The field of visualization is a young one; there are many areas to explore and questions to ask.
How Designers design with Data
Tools like Illustrator are fantastic for quickly iterating on designs, but have limited ability to link to data. We studied how designers work with data, and created a tool to support them.
Bigelow, A., Drucker, S. M., Fisher, D., & Meyer, M. D. (2017). Iterating between Tools to Create and Edit Visualizations. IEEE Transactions on Visualization and Computer Graphics.
- Bigelow, A., Drucker, S. M., Fisher, D., & Meyer, M. D. Reflections on how designers design with data. In AVI 2014.
Animation is either the greatest thing to happen to data in history, or a terrible idea. Opinions are divided. I threw my hat into the ring and tried to figure out what I could learn.
D. Fisher. “Animation for Visualization: Opportunities and Drawbacks.” In J. Steele and N. Illisnki, eds. Beautiful Visualization. Sebastopol: OReilly Press, 2010.
- Robertson, G. G., Fernandez, R., Fisher, D., Lee, B., & Stasko, J. T. (2008). Effectiveness of Animation in Trend Visualization. IEEE Transactions on Visualization and Computer Graphics, 14(6), 1325–1332.
Two heads are better then one, surely. How does visualization become more useful when more than one person is looking at a dataset at the same time, on the same surface? Cambiera was an attempt to explore that question.
Isenberg, P., Fisher, D., Morris, M. R., Inkpen, K., & Czerwinski, M. (2010). An exploratory study of co-located collaborative visual analytics around a tabletop display. In IEEE VAST 2010.
Isenberg, P., & Fisher, D. (2011). Cambiera: collaborative tabletop visual analytics. In ACM CSCW 2011.
Isenberg, P., Fisher, D., Paul, S. A., Morris, M. R., Inkpen, K., & Czerwinski, M. (2012). Co-Located Collaborative Visual Analytics around a Tabletop Display. In IEEE Transactions on Visualization and Computer Graphics.
Sequences and Streams
Data analysts looking at clickstreams often want to ask about how a sequence of events happened. The (s|q)ueries and Logan systems tried to provide tools for phrasing these questions.
- Fisher, D., Drucker, S., Czerwinski, M. DeLine, R., Rowan, K. Understanding the Breadth of the Event Space: Learning from Logan. IEEE Vis EventEvent.
- Zgraggen, E., Drucker, S. M., Fisher, D., & DeLine, R. (2015). (s|qu)eries: Visual Regular Expressions for Querying and Exploring Event Sequences. In ACM CHI 2015.
This paved the way for Office Agaves and PowerBI's Custom Visuals.
- Fisher, D., Drucker, S. M., Fernandez, R., & Ruble, S. (2010). Visualizations Everywhere: A Multiplatform Infrastructure for Linked Visualizations. IEEE Transactions on Visualization and Computer Graphics.