System

Abstract

A system is provided.SOLUTION: A system comprising: means for causing a user to input a content and feeling of a dream; means for using a generation model that generates an interpretation result based on the input content and feeling of the dream; means for presenting the generated interpretation result to the user; means for receiving an additional question about the interpretation result from the user; means for generating an interpretation result again using the generation model based on the additional question; and means for presenting the re-generated interpretation result 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] Many people want to know the meaning of their dreams, but dream dictionaries and other existing information sources often struggle to accurately interpret individual dreams. Furthermore, while there is a growing need for a deeper understanding of dream meanings for self-help, self-understanding, and psychological growth, current methods are limited. Therefore, there is a need for effective methods to help users more clearly understand the meaning of their dreams and promote psychological growth. [Means for solving the problem]

[0005] The present invention is a system including: means for allowing a user to input dream content and emotions; means for using a generative model to generate an interpretation result based on the input dream content and emotions; means for presenting the generated interpretation result to the user; means for accepting follow-up questions from the user regarding the interpretation result; means for generating an interpretation result using the generative model again based on the follow-up questions; and means for presenting the regenerated interpretation result to the user. This system enables detailed interpretations personalized for individual dreams and responses to follow-up questions based on the interpretation, thereby effectively promoting the user's self-understanding and psychological growth.

[0006] A "user" is an individual who uses the system to input the content and emotions of their dreams and receive the interpretation results.

[0007] "Dream content" refers to specific information, events, and situations that the user saw in their dream.

[0008] "Emotion" refers to the specific psychological state the user felt when dreaming.

[0009] "Means for input" refers to the interface or method by which the user inputs the content and emotions of their dreams into the system.

[0010] "Generative model" refers to an artificial intelligence or machine learning algorithm that generates dream interpretation results based on user input data.

[0011] "Presentation means" refers to the interface or method for showing the generated interpretation results to the user.

[0012] "Additional questions" refer to additional or supplementary questions that the user has about the interpretation results.

[0013] "Means for regeneration" refers to a method for generating new interpretation results using a generative model based on additional questions from the user. [Brief explanation of the drawings]

[0014] [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

[0015] 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.

[0016] First, the terms used in the following description will be explained.

[0017] 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).

[0018] 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.

[0019] 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.

[0020] 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.

[0021] 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."

[0022] [First embodiment]

[0023] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0024] 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.

[0025] 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).

[0026] 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.

[0027] 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.

[0028] 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.

[0029] 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.

[0030] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0031] 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.

[0032] 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.

[0033] 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.

[0034] 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."

[0035] The present invention is a system that allows a user to input the content and emotions of a dream and provides a dream interpretation based on the input. The system includes an interface for the user to input the content and emotions of the dream, a mechanism for generating an interpretation using a generative AI model, a means for providing the generated interpretation to the user, and a function for responding to follow-up questions.

[0036] Explaining program processing in natural language

[0037] 1. Launching the application

[0038] When a user launches the "Dream Navi" application on their device, an interface for entering the content and emotions of their dream is displayed on the device. The screen contains a text box for describing the content of the dream and a drop-down menu for selecting emotions.

[0039] 2. Inputting dream content and emotions

[0040] Users enter the details of their dream in the text box and select the corresponding emotion from the drop-down menu. Once the entry is complete, the user presses the "Send" button, which sends the entry from the device to the server.

[0041] 3. Dream content analysis

[0042] The server receives the dream content and emotional information sent by the user and inputs it into a generative AI model. This generative AI model is used to analyze the dream content and emotions and generate a dream interpretation. For example, if the dream content is "getting lost in the forest" and the emotion is "anxiety," the generative AI model will generate an interpretation such as "dreams of getting lost often indicate anxiety about the direction in your current life."

[0043] 4. Presentation of interpretation results

[0044] The server receives the interpretation results returned by the generative AI model and sends them to the device. The device displays the interpretation results to the user, allowing the user to know the specific interpretation of their dream.

[0045] 5. Response to additional questions

[0046] If the user has further questions about the interpretation results, they enter the question in the input field displayed on the device and press the "Send" button. The device then sends this additional question to the server, which then inputs the question into the generative AI model to generate another interpretation. Once a new interpretation result is generated, the server sends it to the device, which then displays it to the user.

[0047] Specific examples

[0048] For example, if a user uses the "Dream Navi" application to enter "I had a dream about drowning in the ocean" and select "fear" as the emotion, the data is sent to the server via the device. The server inputs this data into the generative AI model and generates an interpretation result: "Dreams about drowning often indicate anxiety or fear about situations that you cannot control." This interpretation result is returned to the device and displayed to the user. Furthermore, if the user inputs an additional question, such as "Why have I been having this dream recently?", the server will again use the generative AI model to generate a new interpretation, returning the result: "Recurring dreams may indicate that the emotion or situation has not been resolved." Users can use these interpretations to gain a deeper understanding of their own psychological state and challenges.

[0049] The above-described processing is carried out in the system of the present invention, so that the user can gain a deeper understanding of the meaning of his or her dreams and promote psychological growth.

[0050] The processing flow will be explained below.

[0051] Step 1:

[0052] The user taps the "Yume Navi" app on their device to launch it.

[0053] The device displays the initial screen of the application, with a field for entering the dream content and a menu for selecting emotions on standby.

[0054] Step 2:

[0055] Users enter the details of their dream into a text box and select the emotion they felt when they had the dream from a drop-down menu.

[0056] Your device stores the information you enter (e.g., you type "I was lost in the woods and was anxious" into a text box and select "Anxious" from a drop-down menu).

[0057] Step 3:

[0058] The user presses the "Send" button.

[0059] The device constructs dream content and emotional information in JSON format and sends an HTTP request to the server.

[0060] Step 4:

[0061] The server receives an HTTP request from the device.

[0062] The server analyzes the transmitted data and extracts the dream content and emotional information.

[0063] Step 5:

[0064] The server inputs dream data into the generative AI model.

[0065] The server calls the appropriate API and inputs the dream content ("lost in the forest") and the emotion ("anxiety") into the model.

[0066] Step 6:

[0067] A generative AI model analyzes the data and generates a dream interpretation.

[0068] Based on the content of the dream, the generative AI model generates an interpretation such as "Dreams of getting lost often indicate anxiety about direction in current life" and returns it to the server.

[0069] Step 7:

[0070] The server obtains the interpretation results from the generative AI model.

[0071] The server formats the dream interpretation results into an appropriate format and sends them to the device as an HTTP response.

[0072] Step 8:

[0073] The terminal receives a response from the server.

[0074] The terminal displays the interpretation results it receives to the user.

[0075] Step 9:

[0076] If the user has a follow-up question about the interpretation result, the user inputs the question into the terminal.

[0077] The device constructs the question in JSON format and sends an HTTP request to the server.

[0078] Step 10:

[0079] The server receives a query from the terminal.

[0080] The server analyzes the question data and inputs the question into the generative AI model.

[0081] Step 11:

[0082] A generative AI model generates answers to follow-up questions.

[0083] The generative AI model generates an answer such as, "Having the same dream repeatedly may indicate that your anxiety or problem has not been resolved," and returns it to the server.

[0084] Step 12:

[0085] The server sends the generated response to the terminal.

[0086] The server formats the response data in an appropriate format and sends it to the terminal as an HTTP response.

[0087] Step 13:

[0088] The terminal receives a response from the server.

[0089] The terminal displays the received answer to the user.

[0090] Example 1

[0091] 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."

[0092] Psychological interpretation based on dream content and emotions has traditionally been done manually, which has the drawback of requiring time and effort. Furthermore, interpretations of dream content and emotions are often subjective and often produce inconsistent results. Furthermore, it has been difficult to quickly provide interpretations for additional questions. There is a need for a system that can solve these problems and provide fast, objective interpretation results.

[0093] 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.

[0094] In this invention, the server includes an interface means for allowing the user to input the content and emotions of their dreams, a processing means using a generative AI model to generate an interpretation result based on the input content and emotions of their dreams, and a display means to present the generated interpretation result to the user, thereby enabling a quick and objective interpretation of the content and emotions of their dreams.

[0095] "Interface means" refers to an input device and software that allows the user to input the content and emotions of their dreams.

[0096] "Generative AI model" refers to algorithms and systems that use artificial intelligence techniques to analyze input data and generate interpretive results.

[0097] "Processing means" refers to the functions and programs that allow the server to input input data into the generative AI model and generate analysis and interpretation results.

[0098] "Display means" refers to an output device and software for displaying the generated interpretation results to a user on a terminal.

[0099] "Input means" refers to an input device and software that allows a user to input additional questions regarding the interpretation results.

[0100] The present invention is a system that allows a user to input the content and emotions of a dream and provides a dream interpretation using a generative AI model based on the input. This system includes an interface means through which the user inputs the content and emotions of the dream, a generative AI model that generates an interpretation, a display means that presents the generated interpretation result to the user, and a function that responds to follow-up questions. An embodiment of the present invention will be described in detail below.

[0101] Hardware and software configuration

[0102] The user starts the "Dream Navi" application using a device such as a smartphone or tablet. An interface for inputting the content and emotions of the dream is displayed on the device. This interface includes a text box for describing the content of the dream and a drop-down menu for selecting emotions.

[0103] The data entered by the user is sent from the device to a server. The server then inputs the received dream content and emotional data into a generative AI model. The generative AI model primarily uses natural language processing technology to analyze the input data and generate an interpretation of the dream. OpenAI's GPT-3 and other models are used for the generative AI model.

[0104] The generated interpretation results are sent from the server to the device, which then displays the results to the user. If the user enters an additional question, the device resends the question to the server, which then re-inputs it into the generative AI model to generate a new interpretation. This allows the user to obtain a more detailed interpretation result.

[0105] Specific examples

[0106] For example, consider the case where a user uses the "Dream Navi" application to input "I had a dream about drowning in the ocean" and select "fear" as the emotion. This data is sent from the device to the server, which then inputs it into the generative AI model. The generative AI model generates an interpretation such as "Dreams about drowning often indicate anxiety or fear about situations that are beyond one's control." The interpretation result is returned to the device and displayed to the user.

[0107] If the user further questions, such as "Why have I been having this dream recently?", the question is sent to the server again, and the generative AI model generates a new interpretation. The new interpretation is returned and displayed to the user: "Recurring dreams may indicate that the emotion or situation has not been resolved."

[0108] In this way, users can understand the meaning of their dreams and gain insight into their psychological state. The system of the present invention allows users to obtain quick and objective dream interpretations.

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

[0110] Program processing steps

[0111] Step 1:

[0112] The user launches the "Dream Navi" application on their device. An interface for inputting the content and emotions of their dream is displayed on the device screen. The input fields include text boxes and drop-down menus.

[0113] Input: Application launch operation

[0114] Output: Interface for inputting dream content and emotions

[0115] Step 2:

[0116] The user enters the details of their dream into a text box and selects an emotion from a drop-down menu, then presses the "Send" button, which sends the entered data from the device to the server.

[0117] Input: User-supplied dream content and emotions

[0118] Output: Dream content and emotion data sent to the server

[0119] Step 3:

[0120] The server converts the received dream content and emotional data into a format that is easy to analyze. This data is then input into a generative AI model, which then analyzes the data and generates a dream interpretation.

[0121] Input: Dream content and emotional data submitted by the user

[0122] Output: Dream interpretation by the generative AI model

[0123] Step 4:

[0124] The server receives the interpretation results returned by the generative AI model and sends them to the device, which then displays the results to the user, allowing them to confirm the interpretation of their dream.

[0125] Input: Interpretation results returned by the generative AI model

[0126] Output: Dream interpretation displayed on the terminal

[0127] Step 5:

[0128] The user enters additional questions about the interpretation results in the input field and presses the "Send" button. The terminal then sends the additional questions to the server.

[0129] Input: Additional question from the user

[0130] Output: Additional question data sent to the server

[0131] Step 6:

[0132] The server inputs the received follow-up questions into the generative AI model again to generate a new interpretation. The generative AI model generates a new interpretation result based on the follow-up questions.

[0133] Input: Additional question data

[0134] Output: New dream interpretation

[0135] Step 7:

[0136] The server receives the new interpretation results returned by the generative AI model and sends them back to the device, which then displays the new interpretation results to the user, allowing the user to obtain a more detailed interpretation.

[0137] Input: New interpretation result

[0138] Output: New dream interpretation displayed on terminal

[0139] (Application example 1)

[0140] 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."

[0141] Conventional dream interpretation systems allow users to input the content and emotions of their dreams and receive interpretation results, but they are unable to provide specific content related to the dream (videos, music, stories, etc.). This means that users are unable to gain further experience based on the dream interpretation results, and their understanding of the interpretation results is limited.

[0142] 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.

[0143] In this invention, the server includes means for having a user input dream content and emotions, means for using a generative model to generate an interpretation result based on the input dream content and emotions, means for presenting the generated interpretation result to the user, means for generating content such as video, music, or a story related to the interpretation result, means for delivering the related content to the user, means for receiving follow-up questions from the user regarding the interpretation result, means for generating an interpretation result using the generative model again based on the follow-up questions, means for presenting the regenerated interpretation result to the user, and means for generating and delivering new content based on the regenerated interpretation result. This allows the user to receive specific content based on the dream interpretation result, deepening their understanding of the interpretation result and improving the user experience.

[0144] "User" refers to an individual who uses the system.

[0145] "Dream content" is a text description of specific events and situations related to the dream the user had.

[0146] "Emotion" refers to the psychological state the user felt when dreaming.

[0147] "Input means" refers to the interface through which the user provides the content and emotions of their dreams to the system, and includes text input boxes, drop-down menus, etc.

[0148] A "generative model" is an artificial intelligence model used to generate interpretation results based on dream content and emotions.

[0149] The "interpretation result" is information indicating the meaning and interpretation of the dream analyzed by the generative model.

[0150] "Content" refers to information such as video, music, or story related to the interpretation result.

[0151] "Delivery means" refers to a means for providing generated interpretation results and related content to users.

[0152] A "follow-up question" is a question or inquiry that a user enters to seek more detailed information or understanding of the interpretation result.

[0153] The present invention is a system that allows a user to input the content and emotions of a dream, generates an interpretation result based on the content using a generative AI model, provides the interpretation result to the user, and distributes related content. This system includes an interface through which the user inputs the content and emotions of the dream, a mechanism for generating the interpretation result and related content using the generative AI model, a means for providing the generated interpretation result and content to the user, and a function for responding to follow-up questions.

[0154] Hardware and software used

[0155] Interface: React Native (cross-platform app development)

[0156] Server and data analysis: Python framework (Flask or Django)

[0157] Generative AI model: OpenAI GPT-4API

[0158] Database: PostgreSQL

[0159] Video / music streaming: AWS S3 and YouTube API

[0160] System Operation

[0161] 1. Launch the application:

[0162] When a user launches the "Dream Media" application on their smartphone or smart glasses, an interface for entering the content and emotions of their dreams appears. The screen contains a text box for describing the content of the dream and a drop-down menu for selecting emotions.

[0163] 2. Input of dream content and emotions:

[0164] Users enter the details of their dream in the text box and select the emotion they felt from the drop-down menu. Once they have finished entering the details, they press the "Send" button, which sends the details from their device (smartphone or smart glasses) to the server.

[0165] 3. Dream Content Analysis:

[0166] The server receives the dream content and emotional information sent by the user and inputs it into a generative AI model, which analyzes the dream content and emotions and generates an interpretation of the dream and related content (video, music, story).

[0167] 4. Presenting interpretation results and content:

[0168] The server receives the interpretation results and related content returned by the generative AI model and sends them to the device, which then displays the interpretation results and content to the user and plays related video and music.

[0169] 5. Response to additional questions:

[0170] If the user has further questions about the interpretation results, they enter the question in the input field and press the "Submit" button. The server inputs this additional question into the generative AI model again to generate a new interpretation. The server receives the results and new content, sends them to the device, and displays them to the user.

[0171] Specific examples

[0172] For example, if a user uses the "Dream Media" app to input "I had a dream about falling from a high place" and select "fear" as the emotion, the data is sent to the server via the device. The server inputs this data into the generative AI model, which generates the interpretation that "dreams about falling from a high place often indicate that you are afraid of failure or setbacks," along with music to alleviate the fear and calming images. The interpretation and content are then sent back to the device, where they are displayed and played back for the user. Furthermore, if the user inputs an additional question such as "Why have I been having this dream a lot recently?", the server will again use the generative AI model to generate a new interpretation and return the result that "recurring dreams may indicate that the emotion or situation in question has not been resolved."

[0173] Prompt Sentence Examples

[0174] Dream content: Dream of falling from a high place Emotion: Fear

[0175] What does this dream mean? Also, please generate images, music, and a story related to this dream."

[0176] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0177] Step 1:

[0178] When a user launches the "Dream Media" app, an interface for entering the content and emotions of their dream is displayed on the device. A text box for accepting input and a drop-down menu for selecting emotions are displayed. The data entered is the content of the dream (text) and emotions (options).

[0179] Step 2:

[0180] The user enters the content of their dream into the text box and selects an emotion from the drop-down menu. Then, the user presses the "Send" button, and the input is sent from the device to the server. The input data is the content of the dream and emotional information. The input data is sent to the server as output.

[0181] Step 3:

[0182] The server receives dream content and emotional information sent by the user. The input data is the dream content and emotional information. The server then inputs this data as prompts to a generative AI model (e.g., OpenAI GPT-4 API). The output is the interpretation result from the generative AI model and associated content (video, music, story).

[0183] Step 4:

[0184] The server receives the interpretation and related content returned by the generative AI model. It generates an interpretation based on the prompt and generates related content. This process involves analyzing data related to the meaning and emotions of the dream and selecting or generating corresponding images and music. The output is the interpretation and related content.

[0185] Step 5:

[0186] The server transmits the received interpretation result and the related content to the terminal, and data including the interpretation result and the related content is provided to the terminal as an output.

[0187] Step 6:

[0188] The device displays the interpretation results and related content to the user and plays related videos and music. The user can deepen their understanding by viewing and listening to the dream interpretation results and related content. The output is the displayed interpretation results and the played content.

[0189] Step 7:

[0190] If the user has a follow-up question about the interpretation result, they enter the question in the input field displayed on the terminal and press the "Send" button. The input data is the follow-up question. The follow-up question is sent to the server as output.

[0191] Step 8:

[0192] The server receives the follow-up question and inputs it again as a prompt sentence to the generative AI model. The input data is the follow-up question. The generative AI model generates a new interpretation result and returns it to the server. The output is the new interpretation result.

[0193] Step 9:

[0194] The server receives the new interpretation result and sends it back to the terminal. As an output, the new interpretation result is sent to the terminal.

[0195] Step 10:

[0196] The terminal displays the new interpretation to the user, who can then review the interpretation and understand the deeper meaning of the dream. The output is a display of the new interpretation.

[0197] 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.

[0198] The present invention is a system that allows users to input the content and emotions of their dreams and provides a dream interpretation based on the input. This system includes an interface for users to input the content and emotions of their dreams, a mechanism for generating an interpretation using a generative AI model, a means for providing the generated interpretation to the user, and a function for responding to follow-up questions. It also combines an emotion engine that recognizes the user's emotions to provide more accurate dream interpretations.

[0199] Explaining program processing in natural language

[0200] 1. Launching the application

[0201] When a user launches the "Dream Navi" application on their device, an interface for entering the content and emotions of their dream is displayed on the device. The screen contains a text box for describing the content of the dream and a drop-down menu for selecting emotions.

[0202] 2. Inputting dream content and emotions

[0203] Users enter the details of their dream in the text box and select the corresponding emotion from a drop-down menu. Furthermore, the emotion engine automatically extracts emotions from the user's text input. Once input is complete, users can press the "Send" button, which sends the input from their device to the server.

[0204] 3. Dream content analysis

[0205] The server receives the dream content and emotional information sent by the user and uses an emotion engine to extract emotions from the input data. The extracted emotions and the original emotional data are input into a generative AI model. This generative AI model is used to analyze the dream content and emotions and generate a dream interpretation. For example, if the dream content is "getting lost in the forest" and the extracted emotion is "anxiety," the generative AI model will generate an interpretation such as "dreams of getting lost often indicate anxiety about the direction in one's current life."

[0206] 4. Presentation of interpretation results

[0207] The server receives the interpretation results returned by the generative AI model and sends them to the device. The device displays the interpretation results to the user, allowing the user to know the specific interpretation of their dream.

[0208] 5. Response to additional questions

[0209] If the user has further questions about the interpretation results, they enter the question in the input field displayed on the device and press the "Send" button. The device then sends this additional question to the server, which then inputs the question into the generative AI model to generate another interpretation. Once a new interpretation result is generated, the server sends it to the device, which then displays it to the user.

[0210] Specific examples

[0211] For example, if a user uses the "Dream Navi" application to input "I had a dream about drowning in the ocean" and select "fear" as the emotion, the data is sent to the server via the device. The server uses an emotion engine to extract emotions from the input data and inputs this data into the generative AI model. The generative AI model generates an interpretation result: "Dreams about drowning often indicate anxiety or fear about situations that are beyond one's control." This interpretation result is returned to the device and displayed to the user. Furthermore, if the user inputs an additional question, such as "Why have I been having this dream recently?", the server again uses the generative AI model to generate a new interpretation, returning the result: "Recurring dreams may indicate that the emotion or situation has not been resolved." Users can use these interpretations to gain a deeper understanding of their own psychological state and challenges.

[0212] The above-described processing is carried out in the system of the present invention, so that the user can gain a deeper understanding of the meaning of his or her dreams and promote psychological growth.

[0213] The processing flow will be explained below.

[0214] Explaining program processing in natural language

[0215] 1. Launching the application

[0216] Step 1:

[0217] The user taps the "Yume Navi" application on the device to launch it.

[0218] The device displays the initial screen of the application, with a field for entering the dream content and a menu for selecting emotions on standby.

[0219] 2. Inputting dream content and emotions

[0220] Step 2:

[0221] The user enters the content of their dream into a text box.

[0222] The terminal stores the dream content as it is typed in a buffer.

[0223] Step 3:

[0224] The user selects the emotion they felt when they had the dream from a drop-down menu.

[0225] The device stores the selected emotion information in a buffer.

[0226] Step 4:

[0227] The user presses the "Send" button.

[0228] The device constructs the input dream content and emotional information in JSON format and sends an HTTP request to the server.

[0229] 3. Dream content analysis

[0230] Step 5:

[0231] The server receives an HTTP request from the device.

[0232] The server analyzes the transmitted data and extracts the dream content and emotional information.

[0233] Step 6:

[0234] The server uses an emotion engine to recognize emotions from the user's text input.

[0235] The server stores the recognized emotion information in a buffer.

[0236] Step 7:

[0237] The server integrates the emotions recognized by the emotion engine with the emotions selected by the user.

[0238] The server inputs this emotional information into a generative AI model.

[0239] Step 8:

[0240] The server inputs the dream content and emotions into the generated AI model.

[0241] The server calls the appropriate API and inputs the dream content, "lost in the forest," and the integrated emotion, "anxiety," into the model.

[0242] Step 9:

[0243] A generative AI model analyzes the data and generates a dream interpretation.

[0244] Based on the content of the dream, the generative AI model generates an interpretation such as "Dreams of getting lost often indicate anxiety about direction in current life" and returns it to the server.

[0245] 4. Presentation of interpretation results

[0246] Step 10:

[0247] The server obtains the interpretation results from the generative AI model.

[0248] The server formats the dream interpretation results into an appropriate format and sends them to the device as an HTTP response.

[0249] Step 11:

[0250] The terminal receives a response from the server.

[0251] The terminal displays the interpretation results it receives to the user.

[0252] 5. Response to additional questions

[0253] Step 12:

[0254] The user asks follow-up questions about the interpretation results.

[0255] The user enters the question in the input field displayed on the terminal and presses the "Send" button.

[0256] Step 13:

[0257] The device constructs the question in JSON format and sends an HTTP request to the server.

[0258] The server receives the query data from the terminal.

[0259] Step 14:

[0260] The server inputs question data into the generative AI model.

[0261] The server calls the appropriate API to input additional questions into the model.

[0262] Step 15:

[0263] A generative AI model generates answers to follow-up questions.

[0264] The generative AI model generates an answer such as, "Having the same dream repeatedly may indicate that your anxiety or problem has not been resolved," and returns it to the server.

[0265] Step 16:

[0266] The server sends the generated response to the terminal.

[0267] The server formats the response data in an appropriate format and sends it to the terminal as an HTTP response.

[0268] Step 17:

[0269] The terminal receives a response from the server.

[0270] The terminal displays the received answer to the user.

[0271] Specific examples

[0272] For example, if a user uses the "Dream Navi" application to enter "I had a dream about drowning in the ocean" and select "fear" as the emotion, the data is sent to the server via the device. The server uses its emotion engine to recognize the emotion "fear" from the user's text input and inputs this emotion information into the generative AI model. The generative AI model generates an interpretation result: "Dreams about drowning often indicate anxiety or fear about situations that are beyond one's control." This interpretation result is returned to the device and displayed to the user. Furthermore, if the user enters an additional question, such as "Why have I been having this dream recently?", the server again uses the generative AI model to generate a new interpretation, returning the result: "Recurring dreams may indicate that the emotion or situation has not been resolved." Based on these interpretations, the user can gain a deeper understanding of their own psychological state and challenges.

[0273] The above-described processing is carried out in the system of the present invention, so that the user can gain a deeper understanding of the meaning of his or her dreams and promote psychological growth.

[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 dream interpretation systems can only provide limited information about the dream content entered by the user, and lack a deep understanding of the user's emotions and the background of the dream. Furthermore, when the user asks additional questions, it is difficult to generate an appropriate interpretation for those questions.

[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 a means for providing an interface on a terminal that allows a user to input dream content and emotions, a means for automatically extracting emotions using an emotion engine based on the input dream content and emotions, and a means for inputting the input dream content and extracted emotion information into a generative AI model to generate an interpretation result. This makes it possible to provide a deeper interpretation of the dream content and emotions input by the user, and to regenerate an appropriate interpretation in response to additional questions.

[0279] "User" refers to the person who uses the system and inputs the content of their dreams and their emotions.

[0280] A "terminal" is a device used by a user to input dream content and emotions, and includes smartphones, tablets, etc.

[0281] "Interface" refers to the screen display and input means that allow the user to input the content and emotions of their dreams using a terminal.

[0282] "Emotion engine" refers to a software component that automatically extracts emotions from user-entered text.

[0283] A "generative AI model" refers to an artificial intelligence model that generates dream interpretations based on the dream content and emotional information input by the user.

[0284] A "prompt sentence" is a data format that is input into the generative AI model and refers to a sentence that contains details of the dream and emotional information.

[0285] "Interpretation results" refers to data showing the interpretation of dreams that is output as a result of analysis by the generative AI model.

[0286] "Additional questions" refer to questions that users input to ask for further questions or information about the interpretation results.

[0287] The present invention is a system that allows users to input the content and emotions of their dreams and provides a dream interpretation based on the input. This system includes an interface through which users input the content and emotions of their dreams, a mechanism for generating an interpretation using a generative AI model, a means for providing the generated interpretation to the user, and a function for responding to follow-up questions. Furthermore, by combining it with an emotion engine that recognizes the user's emotions, it is possible to provide a more accurate dream interpretation.

[0288] When a user launches the "Dream Navi" application on their device, an interface for entering the details of their dream and their emotions is displayed on the device. The screen contains a text box for describing the details of their dream and a drop-down menu for selecting emotions. The user enters the details of their dream in the text box and selects the corresponding emotion from the drop-down menu. In addition, the emotion engine has the function of automatically extracting emotions from the user's text input.

[0289] Once input is complete, the user presses the "Send" button, which sends the input from the device to the server. The server receives the dream content and emotional information sent by the user and uses an emotion engine to extract emotions from the input data. The extracted emotions and the original emotional data are input into a generative AI model. This generative AI model is used to analyze the dream content and emotions and generate a dream interpretation.

[0290] For example, if the content of the dream is "I got lost in the forest" and the extracted emotion is "anxiety," the generative AI model will generate an interpretation such as, "Dreams of getting lost often indicate anxiety about the direction of one's current life." A specific example of a prompt sentence would be, "Dream content: I got lost in the forest, Emotion: Anxiety."

[0291] The server receives the interpretation results returned by the generative AI model and sends them to the device. The device displays the interpretation results to the user, allowing the user to know the specific interpretation of their dream.

[0292] If the user has further questions about the interpretation results, they enter the question in the input field displayed on the device and press the "Send" button. The device then sends this additional question to the server, which then inputs the question into the generative AI model to generate another interpretation. Once a new interpretation result is generated, the server sends it to the device, which then displays it to the user.

[0293] For example, if a user uses the "Dream Navi" application to input "I had a dream about drowning in the ocean" and select "fear" as the emotion, the data is sent to the server via the device. The server uses an emotion engine to extract emotions from the input data and inputs this data into the generative AI model. The generative AI model generates an interpretation result: "Dreams about drowning often indicate anxiety or fear about situations that are beyond one's control." This interpretation result is returned to the device and displayed to the user. Furthermore, if the user inputs an additional question, such as "Why have I been having this dream recently?", the server again uses the generative AI model to generate a new interpretation, returning the result: "Recurring dreams may indicate that the emotion or situation has not been resolved." Users can use these interpretations to gain a deeper understanding of their own psychological state and challenges.

[0294] The above-described processing is carried out in the system of the present invention, so that the user can gain a deeper understanding of the meaning of his or her dreams and promote psychological growth.

[0295] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0296] Step 1:

[0297] The user launches the "Dream Navi" application on the device. The device displays an interface for entering the details of the dream and emotions. This screen displays a text box for describing the dream and a drop-down menu for selecting emotions. The user enters the details of the dream in the text box and selects the corresponding emotion from the drop-down menu.

[0298] Input: User inputs dream content and emotions

[0299] Output: Data describing the content and emotions of the dream

[0300] Step 2:

[0301] When the user presses the "Send" button, the device sends the entered dream content and emotional information to the server. The device then activates the emotion engine, which automatically extracts emotions from the user's text input. The generated data includes both the emotions selected by the user and those extracted by the emotion engine.

[0302] Input: Data describing dream content and emotions

[0303] Output: Data containing the emotions selected by the user and the emotions extracted by the emotion engine

[0304] Step 3:

[0305] The server receives the dream content and emotional information sent from the device. The server inputs the received data into the generative AI model and analyzes the dream content and emotions. The server sends the prompt text to the generative AI model in the format "Dream content: [Dream details], Emotion: [Emotion details]".

[0306] Input: Data containing user-selected emotions and emotions extracted by the emotion engine

[0307] Output: Prompt sentence for the generative AI model

[0308] Step 4:

[0309] The generative AI model analyzes the prompt and generates a dream interpretation. For example, if the prompt is "Dream content: Lost in the forest, Emotion: Anxiety," it generates the interpretation "Dreams of getting lost often indicate anxiety about the direction you are taking in your current life."

[0310] Input: A prompt for the generative AI model

[0311] Output: Interpretation results from the generative AI model

[0312] Step 5:

[0313] The server receives the generated interpretation result and sends it to the device. The device then displays the received interpretation result to the user. For example, if the interpretation result is "Dreams of getting lost often indicate anxiety about the direction of your current life," this content will be displayed.

[0314] Input: Interpretation results by generative AI model

[0315] Output: The interpretation results that are displayed to the user

[0316] Step 6:

[0317] If the user wants to ask a follow-up question about the interpretation result, the user inputs the question into the input field of the terminal and presses the "Send" button. The terminal then sends the follow-up question to the server.

[0318] Input: Additional questions from the user

[0319] Output: Additional questions sent to the server

[0320] Step 7:

[0321] The server receives the follow-up question and inputs it into the generative AI model. The generative AI model analyzes the new prompt and generates a new interpretation. For example, if the user's follow-up question is "Why have I been having this dream recently?", the generated interpretation is "Recurring dreams may indicate that the emotion or situation has not been resolved."

[0322] Input: Additional question sent to the server

[0323] Output: New interpretation results from the generative AI model

[0324] Step 8:

[0325] The server receives the new interpretation and sends it to the terminal, which displays the new interpretation to the user, allowing the user to gain a deeper understanding based on the new interpretation.

[0326] Input: New interpretation results from generative AI models

[0327] Output: The new interpretation result that is displayed to the user

[0328] (Application example 2)

[0329] 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."

[0330] Conventional dream interpretation systems only provide analysis results based on the content and emotions of the dream entered by the user, and lack supplementary information and related content to gain a deeper understanding of the user's psychological state. Another problem is the lack of a mechanism to provide individual psychological content or advice related to dream interpretation. This leaves users insufficiently supported in gaining a deeper understanding of the meaning of their dreams and promoting psychological growth.

[0331] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0332] In this invention, the server includes means for having a user input dream content and emotions, means for using a generative model to generate an interpretation result based on the input dream content and emotions, means for presenting the generated interpretation result to the user, means for accepting additional questions from the user regarding the interpretation result, means for generating an interpretation result using the generative model again based on the additional questions, means for providing related psychological content based on the dream content and emotions, and means for presenting the provided psychological content to the user. This enables the user to obtain related psychological content in addition to the dream interpretation result, thereby further understanding the meaning of the dream and promoting psychological growth.

[0333] "User" refers to the person or people who use the system.

[0334] "Dream content" refers to the specific events or situations that the user dreams about.

[0335] "Emotion" refers to the user's feelings and psychological responses related to the dream.

[0336] "Generative model" refers to the artificial intelligence technology used to generate dream interpretation results based on the dream content and emotions input by the user.

[0337] "Interpretation results" refer to the meaning and analysis results of dreams generated by analyzing the content and emotions of dreams using a generative model.

[0338] "Additional questions" refer to questions entered by the user to request further information or explanation about the initial interpretation results.

[0339] "Server" refers to the computer system used to process input data from users and run generative models.

[0340] "Relevant Psychological Content" refers to psychology-based information and materials provided in relation to the dream interpretation results.

[0341] "Psychological growth" refers to the user deepening their self-understanding and growing spiritually through their dreams and their interpretations.

[0342] The present invention is a system that allows a user to input dream content and emotions and provides dream interpretation results based on the input. The system includes an interface for the user to input dream content and emotions, a mechanism for generating an interpretation using a generative AI model, a means for providing the generated interpretation result to the user, and a function for responding to follow-up questions. The system can also provide relevant psychological content based on the dream content and emotions and present it to the user. Specific embodiments of the present invention are described in detail below.

[0343] Hardware and Software

[0344] This system includes mobile devices such as smartphones and tablets, and software components that run on the server. Specific hardware used is often iPhones or Android devices. Software used is React Native for mobile application development, and AWS Lambda and DynamoDB for server-side processing. AWS Comprehend is used for natural language processing, and OpenAI's GPT-4 is used as the generative AI model.

[0345] Data processing and calculation

[0346] 1. User Input:

[0347] Users start the "Yume Navi" application on their smartphone, enter the details of their dream in a text box, and select an emotion from a drop-down menu. The system also has a function that automatically extracts emotions from the text content using an emotion engine.

[0348] 2. Data transmission:

[0349] When the user completes the input and presses the "Send" button, the input data is sent from the terminal to the server.

[0350] 3. Analysis process:

[0351] The server then uses AWS Comprehend to analyze the dream content and emotions again, and inputs the analysis results and the original emotion data into GPT-4 to generate a dream interpretation.

[0352] 4. Results presentation:

[0353] The generated interpretation results are received by the server and sent to the user's terminal for display.

[0354] 5. Additional Content Offerings:

[0355] Based on the interpretation results, relevant psychological content, such as psychology-based articles and video content on relaxation techniques, is provided, helping users to gain a deeper understanding of the meaning of their dreams.

[0356] Specific examples

[0357] For example, if a user uses the "Dream Navi" application to input "I had a dream about drowning in the ocean" and select "fear" as the emotion, the data is sent to the server via the device. The server uses an emotion engine to extract emotions from the input data and inputs this data into the generative AI model. The generative AI model then generates the interpretation that "dreams about drowning often indicate anxiety or fear about situations that one cannot control."

[0358] Furthermore, based on the interpretation results, related content such as psychological content on "how to deal with uncontrollable situations" and videos on "breathing techniques for relaxation" are provided, allowing users to understand the interpretation of their dreams and obtain useful information related to them.

[0359] Prompt Sentence Examples

[0360] prompt:

[0361] Dream content: "I had a dream that I was flying in the sky."

[0362] Emotion: "Freedom"

[0363] Generate an interpretation of this dream.

[0364] Example interpretation results from a generative AI model:

[0365] Interpretation:

[0366] "Dreams of flying often indicate a desire for liberation and freedom. They may reflect a desire to free yourself in your current life."

[0367] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0368] Step 1:

[0369] When a user launches the "Dream Navi" application on their device, an interface for entering the details of their dream and their emotions is displayed on the device. The user enters the details of their dream in a text box and selects an emotion from a drop-down menu. The emotion engine also has the function of automatically extracting emotions from the text input.

[0370] Input: Dream content and emotions.

[0371] Output: Dream content and emotion input data.

[0372] Step 2:

[0373] When the user presses the "Send" button, the device sends the entered dream content and emotional data to the server, which receives this data.

[0374] Input: User-supplied dream content and emotion data.

[0375] Output: The input data sent to the server.

[0376] Step 3:

[0377] The server uses AWS Comprehend to analyze the received dream content and emotion data, where the emotion engine re-extracts emotions from the text data and combines them with the user's input data.

[0378] Input: Dream content and emotion data sent from device.

[0379] Output: The data after sentiment analysis is complete.

[0380] Step 4:

[0381] The server inputs the emotion-analyzed data into the generative AI model GPT-4, which creates prompts to interpret the dream. The model generates an interpretation based on the content and emotions of the dream.

[0382] Input: Data that has undergone sentiment analysis.

[0383] Output: Dream interpretation results obtained from the generative model.

[0384] Step 5:

[0385] The server receives the generated interpretation results, sends them to the terminal, and displays them to the user, who can then view the interpretation results for their own dreams.

[0386] Input: Dream interpretation results obtained from the generative model.

[0387] Output: Dream interpretation results displayed on terminal.

[0388] Step 6:

[0389] Based on the interpretation results, the server retrieves relevant psychological content from the database and provides it to the user, including psychology-based articles and video content on relaxation techniques.

[0390] Input: The generated interpretation results.

[0391] Output: relevant psychological content.

[0392] Step 7:

[0393] The server sends the acquired psychological content to the user's device and displays it to the user, who can then obtain supplementary information and advice related to dream interpretation.

[0394] Input: relevant psychological content.

[0395] Output: Psychological content displayed on the user's device.

[0396] 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.

[0397] 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.

[0398] 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.

[0399] [Second embodiment]

[0400] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0401] 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.

[0402] 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).

[0403] 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.

[0404] 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.

[0405] 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).

[0406] 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.

[0407] 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.

[0408] 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.

[0409] 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.

[0410] 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.

[0411] 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."

[0412] The present invention is a system that allows a user to input the content and emotions of a dream and provides a dream interpretation based on the input. The system includes an interface for the user to input the content and emotions of the dream, a mechanism for generating an interpretation using a generative AI model, a means for providing the generated interpretation to the user, and a function for responding to follow-up questions.

[0413] Explaining program processing in natural language

[0414] 1. Launching the application

[0415] When a user launches the "Dream Navi" application on their device, an interface for entering the content and emotions of their dream is displayed on the device. The screen contains a text box for describing the content of the dream and a drop-down menu for selecting emotions.

[0416] 2. Inputting dream content and emotions

[0417] Users enter the details of their dream in the text box and select the corresponding emotion from the drop-down menu. Once the entry is complete, the user presses the "Send" button, which sends the entry from the device to the server.

[0418] 3. Dream content analysis

[0419] The server receives the dream content and emotional information sent by the user and inputs it into a generative AI model. This generative AI model is used to analyze the dream content and emotions and generate a dream interpretation. For example, if the dream content is "getting lost in the forest" and the emotion is "anxiety," the generative AI model will generate an interpretation such as "dreams of getting lost often indicate anxiety about the direction in your current life."

[0420] 4. Presentation of interpretation results

[0421] The server receives the interpretation results returned by the generative AI model and sends them to the device. The device displays the interpretation results to the user, allowing the user to know the specific interpretation of their dream.

[0422] 5. Response to additional questions

[0423] If the user has further questions about the interpretation results, they enter the question in the input field displayed on the device and press the "Send" button. The device then sends this additional question to the server, which then inputs the question into the generative AI model to generate another interpretation. Once a new interpretation result is generated, the server sends it to the device, which then displays it to the user.

[0424] Specific examples

[0425] For example, if a user uses the "Dream Navi" application to enter "I had a dream about drowning in the ocean" and select "fear" as the emotion, the data is sent to the server via the device. The server inputs this data into the generative AI model and generates an interpretation result: "Dreams about drowning often indicate anxiety or fear about situations that you cannot control." This interpretation result is returned to the device and displayed to the user. Furthermore, if the user inputs an additional question, such as "Why have I been having this dream recently?", the server will again use the generative AI model to generate a new interpretation, returning the result: "Recurring dreams may indicate that the emotion or situation has not been resolved." Users can use these interpretations to gain a deeper understanding of their own psychological state and challenges.

[0426] The above-described processing is carried out in the system of the present invention, so that the user can gain a deeper understanding of the meaning of his or her dreams and promote psychological growth.

[0427] The processing flow will be explained below.

[0428] Step 1:

[0429] The user taps the "Yume Navi" app on their device to launch it.

[0430] The device displays the initial screen of the application, with a field for entering the dream content and a menu for selecting emotions on standby.

[0431] Step 2:

[0432] Users enter the details of their dream into a text box and select the emotion they felt when they had the dream from a drop-down menu.

[0433] Your device stores the information you enter (e.g., you type "I was lost in the woods and was anxious" into a text box and select "Anxious" from a drop-down menu).

[0434] Step 3:

[0435] The user presses the "Send" button.

[0436] The device constructs dream content and emotional information in JSON format and sends an HTTP request to the server.

[0437] Step 4:

[0438] The server receives an HTTP request from the device.

[0439] The server analyzes the transmitted data and extracts the dream content and emotional information.

[0440] Step 5:

[0441] The server inputs dream data into the generative AI model.

[0442] The server calls the appropriate API and inputs the dream content ("lost in the forest") and the emotion ("anxiety") into the model.

[0443] Step 6:

[0444] A generative AI model analyzes the data and generates a dream interpretation.

[0445] Based on the content of the dream, the generative AI model generates an interpretation such as "Dreams of getting lost often indicate anxiety about direction in current life" and returns it to the server.

[0446] Step 7:

[0447] The server obtains the interpretation results from the generative AI model.

[0448] The server formats the dream interpretation results into an appropriate format and sends them to the device as an HTTP response.

[0449] Step 8:

[0450] The terminal receives a response from the server.

[0451] The terminal displays the interpretation results it receives to the user.

[0452] Step 9:

[0453] If the user has a follow-up question about the interpretation result, the user inputs the question into the terminal.

[0454] The device constructs the question in JSON format and sends an HTTP request to the server.

[0455] Step 10:

[0456] The server receives a query from the terminal.

[0457] The server analyzes the question data and inputs the question into the generative AI model.

[0458] Step 11:

[0459] A generative AI model generates answers to follow-up questions.

[0460] The generative AI model generates an answer such as, "Having the same dream repeatedly may indicate that your anxiety or problem has not been resolved," and returns it to the server.

[0461] Step 12:

[0462] The server sends the generated response to the terminal.

[0463] The server formats the response data in an appropriate format and sends it to the terminal as an HTTP response.

[0464] Step 13:

[0465] The terminal receives a response from the server.

[0466] The terminal displays the received answer to the user.

[0467] Example 1

[0468] 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."

[0469] Psychological interpretation based on dream content and emotions has traditionally been done manually, which has the drawback of requiring time and effort. Furthermore, interpretations of dream content and emotions are often subjective and often produce inconsistent results. Furthermore, it has been difficult to quickly provide interpretations for additional questions. There is a need for a system that can solve these problems and provide fast, objective interpretation results.

[0470] 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.

[0471] In this invention, the server includes an interface means for allowing the user to input the content and emotions of their dreams, a processing means using a generative AI model to generate an interpretation result based on the input content and emotions of their dreams, and a display means to present the generated interpretation result to the user, thereby enabling a quick and objective interpretation of the content and emotions of their dreams.

[0472] "Interface means" refers to an input device and software that allows the user to input the content and emotions of their dreams.

[0473] "Generative AI model" refers to algorithms and systems that use artificial intelligence techniques to analyze input data and generate interpretive results.

[0474] "Processing means" refers to the functions and programs that allow the server to input input data into the generative AI model and generate analysis and interpretation results.

[0475] "Display means" refers to an output device and software for displaying the generated interpretation results to a user on a terminal.

[0476] "Input means" refers to an input device and software that allows a user to input additional questions regarding the interpretation results.

[0477] The present invention is a system that allows a user to input the content and emotions of a dream and provides a dream interpretation using a generative AI model based on the input. This system includes an interface means through which the user inputs the content and emotions of the dream, a generative AI model that generates an interpretation, a display means that presents the generated interpretation result to the user, and a function that responds to follow-up questions. An embodiment of the present invention will be described in detail below.

[0478] Hardware and software configuration

[0479] The user starts the "Dream Navi" application using a device such as a smartphone or tablet. An interface for inputting the content and emotions of the dream is displayed on the device. This interface includes a text box for describing the content of the dream and a drop-down menu for selecting emotions.

[0480] The data entered by the user is sent from the device to a server. The server then inputs the received dream content and emotional data into a generative AI model. The generative AI model primarily uses natural language processing technology to analyze the input data and generate an interpretation of the dream. OpenAI's GPT-3 and other models are used for the generative AI model.

[0481] The generated interpretation results are sent from the server to the device, which then displays the results to the user. If the user enters an additional question, the device resends the question to the server, which then re-inputs it into the generative AI model to generate a new interpretation. This allows the user to obtain a more detailed interpretation result.

[0482] Specific examples

[0483] For example, consider the case where a user uses the "Dream Navi" application to input "I had a dream about drowning in the ocean" and select "fear" as the emotion. This data is sent from the device to the server, which then inputs it into the generative AI model. The generative AI model generates an interpretation such as "Dreams about drowning often indicate anxiety or fear about situations that are beyond one's control." The interpretation result is returned to the device and displayed to the user.

[0484] If the user further questions, such as "Why have I been having this dream recently?", the question is sent to the server again, and the generative AI model generates a new interpretation. The new interpretation is returned and displayed to the user: "Recurring dreams may indicate that the emotion or situation has not been resolved."

[0485] In this way, users can understand the meaning of their dreams and gain insight into their psychological state. The system of the present invention allows users to obtain quick and objective dream interpretations.

[0486] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0487] Program processing steps

[0488] Step 1:

[0489] The user launches the "Dream Navi" application on their device. An interface for inputting the content and emotions of their dream is displayed on the device screen. The input fields include text boxes and drop-down menus.

[0490] Input: Application launch operation

[0491] Output: Interface for inputting dream content and emotions

[0492] Step 2:

[0493] The user enters the details of their dream into a text box and selects an emotion from a drop-down menu, then presses the "Send" button, which sends the entered data from the device to the server.

[0494] Input: User-supplied dream content and emotions

[0495] Output: Dream content and emotion data sent to the server

[0496] Step 3:

[0497] The server converts the received dream content and emotional data into a format that is easy to analyze. This data is then input into a generative AI model, which then analyzes the data and generates a dream interpretation.

[0498] Input: Dream content and emotional data submitted by the user

[0499] Output: Dream interpretation by the generative AI model

[0500] Step 4:

[0501] The server receives the interpretation results returned by the generative AI model and sends them to the device, which then displays the results to the user, allowing them to confirm the interpretation of their dream.

[0502] Input: Interpretation results returned by the generative AI model

[0503] Output: Dream interpretation displayed on the terminal

[0504] Step 5:

[0505] The user enters additional questions about the interpretation results in the input field and presses the "Send" button. The terminal then sends the additional questions to the server.

[0506] Input: Additional question from the user

[0507] Output: Additional question data sent to the server

[0508] Step 6:

[0509] The server inputs the received follow-up questions into the generative AI model again to generate a new interpretation. The generative AI model generates a new interpretation result based on the follow-up questions.

[0510] Input: Additional question data

[0511] Output: New dream interpretation

[0512] Step 7:

[0513] The server receives the new interpretation results returned by the generative AI model and sends them back to the device, which then displays the new interpretation results to the user, allowing the user to obtain a more detailed interpretation.

[0514] Input: New interpretation result

[0515] Output: New dream interpretation displayed on terminal

[0516] (Application example 1)

[0517] 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."

[0518] Conventional dream interpretation systems allow users to input the content and emotions of their dreams and receive interpretation results, but they are unable to provide specific content related to the dream (videos, music, stories, etc.). This means that users are unable to gain further experience based on the dream interpretation results, and their understanding of the interpretation results is limited.

[0519] 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.

[0520] In this invention, the server includes means for having a user input dream content and emotions, means for using a generative model to generate an interpretation result based on the input dream content and emotions, means for presenting the generated interpretation result to the user, means for generating content such as video, music, or a story related to the interpretation result, means for delivering the related content to the user, means for receiving follow-up questions from the user regarding the interpretation result, means for generating an interpretation result using the generative model again based on the follow-up questions, means for presenting the regenerated interpretation result to the user, and means for generating and delivering new content based on the regenerated interpretation result. This allows the user to receive specific content based on the dream interpretation result, deepening their understanding of the interpretation result and improving the user experience.

[0521] "User" refers to an individual who uses the system.

[0522] "Dream content" is a text description of specific events and situations related to the dream the user had.

[0523] "Emotion" refers to the psychological state the user felt when dreaming.

[0524] "Input means" refers to the interface through which the user provides the content and emotions of their dreams to the system, and includes text input boxes, drop-down menus, etc.

[0525] A "generative model" is an artificial intelligence model used to generate interpretation results based on dream content and emotions.

[0526] The "interpretation result" is information indicating the meaning and interpretation of the dream analyzed by the generative model.

[0527] "Content" refers to information such as video, music, or story related to the interpretation result.

[0528] "Delivery means" refers to a means for providing generated interpretation results and related content to users.

[0529] A "follow-up question" is a question or inquiry that a user enters to seek more detailed information or understanding of the interpretation result.

[0530] The present invention is a system that allows a user to input the content and emotions of a dream, generates an interpretation result based on the content using a generative AI model, provides the interpretation result to the user, and distributes related content. This system includes an interface through which the user inputs the content and emotions of the dream, a mechanism for generating the interpretation result and related content using the generative AI model, a means for providing the generated interpretation result and content to the user, and a function for responding to follow-up questions.

[0531] Hardware and software used

[0532] Interface: React Native (cross-platform app development)

[0533] Server and data analysis: Python framework (Flask or Django)

[0534] Generative AI model: OpenAI GPT-4API

[0535] Database: PostgreSQL

[0536] Video / music streaming: AWS S3 and YouTube API

[0537] System Operation

[0538] 1. Launch the application:

[0539] When a user launches the "Dream Media" application on their smartphone or smart glasses, an interface for entering the content and emotions of their dreams appears. The screen contains a text box for describing the content of the dream and a drop-down menu for selecting emotions.

[0540] 2. Input of dream content and emotions:

[0541] Users enter the details of their dream in the text box and select the emotion they felt from the drop-down menu. Once they have finished entering the details, they press the "Send" button, which sends the details from their device (smartphone or smart glasses) to the server.

[0542] 3. Dream Content Analysis:

[0543] The server receives the dream content and emotional information sent by the user and inputs it into a generative AI model, which analyzes the dream content and emotions and generates an interpretation of the dream and related content (video, music, story).

[0544] 4. Presenting interpretation results and content:

[0545] The server receives the interpretation results and related content returned by the generative AI model and sends them to the device, which then displays the interpretation results and content to the user and plays related video and music.

[0546] 5. Response to additional questions:

[0547] If the user has further questions about the interpretation results, they enter the question in the input field and press the "Submit" button. The server inputs this additional question into the generative AI model again to generate a new interpretation. The server receives the results and new content, sends them to the device, and displays them to the user.

[0548] Specific examples

[0549] For example, if a user uses the "Dream Media" app to input "I had a dream about falling from a high place" and select "fear" as the emotion, the data is sent to the server via the device. The server inputs this data into the generative AI model, which generates the interpretation that "dreams about falling from a high place often indicate that you are afraid of failure or setbacks," along with music to alleviate the fear and calming images. The interpretation and content are then sent back to the device, where they are displayed and played back for the user. Furthermore, if the user inputs an additional question such as "Why have I been having this dream a lot recently?", the server will again use the generative AI model to generate a new interpretation and return the result that "recurring dreams may indicate that the emotion or situation in question has not been resolved."

[0550] Prompt Sentence Examples

[0551] Dream content: Dream of falling from a high place Emotion: Fear

[0552] What does this dream mean? Also, please generate images, music, and a story related to this dream."

[0553] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0554] Step 1:

[0555] When a user launches the "Dream Media" app, an interface for entering the content and emotions of their dream is displayed on the device. A text box for accepting input and a drop-down menu for selecting emotions are displayed. The data entered is the content of the dream (text) and emotions (options).

[0556] Step 2:

[0557] The user enters the content of their dream into the text box and selects an emotion from the drop-down menu. Then, the user presses the "Send" button, and the input is sent from the device to the server. The input data is the content of the dream and emotional information. The input data is sent to the server as output.

[0558] Step 3:

[0559] The server receives dream content and emotional information sent by the user. The input data is the dream content and emotional information. The server then inputs this data as prompts to a generative AI model (e.g., OpenAI GPT-4 API). The output is the interpretation result from the generative AI model and associated content (video, music, story).

[0560] Step 4:

[0561] The server receives the interpretation and related content returned by the generative AI model. It generates an interpretation based on the prompt and generates related content. This process involves analyzing data related to the meaning and emotions of the dream and selecting or generating corresponding images and music. The output is the interpretation and related content.

[0562] Step 5:

[0563] The server transmits the received interpretation result and the related content to the terminal, and data including the interpretation result and the related content is provided to the terminal as an output.

[0564] Step 6:

[0565] The device displays the interpretation results and related content to the user and plays related videos and music. The user can deepen their understanding by viewing and listening to the dream interpretation results and related content. The output is the displayed interpretation results and the played content.

[0566] Step 7:

[0567] If the user has a follow-up question about the interpretation result, they enter the question in the input field displayed on the terminal and press the "Send" button. The input data is the follow-up question. The follow-up question is sent to the server as output.

[0568] Step 8:

[0569] The server receives the follow-up question and inputs it again as a prompt sentence to the generative AI model. The input data is the follow-up question. The generative AI model generates a new interpretation result and returns it to the server. The output is the new interpretation result.

[0570] Step 9:

[0571] The server receives the new interpretation result and sends it back to the terminal. As an output, the new interpretation result is sent to the terminal.

[0572] Step 10:

[0573] The terminal displays the new interpretation to the user, who can then review the interpretation and understand the deeper meaning of the dream. The output is a display of the new interpretation.

[0574] 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.

[0575] The present invention is a system that allows users to input the content and emotions of their dreams and provides a dream interpretation based on the input. This system includes an interface for users to input the content and emotions of their dreams, a mechanism for generating an interpretation using a generative AI model, a means for providing the generated interpretation to the user, and a function for responding to follow-up questions. It also combines an emotion engine that recognizes the user's emotions to provide more accurate dream interpretations.

[0576] Explaining program processing in natural language

[0577] 1. Launching the application

[0578] When a user launches the "Dream Navi" application on their device, an interface for entering the content and emotions of their dream is displayed on the device. The screen contains a text box for describing the content of the dream and a drop-down menu for selecting emotions.

[0579] 2. Inputting dream content and emotions

[0580] Users enter the details of their dream in the text box and select the corresponding emotion from a drop-down menu. Furthermore, the emotion engine automatically extracts emotions from the user's text input. Once input is complete, users can press the "Send" button, which sends the input from their device to the server.

[0581] 3. Dream content analysis

[0582] The server receives the dream content and emotional information sent by the user and uses an emotion engine to extract emotions from the input data. The extracted emotions and the original emotional data are input into a generative AI model. This generative AI model is used to analyze the dream content and emotions and generate a dream interpretation. For example, if the dream content is "getting lost in the forest" and the extracted emotion is "anxiety," the generative AI model will generate an interpretation such as "dreams of getting lost often indicate anxiety about the direction in one's current life."

[0583] 4. Presentation of interpretation results

[0584] The server receives the interpretation results returned by the generative AI model and sends them to the device. The device displays the interpretation results to the user, allowing the user to know the specific interpretation of their dream.

[0585] 5. Response to additional questions

[0586] If the user has further questions about the interpretation results, they enter the question in the input field displayed on the device and press the "Send" button. The device then sends this additional question to the server, which then inputs the question into the generative AI model to generate another interpretation. Once a new interpretation result is generated, the server sends it to the device, which then displays it to the user.

[0587] Specific examples

[0588] For example, if a user uses the "Dream Navi" application to input "I had a dream about drowning in the ocean" and select "fear" as the emotion, the data is sent to the server via the device. The server uses an emotion engine to extract emotions from the input data and inputs this data into the generative AI model. The generative AI model generates an interpretation result: "Dreams about drowning often indicate anxiety or fear about situations that are beyond one's control." This interpretation result is returned to the device and displayed to the user. Furthermore, if the user inputs an additional question, such as "Why have I been having this dream recently?", the server again uses the generative AI model to generate a new interpretation, returning the result: "Recurring dreams may indicate that the emotion or situation has not been resolved." Users can use these interpretations to gain a deeper understanding of their own psychological state and challenges.

[0589] The above-described processing is carried out in the system of the present invention, so that the user can gain a deeper understanding of the meaning of his or her dreams and promote psychological growth.

[0590] The processing flow will be explained below.

[0591] Explaining program processing in natural language

[0592] 1. Launching the application

[0593] Step 1:

[0594] The user taps the "Yume Navi" application on the device to launch it.

[0595] The device displays the initial screen of the application, with a field for entering the dream content and a menu for selecting emotions on standby.

[0596] 2. Inputting dream content and emotions

[0597] Step 2:

[0598] The user enters the content of their dream into a text box.

[0599] The terminal stores the dream content as it is typed in a buffer.

[0600] Step 3:

[0601] The user selects the emotion they felt when they had the dream from a drop-down menu.

[0602] The device stores the selected emotion information in a buffer.

[0603] Step 4:

[0604] The user presses the "Send" button.

[0605] The device constructs the input dream content and emotional information in JSON format and sends an HTTP request to the server.

[0606] 3. Dream content analysis

[0607] Step 5:

[0608] The server receives an HTTP request from the device.

[0609] The server analyzes the transmitted data and extracts the dream content and emotional information.

[0610] Step 6:

[0611] The server uses an emotion engine to recognize emotions from the user's text input.

[0612] The server stores the recognized emotion information in a buffer.

[0613] Step 7:

[0614] The server integrates the emotions recognized by the emotion engine with the emotions selected by the user.

[0615] The server inputs this emotional information into a generative AI model.

[0616] Step 8:

[0617] The server inputs the dream content and emotions into the generated AI model.

[0618] The server calls the appropriate API and inputs the dream content, "lost in the forest," and the integrated emotion, "anxiety," into the model.

[0619] Step 9:

[0620] A generative AI model analyzes the data and generates a dream interpretation.

[0621] Based on the content of the dream, the generative AI model generates an interpretation such as "Dreams of getting lost often indicate anxiety about direction in current life" and returns it to the server.

[0622] 4. Presentation of interpretation results

[0623] Step 10:

[0624] The server obtains the interpretation results from the generative AI model.

[0625] The server formats the dream interpretation results into an appropriate format and sends them to the device as an HTTP response.

[0626] Step 11:

[0627] The terminal receives a response from the server.

[0628] The terminal displays the interpretation results it receives to the user.

[0629] 5. Response to additional questions

[0630] Step 12:

[0631] The user asks follow-up questions about the interpretation results.

[0632] The user enters the question in the input field displayed on the terminal and presses the "Send" button.

[0633] Step 13:

[0634] The device constructs the question in JSON format and sends an HTTP request to the server.

[0635] The server receives the query data from the terminal.

[0636] Step 14:

[0637] The server inputs question data into the generative AI model.

[0638] The server calls the appropriate API to input additional questions into the model.

[0639] Step 15:

[0640] A generative AI model generates answers to follow-up questions.

[0641] The generative AI model generates an answer such as, "Having the same dream repeatedly may indicate that your anxiety or problem has not been resolved," and returns it to the server.

[0642] Step 16:

[0643] The server sends the generated response to the terminal.

[0644] The server formats the response data in an appropriate format and sends it to the terminal as an HTTP response.

[0645] Step 17:

[0646] The terminal receives a response from the server.

[0647] The terminal displays the received answer to the user.

[0648] Specific examples

[0649] For example, if a user uses the "Dream Navi" application to enter "I had a dream about drowning in the ocean" and select "fear" as the emotion, the data is sent to the server via the device. The server uses its emotion engine to recognize the emotion "fear" from the user's text input and inputs this emotion information into the generative AI model. The generative AI model generates an interpretation result: "Dreams about drowning often indicate anxiety or fear about situations that are beyond one's control." This interpretation result is returned to the device and displayed to the user. Furthermore, if the user enters an additional question, such as "Why have I been having this dream recently?", the server again uses the generative AI model to generate a new interpretation, returning the result: "Recurring dreams may indicate that the emotion or situation has not been resolved." Based on these interpretations, the user can gain a deeper understanding of their own psychological state and challenges.

[0650] The above-described processing is carried out in the system of the present invention, so that the user can gain a deeper understanding of the meaning of his or her dreams and promote psychological growth.

[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 dream interpretation systems can only provide limited information about the dream content entered by the user, and lack a deep understanding of the user's emotions and the background of the dream. Furthermore, when the user asks additional questions, it is difficult to generate an appropriate interpretation for those questions.

[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 a means for providing an interface on a terminal that allows a user to input dream content and emotions, a means for automatically extracting emotions using an emotion engine based on the input dream content and emotions, and a means for inputting the input dream content and extracted emotion information into a generative AI model to generate an interpretation result. This makes it possible to provide a deeper interpretation of the dream content and emotions input by the user, and to regenerate an appropriate interpretation in response to additional questions.

[0656] "User" refers to the person who uses the system and inputs the content of their dreams and their emotions.

[0657] A "terminal" is a device used by a user to input dream content and emotions, and includes smartphones, tablets, etc.

[0658] "Interface" refers to the screen display and input means that allow the user to input the content and emotions of their dreams using a terminal.

[0659] "Emotion engine" refers to a software component that automatically extracts emotions from user-entered text.

[0660] A "generative AI model" refers to an artificial intelligence model that generates dream interpretations based on the dream content and emotional information input by the user.

[0661] A "prompt sentence" is a data format that is input into the generative AI model and refers to a sentence that contains details of the dream and emotional information.

[0662] "Interpretation results" refers to data showing the interpretation of dreams that is output as a result of analysis by the generative AI model.

[0663] "Additional questions" refer to questions that users input to ask for further questions or information about the interpretation results.

[0664] The present invention is a system that allows users to input the content and emotions of their dreams and provides a dream interpretation based on the input. This system includes an interface through which users input the content and emotions of their dreams, a mechanism for generating an interpretation using a generative AI model, a means for providing the generated interpretation to the user, and a function for responding to follow-up questions. Furthermore, by combining it with an emotion engine that recognizes the user's emotions, it is possible to provide a more accurate dream interpretation.

[0665] When a user launches the "Dream Navi" application on their device, an interface for entering the details of their dream and their emotions is displayed on the device. The screen contains a text box for describing the details of their dream and a drop-down menu for selecting emotions. The user enters the details of their dream in the text box and selects the corresponding emotion from the drop-down menu. In addition, the emotion engine has the function of automatically extracting emotions from the user's text input.

[0666] Once input is complete, the user presses the "Send" button, which sends the input from the device to the server. The server receives the dream content and emotional information sent by the user and uses an emotion engine to extract emotions from the input data. The extracted emotions and the original emotional data are input into a generative AI model. This generative AI model is used to analyze the dream content and emotions and generate a dream interpretation.

[0667] For example, if the content of the dream is "I got lost in the forest" and the extracted emotion is "anxiety," the generative AI model will generate an interpretation such as, "Dreams of getting lost often indicate anxiety about the direction of one's current life." A specific example of a prompt sentence would be, "Dream content: I got lost in the forest, Emotion: Anxiety."

[0668] The server receives the interpretation results returned by the generative AI model and sends them to the device. The device displays the interpretation results to the user, allowing the user to know the specific interpretation of their dream.

[0669] If the user has further questions about the interpretation results, they enter the question in the input field displayed on the device and press the "Send" button. The device then sends this additional question to the server, which then inputs the question into the generative AI model to generate another interpretation. Once a new interpretation result is generated, the server sends it to the device, which then displays it to the user.

[0670] For example, if a user uses the "Dream Navi" application to input "I had a dream about drowning in the ocean" and select "fear" as the emotion, the data is sent to the server via the device. The server uses an emotion engine to extract emotions from the input data and inputs this data into the generative AI model. The generative AI model generates an interpretation result: "Dreams about drowning often indicate anxiety or fear about situations that are beyond one's control." This interpretation result is returned to the device and displayed to the user. Furthermore, if the user inputs an additional question, such as "Why have I been having this dream recently?", the server again uses the generative AI model to generate a new interpretation, returning the result: "Recurring dreams may indicate that the emotion or situation has not been resolved." Users can use these interpretations to gain a deeper understanding of their own psychological state and challenges.

[0671] The above-described processing is carried out in the system of the present invention, so that the user can gain a deeper understanding of the meaning of his or her dreams and promote psychological growth.

[0672] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0673] Step 1:

[0674] The user launches the "Dream Navi" application on the device. The device displays an interface for entering the details of the dream and emotions. This screen displays a text box for describing the dream and a drop-down menu for selecting emotions. The user enters the details of the dream in the text box and selects the corresponding emotion from the drop-down menu.

[0675] Input: User inputs dream content and emotions

[0676] Output: Data describing the content and emotions of the dream

[0677] Step 2:

[0678] When the user presses the "Send" button, the device sends the entered dream content and emotional information to the server. The device then activates the emotion engine, which automatically extracts emotions from the user's text input. The generated data includes both the emotions selected by the user and those extracted by the emotion engine.

[0679] Input: Data describing dream content and emotions

[0680] Output: Data containing the emotions selected by the user and the emotions extracted by the emotion engine

[0681] Step 3:

[0682] The server receives the dream content and emotional information sent from the device. The server inputs the received data into the generative AI model and analyzes the dream content and emotions. The server sends the prompt text to the generative AI model in the format "Dream content: [Dream details], Emotion: [Emotion details]".

[0683] Input: Data containing user-selected emotions and emotions extracted by the emotion engine

[0684] Output: Prompt sentence for the generative AI model

[0685] Step 4:

[0686] The generative AI model analyzes the prompt and generates a dream interpretation. For example, if the prompt is "Dream content: Lost in the forest, Emotion: Anxiety," it generates the interpretation "Dreams of getting lost often indicate anxiety about the direction you are taking in your current life."

[0687] Input: A prompt for the generative AI model

[0688] Output: Interpretation results from the generative AI model

[0689] Step 5:

[0690] The server receives the generated interpretation result and sends it to the device. The device then displays the received interpretation result to the user. For example, if the interpretation result is "Dreams of getting lost often indicate anxiety about the direction of your current life," this content will be displayed.

[0691] Input: Interpretation results by generative AI model

[0692] Output: The interpretation results that are displayed to the user

[0693] Step 6:

[0694] If the user wants to ask a follow-up question about the interpretation result, the user inputs the question into the input field of the terminal and presses the "Send" button. The terminal then sends the follow-up question to the server.

[0695] Input: Additional questions from the user

[0696] Output: Additional questions sent to the server

[0697] Step 7:

[0698] The server receives the follow-up question and inputs it into the generative AI model. The generative AI model analyzes the new prompt and generates a new interpretation. For example, if the user's follow-up question is "Why have I been having this dream recently?", the generated interpretation is "Recurring dreams may indicate that the emotion or situation has not been resolved."

[0699] Input: Additional question sent to the server

[0700] Output: New interpretation results from the generative AI model

[0701] Step 8:

[0702] The server receives the new interpretation and sends it to the terminal, which displays the new interpretation to the user, allowing the user to gain a deeper understanding based on the new interpretation.

[0703] Input: New interpretation results from generative AI models

[0704] Output: The new interpretation result that is displayed to the user

[0705] (Application example 2)

[0706] 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."

[0707] Conventional dream interpretation systems only provide analysis results based on the content and emotions of the dream entered by the user, and lack supplementary information and related content to gain a deeper understanding of the user's psychological state. Another problem is the lack of a mechanism to provide individual psychological content or advice related to dream interpretation. This leaves users insufficiently supported in gaining a deeper understanding of the meaning of their dreams and promoting psychological growth.

[0708] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0709] In this invention, the server includes means for having a user input dream content and emotions, means for using a generative model to generate an interpretation result based on the input dream content and emotions, means for presenting the generated interpretation result to the user, means for accepting additional questions from the user regarding the interpretation result, means for generating an interpretation result using the generative model again based on the additional questions, means for providing related psychological content based on the dream content and emotions, and means for presenting the provided psychological content to the user. This enables the user to obtain related psychological content in addition to the dream interpretation result, thereby further understanding the meaning of the dream and promoting psychological growth.

[0710] "User" refers to the person or people who use the system.

[0711] "Dream content" refers to the specific events or situations that the user dreams about.

[0712] "Emotion" refers to the user's feelings and psychological responses related to the dream.

[0713] "Generative model" refers to the artificial intelligence technology used to generate dream interpretation results based on the dream content and emotions input by the user.

[0714] "Interpretation results" refer to the meaning and analysis results of dreams generated by analyzing the content and emotions of dreams using a generative model.

[0715] "Additional questions" refer to questions entered by the user to request further information or explanation about the initial interpretation results.

[0716] "Server" refers to the computer system used to process input data from users and run generative models.

[0717] "Relevant Psychological Content" refers to psychology-based information and materials provided in relation to the dream interpretation results.

[0718] "Psychological growth" refers to the user deepening their self-understanding and growing spiritually through their dreams and their interpretations.

[0719] The present invention is a system that allows a user to input dream content and emotions and provides dream interpretation results based on the input. The system includes an interface for the user to input dream content and emotions, a mechanism for generating an interpretation using a generative AI model, a means for providing the generated interpretation result to the user, and a function for responding to follow-up questions. The system can also provide relevant psychological content based on the dream content and emotions and present it to the user. Specific embodiments of the present invention are described in detail below.

[0720] Hardware and Software

[0721] This system includes mobile devices such as smartphones and tablets, and software components that run on the server. Specific hardware used is often iPhones or Android devices. Software used is React Native for mobile application development, and AWS Lambda and DynamoDB for server-side processing. AWS Comprehend is used for natural language processing, and OpenAI's GPT-4 is used as the generative AI model.

[0722] Data processing and calculation

[0723] 1. User Input:

[0724] Users start the "Yume Navi" application on their smartphone, enter the details of their dream in a text box, and select an emotion from a drop-down menu. The system also has a function that automatically extracts emotions from the text content using an emotion engine.

[0725] 2. Data transmission:

[0726] When the user completes the input and presses the "Send" button, the input data is sent from the terminal to the server.

[0727] 3. Analysis process:

[0728] The server then uses AWS Comprehend to analyze the dream content and emotions again, and inputs the analysis results and the original emotion data into GPT-4 to generate a dream interpretation.

[0729] 4. Results presentation:

[0730] The generated interpretation results are received by the server and sent to the user's terminal for display.

[0731] 5. Additional Content Offerings:

[0732] Based on the interpretation results, relevant psychological content, such as psychology-based articles and video content on relaxation techniques, is provided, helping users to gain a deeper understanding of the meaning of their dreams.

[0733] Specific examples

[0734] For example, if a user uses the "Dream Navi" application to input "I had a dream about drowning in the ocean" and select "fear" as the emotion, the data is sent to the server via the device. The server uses an emotion engine to extract emotions from the input data and inputs this data into the generative AI model. The generative AI model then generates the interpretation that "dreams about drowning often indicate anxiety or fear about situations that one cannot control."

[0735] Furthermore, based on the interpretation results, related content such as psychological content on "how to deal with uncontrollable situations" and videos on "breathing techniques for relaxation" are provided, allowing users to understand the interpretation of their dreams and obtain useful information related to them.

[0736] Prompt Sentence Examples

[0737] prompt:

[0738] Dream content: "I had a dream that I was flying in the sky."

[0739] Emotion: "Freedom"

[0740] Generate an interpretation of this dream.

[0741] Example interpretation results from a generative AI model:

[0742] Interpretation:

[0743] "Dreams of flying often indicate a desire for liberation and freedom. They may reflect a desire to free yourself in your current life."

[0744] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0745] Step 1:

[0746] When a user launches the "Dream Navi" application on their device, an interface for entering the details of their dream and their emotions is displayed on the device. The user enters the details of their dream in a text box and selects an emotion from a drop-down menu. The emotion engine also has the function of automatically extracting emotions from the text input.

[0747] Input: Dream content and emotions.

[0748] Output: Dream content and emotion input data.

[0749] Step 2:

[0750] When the user presses the "Send" button, the device sends the entered dream content and emotional data to the server, which receives this data.

[0751] Input: User-supplied dream content and emotion data.

[0752] Output: The input data sent to the server.

[0753] Step 3:

[0754] The server uses AWS Comprehend to analyze the received dream content and emotion data, where the emotion engine re-extracts emotions from the text data and combines them with the user's input data.

[0755] Input: Dream content and emotion data sent from device.

[0756] Output: The data after sentiment analysis is complete.

[0757] Step 4:

[0758] The server inputs the emotion-analyzed data into the generative AI model GPT-4, which creates prompts to interpret the dream. The model generates an interpretation based on the content and emotions of the dream.

[0759] Input: Data that has undergone sentiment analysis.

[0760] Output: Dream interpretation results obtained from the generative model.

[0761] Step 5:

[0762] The server receives the generated interpretation results, sends them to the terminal, and displays them to the user, who can then view the interpretation results for their own dreams.

[0763] Input: Dream interpretation results obtained from the generative model.

[0764] Output: Dream interpretation results displayed on terminal.

[0765] Step 6:

[0766] Based on the interpretation results, the server retrieves relevant psychological content from the database and provides it to the user, including psychology-based articles and video content on relaxation techniques.

[0767] Input: The generated interpretation results.

[0768] Output: relevant psychological content.

[0769] Step 7:

[0770] The server sends the acquired psychological content to the user's device and displays it to the user, who can then obtain supplementary information and advice related to dream interpretation.

[0771] Input: relevant psychological content.

[0772] Output: Psychological content displayed on the user's device.

[0773] 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.

[0774] 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.

[0775] 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.

[0776] [Third embodiment]

[0777] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0778] 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.

[0779] 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).

[0780] 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.

[0781] 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.

[0782] 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).

[0783] 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.

[0784] 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.

[0785] 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.

[0786] 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.

[0787] 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.

[0788] 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."

[0789] The present invention is a system that allows a user to input the content and emotions of a dream and provides a dream interpretation based on the input. The system includes an interface for the user to input the content and emotions of the dream, a mechanism for generating an interpretation using a generative AI model, a means for providing the generated interpretation to the user, and a function for responding to follow-up questions.

[0790] Explaining program processing in natural language

[0791] 1. Launching the application

[0792] When a user launches the "Dream Navi" application on their device, an interface for entering the content and emotions of their dream is displayed on the device. The screen contains a text box for describing the content of the dream and a drop-down menu for selecting emotions.

[0793] 2. Inputting dream content and emotions

[0794] Users enter the details of their dream in the text box and select the corresponding emotion from the drop-down menu. Once the entry is complete, the user presses the "Send" button, which sends the entry from the device to the server.

[0795] 3. Dream content analysis

[0796] The server receives the dream content and emotional information sent by the user and inputs it into a generative AI model. This generative AI model is used to analyze the dream content and emotions and generate a dream interpretation. For example, if the dream content is "getting lost in the forest" and the emotion is "anxiety," the generative AI model will generate an interpretation such as "dreams of getting lost often indicate anxiety about the direction in your current life."

[0797] 4. Presentation of interpretation results

[0798] The server receives the interpretation results returned by the generative AI model and sends them to the device. The device displays the interpretation results to the user, allowing the user to know the specific interpretation of their dream.

[0799] 5. Response to additional questions

[0800] If the user has further questions about the interpretation results, they enter the question in the input field displayed on the device and press the "Send" button. The device then sends this additional question to the server, which then inputs the question into the generative AI model to generate another interpretation. Once a new interpretation result is generated, the server sends it to the device, which then displays it to the user.

[0801] Specific examples

[0802] For example, if a user uses the "Dream Navi" application to enter "I had a dream about drowning in the ocean" and select "fear" as the emotion, the data is sent to the server via the device. The server inputs this data into the generative AI model and generates an interpretation result: "Dreams about drowning often indicate anxiety or fear about situations that you cannot control." This interpretation result is returned to the device and displayed to the user. Furthermore, if the user inputs an additional question, such as "Why have I been having this dream recently?", the server will again use the generative AI model to generate a new interpretation, returning the result: "Recurring dreams may indicate that the emotion or situation has not been resolved." Users can use these interpretations to gain a deeper understanding of their own psychological state and challenges.

[0803] The above-described processing is carried out in the system of the present invention, so that the user can gain a deeper understanding of the meaning of his or her dreams and promote psychological growth.

[0804] The processing flow will be explained below.

[0805] Step 1:

[0806] The user taps the "Yume Navi" app on their device to launch it.

[0807] The device displays the initial screen of the application, with a field for entering the dream content and a menu for selecting emotions on standby.

[0808] Step 2:

[0809] Users enter the details of their dream into a text box and select the emotion they felt when they had the dream from a drop-down menu.

[0810] Your device stores the information you enter (e.g., you type "I was lost in the woods and was anxious" into a text box and select "Anxious" from a drop-down menu).

[0811] Step 3:

[0812] The user presses the "Send" button.

[0813] The device constructs dream content and emotional information in JSON format and sends an HTTP request to the server.

[0814] Step 4:

[0815] The server receives an HTTP request from the device.

[0816] The server analyzes the transmitted data and extracts the dream content and emotional information.

[0817] Step 5:

[0818] The server inputs dream data into the generative AI model.

[0819] The server calls the appropriate API and inputs the dream content ("lost in the forest") and the emotion ("anxiety") into the model.

[0820] Step 6:

[0821] A generative AI model analyzes the data and generates a dream interpretation.

[0822] Based on the content of the dream, the generative AI model generates an interpretation such as "Dreams of getting lost often indicate anxiety about direction in current life" and returns it to the server.

[0823] Step 7:

[0824] The server obtains the interpretation results from the generative AI model.

[0825] The server formats the dream interpretation results into an appropriate format and sends them to the device as an HTTP response.

[0826] Step 8:

[0827] The terminal receives a response from the server.

[0828] The terminal displays the interpretation results it receives to the user.

[0829] Step 9:

[0830] If the user has a follow-up question about the interpretation result, the user inputs the question into the terminal.

[0831] The device constructs the question in JSON format and sends an HTTP request to the server.

[0832] Step 10:

[0833] The server receives a query from the terminal.

[0834] The server analyzes the question data and inputs the question into the generative AI model.

[0835] Step 11:

[0836] A generative AI model generates answers to follow-up questions.

[0837] The generative AI model generates an answer such as, "Having the same dream repeatedly may indicate that your anxiety or problem has not been resolved," and returns it to the server.

[0838] Step 12:

[0839] The server sends the generated response to the terminal.

[0840] The server formats the response data in an appropriate format and sends it to the terminal as an HTTP response.

[0841] Step 13:

[0842] The terminal receives a response from the server.

[0843] The terminal displays the received answer to the user.

[0844] Example 1

[0845] 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."

[0846] Psychological interpretation based on dream content and emotions has traditionally been done manually, which has the drawback of requiring time and effort. Furthermore, interpretations of dream content and emotions are often subjective and often produce inconsistent results. Furthermore, it has been difficult to quickly provide interpretations for additional questions. There is a need for a system that can solve these problems and provide fast, objective interpretation results.

[0847] 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.

[0848] In this invention, the server includes an interface means for allowing the user to input the content and emotions of their dreams, a processing means using a generative AI model to generate an interpretation result based on the input content and emotions of their dreams, and a display means to present the generated interpretation result to the user, thereby enabling a quick and objective interpretation of the content and emotions of their dreams.

[0849] "Interface means" refers to an input device and software that allows the user to input the content and emotions of their dreams.

[0850] "Generative AI model" refers to algorithms and systems that use artificial intelligence techniques to analyze input data and generate interpretive results.

[0851] "Processing means" refers to the functions and programs that allow the server to input input data into the generative AI model and generate analysis and interpretation results.

[0852] "Display means" refers to an output device and software for displaying the generated interpretation results to a user on a terminal.

[0853] "Input means" refers to an input device and software that allows a user to input additional questions regarding the interpretation results.

[0854] The present invention is a system that allows a user to input the content and emotions of a dream and provides a dream interpretation using a generative AI model based on the input. This system includes an interface means through which the user inputs the content and emotions of the dream, a generative AI model that generates an interpretation, a display means that presents the generated interpretation result to the user, and a function that responds to follow-up questions. An embodiment of the present invention will be described in detail below.

[0855] Hardware and software configuration

[0856] The user starts the "Dream Navi" application using a device such as a smartphone or tablet. An interface for inputting the content and emotions of the dream is displayed on the device. This interface includes a text box for describing the content of the dream and a drop-down menu for selecting emotions.

[0857] The data entered by the user is sent from the device to a server. The server then inputs the received dream content and emotional data into a generative AI model. The generative AI model primarily uses natural language processing technology to analyze the input data and generate an interpretation of the dream. OpenAI's GPT-3 and other models are used for the generative AI model.

[0858] The generated interpretation results are sent from the server to the device, which then displays the results to the user. If the user enters an additional question, the device resends the question to the server, which then re-inputs it into the generative AI model to generate a new interpretation. This allows the user to obtain a more detailed interpretation result.

[0859] Specific examples

[0860] For example, consider the case where a user uses the "Dream Navi" application to input "I had a dream about drowning in the ocean" and select "fear" as the emotion. This data is sent from the device to the server, which then inputs it into the generative AI model. The generative AI model generates an interpretation such as "Dreams about drowning often indicate anxiety or fear about situations that are beyond one's control." The interpretation result is returned to the device and displayed to the user.

[0861] If the user further questions, such as "Why have I been having this dream recently?", the question is sent to the server again, and the generative AI model generates a new interpretation. The new interpretation is returned and displayed to the user: "Recurring dreams may indicate that the emotion or situation has not been resolved."

[0862] In this way, users can understand the meaning of their dreams and gain insight into their psychological state. The system of the present invention allows users to obtain quick and objective dream interpretations.

[0863] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0864] Program processing steps

[0865] Step 1:

[0866] The user launches the "Dream Navi" application on their device. An interface for inputting the content and emotions of their dream is displayed on the device screen. The input fields include text boxes and drop-down menus.

[0867] Input: Application launch operation

[0868] Output: Interface for inputting dream content and emotions

[0869] Step 2:

[0870] The user enters the details of their dream into a text box and selects an emotion from a drop-down menu, then presses the "Send" button, which sends the entered data from the device to the server.

[0871] Input: User-supplied dream content and emotions

[0872] Output: Dream content and emotion data sent to the server

[0873] Step 3:

[0874] The server converts the received dream content and emotional data into a format that is easy to analyze. This data is then input into a generative AI model, which then analyzes the data and generates a dream interpretation.

[0875] Input: Dream content and emotional data submitted by the user

[0876] Output: Dream interpretation by the generative AI model

[0877] Step 4:

[0878] The server receives the interpretation results returned by the generative AI model and sends them to the device, which then displays the results to the user, allowing them to confirm the interpretation of their dream.

[0879] Input: Interpretation results returned by the generative AI model

[0880] Output: Dream interpretation displayed on the terminal

[0881] Step 5:

[0882] The user enters additional questions about the interpretation results in the input field and presses the "Send" button. The terminal then sends the additional questions to the server.

[0883] Input: Additional question from the user

[0884] Output: Additional question data sent to the server

[0885] Step 6:

[0886] The server inputs the received follow-up questions into the generative AI model again to generate a new interpretation. The generative AI model generates a new interpretation result based on the follow-up questions.

[0887] Input: Additional question data

[0888] Output: New dream interpretation

[0889] Step 7:

[0890] The server receives the new interpretation results returned by the generative AI model and sends them back to the device, which then displays the new interpretation results to the user, allowing the user to obtain a more detailed interpretation.

[0891] Input: New interpretation result

[0892] Output: New dream interpretation displayed on terminal

[0893] (Application example 1)

[0894] 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."

[0895] Conventional dream interpretation systems allow users to input the content and emotions of their dreams and receive interpretation results, but they are unable to provide specific content related to the dream (videos, music, stories, etc.). This means that users are unable to gain further experience based on the dream interpretation results, and their understanding of the interpretation results is limited.

[0896] 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.

[0897] In this invention, the server includes means for having a user input dream content and emotions, means for using a generative model to generate an interpretation result based on the input dream content and emotions, means for presenting the generated interpretation result to the user, means for generating content such as video, music, or a story related to the interpretation result, means for delivering the related content to the user, means for receiving follow-up questions from the user regarding the interpretation result, means for generating an interpretation result using the generative model again based on the follow-up questions, means for presenting the regenerated interpretation result to the user, and means for generating and delivering new content based on the regenerated interpretation result. This allows the user to receive specific content based on the dream interpretation result, deepening their understanding of the interpretation result and improving the user experience.

[0898] "User" refers to an individual who uses the system.

[0899] "Dream content" is a text description of specific events and situations related to the dream the user had.

[0900] "Emotion" refers to the psychological state the user felt when dreaming.

[0901] "Input means" refers to the interface through which the user provides the content and emotions of their dreams to the system, and includes text input boxes, drop-down menus, etc.

[0902] A "generative model" is an artificial intelligence model used to generate interpretation results based on dream content and emotions.

[0903] The "interpretation result" is information indicating the meaning and interpretation of the dream analyzed by the generative model.

[0904] "Content" refers to information such as video, music, or story related to the interpretation result.

[0905] "Delivery means" refers to a means for providing generated interpretation results and related content to users.

[0906] A "follow-up question" is a question or inquiry that a user enters to seek more detailed information or understanding of the interpretation result.

[0907] The present invention is a system that allows a user to input the content and emotions of a dream, generates an interpretation result based on the content using a generative AI model, provides the interpretation result to the user, and distributes related content. This system includes an interface through which the user inputs the content and emotions of the dream, a mechanism for generating the interpretation result and related content using the generative AI model, a means for providing the generated interpretation result and content to the user, and a function for responding to follow-up questions.

[0908] Hardware and software used

[0909] Interface: React Native (cross-platform app development)

[0910] Server and data analysis: Python framework (Flask or Django)

[0911] Generative AI model: OpenAI GPT-4API

[0912] Database: PostgreSQL

[0913] Video / music streaming: AWS S3 and YouTube API

[0914] System Operation

[0915] 1. Launch the application:

[0916] When a user launches the "Dream Media" application on their smartphone or smart glasses, an interface for entering the content and emotions of their dreams appears. The screen contains a text box for describing the content of the dream and a drop-down menu for selecting emotions.

[0917] 2. Input of dream content and emotions:

[0918] Users enter the details of their dream in the text box and select the emotion they felt from the drop-down menu. Once they have finished entering the details, they press the "Send" button, which sends the details from their device (smartphone or smart glasses) to the server.

[0919] 3. Dream Content Analysis:

[0920] The server receives the dream content and emotional information sent by the user and inputs it into a generative AI model, which analyzes the dream content and emotions and generates an interpretation of the dream and related content (video, music, story).

[0921] 4. Presenting interpretation results and content:

[0922] The server receives the interpretation results and related content returned by the generative AI model and sends them to the device, which then displays the interpretation results and content to the user and plays related video and music.

[0923] 5. Response to additional questions:

[0924] If the user has further questions about the interpretation results, they enter the question in the input field and press the "Submit" button. The server inputs this additional question into the generative AI model again to generate a new interpretation. The server receives the results and new content, sends them to the device, and displays them to the user.

[0925] Specific examples

[0926] For example, if a user uses the "Dream Media" app to input "I had a dream about falling from a high place" and select "fear" as the emotion, the data is sent to the server via the device. The server inputs this data into the generative AI model, which generates the interpretation that "dreams about falling from a high place often indicate that you are afraid of failure or setbacks," along with music to alleviate the fear and calming images. The interpretation and content are then sent back to the device, where they are displayed and played back for the user. Furthermore, if the user inputs an additional question such as "Why have I been having this dream a lot recently?", the server will again use the generative AI model to generate a new interpretation and return the result that "recurring dreams may indicate that the emotion or situation in question has not been resolved."

[0927] Prompt Sentence Examples

[0928] Dream content: Dream of falling from a high place Emotion: Fear

[0929] What does this dream mean? Also, please generate images, music, and a story related to this dream."

[0930] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0931] Step 1:

[0932] When a user launches the "Dream Media" app, an interface for entering the content and emotions of their dream is displayed on the device. A text box for accepting input and a drop-down menu for selecting emotions are displayed. The data entered is the content of the dream (text) and emotions (options).

[0933] Step 2:

[0934] The user enters the content of their dream into the text box and selects an emotion from the drop-down menu. Then, the user presses the "Send" button, and the input is sent from the device to the server. The input data is the content of the dream and emotional information. The input data is sent to the server as output.

[0935] Step 3:

[0936] The server receives dream content and emotional information sent by the user. The input data is the dream content and emotional information. The server then inputs this data as prompts to a generative AI model (e.g., OpenAI GPT-4 API). The output is the interpretation result from the generative AI model and associated content (video, music, story).

[0937] Step 4:

[0938] The server receives the interpretation and related content returned by the generative AI model. It generates an interpretation based on the prompt and generates related content. This process involves analyzing data related to the meaning and emotions of the dream and selecting or generating corresponding images and music. The output is the interpretation and related content.

[0939] Step 5:

[0940] The server transmits the received interpretation result and the related content to the terminal, and data including the interpretation result and the related content is provided to the terminal as an output.

[0941] Step 6:

[0942] The device displays the interpretation results and related content to the user and plays related videos and music. The user can deepen their understanding by viewing and listening to the dream interpretation results and related content. The output is the displayed interpretation results and the played content.

[0943] Step 7:

[0944] If the user has a follow-up question about the interpretation result, they enter the question in the input field displayed on the terminal and press the "Send" button. The input data is the follow-up question. The follow-up question is sent to the server as output.

[0945] Step 8:

[0946] The server receives the follow-up question and inputs it again as a prompt sentence to the generative AI model. The input data is the follow-up question. The generative AI model generates a new interpretation result and returns it to the server. The output is the new interpretation result.

[0947] Step 9:

[0948] The server receives the new interpretation result and sends it back to the terminal. As an output, the new interpretation result is sent to the terminal.

[0949] Step 10:

[0950] The terminal displays the new interpretation to the user, who can then review the interpretation and understand the deeper meaning of the dream. The output is a display of the new interpretation.

[0951] 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.

[0952] The present invention is a system that allows users to input the content and emotions of their dreams and provides a dream interpretation based on the input. This system includes an interface for users to input the content and emotions of their dreams, a mechanism for generating an interpretation using a generative AI model, a means for providing the generated interpretation to the user, and a function for responding to follow-up questions. It also combines an emotion engine that recognizes the user's emotions to provide more accurate dream interpretations.

[0953] Explaining program processing in natural language

[0954] 1. Launching the application

[0955] When a user launches the "Dream Navi" application on their device, an interface for entering the content and emotions of their dream is displayed on the device. The screen contains a text box for describing the content of the dream and a drop-down menu for selecting emotions.

[0956] 2. Inputting dream content and emotions

[0957] Users enter the details of their dream in the text box and select the corresponding emotion from a drop-down menu. Furthermore, the emotion engine automatically extracts emotions from the user's text input. Once input is complete, users can press the "Send" button, which sends the input from their device to the server.

[0958] 3. Dream content analysis

[0959] The server receives the dream content and emotional information sent by the user and uses an emotion engine to extract emotions from the input data. The extracted emotions and the original emotional data are input into a generative AI model. This generative AI model is used to analyze the dream content and emotions and generate a dream interpretation. For example, if the dream content is "getting lost in the forest" and the extracted emotion is "anxiety," the generative AI model will generate an interpretation such as "dreams of getting lost often indicate anxiety about the direction in one's current life."

[0960] 4. Presentation of interpretation results

[0961] The server receives the interpretation results returned by the generative AI model and sends them to the device. The device displays the interpretation results to the user, allowing the user to know the specific interpretation of their dream.

[0962] 5. Response to additional questions

[0963] If the user has further questions about the interpretation results, they enter the question in the input field displayed on the device and press the "Send" button. The device then sends this additional question to the server, which then inputs the question into the generative AI model to generate another interpretation. Once a new interpretation result is generated, the server sends it to the device, which then displays it to the user.

[0964] Specific examples

[0965] For example, if a user uses the "Dream Navi" application to input "I had a dream about drowning in the ocean" and select "fear" as the emotion, the data is sent to the server via the device. The server uses an emotion engine to extract emotions from the input data and inputs this data into the generative AI model. The generative AI model generates an interpretation result: "Dreams about drowning often indicate anxiety or fear about situations that are beyond one's control." This interpretation result is returned to the device and displayed to the user. Furthermore, if the user inputs an additional question, such as "Why have I been having this dream recently?", the server again uses the generative AI model to generate a new interpretation, returning the result: "Recurring dreams may indicate that the emotion or situation has not been resolved." Users can use these interpretations to gain a deeper understanding of their own psychological state and challenges.

[0966] The above-described processing is carried out in the system of the present invention, so that the user can gain a deeper understanding of the meaning of his or her dreams and promote psychological growth.

[0967] The processing flow will be explained below.

[0968] Explaining program processing in natural language

[0969] 1. Launching the application

[0970] Step 1:

[0971] The user taps the "Yume Navi" application on the device to launch it.

[0972] The device displays the initial screen of the application, with a field for entering the dream content and a menu for selecting emotions on standby.

[0973] 2. Inputting dream content and emotions

[0974] Step 2:

[0975] The user enters the content of their dream into a text box.

[0976] The terminal stores the dream content as it is typed in a buffer.

[0977] Step 3:

[0978] The user selects the emotion they felt when they had the dream from a drop-down menu.

[0979] The device stores the selected emotion information in a buffer.

[0980] Step 4:

[0981] The user presses the "Send" button.

[0982] The device constructs the input dream content and emotional information in JSON format and sends an HTTP request to the server.

[0983] 3. Dream content analysis

[0984] Step 5:

[0985] The server receives an HTTP request from the device.

[0986] The server analyzes the transmitted data and extracts the dream content and emotional information.

[0987] Step 6:

[0988] The server uses an emotion engine to recognize emotions from the user's text input.

[0989] The server stores the recognized emotion information in a buffer.

[0990] Step 7:

[0991] The server integrates the emotions recognized by the emotion engine with the emotions selected by the user.

[0992] The server inputs this emotional information into a generative AI model.

[0993] Step 8:

[0994] The server inputs the dream content and emotions into the generated AI model.

[0995] The server calls the appropriate API and inputs the dream content, "lost in the forest," and the integrated emotion, "anxiety," into the model.

[0996] Step 9:

[0997] A generative AI model analyzes the data and generates a dream interpretation.

[0998] Based on the content of the dream, the generative AI model generates an interpretation such as "Dreams of getting lost often indicate anxiety about direction in current life" and returns it to the server.

[0999] 4. Presentation of interpretation results

[1000] Step 10:

[1001] The server obtains the interpretation results from the generative AI model.

[1002] The server formats the dream interpretation results into an appropriate format and sends them to the device as an HTTP response.

[1003] Step 11:

[1004] The terminal receives a response from the server.

[1005] The terminal displays the interpretation results it receives to the user.

[1006] 5. Response to additional questions

[1007] Step 12:

[1008] The user asks follow-up questions about the interpretation results.

[1009] The user enters the question in the input field displayed on the terminal and presses the "Send" button.

[1010] Step 13:

[1011] The device constructs the question in JSON format and sends an HTTP request to the server.

[1012] The server receives the query data from the terminal.

[1013] Step 14:

[1014] The server inputs question data into the generative AI model.

[1015] The server calls the appropriate API to input additional questions into the model.

[1016] Step 15:

[1017] A generative AI model generates answers to follow-up questions.

[1018] The generative AI model generates an answer such as, "Having the same dream repeatedly may indicate that your anxiety or problem has not been resolved," and returns it to the server.

[1019] Step 16:

[1020] The server sends the generated response to the terminal.

[1021] The server formats the response data in an appropriate format and sends it to the terminal as an HTTP response.

[1022] Step 17:

[1023] The terminal receives a response from the server.

[1024] The terminal displays the received answer to the user.

[1025] Specific examples

[1026] For example, if a user uses the "Dream Navi" application to enter "I had a dream about drowning in the ocean" and select "fear" as the emotion, the data is sent to the server via the device. The server uses its emotion engine to recognize the emotion "fear" from the user's text input and inputs this emotion information into the generative AI model. The generative AI model generates an interpretation result: "Dreams about drowning often indicate anxiety or fear about situations that are beyond one's control." This interpretation result is returned to the device and displayed to the user. Furthermore, if the user enters an additional question, such as "Why have I been having this dream recently?", the server again uses the generative AI model to generate a new interpretation, returning the result: "Recurring dreams may indicate that the emotion or situation has not been resolved." Based on these interpretations, the user can gain a deeper understanding of their own psychological state and challenges.

[1027] The above-described processing is carried out in the system of the present invention, so that the user can gain a deeper understanding of the meaning of his or her dreams and promote psychological growth.

[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 dream interpretation systems can only provide limited information about the dream content entered by the user, and lack a deep understanding of the user's emotions and the background of the dream. Furthermore, when the user asks additional questions, it is difficult to generate an appropriate interpretation for those questions.

[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 a means for providing an interface on a terminal that allows a user to input dream content and emotions, a means for automatically extracting emotions using an emotion engine based on the input dream content and emotions, and a means for inputting the input dream content and extracted emotion information into a generative AI model to generate an interpretation result. This makes it possible to provide a deeper interpretation of the dream content and emotions input by the user, and to regenerate an appropriate interpretation in response to additional questions.

[1033] "User" refers to the person who uses the system and inputs the content of their dreams and their emotions.

[1034] A "terminal" is a device used by a user to input dream content and emotions, and includes smartphones, tablets, etc.

[1035] "Interface" refers to the screen display and input means that allow the user to input the content and emotions of their dreams using a terminal.

[1036] "Emotion engine" refers to a software component that automatically extracts emotions from user-entered text.

[1037] A "generative AI model" refers to an artificial intelligence model that generates dream interpretations based on the dream content and emotional information input by the user.

[1038] A "prompt sentence" is a data format that is input into the generative AI model and refers to a sentence that contains details of the dream and emotional information.

[1039] "Interpretation results" refers to data showing the interpretation of dreams that is output as a result of analysis by the generative AI model.

[1040] "Additional questions" refer to questions that users input to ask for further questions or information about the interpretation results.

[1041] The present invention is a system that allows users to input the content and emotions of their dreams and provides a dream interpretation based on the input. This system includes an interface through which users input the content and emotions of their dreams, a mechanism for generating an interpretation using a generative AI model, a means for providing the generated interpretation to the user, and a function for responding to follow-up questions. Furthermore, by combining it with an emotion engine that recognizes the user's emotions, it is possible to provide a more accurate dream interpretation.

[1042] When a user launches the "Dream Navi" application on their device, an interface for entering the details of their dream and their emotions is displayed on the device. The screen contains a text box for describing the details of their dream and a drop-down menu for selecting emotions. The user enters the details of their dream in the text box and selects the corresponding emotion from the drop-down menu. In addition, the emotion engine has the function of automatically extracting emotions from the user's text input.

[1043] Once input is complete, the user presses the "Send" button, which sends the input from the device to the server. The server receives the dream content and emotional information sent by the user and uses an emotion engine to extract emotions from the input data. The extracted emotions and the original emotional data are input into a generative AI model. This generative AI model is used to analyze the dream content and emotions and generate a dream interpretation.

[1044] For example, if the content of the dream is "I got lost in the forest" and the extracted emotion is "anxiety," the generative AI model will generate an interpretation such as, "Dreams of getting lost often indicate anxiety about the direction of one's current life." A specific example of a prompt sentence would be, "Dream content: I got lost in the forest, Emotion: Anxiety."

[1045] The server receives the interpretation results returned by the generative AI model and sends them to the device. The device displays the interpretation results to the user, allowing the user to know the specific interpretation of their dream.

[1046] If the user has further questions about the interpretation results, they enter the question in the input field displayed on the device and press the "Send" button. The device then sends this additional question to the server, which then inputs the question into the generative AI model to generate another interpretation. Once a new interpretation result is generated, the server sends it to the device, which then displays it to the user.

[1047] For example, if a user uses the "Dream Navi" application to input "I had a dream about drowning in the ocean" and select "fear" as the emotion, the data is sent to the server via the device. The server uses an emotion engine to extract emotions from the input data and inputs this data into the generative AI model. The generative AI model generates an interpretation result: "Dreams about drowning often indicate anxiety or fear about situations that are beyond one's control." This interpretation result is returned to the device and displayed to the user. Furthermore, if the user inputs an additional question, such as "Why have I been having this dream recently?", the server again uses the generative AI model to generate a new interpretation, returning the result: "Recurring dreams may indicate that the emotion or situation has not been resolved." Users can use these interpretations to gain a deeper understanding of their own psychological state and challenges.

[1048] The above-described processing is carried out in the system of the present invention, so that the user can gain a deeper understanding of the meaning of his or her dreams and promote psychological growth.

[1049] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1050] Step 1:

[1051] The user launches the "Dream Navi" application on the device. The device displays an interface for entering the details of the dream and emotions. This screen displays a text box for describing the dream and a drop-down menu for selecting emotions. The user enters the details of the dream in the text box and selects the corresponding emotion from the drop-down menu.

[1052] Input: User inputs dream content and emotions

[1053] Output: Data describing the content and emotions of the dream

[1054] Step 2:

[1055] When the user presses the "Send" button, the device sends the entered dream content and emotional information to the server. The device then activates the emotion engine, which automatically extracts emotions from the user's text input. The generated data includes both the emotions selected by the user and those extracted by the emotion engine.

[1056] Input: Data describing dream content and emotions

[1057] Output: Data containing the emotions selected by the user and the emotions extracted by the emotion engine

[1058] Step 3:

[1059] The server receives the dream content and emotional information sent from the device. The server inputs the received data into the generative AI model and analyzes the dream content and emotions. The server sends the prompt text to the generative AI model in the format "Dream content: [Dream details], Emotion: [Emotion details]".

[1060] Input: Data containing user-selected emotions and emotions extracted by the emotion engine

[1061] Output: Prompt sentence for the generative AI model

[1062] Step 4:

[1063] The generative AI model analyzes the prompt and generates a dream interpretation. For example, if the prompt is "Dream content: Lost in the forest, Emotion: Anxiety," it generates the interpretation "Dreams of getting lost often indicate anxiety about the direction you are taking in your current life."

[1064] Input: A prompt for the generative AI model

[1065] Output: Interpretation results from the generative AI model

[1066] Step 5:

[1067] The server receives the generated interpretation result and sends it to the device. The device then displays the received interpretation result to the user. For example, if the interpretation result is "Dreams of getting lost often indicate anxiety about the direction of your current life," this content will be displayed.

[1068] Input: Interpretation results by generative AI model

[1069] Output: The interpretation results that are displayed to the user

[1070] Step 6:

[1071] If the user wants to ask a follow-up question about the interpretation result, the user inputs the question into the input field of the terminal and presses the "Send" button. The terminal then sends the follow-up question to the server.

[1072] Input: Additional questions from the user

[1073] Output: Additional questions sent to the server

[1074] Step 7:

[1075] The server receives the follow-up question and inputs it into the generative AI model. The generative AI model analyzes the new prompt and generates a new interpretation. For example, if the user's follow-up question is "Why have I been having this dream recently?", the generated interpretation is "Recurring dreams may indicate that the emotion or situation has not been resolved."

[1076] Input: Additional question sent to the server

[1077] Output: New interpretation results from the generative AI model

[1078] Step 8:

[1079] The server receives the new interpretation and sends it to the terminal, which displays the new interpretation to the user, allowing the user to gain a deeper understanding based on the new interpretation.

[1080] Input: New interpretation results from generative AI models

[1081] Output: The new interpretation result that is displayed to the user

[1082] (Application example 2)

[1083] 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."

[1084] Conventional dream interpretation systems only provide analysis results based on the content and emotions of the dream entered by the user, and lack supplementary information and related content to gain a deeper understanding of the user's psychological state. Another problem is the lack of a mechanism to provide individual psychological content or advice related to dream interpretation. This leaves users insufficiently supported in gaining a deeper understanding of the meaning of their dreams and promoting psychological growth.

[1085] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1086] In this invention, the server includes means for having a user input dream content and emotions, means for using a generative model to generate an interpretation result based on the input dream content and emotions, means for presenting the generated interpretation result to the user, means for accepting additional questions from the user regarding the interpretation result, means for generating an interpretation result using the generative model again based on the additional questions, means for providing related psychological content based on the dream content and emotions, and means for presenting the provided psychological content to the user. This enables the user to obtain related psychological content in addition to the dream interpretation result, thereby further understanding the meaning of the dream and promoting psychological growth.

[1087] "User" refers to the person or people who use the system.

[1088] "Dream content" refers to the specific events or situations that the user dreams about.

[1089] "Emotion" refers to the user's feelings and psychological responses related to the dream.

[1090] "Generative model" refers to the artificial intelligence technology used to generate dream interpretation results based on the dream content and emotions input by the user.

[1091] "Interpretation results" refer to the meaning and analysis results of dreams generated by analyzing the content and emotions of dreams using a generative model.

[1092] "Additional questions" refer to questions entered by the user to request further information or explanation about the initial interpretation results.

[1093] "Server" refers to the computer system used to process input data from users and run generative models.

[1094] "Relevant Psychological Content" refers to psychology-based information and materials provided in relation to the dream interpretation results.

[1095] "Psychological growth" refers to the user deepening their self-understanding and growing spiritually through their dreams and their interpretations.

[1096] The present invention is a system that allows a user to input dream content and emotions and provides dream interpretation results based on the input. The system includes an interface for the user to input dream content and emotions, a mechanism for generating an interpretation using a generative AI model, a means for providing the generated interpretation result to the user, and a function for responding to follow-up questions. The system can also provide relevant psychological content based on the dream content and emotions and present it to the user. Specific embodiments of the present invention are described in detail below.

[1097] Hardware and Software

[1098] This system includes mobile devices such as smartphones and tablets, and software components that run on the server. Specific hardware used is often iPhones or Android devices. Software used is React Native for mobile application development, and AWS Lambda and DynamoDB for server-side processing. AWS Comprehend is used for natural language processing, and OpenAI's GPT-4 is used as the generative AI model.

[1099] Data processing and calculation

[1100] 1. User Input:

[1101] Users start the "Yume Navi" application on their smartphone, enter the details of their dream in a text box, and select an emotion from a drop-down menu. The system also has a function that automatically extracts emotions from the text content using an emotion engine.

[1102] 2. Data transmission:

[1103] When the user completes the input and presses the "Send" button, the input data is sent from the terminal to the server.

[1104] 3. Analysis process:

[1105] The server then uses AWS Comprehend to analyze the dream content and emotions again, and inputs the analysis results and the original emotion data into GPT-4 to generate a dream interpretation.

[1106] 4. Results presentation:

[1107] The generated interpretation results are received by the server and sent to the user's terminal for display.

[1108] 5. Additional Content Offerings:

[1109] Based on the interpretation results, relevant psychological content, such as psychology-based articles and video content on relaxation techniques, is provided, helping users to gain a deeper understanding of the meaning of their dreams.

[1110] Specific examples

[1111] For example, if a user uses the "Dream Navi" application to input "I had a dream about drowning in the ocean" and select "fear" as the emotion, the data is sent to the server via the device. The server uses an emotion engine to extract emotions from the input data and inputs this data into the generative AI model. The generative AI model then generates the interpretation that "dreams about drowning often indicate anxiety or fear about situations that one cannot control."

[1112] Furthermore, based on the interpretation results, related content such as psychological content on "how to deal with uncontrollable situations" and videos on "breathing techniques for relaxation" are provided, allowing users to understand the interpretation of their dreams and obtain useful information related to them.

[1113] Prompt Sentence Examples

[1114] prompt:

[1115] Dream content: "I had a dream that I was flying in the sky."

[1116] Emotion: "Freedom"

[1117] Generate an interpretation of this dream.

[1118] Example interpretation results from a generative AI model:

[1119] Interpretation:

[1120] "Dreams of flying often indicate a desire for liberation and freedom. They may reflect a desire to free yourself in your current life."

[1121] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1122] Step 1:

[1123] When a user launches the "Dream Navi" application on their device, an interface for entering the details of their dream and their emotions is displayed on the device. The user enters the details of their dream in a text box and selects an emotion from a drop-down menu. The emotion engine also has the function of automatically extracting emotions from the text input.

[1124] Input: Dream content and emotions.

[1125] Output: Dream content and emotion input data.

[1126] Step 2:

[1127] When the user presses the "Send" button, the device sends the entered dream content and emotional data to the server, which receives this data.

[1128] Input: User-supplied dream content and emotion data.

[1129] Output: The input data sent to the server.

[1130] Step 3:

[1131] The server uses AWS Comprehend to analyze the received dream content and emotion data, where the emotion engine re-extracts emotions from the text data and combines them with the user's input data.

[1132] Input: Dream content and emotion data sent from device.

[1133] Output: The data after sentiment analysis is complete.

[1134] Step 4:

[1135] The server inputs the emotion-analyzed data into the generative AI model GPT-4, which creates prompts to interpret the dream. The model generates an interpretation based on the content and emotions of the dream.

[1136] Input: Data that has undergone sentiment analysis.

[1137] Output: Dream interpretation results obtained from the generative model.

[1138] Step 5:

[1139] The server receives the generated interpretation results, sends them to the terminal, and displays them to the user, who can then view the interpretation results for their own dreams.

[1140] Input: Dream interpretation results obtained from the generative model.

[1141] Output: Dream interpretation results displayed on terminal.

[1142] Step 6:

[1143] Based on the interpretation results, the server retrieves relevant psychological content from the database and provides it to the user, including psychology-based articles and video content on relaxation techniques.

[1144] Input: The generated interpretation results.

[1145] Output: relevant psychological content.

[1146] Step 7:

[1147] The server sends the acquired psychological content to the user's device and displays it to the user, who can then obtain supplementary information and advice related to dream interpretation.

[1148] Input: relevant psychological content.

[1149] Output: Psychological content displayed on the user's device.

[1150] 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.

[1151] 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.

[1152] 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.

[1153] [Fourth embodiment]

[1154] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1155] 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.

[1156] 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).

[1157] 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.

[1158] 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.

[1159] 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).

[1160] 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.

[1161] 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.

[1162] 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.

[1163] 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.

[1164] 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.

[1165] 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.

[1166] 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."

[1167] The present invention is a system that allows a user to input the content and emotions of a dream and provides a dream interpretation based on the input. The system includes an interface for the user to input the content and emotions of the dream, a mechanism for generating an interpretation using a generative AI model, a means for providing the generated interpretation to the user, and a function for responding to follow-up questions.

[1168] Explaining program processing in natural language

[1169] 1. Launching the application

[1170] When a user launches the "Dream Navi" application on their device, an interface for entering the content and emotions of their dream is displayed on the device. The screen contains a text box for describing the content of the dream and a drop-down menu for selecting emotions.

[1171] 2. Inputting dream content and emotions

[1172] Users enter the details of their dream in the text box and select the corresponding emotion from the drop-down menu. Once the entry is complete, the user presses the "Send" button, which sends the entry from the device to the server.

[1173] 3. Dream content analysis

[1174] The server receives the dream content and emotional information sent by the user and inputs it into a generative AI model. This generative AI model is used to analyze the dream content and emotions and generate a dream interpretation. For example, if the dream content is "getting lost in the forest" and the emotion is "anxiety," the generative AI model will generate an interpretation such as "dreams of getting lost often indicate anxiety about the direction in your current life."

[1175] 4. Presentation of interpretation results

[1176] The server receives the interpretation results returned by the generative AI model and sends them to the device. The device displays the interpretation results to the user, allowing the user to know the specific interpretation of their dream.

[1177] 5. Response to additional questions

[1178] If the user has further questions about the interpretation results, they enter the question in the input field displayed on the device and press the "Send" button. The device then sends this additional question to the server, which then inputs the question into the generative AI model to generate another interpretation. Once a new interpretation result is generated, the server sends it to the device, which then displays it to the user.

[1179] Specific examples

[1180] For example, if a user uses the "Dream Navi" application to enter "I had a dream about drowning in the ocean" and select "fear" as the emotion, the data is sent to the server via the device. The server inputs this data into the generative AI model and generates an interpretation result: "Dreams about drowning often indicate anxiety or fear about situations that you cannot control." This interpretation result is returned to the device and displayed to the user. Furthermore, if the user inputs an additional question, such as "Why have I been having this dream recently?", the server will again use the generative AI model to generate a new interpretation, returning the result: "Recurring dreams may indicate that the emotion or situation has not been resolved." Users can use these interpretations to gain a deeper understanding of their own psychological state and challenges.

[1181] The above-described processing is carried out in the system of the present invention, so that the user can gain a deeper understanding of the meaning of his or her dreams and promote psychological growth.

[1182] The processing flow will be explained below.

[1183] Step 1:

[1184] The user taps the "Yume Navi" app on their device to launch it.

[1185] The device displays the initial screen of the application, with a field for entering the dream content and a menu for selecting emotions on standby.

[1186] Step 2:

[1187] Users enter the details of their dream into a text box and select the emotion they felt when they had the dream from a drop-down menu.

[1188] Your device stores the information you enter (e.g., you type "I was lost in the woods and was anxious" into a text box and select "Anxious" from a drop-down menu).

[1189] Step 3:

[1190] The user presses the "Send" button.

[1191] The device constructs dream content and emotional information in JSON format and sends an HTTP request to the server.

[1192] Step 4:

[1193] The server receives an HTTP request from the device.

[1194] The server analyzes the transmitted data and extracts the dream content and emotional information.

[1195] Step 5:

[1196] The server inputs dream data into the generative AI model.

[1197] The server calls the appropriate API and inputs the dream content ("lost in the forest") and the emotion ("anxiety") into the model.

[1198] Step 6:

[1199] A generative AI model analyzes the data and generates a dream interpretation.

[1200] Based on the content of the dream, the generative AI model generates an interpretation such as "Dreams of getting lost often indicate anxiety about direction in current life" and returns it to the server.

[1201] Step 7:

[1202] The server obtains the interpretation results from the generative AI model.

[1203] The server formats the dream interpretation results into an appropriate format and sends them to the device as an HTTP response.

[1204] Step 8:

[1205] The terminal receives a response from the server.

[1206] The terminal displays the interpretation results it receives to the user.

[1207] Step 9:

[1208] If the user has a follow-up question about the interpretation result, the user inputs the question into the terminal.

[1209] The device constructs the question in JSON format and sends an HTTP request to the server.

[1210] Step 10:

[1211] The server receives a query from the terminal.

[1212] The server analyzes the question data and inputs the question into the generative AI model.

[1213] Step 11:

[1214] A generative AI model generates answers to follow-up questions.

[1215] The generative AI model generates an answer such as, "Having the same dream repeatedly may indicate that your anxiety or problem has not been resolved," and returns it to the server.

[1216] Step 12:

[1217] The server sends the generated response to the terminal.

[1218] The server formats the response data in an appropriate format and sends it to the terminal as an HTTP response.

[1219] Step 13:

[1220] The terminal receives a response from the server.

[1221] The terminal displays the received answer to the user.

[1222] Example 1

[1223] 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."

[1224] Psychological interpretation based on dream content and emotions has traditionally been done manually, which has the drawback of requiring time and effort. Furthermore, interpretations of dream content and emotions are often subjective and often produce inconsistent results. Furthermore, it has been difficult to quickly provide interpretations for additional questions. There is a need for a system that can solve these problems and provide fast, objective interpretation results.

[1225] 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.

[1226] In this invention, the server includes an interface means for allowing the user to input the content and emotions of their dreams, a processing means using a generative AI model to generate an interpretation result based on the input content and emotions of their dreams, and a display means to present the generated interpretation result to the user, thereby enabling a quick and objective interpretation of the content and emotions of their dreams.

[1227] "Interface means" refers to an input device and software that allows the user to input the content and emotions of their dreams.

[1228] "Generative AI model" refers to algorithms and systems that use artificial intelligence techniques to analyze input data and generate interpretive results.

[1229] "Processing means" refers to the functions and programs that allow the server to input input data into the generative AI model and generate analysis and interpretation results.

[1230] "Display means" refers to an output device and software for displaying the generated interpretation results to a user on a terminal.

[1231] "Input means" refers to an input device and software that allows a user to input additional questions regarding the interpretation results.

[1232] The present invention is a system that allows a user to input the content and emotions of a dream and provides a dream interpretation using a generative AI model based on the input. This system includes an interface means through which the user inputs the content and emotions of the dream, a generative AI model that generates an interpretation, a display means that presents the generated interpretation result to the user, and a function that responds to follow-up questions. An embodiment of the present invention will be described in detail below.

[1233] Hardware and software configuration

[1234] The user starts the "Dream Navi" application using a device such as a smartphone or tablet. An interface for inputting the content and emotions of the dream is displayed on the device. This interface includes a text box for describing the content of the dream and a drop-down menu for selecting emotions.

[1235] The data entered by the user is sent from the device to a server. The server then inputs the received dream content and emotional data into a generative AI model. The generative AI model primarily uses natural language processing technology to analyze the input data and generate an interpretation of the dream. OpenAI's GPT-3 and other models are used for the generative AI model.

[1236] The generated interpretation results are sent from the server to the device, which then displays the results to the user. If the user enters an additional question, the device resends the question to the server, which then re-inputs it into the generative AI model to generate a new interpretation. This allows the user to obtain a more detailed interpretation result.

[1237] Specific examples

[1238] For example, consider the case where a user uses the "Dream Navi" application to input "I had a dream about drowning in the ocean" and select "fear" as the emotion. This data is sent from the device to the server, which then inputs it into the generative AI model. The generative AI model generates an interpretation such as "Dreams about drowning often indicate anxiety or fear about situations that are beyond one's control." The interpretation result is returned to the device and displayed to the user.

[1239] If the user further questions, such as "Why have I been having this dream recently?", the question is sent to the server again, and the generative AI model generates a new interpretation. The new interpretation is returned and displayed to the user: "Recurring dreams may indicate that the emotion or situation has not been resolved."

[1240] In this way, users can understand the meaning of their dreams and gain insight into their psychological state. The system of the present invention allows users to obtain quick and objective dream interpretations.

[1241] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1242] Program processing steps

[1243] Step 1:

[1244] The user launches the "Dream Navi" application on their device. An interface for inputting the content and emotions of their dream is displayed on the device screen. The input fields include text boxes and drop-down menus.

[1245] Input: Application launch operation

[1246] Output: Interface for inputting dream content and emotions

[1247] Step 2:

[1248] The user enters the details of their dream into a text box and selects an emotion from a drop-down menu, then presses the "Send" button, which sends the entered data from the device to the server.

[1249] Input: User-supplied dream content and emotions

[1250] Output: Dream content and emotion data sent to the server

[1251] Step 3:

[1252] The server converts the received dream content and emotional data into a format that is easy to analyze. This data is then input into a generative AI model, which then analyzes the data and generates a dream interpretation.

[1253] Input: Dream content and emotional data submitted by the user

[1254] Output: Dream interpretation by the generative AI model

[1255] Step 4:

[1256] The server receives the interpretation results returned by the generative AI model and sends them to the device, which then displays the results to the user, allowing them to confirm the interpretation of their dream.

[1257] Input: Interpretation results returned by the generative AI model

[1258] Output: Dream interpretation displayed on the terminal

[1259] Step 5:

[1260] The user enters additional questions about the interpretation results in the input field and presses the "Send" button. The terminal then sends the additional questions to the server.

[1261] Input: Additional question from the user

[1262] Output: Additional question data sent to the server

[1263] Step 6:

[1264] The server inputs the received follow-up questions into the generative AI model again to generate a new interpretation. The generative AI model generates a new interpretation result based on the follow-up questions.

[1265] Input: Additional question data

[1266] Output: New dream interpretation

[1267] Step 7:

[1268] The server receives the new interpretation results returned by the generative AI model and sends them back to the device, which then displays the new interpretation results to the user, allowing the user to obtain a more detailed interpretation.

[1269] Input: New interpretation result

[1270] Output: New dream interpretation displayed on terminal

[1271] (Application example 1)

[1272] 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."

[1273] Conventional dream interpretation systems allow users to input the content and emotions of their dreams and receive interpretation results, but they are unable to provide specific content related to the dream (videos, music, stories, etc.). This means that users are unable to gain further experience based on the dream interpretation results, and their understanding of the interpretation results is limited.

[1274] 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.

[1275] In this invention, the server includes means for having a user input dream content and emotions, means for using a generative model to generate an interpretation result based on the input dream content and emotions, means for presenting the generated interpretation result to the user, means for generating content such as video, music, or a story related to the interpretation result, means for delivering the related content to the user, means for receiving follow-up questions from the user regarding the interpretation result, means for generating an interpretation result using the generative model again based on the follow-up questions, means for presenting the regenerated interpretation result to the user, and means for generating and delivering new content based on the regenerated interpretation result. This allows the user to receive specific content based on the dream interpretation result, deepening their understanding of the interpretation result and improving the user experience.

[1276] "User" refers to an individual who uses the system.

[1277] "Dream content" is a text description of specific events and situations related to the dream the user had.

[1278] "Emotion" refers to the psychological state the user felt when dreaming.

[1279] "Input means" refers to the interface through which the user provides the content and emotions of their dreams to the system, and includes text input boxes, drop-down menus, etc.

[1280] A "generative model" is an artificial intelligence model used to generate interpretation results based on dream content and emotions.

[1281] The "interpretation result" is information indicating the meaning and interpretation of the dream analyzed by the generative model.

[1282] "Content" refers to information such as video, music, or story related to the interpretation result.

[1283] "Delivery means" refers to a means for providing generated interpretation results and related content to users.

[1284] A "follow-up question" is a question or inquiry that a user enters to seek more detailed information or understanding of the interpretation result.

[1285] The present invention is a system that allows a user to input the content and emotions of a dream, generates an interpretation result based on the content using a generative AI model, provides the interpretation result to the user, and distributes related content. This system includes an interface through which the user inputs the content and emotions of the dream, a mechanism for generating the interpretation result and related content using the generative AI model, a means for providing the generated interpretation result and content to the user, and a function for responding to follow-up questions.

[1286] Hardware and software used

[1287] Interface: React Native (cross-platform app development)

[1288] Server and data analysis: Python framework (Flask or Django)

[1289] Generative AI model: OpenAI GPT-4API

[1290] Database: PostgreSQL

[1291] Video / music streaming: AWS S3 and YouTube API

[1292] System Operation

[1293] 1. Launch the application:

[1294] When a user launches the "Dream Media" application on their smartphone or smart glasses, an interface for entering the content and emotions of their dreams appears. The screen contains a text box for describing the content of the dream and a drop-down menu for selecting emotions.

[1295] 2. Input of dream content and emotions:

[1296] Users enter the details of their dream in the text box and select the emotion they felt from the drop-down menu. Once they have finished entering the details, they press the "Send" button, which sends the details from their device (smartphone or smart glasses) to the server.

[1297] 3. Dream Content Analysis:

[1298] The server receives the dream content and emotional information sent by the user and inputs it into a generative AI model, which analyzes the dream content and emotions and generates an interpretation of the dream and related content (video, music, story).

[1299] 4. Presenting interpretation results and content:

[1300] The server receives the interpretation results and related content returned by the generative AI model and sends them to the device, which then displays the interpretation results and content to the user and plays related video and music.

[1301] 5. Response to additional questions:

[1302] If the user has further questions about the interpretation results, they enter the question in the input field and press the "Submit" button. The server inputs this additional question into the generative AI model again to generate a new interpretation. The server receives the results and new content, sends them to the device, and displays them to the user.

[1303] Specific examples

[1304] For example, if a user uses the "Dream Media" app to input "I had a dream about falling from a high place" and select "fear" as the emotion, the data is sent to the server via the device. The server inputs this data into the generative AI model, which generates the interpretation that "dreams about falling from a high place often indicate that you are afraid of failure or setbacks," along with music to alleviate the fear and calming images. The interpretation and content are then sent back to the device, where they are displayed and played back for the user. Furthermore, if the user inputs an additional question such as "Why have I been having this dream a lot recently?", the server will again use the generative AI model to generate a new interpretation and return the result that "recurring dreams may indicate that the emotion or situation in question has not been resolved."

[1305] Prompt Sentence Examples

[1306] Dream content: Dream of falling from a high place Emotion: Fear

[1307] What does this dream mean? Also, please generate images, music, and a story related to this dream."

[1308] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1309] Step 1:

[1310] When a user launches the "Dream Media" app, an interface for entering the content and emotions of their dream is displayed on the device. A text box for accepting input and a drop-down menu for selecting emotions are displayed. The data entered is the content of the dream (text) and emotions (options).

[1311] Step 2:

[1312] The user enters the content of their dream into the text box and selects an emotion from the drop-down menu. Then, the user presses the "Send" button, and the input is sent from the device to the server. The input data is the content of the dream and emotional information. The input data is sent to the server as output.

[1313] Step 3:

[1314] The server receives dream content and emotional information sent by the user. The input data is the dream content and emotional information. The server then inputs this data as prompts to a generative AI model (e.g., OpenAI GPT-4 API). The output is the interpretation result from the generative AI model and associated content (video, music, story).

[1315] Step 4:

[1316] The server receives the interpretation and related content returned by the generative AI model. It generates an interpretation based on the prompt and generates related content. This process involves analyzing data related to the meaning and emotions of the dream and selecting or generating corresponding images and music. The output is the interpretation and related content.

[1317] Step 5:

[1318] The server transmits the received interpretation result and the related content to the terminal, and data including the interpretation result and the related content is provided to the terminal as an output.

[1319] Step 6:

[1320] The device displays the interpretation results and related content to the user and plays related videos and music. The user can deepen their understanding by viewing and listening to the dream interpretation results and related content. The output is the displayed interpretation results and the played content.

[1321] Step 7:

[1322] If the user has a follow-up question about the interpretation result, they enter the question in the input field displayed on the terminal and press the "Send" button. The input data is the follow-up question. The follow-up question is sent to the server as output.

[1323] Step 8:

[1324] The server receives the follow-up question and inputs it again as a prompt sentence to the generative AI model. The input data is the follow-up question. The generative AI model generates a new interpretation result and returns it to the server. The output is the new interpretation result.

[1325] Step 9:

[1326] The server receives the new interpretation result and sends it back to the terminal. As an output, the new interpretation result is sent to the terminal.

[1327] Step 10:

[1328] The terminal displays the new interpretation to the user, who can then review the interpretation and understand the deeper meaning of the dream. The output is a display of the new interpretation.

[1329] 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.

[1330] The present invention is a system that allows users to input the content and emotions of their dreams and provides a dream interpretation based on the input. This system includes an interface for users to input the content and emotions of their dreams, a mechanism for generating an interpretation using a generative AI model, a means for providing the generated interpretation to the user, and a function for responding to follow-up questions. It also combines an emotion engine that recognizes the user's emotions to provide more accurate dream interpretations.

[1331] Explaining program processing in natural language

[1332] 1. Launching the application

[1333] When a user launches the "Dream Navi" application on their device, an interface for entering the content and emotions of their dream is displayed on the device. The screen contains a text box for describing the content of the dream and a drop-down menu for selecting emotions.

[1334] 2. Inputting dream content and emotions

[1335] Users enter the details of their dream in the text box and select the corresponding emotion from a drop-down menu. Furthermore, the emotion engine automatically extracts emotions from the user's text input. Once input is complete, users can press the "Send" button, which sends the input from their device to the server.

[1336] 3. Dream content analysis

[1337] The server receives the dream content and emotional information sent by the user and uses an emotion engine to extract emotions from the input data. The extracted emotions and the original emotional data are input into a generative AI model. This generative AI model is used to analyze the dream content and emotions and generate a dream interpretation. For example, if the dream content is "getting lost in the forest" and the extracted emotion is "anxiety," the generative AI model will generate an interpretation such as "dreams of getting lost often indicate anxiety about the direction in one's current life."

[1338] 4. Presentation of interpretation results

[1339] The server receives the interpretation results returned by the generative AI model and sends them to the device. The device displays the interpretation results to the user, allowing the user to know the specific interpretation of their dream.

[1340] 5. Response to additional questions

[1341] If the user has further questions about the interpretation results, they enter the question in the input field displayed on the device and press the "Send" button. The device then sends this additional question to the server, which then inputs the question into the generative AI model to generate another interpretation. Once a new interpretation result is generated, the server sends it to the device, which then displays it to the user.

[1342] Specific examples

[1343] For example, if a user uses the "Dream Navi" application to input "I had a dream about drowning in the ocean" and select "fear" as the emotion, the data is sent to the server via the device. The server uses an emotion engine to extract emotions from the input data and inputs this data into the generative AI model. The generative AI model generates an interpretation result: "Dreams about drowning often indicate anxiety or fear about situations that are beyond one's control." This interpretation result is returned to the device and displayed to the user. Furthermore, if the user inputs an additional question, such as "Why have I been having this dream recently?", the server again uses the generative AI model to generate a new interpretation, returning the result: "Recurring dreams may indicate that the emotion or situation has not been resolved." Users can use these interpretations to gain a deeper understanding of their own psychological state and challenges.

[1344] The above-described processing is carried out in the system of the present invention, so that the user can gain a deeper understanding of the meaning of his or her dreams and promote psychological growth.

[1345] The processing flow will be explained below.

[1346] Explaining program processing in natural language

[1347] 1. Launching the application

[1348] Step 1:

[1349] The user taps the "Yume Navi" application on the device to launch it.

[1350] The device displays the initial screen of the application, with a field for entering the dream content and a menu for selecting emotions on standby.

[1351] 2. Inputting dream content and emotions

[1352] Step 2:

[1353] The user enters the content of their dream into a text box.

[1354] The terminal stores the dream content as it is typed in a buffer.

[1355] Step 3:

[1356] The user selects the emotion they felt when they had the dream from a drop-down menu.

[1357] The device stores the selected emotion information in a buffer.

[1358] Step 4:

[1359] The user presses the "Send" button.

[1360] The device constructs the input dream content and emotional information in JSON format and sends an HTTP request to the server.

[1361] 3. Dream content analysis

[1362] Step 5:

[1363] The server receives an HTTP request from the device.

[1364] The server analyzes the transmitted data and extracts the dream content and emotional information.

[1365] Step 6:

[1366] The server uses an emotion engine to recognize emotions from the user's text input.

[1367] The server stores the recognized emotion information in a buffer.

[1368] Step 7:

[1369] The server integrates the emotions recognized by the emotion engine with the emotions selected by the user.

[1370] The server inputs this emotional information into a generative AI model.

[1371] Step 8:

[1372] The server inputs the dream content and emotions into the generated AI model.

[1373] The server calls the appropriate API and inputs the dream content, "lost in the forest," and the integrated emotion, "anxiety," into the model.

[1374] Step 9:

[1375] A generative AI model analyzes the data and generates a dream interpretation.

[1376] Based on the content of the dream, the generative AI model generates an interpretation such as "Dreams of getting lost often indicate anxiety about direction in current life" and returns it to the server.

[1377] 4. Presentation of interpretation results

[1378] Step 10:

[1379] The server obtains the interpretation results from the generative AI model.

[1380] The server formats the dream interpretation results into an appropriate format and sends them to the device as an HTTP response.

[1381] Step 11:

[1382] The terminal receives a response from the server.

[1383] The terminal displays the interpretation results it receives to the user.

[1384] 5. Response to additional questions

[1385] Step 12:

[1386] The user asks follow-up questions about the interpretation results.

[1387] The user enters the question in the input field displayed on the terminal and presses the "Send" button.

[1388] Step 13:

[1389] The device constructs the question in JSON format and sends an HTTP request to the server.

[1390] The server receives the query data from the terminal.

[1391] Step 14:

[1392] The server inputs question data into the generative AI model.

[1393] The server calls the appropriate API to input additional questions into the model.

[1394] Step 15:

[1395] A generative AI model generates answers to follow-up questions.

[1396] The generative AI model generates an answer such as, "Having the same dream repeatedly may indicate that your anxiety or problem has not been resolved," and returns it to the server.

[1397] Step 16:

[1398] The server sends the generated response to the terminal.

[1399] The server formats the response data in an appropriate format and sends it to the terminal as an HTTP response.

[1400] Step 17:

[1401] The terminal receives a response from the server.

[1402] The terminal displays the received answer to the user.

[1403] Specific examples

[1404] For example, if a user uses the "Dream Navi" application to enter "I had a dream about drowning in the ocean" and select "fear" as the emotion, the data is sent to the server via the device. The server uses its emotion engine to recognize the emotion "fear" from the user's text input and inputs this emotion information into the generative AI model. The generative AI model generates an interpretation result: "Dreams about drowning often indicate anxiety or fear about situations that are beyond one's control." This interpretation result is returned to the device and displayed to the user. Furthermore, if the user enters an additional question, such as "Why have I been having this dream recently?", the server again uses the generative AI model to generate a new interpretation, returning the result: "Recurring dreams may indicate that the emotion or situation has not been resolved." Based on these interpretations, the user can gain a deeper understanding of their own psychological state and challenges.

[1405] The above-described processing is carried out in the system of the present invention, so that the user can gain a deeper understanding of the meaning of his or her dreams and promote psychological growth.

[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 dream interpretation systems can only provide limited information about the dream content entered by the user, and lack a deep understanding of the user's emotions and the background of the dream. Furthermore, when the user asks additional questions, it is difficult to generate an appropriate interpretation for those questions.

[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 a means for providing an interface on a terminal that allows a user to input dream content and emotions, a means for automatically extracting emotions using an emotion engine based on the input dream content and emotions, and a means for inputting the input dream content and extracted emotion information into a generative AI model to generate an interpretation result. This makes it possible to provide a deeper interpretation of the dream content and emotions input by the user, and to regenerate an appropriate interpretation in response to additional questions.

[1411] "User" refers to the person who uses the system and inputs the content of their dreams and their emotions.

[1412] A "terminal" is a device used by a user to input dream content and emotions, and includes smartphones, tablets, etc.

[1413] "Interface" refers to the screen display and input means that allow the user to input the content and emotions of their dreams using a terminal.

[1414] "Emotion engine" refers to a software component that automatically extracts emotions from user-entered text.

[1415] A "generative AI model" refers to an artificial intelligence model that generates dream interpretations based on the dream content and emotional information input by the user.

[1416] A "prompt sentence" is a data format that is input into the generative AI model and refers to a sentence that contains details of the dream and emotional information.

[1417] "Interpretation results" refers to data showing the interpretation of dreams that is output as a result of analysis by the generative AI model.

[1418] "Additional questions" refer to questions that users input to ask for further questions or information about the interpretation results.

[1419] The present invention is a system that allows users to input the content and emotions of their dreams and provides a dream interpretation based on the input. This system includes an interface through which users input the content and emotions of their dreams, a mechanism for generating an interpretation using a generative AI model, a means for providing the generated interpretation to the user, and a function for responding to follow-up questions. Furthermore, by combining it with an emotion engine that recognizes the user's emotions, it is possible to provide a more accurate dream interpretation.

[1420] When a user launches the "Dream Navi" application on their device, an interface for entering the details of their dream and their emotions is displayed on the device. The screen contains a text box for describing the details of their dream and a drop-down menu for selecting emotions. The user enters the details of their dream in the text box and selects the corresponding emotion from the drop-down menu. In addition, the emotion engine has the function of automatically extracting emotions from the user's text input.

[1421] Once input is complete, the user presses the "Send" button, which sends the input from the device to the server. The server receives the dream content and emotional information sent by the user and uses an emotion engine to extract emotions from the input data. The extracted emotions and the original emotional data are input into a generative AI model. This generative AI model is used to analyze the dream content and emotions and generate a dream interpretation.

[1422] For example, if the content of the dream is "I got lost in the forest" and the extracted emotion is "anxiety," the generative AI model will generate an interpretation such as, "Dreams of getting lost often indicate anxiety about the direction of one's current life." A specific example of a prompt sentence would be, "Dream content: I got lost in the forest, Emotion: Anxiety."

[1423] The server receives the interpretation results returned by the generative AI model and sends them to the device. The device displays the interpretation results to the user, allowing the user to know the specific interpretation of their dream.

[1424] If the user has further questions about the interpretation results, they enter the question in the input field displayed on the device and press the "Send" button. The device then sends this additional question to the server, which then inputs the question into the generative AI model to generate another interpretation. Once a new interpretation result is generated, the server sends it to the device, which then displays it to the user.

[1425] For example, if a user uses the "Dream Navi" application to input "I had a dream about drowning in the ocean" and select "fear" as the emotion, the data is sent to the server via the device. The server uses an emotion engine to extract emotions from the input data and inputs this data into the generative AI model. The generative AI model generates an interpretation result: "Dreams about drowning often indicate anxiety or fear about situations that are beyond one's control." This interpretation result is returned to the device and displayed to the user. Furthermore, if the user inputs an additional question, such as "Why have I been having this dream recently?", the server again uses the generative AI model to generate a new interpretation, returning the result: "Recurring dreams may indicate that the emotion or situation has not been resolved." Users can use these interpretations to gain a deeper understanding of their own psychological state and challenges.

[1426] The above-described processing is carried out in the system of the present invention, so that the user can gain a deeper understanding of the meaning of his or her dreams and promote psychological growth.

[1427] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1428] Step 1:

[1429] The user launches the "Dream Navi" application on the device. The device displays an interface for entering the details of the dream and emotions. This screen displays a text box for describing the dream and a drop-down menu for selecting emotions. The user enters the details of the dream in the text box and selects the corresponding emotion from the drop-down menu.

[1430] Input: User inputs dream content and emotions

[1431] Output: Data describing the content and emotions of the dream

[1432] Step 2:

[1433] When the user presses the "Send" button, the device sends the entered dream content and emotional information to the server. The device then activates the emotion engine, which automatically extracts emotions from the user's text input. The generated data includes both the emotions selected by the user and those extracted by the emotion engine.

[1434] Input: Data describing dream content and emotions

[1435] Output: Data containing the emotions selected by the user and the emotions extracted by the emotion engine

[1436] Step 3:

[1437] The server receives the dream content and emotional information sent from the device. The server inputs the received data into the generative AI model and analyzes the dream content and emotions. The server sends the prompt text to the generative AI model in the format "Dream content: [Dream details], Emotion: [Emotion details]".

[1438] Input: Data containing user-selected emotions and emotions extracted by the emotion engine

[1439] Output: Prompt sentence for the generative AI model

[1440] Step 4:

[1441] The generative AI model analyzes the prompt and generates a dream interpretation. For example, if the prompt is "Dream content: Lost in the forest, Emotion: Anxiety," it generates the interpretation "Dreams of getting lost often indicate anxiety about the direction you are taking in your current life."

[1442] Input: A prompt for the generative AI model

[1443] Output: Interpretation results from the generative AI model

[1444] Step 5:

[1445] The server receives the generated interpretation result and sends it to the device. The device then displays the received interpretation result to the user. For example, if the interpretation result is "Dreams of getting lost often indicate anxiety about the direction of your current life," this content will be displayed.

[1446] Input: Interpretation results by generative AI model

[1447] Output: The interpretation results that are displayed to the user

[1448] Step 6:

[1449] If the user wants to ask a follow-up question about the interpretation result, the user inputs the question into the input field of the terminal and presses the "Send" button. The terminal then sends the follow-up question to the server.

[1450] Input: Additional questions from the user

[1451] Output: Additional questions sent to the server

[1452] Step 7:

[1453] The server receives the follow-up question and inputs it into the generative AI model. The generative AI model analyzes the new prompt and generates a new interpretation. For example, if the user's follow-up question is "Why have I been having this dream recently?", the generated interpretation is "Recurring dreams may indicate that the emotion or situation has not been resolved."

[1454] Input: Additional question sent to the server

[1455] Output: New interpretation results from the generative AI model

[1456] Step 8:

[1457] The server receives the new interpretation and sends it to the terminal, which displays the new interpretation to the user, allowing the user to gain a deeper understanding based on the new interpretation.

[1458] Input: New interpretation results from generative AI models

[1459] Output: The new interpretation result that is displayed to the user

[1460] (Application example 2)

[1461] 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."

[1462] Conventional dream interpretation systems only provide analysis results based on the content and emotions of the dream entered by the user, and lack supplementary information and related content to gain a deeper understanding of the user's psychological state. Another problem is the lack of a mechanism to provide individual psychological content or advice related to dream interpretation. This leaves users insufficiently supported in gaining a deeper understanding of the meaning of their dreams and promoting psychological growth.

[1463] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1464] In this invention, the server includes means for having a user input dream content and emotions, means for using a generative model to generate an interpretation result based on the input dream content and emotions, means for presenting the generated interpretation result to the user, means for accepting additional questions from the user regarding the interpretation result, means for generating an interpretation result using the generative model again based on the additional questions, means for providing related psychological content based on the dream content and emotions, and means for presenting the provided psychological content to the user. This enables the user to obtain related psychological content in addition to the dream interpretation result, thereby further understanding the meaning of the dream and promoting psychological growth.

[1465] "User" refers to the person or people who use the system.

[1466] "Dream content" refers to the specific events or situations that the user dreams about.

[1467] "Emotion" refers to the user's feelings and psychological responses related to the dream.

[1468] "Generative model" refers to the artificial intelligence technology used to generate dream interpretation results based on the dream content and emotions input by the user.

[1469] "Interpretation results" refer to the meaning and analysis results of dreams generated by analyzing the content and emotions of dreams using a generative model.

[1470] "Additional questions" refer to questions entered by the user to request further information or explanation about the initial interpretation results.

[1471] "Server" refers to the computer system used to process input data from users and run generative models.

[1472] "Relevant Psychological Content" refers to psychology-based information and materials provided in relation to the dream interpretation results.

[1473] "Psychological growth" refers to the user deepening their self-understanding and growing spiritually through their dreams and their interpretations.

[1474] The present invention is a system that allows a user to input dream content and emotions and provides dream interpretation results based on the input. The system includes an interface for the user to input dream content and emotions, a mechanism for generating an interpretation using a generative AI model, a means for providing the generated interpretation result to the user, and a function for responding to follow-up questions. The system can also provide relevant psychological content based on the dream content and emotions and present it to the user. Specific embodiments of the present invention are described in detail below.

[1475] Hardware and Software

[1476] This system includes mobile devices such as smartphones and tablets, and software components that run on the server. Specific hardware used is often iPhones or Android devices. Software used is React Native for mobile application development, and AWS Lambda and DynamoDB for server-side processing. AWS Comprehend is used for natural language processing, and OpenAI's GPT-4 is used as the generative AI model.

[1477] Data processing and calculation

[1478] 1. User Input:

[1479] Users start the "Yume Navi" application on their smartphone, enter the details of their dream in a text box, and select an emotion from a drop-down menu. The system also has a function that automatically extracts emotions from the text content using an emotion engine.

[1480] 2. Data transmission:

[1481] When the user completes the input and presses the "Send" button, the input data is sent from the terminal to the server.

[1482] 3. Analysis process:

[1483] The server then uses AWS Comprehend to analyze the dream content and emotions again, and inputs the analysis results and the original emotion data into GPT-4 to generate a dream interpretation.

[1484] 4. Results presentation:

[1485] The generated interpretation results are received by the server and sent to the user's terminal for display.

[1486] 5. Additional Content Offerings:

[1487] Based on the interpretation results, relevant psychological content, such as psychology-based articles and video content on relaxation techniques, is provided, helping users to gain a deeper understanding of the meaning of their dreams.

[1488] Specific examples

[1489] For example, if a user uses the "Dream Navi" application to input "I had a dream about drowning in the ocean" and select "fear" as the emotion, the data is sent to the server via the device. The server uses an emotion engine to extract emotions from the input data and inputs this data into the generative AI model. The generative AI model then generates the interpretation that "dreams about drowning often indicate anxiety or fear about situations that one cannot control."

[1490] Furthermore, based on the interpretation results, related content such as psychological content on "how to deal with uncontrollable situations" and videos on "breathing techniques for relaxation" are provided, allowing users to understand the interpretation of their dreams and obtain useful information related to them.

[1491] Prompt Sentence Examples

[1492] prompt:

[1493] Dream content: "I had a dream that I was flying in the sky."

[1494] Emotion: "Freedom"

[1495] Generate an interpretation of this dream.

[1496] Example interpretation results from a generative AI model:

[1497] Interpretation:

[1498] "Dreams of flying often indicate a desire for liberation and freedom. They may reflect a desire to free yourself in your current life."

[1499] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1500] Step 1:

[1501] When a user launches the "Dream Navi" application on their device, an interface for entering the details of their dream and their emotions is displayed on the device. The user enters the details of their dream in a text box and selects an emotion from a drop-down menu. The emotion engine also has the function of automatically extracting emotions from the text input.

[1502] Input: Dream content and emotions.

[1503] Output: Dream content and emotion input data.

[1504] Step 2:

[1505] When the user presses the "Send" button, the device sends the entered dream content and emotional data to the server, which receives this data.

[1506] Input: User-supplied dream content and emotion data.

[1507] Output: The input data sent to the server.

[1508] Step 3:

[1509] The server uses AWS Comprehend to analyze the received dream content and emotion data, where the emotion engine re-extracts emotions from the text data and combines them with the user's input data.

[1510] Input: Dream content and emotion data sent from device.

[1511] Output: The data after sentiment analysis is complete.

[1512] Step 4:

[1513] The server inputs the emotion-analyzed data into the generative AI model GPT-4, which creates prompts to interpret the dream. The model generates an interpretation based on the content and emotions of the dream.

[1514] Input: Data that has undergone sentiment analysis.

[1515] Output: Dream interpretation results obtained from the generative model.

[1516] Step 5:

[1517] The server receives the generated interpretation results, sends them to the terminal, and displays them to the user, who can then view the interpretation results for their own dreams.

[1518] Input: Dream interpretation results obtained from the generative model.

[1519] Output: Dream interpretation results displayed on terminal.

[1520] Step 6:

[1521] Based on the interpretation results, the server retrieves relevant psychological content from the database and provides it to the user, including psychology-based articles and video content on relaxation techniques.

[1522] Input: The generated interpretation results.

[1523] Output: relevant psychological content.

[1524] Step 7:

[1525] The server sends the acquired psychological content to the user's device and displays it to the user, who can then obtain supplementary information and advice related to dream interpretation.

[1526] Input: relevant psychological content.

[1527] Output: Psychological content displayed on the user's device.

[1528] 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.

[1529] 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.

[1530] 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.

[1531] 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.

[1532] 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.

[1533] 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.

[1534] 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).

[1535] 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.

[1536] 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."

[1537] 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.

[1538] 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).

[1539] 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.

[1540] 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.

[1541] 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.

[1542] 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.

[1543] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1544] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific processing may be a single processor.

[1545] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[1546] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[1547] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[1548] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[1549] The following is further disclosed regarding the above embodiment.

[1550] (Claim 1)

[1551] A means for allowing a user to input the content and emotions of a dream;

[1552] A means for using a generative model to generate an interpretation result based on the input dream content and emotion;

[1553] means for presenting the generated interpretation result to a user;

[1554] means for receiving additional questions from a user regarding the interpretation results;

[1555] a means for generating an interpretation result by again using the generative model based on the additional question;

[1556] means for presenting the regenerated interpretation result to a user;

[1557] A system including:

[1558] (Claim 2)

[1559] The system of claim 1 , wherein the generative model is a generative artificial intelligence model.

[1560] (Claim 3)

[1561] The system of claim 2 , wherein the generative artificial intelligence model uses natural language processing techniques.

[1562] "Example 1"

[1563] (Claim 1)

[1564] an interface means for allowing a user to input the content and emotions of a dream;

[1565] A processing means using a generative AI model to generate an interpretation result based on the input dream content and emotion;

[1566] a display means for presenting the generated interpretation result to a user;

[1567] an input means for receiving a follow-up question from a user regarding the interpretation result;

[1568] A processing means for generating an interpretation result using the generation AI model again based on the additional question;

[1569] a display means for presenting the regenerated interpretation result to a user;

[1570] A system including:

[1571] (Claim 2)

[1572] The system of claim 1, wherein the generative AI model is a generative artificial intelligence model.

[1573] (Claim 3)

[1574] 2. The system of claim 1, wherein the generative artificial intelligence model uses natural language processing techniques.

[1575] "Application Example 1"

[1576] (Claim 1)

[1577] A means for allowing a user to input the content and emotions of a dream;

[1578] A means for using a generative model to generate an interpretation result based on the input dream content and emotion;

[1579] means for presenting the generated interpretation result to a user;

[1580] means for generating content such as video, music, or story related to the interpretation result;

[1581] means for delivering the related content to a user;

[1582] means for receiving additional questions from a user regarding the interpretation results;

[1583] a means for generating an interpretation result by again using the generative model based on the additional question;

[1584] means for presenting the regenerated interpretation result to a user;

[1585] means for generating and distributing new content based on the re-generated interpretation results;

[1586] A system including:

[1587] (Claim 2)

[1588] The system of claim 1 , wherein the generative model is a generative artificial intelligence model.

[1589] (Claim 3)

[1590] The system of claim 1 , wherein the generative artificial intelligence model uses natural language processing techniques.

[1591] "Example 2: Combining Emotion Engines"

[1592] (Claim 1)

[1593] A means for providing an interface on a terminal that allows a user to input the content and emotions of a dream;

[1594] a means for automatically extracting emotions using an emotion engine based on the input dream content and emotions;

[1595] A means for inputting the input dream content and extracted emotion information into a generative AI model and generating an interpretation result;

[1596] means for presenting the generated interpretation result to a user;

[1597] means for receiving additional questions from a user regarding the interpretation results;

[1598] A means for generating an interpretation result using the generation AI model again based on the additional question;

[1599] means for presenting the regenerated interpretation result to a user;

[1600] A system including:

[1601] (Claim 2)

[1602] The system of claim 1 , wherein the generative AI model is a generative artificial intelligence model.

[1603] (Claim 3)

[1604] The system of claim 1 , wherein the generative artificial intelligence model uses natural language processing techniques.

[1605] "Application example 2 when combining emotion engines"

[1606] (Claim 1)

[1607] A means for allowing a user to input the content and emotions of a dream;

[1608] A means for using a generative model to generate an interpretation result based on the input dream content and emotion;

[1609] means for presenting the generated interpretation result to a user;

[1610] means for receiving additional questions from a user regarding the interpretation results;

[1611] a means for generating an interpretation result by again using the generative model based on the additional question;

[1612] a means for providing relevant psychological content based on dream content and emotions;

[1613] means for presenting the provided psychological content to a user;

[1614] A system including:

[1615] (Claim 2)

[1616] The system of claim 1 , wherein the generative model is a generative artificial intelligence model.

[1617] (Claim 3)

[1618] The system of claim 1 , wherein the generative artificial intelligence model uses natural language processing techniques. [Explanation of symbols]

[1619] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. A means for allowing a user to input the content and emotions of a dream; A means for using a generative model to generate an interpretation result based on the input dream content and emotion; means for presenting the generated interpretation result to a user; means for receiving additional questions from a user regarding the interpretation result; means for generating an interpretation result by again using the generative model based on the additional question; means for presenting the regenerated interpretation result to a user; A system including:

2. The system of claim 1 , wherein the generative model is a generative artificial intelligence model.

3. The system of claim 2 , wherein the generative artificial intelligence model uses natural language processing techniques.

Images