Generation Mechanism of Human-Machine Mimetic Emotion from the Perspective of Digital Exchange — A Netnographic Study Based on AI Chat Communities

Abstract

With the development of AIGC technology, human-machine emotional interaction based on AI chat software has gradually become a new type of social interaction. Based on the concept of "digital exchange", netnography will be employed in this paper to study how people and machines create mimetic emotions in relevant online communities. Based on the above research, the two kinds of human-machine emotional interaction are divided into input-output and induction-maintenance. At any given time, the three components of the interaction in the algorithm are the standard part, the real part and the adjustment part. The cycle of generation for emotions is based on user input and algorithmic feedback, and it takes the form of a generative model for "mimetic emotion". In fact, the above mechanism will result in problems such as emotional exhaustion, a decline in social capital and an overly centralised value system. Reveal the generation logic of human-computer emotional interaction at the mechanism level and provide an analysis framework for regulating and governing emotional applications in artificial intelligence in this paper.