The dark is more (Dark+) bias in colormap data visualizations with legends
@article{Silverman2016TheDI, title={The dark is more (Dark+) bias in colormap data visualizations with legends}, author={Allison T. Silverman and Connor Gramazio and Karen B. Schloss}, journal={Journal of Vision}, year={2016}, volume={16}, pages={628-628} }
7 Citations
Effective Uncertainty Visualization for Aftershock Forecast Maps
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A pre-registered online experiment is presented to test the effectiveness of three UV techniques for displaying aftershock forecasts and concludes that the UV with lower and upper bounds is significantly better than the other UVs at communicating potential surprises.
Rainbow Dash: Intuitiveness, Interpretability and Memorability of the Rainbow Color Scheme in Visualization
- EducationIEEE Transactions on Visualization and Computer Graphics
- 2022
It is found that there is little to no agreement in ordering of rainbow colors while sequential colors are indeed intuitively ordered by the participants with a strong dark is more bias, and contributes to dark- vs. light isMore bias debate.
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In the age of big data, we are constantly inventing new data visualizations to consolidate massive amounts of numerical information into smaller and more digestible visual formats. These data…
Synergy between research on ensemble perception, data visualization, and statistics education: A tutorial review
- ArtAttention, perception & psychophysics
- 2021
This tutorial review will provide a broad overview of research conducted in ensemble perception, discuss how principles of ensemble encoding have been applied to the research in data visualization, and showcase the barriers graphs can pose to learning statistical concepts, using histograms as a specific example.
Spatiotemporal mapping of evacuee response
- Environmental ScienceFire and Materials
- 2020
The analysis of evacuee behaviour and performance requires data on human behaviour from actual fire incidents. Unfortunately, such data is rarely collected and, if available, is often provided in…
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- 2018
This work presents a series of crowdsourced studies measuring color difference perceptions for three common mark types: points, bars, and lines, indicating that peoples' abilities to perceive color differences varies significantly across mark types.