[4N1-IS-3a] Agents (1/2)

[4N1-IS-3a-02] Estimating Children's Intrinsic Motivation during Class Based on Face Orientation and Gaze Information

〇Keisuke Morita¹, Natsuki Oka¹, Kazuaki Tanaka¹, Masahiro Miyata², Takashi Omori² (1. Kyoto Institute of Technology, 2. Tamagawa University)

Keywords:Non-cognitive abilities, Intrinsic motivation, Cognitive Science in the Classroom

It is believed that non-cognitive abilities grow significantly during childhood, and the Japanese early childhood education community has begun to focus on the education of non-cognitive abilities. However, measurement and estimation methods of non-cognitive abilities have challenges in quantitative and objective aspects. Besides, there is still little research on the active use of AI technology in education. In this study, we proposed a method for quantitatively estimating "motivation for class," which is one of the children's non-cognitive abilities. Specifically, we examined the number and distribution of intersections between children's gazes using the information on the direction of their faces and their gazes during class and determined whether all children should focus their gazes on a single point. We also quantitatively examined whether each child behaved according to the scene by measuring the distance between each child's gaze and the center of gravity of the intersection of the other children's gazes. As a result, we found that we could capture the characteristics of each child's behavior. In the future, we plan to use inverse reinforcement learning to estimate intrinsic motivation from children's gaze information.