Share Paper: How are the emotions of students with autism spectrum disorders in game-based e-learning associated with distinct patterns of physiological signals and facial expressions?

  1. Hui-Chuan Chu, National University of Tainan, Taiwan
  2. Yuh-Min Chen, National Chen Kung University, Taiwan
  3. Min-Ju Liao, National Chung-Cheng University, Taiwan
  4. Chieh Yang, National Chen Kung University, Taiwan
Thursday, July 11 12:05-12:25 PM Room 117

Abstract: An emotional impairment is one of the core features of autism spectrum disorder (ASD) which can severely impede the learning process. In order for game-based e-learning systems to effectively assist students with ASD, the aims of this study were to investigate if the emotions of ASD in game-based e-learning could be identified and classified based on their physiological and facial expression measures. A total of 41physiological measures and 17 facial features were recorded in 15 students with ASD during three different emotion conditions. A stepwise discriminant analyses predicting emotions using the heart rate, heart rate variability, EMG, BVP, and SC ...