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Casual Information Visualization: Depictions of Data in Everyday Life
November/December 2007 (vol. 13 no. 6)
pp. 1145-1152
Information visualization has often focused on providing deep insight for expert user populations and on techniques for amplifying cognition through complicated interactive visual models. This paper proposes a new subdomain for infovis research that complements the focus on analytic tasks and expert use. Instead of work-related and analytically driven infovis, we propose Casual Information Visualization (or Casual Infovis) as a complement to more traditional infovis domains. Traditional infovis systems, techniques, and methods do not easily lend themselves to the broad range of user populations, from expert to novices, or from work tasks to more everyday situations. We propose definitions, perspectives, and research directions for further investigations of this emerging subfield. These perspectives build from ambient information visualization [32], social visualization, and also from artistic work that visualizes information [41]. We seek to provide a perspective on infovis that integrates these research agendas under a coherent vocabulary and framework for design. We enumerate the following contributions. First, we demonstrate how blurry the boundary of infovis is by examining systems that exhibit many of the putative proper ties of infovis systems, but perhaps would not be considered so. Second, we explore the notion of insight and how, instead of a monolithic definition of insight, there may be multiple types, each with particular characteristics. Third, we discuss design challenges for systems intended for casual audiences. Finally we conclude with challenges for system evaluation in this emerging subfield.

[1] G. D. Abowd and E. D. Mynatt, Charting past, present, and future research in ubiquitous computing. ACM Transactions Computer-Human Interaction, 7 (1): 29–58, 2000.
[2] P. Agre, Computation and Human Experience. Oxford University Press, 1997.
[3] R. Amar and J. Stasko, Knowledge precepts for design and evaluation of information visualizations. IEEE Transactions on Visualization and Computer Graphics (TVCG), 11 (4): 432–442, 2005.
[4] Ambient Devices, Inc. Ambient Orb. Retrived February 12, 2007 from .
[5] P. Aoki and A. Woodruff, Making space for stories: Abiguity in the design of personal communication systems. In Proceedings of CHI, 2005.
[6] L. Barrett and D. Barrett, An introduction to computerized experience sampling in psychology. Social Science Computer Review, 19 (2): 175–185, 2001.
[7] B. Bederson, Photomesa: a zoomable image browser using quantum treemaps and bubblemaps. In Proceedings of UIST 2001, pages 71–80, New York, NY, USA, 2001. ACM Press. ©2002 ACM, Inc. Reproduced by Permission.
[8] G. Bell, M. Blythe, and P. Sengers, Making by making strange: Defamiliarization and the design of domestic technologies. ACM Trans. Comput.-Hum. Interact., 12 (2): 149–173, 2005.
[9] J. Cadiz, G. Venolia, G. Jancke, and A. Gupta, Designingand deploying an information awareness interface. In Proceedings of CSCW, New York, NY, 2002. ACM Press. ©2002 ACM, Inc. Reproduced by permission.
[10] S. K. Card, J. Mackinlay, and B. Shneiderman, Readings in Information Visualization, Using Visualization to Think, chapter 1, pages 1–34. Morgan Kaufmann, 1999.
[11] S. K. Card, A. Newell, and T. P. Moran, The Psychology of Human-Computer Interaction. Lawrence Erlbaum Associates, Inc., Mahwah, NJ, USA, 1983.
[12] S. Consolvo and M. Walker, Using the experience sampling method to evaluate ubicomp applications. IEEE Pervasive Computing Mobile and Ubiquitous Systems, 2 (2): 24–31, April 2003.
[13] A. Crabtree, Ethnography in participatory design. In R. Chatfield, S. Kuhn, and M. Muller, editors, Participatory Design Conference, pages 93–105, Seattle, Washington, USA, Nov. 1998.
[14] A. C. de Valle and A. Opalach, The persuasive mirror. In Proceedings of Persuasive 2006, May 2006.
[15] Popular Tags Cloud. Retrived March 22, 2007 from http://del.icio.ustags.
[16] Digg Labs. Retrieved July 8, 2007 from http:/
[17] The Dumpster. Retrived July 8, 2007 from /.
[18] N. Feltron Annual Report 2006. Retrived March 22, 2007 from http://feltron.com06report\_index.html.
[19] B. J. Fogg, Persuasive computing. In Proceedings of CHI 1998, 1998.
[20] Friendster. Retrived March 20, 2007 from http:/
[21] W. Gaver, A. Boucher, S. Pennington, and B. Walker, Evaluating technologies for ludic engagement. In Proceedings of CHI, Extended Abstracts, 2005.
[22] J. Heer and danah boyd, Vizster: Visualizing online social networks. In Proceedings of IEEE Infovis, pages 33–40, 2005.
[23] G. Lakoff, Women, Fire, and Dangerous Things. University Of Chicago Press, April 1990.
[24] W. J. Mitchell, A. S. Inouye, and M. S. Blumenthal, editors. Beyond Productivity: Information Technology, Innovation, and Creativity. National Academy Press, 2003.
[25] Nike+ System. Retrived March 24, 2007 from
[26] D. A. Norman, Emotional Design: Why We Love (Or Hate) Everyday Things. Basic Books, January 2004.
[27] C. Plaisant, The challenge of information visualization evaluation. In Proceedings of AVI 2004, pages 109–116, 2004.
[28] Z. Pousman and J. Stasko, A taxonomy of ambient information systems: Four patterns of design. In Proceedings of Advanced Visual Interfaces, pages 67–74, May 2006.
[29] C. Ray Visitor.Files. Retrived March 22, 2007 from\&artist_id=5 .
[30] M. Romero and M. Mateas, A preliminary investigation of alien presence. In Proceedings of HCII 2005, 2005.
[31] P. Saraiya, C. North, and K. Duca, An insight-based methodology for evaluating bioinformatics visualizations. IEEE Transactions on Visualization and Computer Graphics, 11 (4): 443–456, July 2005.
[32] T. Skog, S. Ljunglblad, and L. E. Holmquist, Between aesthetics and utility: Designing ambient information visualization. In Proceedings of IEEE Infovis, pages 233–240, 2003.
[33] Slife Labs. Retrived March 20, 2007 from
[34] S. L. Star, The ethnography of infrastructure. American Behavioral Scientist, 43 (3): 377–391, 1999.
[35] J. Stasko, D. McColgin, T. Miller, C. Plaue, and Z. Pousman Evaluating the infocanvas peripheral awareness system: A longitudinal, in situ study. Technical Report GIT-GVU-05-08, Georgia Institute of Tech, nology, March 2005.
[36] J. Stasko, T. Miller, Z. Pousman, C. Plaue, and O. Ullah, Personalized peripheral information awareness through information art. In Proceedings of Ubicomp 2004, pages 18–35, 2004.
[37] M. Tory and T. Moller, Rethinking visualizations: A high-level taxonomy. In Proceedings of IEEE Infovis, pages 151–158, 2004.
[38] J. J. van Wijk, Views on visualization. IEEE Transactions on Visualization and Computer Graphics (TVCG), 12 (4): 421–432, July/August 2006.
[39] F. Viegas, S. Golder, and J. Donath, Visualizing email content: Portraying relationships from conversational histories. In Proceedings of CHI, New York, NY, USA, 2006. ACM Press. ©2006 ACM, Inc. Reproduced by permission.
[40] F. Viegas, E. Perry, E. Howe, and J. Donath, Artifacts of the presence era: Using information visualization to create an evocative souvenir. In Proceedings of IEEE Infovis, pages 105–111, 2004.
[41] F. Viegas and M. Wattenberg, Artistic data visualization: Beyond visual analytics. In Proceedings of HCII 2007 (in press), July 2007.
[42] M. Wattenberg, Visualizing the stock market. In CHI '99: CHI extended abstracts on Human factors in computing systems, pages 188–189, New York, NY, USA, 1999. ACM Press.
[43] S. Wehrend and C. Lewis, A problem-oriented classification of visualization techniques. In Proceedings of IEEE Infovis, pages 139–143, 1990.
[44] A. Wignell Sorting. Retrived February 2, 2007 from http:/
[45] R. Xiong and J. Donath, Peoplegarden: creating data portraits for users. In Proceedings of UIST (Symposium on User interface software and technology), pages 37–44, New York, NY, USA, 1999. ACM Press. ©1999 ACM, Inc. Reproduced by permission.

Index Terms:
Casual information visualization, ambient infovis, social infovis, editorial, design, evaluation.
Zachary Pousman, John Stasko, Michael Mateas, "Casual Information Visualization: Depictions of Data in Everyday Life," IEEE Transactions on Visualization and Computer Graphics, vol. 13, no. 6, pp. 1145-1152, Nov.-Dec. 2007, doi:10.1109/TVCG.2007.70541
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