IDEAS home Printed from https://ideas.repec.org/a/eee/reensy/v92y2007i2p171-186.html
   My bibliography  Save this article

The effect of information types on diagnostic strategies in the information aid

Author

Listed:
  • Kim, Jong Hyun
  • Seong, Poong Hyun

Abstract

Through experiments, this paper investigates the compatibility of information types with the diagnostic strategy in information aid. Compatibility with operator strategies is an important requirement for information aiding systems in nuclear power plants (NPPs). This paper used three typical types of information aids for MCR operators to investigate the effect of the aids on diagnostic strategies: “alarm (A),†“hypothesis on faults (H),†and “hypothesis on faults and expected symptoms (HS).†The experimental results indicate that the effectiveness of information aid types can vary, dependent on the strategies subjects employ. The results also show that the HS aid improved the diagnosis performance in the hypothesis-and-test strategy.

Suggested Citation

  • Kim, Jong Hyun & Seong, Poong Hyun, 2007. "The effect of information types on diagnostic strategies in the information aid," Reliability Engineering and System Safety, Elsevier, vol. 92(2), pages 171-186.
  • Handle: RePEc:eee:reensy:v:92:y:2007:i:2:p:171-186
    DOI: 10.1016/j.ress.2005.11.061
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0951832005002693
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ress.2005.11.061?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Klayman, Joshua, 1985. "Children's decision strategies and their adaptation to task characteristics," Organizational Behavior and Human Decision Processes, Elsevier, vol. 35(2), pages 179-201, April.
    2. Bettman, James R & Park, C Whan, 1980. "Effects of Prior Knowledge and Experience and Phase of the Choice Process on Consumer Decision Processes: A Protocol Analysis," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 7(3), pages 234-248, December.
    3. Gary Klein, 1999. "Sources of Power: How People Make Decisions," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262611465, 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. Lee, Seung Jun & Kim, Man Cheol & Seong, Poong Hyun, 2008. "An analytical approach to quantitative effect estimation of operation advisory system based on human cognitive process using the Bayesian belief network," Reliability Engineering and System Safety, Elsevier, vol. 93(4), pages 567-577.
    2. Simeu-Abazi, Zineb & Lefebvre, Arnaud & Derain, Jean-Pierre, 2011. "A methodology of alarm filtering using dynamic fault tree," Reliability Engineering and System Safety, Elsevier, vol. 96(2), pages 257-266.

    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. Lee, Hanjoon & Herr, Paul M. & Kardes, Frank R. & Kim, Chankon, 1999. "Motivated Search: Effects of Choice Accountability, Issue Involvement, and Prior Knowledge on Information Acquisition and Use," Journal of Business Research, Elsevier, vol. 45(1), pages 75-88, May.
    2. Tim Rakow & Charles Vincent & Kate Bull & Nigel Harvey, 2005. "Assessing the Likelihood of an Important Clinical Outcome: New Insights from a Comparison of Clinical and Actuarial Judgment," Medical Decision Making, , vol. 25(3), pages 262-282, May.
    3. repec:cup:judgdm:v:11:y:2016:i:1:p:40-47 is not listed on IDEAS
    4. Jordan Vazquez & Cécile Godé & Jean-Fabrice Lebraty, 2018. "Environnement big data et décision : l'étape de contre la montre du tour de France 2017," Post-Print halshs-02188793, HAL.
    5. David Williams, 2014. "Models, Metaphors and Symbols for Information and Knowledge Systems," Journal of Entrepreneurship, Management and Innovation, Fundacja Upowszechniająca Wiedzę i Naukę "Cognitione", vol. 10(1), pages 79-107.
    6. Pereira, Hélia Gonçalves & Salgueiro, Maria de Fátima & Rita, Paulo, 2016. "Online purchase determinants of loyalty: The mediating effect of satisfaction in tourism," Journal of Retailing and Consumer Services, Elsevier, vol. 30(C), pages 279-291.
    7. Meng, Bo & Choi, Kyuhwan, 2016. "The role of authenticity in forming slow tourists' intentions: Developing an extended model of goal-directed behavior," Tourism Management, Elsevier, vol. 57(C), pages 397-410.
    8. Mark Heitmann & Andreas Herrmann, 2007. "Die Zufriedenheit mit dem Entscheidungsprozess als Determinante der Kundenbindung," Schmalenbach Journal of Business Research, Springer, vol. 59(5), pages 530-566, August.
    9. Ryo Kato & Takahiro Hoshino & Daisuke Moriwaki & Shintaro Okazaki, 2022. "Mobile Targeting: Exploring the Role of Area Familiarity, Store Knowledge, and Promotional Incentives," Discussion Paper Series DP2022-10, Research Institute for Economics & Business Administration, Kobe University.
    10. Amin Ansary & Nik M. Hazrul Nik Hashim, 2018. "Brand image and equity: the mediating role of brand equity drivers and moderating effects of product type and word of mouth," Review of Managerial Science, Springer, vol. 12(4), pages 969-1002, October.
    11. Fe Yoo & Hye Jung Jung & Kyung Wha Oh, 2021. "Motivators and Barriers for Buying Intention of Upcycled Fashion Products in China," Sustainability, MDPI, vol. 13(5), pages 1-19, February.
    12. Shao, Wei & Lye, Ashley & Rundle-Thiele, Sharyn, 2009. "Different strokes for different folks: A method to accommodate decision -making heterogeneity," Journal of Retailing and Consumer Services, Elsevier, vol. 16(6), pages 495-501.
    13. Ozer, Muammer, 2011. "Understanding the impacts of product knowledge and product type on the accuracy of intentions-based new product predictions," European Journal of Operational Research, Elsevier, vol. 211(2), pages 359-369, June.
    14. Mike Metcalfe, 2013. "A Pragmatic System of Decision Criteria," Systems Research and Behavioral Science, Wiley Blackwell, vol. 30(1), pages 56-64, January.
    15. Hélia Gonçalves Pereira & Maria Fátima Salgueiro & Paulo Rita, 2017. "Online determinants of e-customer satisfaction: application to website purchases in tourism," Service Business, Springer;Pan-Pacific Business Association, vol. 11(2), pages 375-403, June.
    16. Aby Abraham & Sanjay Patro, 2014. "‘Country-of-Origin’ Effect and Consumer Decision-making," Management and Labour Studies, XLRI Jamshedpur, School of Business Management & Human Resources, vol. 39(3), pages 309-318, August.
    17. Bosul Yoo & Sotaro Katsumata & Takeyasu Ichikohji, 2017. "The Impact of Customer Orientation on Quantity and Quality of User-Generated Content: A Multi-Country Case Study of Mobile Applications," Discussion Papers in Economics and Business 17-12, Osaka University, Graduate School of Economics.
    18. Davies, Antony & Cline, Thomas W., 2005. "A consumer behavior approach to modeling monopolistic competition," Journal of Economic Psychology, Elsevier, vol. 26(6), pages 797-826, December.
    19. Babutsidze, Zakaria, 2007. "How Do Consumers Make Choices? A Summary of Evidence from Marketing and Psychology," MERIT Working Papers 2007-005, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    20. Bailey, James R., 1997. "Need for cognition and response mode in the active construction of an information domain," Journal of Economic Psychology, Elsevier, vol. 18(1), pages 69-85, February.
    21. Mortimer, Gary & Weeks, Clinton S., 2019. "How unit price awareness and usage encourages grocery brand switching and expenditure," Journal of Retailing and Consumer Services, Elsevier, vol. 49(C), pages 346-356.

    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:eee:reensy:v:92:y:2007:i:2:p:171-186. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/reliability-engineering-and-system-safety .

    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.