Recognizing and responding to student affect

Beverly Woolf, Toby Dragon, Ivon Arroyo, David Cooper, Winslow Burleson, Kasia Muldner

Research output: Chapter in Book/Report/Conference proceedingConference contribution


This paper describes the use of wireless sensors to recognize student emotion and the use of pedagogical agents to respond to students with these emotions. Minimally invasive sensor technology has reached such a maturity level that students engaged in classroom work can us sensors while using a computer-based tutor. The sensors, located on each of 25 student's chair, mouse, monitor, and wrist, provide data about posture, movement, grip tension, facially expressed mental states and arousal. This data has demonstrated that intelligent tutoring systems can provide adaptive feedback based on an individual student's affective state. We also describe the evaluation of emotional embodied animated pedagogical agents and their impact on student motivation and achievement. Empirical studies show that students using the agents increased their math value, self-concept and mastery orientation.

Original languageEnglish (US)
Title of host publicationHuman-Computer Interaction
Subtitle of host publicationAmbient, Ubiquitous and Intelligent Interaction - 13th International Conference, HCI International 2009, Proceedings
Number of pages10
EditionPART 3
StatePublished - 2009
Event13th International Conference on Human-Computer Interaction, HCI International 2009 - San Diego, CA, United States
Duration: Jul 19 2009Jul 24 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 3
Volume5612 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other13th International Conference on Human-Computer Interaction, HCI International 2009
Country/TerritoryUnited States
CitySan Diego, CA


  • Intelligent tutoring systems
  • Pedagogical agents
  • Student emotion
  • Wireless sensors

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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