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High Numerates Count Icons and Low Numerates Process Large Areas in Pictographs: Results of an Eye‐Tracking Study

Author

Listed:
  • Christina Kreuzmair
  • Michael Siegrist
  • Carmen Keller

Abstract

In two experiments, we investigated the influence of numeracy on individuals’ information processing of pictographs depending on numeracy via an eye‐tracker. In two conditions, participants from the general population were presented with a scenario depicting the risk of having cancer and were asked to indicate their perceived risk. The risk level was high (63%) in experiment 1 (N = 70) and low (6%) in experiment 2 (N = 69). In the default condition, participants were free to use their default strategy for information processing. In the guiding‐toward‐the‐number condition, they were prompted to count icons in the pictograph by answering with an explicit number. We used eye‐tracking parameters related to the distance between sequential fixations to analyze participants’ strategies for processing numerical information. In the default condition, the higher the numeracy was, the shorter the distances traversed in the pictograph were, indicating that participants counted the icons. People lower in numeracy performed increased large‐area processing by comparing highlighted and nonhighlighted parts of the pictograph. In the guiding‐toward‐the‐number condition, participants used short distances regardless of their numeracy, supporting the notion that short distances represent counting. Despite the different default processing strategies, participants processed the pictograph with a similar depth and derived similar risk perceptions. The results show that pictographs are beneficial for communicating medical risk. Pictographs make the gist salient by making the part‐to‐whole relationship visually available, and they facilitate low numerates’ non‐numeric processing of numerical information. Contemporaneously, pictographs allow high numerates to numerically process and rely on the number depicted in the pictograph.

Suggested Citation

  • Christina Kreuzmair & Michael Siegrist & Carmen Keller, 2016. "High Numerates Count Icons and Low Numerates Process Large Areas in Pictographs: Results of an Eye‐Tracking Study," Risk Analysis, John Wiley & Sons, vol. 36(8), pages 1599-1614, August.
  • Handle: RePEc:wly:riskan:v:36:y:2016:i:8:p:1599-1614
    DOI: 10.1111/risa.12531
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    References listed on IDEAS

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    1. Valerie F. Reyna, 2008. "A Theory of Medical Decision Making and Health: Fuzzy Trace Theory," Medical Decision Making, , vol. 28(6), pages 850-865, November.
    2. 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.
    3. Valerie F. Reyna & Allan J. Hamilton, 2001. "The Importance of Memory in Informed Consent for Surgical Risk," Medical Decision Making, , vol. 21(2), pages 152-155, April.
    4. Michael Schulte-Mecklenbeck & Anton Kuhberger & Rob Ranyard, 2011. "The role of process data in the development and testing of process models of judgment and decision making," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 6(8), pages 733-739, December.
    5. Carmen Keller & Christina Kreuzmair & Rebecca Leins-Hess & Michael Siegrist, 2014. "Numeric and graphic risk information processing of high and low numerates in the intuitive and deliberative decision modes: An eye-tracker study," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 9(5), pages 420-432, September.
    6. Nina Horstmann & Andrea Ahlgrimm & Andreas Glöckner, 2009. "How distinct are intuition and deliberation? An eye-tracking analysis of instruction-induced decision modes," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 4(5), pages 335-354, August.
    7. 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.
    8. Valerie F. Reyna, 2012. "A new intuitionism: Meaning, memory, and development in Fuzzy-Trace Theory," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 7(3), pages 332-359, May.
    9. 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.
    10. Shane Frederick, 2005. "Cognitive Reflection and Decision Making," Journal of Economic Perspectives, American Economic Association, vol. 19(4), pages 25-42, Fall.
    11. Ellen Peters & Paul Slovic & Daniel Vastfjall & C. K. Mertz, 2008. "Intuitive numbers guide decisions," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 3(8), pages 619-635, December.
    12. Rebecca Hess & Vivianne H. M. Visschers & Michael Siegrist, 2011. "Risk communication with pictographs: The role of numeracy and graph processing," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 6(3), pages 263-274, April.
    13. 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.
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