| Paper: | PS-1B.18 |
| Session: | Poster Session 1B |
| Location: | Symphony/Overture |
| Session Time: | Thursday, September 6, 18:45 - 20:45 |
| Presentation Time: | Thursday, September 6, 18:45 - 20:45 |
| Presentation: |
Poster
|
| Publication: |
2018 Conference on Cognitive Computational Neuroscience, 5-8 September 2018, Philadelphia, Pennsylvania |
| Paper Title: |
How does motion affect material perception of deformable objects? |
| Manuscript: |
Click here to view manuscript |
| DOI: |
https://doi.org/10.32470/CCN.2018.1275-0 |
| Authors: |
Wenyan Bi, American University, United States; Hendrikje Nienborg, University of Tubingen, Germany; Bei Xiao, American University, United States |
| Abstract: |
Humans are very efficient at visually estimating material properties from dynamic scenes. Here we ask whether, and how, dynamic information can affect the perception of mechanical properties of cloth. Experiment 1 found that material categories (e.g., Is the cloth silk or felt?) significantly influence the estimation of the stiffness of cloth in both the image and video condition. However, this effect is largely decreased in the video condition. In Experiment 2, we quantified the motion information using a new visual cue, speed coherency, which is calculated from the spatial-temporal displacement within every two consecutive frames. We provide experimental evidence to show that manipulating the speed coherency can directly alter the impression of objects’ stiffness. In sum, we demonstrate that dynamic information can partially discount the effect caused by the optical properties. Moreover, dynamic information alone influences the perception of mechanical properties. |
