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Lookup NU author(s): Dr Daniel ArchambaultORCiD
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© 2023 Owner/Author. Throughout the COVID-19 pandemic, visualizations became commonplace in public communications to help people make sense of the world and the reasons behind government-imposed restrictions. Though the adult population were the main target of these messages, children were affected by restrictions through not being able to see friends and virtual schooling. However, through these daily models and visualizations, the pandemic response provided a way for children to understand what data scientists really do and provided new routes for engagement with STEM subjects. In this paper, we describe the development of an interactive and accessible visualization tool to be used in workshops for children to explain computational modeling of diseases, in particular COVID-19. We detail our design decisions based on approaches evidenced to be effective and engaging such as unplugged activities and interactivity. We share reflections and learnings from delivering these workshops to 140 children and assess their effectiveness.
Author(s): McNeill G, Sondag M, Powell S, Asplin P, Turkay C, Moller F, Archambault D
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
Year of Conference: 2023
Pages: Article no.: 839
Online publication date: 19/04/2023
Acceptance date: 02/04/2018
Publisher: ACM
URL: https://doi.org/10.1145/3544548.3581573
DOI: 10.1145/3544548.3581573
Library holdings: Search Newcastle University Library for this item
ISBN: 9781450394215