Self-Categorization Theory with 3D Emotional Model for Chatbot Emotional Support Systems
Self-Categorization Theory with 3D Emotional Model for Chatbot Emotional Support Systems
Akihiro Yorita,Mario Radke,Matthias Rätsch,Naoyuki Kubota
Abstract
Chatbots are increasingly being used for mental health care related to stress and other issues. With the advent of ChatGPT, conversations with chatbots have become commonplace, and a variety of support has become possible. However, future developments are expected to determine what kind of personality and persona mental healthcare chatbots will have and how they will express their emotions. Chatbots often have emotional models to show empathy to users, but only the psychological information of the users is considered, and there are few studies that cover physiological information as well. Therefore, in this study, to give the chatbot characteristics suitable for the user, we proposed a method for expressing emotions using three types of input information regarding active listening in emotional support.
