Study of a Spatio-Temporal Perplexion Estimation Method using Time-series Data of Learners’ Facial Expression

Abstract

Recently, ICT education has been introduced to the educational field, and the research and development of educational support robots have attracted attention. In this study, we focus on a perplexion estimation method for educational support robots that estimates perplexion based on learners’ facial expressions. The accuracy of a conventional method for estimating perplexion from facial expressions at time t, is not yet practical, and we believe that the accuracy of the method can be improved by using not only facial expressions at time t but also time-series data on changes in facial expressions between t-1 and t. This study focus on a perplexion estimation method for educational support robots that estimates perplexion based on facial expressions of learners. In this paper, we verify the accuracy of the spatio-temporal perplexion estimation method through simulation experiments.