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    Foundation of an Affective Tutoring System: Learning How Human Tutors Adapt to Student Emotion

    Sarrafzadeh, Hossein; Alexander, Samuel T.V.; Hill, S

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    Date
    2008
    Citation:
    Alexander, S., Sarrafzadeh, A., and Hill, S. (2008). Foundation of an Affective Tutoring System: Learning How Human Tutors Adapt to Student Emotion. International Journal of Intelligent Systems Technologies and Applications. 4 (4) : 355-367.
    Permanent link to Research Bank record:
    https://hdl.handle.net/10652/2292
    Abstract
    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.
    Keywords:
    affective tutoring systems, emotional states, students
    ANZSRC Field of Research:
    080602 Computer-Human Interaction
    Copyright Holder:
    International Journal of Intelligent Systems Technologies and Applications

    Copyright Notice:
    All rights reserved
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    This digital work is protected by copyright. It may be consulted by you, provided you comply with the provisions of the Act and the following conditions of use. These documents or images may be used for research or private study purposes. Whether they can be used for any other purpose depends upon the Copyright Notice above. You will recognise the author's and publishers rights and give due acknowledgement where appropriate.
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    • Computing Journal Articles [51]

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