The Community for Technology Leaders
RSS Icon
Issue No.06 - Nov.-Dec. (2012 vol.32)
pp: 88-94
Visualization is often seen as a tool to support complex thinking. Although different people can have very different ways of approaching the kind of complex task that visualizations support, as researchers and designers we still rarely consider individual differences in creating and evaluating visualizations. This article reviews recent research on individual differences in visualization and human-computer interaction, showing that both cognitive abilities and personality profiles might significantly affect performance with these tools. The study of individual differences has led to the conclusion that advances in this important area in visualization will require more focused research. Specifically, we must isolate the cognitive factors that are relevant to visualization and the design factors that make one visualization more suited to a user than another. In doing so, we could increase our understanding of the visualization user and reshape how we approach design and evaluation.
computer graphics, information visualization, visual analytics, individual differences, personality, cognitive science,
C. Ziemkiewicz, A. Ottley, R. J. Crouser, K. Chauncey, S. L. Su, R. Chang, "Understanding Visualization by Understanding Individual Users", IEEE Computer Graphics and Applications, vol.32, no. 6, pp. 88-94, Nov.-Dec. 2012, doi:10.1109/MCG.2012.120
1. M.C. Velez, D. Silver, and M. Tremaine, "Understanding Visualization through Spatial Ability Differences," Proc. 2005 IEEE Conf. Visualization (VIS 05), IEEE, 2005, pp. 511–518.
2. C. Conati and H. Maclaren, "Exploring the Role of Individual Differences in Information Visualization," Proc. Working Conf. Advanced Visual Interfaces (AVI 08), ACM, 2008, pp. 199–206.
3. C.A. Cohen and M. Hegarty, "Individual Differences in Use of External Visualisations to Perform an Internal Visualisation Task," Applied Cognitive Psychology, vol. 21, no. 6, 2007, pp. 701–711.
4. C. Chen and M. Czerwinski, "Spatial Ability and Visual Navigation: An Empirical Study," New Rev. of Hypermedia and Multimedia, vol. 3, no. 1, 1997, pp. 67–89.
5. J.S. Yi, "Implications of Individual Differences on Evaluating Information Visualization Techniques," Proc. BELIV '10 Workshop, ACM, 2010.
6. B.W. Roberts and W.F. DelVecchio, "The Rank-Order Consistency of Personality Traits from Childhood to Old Age: A Quantitative Review of Longitudinal Studies," Psychological Bull., vol. 126, no. 1, 2000, pp. 3–25.
7. B. Saati, M. Salem, and W.-P. Brinkman, "Towards Customized User Interface Skins: Investigating User Personality and Skin Colour," Proc. 11th Int'l Conference Human-Computer Interaction (HCI 05), Lawrence Erlbaum Associates, 2005, pp. 89–93.
8. K.E. Pocius", "Personality Factors in Human-Computer Interaction: A Review of the Literature," Computers in Human Behavior, vol. 7, no. 3, 1991, pp. 103–135.
9. C. Ziemkiewicz and R. Kosara, "Preconceptions and Individual Differences in Understanding Visual Metaphors," Computer Graphics Forum, vol. 28, no. 3, 2009, pp. 911–918.
10. T. Green and B. Fisher, "Towards the Personal Equation of Interaction: The Impact of Personality Factors on Visual Analytics Interface Interaction," Proc. 2010 IEEE Symp. Visual Analytics Science and Technology (VAST 10), IEEE CS, 2010, pp. 203–210.
11. J.B. Rotter, "Generalized Expectancies for Internal versus External Control of Reinforcement," Psycho-logical Monographs, vol. 80, no. 609, 1966, pp. 1–28.
12. C. Ziemkiewicz et al., "How Locus of Control Influences Compatibility with Visualization Style," Proc. 2011 IEEE Conf. Visual Analytics Science and Technology (VAST 11), IEEE, 2011, pp. 81–90.
13. S.K. Card and J. Mackinlay, "The Structure of the Information Visualization Design Space," Proc. IEEE Symp. Information Visualization, IEEE, 1997, pp. 92–99.
14. S. Pinker, "A Theory of Graph Comprehension," Artificial Intelligence and the Future of Testing, R.O. Freedle ed., Lawrence Erlbaum Associates, 1990, pp. 73–126.
15. I.A. Khan et al., , "Measuring Personality from Keyboard and Mouse Use," Proc. 15th European Conf. Cognitive Ergonomics (ECCE 08), ACM, 2008, article 38.
228 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool