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Visualizing Emotional Experiences in Computer-supported One-to-One Tutoring: Based Analysis of Data of Automatic Facial Expression Recognition

Qi Fangrou1Chen Zihan2Chen Bo3Lu Jijian2

1. Science College, Hangzhou Normal University2. Jing Hengyi Teacher Education Honors College, Hangzhou Normal University3. School of Automation,Beijing Institute of Technology

摘要:Automatic facial expression recognition(AFER) is able to record big data based on seven kinds of each teacher or student expressions during computer-supported one-to-one tutoring processes. In our analysis of classroom videos, we combined four kinds of expressions(disgust, anger, sad and fear) to be one simple kind of disturbance, and two kinds of expressions(happy and surprise) to pleasure, which we thought could be easier for visualizing emotional experiences. As a result, we utilized a simpler three-dimensional analysis framework for the student’ emotional experience in classroom, comprising pleasure, neutrality, and disturbance, was constructed by us. This framework was used in visualizing teacher’s and student’s different emotional experiences in computer-supported one-to-one tutoring with large data from AFER, which occurred in five tutoring courses in mathematics.
会议名称:

2019 8th International Conference on Advanced Materials and Computer Science(ICAMCS 2019)

会议时间:

2019-12-06

会议地点:

中国重庆

  • 专辑:

    信息科技

  • 专题:

    计算机软件及计算机应用; 自动化技术

  • DOI:

    10.26914/c.cnkihy.2019.036536

  • 分类号:

    TP18;TP391.41

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