Title
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, gesturing behavior generated with individual speaker networks was rated more positively in terms of likeability, competence and human-likeness.
Year
Venue
Keywords
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 Bergmann119917.95
Stefan Kopp270158.13
Friederike Eyssel326524.96