Dissertation Information for Insuk OhNAME:
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SCHOOL: ADVISORS: COMMITTEE MEMBERS: MPACT Status: Fully Complete Title: Modeling believable human-computer interaction with an embodied conversational agent: Face-to-face communication of uncertainty Abstract: Embodied conversation agents (ECA) are computer-generated humanoid substitutes that are used to facilitate human-computer interaction. In the course of these interactions, ECA's must often express uncertainty to the human user. Thus, endowing an embodied conversational agent (ECA) with the ability to express and recognize uncertainty becomes a key challenge. The primary goal of the research was to develop an integrated framework for studying human behaviors for ECAs to achieve believable interactions, starting with the expression of different levels of uncertainty. The research consists of four distinct stages: Stage I, to elicit spontaneous uncertainty expressions; Stage II, to examine the reliability of these signals within and across communication channels; Stage III, to analyze these expressions to identify their components (part 1) and then code these behaviors into an ECA (part 2); and Stage IV, to examine whether the coded behavioral signals sent by the ECA are still recognized by human users. The results suggest there are reliable behavioral clues for degrees of uncertainty, and that these clues seem to be present in the nonverbal Communicating Uncertainty with an Embodied Conversational Agent behavior of people, and that they can be coded into ECA's such that humans interfacing with the ECA perceived the ECA's expression at the same level of uncertainty as was coded into it. Taken together, this research provides not only empirical evidence of a reliable uncertainty expression that can be coded into ECA's, but suggests a framework for coding other human cognitive and emotional states into ECAs to facilitate the believability of interaction between a human and an ECA. |
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