A Lens to Pandemic Stay at Home Attitudes
Andrew Wentzel, Lauren Levine, Vipul Dhariwal, Zahra Fatemi, Barbara, Di Eugenio, Andrew Rojecki, Elena Zheleva, G.Elisabeta Marai

TL;DR
This paper details the design process and challenges faced during a rapid, multidisciplinary project analyzing stay-at-home attitudes and social media moral framing amid the pandemic, highlighting lessons learned.
Contribution
It provides insights into designing data-driven visualizations under tight deadlines, evolving datasets, and complex requirements in a pandemic context.
Findings
Identified key challenges in rapid visualization design during a pandemic.
Documented lessons learned for future fast-paced data visualization projects.
Highlighted the importance of flexible design processes in dynamic data environments.
Abstract
We describe the design process and the challenges we met during a rapid multi-disciplinary pandemic project related to stay-at-home orders and social media moral frames. Unlike our typical design experience, we had to handle a steeper learning curve, emerging and continually changing datasets, as well as under-specified design requirements, persistent low visual literacy, and an extremely fast turnaround for new data ingestion, prototyping, testing and deployment. We describe the lessons learned through this experience.
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Taxonomy
TopicsDigital Mental Health Interventions · Misinformation and Its Impacts · Innovative Human-Technology Interaction
