Visualization Design Practices in a Crisis: Behind the Scenes with COVID-19 Dashboard Creators
Yixuan Zhang, Yifan Sun, Joseph D. Gaggiano, Neha Kumar, Clio Andris, Andrea G. Parker
Abstract
During the COVID-19 pandemic, a number of data visualizations were created to inform the public about the rapidly evolving crisis. Data dashboards, a form of information dissemination used during the pandemic, have facilitated this process by visualizing statistics regarding the number of COVID-19 cases over time. Prior work on COVID-19 visualizations has primarily focused on the design and evaluation of specific visualization systems from technology-centered perspectives. However, little is known about what occurs behind the scenes during the visualization creation processes, given the complex sociotechnical contexts in which they are embedded. Yet, such ecological knowledge is necessary to help characterize the nuances and trajectories of visualization design practices in the wild, as well as generate insights into how creators come to understand and approach visualization design on their own terms and for their own situated purposes. In this research, we conducted a qualitative interview study among dashboard creators from federal agencies, state health departments, mainstream news media outlets, and other organizations that created (often widely-used) COVID-19 dashboards to answer the following questions: how did visualization creators engage in COVID-19 dashboard design, and what tensions, conflicts, and challenges arose during this process? Our findings detail the trajectory of design practices-from creation to expansion, maintenance, and termination-that are shaped by the complex interplay between design goals, tools and technologies, labor, emerging crisis contexts, and public engagement. We particularly examined the tensions between designers and the general public involved in these processes. These conflicts, which often materialized due to a divergence between public demands and standing policies, centered around the type and amount of information to be visualized, how public perceptions shape and are shaped by visualization design, and the strategies utilized to deal with (potential) misinterpretations and misuse of visualizations. Our findings and lessons learned shed light on new ways of thinking in visualization design, focusing on the bundled activities that are invariably involved in human and nonhuman participation throughout the entire trajectory of design practice.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext 13beb712-66f7-422d-94ca-65147ff3f7a8Cited by top-tier papers11
- Misleading Beyond Visual Tricks: How People Actually Lie with ChartsMaxim Lisnic, Cole Polychronis, Alexander Lex, Marina KoganCHI 2023 · 54 citations
- What Do We Mean When We Talk about Trust in Social Media? A Systematic ReviewYixuan Zhang, Joseph D. Gaggiano, Nutchanon Yongsatianchot, Nurul M. Suhaimi et al.CHI 2023 · 26 citations
- Heuristics for Supporting Cooperative Dashboard DesignVidya Setlur, Michael Correll, Arvind Satyanarayan, Melanie ToryIEEE VIS 2023 · 23 citations
- Transitioning to a Commercial Dashboarding System: Socio-Technical Observations and OpportunitiesConny Walchshofer, Vaishali Dhanoa, Marc Streit, Miriah MeyerIEEE VIS 2023 · 15 citations
- Encountering Friction, Understanding Crises: How Do Digital Natives Make Sense of Crisis Maps?Laura Koesten, Antonia Saske, Sandra Maria Starchenko, Kathleen GregoryCHI 2025 · 7 citations
Builds on6
- Time for Historicism in CSCW: An InvitationRobert Soden, David Ribes, Seyram Avle, Will SutherlandCSCW 2021 · 77 citations
- Mapping the Landscape of COVID-19 Crisis VisualizationsYixuan Zhang, Yifan Sun, Lace M. K. Padilla, Sumit Barua et al.CHI 2021 · 74 citations
- Understanding Data Visualization Design PracticePaul ParsonsIEEE VIS 2021 · 53 citations
- Shifting Trust: Examining How Trust and Distrust Emerge, Transform, and Collapse in COVID-19 Information SeekingYixuan Zhang, Nurul Suhaimi, Nutchanon Yongsatianchot, Joseph D. Gaggiano et al.CHI 2022 · 41 citations
- Understanding the Use of Crisis Informatics Technology among Older AdultsYixuan Zhang, Nurul Suhaimi, Rana Azghandi, Mary Amulya Joseph et al.CHI 2020 · 23 citations
Related papers
- Viral Visualizations: How Coronavirus Skeptics Use Orthodox Data Practices to Promote Unorthodox Science OnlineCrystal Lee, Tanya Yang, Gabrielle D. Inchoco, Graham M. Jones et al.CHI 2021 · 140 citations
- "Yeah, this graph doesn't show that": Analysis of Online Engagement with Misleading Data VisualizationsMaxim Lisnic, Alexander Lex, Marina KoganCHI 2024 · 16 citations
- "Self-Quaranteens" Process COVID-19: Understanding Information Visualization Language in MemesLaura J. Perovich, Meryl Alper, Corey ClevelandCSCW 2022 · 5 citations
- Practitioners' Perspectives on Designing Data Visualizations for the General PublicRegina Schuster, Kathleen Gregory, Torsten Möller, Laura KoestenCHI 2026
- Visualization Guardrails: Designing Interventions Against Cherry-Picking in Interactive Data ExplorersMaxim Lisnic, Zach Cutler, Marina Kogan, Alexander LexCHI 2025 · 9 citations
