Body and symbol in AutoTutor: Conversations that are responsive to the learners' cognitive and emotional states
This chapter describes AutoTutor as a computer system that holds conversations with people in natural language. This computer system attempts to interpret the language and emotions of the learner in an effort to be dynamically adaptive. AutoTutor also holds a mixed initiative dialogue by asking and answering questions, giving hints, filling in missing pieces of information and correcting misconceptions. This chapter addresses the question of whether it is possible to have a computer generate and interpret cognition, action, and emotions. It identifies some components of AutoTutor that are most naturally construed as symbolic and that might present some challenges to those who are pursuing an embodied theoretical framework. It clarifies the sense in which a representation is considered as being embodied or symbolic.
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