Abstract
Unseen information can lead to various “threats to validity” when analyzing complex datasets using visual tools, resulting in potentially biased findings. We enumerate sources of unseen information and argue that a new focus on contextual visualization methods is needed to inform users of these threats and to mitigate their effects.
Type
Publication
IEEE Computer Graphics and Applications ( Volume: 38, Issue: 6, 01 Nov.-Dec. 2018)
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Wenyuan Wang
PhD student in Human Computer Interaction
My research interests include human factors on information behaviors, specifically, I’m looking for individual differences on stopping behaviors and the reason behind information satiety.