Online behavior evaluation with the switching wizard of Oz

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Abstract

Advances in animation and sensor technology allow us to engage in face-to-face conversations with virtual agents [1]. One major challenge is to generate the virtual agent's appropriate, human-like behavior contingent with that of the human conversational partner. Models of (nonverbal) behavior are pre-dominantly learned from corpora of dialogs between human subjects [2], or based on simple observations from literature (e.g. [3,4,5,6]) © 2012 Springer-Verlag Berlin Heidelberg.

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Poppe, R., Ter Maat, M., & Heylen, D. (2012). Online behavior evaluation with the switching wizard of Oz. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7502 LNAI, pp. 486–488). Springer Verlag. https://doi.org/10.1007/978-3-642-33197-8_54

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