通过远程启发式访谈了解COVID-19地图用户体验

Damla Çay, T. Nagel, A. Yantaç
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引用次数: 10

摘要

在冠状病毒大流行期间,可视化在更广泛的受众中获得了新的普及和意义。从简单的图表到复杂的交互式仪表板,人们被一系列广泛的公共卫生可视化轰炸。在大流行背景下,世界上有大量人口在社交上保持距离,迫切需要完善现有的远程用户体验评估方法,以了解人们如何理解与COVID-19相关的可视化图像。在评估面向具有不同社会人口背景和不同技术水平和数据素养的普通大众的可视化时,重要的是要了解用户反馈,而不仅仅是速度、任务准确性或可用性问题。作为这一更广泛的评估视角的一部分,微观现象学已被用于评估静态和叙事可视化,以详细的方式揭示生活经验。在这些研究的基础上,我们进行了一项用户研究,以了解如何在远程环境中使用Elicitation(又名微观现象学)访谈。在一个案例研究中,我们调查了参与者对基于地图的交互式可视化的体验。我们的研究结果揭示了远程进行启发式访谈的积极和消极方面。我们的结果可以告知计划和执行远程启发访谈的过程,以评估交互式可视化。此外,我们还分享了关于公共卫生数据可视化技术和交互设计的建议。
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Understanding User Experience of COVID-19 Maps through Remote Elicitation Interviews
During the coronavirus pandemic, visualizations gained a new level of popularity and meaning for a wider audience. People were bombarded with a wide set of public health visualizations ranging from simple graphs to complex interactive dashboards. In a pandemic setting, where large amounts of the world population are socially distancing themselves, it becomes an urgent need to refine existing user experience evaluation methods for remote settings to understand how people make sense out of COVID-19 related visualizations. When evaluating visualizations aimed towards the general public with vastly different socio-demographic backgrounds and varying levels of technical savviness and data literacy, it is important to understand user feedback beyond aspects such as speed, task accuracy, or usability problems. As a part of this wider evaluation perspective, micro-phenomenology has been used to evaluate static and narrative visualizations to reveal the lived experience in a detailed way. Building upon these studies, we conducted a user study to understand how to employ Elicitation (aka Micro-phenomenological) interviews in remote settings. In a case study, we investigated what experiences the participants had with map-based interactive visualizations. Our findings reveal positive and negative aspects of conducting Elicitation interviews remotely. Our results can inform the process of planning and executing remote Elicitation interviews to evaluate interactive visualizations. In addition, we share recommendations regarding visualization techniques and interaction design about public health data.
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Extending Recommendations for Creative Visualization-Opportunities Workshops BELIV 2020 Committees [Title page iii] [Copyright notice] BELIV 2020 Preface
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