resets the character's attributes.

[1108] Virtual discussion begins

[1109] Once the characters are properly configured, the server starts a virtual discussion between them. The user presents their ideas to the characters as the topic of the discussion. The characters then exchange opinions from multiple perspectives based on their own characteristics.

[1110] Use of emotion engine

[1111] The server uses an emotion analysis engine to analyze the user's emotional state from the input content. For example, it can detect whether the user is feeling optimistic, pessimistic, or stressed from the input text. The emotion engine analyzes the text and scores the emotional state.

[1112] Emotion-based dialogue adjustment

[1113] The server adjusts the character's responses based on the user's emotional state as analyzed by the emotion analysis engine. For example, if the user is feeling stressed, the server changes the character's conversation style to be more calm and supportive, allowing the user to relax and participate in the discussion.

[1114] Real-time user participation

[1115] As the discussion progresses, users can add their opinions and questions in real time via their smartphones. For example, they can ask, "What are some ways to further expand this strategy?" The device sends the opinions and questions added by the users to the server, which then relays them to the characters to further develop the discussion.

[1116] Summary and conclusion of the discussion

[1117] Once the discussion is complete, the server integrates and analyzes the opinions of the characters and the user to summarize the key points. This analysis also takes into account emotional data. The server generates a final conclusion and recommended actions, which are presented to the user. For example, the server could suggest, "First, conduct a small-scale test campaign, and then consider expanding the campaign to its full potential based on the results." The device displays the conclusion from the server to the user.

[1118] Specific examples

[1119] For example, if a user inputs an idea such as "I'm thinking of creating a campaign for a new seasonal limited edition product," the device sends the idea to the server. The server receives the idea, formats it in an appropriate format, and saves it. The server then automatically generates characters such as "Bold," "Cautious," "Balancer," and "People with Unique Perspectives," and users can customize their characteristics.

[1120] Once customization is complete, the server will initiate a discussion with the character and utilize an emotion engine to analyze the user's emotional state. For example, if the server detects that the user is feeling stressed from the text they type, the character will adopt a calmer, more supportive dialogue style.

[1121] Users can add opinions and questions in real time, such as "What are some ways to expand on this strategy?", and the device sends this information to the server, which then relays it to the characters to further develop the discussion.

[1122] Finally, the server synthesizes the discussions and generates a conclusion based on the emotional data. The conclusion could be something like, "We'll start with a small-scale test campaign and consider expanding it to the whole system based on the results." The device displays this conclusion to the user, who can then decide on their next course of action.

[1123] Prompt Sentence Examples

[1124] You're bold. Discuss this idea creatively: You're thinking about a campaign for a new seasonal product.

[1125] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1126] Step 1:

[1127] The user enters their idea into a dedicated input field on their smartphone. For example, they enter an idea such as, "I'm thinking of a new marketing strategy." The input data is in text format and is used in the next step.

[1128] Step 2:

[1129] The terminal sends the input idea to the server. The input here is the user's idea text, and the output is the idea text being received by the server through communication with the server. This makes the idea available throughout the system.

[1130] Step 3:

[1131] The server receives ideas sent by users, formats them into an appropriate format, and saves them in a database. Specifically, it converts the idea text into JSON format and stores it in the database. The input is the user's idea text, and the output is saving the formatted data in the database.

[1132] Step 4:

[1133] The server automatically generates a character based on the user's idea using a generative AI model. The generated character is set with characteristics such as "bold," "cautious," "balancer," and "person with a unique perspective." The input is the formatted idea text, and the output is the profile of the generated character.

[1134] Step 5:

[1135] The server presents the user with character customization options, allowing the user to customize the character's characteristics. For example, a setting can be made to "make a cautious character more logical." The input is the character's initial profile, and the output is the customized character profile.

[1136] Step 6:

[1137] The terminal sends the user's customization settings to the server, and the server resets the character's attributes. The input is the user's customization settings, and the output is the reset character profile.

[1138] Step 7:

[1139] Once the characters are properly configured, the server starts a virtual discussion between these characters. The user's ideas are presented to the characters as topics for discussion. The input is a customized character profile and idea text, and the output is the dialogue between the characters.

[1140] Step 8:

[1141] The server uses an emotion analysis engine to analyze the emotional state from the user's input. The input text is analyzed to generate an emotional score. For example, the input text is scored as an emotional state such as optimistic, pessimistic, or stressful. The input is the user's input text, and the output is the emotional state score.

[1142] Step 9:

[1143] The server adjusts the character's response based on the user's emotional state analyzed by the emotion analysis engine. For example, if the user is feeling stressed, the server changes the character's interaction style to be more calm and supportive. The input is the emotional state score, and the output is the adjusted character's response.

[1144] Step 10:

[1145] As the discussion progresses, users can add opinions and questions in real time via their smartphones. For example, they can ask, "What are some ways to further expand this strategy?" The input is the opinions and questions added by the users, and the output is the opinions and questions sent to the server.

[1146] Step 11:

[1147] The terminal sends the opinions and questions added by the user to the server, which then relays them to the characters to further develop the discussion. The input is the opinions and questions received in real time by the users, and the output is the content of the new discussion between the characters.

[1148] Step 12:

[1149] Once the discussion is complete, the server integrates and analyzes the opinions of the characters and the user, summarizing the key points. The input is the content of the discussion between the characters and the user's opinions, and the output is an integrated conclusion and recommended actions. The server then presents this conclusion to the user.

[1150] Step 13:

[1151] The terminal displays the conclusion received from the server to the user. For example, a conclusion could be "First, conduct a small-scale test campaign, and then consider a full rollout based on the results." This makes it easier for the user to decide on the next action. The input is the conclusion sent from the server, and the output is the final conclusion information displayed to the user.

[1152] 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.

[1153] 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.

[1154] 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.

[1155] [Fourth embodiment]

[1156] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1157] 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.

[1158] 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).

[1159] 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.

[1160] 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.

[1161] 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).

[1162] 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.

[1163] 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.

[1164] 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.

[1165] 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.

[1166] 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.

[1167] 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.

[1168] 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."

[1169] The present invention is a system in which a virtual character develops a discussion based on an idea input by a user, supporting the creation of high-quality ideas and optimal decision-making.

[1170] System Configuration

[1171] 1. User Input Processing

[1172] The user inputs his / her idea into a dedicated input field on the terminal. For example, the user can input an idea such as "I'm thinking of a new marketing strategy." The terminal then transmits the input idea to the server.

[1173] 2. Receiving ideas

[1174] The server receives ideas submitted by users, which are then formatted into a suitable format within the system and stored in a database.

[1175] 3. Character Creation and Customization

[1176] The server uses an AI model to automatically generate a character based on the user's ideas. The generated character is set with characteristics such as "bold," "cautious," "balancer," and "person with a unique perspective." The server presents character customization options to the user, allowing the user to customize the character's characteristics. For example, a setting can be made to make a cautious character even more logical. The device sends the user's customization settings to the server, and the server resets the character's attributes.

[1177] 4. Start a virtual discussion

[1178] Once the characters are properly configured, the server will initiate a virtual discussion between them. The server will then communicate the user's ideas as the topic of discussion to the characters. The characters will then exchange opinions from multiple perspectives based on their individual characteristics.

[1179] 5. Discussion development and real-time user participation

[1180] As the discussion progresses, users can add opinions and questions in real time through their devices. For example, they can ask, "What are some ways to further expand this strategy?" The devices send the opinions and questions added by the users to the server, which then relays them to the characters to further develop the discussion.

[1181] 6. Summary and conclusion of the discussion

[1182] Once the discussion is complete, the server integrates and analyzes the opinions of the characters and users, summarizing the key points. It then generates a final conclusion and recommended actions, which are presented to the user. For example, the server could suggest a cautious approach: "We will first conduct a trial introduction in certain areas, and then consider a full rollout based on the results." The terminal displays the conclusion from the server to the user.

[1183] Specific examples

[1184] When a user types, "I'm thinking about a new social media campaign," the device sends the idea to the server. The server receives the idea, formats it into the appropriate format, and saves it. The server then automatically generates characters with the following characteristics: "Bold," "Cautious," "Balancer," and "People with Unique Perspectives." The server then presents the user with character customization options (e.g., making the Cautious character even more logical), and the user configures them.

[1185] Once setup is complete, the server will present ideas to the characters and begin a discussion. Characters will express their opinions based on their individual characteristics. For example, a bold character might say, "This marketing strategy is very innovative, but we should also consider the risks," while a cautious character might say, "We should first test it in a few areas to mitigate the risks."

[1186] During this time, users can add questions through their devices, such as "What are some ways to further expand this strategy?" The device sends the question to the server, which then relays it to the characters, allowing the discussion to unfold further.

[1187] Finally, the server oversees the discussion and generates a conclusion that "we will first conduct a small-scale test campaign and consider full deployment based on the results," and presents this to the user. The terminal then displays this conclusion to the user.

[1188] As described above, the present invention provides a specific means for users to generate high-quality ideas from multiple perspectives and make optimal decisions.

[1189] The processing flow will be explained below.

[1190] Step 1:

[1191] The user inputs his / her idea into a dedicated input field on the terminal. For example, the user inputs an idea such as "I'm thinking of a new marketing strategy."

[1192] Step 2:

[1193] The device sends the input idea to the server, along with additional information such as the user ID and timestamp.

[1194] Step 3:

[1195] The server receives ideas sent by users. Upon receiving the ideas, it checks the data format and formats them appropriately. The formatted data is then stored in a database.

[1196] Step 4:

[1197] The server uses an AI model to automatically generate characters based on the user's ideas. Characters include "Bold," "Cautious," "Balancer," and "People with Unique Perspectives." Each character is given detailed attributes such as a name, personality, and dialogue style.

[1198] Step 5:

[1199] The server presents the detailed attributes of the generated character to the user. It also displays customization options so that the user can customize the character's characteristics. For example, it is possible to set "Make cautious characters more logical."

[1200] Step 6:

[1201] The user can review the proposed character's characteristics and customize them as needed, for example by adjusting the risk tolerance of a bold character.

[1202] Step 7:

[1203] The device sends the user's customization settings to the server, including the character ID and the changes.

[1204] Step 8:

[1205] The server receives the user's customization settings, resets the character's attributes, and prepares to start a discussion based on the reset character.

[1206] Step 9:

[1207] The server starts a virtual discussion using the characters that you set up. Users provide the characters with their ideas as topics for discussion. The characters then express their opinions from multiple perspectives based on their own characteristics.

[1208] Step 10:

[1209] Characters (servers) engage in discussions and exchange diverse opinions. For example, a bold character might say, "This marketing strategy is very innovative, but we need to consider the risks," while a cautious character might suggest, "We should first introduce it on a trial basis in certain areas to mitigate the risks."

[1210] Step 11:

[1211] Users can see the discussion unfold and add their thoughts and questions in real time, such as "What are some ways to expand on this strategy?"

[1212] Step 12:

[1213] The terminal sends the opinions and questions entered by the user to the server. The data sent includes the discussion topic ID and user ID.

[1214] Step 13:

[1215] The server receives opinions and questions from users and generates responses from characters, who then provide additional opinions based on the user's questions and further develop the discussion.

[1216] Step 14:

[1217] The character (server) continues the discussion, incorporating users' opinions and questions, which increases the depth of the discussion and allows for a multifaceted perspective.

[1218] Step 15:

[1219] Once the server determines that the discussion has concluded, it integrates and analyzes the content of the discussion and summarizes the key points. This analysis uses an AI model to extract and evaluate the key points of the discussion.

[1220] Step 16:

[1221] The server generates a final conclusion and recommended actions based on the summary of the discussions, such as "First, conduct a small-scale test campaign and consider full deployment based on the results."

[1222] Step 17:

[1223] The server presents the generated conclusions to the user, including discussion points and recommended actions.

[1224] Step 18:

[1225] The terminal displays the conclusion from the server to the user, who can then decide on the next action to take.

[1226] This system allows users to have discussions from multiple perspectives, making it easier to generate higher quality ideas. In addition, because users can participate in real time, the discussions progress in an interactive and flexible manner.

[1227] Example 1

[1228] 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."

[1229] Conventional idea creation support systems make it difficult for users to exchange opinions from multiple perspectives, resulting in a lack of discussions that allow users to generate high-quality ideas. They also lacked the functionality to add opinions and questions in real time, or to present the results of discussions in a unified manner. This made it difficult for users to obtain diverse opinions necessary for optimal decision-making. Furthermore, they lacked the functionality to save user opinions and the discussion process, making it impossible to refer to them later.

[1230] 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.

[1231] In this invention, the server includes a means for receiving ideas input by users, a means for generating characters, a means for users to customize the characteristics of the characters, a means for holding discussions between characters from multiple perspectives, a means for users to add opinions and questions to the discussions in real time, and a means for generating conclusions based on the discussions and presenting them to users. This allows users to obtain high-quality ideas from multiple perspectives and supports optimal decision-making. Furthermore, by using a generative AI model, more realistic characters can be generated, improving the quality of discussions. Including a database storage function for ideas and discussions facilitates future reference and enables continuous learning and improvement.

[1232] "Ideas" refer to new strategies, plans, and ideas entered by users.

[1233] A "character" is a virtual entity with its own characteristics that is generated based on the user's ideas and participates in discussions.

[1234] "Traits" refer to the characteristics and personality traits that a character possesses, and determine the perspective and direction of their opinions in a discussion.

[1235] "Multiple perspectives" refers to opinions from different backgrounds and ways of thinking, in order to deepen overall understanding.

[1236] A "generative AI model" refers to artificial intelligence that generates characters based on user input and settings.

[1237] A "prompt" is a sentence or question that is input to a generative AI model to obtain a specific output.

[1238] "Server" refers to a computer system that processes data, receives and stores data, generates characters, and develops discussions within the system.

[1239] "Terminal" refers to a device that allows users to input ideas and participate in discussions in real time.

[1240] "User" refers to a person who uses the system to input ideas and participate in discussions.

[1241] A "database" refers to a data storage system for storing ideas and discussions.

[1242] This invention is a system that supports the creation of high-quality ideas and optimal decision-making by having virtual characters discuss ideas input by users. This system operates as follows between users, terminals, and a server.

[1243] 1. User Input Processing

[1244] The user inputs their idea into a dedicated input field on the device. For example, they can input an idea such as "I'm thinking of a new marketing strategy." The device receives the user's input and sends it to the server, which receives the idea.

[1245] 2. Receiving ideas

[1246] The server receives ideas submitted by users, which are then formatted in the system into a suitable format and stored in a database for future reference.

[1247] 3. Character Creation and Customization

[1248] The server uses a generative AI model to automatically generate a character based on the user's ideas. The generated character is set with characteristics such as "bold," "cautious," "balancer," and "person with a unique perspective." The server then presents the user with character customization options. For example, a setting is possible to make a cautious character even more logical. The user customizes the character's characteristics using their device, and the device sends the customization settings to the server. The server then resets the character's attributes based on the received settings.

[1249] 4. Start a virtual discussion

[1250] Once the characters are properly configured, the server will start a virtual discussion between them. The server will then communicate the user's ideas as the topic of discussion to the characters. Each character will then express their opinions from multiple perspectives based on their own characteristics.

[1251] 5. Discussion development and real-time user participation

[1252] While the discussion is in progress, users can add opinions and questions in real time through their devices. For example, they can ask, "What are some ways to further expand this strategy?" The devices send the users' opinions and questions to the server, which then relays them to the characters to develop the discussion.

[1253] 6. Summary and conclusion of the discussion

[1254] Once the discussion is over, the server integrates and analyzes the opinions of the characters and users, summarizing key points. It then generates a final conclusion and recommended actions, which are presented to the user. For example, the conclusion could be, "As a cautious approach, we will first conduct a trial introduction in certain areas, and then consider a full rollout based on the results." The device displays the conclusion from the server to the user.

[1255] Specific examples

[1256] If a user types, "I'm thinking about a new social media campaign," the device sends the idea to the server. The server formats and saves the received idea. The server then generates characters: "Bold," "Cautious," "Balancer," and "People with Unique Perspectives." The server presents the user with character customization options, which the user can then configure.

[1257] Once setup is complete, the server will communicate ideas to the characters and begin a discussion. Characters will express their opinions based on their individual characteristics. For example, a bold character might say, "This marketing strategy is very innovative, but we should also consider the risks," while a cautious character might say, "We should first test it in a few areas to mitigate the risks."

[1258] During the discussion, the user can add a question such as, "What is the best way to expand on this strategy?" The device sends the question to the server, which then passes it on to the character, further developing the discussion.

[1259] Finally, the server oversees the discussion and generates a conclusion that "we will first conduct a small-scale test campaign and consider full deployment based on the results," and presents this to the user. The terminal then displays this conclusion to the user.

[1260] Prompt Sentence Examples

[1261] An example of an input prompt for the generative AI model is, "Based on the following characters, please generate opinions for each of the new social media campaigns the user is considering. The characters are 'Bold', 'Cautious', 'Balancer', and 'Someone with a Unique Perspective'. Please state your opinions from multiple perspectives."

[1262] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1263] Step 1: A user inputs an idea into a dedicated input field on the terminal. For example, the user inputs the idea "I'm thinking of a new marketing strategy." The input idea is sent to the server by the terminal.

[1264] Input: User Ideas

[1265] Output: Sending ideas to the server

[1266] Step 2: The server receives the ideas sent by the users, formats them into the appropriate format within the system, and stores them in the database.

[1267] Input: Ideas sent from your device

[1268] Output: Formatted ideas, ideas stored in a database

[1269] Step 3: The server uses the generative AI model to automatically generate a character based on the user's idea. The generated character is given characteristics such as "bold," "cautious," "balancer," and "person with a unique perspective."

[1270] Input: Formatted Idea

[1271] Output: The generated character

[1272] Step 4: The server presents the user with character customization options. The user customizes the character's characteristics using the device. For example, the user can set "more logical cautious characters." The device sends the user's customization settings to the server. The server resets the character's attributes based on the received settings.

[1273] Input: Generated character, user customization settings

[1274] Output: Reconfigured character

[1275] Step 5: The server communicates the user's idea to the appropriately configured characters and starts a discussion. The characters express their opinions from multiple perspectives based on their characteristics.

[1276] Input: Reconfigured characters, user ideas

[1277] Output: Discussion between characters, development of opinions

[1278] Step 6: While the discussion is ongoing, users can add their opinions and questions in real time through their devices. For example, they can add a question like, "What are some ways to further expand this strategy?" The user's opinions and questions are sent to the server by their devices. The server then relays them to the characters, allowing the discussion to develop.

[1279] Input: User comments and questions

[1280] Output: Updated discussion, additional character opinions

[1281] Step 7: Once the discussion is over, the server integrates and analyzes the opinions of the characters and the user, summarizing the key points. It generates a final conclusion and recommended actions, which are presented to the user. For example, it could suggest a cautious approach: "We will first conduct a trial introduction in certain areas, and then consider a full rollout based on the results." The device displays the conclusion from the server to the user.

[1282] Input: Character and user opinions

[1283] Output: Summary of key points, final conclusion

[1284] The above are the specific processing steps of this system.

[1285] (Application example 1)

[1286] 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."

[1287] In modern brick-and-mortar stores, developing effective marketing strategies is extremely important, but it is not easy to efficiently hold discussions from multiple perspectives and generate high-quality ideas. Furthermore, the difficulty of adding opinions or questions in real time can hinder rapid decision-making. To solve these issues, a system is needed in which a variety of characters can hold discussions and users can participate in the process in real time.

[1288] 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.

[1289] In this invention, the server includes means for receiving ideas input by users, means for generating characters based on the ideas, means for holding discussions between the characters from multiple perspectives, means for users to add opinions and questions to the discussions in real time, means for generating conclusions based on the discussions and presenting them to users, and means including application examples for devising marketing strategies for physical stores. This allows discussions to be held efficiently from multiple perspectives, allows users to participate in the process in real time, and makes it possible to quickly create high-quality ideas.

[1290] A "user" is someone who uses the system to input ideas and participate in discussions.

[1291] "Ideas" are thoughts and suggestions about new marketing or sales strategies that users provide to the system.

[1292] A "character" is a virtual person that is generated based on the user's ideas and that engages in discussions from multiple perspectives.

[1293] "Multifaceted perspectives" means expressing opinions from a variety of different positions and perspectives.

[1294] A "discussion" is a process in which characters exchange ideas.

[1295] "Real-time" means that users can participate in the discussion immediately and add their opinions or questions.

[1296] A "conclusion" is a final opinion or recommended action that results from a discussion.

[1297] "Presenting" is the act of displaying or communicating a conclusion to a user.

[1298] A "brick and mortar store" is a place of sale that exists in a physical location and where customers can visit and purchase products.

[1299] A "marketing strategy" is a plan or method for effectively providing products or services to customers.

[1300] An "application" is a method or process that specifically implements an invention in a particular field or situation.

[1301] The term "system" is a general term for information processing means and its components for realizing the functions of the present invention.

[1302] This invention is a system that supports the creation of high-quality ideas and optimal decision-making by having characters discuss ideas input by users. This system is particularly useful as a tool for devising marketing strategies for brick-and-mortar stores.

[1303] System Configuration

[1304] This system has six main functions: user input processing, idea reception, character creation and customization, virtual discussion initiation, discussion development and real-time user participation, and discussion summary and conclusion. These functions are explained in detail below.

[1305] 1. User Input Processing

[1306] The user can input their own idea in a dedicated input field. For example, they can input an idea such as "I'm thinking of creating a new loyalty program." The terminal then sends this input idea to the server.

[1307] 2. Receiving ideas

[1308] The server receives the ideas sent by the users, formats them into an appropriate format, and stores them in a database. These stored ideas are the basis for character generation.

[1309] 3. Character Creation and Customization

[1310] The server uses a generative AI model to automatically generate characters based on the user's ideas. The generated characters are set with characteristics such as "bold," "cautious," "balancer," and "person with a unique perspective." The server presents the user with character customization options, allowing the user to change the characteristics. For example, a setting can be made to "make cautious characters even more logical."

[1311] 4. Start a virtual discussion

[1312] Once the characters are properly configured, the server initiates a virtual discussion between them. The server presents the user's ideas as topics for discussion to the characters. The characters then exchange opinions from multiple perspectives based on their individual characteristics.

[1313] 5. Discussion development and real-time user participation

[1314] As the discussion progresses, users can add their opinions and questions in real time through their devices. For example, they can ask questions such as, "What impact does this program have on customers?" The devices then send the opinions and questions added by the users to the server, which then relays them to the characters to further develop the discussion.

[1315] 6. Summary and conclusion of the discussion

[1316] Once the discussion is complete, the server integrates and analyzes the opinions of the characters and users, summarizing the key points. It then generates a final conclusion and recommended actions, which are presented to the user. For example, it could suggest that a small-scale test campaign should be conducted first, and then a full rollout should be considered based on the results.

[1317] Specific examples

[1318] For example, if a store manager inputs, "We're thinking about a new loyalty program," characters generated based on that idea will discuss the idea from each perspective. The "bold" group is expected to say, "This program is very innovative, but we should also consider the risks," while the "cautious" group is expected to say, "We should first introduce it on a trial basis in a limited area to mitigate the risks." During this time, the user can insert an additional question, such as, "What impact will this program have on customers?" Finally, the server presents the user with a recommended action: "As a cautious approach, we will first introduce it on a trial basis in a limited area and then consider rolling it out globally based on the results."

[1319] Hardware and software used

[1320] The system uses the following hardware and software:

[1321] Hardware: Servers, user devices (smartphones, tablets, PCs)

[1322] Software: Flask (web framework), OpenAI API (generative AI model)

[1323] An example prompt for the generative AI model we will use:

[1324] Generate a character to discuss a user idea: 'I'm thinking about a new loyalty program.'

[1325] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1326] Step 1:

[1327] The user inputs ideas about marketing and sales strategies into a dedicated input field. For example, the user inputs an idea such as "I'm thinking about a new loyalty program." The input data is sent from the user terminal to the server.

[1328] Step 2:

[1329] The server receives ideas sent by users, formats them into an appropriate format, and stores them in a database. Specifically, the server formats the text data and processes it to fit into existing data structures.

[1330] Step 3:

[1331] The server uses a generative AI model to automatically generate a character based on the user's idea. The generated character is set with characteristics such as "bold," "cautious," "balancer," and "person with a unique perspective." To generate the character, a prompt such as "Generate a character that discusses the user's idea: 'We are thinking of a new loyalty program.'" is input into the generative AI model. In this process, the character's attributes are determined by data calculation based on the input idea, and character setting data is obtained as the output.

[1332] Step 4:

[1333] The server presents the generated character to the user and provides options for customizing the character's characteristics. For example, the user can customize the character to make it more logical. The customization data is then sent back to the server from the user's device. At this stage, the character's attribute data is recalculated based on the user's customization input, and the character profile is updated.

[1334] Step 5:

[1335] The server initiates a virtual discussion using customized characters. The server presents the user's ideas as discussion topics to the characters, who then express their opinions based on their individual characteristics. Here, the user's ideas and character profiles are used as input data, and the text data of the discussion is generated as output.

[1336] Step 6:

[1337] Users can participate in the discussion in real time through their devices and submit additional opinions or questions. For example, they can add a question such as, "What impact does this program have on customers?" This input data is sent from the user's device to the server and integrated with the text data of the discussion.

[1338] Step 7:

[1339] The server receives additional comments and questions from users and transmits them to the characters to further develop the discussion. The input data includes additional comments and questions from users, and the characters generate text data for the additional discussion based on them.

[1340] Step 8:

[1341] Once the discussion is over, the server integrates and analyzes the opinions of the characters and users to generate conclusions and recommended actions. Using a generative AI model, it creates output data for the user, such as a conclusion to "first conduct a small-scale test campaign and consider overall expansion based on the results."

[1342] Step 9:

[1343] The server presents the final conclusion and recommended actions to the user. The user terminal receives the output data from the server and displays the conclusion and recommended actions to the user.

[1344] 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.

[1345] The present invention combines a system in which virtual characters develop discussions based on ideas input by users, supporting the creation of high-quality ideas and optimal decision-making from multiple perspectives, with an emotion engine that recognizes the user's emotions.

[1346] System Configuration

[1347] 1. User Input Processing

[1348] The user inputs his / her idea into a dedicated input field on the terminal. For example, the user inputs the idea, "I'm thinking of a new marketing strategy." The terminal then transmits the input idea to the server.

[1349] 2. Receiving ideas

[1350] The server receives the ideas sent by the users, formats them into an appropriate format, and stores them in a database.

[1351] 3. Character Creation and Customization

[1352] The server uses an AI model to automatically generate a character based on the user's ideas. The generated character is set with characteristics such as "bold," "cautious," "balancer," and "person with a unique perspective." The server presents character customization options to the user, and the user customizes the character's characteristics. For example, a setting can be made to make a cautious character even more logical. The device sends the user's customization settings to the server, and the server resets the character's attributes.

[1353] 4. Start a virtual discussion

[1354] Once the characters are properly configured, the server starts a virtual discussion between them. The user presents their ideas to the characters as the topic of the discussion. The characters then exchange opinions from multiple perspectives based on their own characteristics.

[1355] 5. Use of Emotion Engine

[1356] The server uses an emotion engine to analyze the user's emotional state from the input content. For example, the server detects from the input text whether the user is feeling optimistic, pessimistic, stressed, etc. The emotion engine uses a text analysis algorithm to score the emotional state.

[1357] 6. Emotion-based dialogue adjustment

[1358] The server adjusts the character's responses based on the user's emotional state analyzed by the emotion engine. For example, if the user is feeling stressed, the server changes the character's conversation style to be more calm and supportive, allowing the user to relax and participate in the discussion.

[1359] 7. Real-time user participation

[1360] As the discussion progresses, users can add opinions and questions in real time through their devices. For example, they can ask, "What are some ways to further expand this strategy?" The devices send the opinions and questions added by the users to the server, which then relays them to the characters to further develop the discussion.

[1361] 8. Summary and conclusion of the discussion

[1362] Once the discussion is complete, the server integrates and analyzes the opinions of the characters and the user to summarize the key points. This analysis also takes into account emotional data. The server generates a final conclusion and recommended actions, which it presents to the user. For example, the server could suggest, "First, conduct a small-scale test campaign, and then consider expanding the campaign to its entire scope based on the results." The device displays the conclusion from the server to the user.

[1363] Specific examples

[1364] When a user types, "I'm thinking about a new social media campaign," the device sends the idea to the server. The server receives the idea, formats it into the appropriate format, and saves it. The server then automatically generates characters with the following characteristics: "Bold," "Cautious," "Balancer," and "People with Unique Perspectives." The server then presents the user with character customization options (e.g., making the Cautious character even more logical), and the user configures them.

[1365] Once setup is complete, the server will initiate a discussion with the character and use its emotion engine to analyze the user's emotional state. For example, if the character senses stress from the text the user types, it will adopt a calmer, more supportive dialogue style. Meanwhile, the user can add opinions or questions in real time, such as "What are some ways to further expand this strategy?" The device then sends this information to the server, which then relays it to the character to further develop the discussion.

[1366] Finally, the server synthesizes the discussions and generates a conclusion based on the emotional data. The conclusion could be something like, "We'll start with a small-scale test campaign and consider expanding it to the whole system based on the results." The device displays this conclusion to the user, who can then decide on their next course of action.

[1367] As described above, by combining an emotion engine, the present invention provides a high-quality discussion and decision-making process that also takes into account the user's emotional state.

[1368] The processing flow will be explained below.

[1369] Step 1:

[1370] The user inputs his / her idea into a dedicated input field on the terminal. For example, the user inputs an idea such as "I'm thinking of a new marketing strategy."

[1371] Step 2:

[1372] The device sends the input idea to the server, along with additional information such as the user ID and a timestamp.

[1373] Step 3:

[1374] The server receives ideas sent by users. When an idea is received, it checks the data format, converts it into an appropriate format, and stores it in a database.

[1375] Step 4:

[1376] The server uses an AI model to automatically generate characters based on the user's ideas. The generated characters are given characteristics such as "bold," "cautious," "balancer," and "person with a unique perspective." These characters are given detailed attributes such as names, personalities, and dialogue styles.

[1377] Step 5:

[1378] The server presents the detailed attributes of the generated character to the user via the terminal. The user can check the character's characteristics and customize them as needed. For example, a setting such as "make the cautious character even more logical" is possible.

[1379] Step 6:

[1380] The user checks the presented character's characteristics and customizes them as necessary. The terminal then transmits the customization settings to the server.

[1381] Step 7:

[1382] The server receives the customization settings sent by the user, resets the character's attributes, and prepares to start a discussion using the reset character.

[1383] Step 8:

[1384] The server starts a virtual discussion using appropriately configured characters. Users provide the characters with ideas as topics for discussion. The characters then exchange opinions from multiple perspectives based on their own characteristics.

[1385] Step 9:

[1386] The server uses an emotion engine to analyze the user's input in real time to determine their emotional state, for example, scoring their text input to determine whether they are optimistic, pessimistic, stressful, etc.

[1387] Step 10:

[1388] The server adjusts the character's responses based on the user's emotional state as analyzed by the emotion engine: for example, if the user is stressed, the character's interaction style may be changed to be more calm and supportive.

[1389] Step 11:

[1390] Users can watch the discussion unfold in real time and add their comments or questions, such as, "What are some ways to expand on this strategy?"

[1391] Step 12:

[1392] The terminal sends the opinions and questions added by the user to the server, including the discussion topic ID and user ID.

[1393] Step 13:

[1394] The server receives the user's opinions and questions and transmits them to the characters, who then respond to the user's questions and opinions and further develop the discussion.

[1395] Step 14:

[1396] The character (server) continues the discussion while incorporating the user's opinions and questions, which increases the depth of the discussion and further strengthens the multifaceted perspectives.

[1397] Step 15:

[1398] Once the server determines that the discussion has concluded, it integrates and analyzes the content of the discussion, taking into account the user's emotional data.

[1399] Step 16:

[1400] The server generates a final conclusion and recommended actions based on the summary of the discussions. For example, a conclusion could be, "First, conduct a small-scale test campaign, and then consider full deployment based on the results."

[1401] Step 17:

[1402] The server presents the generated conclusions to the user, including discussion points and recommended actions.

[1403] Step 18:

[1404] The terminal displays the conclusion from the server to the user, who can then decide on the next action based on this conclusion.

[1405] This system allows users to have discussions from multiple perspectives, supporting the creation of high-quality ideas and optimal decision-making. In addition, by utilizing an emotion engine, an interactive discussion environment is provided that takes into account the user's emotional state.

[1406] Example 2

[1407] 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."

[1408] Conventional idea generation and decision support systems have problems such as users feeling stressed or not being able to reach optimal ideas or conclusions because they do not take into account the emotional state of the user in their dialogue or discussion. Another problem is that they lack the flexibility to add user opinions or questions in real time.

[1409] 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.

[1410] In this invention, the server includes means for receiving ideas input by users, means for generating characters using a generative AI model, means for holding discussions between characters from multiple perspectives, means for analyzing the emotional state of users using an emotion engine and adjusting the responses of the characters, means for users to add opinions and questions in real time, and means for generating conclusions based on the discussions and presenting them to users. This enables users to have high-quality discussions that take into account their emotional state and to flexibly add opinions and questions in real time.

[1411] A "user" is someone who uses the system to input ideas and participate in the discussion and decision-making process.

[1412] "Ideas" refer to creative suggestions or thoughts that users enter into the input fields.

[1413] "Terminal" refers to the device that a user uses to access the system, input ideas, and participate in discussions.

[1414] The "server" refers to the core part of the system that receives ideas entered by users, generates characters, manages discussions, and presents the final conclusion.

[1415] A "generative AI model" refers to an artificial intelligence algorithm that automatically generates characters and arguments based on user ideas.

[1416] "Characters" refer to virtual personalities generated by generative AI models that express opinions from multiple perspectives.

[1417] "Emotion engine" refers to a program that analyzes a user's text input and determines the user's emotional state.

[1418] "Discussion" refers to the exchange of opinions and in-depth discussion of a topic between generated characters.

[1419] "Real-time" means that users can add their opinions or questions instantly, and that data is immediately reflected in the system.

[1420] "Conclusion" refers to the final recommended action or decision generated by the server as a result of the discussion and presented to the user.

[1421] "Customization" refers to a user changing a character's characteristics or behavior patterns.

[1422] The present invention combines a system in which virtual characters develop discussions based on ideas input by users, supporting the creation of high-quality ideas and optimal decision-making from multiple perspectives, with an emotion engine that recognizes the user's emotions.

[1423] System Configuration

[1424] 1. User Input Processing

[1425] A user inputs their idea into a dedicated input field on the device. For example, they might input "I'm thinking of a new marketing strategy." The device then takes this input data, formats it, and sends it to the server. For example, the device converts the input data into JSON format and sends it to the server as an HTTP POST request.

[1426] 2. Receiving ideas

[1427] The server receives ideas sent from the device. The received data is sanitized and checked for any invalid data. It is then formatted into a standard format and stored in a database. The server uses a database connection library to securely store idea data.

[1428] 3. Character Creation and Customization

[1429] The server uses a generative AI model (such as GPT-3) to automatically generate a character based on the user's idea. The generated character is set with characteristics such as "bold," "cautious," "balancer," and "person with a unique perspective." The server then sends options to the device to provide the user with character customization options. The user uses these customization options to adjust the character's characteristics. When the user operates a web form to select an option, the information is sent from the device to the server, and the character's attributes are reset.

[1430] As a specific example, the user can set "make cautious characters even more logical."

[1431] 4. Start a virtual discussion

[1432] Once the characters are ready, the server starts a virtual discussion between these characters. The user's ideas are communicated to the characters as the topic of the discussion. The characters then use the generative AI model to exchange diverse opinions based on their individual characteristics. Specifically, the server sends prompts to the generative AI model, and the responses are given to the characters in the form of a discussion.

[1433] An example prompt might be, "We're considering a new marketing strategy. How would the Bold approach it?"

[1434] 5. Use of Emotion Engine

[1435] The server uses an emotion engine to analyze the emotional state of the user's input. The analysis uses a text analysis algorithm to score the user's emotional state, such as optimistic, pessimistic, or stressful. Specifically, the server uses an emotion analysis library (e.g., an NLP library) to calculate the emotion score of the text.

[1436] 6. Emotion-based dialogue adjustment

[1437] The server adjusts the character's responses based on the analysis results of the emotion engine. For example, if the user is feeling stressed, the character's dialogue style will be changed to a more calm and supportive one. Specifically, the server changes the tone and content of the response message according to the emotion score and sets it as the character's lines.

[1438] 7. Real-time user participation

[1439] While the discussion is in progress, users can add opinions and questions in real time using their device. For example, they can type a question like, "What are some ways to further expand this strategy?" into their device. The device then sends this input data to the server, which then relays the content to the character and continues the discussion. Specifically, the user's input is sent to the server in real time using a WebSocket or similar, and the server then sends a prompt to the generative AI model to obtain a response.

[1440] 8. Summary and conclusion of the discussion

[1441] Once the discussion is complete, the server integrates and analyzes the opinions of the characters and the user to summarize the main points. Emotional data is also taken into account in this analysis. The server generates a final conclusion and recommended actions, which are presented to the user. For example, the conclusion could be to "first conduct a small-scale test campaign and then consider expanding it to a larger scale based on the results." The device then displays the conclusion from the server to the user. Specifically, the server sends the generated conclusion data to the device in JSON format, and the device renders it in an easy-to-read format and displays it to the user.

[1442] By combining an emotion engine, the present invention provides a high-quality discussion and decision-making process that also takes into account the user's emotional state.

[1443] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1444] Step 1: User input

[1445] The user enters their idea in a dedicated input field. For example, they might enter "I'm thinking of a new marketing strategy." The entered text data is sent to the device. The device then converts this input data into JSON format and makes an HTTP POST request to send it to the server. The input is the user's idea, and the output is the idea data in JSON format.

[1446] Step 2: Receive and save ideas

[1447] The server receives idea data sent from the terminal. The received data is sanitized and checked to see if it contains any invalid data. The server then saves the data in a database. Specifically, the server analyzes the received idea data, formats it appropriately, and saves it through a database connection library. The input is the sanitized idea data, and the output is the record saved in the database.

[1448] Step 3: Character Generation

[1449] The server automatically generates characters using a generative AI model (such as GPT-3) based on the saved idea data. The generated characters are set with characteristics such as "bold," "cautious," "balancer," and "person with a unique perspective." The server sends a prompt to the generative AI model and generates a character based on the response. The input is the idea data and the prompt, and the output is the generated character.

[1450] Step 4: Character Customization

[1451] The server provides options for users to customize the characteristics of the generated character. To do this, it displays customization options on the terminal. The user configures settings through the terminal and sends them to the server. The server redefines the character's characteristics based on the received settings. The input is the user's customization settings, and the output is the customized character.

[1452] Step 5: Start a virtual discussion

[1453] The server starts a virtual discussion using a character customized by the user. The user's ideas are conveyed to the character as the topic of the discussion. The characters then express their opinions from multiple perspectives based on their individual characteristics. The server sends prompts to the generative AI model, and the responses are used as the characters' statements. The input is the customized character and the user's ideas, and the output is the content of the characters' discussion.

[1454] Step 6: Emotion analysis using the emotion engine

[1455] While the discussion is in progress, the server uses an emotion engine to analyze the user's emotional state. The input text data is scored using an emotion analysis library (e.g., an NLP library). The analysis result is output as data indicating the user's emotional state. The input is the user's text data, and the output is a score of the emotional state.

[1456] Step 7: Adjusting interactions based on emotion

[1457] The server adjusts the character's dialogue style based on the analysis results of the emotion engine. For example, if the user is feeling stressed, the character's responses will be changed to be more gentle and supportive. Depending on the emotion score, the tone and content of the response message will be changed and set as the character's lines. The input is the emotion score, and the output is the adjusted character's response.

[1458] Step 8: Real-time user participation

[1459] Users can add opinions and questions in real time as the discussion progresses. For example, they can input a question such as, "What are some ways to further expand this strategy?" The device sends this input data to the server, which then relays it to the character to continue the discussion. The input is the user's additional opinions and questions, and the output is the character's response.

[1460] Step 9: Summarizing the discussion and generating conclusions

[1461] After the discussion is complete, the server integrates the opinions of the characters and users and summarizes the key points. Emotional data is also taken into account in this analysis. The server generates a final conclusion and recommended actions and presents them to the user. For example, the conclusion could be, "First, conduct a small-scale test campaign and consider expanding it to the whole system based on the results." The input is the integrated discussion data and emotional data, and the output is a conclusion and recommended actions.

[1462] (Application example 2)

[1463] 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."

[1464] While conventional idea creation support systems can engage in multifaceted discussions on ideas entered by users, they do not take into account the user's emotional state in their responses or adjust the discussions, making it difficult to reduce the burden and stress on users.In addition, there has been a lack of systems that support high-quality decision-making that reflects opinions from diverse perspectives.

[1465] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for receiving ideas input by users, means for generating characters based on the ideas, means for holding discussions between characters from multiple perspectives, means for users to add opinions and questions in real time, means for generating conclusions based on the discussions and presenting them to users, means for generating responses of the characters using a generative AI model, means for analyzing user emotions using an emotion analysis engine, and means for adjusting the character responses based on the results of the emotion analysis engine. This enables high-quality discussions and decision-making support that take into account the emotional state of users.

[1466] "User" means an individual or company that uses the system to input ideas and participate in discussions.

[1467] A "character" is an artificial intelligence that is generated based on the user's ideas and has a virtual role to discuss things from multiple perspectives.

[1468] "Ideas" refer to creative proposals such as new strategies and product designs that users input into the system.

[1469] "Multifaceted perspectives" is a method in which characters with different opinions and approaches evaluate and discuss ideas from various angles.

[1470] "A means for adding comments and questions in real time" is a feature that provides an interface that allows users to instantly add new comments and questions to an ongoing discussion.

[1471] The "conclusion" is the result that integrates the characters' discussions and presents the best recommended action or next step for the user.

[1472] A "generative AI model" is an artificial intelligence algorithm that generates character responses based on the user's ideas.

[1473] An "emotion analysis engine" is a system that analyzes emotions from user input and scores the emotional state.

[1474] "Means to adjust responses" is a function that adjusts a character's responses and dialogue style based on the results of the emotion analysis engine.

[1475] This invention is a system in which a virtual character develops a discussion based on an idea input by a user and adjusts the response taking into account the user's emotional state. The system is implemented using the following hardware and software.

[1476] Hardware and software used

[1477] Hardware: Server machine, smartphone (used by users)

[1478] Software: Flask (a Python web framework), OpenAI GPT-3 (a generative AI model), sentiment analysis algorithms (e.g., NLTK and TextBlob)

[1479] System configuration

[1480] User Input Processing

[1481] The user inputs their idea into a dedicated input field on the smartphone. For example, they input the idea, "I'm thinking of a new marketing strategy." The device then sends the input idea to the server.

[1482] Receiving ideas

[1483] The server receives the ideas sent by the users, formats them into an appropriate format, and stores them in a database.

[1484] Character Generation and Customization

[1485] The server uses a generative AI model to automatically generate a character based on the user's ideas. The generated character is set with characteristics such as "bold," "cautious," "balancer," and "person with a unique perspective." The server presents character customization options to the user, allowing the user to customize the character's characteristics. For example, a setting can be made to make a "cautious character even more logical." The device sends the user's customization settings to the server, and the server resets the character's attributes.

[1486] Virtual discussion begins

[1487] Once the characters are properly configured, the server starts a virtual discussion between them. The user presents their ideas to the characters as the topic of the discussion. The characters then exchange opinions from multiple perspectives based on their own characteristics.

[1488] Use of emotion engine

[1489] The server uses an emotion analysis engine to analyze the user's emotional state from the input content. For example, it can detect whether the user is feeling optimistic, pessimistic, or stressed from the input text. The emotion engine analyzes the text and scores the emotional state.

[1490] Emotion-based dialogue adjustment

[1491] The server adjusts the character's responses based on the user's emotional state as analyzed by the emotion analysis engine. For example, if the user is feeling stressed, the server changes the character's conversation style to be more calm and supportive, allowing the user to relax and participate in the discussion.

[1492] Real-time user participation

[1493] As the discussion progresses, users can add their opinions and questions in real time via their smartphones. For example, they can ask, "What are some ways to further expand this strategy?" The device sends the opinions and questions added by the users to the server, which then relays them to the characters to further develop the discussion.

[1494] Summary and conclusion of the discussion

[1495] Once the discussion is complete, the server integrates and analyzes the opinions of the characters and the user to summarize the key points. This analysis also takes into account emotional data. The server generates a final conclusion and recommended actions, which are presented to the user. For example, the server could suggest, "First, conduct a small-scale test campaign, and then consider expanding the campaign to its full potential based on the results." The device displays the conclusion from the server to the user.

[1496] Specific examples

[1497] For example, if a user inputs an idea such as "I'm thinking of creating a campaign for a new seasonal limited edition product," the device sends the idea to the server. The server receives the idea, formats it in an appropriate format, and saves it. The server then automatically generates characters such as "Bold," "Cautious," "Balancer," and "People with Unique Perspectives," and users can customize their characteristics.

[1498] Once customization is complete, the server will initiate a discussion with the character and utilize an emotion engine to analyze the user's emotional state. For example, if the server detects that the user is feeling stressed from the text they type, the character will adopt a calmer, more supportive dialogue style.

[1499] Users can add opinions and questions in real time, such as "What are some ways to expand on this strategy?", and the device sends this information to the server, which then relays it to the characters to further develop the discussion.

[1500] Finally, the server synthesizes the discussions and generates a conclusion based on the emotional data. The conclusion could be something like, "We'll start with a small-scale test campaign and consider expanding it to the whole system based on the results." The device displays this conclusion to the user, who can then decide on their next course of action.

[1501] Prompt Sentence Examples

[1502] You're bold. Discuss this idea creatively: You're thinking about a campaign for a new seasonal product.

[1503] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1504] Step 1:

[1505] The user enters their idea into a dedicated input field on their smartphone. For example, they enter an idea such as, "I'm thinking of a new marketing strategy." The input data is in text format and is used in the next step.

[1506] Step 2:

[1507] The terminal sends the input idea to the server. The input here is the user's idea text, and the output is the idea text being received by the server through communication with the server. This makes the idea available throughout the system.

[1508] Step 3:

[1509] The server receives ideas sent by users, formats them into an appropriate format, and saves them in a database. Specifically, it converts the idea text into JSON format and stores it in the database. The input is the user's idea text, and the output is saving the formatted data in the database.

[1510] Step 4:

[1511] The server automatically generates a character based on the user's idea using a generative AI model. The generated character is set with characteristics such as "bold," "cautious," "balancer," and "person with a unique perspective." The input is the formatted idea text, and the output is the profile of the generated character.

[1512] Step 5:

[1513] The server presents the user with character customization options, allowing the user to customize the character's characteristics. For example, a setting can be made to "make a cautious character more logical." The input is the character's initial profile, and the output is the customized character profile.

[1514] Step 6:

[1515] The terminal sends the user's customization settings to the server, and the server resets the character's attributes. The input is the user's customization settings, and the output is the reset character profile.

[1516] Step 7:

[1517] Once the characters are properly configured, the server starts a virtual discussion between these characters. The user's ideas are presented to the characters as topics for discussion. The input is a customized character profile and idea text, and the output is the dialogue between the characters.

[1518] Step 8:

[1519] The server uses an emotion analysis engine to analyze the emotional state from the user's input. The input text is analyzed to generate an emotional score. For example, the input text is scored as an emotional state such as optimistic, pessimistic, or stressful. The input is the user's input text, and the output is the emotional state score.

[1520] Step 9:

[1521] The server adjusts the character's response based on the user's emotional state analyzed by the emotion analysis engine. For example, if the user is feeling stressed, the server changes the character's interaction style to be more calm and supportive. The input is the emotional state score, and the output is the adjusted character's response.

[1522] Step 10:

[1523] As the discussion progresses, users can add opinions and questions in real time via their smartphones. For example, they can ask, "What are some ways to further expand this strategy?" The input is the opinions and questions added by the users, and the output is the opinions and questions sent to the server.

[1524] Step 11:

[1525] The terminal sends the opinions and questions added by the user to the server, which then relays them to the characters to further develop the discussion. The input is the opinions and questions received in real time by the users, and the output is the content of the new discussion between the characters.

[1526] Step 12:

[1527] Once the discussion is complete, the server integrates and analyzes the opinions of the characters and the user, summarizing the key points. The input is the content of the discussion between the characters and the user's opinions, and the output is an integrated conclusion and recommended actions. The server then presents this conclusion to the user.

[1528] Step 13:

[1529] The terminal displays the conclusion received from the server to the user. For example, a conclusion could be "First, conduct a small-scale test campaign, and then consider a full rollout based on the results." This makes it easier for the user to decide on the next action. The input is the conclusion sent from the server, and the output is the final conclusion information displayed to the user.

[1530] 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.

[1531] 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.

[1532] 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.

[1533] 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.

[1534] 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.

[1535] 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.

[1536] 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).

[1537] 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.

[1538] 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."

[1539] 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.

[1540] 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).

[1541] 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.

[1542] 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.

[1543] 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.

[1544] 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.

[1545] 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 execu...

Claims

1. means for receiving user-entered ideas; A means for generating a character based on the idea; A means for the characters to discuss from multiple perspectives; a means for users to add comments or questions to the discussion in real time; means for generating a conclusion based on the discussion and presenting the conclusion to a user; A system including:

2. 10. The system of claim 1, further comprising means for a user to customize the characteristics of said character.

3. 10. The system of claim 1, further comprising means for storing said ideas and said discussions in a database.

Images