Title | ||
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Individualized gesturing outperforms average gesturing: evaluating gesture production in virtual humans |
Abstract | ||
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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, gesturing behavior generated with individual speaker networks was rated more positively in terms of likeability, competence and human-likeness. |
Year | Venue | Keywords |
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2010 | IVA | virtual agent,virtual human,gnetic-generated gesture,communication quality,gesturing behavior,individualized gesturing,gesture production,gesturing behavior influence,individual speaker data,co-verbal iconic gesture,average gesturing,individual speaker network,bayesian network-based production model,bayesian network,evaluation |
Field | DocType | Volume |
Object description,Communication quality,Virtual agent,Computer science,Gesture,Bayesian network,Virtual actor,Multimedia,Perception,Personality | Conference | 6356 |
ISSN | ISBN | Citations |
0302-9743 | 3-642-15891-9 | 21 |
PageRank | References | Authors |
1.55 | 19 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Kirsten Bergmann | 1 | 199 | 17.95 |
Stefan Kopp | 2 | 701 | 58.13 |
Friederike Eyssel | 3 | 265 | 24.96 |