Measuring Effects of Spatial Visualization and Domain on Visualization Task Performance: A Comparative Study
Measuring Effects of Spatial Visualization and Domain on Visualization Task Performance: A Comparative Study
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DOI：
10.1109/tvcg.2022.3209491
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发表时间：
2022-09
影响因子：
5.2
通讯作者：
Sara Tandon;Alfie Abdul-Rahman;R. Borgo
中科院分区：
文献类型：
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作者：
Sara Tandon;Alfie Abdul-Rahman;R. Borgo
理解一个人的受众是创造高影响力可视化设计的基础。然而，个体差异和认知能力会影响与信息可视化的互动。不同的用户需求和能力表明，个人的背景可能会以系统的方式影响认知表现和与视觉的互动。本研究以领域特定视觉化与认知的研究为基础，探讨领域视觉化能力与空间视觉化能力的结合是否会影响信息视觉化任务的绩效。我们在商业、法律和政治学、数学和计算机科学领域受过高等教育和有专业背景的人之间测量空间可视化和视觉任务表现。我们对90名参与者进行了一项在线研究，使用已建立的心理测量学测试来评估空间可视化能力，并使用沿笛卡尔和极坐标旋转的条形图布局来评估空间旋转数据的性能。准确度和响应时间因图表类型和任务难度的不同而不同。我们发现准确度和时间与空间可视化水平相关，数学和计算机科学教育可以预示更高的空间可视化水平。此外，我们发现领域之间的动机差异可能有助于提高准确率。我们的发现表明，纪律不仅影响用户的需求和与数据可视化的交互，还影响认知特征。我们的结果可以促进可视化设计中的包容性实践，并增加特定领域的视觉研究方面的知识，从而使跨学科的设计师能够创建有效的可视化。
Understanding one's audience is foundational to creating high impact visualization designs. However, individual differences and cognitive abilities influence interactions with information visualization. Different user needs and abilities suggest that an individual's background could influence cognitive performance and interactions with visuals in a systematic way. This study builds on current research in domain-specific visualization and cognition to address if domain and spatial visualization ability combine to affect performance on information visualization tasks. We measure spatial visualization and visual task performance between those with tertiary education and professional profile in business, law & political science, and math & computer science. We conducted an online study with 90 participants using an established psychometric test to assess spatial visualization ability, and bar chart layouts rotated along Cartesian and polar coordinates to assess performance on spatially rotated data. Accuracy and response times varied with domain across chart types and task difficulty. We found that accuracy and time correlate with spatial visualization level, and education in math & computer science can indicate higher spatial visualization. Additionally, we found that motivational differences between domains could contribute to increased levels of accuracy. Our findings indicate discipline not only affects user needs and interactions with data visualization, but also cognitive traits. Our results can advance inclusive practices in visualization design and add to knowledge in domain-specific visual research that can empower designers across disciplines to create effective visualizations.