Recognizing the emotional state of human and virtual instructors
作者：
Highlights：
• This research investigated whether participants are able to recognize the emotional tone of instructors in video clips.
• Participants successfully recognized the emotion displayed by both animated and human instructors.
• Participants excelled at differentiating positive from negative emotions for both animated and human instructors.
• Participants could tell if the human or animated instructor in a video clip was happy, content, frustrated or bored.
• Recognizing the emotional tone of the instructor is the first step in a cognitive-affective model of e-learning.
摘要
•This research investigated whether participants are able to recognize the emotional tone of instructors in video clips.•Participants successfully recognized the emotion displayed by both animated and human instructors.•Participants excelled at differentiating positive from negative emotions for both animated and human instructors.•Participants could tell if the human or animated instructor in a video clip was happy, content, frustrated or bored.•Recognizing the emotional tone of the instructor is the first step in a cognitive-affective model of e-learning.
论文关键词：Affective computing,Affective science,Emotional design,Instructional design,Instructional video
论文评审过程：Received 27 May 2020, Revised 5 September 2020, Accepted 5 September 2020, Available online 7 September 2020, Version of Record 11 September 2020.
论文官网地址：https://doi.org/10.1016/j.chb.2020.106554
