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Comparative eye-tracking evaluation of scatterplots and parallel coordinates

Visual Informatics 2017年第2期1卷 118-131页

作者： Rudolf Netzel Jenny Vuong Ulrich Engelke Seán O’Donoghue Daniel Weiskopf Julian Heinrich Visualization Research Center(VISUS) University of StuttgartStuttgartGermany Commonwealth Scientific and Industrial Research Organisation(CSIRO)(Sydney Hobart)Australia University of Tübingen TübingenGermany

We investigate task performance and reading characteristics for scatterplots(Cartesian coordinates)and parallel *** a controlled eye-tracking study,we asked 24 participants to assess the relative distance of points in multidimensional space,depending on the diagram type(parallel coordinates or a horizontal collection of scatterplots),the number of data dimensions(2,4,6,or 8),and the relative distance between points(15%,20%,or 25%).For a given reference point and two target points,we instructed participants to choose the target point that was closer to the reference point in multidimensional *** present a visual scanning model that describes different strategies to solve this retrieval task for both diagram types,and propose corresponding hypotheses that we test using task completion time,accuracy,and gaze positions as dependent *** results show that scatterplots outperform parallel coordinates significantly in 2 dimensions,however,the task was solved more quickly and more accurately with parallel coordinates in 8 *** eye-tracking data further shows significant differences between Cartesian and parallel coordinates,as well as between different numbers of *** parallel coordinates,there is a clear trend toward shorter fixations and longer saccades with increasing number of *** an area-of-interest(AOI)based approach,we identify different reading strategies for each diagram type:For parallel coordinates,the participants’gaze frequently jumped back and forth between pairs of axes,while axes were rarely focused on when viewing Cartesian *** further found that participants’attention is biased:toward the center of the whole plot for parallel coordinates and skewed to the center/left side for Cartesian *** anticipate that these results may support the design of more effective visualizations for multidimensional data.

关键词： Parallel coordinates scatterplots Cartesian coordinates Eye tracking Controlled laboratory user study

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Evaluation on interactive visualization data with scatterplots

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Visual Informatics 2020年第4期4卷 1-10页

作者： Quang Vinh Nguyen Natalie Miller David Arness Weidong Huang Mao Lin Huang Simeon Simoff MARCS Institute Western Sydney UniversityAustralia School of Computer Data and Mathematical SciencesWestern Sydney UniversityAustralia School of Psychology Western Sydney UniversityAustralia Faculty of Transdisciplinary Innovation University of TechnologySydneyAustralia School of Software Faculty of Engineering&ITUniversity of TechnologySydneyAustralia

scatterplots and scatterplot matrix methods have been popularly used for showing statistical graphics and for exposing patterns in multivariate data.A recent technique,called Linkable scatterplots,provides an interesting idea for interactive visual exploration which provides a set of necessary plot panels on demand together with interaction,linking and *** article presents a controlled study with a mixed-model design to evaluate the effectiveness and user experience on the visual exploration when using a Sequential-scatterplots who a single plot is shown at a time,Multiple-scatterplots who number of plots can be specified and shown,and Simultaneous-scatterplots who all plots are shown as a scatterplot *** from the study demonstrated higher accuracy using the Multiple-scatterplots visualization,particularly in comparison with the *** the time taken to complete tasks was longer in the Multiple-scatterplots technique,compared with the simpler Sequential-scatterplots,Multiple-scatterplots is inherently more ***,the Multiple-scatterplots technique is the most highly preferred and positively experienced technique in this ***,results support the strength of Multiple-scatterplots and highlight its potential as an effective data visualization technique for exploring multivariate data.

关键词： Multivariate data visualization Multidimensional data visualization scatterplots Scatterplot matrix Controlled study

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