Issue No. 04 - July/August (2009 vol. 29)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MCG.2009.70
David W. Sprague , University of Victoria
Melanie Tory , University of Victoria
Guiding principles behind casual information visualization (InfoVis) design appear torn between maintaining current visualization best practices and focusing on user motivation to get "eyes on the screen" through any means necessary. This article focuses on pragmatic casual information visualization (PCIV)—that is, systems for data analysis and exploration in which users are not guided by formal task descriptions or financial incentives. This subarea is easier to examine using empirical evaluation. To explore PCIV's balance between fun and functionality, however, requires new or less common empirical methods. After all, how important is task efficiency if people are using the system to procrastinate? PCIV has clear research commonalities with traditional InfoVis, but performance metrics alone do not adequately address research questions in this new context. Several suggestions provide an initial step in defining and refining PCIV research approaches.
information visualization, casual InfoVis, empirical evaluation, qualitative methods, quantitative design
D. W. Sprague and M. Tory, "Motivation and Procrastination: Methods for Evaluating Pragmatic Casual Information Visualizations," in IEEE Computer Graphics and Applications, vol. 29, no. , pp. 86-91, 2009.