A Lens to Pandemic Stay at Home Attitudes
August 23, 2023 Β· Declared Dead Β· π 2023 IEEE VIS Workshop on Visualization for Pandemic and Emergency Responses (Vis4PandEmRes)
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Authors
Andrew Wentzel, Lauren Levine, Vipul Dhariwal, Zahra Fatemi, Barbara Di Eugenio, Andrew Rojecki, Elena Zheleva, G. Elisabeta Marai
arXiv ID
2308.13552
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.CY
Citations
0
Venue
2023 IEEE VIS Workshop on Visualization for Pandemic and Emergency Responses (Vis4PandEmRes)
Last Checked
5 months ago
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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