Robot Enabled Service Personalisation Based On Emotion Feedback

Abstract

In this paper, we describe the application of autonomous service personalisation used on a social robot in the context of health care, in particular for the elderly population. The intent is to design a framework where the robot can learn the user's preferences (likes and dislikes) over time based on facial expression as a form of feedback. By extracting emotional cues from facial expression, we can then compute the intensity of a given expression on the user and adapt the robot's services accordingly. To illustrate the application of this system, we use the case study of an emotion-aware music recommendation system.