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From Asymptomatics to Zombies: Visualization-Based Education of Disease Modeling for Children

Graham Mcneill Orcid Logo, Max Sondag Sondag, Stewart Powell, Phoebe Asplin Orcid Logo, Cagatay Turkay Orcid Logo, Faron Moller Orcid Logo, Daniel Archambault Orcid Logo

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

Swansea University Authors: Max Sondag Sondag, Stewart Powell, Faron Moller Orcid Logo, Daniel Archambault Orcid Logo

DOI (Published version): 10.1145/3544548.3581573

Abstract

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 throu...

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Published in: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
ISBN: 978-1-4503-9421-5/23/04
Published: New York, NY, USA ACM 2023
Online Access: http://dx.doi.org/10.1145/3544548.3581573
URI: https://cronfa.swan.ac.uk/Record/cronfa62706
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spelling v2 62706 2023-02-21 From Asymptomatics to Zombies: Visualization-Based Education of Disease Modeling for Children cddcb8ff6471133067229223edabfe98 Max Sondag Sondag Max Sondag Sondag true false 65070af98811fb701f17078102c4e7ac Stewart Powell Stewart Powell true false bf25e0b52fe7c11c473cc48d306073f7 0000-0001-9535-8053 Faron Moller Faron Moller true false 8fa6987716a22304ef04d3c3d50ef266 0000-0003-4978-8479 Daniel Archambault Daniel Archambault true false 2023-02-21 SCS 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. Conference Paper/Proceeding/Abstract Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems ACM New York, NY, USA 978-1-4503-9421-5/23/04 Disease spread, Visualization, Children, Teaching 19 4 2023 2023-04-19 10.1145/3544548.3581573 http://dx.doi.org/10.1145/3544548.3581573 COLLEGE NANME Computer Science COLLEGE CODE SCS Swansea University Another institution paid the OA fee This work was funded by the UKRI EPSRC Grants EP/V033670/1 and EP/V054236/1. 2023-06-01T16:08:11.8652704 2023-02-21T12:22:00.4484213 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Graham Mcneill 0000-0002-9791-0099 1 Max Sondag Sondag 2 Stewart Powell 3 Phoebe Asplin 0000-0001-6430-2831 4 Cagatay Turkay 0000-0001-6788-251x 5 Faron Moller 0000-0001-9535-8053 6 Daniel Archambault 0000-0003-4978-8479 7 62706__26737__fd76c1a09fb04d618e3805f123c9a6ca.pdf fromAtoZmod.pdf 2023-03-06T09:10:54.1857699 Output 1953892 application/pdf Accepted Manuscript true 2023-04-23T00:00:00.0000000 Embargo until conference starts false 168
title From Asymptomatics to Zombies: Visualization-Based Education of Disease Modeling for Children
spellingShingle From Asymptomatics to Zombies: Visualization-Based Education of Disease Modeling for Children
Max Sondag Sondag
Stewart Powell
Faron Moller
Daniel Archambault
title_short From Asymptomatics to Zombies: Visualization-Based Education of Disease Modeling for Children
title_full From Asymptomatics to Zombies: Visualization-Based Education of Disease Modeling for Children
title_fullStr From Asymptomatics to Zombies: Visualization-Based Education of Disease Modeling for Children
title_full_unstemmed From Asymptomatics to Zombies: Visualization-Based Education of Disease Modeling for Children
title_sort From Asymptomatics to Zombies: Visualization-Based Education of Disease Modeling for Children
author_id_str_mv cddcb8ff6471133067229223edabfe98
65070af98811fb701f17078102c4e7ac
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author_id_fullname_str_mv cddcb8ff6471133067229223edabfe98_***_Max Sondag Sondag
65070af98811fb701f17078102c4e7ac_***_Stewart Powell
bf25e0b52fe7c11c473cc48d306073f7_***_Faron Moller
8fa6987716a22304ef04d3c3d50ef266_***_Daniel Archambault
author Max Sondag Sondag
Stewart Powell
Faron Moller
Daniel Archambault
author2 Graham Mcneill
Max Sondag Sondag
Stewart Powell
Phoebe Asplin
Cagatay Turkay
Faron Moller
Daniel Archambault
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publishDate 2023
institution Swansea University
isbn 978-1-4503-9421-5/23/04
doi_str_mv 10.1145/3544548.3581573
publisher ACM
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description 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.
published_date 2023-04-19T16:08:10Z
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