ACM Home Page
Please provide us with feedback. Feedback
Perceptual evaluation of cartoon physics: accuracy, attention, appeal
Full text PdfPdf (1.94 MB)
Source
Applied Perception in Graphics and Visualization archive
Proceedings of the 5th symposium on Applied perception in graphics and visualization table of contents
Los Angeles, California
SESSION: Animation table of contents
Pages 107-114  
Year of Publication: 2008
ISBN:978-1-59593-981-4
Authors
Marcos Garcia  Graphics Vision and Visualisation Group, Trinity College Dublin
John Dingliana  Graphics Vision and Visualisation Group, Trinity College Dublin
Carol O'Sullivan  Graphics Vision and Visualisation Group, Trinity College Dublin
Sponsor
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 19,   Downloads (12 Months): 122,   Citation Count: 0
Additional Information:

abstract   references   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1394281.1394301
What is a DOI?

ABSTRACT

People have been using stylistic methods in classical animation for many years and such methods have also been recently applied in 3D Computer Graphics. We have developed a method to apply squash and stretch cartoon stylisations to physically based simulations in real-time. In this paper, we present a perceptual evaluation of this approach in a series of experiments. Our hypotheses were: that stylised motion would improve user Accuracy (trajectory prediction); that user Attention would be drawn more to objects with cartoon physics; and that animations with cartoon physics would have more Appeal. In a task that required users to accurately predict the trajectories of bouncing objects with a range of elasticities and varying degrees of information, we found that stylisation significantly improved user accuracy, especially for high elasticities and low information. To assess attention, many simulated objects were shown to participants on which words appeared at random, the task being to speak and remember them. Our results do not confirm that attention can be directed in such a scenario using cartoon physics. However, a game with cartoon physics was chosen to be more appealing almost twice as often as one with no stylisation applied. We conclude that stylised motion can be a valuable tool to improve physically based animations.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

1
2
 
3
 
4
Bathe, L.-J. 1996. Finite Element Procedures. Prentice Hall, NJ, USA.
 
5
6
 
7
 
8
Clement, J. 1982. Students' preconceptions in introductory mechanics. American Journal of Physics 50, 1, 66--71.
 
9
Collomosse, J. P., Rowntree, D., and Hall, P. M. 2003. Cartoon-style rendering of motion from video. In Vision, Video and Graphics, 117--124.
 
10
 
11
 
12
 
13
Garcia, M., Dingliana, J., and O'Sullivan, C. 2007. A physically based deformation model for interactive cartoon animation. In Proceedings of the 4th Workshop on Virtual Reality Interaction and Physical Simulation (VRIPHYS 2007), Eurographics Association, J. Dingliana and F. Ganovelli, Eds., 27--34.
 
14
 
15
 
16
 
17
Kaiser, M. K., and Proffitt, D. R. 1987. Observers' sensitivity to dynamic anomalies in collisions. Perception and Psychophysics 42, 3, 275--280.
18
 
19
Liu, G. 2002. Mesh Free Methods: Moving Beyond the Finite Element Method. CRC Press, FL, USA.
 
20
21
 
22
Nealen, Andrew, Muller, Matthias, Keiser, Richard, Boxerman, Eddy, Carlson, and Mark. 2006. Physically based deformable models in computer graphics. Computer Graphics Forum 25, 4 (December), 809--836.
23
24
 
25
Opalach, A., and Maddock, S. C. 1994. Disney effects using implicit surfaces. In Proc. 5th Eurographics Workshop on Animation and Simulation.
26
 
27
 
28
Profitt, D., and Gilden, D. 1989. Understanding natural dynamics. Journal of Experimental Psychology: Human Perception and Performance. 15, 2, 384--393.
 
29
 
30
31
 
32
 
33
Thomas, F., and Johnston, O. 1981. Disney Animation - The Illusion of Life. Abbeville Press.
34
 
35
Wyvill, B. 1997. Animation and Special Effects. Introduction to Implicit Surfaces, 101--104. Edited by Jules Bloomenthal With Chandrajit Bajaj, Jim Blinn, Marie-Paule Cani-Gascuel, Alyn Rockwood, Brian Wyvill, and Geoff Wyvill.

Collaborative Colleagues:
Marcos Garcia: colleagues
John Dingliana: colleagues
Carol O'Sullivan: colleagues