A Personalized Human-Machine Emotional Conversation System

Abstract

The invention discloses a personalized human-machine emotional conversation system. The personalized human-computer emotional conversation system includes: a personalized personality modeling and dynamic analysis module, a conversation management module, and a response comfort degree detection and response strategy adjustment module. Personalized personality modeling and dynamic analysis module includes: conversational knowledge base and psychological knowledge base, personalized personality modeling and dynamic analysis method; conversational management module includes the following steps: 1. Semantic analysis of user input; 2. Semantic analysis 3. Develop response strategies based on reasoning results; 4. Generate conversational content guided by response strategies; response comfort detection and response strategy adjustment modules include: emotional dynamics and psychological knowledge base, response comfort detection and Response policy adjustment method. The present invention is suitable for human-computer interaction tasks, and incorporates personalized personality modeling analysis and emotional conversation services, thereby improving the personalized natural interaction experience of the human-computer conversation system.

Description

technical field [0001] The invention relates to the technical fields of artificial intelligence, natural language understanding, emotional computing and human-computer interaction, in particular to a personalized human-computer emotional conversation system. Background technique [0002] Artificial intelligence tries to understand the essence of intelligence. By simulating human consciousness and thinking, it endows machines with similar capabilities to human intelligence to extend and expand human intelligence, so that machines can complete tasks that usually require human intelligence. Natural language processing is the "crown jewel" of artificial intelligence. It mainly studies various theories and methods that can realize effective communication between humans and computers using natural language. Affective computing takes emotion as the research object, aims at endowing computers with the ability to perceive, understand and express emotions, and aims at building a harmo...

AI Technical Summary

Problems solved by technology

[0003] Traditional human-machine conversational systems ignore the relationship between emotional factors and conversational responses during conversations, and often only focus on factual conversations; and do not consider user personalization factors, and cannot generate personalized responses based on user personality characteristics; Generalization between domains can only complete specific tasks in specific domains; and the generation of conversational responses mainly relies on information retrieval technology, which cannot generate conversational responses that have never appeared in the knowledge base

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