Priming and Anchoring Effects in Visualization

We investigate priming and anchoring effects on perceptual tasks in visualization. Priming or anchoring effects depict the phenomena that a stimulus might influence subsequent human judgments on a perceptual level, or on a cognitive level by providing a frame of reference. Using visual class separab...

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Bibliographic Details
Published inIEEE transactions on visualization and computer graphics Vol. 24; no. 1; pp. 584 - 594
Main Authors Valdez, Andre Calero, Ziefle, Martina, Sedlmair, Michael
Format Journal Article
LanguageEnglish
Published United States IEEE 01.01.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Anchoring
Bias
Cognition
Correlation
Data models
Data visualization
Judgments
MTurk Study
Perception
Priming
Scatterplots
Uncertainty
Visual perception
Visualization
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Summary:We investigate priming and anchoring effects on perceptual tasks in visualization. Priming or anchoring effects depict the phenomena that a stimulus might influence subsequent human judgments on a perceptual level, or on a cognitive level by providing a frame of reference. Using visual class separability in scatterplots as an example task, we performed a set of five studies to investigate the potential existence of priming and anchoring effects. Our findings show that - under certain circumstances - such effects indeed exist. In other words, humans judge class separability of the same scatterplot differently depending on the scatterplot(s) they have seen before. These findings inform future work on better understanding and more accurately modeling human perception of visual patterns.
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ISSN:1077-2626
1941-0506
DOI:10.1109/TVCG.2017.2744138