Monday, April 12
11:30 AM - 1:00 PM
Crowdsourcing Graphical Perception: Using Mechanical Turk to Assess Visualization Design
Jeffrey Heer, Stanford University, USA
Michael Bostock, Stanford University, USA
Describes a series of experiments investigating the use of Mechanical Turk to conduct visual perception research. Contributes new insights for both visualization design and crowdsourced user studies.
ManyNets: An Interface for Multiple Network Analysis and Visualization
Manuel Freire Morán, Universidad Autónoma de Madrid, Spain
Catherine Plaisant, University of Maryland, USA
Ben Shneiderman, University of Maryland, USA
Jen Golbeck, University of Maryland, USA
ManyNets allows analysts to visualize, rank, and filter thousands of networks. A tabular visualization enhanced with column summaries displays default and user-defined attributes. Trust network analysis is used as example.
A Comparative Evaluation on Tree Visualization Methods for Hierarchical Structures with Large Fan-outs
Hyunjoo Song, Seoul National University, Korea
Bohyung Kim, Seoul National University, USA
Bongshin Lee, Microsoft Research, USA
Jinwook Seo, Seoul National University, Korea
This paper presents two extensions to the conventional node-link tree visualization. We compared them against the conventional tree visualization to see the advantages of the multi-column interface.
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