Animating causal overlays

Computer Graphics Forum

Volumn 27, Issue 3, 2008, Pages 751-758

  Bartram, Lyn ^a   Yao, Miao ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER GRAPHICS;

CAUSAL GRAPH; GRAPHICAL OBJECTS; PERCEPTUAL PSYCHOLOGY;

VISUALIZATION;

EID: 53149098972     PISSN: 01677055     EISSN: 14678659     Source Type: Journal    
DOI: 10.1111/j.1467-8659.2008.01204.x     Document Type: Article

References (27)

1. Baumgartner E. : Causal Mapping Nov 2001). http://cilt.berkeley.edu/ synergy/causalmap/.
2. Becker R. A., Cleveland W. S. : Brushing scatterplots. Technometrics 29, 2 (1987 127 142.
3. Bartram L., Ware C. : Filtering and Brushing with Motion. Information Visualization 1, 1 (2002 66 79.
4. Chen C. : Top 10 Unsolved Information Visualization Problems. IEEE Computer Graphics and Applications 25, 4 (2005 12 16.
5. Chaput, H., Cohen, C. : A Model of Infant Causal Perception and its Development. Proceedings of the Twenth-Third Annual Conference of the Cognitive Science Society 2001 182 187.
6. Choi H., Scholl B. J. : Connections to representational momentum Acta Psychol 123 (September 2002 91 111.
7. Elmqvist N., Tsigas P. : Animated visualization of causal relations through growing 2D geometry. Information Visualization 3 (2004 154 172.
8. Guski R., Troje N. F. : Audiovisual phenomenal causality. Percept Psychophys 65 (2003 789 800.
9. Huber D. E., Healey C. G. : Visualizing Data with Motion. In Proceedings IEEE Visualization 2005 (2005 527 534.
10. Hubbard T., Favetto A. : Naïve impetus and Michotte's "tool effect" evidence from representational momentum. Psychological Research 67 (2003 134 152.
11. Hubbard T. : The Perception of Causality: Insights from Michotte's Launching Effect, Naïve Impetus Theory, and Representational Momentum. In Fechner Day 2004. Portugal : International Society for Psycho-physics 2004 116 121.
12. Kadaba N., Irani P., Leboe J. : Visualizing causal semantics using animations. Visualization and Computer Graphics. 13, 6 (2007 1254 1261.
13. Kemmerer B., Mishra S. : Bayesian causal maps as decision aids in venture capital decision making: Methods and applications. In Proceedings of the Academy of Management Conferenc Eur. J. Oper. Res. (2002).
14. Leslie A. M., Keeble S. : Do six-month-old infants perceive causality Cognition 25 (1987 265 288.
15. Marriott K., Moulder P., Hope L., Twardy C. : Layout of Bayesian Networks. In The 28th Australian Computer Science Conference (2005).
16. Michotte A. : The Perception of Causality. New York : Basic Book (1963).
17. Nadkarni S., Shenoy P. P. : A Bayesian network approach to making inferences in causal maps. Eur. J. Oper. Res. 128, 02 (2001 479 498.
18. Neufeld E., Solheim J., Kristtorn S. : Experiments in the Perception of Causality. In Proceedings of SMARTGraphics (2006).
19. Schlottmann A., Anderson N. H. : An information integration approach to phenomenal causality. Mem. Cognit 21 (1993 785 801.
20. Schlottmann A., Ray E. D., Mitchell A., Demetriou N. : Perceived physical and social causality in animated motions: spontaneous reports and ratings. Acta Psychol. 123 (2006 112 143.
21. Scholl B. J., Nakayama K. : Causal capture: contextual effects on the perception of collision events. Psychol. Sci. 13 (2002 493 498.
22. Scholl B. J., Nakayama K. : Illusory Causal Crescents: Misperceived spatial relations due to perceived causality. Perception 33 (2004 455 469.
23. Ware C. : Information Visualization: Perception for Design. Morgan Kaufmann Publishers Inc (2004).
24. Ware C., Neufeld E., Bartram L. : Visualizing causal relations. In Proceedings of IEEE Symposium on Information Visualization (1999).
25. Ware C., Bonner J., Cater R., Knight W. : Simple Animation as a Human Interrupt. International Journal of Human-Computer Interaction 4, 4 (1992 341 348.
26. Yao M. : Visualizing Causality in Context with Animation. M.Sc. Thesis, SIAT, Simon Fraser University (2007).
27. Young M. E., Rogers E. T., Bechmann J. S. : Causal impressions: Predicting when, not just whether. Memory and Cognition 33 (2005 320 331.