ABSTRACT
Previous research has shown that faceted browsing is effective and enjoyable in searching and browsing large collections of data. In this work, we explore the efficacy of interactive visualization systems in supporting exploration and sensemaking within faceted datasets. To do this, we developed an interactive visualization system called FacetLens, which exposes trends and relationships within faceted datasets. FacetLens implements linear facets to enable users not only to identify trends but also to easily compare several trends simultaneously. Furthermore, it offers pivot operations to allow users to navigate the faceted dataset using relationships between items. We evaluate the utility of the system through a description of insights gained while experts used the system to explore the CHI publication repository as well as a database of funding grant data, and report a formative user study that identified usability issues.
Supplemental Material
- Ahlberg, C. Spotfire: an information exploration environment. ACM SIGMOD Record, 25, 4 (1996), 25--29. Google ScholarDigital Library
- Bungee View, http://cityscape.inf.cs.cmu.edu/bungeeGoogle Scholar
- Gapminder, http://www.gapminder.orgGoogle Scholar
- Havre, S., Elizabeth, H., Whitney, P., and Nowell, L. ThemeRiver: Visualizing thematic changes in large document collections. IEEE Trans. Visualization and Computer Graphics, 8, 1 (2002), 9--20. Google ScholarDigital Library
- Kang, H., Plaisant, C., Lee, B., and Bederson, B.B. NetLens: Iterative Exploration of Content-Actor Network Data. Information Visualization Special Issue on Visual Analytics, 6 (2007), 18--31. Google ScholarDigital Library
- Klein, G., Moon, B., and Hoffman, R.F. Making sense of sensemaking I: alternative perspectives. IEEE Intelligent Systems, 21, 4 (2006), 70--73. Google ScholarDigital Library
- Lee, B., Czerwinski, M., Robertson, G., and Bederson, B.B. Understanding research trends in conferences using PaperLens. Extended Abstracts CHI 2005, ACM Press (2005), 1969--1972. Google ScholarDigital Library
- Mackinlay, J., Hanrahan, P., and Stolte, C. Show Me: Automatic presentation for visual analysis. IEEE Trans. Visualization and Computer Graphics, 13, 6 (2007), 1137--1144. Google ScholarDigital Library
- Microsoft Office Excel, http://office.microsoft.com/enus/excelGoogle Scholar
- Ranganathan, R. Colon Classification: Basic Classification. Sarada Ranganathan Endowment for Library Science (1991).Google Scholar
- Robertson, G., Fernandez, R., Fisher, D., Lee, B., and Stasko, J. Effectiveness of animation in trend visualization, IEEE Trans. Visualization and Computer Graphics, 14, 6 (2008), 1325--1332. Google ScholarDigital Library
- Smith, G., Czerwinski, M., Meyers, B., Robbins, D., Robertson, G., and Tan, D. FacetMap: A scalable search and browse visualization. IEEE Trans. Visualization and Computer Graphics, 12, 5 (2006), 797--804. Google ScholarDigital Library
- Spenke, M. and Beilken, C. InfoZoom - Analysing formula one racing results with an interactive data mining and visualization tool. Proc. Data Mining 2000, (2000), 455--464.Google Scholar
- Stolte, C., Tang, D., and Hanrahan, P. Polaris: a system for query, analysis, and visualization of multidimensional relational databases. IEEE Trans. Visualization and Computer Graphics, 8, 1 (2002), 52--65. Google ScholarDigital Library
- Wattenberg, M. Baby names, visualization, and social data analysis. Proc. InfoVis 2005, IEEE (2005), 1--7. Google ScholarDigital Library
- Windows Presentation Foundation (WPF), http://windowsclient.netGoogle Scholar
- Wong, P.C., Hetzler, B., Posse, C., Whiting, M., Havre, S., Cramer, N., Shah, A., Singhal, M., Turner, A., and Thomas, J. IN-SPIRE InfoVis 2004 Contest Entry. Posters Compendium of InfoVis 2004. Google ScholarDigital Library
- Yee, P., Swearingen, K., Li, K., and Hearst, M. Faceted metadata for image search and browsing. Proc. CHI 2003, ACM Press (2003), 401--408. Google ScholarDigital Library
- Zhang, J. and Marchionini, G. Evaluation and evolution of a browse and search interface: Relation Browser++. Proc. Digital Government Research 2005, (2005), 179--188. Google ScholarDigital Library
Index Terms
- FacetLens: exposing trends and relationships to support sensemaking within faceted datasets
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