An Agent-Based Network Model for Interpersonal Emotion Regulation in a Human-Bot Interaction.

This study analyses the effects of emotional coregulation in the interaction between a distressed human and a bot. Through the coregulation premises, an emotion contagion process impacts the emotional system, which initially increases the distress level of the bot due to the influence of the human’s emotions. Configuring the bot with optimal emotion regulation decreases its distress levels as it can self-regulate its emotions, which affects the human’s emotions, regulating them by the emotion contagion process. The results show how this coregulation process occurs.