TY - GEN
T1 - Recognizing and responding to student affect
AU - Woolf, Beverly
AU - Dragon, Toby
AU - Arroyo, Ivon
AU - Cooper, David
AU - Burleson, Winslow
AU - Muldner, Kasia
PY - 2009
Y1 - 2009
N2 - 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.
AB - 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.
KW - Intelligent tutoring systems
KW - Pedagogical agents
KW - Student emotion
KW - Wireless sensors
UR - http://www.scopus.com/inward/record.url?scp=70350333926&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=70350333926&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-02580-8_78
DO - 10.1007/978-3-642-02580-8_78
M3 - Conference contribution
AN - SCOPUS:70350333926
SN - 364202579X
SN - 9783642025792
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 713
EP - 722
BT - Human-Computer Interaction
T2 - 13th International Conference on Human-Computer Interaction, HCI International 2009
Y2 - 19 July 2009 through 24 July 2009
ER -