A Lie Reveals the Truth: Quasimodes for Task-Aligned Data Presentation

Uncertainty VisualizationVisualization Perception & CognitionUI/UX DesignersData Scientists & Analysts

Designers are often discouraged from creating data visualizations that omit or distort information, because they can easily be misleading. However, the same representations that could be used to deceive can provide benefits when chosen to appropriately align with user tasks. We present an interaction technique, Perceptual Glimpses, which allows for the transparent presentation of so-called 'deceptive' views of information that are made temporary using quasimodes. When presented using Perceptual Glimpses, message-level exaggeration caused by a truncated axis on a bar chart was reduced under some conditions, but users require guidance to avoid errors, and view presentation order may affect trust. When Perceptual Glimpses was extended to display a range of views that might otherwise be deceptive or difficult to understand if shown out of context, users were able to understand and leverage these transformations to perform a range of low-level tasks. Design recommendations and examples suggest extensions of the technique.

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https://hci.top/en/papers/chi/5116/2019

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fact_check
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Source
CHI
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Year
2019
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3 authors
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Subtopics
Uncertainty Visualization, Visualization Perception & Cognition
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UI/UX Designers, Data Scientists & Analysts
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Abstract only
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