Affective tutors: Automatic detection of and response to student emotion

Beverly Park Woolf, Ivon Arroyo, David Cooper, Winslow Burleson, Kasia Muldner

Research output: Chapter in Book/Report/Conference proceedingChapter

31 Scopus citations


This chapter describes the automatic recognition of and response to human emotion within intelligent tutors. Tutors can recognize student emotion with more than 80%accuracy compared to student self-reports, using wireless sensors that provide data about posture, movement, grip tension, facially expressed mental states and arousal. Pedagogical agents have been used that provide emotional or motivational feedback. Students using such agents increased their math value, self-concept and mastery orientation, with females reporting more confidence and less frustration. Low-achieving students-one third of whom have learning disabilities-report higher affective needs than their higher-achieving peers. After interacting with affective pedagogical agents, low-achieving students improved their affective outcomes and reported reduced frustration and anxiety.

Original languageEnglish (US)
Title of host publicationAdvances in Intelligent Tutoring Systems
EditorsRoger Nkambou, Jacqueline Bourdeau, Riichirio Mizoguchi
Number of pages21
StatePublished - 2010

Publication series

NameStudies in Computational Intelligence
ISSN (Print)1860-949X

ASJC Scopus subject areas

  • Artificial Intelligence

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