system

Abstract

An object of the system according to the embodiment is to provide an individually customized unique present for a special event or celebration.SOLUTION: A system includes a game structure part, a character customization part, and a congratulatory message display part. The game structure provides a form of a simple action game or RPG. The character customization unit generates a character that imitates the face and features of the friend. The congratulatory message display section displays a congratulatory message when the game is cleared.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] Conventional technology has made it difficult to provide unique, individually customized gifts for special events and celebrations.

[0005] The system according to the embodiment aims to provide unique, individually customized gifts for special events and celebrations. [Means for solving the problem]

[0006] The system according to the embodiment includes a game structure unit, a character customization unit, and a congratulatory message display unit. The game structure unit provides a simple action game or RPG format. The character customization unit creates a character that resembles a friend's face and features. The congratulatory message display unit displays a congratulatory message when the game is cleared. [Effects of the Invention]

[0007] Embodiments of the system can provide unique, personalized gifts for special events and celebrations. [Brief explanation of the drawings]

[0008] [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. DETAILED DESCRIPTION OF THE INVENTION

[0009] 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.

[0010] First, the terms used in the following description will be explained.

[0011] 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, the 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), an APU (Accelerated Processing Unit), or a TPU (Tensor Processing Unit).

[0012] 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.

[0013] 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.

[0014] 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), and Bluetooth (registered trademark).

[0015] 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."

[0016] [First embodiment] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0017] 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.

[0018] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and 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).

[0019] 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.

[0020] The reception device 38 includes a touch panel 38A and a microphone 38B, and receives user input. The touch panel 38A detects contact with a pointer (for example, a pen or a finger) to receive user input by the touch of the pointer. 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 (see FIG. 2) acquires the data indicating the user input.

[0021] Output device 40 includes a display 40A and a speaker 40B, and presents data to a user by outputting the data in a form of expression that the user can perceive (e.g., audio and / or text). Display 40A displays visible information such as text and images in accordance with instructions from processor 46. Speaker 40B outputs audio in accordance with instructions from processor 46. 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.

[0022] 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.

[0023] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0024] 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.

[0025] 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. The identification processing unit 290 can estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0026] In the smart device 14, the specific processing is performed by the processor 46. The storage 50 stores a specific processing program 60. The specific processing program 60 is used together with the specific processing program 56 by the data processing system 10. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. Note that the smart device 14 may have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[0027] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device (e.g., a generation server) may have the data generation model 58. In this case, the data processing device 12 obtains a processing result (prediction result, etc.) using the data generation model 58 by communicating with the server device having the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device owned by a user (e.g., a mobile phone, a robot, a home appliance, etc.). Next, an example of processing by the data processing system 10 according to the first embodiment will be described.

[0028] (Example 1) A system according to an embodiment of the present invention provides a simple game as a unique gift for celebrations such as weddings and birthdays. This system features a character modeled after a friend's face and features, and a congratulatory message is played when the friend completes the game. This system provides surprise and delight to the friend who receives the gift.

[0029] The system according to the embodiment includes a game structure unit, a character customization unit, and a congratulatory message display unit. The game structure unit provides a simple action game or RPG format. For example, a simple action game in which a player controls a character to defeat enemies and collect items, or an RPG in which a player progresses through a story by completing quests, are conceivable. The character customization unit generates a character that resembles a friend's face and features. For example, facial features can be created based on a photo of the friend, and the character's hairstyle and clothing can also be designed to resemble the friend's. The congratulatory message display unit displays a congratulatory message upon completion of the game. For example, a message such as "Congratulations on your marriage!" or "Happy birthday!" is displayed. This allows the system to provide a system in which a character that resembles a friend's face and features appears as a unique gift, and a congratulatory message is displayed upon completion of the game.

[0030] The game structure unit can provide a scenario in which the story branches depending on the choices made by the player. For example, the game structure unit introduces a branching scenario in which the choices made by the player change depending on the progress made in the game. For example, if the player obtains a specific item, the story will proceed in a different direction depending on whether or not the player uses the item. This allows the story to change depending on the player's choices, providing a more interactive game experience.

[0031] The game structure unit can provide an algorithm that automatically adjusts the difficulty of the game according to the skill level of the player. For example, the game structure unit can implement an algorithm that automatically adjusts the strength and number of enemies in the game according to the skill level of the player. For example, the number of enemies can be reduced for beginner players and increased for advanced players. This allows the game difficulty to be adjusted according to the skill level of the player, providing a gaming experience that anyone can enjoy.

[0032] The character customization unit can provide voice synthesis technology that imitates a friend's voice and speaking style. For example, the character customization unit introduces voice synthesis technology that imitates a friend's voice when customizing a character. For example, the character customization unit records a friend's voice and generates the character's lines based on that voice. This provides a more realistic experience by providing voice synthesis technology that imitates a friend's voice and speaking style.

[0033] The character customization unit can provide animations that mimic the movements and gestures of a friend. For example, the character customization unit adds animations that mimic the movements of a friend when customizing a character. For example, the friend's movements are recorded using motion capture and reflected in the character's movements. In this way, the realism of the character's movements can be improved by providing animations that mimic the movements and gestures of a friend.

[0034] The congratulatory message display unit can dynamically generate a congratulatory message based on the player's actions and selections in the game. The congratulatory message display unit dynamically generates the content of the congratulatory message based on the player's actions and selections in the game. For example, if the player completes a specific quest, a message related to that quest is displayed. In this way, by dynamically generating a congratulatory message based on the player's actions and selections, a more personalized message can be provided.

[0035] The congratulatory message display unit can provide a function to read out the congratulatory message aloud. For example, the congratulatory message display unit adds a function to read out the congratulatory message aloud, and conveys the message both visually and audibly. For example, "Congratulations on your marriage!" can be read out aloud at the same time as the text message. In this way, by reading out the congratulatory message aloud, the message can be conveyed both visually and audibly.

[0036] The congratulatory message display unit can provide a visual message using video or animation. For example, the congratulatory message display unit expands the display of the congratulatory message to a visual message using video or animation. For example, it displays an animation in which a character moves to convey the message. In this way, by providing a visual message using video or animation, it is possible to enhance the visual impact.

[0037] The congratulatory message display unit can provide a collage format of messages from multiple friends and family. The congratulatory message display unit, for example, expands the display of congratulatory messages to a collage format of messages from multiple friends and family. For example, multiple messages can be displayed on a single screen. This allows the collage format of messages from multiple friends and family to be provided, allowing the congratulations of more people to be conveyed.

[0038] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0039] The system can also be equipped with a function that triggers a specific action when the recipient completes the game. For example, a special coupon can be sent to the recipient's smartphone when the game is completed. Another possible system is to automatically deliver a surprise gift to a friend's home when the game is completed. Furthermore, a function can be added that automatically posts a congratulatory message to a friend's social media account when the game is completed. This allows players to surprise others in the real world by completing the game.

[0040] The system can also monitor the player's health and have functions that affect the progress of the game. For example, it can measure the player's heart rate and blood pressure, and if abnormalities are detected, it can pause the game. It can also display a message encouraging the player to take a break if the player has been playing the game for a long time. Furthermore, it is conceivable that in-game characters could provide health advice based on the player's health condition. This will enable a gaming experience that takes the player's health into consideration.

[0041] The system may further analyze the player's gameplay data and provide suggestions for customizing the game based on the player's preferences. For example, if a player prefers games of a particular genre, the system may suggest new games related to that genre. If a player prefers a particular character, the system may suggest items or skins related to that character. Furthermore, the system may suggest customizing the game's difficulty and settings based on the player's play style. This allows the system to provide a more personalized gaming experience by providing suggestions for customizing the game based on the player's preferences.

[0042] The system can also have a function that provides specific rewards or bonuses based on the player's in-game behavior. For example, if a player completes a specific quest, they can earn special items or skins. Also, if a player achieves a certain score, they can earn in-game currency or points. Furthermore, if a player invites a friend to the game, they can earn additional rewards by playing with the friend. This can increase motivation for the game by providing specific rewards or bonuses based on the player's behavior.

[0043] The system can also have the ability to dynamically change the ending of the story based on the player's actions and choices in the game. For example, if the player helps a specific character, that character will appear in the ending. Also, if the player collects a specific item, that item can affect the ending. Furthermore, it is conceivable that the ending could branch into multiple patterns depending on the player's choices. This allows for a more interactive game experience by dynamically changing the ending of the story based on the player's actions and choices.

[0044] The processing flow of the first embodiment will be briefly explained below.

[0045] Step 1: The game structure section provides the format for a simple action game or RPG. For example, it could be a simple action game where the player controls a character to defeat enemies and collect items, or an RPG where the player completes quests to progress through the story. Step 2: The character customization section creates a character that resembles a friend's face and features. For example, you can create facial features based on a photo of a friend, and design hairstyles and clothing to resemble that friend's. Step 3: The congratulatory message display unit displays a congratulatory message when the game is cleared. For example, messages such as "Congratulations on your marriage!" or "Happy birthday!" are displayed.

[0046] (Example 2) A system according to an embodiment of the present invention provides a simple game as a unique gift for celebrations such as weddings and birthdays. This system features a character modeled after a friend's face and features, and a congratulatory message is played when the friend completes the game. This system provides surprise and delight to the friend who receives the gift.

[0047] The system according to the embodiment includes a game structure unit, a character customization unit, and a congratulatory message display unit. The game structure unit provides a simple action game or RPG format. For example, a simple action game in which a player controls a character to defeat enemies and collect items, or an RPG in which a player progresses through a story by completing quests, are conceivable. The character customization unit generates a character that resembles a friend's face and features. For example, facial features can be created based on a photo of the friend, and the character's hairstyle and clothing can also be designed to resemble the friend's. The congratulatory message display unit displays a congratulatory message upon completion of the game. For example, a message such as "Congratulations on your marriage!" or "Happy birthday!" is displayed. This allows the system to provide a system in which a character that resembles a friend's face and features appears as a unique gift, and a congratulatory message is displayed upon completion of the game.

[0048] The game structure unit can provide a scenario in which the story branches depending on the choices made by the player. For example, the game structure unit introduces a branching scenario in which the choices made by the player change depending on the progress made in the game. For example, if the player obtains a specific item, the story will proceed in a different direction depending on whether or not the player uses the item. This allows the story to change depending on the player's choices, providing a more interactive game experience.

[0049] The game structure unit can provide an algorithm that automatically adjusts the difficulty of the game according to the skill level of the player. For example, the game structure unit can implement an algorithm that automatically adjusts the strength and number of enemies in the game according to the skill level of the player. For example, the number of enemies can be reduced for beginner players and increased for advanced players. This allows the game difficulty to be adjusted according to the skill level of the player, providing a gaming experience that anyone can enjoy.

[0050] The game structure unit may provide an emotion estimation function that dynamically changes the game difficulty and scenario according to the player's emotional state. For example, the game structure unit may use the emotion estimation function to analyze the player's emotional state in real time and dynamically change the game difficulty. For example, if the player is feeling stressed, the strength of the enemies may be weakened. This allows the game difficulty and scenario to be dynamically changed according to the player's emotional state, thereby providing a more personalized gaming experience.

[0051] The character customization unit can provide voice synthesis technology that imitates a friend's voice and speaking style. For example, the character customization unit introduces voice synthesis technology that imitates a friend's voice when customizing a character. For example, the character customization unit records a friend's voice and generates the character's lines based on that voice. This provides a more realistic experience by providing voice synthesis technology that imitates a friend's voice and speaking style.

[0052] The character customization unit can provide animations that mimic the movements and gestures of a friend. For example, the character customization unit adds animations that mimic the movements of a friend when customizing a character. For example, the friend's movements are recorded using motion capture and reflected in the character's movements. In this way, the realism of the character's movements can be improved by providing animations that mimic the movements and gestures of a friend.

[0053] The character customization unit can provide an emotion estimation function that dynamically changes the character's facial expression and behavior according to the player's emotional state. The character customization unit, for example, uses the emotion estimation function to dynamically change the character's facial expression according to the player's emotional state. For example, if the player is happy, the character will also smile. This allows the character's facial expression and behavior to dynamically change according to the player's emotional state, providing a more personalized experience.

[0054] The congratulatory message display unit can dynamically generate a congratulatory message based on the player's actions and selections in the game. The congratulatory message display unit dynamically generates the content of the congratulatory message based on the player's actions and selections in the game. For example, if the player completes a specific quest, a message related to that quest is displayed. In this way, by dynamically generating a congratulatory message based on the player's actions and selections, a more personalized message can be provided.

[0055] The congratulatory message display unit can provide a function to read out the congratulatory message aloud. For example, the congratulatory message display unit adds a function to read out the congratulatory message aloud, and conveys the message both visually and audibly. For example, "Congratulations on your marriage!" can be read out aloud at the same time as the text message. In this way, by reading out the congratulatory message aloud, the message can be conveyed both visually and audibly.

[0056] The congratulatory message display unit may provide an emotion estimation function that dynamically changes the tone and content of the message depending on the player's emotional state. The congratulatory message display unit, for example, uses the emotion estimation function to dynamically change the tone of the message depending on the player's emotional state. For example, if the player is relaxed, the message is displayed in a calm tone. This allows the message to be more moving by dynamically changing the tone and content of the message depending on the player's emotional state.

[0057] The congratulatory message display unit can provide a visual message using video or animation. For example, the congratulatory message display unit expands the display of the congratulatory message to a visual message using video or animation. For example, it displays an animation in which a character moves to convey the message. In this way, by providing a visual message using video or animation, it is possible to enhance the visual impact.

[0058] The congratulatory message display unit can provide a collage format of messages from multiple friends and family. The congratulatory message display unit, for example, expands the display of congratulatory messages to a collage format of messages from multiple friends and family. For example, multiple messages can be displayed on a single screen. This allows the collage format of messages from multiple friends and family to be provided, allowing the congratulations of more people to be conveyed.

[0059] The congratulatory message display unit may provide an emotion estimation function that provides a message customization suggestion according to the player's emotional state. The congratulatory message display unit, for example, uses the emotion estimation function to provide a message customization suggestion according to the player's emotional state. For example, if the player is moved, an emotional message is suggested. This allows a more emotional message to be provided by providing a message customization suggestion according to the player's emotional state.

[0060] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0061] The system can also be equipped with a function that triggers a specific action when the recipient completes the game. For example, a special coupon can be sent to the recipient's smartphone when the game is completed. Another possible system is to automatically deliver a surprise gift to a friend's home when the game is completed. Furthermore, a function can be added that automatically posts a congratulatory message to a friend's social media account when the game is completed. This allows players to surprise others in the real world by completing the game.

[0062] The system can also have the ability to dynamically change in-game music and sound effects based on the player's emotional state. For example, if the player is relaxed, calm music can be played. If the player is excited, fast-paced music can be played. Furthermore, if the player is stressed, relaxing natural sounds can be played. This allows for a more personalized gaming experience by dynamically changing the music and sound effects according to the player's emotional state.

[0063] The system can also monitor the player's health and have functions that affect the progress of the game. For example, it can measure the player's heart rate and blood pressure, and if abnormalities are detected, it can pause the game. It can also display a message encouraging the player to take a break if the player has been playing the game for a long time. Furthermore, it is conceivable that in-game characters could provide health advice based on the player's health condition. This will enable a gaming experience that takes the player's health into consideration.

[0064] The system can also have the ability to dynamically change the dialogue and behavior of in-game characters based on the player's emotional state. For example, if the player is sad, the character can offer words of encouragement. If the player is happy, the character can take an action to share the player's joy. Furthermore, if the player is angry, the character could say something encouraging the player to calm down. This allows the character's dialogue and behavior to dynamically change depending on the player's emotional state, providing a more emotionally relevant gaming experience.

[0065] The system may further analyze the player's gameplay data and provide suggestions for customizing the game based on the player's preferences. For example, if a player prefers games of a particular genre, the system may suggest new games related to that genre. If a player prefers a particular character, the system may suggest items or skins related to that character. Furthermore, the system may suggest customizing the game's difficulty and settings based on the player's play style. This allows the system to provide a more personalized gaming experience by providing suggestions for customizing the game based on the player's preferences.

[0066] The system may further include the ability to dynamically change the in-game environment or background based on the player's emotional state. For example, if the player is relaxed, a calming landscape or nature background may be displayed. Alternatively, if the player is excited, an action-packed background may be displayed. Furthermore, if the player is stressed, a landscape or background with a relaxing effect may be displayed. This allows for a more personalized gaming experience by dynamically changing the environment or background according to the player's emotional state.

[0067] The system can also have a function that provides specific rewards or bonuses based on the player's in-game behavior. For example, if a player completes a specific quest, they can earn special items or skins. Also, if a player achieves a certain score, they can earn in-game currency or points. Furthermore, if a player invites a friend to the game, they can earn additional rewards by playing with the friend. This can increase motivation for the game by providing specific rewards or bonuses based on the player's behavior.

[0068] The system may further include a function for dynamically changing in-game challenges and missions based on the player's emotional state. For example, if the player is relaxed, an easy challenge may be provided. Alternatively, if the player is excited, a more difficult challenge may be provided. Furthermore, if the player is stressed, a mission with a relaxing effect may be provided. This allows for a more personalized gaming experience by dynamically changing challenges and missions according to the player's emotional state.

[0069] The system can also have the ability to dynamically change the ending of the story based on the player's actions and choices in the game. For example, if the player helps a specific character, that character will appear in the ending. Also, if the player collects a specific item, that item can affect the ending. Furthermore, it is conceivable that the ending could branch into multiple patterns depending on the player's choices. This allows for a more interactive game experience by dynamically changing the ending of the story based on the player's actions and choices.

[0070] The system may further include a function for dynamically changing in-game character relationships and story development based on the player's emotional state. For example, if the player is happy, the relationships between characters may be positive. Conversely, if the player is sad, the relationships between characters may be tense. Furthermore, the story may develop in different directions depending on the player's emotional state. This allows for a more emotionally relevant gaming experience by dynamically changing character relationships and story development based on the player's emotional state.

[0071] The processing flow of the second embodiment will be briefly explained below.

[0072] Step 1: The game structure section provides the format for a simple action game or RPG. For example, it could be a simple action game where the player controls a character to defeat enemies and collect items, or an RPG where the player completes quests to progress through the story. Step 2: The character customization section creates a character that resembles a friend's face and features. For example, you can create facial features based on a photo of a friend, and design hairstyles and clothing to resemble that friend's. Step 3: The congratulatory message display unit displays a congratulatory message when the game is cleared. For example, messages such as "Congratulations on your marriage!" or "Happy birthday!" are displayed.

[0073] 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.

[0074] 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> Examples of generative AIs include the data generation model 58, such as a neural network model (e.g., a neural network model), and a neural network model (e.g., a neural network model). 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 speech, text data indicating text, and image data indicating an image is also input to the data generation model 58. 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. The specification processing unit 290 performs the above-mentioned specification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0075] Furthermore, the processing by the data processing system 10 described above is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart device 14, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart device 14. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information necessary for processing from the smart device 14 or an external device, and the smart device 14 acquires or collects information necessary for processing from the data processing device 12 or an external device.

[0076] [Second embodiment] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0077] 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0078] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and 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 and / or a LAN.

[0079] 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.

[0080] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0081] 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 user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0082] 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.

[0083] 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.

[0084] 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.

[0085] 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. The identification processing unit 290 can estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0086] In the smart glasses 214, the specific processing is performed by the processor 46. A specific processing program 60 is stored in the storage 50. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. Note that the smart glasses 214 may have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[0087] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0088] 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.

[0089] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. 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. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0090] The data processing system 210 according to the second embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 210 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart glasses 214, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart glasses 214. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the smart glasses 214 or an external device, etc., and the smart glasses 214 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0091] [Third embodiment] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0092] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0093] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and 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 and / or a LAN.

[0094] 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.

[0095] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0096] 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 user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0097] 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.

[0098] 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.

[0099] 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.

[0100] 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. The identification processing unit 290 can estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0101] In the headset type terminal 314, the identification process is performed by the processor 46. A identification program 60 is stored in the storage 50. The processor 46 reads the identification program 60 from the storage 50 and executes the read identification program 60 on the RAM 48. The identification process is realized by the processor 46 operating as a control unit 46A in accordance with the identification program 60 executed on the RAM 48. Note that the headset type terminal 314 may also have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[0102] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0103] 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.

[0104] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. 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. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0105] The data processing system 310 according to the third embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 310 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the headset type terminal 314, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the headset type terminal 314. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the headset type terminal 314 or an external device, etc., and the headset type terminal 314 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0106] [Fourth embodiment] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0107] 7, the 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.

[0108] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and 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 and / or a LAN.

[0109] 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.

[0110] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0111] 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 image sensor or a CCD image sensor, and captures images of the user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0112] 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.

[0113] The control object 443 includes a display device, LEDs in the eyes, and motors that drive 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.

[0114] 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.

[0115] 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.

[0116] 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. The identification processing unit 290 can estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0117] In the robot 414, the processor 46 performs the identification process. A identification program 60 is stored in the storage 50. The processor 46 reads the identification program 60 from the storage 50 and executes the read identification program 60 on the RAM 48. The identification process is realized by the processor 46 operating as a control unit 46A in accordance with the identification program 60 executed on the RAM 48. The robot 414 may have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[0118] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0119] 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.

[0120] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. 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. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0121] The data processing system 410 according to the fourth embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 410 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the robot 414, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the robot 414. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the robot 414 or an external device, etc., and the robot 414 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0122] 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.

[0123] FIG. 9 illustrates 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 behaviors arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion encompasses both emotions 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.

[0124] 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.

[0125] 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).

[0126] 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 expressed, and when they approach the ideal, a state of pleasure is expressed. Emotions can also be created for robots, cars, 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 expressed, and when they approach the ideal, a state of pleasure is expressed. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on speech emotion recognition and brain physiological signal analysis systems for emotions, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the area called "reaction," where sensation is dominant. The right half of the emotion map lists emotions belonging to the area called "situation," where situational awareness is dominant.

[0127] 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."

[0128] 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.

[0129] In the above embodiment, an example was given in which a specific process is performed by one computer 22, but the technology disclosed herein is not limited to this, and distributed processing of the specific process may be performed by multiple computers including computer 22.

[0130] 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.

[0131] 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.

[0132] 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.

[0133] The hardware resource for executing a specific process can be any of the following types of processors: A processor, for example, 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. A processor also includes 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.

[0134] The hardware resource that executes the specific process 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 process may be a single processor.

[0135] 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.

[0136] 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.

[0137] In the above example, the first to fourth embodiments have been described separately, but some or all of these embodiments may be combined. The smart device 14, smart glasses 214, headset terminal 314, and robot 414 are merely examples, and they may be combined, or other devices may be used. In the above example, the first and second embodiments have been described separately, but they may be combined.

[0138] 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.

[0139] 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. [Explanation of symbols]

[0140] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot

Claims

1. A game structure that provides simple action games and RPG formats, A character customization section that creates characters that resemble your friends' faces and features, A congratulatory message display unit that displays a congratulatory message when the game is cleared is provided. A system characterized by:

2. The game structure unit includes: Provide a scenario where the story branches depending on the player's choices The system of claim 1 .

3. The character customization unit: Provide voice synthesis technology that mimics the friend's voice and speaking style The system of claim 1 .

4. The congratulatory message display unit Dynamically generating the congratulatory message based on the player's in-game actions and choices The system of claim 1 .

5. The game structure unit includes: Provides an emotion estimation function that dynamically changes the game's difficulty level and scenario according to the player's emotional state. The system of claim 1 .

6. The character customization unit: Provides an emotion estimation function that dynamically changes the character's facial expressions and movements according to the player's emotional state. The system of claim 1 .

7. The congratulatory message display unit Provides an emotion estimation function that dynamically changes the tone and content of the message depending on the player's emotional state. The system of claim 1 .

8. The congratulatory message display unit Providing a collage of messages from multiple friends and family members. The system of claim 1 .

Images