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IVA
2010
Springer

Individualized Gesturing Outperforms Average Gesturing - Evaluating Gesture Production in Virtual Humans

8 years 3 months ago
Individualized Gesturing Outperforms Average Gesturing - Evaluating Gesture Production in Virtual Humans
Abstract. How does a virtual agent’s gesturing behavior influence the user’s perception of communication quality and the agent’s personality? This question was investigated in an evaluation study of co-verbal iconic gestures produced with the Bayesian network-based production model GNetIc. A network learned from a corpus of several speakers was compared with networks learned from individual speaker data, as well as two control conditions. Results showed that automatically GNetIc-generated gestures increased the perceived quality of an object description given by a virtual human. Moreover, the virtual agent showing gesturing behavior generated with individual speaker networks was rated more positively in terms of likeability, competence and human-likeness. Key words: Evaluation, Gesture Generation, Inter-subjective Differences
Kirsten Bergmann, Stefan Kopp, Friederike Eyssel
Added 28 Jan 2011
Updated 28 Jan 2011
Type Journal
Year 2010
Where IVA
Authors Kirsten Bergmann, Stefan Kopp, Friederike Eyssel
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