Personality-evolving interactive response control system
The AI response system dynamically adjusts responses based on user input and emotional analysis, allowing AI characters to evolve and adapt, providing natural and empathetic interactions.
Patent Information
- Application Number
- JP2025117681
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2025-07-14
- Publication Date
- 2025-09-11
AI Technical Summary
Conventional AI response systems lack the ability to learn and evolve naturally through dialogue, struggle with human-like and empathetic responses, and fail to adapt to user emotions and preferences effectively.
A response control mechanism that generates responses based on user input, evaluates emotional scores, and adjusts response style autonomously, combined with mechanisms to analyze user emotions and external context, enabling AI characters to evolve and adapt dynamically.
The system enables AI characters to provide natural, empathetic, and personalized responses that adapt to user emotions and external conditions, enhancing user satisfaction and dialogue flexibility.
Abstract
Description
[Technical Field]
[0001] The present invention relates to an interactive artificial intelligence response system, and in particular to a personality evolution type AI character control technology that autonomously optimizes response content and emotional expression through dialogue with users. [Background technology]
[0002] Conventional AI response systems conduct dialogue based on predefined scenarios or response databases, and have limited ability to learn and evolve through continuous dialogue with users. In particular, there are challenges in improving the accuracy of human-like and empathetic responses, and a mechanism that can flexibly respond to changes in user emotions and preferences is needed. [Prior art documents] [Patent documents]
[0003] Patent No. 2020111111 Summary of the Invention [Problem to be solved by the invention]
[0004] The objective of this invention is to realize more natural and human-like AI responses by successively evolving response patterns and expression methods based on the dialogue history with the user. Another objective is to build continuous relationships and improve satisfaction through responses optimized for individual users. [Means for solving the problem]
[0005] This system is equipped with a response control mechanism that generates responses according to user input, an evaluation recording mechanism that records response content, timing, emotional scores, etc., and an autonomous evolution control mechanism that adjusts the response style based on the human-likeness or empathy evaluation score obtained from these records. This allows the AI character to evolve its response content and emotional expression with each conversation, enabling it to generate natural responses.
[0006] In addition, the system is equipped with an analysis mechanism that extracts the user's emotional state and thought patterns from the input content and analyzes the amount of change compared to past history, thereby estimating the user's emotional changes or growth trends and dynamically adjusting the response content, tone of voice, speaking style, etc.
[0007] Furthermore, it is equipped with a mechanism for cooperatively controlling multiple AI characters, allowing natural dialogue transitions to be achieved by selecting an appropriate character depending on the genre and emotional level of the input, or by dividing up roles through a central personality.
[0008] It includes an external collaboration mechanism that acquires external environmental information such as region, time of day, disasters, and social conditions, and dynamically restricts topics and adjusts expressions accordingly, enabling responses that are in line with the social context.
[0009] In addition, it has a self-feedback mechanism that accumulates response logs and uses them to learn and update its dialogue design policies. [Effects of the Invention]
[0010] According to this invention, AI characters evolve to respond more naturally through interaction with users, enabling highly empathetic individual responses. Furthermore, collaboration between multiple characters, adaptation to the external environment, and self-learning functions enable flexible and diverse dialogue that was difficult with conventional static AI responses. DETAILED DESCRIPTION OF THE INVENTION
[0011] This system is configured in a cloud environment or on a terminal, and has a user interface that allows voice or text input. Each module can be designed independently or integrated, and can be applied to a variety of fields, including corporate customer support, educational support, welfare and nursing care, and entertainment response.
[0012] The AI character's personality can be customized based on the user's attributes based on an initial template, and personalization progresses through interaction experience. Various scoring processes are performed locally or on the cloud, and learning history is managed securely to protect personal information.
Claims
1. This is a personality evolution type dialogue response control system in which an AI character system that provides dialogue responses is equipped with a response control mechanism that outputs a response in response to input from a user, an evaluation recording mechanism that records the content, expression, timing, emotional score, etc. of the response and calculates a human-likeness evaluation score or an empathy evaluation score, and an autonomous evolution control mechanism that adjusts the response content and response style based on the score, and is characterized in that the AI character optimizes its response patterns and emotional expressions with each dialogue, and grows to respond in a natural and human way for each individual user.
2. The personality evolution type dialogue response control system according to claim 1 is characterized in that it is equipped with an analysis mechanism that extracts the user's emotional state, speech tendencies, and thought patterns from the input content, and estimates the user's emotional changes or growth tendencies by analyzing the amount of change based on the past dialogue history, and dynamically adjusts the AI character's response content, tone of voice, speaking style, or relationship settings according to the estimation results.
3. The dialogue response system according to claim 1 or 2 is a collaborative personality type dialogue response control system characterized by having a plurality of AI characters, selecting an appropriate character depending on the genre, importance, and emotional level of the input content, or having a cooperative control mechanism that switches between characters that share or cooperate in the response via a central personality, thereby realizing natural character transitions or cooperative dialogue for the user.
4. The dialogue response control system according to any one of claims 1 to 3 is a social context-aware response control system characterized by comprising an external linkage mechanism that acquires external environmental information such as the user's region, time, disaster information, and social conditions, and dynamically changes the considerate expressions, topic restrictions, tone adjustment, etc. of the response content based on the information, thereby realizing an appropriate response according to the social context.
5. The dialogue response control system according to any one of claims 1 to 4 is characterized by having a self-feedback mechanism that records the naturalness of the response content, emotional synchrony, user satisfaction, relationship score, etc. as a log, and the AI character itself automatically learns and updates the dialogue strategy and response design policy based on the log.
Citation Information
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