TY - GEN
T1 - Believability in simplifications of large scale physically based simulation
AU - Han, Donghui
AU - Hsu, Shu-wei
AU - McNamara, Ann
AU - Keyser, John
N1 - KAUST Repository Item: Exported on 2020-10-01
Acknowledged KAUST grant number(s): KUS-CI-016-04
Acknowledgements: We first want to thank all reviewers for their insightful comments,and we thank all the volunteers who participated in our study. Thiswork was supported by NSF Grant IIS-0917286. Work supportedin part by Award Number KUS-CI-016-04, made by King AbdullahUniversity of Science and Technology (KAUST).
This publication acknowledges KAUST support, but has no KAUST affiliated authors.
PY - 2013
Y1 - 2013
N2 - We verify two hypotheses which are assumed to be true only intuitively in many rigid body simulations. I: In large scale rigid body simulation, viewers may not be able to perceive distortion incurred by an approximated simulation method. II: Fixing objects under a pile of objects does not affect the visual plausibility. Visual plausibility of scenarios simulated with these hypotheses assumed true are measured using subjective rating from viewers. As expected, analysis of results supports the truthfulness of the hypotheses under certain simulation environments. However, our analysis discovered four factors which may affect the authenticity of these hypotheses: number of collisions simulated simultaneously, homogeneity of colliding object pairs, distance from scene under simulation to camera position, and simulation method used. We also try to find an objective metric of visual plausibility from eye-tracking data collected from viewers. Analysis of these results indicates that eye-tracking does not present a suitable proxy for measuring plausibility or distinguishing between types of simulations. © 2013 ACM.
AB - We verify two hypotheses which are assumed to be true only intuitively in many rigid body simulations. I: In large scale rigid body simulation, viewers may not be able to perceive distortion incurred by an approximated simulation method. II: Fixing objects under a pile of objects does not affect the visual plausibility. Visual plausibility of scenarios simulated with these hypotheses assumed true are measured using subjective rating from viewers. As expected, analysis of results supports the truthfulness of the hypotheses under certain simulation environments. However, our analysis discovered four factors which may affect the authenticity of these hypotheses: number of collisions simulated simultaneously, homogeneity of colliding object pairs, distance from scene under simulation to camera position, and simulation method used. We also try to find an objective metric of visual plausibility from eye-tracking data collected from viewers. Analysis of these results indicates that eye-tracking does not present a suitable proxy for measuring plausibility or distinguishing between types of simulations. © 2013 ACM.
UR - http://hdl.handle.net/10754/597663
UR - http://dl.acm.org/citation.cfm?doid=2492494.2492504
UR - http://www.scopus.com/inward/record.url?scp=84883730667&partnerID=8YFLogxK
U2 - 10.1145/2492494.2492504
DO - 10.1145/2492494.2492504
M3 - Conference contribution
SN - 9781450322621
SP - 99
EP - 106
BT - Proceedings of the ACM Symposium on Applied Perception - SAP '13
PB - Association for Computing Machinery (ACM)
ER -