Extraneous information and graph comprehension

Campus-Wide Information Systems

Volumn 26, Issue 3, 2009, Pages 191-200

  Stewart, Brandie M ^a   Cipolla, Jessica M ^a   Best, Lisa A ^a  

^a UNIVERSITY OF NEW BRUNSWICK   (Canada)

Author keywords

Information retrieval; Presentation graphics

Indexed keywords

EID: 68949113562     PISSN: 10650741     EISSN: None     Source Type: Journal    
DOI: 10.1108/10650740910967375     Document Type: Article

References (20)

1. Benbasat, I. and Dexter, A.S. (1985), An experimental evaluation of graphical and color enhanced information presentation, Journal of Management Science, Vol. 31 No. 11, pp. 1348-64.
2. Carpenter, P.A. and Shah, P. (1998), A model of the perceptual and conceptual processes in graph comprehension, Journal of Experimental Psychology: Applied, Vol. 4 No. 2, pp. 75-100.
3. Cleveland, W.S. and McGill, R. (1984), Graphical perception: theory, experimentation, and application to the development of graphical methods, Journal of the American Statistical Association, Vol. 79 No. 387, pp. 531-54.
4. Cleveland, W.S. and McGill, R. (1985), Graphical perception and graphical methods for analyzing scientific data, Science, Vol. 229 No. 4716, pp. 828-33.
5. Fischer, M.H. (2000), Do irrelevant depth cues affect the comprehension of bar graphs?, Applied Cognitive Psychology, Vol. 14 No. 2, pp. 151-62.
6. Hartman, J.L., Dziuban, C. and Brophy-Ellison, J. (2007), Faculty 2.0, EDUCAUSE Review, Vol. 42 No. 5, pp. 62-76.
7. Hunter, A.C., Jones, S., Hickman, E., MacDonald, S. and Best, L.A. (2007), Graph comprehension as a factor of visuospatial differences, paper presented at the Annual Meeting of the Canadian Psychological Association.
8. Kosslyn, S.M. (1994), Elements of Graph Design, W.H. Freeman, New York, NY.
9. Mayer, R.E. and Massa, L.J. (2003), Three facets of visual and verbal learners: cognitive ability, cognitive style, and learning preference, Journal of Educational Psychology, Vol. 95 No. 4, pp. 833-46.
10. Pinker, S. (1990), A theory of graph comprehension, in Friedle, R. (Ed.), Artificial Intelligence and the Future of Testing, Erlbaum, Hillsdale, NJ, pp. 73-126.
11. Rangecroft, M. (2003), As easy as pie, Behaviour and Information Technology, Vol. 22 No. 6, pp. 421-6.
12. Shah, P. and Freedman, E. (2003), Visuospatial cognition in electronic learning, Journal of Educational Computing Research, Vol. 29 No. 3, pp. 315-24.
13. Shelley, G.B., Cashman, T.J., Gunter, R.A. and Gunter, G.A. (2008), Teachers Discovering Computers: Integrating Technology and Digital Media into the Classroom, 5th ed., Thompson Course Technology, Boston, MA.
14. Spence, I. and Krizel, P. (1994), Children's perception of proportion in graphs, Child Development, Vol. 65 No. 4, pp. 1193-213.
15. Stewart, B.M. (2007), The effect of depth cues and colour in graphical displays: a physiological examination (unpublished manuscript).
16. Tairab, H. and Khalaf, A. (2004), How do secondary school science students interpret and construct scientific graphs?, Journal of Biological Education, Vol. 38 No. 3, pp. 1-12.
17. Trickett, S. and Trafton, G. (2004), Toward a comprehensive model of graph comprehension: making the case for spatial cognition, in Barker-Plummer, D., Cox, R. and Swoboda, N. (Eds), Diagrammatic Representation and Inference, Springer, Berlin.
18. Tufte, E.R. (1983), The Visual Display of Quantitative Information, Graphics Press, Cheshire, CT.
19. Tufte, E.R. (2006), Beautiful Evidence, Graphics Press, Cheshire, CT.
20. Zacks, J., Levy, E., Tversky, B. and Schiano, D.J. (1998), Reading bar graphs: effects of extraneous depth cues and graphical context, Journal of Experimental Psychology: Applied, Vol. 4 No. 2, pp. 119-38.