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Does Iconicity in Pictographs Matter? The Influence of Iconicity and Numeracy on Information Processing, Decision Making, and Liking in an Eye‐Tracking Study

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  • Christina Kreuzmair
  • Michael Siegrist
  • Carmen Keller

Abstract

Researchers recommend the use of pictographs in medical risk communication to improve people's risk comprehension and decision making. However, it is not yet clear whether the iconicity used in pictographs to convey risk information influences individuals’ information processing and comprehension. In an eye‐tracking experiment with participants from the general population (N = 188), we examined whether specific types of pictograph icons influence the processing strategy viewers use to extract numerical information. In addition, we examined the effect of iconicity and numeracy on probability estimation, recall, and icon liking. This experiment used a 2 (iconicity: blocks vs. restroom icons) × 2 (scenario: medical vs. nonmedical) between‐subject design. Numeracy had a significant effect on information processing strategy, but we found no effect of iconicity or scenario. Results indicated that both icon types enabled high and low numerates to use their default way of processing and extracting the gist of the message from the pictorial risk communication format: high numerates counted icons, whereas low numerates used large‐area processing. There was no effect of iconicity in the probability estimation. However, people who saw restroom icons had a higher probability of correctly recalling the exact risk level. Iconicity had no effect on icon liking. Although the effects are small, our findings suggest that person‐like restroom icons in pictographs seem to have some advantages for risk communication. Specifically, in nonpersonalized prevention brochures, person‐like restroom icons may maintain reader motivation for processing the risk information.

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  • Christina Kreuzmair & Michael Siegrist & Carmen Keller, 2017. "Does Iconicity in Pictographs Matter? The Influence of Iconicity and Numeracy on Information Processing, Decision Making, and Liking in an Eye‐Tracking Study," Risk Analysis, John Wiley & Sons, vol. 37(3), pages 546-556, March.
    • Handle: RePEc:wly:riskan:v:37:y:2017:i:3:p:546-556
    DOI: 10.1111/risa.12623
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    1. repec:cup:judgdm:v:6:y:2011:i:3:p:263-274 is not listed on IDEAS
    2. Daniel A. Hamstra & Skyler B. Johnson & Stephanie Daignault & Brian J. Zikmund-Fisher & Jeremy M. G. Taylor & Knoll Larkin & Alexander Wood & Angela Fagerlin, 2015. "The Impact of Numeracy on Verbatim Knowledge of the Longitudinal Risk for Prostate Cancer Recurrence following Radiation Therapy," Medical Decision Making, , vol. 35(1), pages 27-36, January.
    3. Rocio Garcia-Retamero & Mirta Galesic & Gerd Gigerenzer, 2010. "Do Icon Arrays Help Reduce Denominator Neglect?," Medical Decision Making, , vol. 30(6), pages 672-684, November.
    4. repec:cup:judgdm:v:4:y:2009:i:5:p:335-354 is not listed on IDEAS
    5. Isaac M. Lipkus & Greg Samsa & Barbara K. Rimer, 2001. "General Performance on a Numeracy Scale among Highly Educated Samples," Medical Decision Making, , vol. 21(1), pages 37-44, February.
    6. Brian J. Zikmund-Fisher & Holly O. Witteman & Mark Dickson & Andrea Fuhrel-Forbis & Valerie C. Kahn & Nicole L. Exe & Melissa Valerio & Lisa G. Holtzman & Laura D. Scherer & Angela Fagerlin, 2014. "Blocks, Ovals, or People? Icon Type Affects Risk Perceptions and Recall of Pictographs," Medical Decision Making, , vol. 34(4), pages 443-453, May.
    7. Nina Horstmann & Andrea Ahlgrimm & Andreas Glöckner, 2009. "How Distinct are Intuition and Deliberation? An Eye-Tracking Analysis of Instruction-Induced Decision Modes," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2009_10, Max Planck Institute for Research on Collective Goods.
    8. Deb Feldman-Stewart & Michael D. Brundage & Vladimir Zotov, 2007. "Further Insight into the Perception of Quantitative Information: Judgments of Gist in Treatment Decisions," Medical Decision Making, , vol. 27(1), pages 34-43, January.
    9. Shane Frederick, 2005. "Cognitive Reflection and Decision Making," Journal of Economic Perspectives, American Economic Association, vol. 19(4), pages 25-42, Fall.
    10. Angela Fagerlin & Catharine Wang & Peter A. Ubel, 2005. "Reducing the Influence of Anecdotal Reasoning on People’s Health Care Decisions: Is a Picture Worth a Thousand Statistics?," Medical Decision Making, , vol. 25(4), pages 398-405, July.
    11. Garcia-Retamero, Rocio & Galesic, Mirta, 2010. "Who proficts from visual aids: Overcoming challenges in people's understanding of risks," Social Science & Medicine, Elsevier, vol. 70(7), pages 1019-1025, April.
    12. repec:cup:judgdm:v:9:y:2014:i:5:p:420-432 is not listed on IDEAS
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