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Process Tracing Analysis of Hurricane Information Displays

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  • Hao‐Che Wu
  • Michael K. Lindell
  • Carla S. Prater

Abstract

To study people's processing of hurricane forecast advisories, we conducted a computer‐based experiment that examined 11 research questions about the information seeking patterns of students assuming the role of a county emergency manager in a sequence of six hurricane forecast advisories for each of four different hurricanes. The results show that participants considered a variety of different sources of information—textual, graphic, and numeric—when tracking hurricanes. Click counts and click durations generally gave the same results but there were some significant differences. Moreover, participants’ information search strategies became more efficient over forecast advisories and with increased experience tracking the four hurricanes. These changes in the search patterns from the first to the fourth hurricane suggest that the presentation of abstract principles in a training manual was not sufficient for them to learn how to track hurricanes efficiently but they were able to significantly improve their search efficiency with a modest amount (roughly an hour) of practice. Overall, these data indicate that information search patterns are complex and deserve greater attention in studies of dynamic decision tasks.

Suggested Citation

  • Hao‐Che Wu & Michael K. Lindell & Carla S. Prater, 2015. "Process Tracing Analysis of Hurricane Information Displays," Risk Analysis, John Wiley & Sons, vol. 35(12), pages 2202-2220, December.
  • Handle: RePEc:wly:riskan:v:35:y:2015:i:12:p:2202-2220
    DOI: 10.1111/risa.12423
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    References listed on IDEAS

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    1. Lohse, Gerald L. & Johnson, Eric J., 1996. "A Comparison of Two Process Tracing Methods for Choice Tasks," Organizational Behavior and Human Decision Processes, Elsevier, vol. 68(1), pages 28-43, October.
    2. Hao‐Che Wu & Michael K. Lindell & Carla S. Prater & Charles D. Samuelson, 2014. "Effects of Track and Threat Information on Judgments of Hurricane Strike Probability," Risk Analysis, John Wiley & Sons, vol. 34(6), pages 1025-1039, June.
    3. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    4. Ford, J. Kevin & Schmitt, Neal & Schechtman, Susan L. & Hults, Brian M. & Doherty, Mary L., 1989. "Process tracing methods: Contributions, problems, and neglected research questions," Organizational Behavior and Human Decision Processes, Elsevier, vol. 43(1), pages 75-117, February.
    5. Ann Bostrom & Cynthia J. Atman & Baruch Fischhoff & M. Granger Morgan, 1994. "Evaluating Risk Communications: Completing and Correcting Mental Models of Hazardous Processes, Part II," Risk Analysis, John Wiley & Sons, vol. 14(5), pages 789-798, October.
    6. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    7. Robert Meyer & Kenneth Broad & Ben Orlove & Nada Petrovic, 2013. "Dynamic Simulation as an Approach to Understanding Hurricane Risk Response: Insights from the Stormview Lab," Risk Analysis, John Wiley & Sons, vol. 33(8), pages 1532-1552, August.
    8. Michael K. Lindell & Ronald W. Perry, 2012. "The Protective Action Decision Model: Theoretical Modifications and Additional Evidence," Risk Analysis, John Wiley & Sons, vol. 32(4), pages 616-632, April.
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    1. Thomas J. Cova & Philip E. Dennison & Dapeng Li & Frank A. Drews & Laura K. Siebeneck & Michael K. Lindell, 2017. "Warning Triggers in Environmental Hazards: Who Should Be Warned to Do What and When?," Risk Analysis, John Wiley & Sons, vol. 37(4), pages 601-611, April.
    2. Alex Greer & Hao-Che Wu & Haley Murphy, 2018. "A serendipitous, quasi-natural experiment: earthquake risk perceptions and hazard adjustments among college students," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 93(2), pages 987-1011, September.

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