Probability Information in Risk Communication: A Review of the Research Literature

By V. Visschers, Ree M. Meertens, W. Passchier, N. D. de Vries. 2009

373 citations recorded by the source corpus.

Subfields: Communication, General Decision Sciences, Sociology and Political Science

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In General Decision Sciences

1. David J. Spiegelhalter

In Sociology and Political Science

1. D. Demeritt
2. S. Nobert
3. David J. Spiegelhalter

Citations in the corpus

• Improving Robot Controller Transparency Through Autonomous Policy Explanation (2017, background): “Verbal statements have been shown in prior work to be a preferred mechanism for summarizing and conveying information related to control logic and decision making [44, 46].”
• Risk and Uncertainty Communication (2017, background): “…risk communication has largely concerned risks to individuals from medical interventions, their lifestyle or their genes: systematic reviews include Visschers et al. (2009) and Zipkin et al. (2014), who listed 91 studies including 74 randomized trials, using outcomes ranging from comprehension of…”
• The Impact of POMDP-Generated Explanations on Trust and Performance in Human-Robot Teams (2016, background): “However, such hand-crafted explanations do not scale to the sophisticated reasoning that robots currently perform to handle the uncertainty and conflicting goals within their task environments.”
• Models of best practice in flood risk communication and management (2014, background): “5 (Spiegelhalter, Pearson, and Short 2011; Visschers et al. 2009), these questions are much less researched for hydrometeorological hazards.”
• Guidance for representing uncertainty on global temperature change maps (2016, background): “Reviews of the literature have found that the use of graphics to communicate risk and uncertainty can be more attention grabbing than the use of text alone (Visschers et al., 2009) and that including uncertainty on maps may be helpful to decision makers (MacEachren et al.”