CommentSpace: Structured Support for Collaborative Visual Analysis
Abstract
Collaborative visual analysis tools can enhance sensemaking by facilitating social interpretation and parallelization of effort. These systems enable distributed exploration and evidence gathering, allowing many users to pool their effort as they discuss and analyze the data. We explore how adding lightweight tag and link structure to comments can aid this analysis process. We present CommentSpace, a collaborative system in which analysts comment on visualizations and websites and then use tags and links to organize findings and identify others' contributions. In a series of studies comparing CommentSpace to a system without support for tags and links, we find that a small, fixed vocabulary of tags (question, hypothesis, to-do) and links (evidence-for, evidence-against) helps analysts more reliably locate evidence and establish common ground. We also demonstrate that tags and links can help teams complete evidence gathering and synthesis tasks and that organizing comments using tags and links improves analytic results. Finally, we find that managing and incentivizing participation is important for analysts to progress from exploratory analysis to the organization and synthesis tasks where tags and links are most useful.
Citation
Wesley Willett, Jeffrey Heer, Joseph Hellerstein, and Maneesh Agrawala. "CommentSpace: Structured Support for Collaborative Visual Analysis". ACM Human Factors in Computing Systems (CHI), pages 3131–3140, 2011.
Supplemental Material
For further details, including videos and supplmental materials, please see the project page hosted on the Visualization Lab website at http://vis.berkeley.edu/papers/commentspace/.