Risk heatmaps as visual displays: Opening movie studios after the COVID-19 shutdown.

COVID-19 heatmaps movie studios risk communication risk perception

Journal

Risk analysis : an official publication of the Society for Risk Analysis
ISSN: 1539-6924
Titre abrégé: Risk Anal
Pays: United States
ID NLM: 8109978

Informations de publication

Date de publication:
17 Sep 2022
Historique:
revised: 18 07 2022
received: 01 07 2021
accepted: 05 08 2022
entrez: 17 9 2022
pubmed: 18 9 2022
medline: 18 9 2022
Statut: aheadofprint

Résumé

Upon shutting down operations in early 2020 due to the COVID-19 pandemic, the movie industry assembled teams of experts to help develop guidelines for returning to operation. It resulted in a joint report, The Safe Way Forward, which was created in consultation with union members and provided the basis for negotiations with the studios. A centerpiece of the report was a set of heatmaps displaying SARS-CoV-2 risks for a shoot, as a function of testing rate, community infection prevalence, community transmission rate (R0), and risk measure (either expected number of cases or probability of at least one case). We develop and demonstrate a methodology for evaluating such complex displays, in terms of how well they inform potential users, in this case, workers deciding whether the risks of a shoot are acceptable. We ask whether individuals making hypothetical return-to-work decisions can (a) read display entries, (b) compare display entries, and (c) make inferences based on display entries. Generally speaking, respondents recruited through the Amazon MTurk platform could interpret the display information accurately and make coherent decisions, suggesting that heatmaps can communicate complex risks to lay audiences. Although these heatmaps were created for practical, rather than theoretical, purposes, these results provide partial support for theoretical accounts of visual information processing and identify challenges in applying them to complex settings.

Identifiants

pubmed: 36115696
doi: 10.1111/risa.14017
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Riksbankens Jubileumsfond
Organisme : Carnegie Mellon University Deans Scholarship
Organisme : National Science Foundation Graduate Research Fellowship Program
ID : DGE1745016

Informations de copyright

© 2022 The Authors. Risk Analysis published by Wiley Periodicals LLC on behalf of Society for Risk Analysis.

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Auteurs

Victor L Rodriguez (VL)

Department of Engineering and Public Policy, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.

Baruch Fischhoff (B)

Department of Engineering and Public Policy, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.
Institute for Politics and Strategy, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.

Alexander L Davis (AL)

Department of Engineering and Public Policy, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.

Classifications MeSH