Name
Abstract | ||
|---|---|---|
In this article, we investigate human sensitivity to the coordination and timing of conversational body language for virtual characters. First, we captured the full body motions (excluding faces and hands) of three actors conversing about a range of topics, in either a polite (i.e., one person talking at a time) or debate/argument style. Stimuli were then created by applying the motion-captured conversations from the actors to virtual characters. In a 2AFC experiment, participants viewed paired sequences of synchronized and desynchronized conversations and were asked to guess which was the real one. Detection performance was above chance for both conversation styles but more so for the polite conversations, where desynchronization was more noticeable. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1145/1609967.1609969 | TAP |
Keywords | Field | DocType |
virtual character,motion capture,motion-captured conversation,conversation style,argument style,polite conversation,full body motion,perception,human sensitivity,conversational body language,graphics,detection performance,desynchronized conversation | Motion capture,Computer vision,Conversation,Communication,Simulation,Computer science,Politeness,Body language,Artificial intelligence,Perception | Journal |
Volume | Issue | ISSN |
6 | 4 | 1544-3558 |
Citations | PageRank | References |
12 | 0.92 | 12 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rachel McDonnell | 1 | 558 | 49.37 |
| Cathy Ennis | 2 | 127 | 8.74 |
| Simon Dobbyn | 3 | 240 | 15.96 |
| Carol O'Sullivan | 4 | 825 | 48.93 |