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Affective Behavior and Nonverbal Interaction in Collaborative Virtual Environments
Adriana Peña, Nora Rangel, Mirna Muñoz, Jezreel Mejia and Graciela Lara
Journal of Educational Technology & Society
Vol. 19, No. 2, Intelligent and Affective Learning Environments: New Trends and Challenges (April 2016), pp. 29-41
Published by: International Forum of Educational Technology & Society
Stable URL: http://www.jstor.org/stable/jeductechsoci.19.2.29
Page Count: 13
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ABSTRACT While a person's internal state might not be easily inferred through an automatic computer system, within a group, people express themselves through their interaction with others. The group members' interaction can be then helpful to understand, to certain extent, its members' affective behavior in any case toward the task at hand. In this context, a Collaborative Virtual Environment for learning represents a resourceful technology where students can interact with the environment and with each other by their graphical representation, i.e., their avatar; and all at once, each participant's action can be automatically followed. We propose the analysis of nonverbal interaction to identify affective behavior during the accomplishment of collaborative tasks, which can be extended to verbal content. An exploratory study was conducted to understand the possibilities of this approach; the results showed behavior patterns that can be associated with task-focused affective states.
Copyright 2016 by International Forum of Educational Technology & Society (IFETS)