Supplementary Material for IEEE TvCg Article "The Impact of Uncertainty Representation and Semantic Color Congruence on Trusting and Reading Visualizations"
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https://ieee-dataport.org/documents/supplementary-material-ieee-tvcg-article-impact-uncertainty-representation-and-semantic
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This dataset includes the raw data and analyzed data for an IEEE TvCg article:Trust in visualization has emerged as a key research topic as visualizations increasingly permeate modern media and life. Empirical work indicates that the design of a visualization can influence trust, but it remains unclear how specific design factors affect trust. The two crowdsourced studies reported on in this paper explore how two common design factors—semantic color congruence and uncertainty representation—impact map trust and map reading. Our analysis suggests that participants’ trust and map reading were largely unaffected by changes in color congruence. However, participants who viewed maps repesenting uncertainty had significantly lower self-reported map trust, map reading accuracy, and map reading confidence than participants viewing maps without uncertainty representation. These results are consistent across stimuli that vary in scale, data pattern, and topic. Additionally, we found that perceived risk functions as a mediating variable for the relationship between uncertainty and map trust. These findings not only provide empirical evidence for previously proposed theoretical frameworks of trust in visualization, but also suggest preliminary design recommendations for using congruent colors and including uncertainty in maps.
提供机构:
IEEE DataPort
创建时间:
2024-09-10



