Foundation of an affective tutoring system: learning how human tutors adapt to student emotion

The developing field of Affective Tutoring Systems (ATSs) has created a need to understand how such tutoring systems should adapt to the emotional state of students. To this end, an observational study of human tutors was conducted to learn how human tutors adapt to the affective state of students. This knowledge can then be used to implement the tutoring strategies of an ATS and is hence a critical foundation in its development. This paper presents the methodology and results of this observational study of human tutors and looks ahead to the future development of an animated pedagogical agent capable of detecting, expressing and adapting to emotion.

[1]  A de Vicente.  Towards tutoring systems that detect students' motivation: an investigation , 2003 .

[2]  Diane J. Litman,et al.  Recognizing emotions from student speech in tutoring dialogues , 2003, 2003 IEEE Workshop on Automatic Speech Recognition and Understanding (IEEE Cat. No.03EX721).

[3]  Abdolhossein Sarrafzadeh,et al.  Frown Gives Game Away: Affect Sensitive Tutoring Systems for Elementary Mathematics* , 2004 .

[4]  Rosalind W. Picard,et al.  An affective model of interplay between emotions and learning: reengineering educational pedagogy-building a learning companion , 2001, Proceedings IEEE International Conference on Advanced Learning Technologies.

[5]  Cristina Conati,et al.  Probabilistic assessment of user's emotions in educational games , 2002, Appl. Artif. Intell..

[6]  James C. Lester,et al.  Animated Pedagogical Agents: Face-to-Face Interaction in Interactive Learning Environments , 2000 .

[7]  Abdolhossein Sarrafzadeh,et al.  Pay Attention! The Computer is Watching: Affective Tutoring Systems , 2003 .

[8]  Mitsuru Ishizuka,et al.  Life-like characters - tools, affective functions, and applications , 2004, Life-like characters.

[9]  Rosalind W. Picard.  Affective Computing , 1997 .

[10]  Clifford Nass,et al.  The media equation - how people treat computers, television, and new media like real people and places , 1996 .

[11]  Chris Messom,et al.  Machine Vision for an Intelligent Tutor , 2003 .

[12]  Dirk Heylen,et al.  Facial Affect Displays during Tutoring Sessions , 2005 .

[13]  Elisabeth André,et al.  The Persona Effect: How Substantial Is It? , 1998, BCS HCI.