Huang Yu-Wen, Yang Yu-Ju, Jeng Wei
National Taiwan University Taiwan.
Carnegie Mellon University USA.
Proc Assoc Inf Sci Technol. 2022;59(1):121-131. doi: 10.1002/pra2.610. Epub 2022 Oct 14.
This study utilized a two-phase user experiment to explore people's perceptual and cognitive states interacting with the COVID-19 dashboard to obtain outbreak information. Specifically, 27 participants were assigned to interact with this dashboard with different color arrangements and performed image-memory, search, and browse visualization tasks sequentially. We found that the participants expected to obtain both global pandemic trends and single region/date statuses from the dashboard to help them grasp important information in the shortest possible time. They also allocated their attention differently to the dashboard's content areas to match their individual visual movement and reading logics. Our participants indicated that the pandemic data visualization dashboard should use a principal-color selection that is alarming but without causing panic. In the study's second phase, an eye-tracking experiment, it was found that the participants' actual eye paths deviated from our expectations: clustering around headings and text, rather than on visualized charts or graphs as anticipated. Based on these findings, we provide design implications for builders of future data-visualization and disaster dashboards.
本研究采用两阶段用户实验，以探究人们在与新冠疫情仪表板交互获取疫情信息时的感知和认知状态。具体而言，27名参与者被分配去与具有不同颜色布局的该仪表板进行交互，并依次执行图像记忆、搜索和浏览可视化任务。我们发现，参与者期望从仪表板中获取全球疫情趋势和单个地区/日期的状态，以帮助他们在尽可能短的时间内掌握重要信息。他们还会根据个人的视觉移动和阅读逻辑，对仪表板的内容区域分配不同的注意力。我们的参与者表示，疫情数据可视化仪表板应采用一种既醒目又不会引起恐慌的主色调选择。在研究的第二阶段，即眼动追踪实验中，发现参与者的实际眼动路径与我们的预期有所偏差：集中在标题和文本周围，而不是如预期那样集中在可视化图表上。基于这些发现，我们为未来数据可视化和灾难仪表板的构建者提供了设计建议。
