Towards Developing an Active Listening Counseling Robot for Multiple Generations: A Text Mining Study on Emotional Expression of the Elderly and the Young

Abstract

This study examined an active listening counseling chatbot using Miracle Questions for addressing emotional distress in various age groups. It is based on Solution-Focused Brief Therapy (SFBT). The experiment targeted older people and young university students over three weeks, and changes in the expression of emotions in each generation were analyzed. The results showed qualitative differences in the vocabulary characteristics of the participants, with their positive emotion-expressive behavior increasing more significantly than their negative feelings. This suggests that active listening methods using the Miracle Question are promising for designing a dialogue system suitable for elderly patients. In the future, we will develop a dialogue model that provides topics based on the emotional expressions obtained in this text analysis and further implement this into an active listening counseling robot.