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

by   Damla Çay, et al.

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.



There are no comments yet.


page 3


Mapping the Landscape of COVID-19 Crisis Visualizations

In response to COVID-19, a vast number of visualizations have been creat...

Viral Visualizations: How Coronavirus Skeptics Use Orthodox Data Practices to Promote Unorthodox Science Online

Controversial understandings of the coronavirus pandemic have turned dat...

Empirical Evaluation of User Experience Using Lean Product and Process Development: A Public Institution Case Study in Indonesia

The easiness, speed, accuracy, security are the four main indicators of ...

The Public Life of Data: Investigating Reactions to Visualizations on Reddit

This research investigates how people engage with data visualizations wh...

Local, Interactive, and Actionable: a Pandemic Behavioral Nudge

The informational environment surrounding the Covid-19 pandemic has been...

Task-Based Effectiveness of Interactive Contiguous Area Cartograms

Cartograms are map-based data visualizations in which the area of each m...

Model-based Task Analysis and Large-scale Video-based Remote Evaluation Methods for Extended Reality Research

In this paper, we introduce two remote extended reality (XR) research me...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.