论文标题
测量空间可视化和域对可视化任务性能的影响：比较研究
Measuring Effects of Spatial Visualization and Domain on Visualization Task Performance: A Comparative Study
论文作者
论文摘要
了解您的受众是创建高影响可视化设计的基础。但是，个体差异和认知能力也会影响信息可视化的相互作用。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性能以及与视觉效果的互动。这项研究以当前特定于域的可视化和认知的研究为基础，以解决域和空间可视化能力是否相结合以影响信息可视化任务的性能。我们衡量拥有高等教育和商业，法律与政治科学和数学与计算机科学专业知识的人之间的空间可视化和视觉任务表现。我们使用既定的心理测试测试对90名参与者进行了在线研究，以评估空间可视化能力，并沿着笛卡尔和极性坐标旋转了条形图布局，以评估空间旋转数据的性能。准确性和响应时间随图表类型和任务难度的域而变化。我们发现准确性和时间与空间可视化水平相关，数学和计算机科学中的教育可以表明更高的空间可视化。此外，我们发现不同的动机会影响表现，因为更高的动机可能会导致准确性的提高。我们的发现表明，纪律不仅会影响用户需求以及与数据可视化的互动，还会影响认知性状。我们的结果可以推进可视化设计中的包容性实践，并增加特定于领域的视觉研究中的知识，这些研究可以使设计师在学科中增强设计师的能力，从而创建有效的可视化。
Understanding your audience is foundational to creating high impact visualization designs. However, individual differences and cognitive abilities also influence interactions with information visualization. Differing 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 distinct motivations can affect performance in that higher motivation 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.
