An affective computing algorithm based on temperament type in E－Learning

• Main Authors: WANG Biyun, YANG Xinkai
• Format: Article
• Language: English
• Published: Academic Journals Center of Shanghai Normal University 2013-02-01
• Series: Journal of Shanghai Normal University (Natural Sciences)
• Subjects: E－Learning; temperament type; emotional intensity; affective computing
• Online Access: http://qktg.shnu.edu.cn/zrb/shsfqkszrb/ch/reader/create_pdf.aspx?file_no=201301005&year_id=2013&quarter_id=1&falg=1

This paper extracts five emotional features according to the emotions that may affect in learning,and introduces psychological theory to generate emotional susceptibility matrix and to draw personalized emotion vector by different learners' temperament type vectors,which all reflect the emotional state of the learners more realistically.This paper also recommends learners of different emotions and emotional intensity to learn the knowledge of different levels of difficulty,making learning more humane.Temperament type is a temperament doctrine evolved based on the Hippocratic humoral theory and can be a good expression of human personality foundation.Temperament type has been introduced into affective computing in the E－Learning in this paper so that computer can be better on the classification of the learner's personality and learning state and realistically be individualized.