Literature DB >> 18469212

Visualizing seismic risk and uncertainty: a review of related research.

Ann Bostrom1, Luc Anselin, Jeremy Farris.   

Abstract

Government agencies and other authorities often communicate earthquake risks using maps derived from geographic information systems. Yet, little is known about the effects of these maps on risk perceptions. While mental models research and other approaches are available to inform risk communication text design, similar empirically derived guidance is lacking for visual risk communications, such as maps, which are likely to trump text in their impact and appeal. This paper reviews the empirical research that might inform such guidance. Research on graphs, spatial and visual perception, and map design suggests that graphics increase risk avoidance over numerical risk representations, and countable visuals, like dots, can increase the accuracy of perceived risks, but not always. Cartographic design features, such as color, animation, interactivity, and depth cues, are all candidates to represent risk and uncertainty and to influence risk perception. While there are robust known effects of color (e.g., red = danger), with some cultural variability, animation can increase the salience of otherwise obscure features but is not uniformly effective. Depth cues, dimensionality, and the extent to which a representation depicts versus symbolizes a scene will influence the viewer's perspective and perception, depending on the viewer's familiarity with the scene; their effects on risk perception remain unclear. The translation and representation of technical information about risk and uncertainty is critical to risk communication effectiveness. Our review suggests a handful of candidate criteria for evaluating the effects of risk visualizations, short of changes in behavior: accuracy, accessibility, retention, and perceived risk and usefulness.

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Year:  2008        PMID: 18469212     DOI: 10.1196/annals.1399.005

Source DB:  PubMed          Journal:  Ann N Y Acad Sci        ISSN: 0077-8923            Impact factor:   5.691


  10 in total

1.  Communication of uncertainty regarding individualized cancer risk estimates: effects and influential factors.

Authors:  Paul K J Han; William M P Klein; Tom Lehman; Bill Killam; Holly Massett; Andrew N Freedman
Journal:  Med Decis Making       Date:  2010-07-29       Impact factor: 2.583

2.  Evaluating the effectiveness and efficiency of risk communication for maps depicting the hazard of COVID-19.

Authors:  Hao Fang; Shiwei Xin; Huishan Pang; Fan Xu; Yuhui Gui; Yan Sun; Nai Yang
Journal:  Trans GIS       Date:  2021-08-05

3.  The influence of environmental hazard maps on risk beliefs, emotion, and health-related behavioral intentions.

Authors:  Dolores J Severtson
Journal:  Res Nurs Health       Date:  2013-03-26       Impact factor: 2.228

4.  The effect of graphics on environmental health risk beliefs, emotions, behavioral intentions, and recall.

Authors:  Dolores J Severtson; Jeffrey B Henriques
Journal:  Risk Anal       Date:  2009-11       Impact factor: 4.000

5.  The influence of uncertain map features on risk beliefs and perceived ambiguity for maps of modeled cancer risk from air pollution.

Authors:  Dolores J Severtson; Jeffrey D Myers
Journal:  Risk Anal       Date:  2012-09-17       Impact factor: 4.000

6.  Testing Map Features Designed to Convey the Uncertainty of Cancer Risk: Insights Gained From Assessing Judgments of Information Adequacy and Communication Goals.

Authors:  Dolores J Severtson
Journal:  Sci Commun       Date:  2015-02

7.  Tailoring the visual communication of climate projections for local adaptation practitioners in Germany and the UK.

Authors:  Susanne Lorenz; Suraje Dessai; Piers M Forster; Jouni Paavola
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2015-11-28       Impact factor: 4.226

8.  Robustness of individual and marginal model-based estimates: A sensitivity analysis of flexible parametric models.

Authors:  Elisavet Syriopoulou; Sarwar I Mozumder; Mark J Rutherford; Paul C Lambert
Journal:  Cancer Epidemiol       Date:  2018-11-12       Impact factor: 2.984

9.  A comparative analysis on risk communication between international and Chinese literature from the perspective of knowledge domain visualization.

Authors:  Huiling Dong; Qunhong Wu; Yue Pang; Bingyi Wu
Journal:  Environ Health Prev Med       Date:  2021-05-28       Impact factor: 3.674

10.  Developing citizen report cards for primary health care in low and middle-income countries: Results from cognitive interviews in rural Tajikistan.

Authors:  Sebastian Bauhoff; Lila Rabinovich; Lauren A Mayer
Journal:  PLoS One       Date:  2017-10-24       Impact factor: 3.240

  10 in total

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