2D meets 3D: a human-centered interface for visual data exploration
CHI '07 Extended Abstracts on Human Factors in Computing Systems
Beyond time and error: a cognitive approach to the evaluation of graph drawings
Proceedings of the 2008 Workshop on BEyond time and errors: novel evaLuation methods for Information Visualization
Visual links across applications
Proceedings of Graphics Interface 2010
Dimensional congruence for interactive visual data mining and knowledge discovery
EUROVIS'07 Proceedings of the 9th Joint Eurographics / IEEE VGTC conference on Visualization
Establishing aesthetics based on human graph reading behavior: two eye tracking studies
Personal and Ubiquitous Computing
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Multiple-view visualizations are useful forfinding patterns in complex data sets, but littleresearch has been done on how they are used. Weperformed a controlled experiment to study cognitivestrategies and context switching by using combinationof visualizations and different task types asindependent variables, and collecting qualitative andquantitative data. To collect the data paper-basedtests, logging of participants' interactions, eyetracking,think-aloud techniques, and video recordingswere used. Unlike suggestions in literature, ourresults show that when considering dual-viewvisualizations the time cost for context switching maynot be significant, and similar visualizations mayactually cause more interference. Furthermore,orthogonal combinations appear to aid users inrecognizing patterns. Focusing attention andanalogical reasoning on spatial relationships areimportant cognitive abilities as well.