visualization

A viewer's existing beliefs can prevent accurate reasoning with data visualizations. In particular, confirmation bias can cause people to overweigh information that confirms their beliefs, and dismiss information that disconfirms them. We tested whether confirmation bias exists when people reason with visualized data and whether certain visualization designs can elicit less biased reasoning strategies. We asked crowdworkers to solve reasoning problems that had the potential to evoke both poor reasoning strategies and confirmation bias.

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Raw data files for Exp 1 and Exp 2: My virtual self: the role of movement in children’s sense of embodiment

Hayley Dewe*, Janna M. Gottwald*, Laura-Ashleigh Bird, Harry Brenton, Marco Gillies, & Dorothy Cowie (2021)

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A collection of about 30K images that represents figures and tables from each track of the IEEE Visualization conference series (Vis, SciVis, InfoVis, VAST).

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The dataset contains the stress tensor field data used to test various glyph placement strategy in the upcoming paper, at time when this dataset was uploaded - “Visualization of 3D stress tensor fields using superquadric glyphs on displacement streamlines.” The tensor field generation procedure is described in the supplementary information of the paper. Here, we provide the actual stress tensor fields that were generated for the glyph placement comparison study.

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