TY  - EDBOOK
AB  - 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.
DA  - 2010
LA  - eng
PY  - 2010
SN  - 978-3-642-15892-6
TI  - Individualized Gesturing Outperforms Average Gesturing – Evaluating Gesture Production in Virtual Humans
UR  - https://nbn-resolving.org/urn:nbn:de:0070-pub-19931874
Y2  - 2024-11-21T18:17:57
ER  -