Designing for Social Data Analysis (2006)
| Venue: | IEEE Transactions on Visualization and Computer Graphics |
| Citations: | 20 - 1 self |
BibTeX
@ARTICLE{Wattenberg06designingfor,
author = {Martin Wattenberg and Jesse Kriss},
title = {Designing for Social Data Analysis},
journal = {IEEE Transactions on Visualization and Computer Graphics},
year = {2006},
volume = {12},
pages = {549--557}
}
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Abstract
Abstract—The NameVoyager, a Web-based visualization of historical trends in baby naming, has proven remarkably popular. We describe design decisions behind the application and lessons learned in creating an application that makes do-it-yourself data mining popular. The prime lesson, it is hypothesized, is that an information visualization tool may be fruitfully viewed not as a tool but as part of an online social environment. In other words, to design a successful exploratory data analysis tool, one good strategy is to create a system that enables “social ” data analysis. We end by discussing the design of an extension of the NameVoyager to a more complex data set, in which the principles of social data analysis played a guiding role. Index Terms—Design study, time-varying data visualization, human-computer interaction, social data analysis. 1
