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Expert relevance and the use of context-driven heuristic processes in risk perception

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  • Piers Fleming
  • Ellen Townsend
  • Joost A. van Hilten
  • Alexa Spence
  • Eamonn Ferguson

Abstract

The effectiveness of a medical treatment should not predict its risk (highly effective treatments can be either safe or risky), however, people's use of heuristic shortcuts may lead them to judge a link between effectiveness and risk, typically a negative correlation. A particular concern is that experts might use such a strategy and that this is unlikely to provide an accurate judgement. This large-scale field-based experiment compares expert-relevant and non-expert-relevant contexts, for both expert and public judgements of risk and effectiveness in the context of blood transfusion medicine. Postal questionnaires were distributed to anaesthetists (experts, N = 123) and a general public (non-expert) comparison group ( N = 1153); half of the participants were cued with accompanying general information about genetically-modified (GM) biotechnology and half received specific information about blood product technologies. The blood-focussed information served to emphasise the medical relevance of the questionnaire to the expert group. Regression analyses showed that generally perceived effectiveness predicted perceived risk for both experts and non-experts, which suggests heuristic processing. However, although experts appeared to engage in heuristic processing for risk perceptions in certain circumstances, this processing is strongly affected by context. Experts who received the medically relevant context rated perceptions of effectiveness independently of perceptions of risk, unlike those who received the GM context. This indicates a reduced reliance on a low-effort heuristic for experts given an expertise-relevant context. The results are considered in light of dual-process (rational-associative) accounts of reasoning.

Suggested Citation

  • Piers Fleming & Ellen Townsend & Joost A. van Hilten & Alexa Spence & Eamonn Ferguson, 2012. "Expert relevance and the use of context-driven heuristic processes in risk perception," Journal of Risk Research, Taylor & Francis Journals, vol. 15(7), pages 857-873, August.
  • Handle: RePEc:taf:jriskr:v:15:y:2012:i:7:p:857-873
    DOI: 10.1080/13669877.2012.666759
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    References listed on IDEAS

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    1. Rachel Barrett & Nancy Heddle & Haresh Kirpalani & Ronald G. Moore & Emmy Arnold & Prakesh S. Shah & Anthony Staines, 2011. "'Someone else's blood': directed blood donation for neonatal transfusion and parental perceptions of risk," Journal of Risk Research, Taylor & Francis Journals, vol. 14(7), pages 837-845, August.
    2. George Wright & Fergus Bolger & Gene Rowe, 2002. "An Empirical Test of the Relative Validity of Expert and Lay Judgments of Risk," Risk Analysis, John Wiley & Sons, vol. 22(6), pages 1107-1122, December.
    3. Lucia Savadori & Stefania Savio & Eraldo Nicotra & Rino Rumiati & Melissa Finucane & Paul Slovic, 2004. "Expert and Public Perception of Risk from Biotechnology," Risk Analysis, John Wiley & Sons, vol. 24(5), pages 1289-1299, October.
    4. Gächter, Simon & Orzen, Henrik & Renner, Elke & Starmer, Chris, 2009. "Are experimental economists prone to framing effects? A natural field experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 70(3), pages 443-446, June.
    5. Michael Siegrist & Carmen Keller & Hans Kastenholz & Silvia Frey & Arnim Wiek, 2007. "Laypeople's and Experts' Perception of Nanotechnology Hazards," Risk Analysis, John Wiley & Sons, vol. 27(1), pages 59-69, February.
    6. Michael Siegrist & Heinz Gutscher, 2006. "Flooding Risks: A Comparison of Lay People's Perceptions and Expert's Assessments in Switzerland," Risk Analysis, John Wiley & Sons, vol. 26(4), pages 971-979, August.
    7. Marie-Eve Cousin & Michael Siegrist, 2010. "Risk perception of mobile communication: a mental models approach," Journal of Risk Research, Taylor & Francis Journals, vol. 13(5), pages 599-620, July.
    8. Kit S. Hagemann & Joachim Scholderer, 2009. "Hot Potato: Expert‐Consumer Differences in the Perception of a Second‐Generation Novel Food," Risk Analysis, John Wiley & Sons, vol. 29(7), pages 1041-1055, July.
    9. Gene Rowe & George Wright, 2001. "Differences in Expert and Lay Judgments of Risk: Myth or Reality?," Risk Analysis, John Wiley & Sons, vol. 21(2), pages 341-356, April.
    10. Lynn J Frewer & Chaya Howard & Richard Shepherd, 1998. "Understanding public attitudes to technology," Journal of Risk Research, Taylor & Francis Journals, vol. 1(3), pages 221-235, July.
    11. Slovic, Paul & Finucane, Melissa L. & Peters, Ellen & MacGregor, Donald G., 2007. "The affect heuristic," European Journal of Operational Research, Elsevier, vol. 177(3), pages 1333-1352, March.
    12. Ali Siddiq Alhakami & Paul Slovic, 1994. "A Psychological Study of the Inverse Relationship Between Perceived Risk and Perceived Benefit," Risk Analysis, John Wiley & Sons, vol. 14(6), pages 1085-1096, December.
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