IDEAS home Printed from https://ideas.repec.org/h/spr/lnichp/978-3-030-28144-1_10.html
   My bibliography  Save this book chapter

Using fMRI to Measure Stimulus Generalization of Software Notification to Security Warnings

In: Information Systems and Neuroscience

Author

Listed:
  • Brock Kirwan

    (Brigham Young University)

  • Bonnie Anderson

    (Brigham Young University)

  • David Eargle

    (University of Colorado)

  • Jeffrey Jenkins

    (Brigham Young University)

  • Anthony Vance

    (Temple University)

Abstract

This paper examines how habituation to frequent software notifications may carry over to infrequent security warnings. This general process—known as stimulus generalization or simply generalization—is a well-established phenomenon in neurobiology that has clear implications for information security. Because software user interface guidelines call for visual consistency, software notifications and security warnings have a similar look and feel. Consequently, through frequent exposure to notifications, people may become habituated to security warnings they have never seen before. The objective of this paper to propose an fMRI experimental design to measure the extent to which this occurs. We also propose testing security warning designs that are resistant to generalization of habituation effects.

Suggested Citation

  • Brock Kirwan & Bonnie Anderson & David Eargle & Jeffrey Jenkins & Anthony Vance, 2020. "Using fMRI to Measure Stimulus Generalization of Software Notification to Security Warnings," Lecture Notes in Information Systems and Organization, in: Fred D. Davis & René Riedl & Jan vom Brocke & Pierre-Majorique Léger & Adriane Randolph & Thomas Fis (ed.), Information Systems and Neuroscience, pages 93-99, Springer.
    • Handle: RePEc:spr:lnichp:978-3-030-28144-1_10
    DOI: 10.1007/978-3-030-28144-1_10
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:spr:lnichp:978-3-030-28144-1_10. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.