%0 Conference Paper %1 willett2011commentspace %A Willett, Wesley %A Heer, Jeffrey %A Hellerstein, Joseph %A Agrawala, Maneesh %B Proceedings of the SIGCHI Conference on Human Factors in Computing Systems %C New York, NY, USA %D 2011 %I Association for Computing Machinery %K analytics collaborative visual %P 3131–3140 %R 10.1145/1978942.1979407 %T CommentSpace: Structured Support for Collaborative Visual Analysis %U https://doi.org/10.1145/1978942.1979407 %X 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 pair 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 consistently and accurately classify evidence and establish common ground. We also find that managing and incentivizing participation is important for analysts to progress from exploratory analysis to deeper analytical tasks. Finally, we 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. %@ 9781450302289

@inproceedings{willett2011commentspace, 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 pair 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 consistently and accurately classify evidence and establish common ground. We also find that managing and incentivizing participation is important for analysts to progress from exploratory analysis to deeper analytical tasks. Finally, we 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.}, added-at = {2022-05-20T16:55:56.000+0200}, address = {New York, NY, USA}, author = {Willett, Wesley and Heer, Jeffrey and Hellerstein, Joseph and Agrawala, Maneesh}, biburl = {https://www.bibsonomy.org/bibtex/288a9706f0c2198d54d36e34df3d223a2/abernstetter}, booktitle = {Proceedings of the SIGCHI Conference on Human Factors in Computing Systems}, doi = {10.1145/1978942.1979407}, interhash = {411251b4add1560b26895c34b273aa9e}, intrahash = {88a9706f0c2198d54d36e34df3d223a2}, isbn = {9781450302289}, keywords = {analytics collaborative visual}, location = {Vancouver, BC, Canada}, numpages = {10}, pages = {3131–3140}, publisher = {Association for Computing Machinery}, series = {CHI '11}, timestamp = {2022-05-20T16:55:56.000+0200}, title = {CommentSpace: Structured Support for Collaborative Visual Analysis}, url = {https://doi.org/10.1145/1978942.1979407}, year = 2011 }