Name
Abstract | ||
|---|---|---|
Virtual humans are often endowed with human-like characteristics to make them more appealing and engaging. Motion capture is a reliable way to represent natural motion on such characters, thereby allowing a wide range of animations to be automatically created and replicated. However, interpersonal differences in actors’ performances can be subtle and complex, yet have a strong effect on the human observer. Such effects can be very difficult to express quantitatively or indeed even qualitatively. We investigate two subjective human motion characteristics: attractiveness and distinctiveness. We conduct a perceptual experiment, where participants’ eye movements are tracked while they rate the motions of a range of actors. We found that participants fixate mostly on the torso, regardless of gait and actor sex, and very little on the limbs. However, they self-reported that they used hands, elbows and feet in their judgments, indicating a holistic approach to the problem. |
Year | Venue | Field |
|---|---|---|
2015 | Eurographics (Short Papers) | Computer vision,Motion capture,Torso,Gait,Computer science,Cognitive psychology,Attractiveness,Eye movement,Animation,Artificial intelligence,Perception,Optimal distinctiveness theory |
DocType | Citations | PageRank |
Conference | 2 | 0.40 |
References | Authors | |
3 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Cathy Ennis | 1 | 127 | 8.74 |
| Ludovic Hoyet | 2 | 190 | 27.11 |
| Carol O'Sullivan | 3 | 825 | 48.93 |