Abstract
In this paper we propose an algorithm based on fuzzy similarity which models the concept of resemblance between facial expressions of an Embodied Conversational Agent (ECA). The algorithm measures the degree of visual resemblance between any two facial expressions. We also present an evaluation study in which we compared the users’ perception of similarity of facial expressions. Finally we describe an application of this algorithm to generate complex facial expressions of an ECA.
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Niewiadomski, R., Pelachaud, C. (2007). Fuzzy Similarity of Facial Expressions of Embodied Agents. In: Pelachaud, C., Martin, JC., André, E., Chollet, G., Karpouzis, K., Pelé, D. (eds) Intelligent Virtual Agents. IVA 2007. Lecture Notes in Computer Science(), vol 4722. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74997-4_9
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DOI: https://doi.org/10.1007/978-3-540-74997-4_9
Publisher Name: Springer, Berlin, Heidelberg
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