Understanding User Experience of COVID-19 Maps through Remote Elicitation Interviews

Damla Cay, Till Nagel, Asim Evren Yantac
2020 2020 IEEE Workshop on Evaluation and Beyond - Methodological Approaches to Visualization (BELIV)  
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
more » ... 9 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. Index Terms: Human-centered computing-Visualization-Visualization design and evaluation methods 65 2020 IEEE Workshop on Evaluation and Beyond -Methodological Approaches to Visualization (BELIV) © IEEE 2021. This article is free to access and download, along with rights for full text and data mining, re-use and analysis.
doi:10.1109/beliv51497.2020.00015 fatcat:cd4n5zsnjzf5lbqyxmv4luae2m