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领域专家对颜色操纵的易感性表明,数据可视化需要设计原则。

Susceptibility of domain experts to color manipulation indicate a need for design principles in data visualization.

机构信息

Institute of Biomedical Ethics and History of Medicine, University of Zurich, Zurich, Switzerland.

Digital Society Initiative, University of Zurich, Zurich, Switzerland.

出版信息

PLoS One. 2021 Feb 4;16(2):e0246479. doi: 10.1371/journal.pone.0246479. eCollection 2021.

Abstract

Color is key for the visual encoding of data, yet its use reportedly affects decision making in important ways. We examined the impact of various popular color schemes on experts' and lay peoples' map-based decisions in two, geography and neuroscience, scenarios, in an online visualization experiment. We found that changes in color mappings influence domain experts, especially neuroimaging experts, more in their decision-making than novices. Geographic visualization experts exhibited more trust in the unfavorable rainbow color scale than would have been predicted by their suitability ratings and their training, which renders them sensitive to scale appropriateness. Our empirical results make a strong call for increasing scientists' awareness for and training in perceptually salient and cognitively informed design principles in data visualization.

摘要

颜色是数据可视化编码的关键,但据报道,其使用会以重要的方式影响决策。我们在两个在线可视化实验中,研究了不同流行颜色方案对专家和非专业人士基于地图的决策的影响,这两个领域分别是地理和神经科学。我们发现,颜色映射的变化对专家,尤其是神经影像学专家的决策影响更大,而非新手。地理可视化专家对不利的彩虹色标表现出更高的信任度,这超过了他们的适用性评级和培训的预测,这使得他们对比例适当性敏感。我们的实证结果强烈呼吁提高科学家对数据可视化中感知显著和认知信息设计原则的认识和培训。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c134/7861358/6a41bb529c80/pone.0246479.g001.jpg

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