IDEAS home Printed from https://ideas.repec.org/a/wly/riskan/v35y2015i12p2202-2220.html

Process Tracing Analysis of Hurricane Information Displays

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/risa.12423
    Download Restriction: no

    File URL: https://libkey.io/10.1111/risa.12423?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    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. 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..
    5. 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.
    6. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Morshedi, Mohamad Ali & Kashani, Hamed, 2022. "Assessment of vulnerability reduction policies: Integration of economic and cognitive models of decision-making," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
    2. Glöckner, Andreas & Betsch, Tilmann, 2008. "Do people make decisions under risk based on ignorance? An empirical test of the priority heuristic against cumulative prospect theory," Organizational Behavior and Human Decision Processes, Elsevier, vol. 107(1), pages 75-95, September.
    3. Fisher, Geoffrey, 2025. "Triangulating decision-making via choices, eye fixations, and reaching trajectories," Organizational Behavior and Human Decision Processes, Elsevier, vol. 189(C).
    4. Andreas Glöckner & Ann-Katrin Herbold, 2008. "Information Processing in Decisions under Risk: Evidence for Compensatory Strategies based on Automatic Processes," Discussion Paper Series of the Max Planck Institute for Behavioral Economics 2008_42, Max Planck Institute for Behavioral Economics.
    5. Andreas Glöckner & Tilmann Betsch, 2008. "Do People Make Decisions Under Risk Based on Ignorance? An Empirical Test of the Priority Heuristic against Cumulative Prospect Theory," Discussion Paper Series of the Max Planck Institute for Behavioral Economics 2008_05, Max Planck Institute for Behavioral Economics.
    6. Konstantinos Katsikopoulos & Gerd Gigerenzer, 2008. "One-reason decision-making: Modeling violations of expected utility theory," Journal of Risk and Uncertainty, Springer, vol. 37(1), pages 35-56, August.
    7. Shoji, Isao & Kanehiro, Sumei, 2016. "Disposition effect as a behavioral trading activity elicited by investors' different risk preferences," International Review of Financial Analysis, Elsevier, vol. 46(C), pages 104-112.
    8. Jos'e Cl'audio do Nascimento, 2019. "Behavioral Biases and Nonadditive Dynamics in Risk Taking: An Experimental Investigation," Papers 1908.01709, arXiv.org, revised Apr 2023.
    9. Francesco GUALA, 2017. "Preferences: Neither Behavioural nor Mental," Departmental Working Papers 2017-05, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    10. Bin Zou, 2017. "Optimal Investment In Hedge Funds Under Loss Aversion," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 20(03), pages 1-32, May.
    11. Nicholas Barberis, 2012. "A Model of Casino Gambling," Management Science, INFORMS, vol. 58(1), pages 35-51, January.
    12. Goytom Abraha Kahsay & Daniel Osberghaus, 2018. "Storm Damage and Risk Preferences: Panel Evidence from Germany," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 71(1), pages 301-318, September.
    13. Carolin Bock & Maximilian Schmidt, 2015. "Should I stay, or should I go? – How fund dynamics influence venture capital exit decisions," Review of Financial Economics, John Wiley & Sons, vol. 27(1), pages 68-82, November.
    14. Paredes-Frigolett, Harold, 2016. "Modeling the effect of responsible research and innovation in quadruple helix innovation systems," Technological Forecasting and Social Change, Elsevier, vol. 110(C), pages 126-133.
    15. Tetenov, Aleksey, 2012. "Statistical treatment choice based on asymmetric minimax regret criteria," Journal of Econometrics, Elsevier, vol. 166(1), pages 157-165.
    16. Chen, Yanyan & Mandler, Timo & Meyer-Waarden, Lars, 2021. "Three decades of research on loyalty programs: A literature review and future research agenda," Journal of Business Research, Elsevier, vol. 124(C), pages 179-197.
    17. Tomas Bonavia & Josué Brox-Ponce, 2018. "Shame in decision making under risk conditions: Understanding the effect of transparency," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-16, February.
    18. Massimiliano Amarante & Mario Ghossoub & Edmund Phelps, 2012. "Contracting for Innovation under Knightian Uncertainty," Cahiers de recherche 18-2012, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    19. Plante, Charles & Lassoued, Rim & Phillips, Peter W.B., 2017. "The Social Determinants of Cognitive Bias: The Effects of Low Capability on Decision Making in a Framing Experiment," SocArXiv u62cx, Center for Open Science.
    20. Wang, Peiwen & Chen, Minghua & Wu, Ji & Yan, Yuanyun, 2023. "Do peer effects matter in bank risk? Some cross-country evidence," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 88(C).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:riskan:v:35:y:2015:i:12:p:2202-2220. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1111/(ISSN)1539-6924 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.