An Adaptive Network Model for Interpersonal Emotion Regulation in Multimodal Human-Bot Interaction
摘要
This paper provides and analyses a model and simulated data about human-bot interaction to help guide designers in assessing to what extent mapping human-like mental processes and behaviors on their companion bots has valuable effects. The analysis results found here provide a promising perspective for interpersonal emotion regulation using such human-like bots. The bot's multimodal interactions helped to regulate the human’s emotions by effects of emerging synchrony during the interaction even under less favorable situations such as poor individual emotion regulation capabilities.