Short paper presented at #eurovis2015 Cagliari, Sardinia, Italy.
Abstract:
Filtering data on a visualization can be a challenge when multiple people work on a shared visualization, for instance on an interactive tabletop. Visualizations can present data that satisfy the union of all user filters, or data lenses can provide individual views on parts of the data. To support per-user filters simultaneously across a shared visualization, we explore different glyph approaches that complement data points with per-user filter status information. Adding physical positions of users around the tabletop as an extra attribute to the glyph, we attempt to lower the cognitive load required to map filter statuses to corresponding participants. This work presents the design choices, briefly covers technical development, reports on the evaluation results and points out possibilities for future work.
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Tang, A., Tory, M., Po, B., Neumann, P., & Carpendale, S.
(2006, April). Collaborative coupling over tabletop
displays. In Proceedings of the SIGCHI conference on
Human Factors in computing systems (pp. 1181-1190).
ACM.
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*Surtola, H. (2005, July). The effect of data-
relatedness in interactive glyphs. In
Information Visualisation, 2005. Proceedings.
Ninth International Conference on (pp. 869-876).
IEEE.
Natural mapping*
Viewpoint independence
Principle of similarity
Fastest
v1 > v2
Perceived most useful
+