[1R5-OS-10b] AI諸技術の発展に基づく学びのモデルの高度化と展望

[1R5-OS-10b-05] Development of estimation method for learner's emotional concealment during learning using biometric information

〇Koichi Shinohara¹, Tatsunori Matsui², Keiichi Muramatsu³ (1. Graduation of Human Science, Waseda University, 2. Faculity of Human Science, Waseda University, 3. Global Education Center, Waseda University)

[[Online]]

Keywords:Emotional Concealment, Biometric Information, Facial expression analysis

It is important to understand the mental state of the learner in the teaching/learning process, but sometimes the learner intentionally does not express negative emotions. In this study, intentionally not expressing such negative emotions is called emotional concealment, and we examined the possibility of estimating it from the learner's biometric information. In particular, we focused on the feature points of the learner's face, and attempted to clarify the relationship between microexpressions and emotion concealment. Using the results, we quantified emotion concealment from time-series data of biometric information, and tried to detect it as an abnormal value. In addition, we examined the development of feedback generation that tells the teacher that the teacher is hiding emotions using the results.