Listening Skills Assessment through Computer Agents

Abstract

Social skills training, performed by human trainers, is a well-established method for obtaining appropriate skills in social interaction. Previous work automated the process of social skills training by developing a dialogue system that teaches social skills through interaction with a computer agent. Even though previous work that simulated social skills training considered speaking skills, human social skills trainers take into account other skills such as listening. In this paper, we propose assessment of user listening skills during conversation with computer agents toward automated social skills training. We recorded data of 27 Japanese graduate students interacting with a female agent. The agent spoke to the participants about a recent memorable story and how to make a telephone call, and the participants listened. Two expert external raters assessed the participants' listening skills. We manually extracted features relating to eye fixation and behavioral cues of the participants, and confirmed that a simple linear regression with selected features can correctly predict a user's listening skills with above 0.45 correlation coefficient.