Personality-Guided Response Generation for Consistent AI Dialogue
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Solution Overview
Problem
Existing natural language processing systems lack the ability to generate personalized and interactive responses that correspond to a user's personality, leading to less engaging and less personalized interactions.
Innovation Solution
A system that determines a personality relevant to a user input and generates responses using large language models (LLMs) that incorporate personality-specific characteristics, enabling personalized and interactive conversations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing natural language processing systems generate standard responses, then the system operation is simple and reliable, but the user satisfaction and interaction quality deteriorate due to lack of personalization
Solution Approach 1:
The patent applies local quality by determining specific personality characteristics relevant to each user input and generating responses with tailored personality traits. Instead of using a single uniform response style, the system adapts the personality characteristics (such as tone, formality, enthusiasm) locally to match the specific user query and context, thereby improving both reliability through structured personality determination and adaptability through personalized response generation
2Adaptability or versatility
If the system incorporates personality determination and personalized response generation, then user satisfaction and interaction quality improve, but the device complexity increases due to additional processing components
Solution Approach 1:
The patent segments the response generation process into distinct functional components: a personality determination component that analyzes user inputs and identifies relevant personality characteristics, and a response generation component that synthesizes responses incorporating those characteristics. This segmentation allows each component to focus on specific tasks, making the overall complex system more manageable and easier to implement while achieving high adaptability
Solution Approach 2:
The system performs preliminary action by determining the relevant personality characteristics before generating the actual response. The personality determination component processes the user input first, identifies the appropriate personality traits, and prepares this information in advance for the response generation component. This preliminary analysis enables the response generation to be more targeted and personalized without requiring the entire system to handle all complexity simultaneously
Data Source
AI summary
Techniques for using a model to generate a response to a user input, where the response is associated with a personality determined to be relevant to the user input, are described. The system receives a user input and context data associated with the user input. Using the user input data and/or the context data, the system determines a personality (e.g., including a personality type and/or personality characteristics) relevant to the user input. The system generates a prompt instructing a model to generate a response to the user input that corresponds to the personality. The model processes the prompt to generate a response to the user input that corresponds to the personality. In some embodiments, the model generates a request for another component of the system to generate information responsive to the user input. The model may transform the responsive information into the personality-associated response.