IDEAS home Printed from https://ideas.repec.org/a/inm/orisre/v27y2016i4p880-896.html
   My bibliography  Save this article

More Harm Than Good? How Messages That Interrupt Can Make Us Vulnerable

Author

Listed:
  • Jeffrey L. Jenkins

    (Information Systems Department, Marriott School of Management, Brigham Young University, Provo, Utah 84602)

  • Bonnie Brinton Anderson

    (Information Systems Department, Marriott School of Management, Brigham Young University, Provo, Utah 84602)

  • Anthony Vance

    (Information Systems Department, Marriott School of Management, Brigham Young University, Provo, Utah 84602)

  • C. Brock Kirwan

    (Department of Psychology and Neuroscience Center, Brigham Young University, Provo, Utah 84602)

  • David Eargle

    (Joseph M. Katz Graduate School of Business, University of Pittsburgh, Pittsburgh, Pennsylvania 15260)

Abstract

System-generated alerts are ubiquitous in personal computing and, with the proliferation of mobile devices, daily activity. While these interruptions provide timely information, research shows they come at a high cost in terms of increased stress and decreased productivity. This is due to dual-task interference (DTI), a cognitive limitation in which even simple tasks cannot be simultaneously performed without significant performance loss. Although previous research has examined how DTI impacts the performance of a primary task (the task that was interrupted), no research has examined the effect of DTI on the interrupting task. This is an important gap because in many contexts, failing to heed an alert—the interruption itself—can introduce critical vulnerabilities.Using security messages as our context, we address this gap by using functional magnetic resonance imaging (fMRI) to explore how (1) DTI occurs in the brain in response to interruptive alerts, (2) DTI influences message security disregard, and (3) the effects of DTI can be mitigated by finessing the timing of the interruption. We show that neural activation is substantially reduced under a condition of high DTI, and the degree of reduction in turn significantly predicts security message disregard. Interestingly, we show that when a message immediately follows a primary task, neural activity in the medial temporal lobe is comparable to when attending to the message is the only task.Further, we apply these findings in an online behavioral experiment in the context of a web-browser warning. We demonstrate a practical way to mitigate the DTI effect by presenting the warning at low-DTI times, and show how mouse cursor tracking and psychometric measures can be used to validate low-DTI times in other contexts.Our findings suggest that although alerts are pervasive in personal computing, they should be bounded in their presentation. The timing of interruptions strongly influences the occurrence of DTI in the brain, which in turn substantially impacts alert disregard. This paper provides a theoretically grounded, cost-effective approach to reduce the effects of DTI for a wide variety of interruptive messages that are important but do not require immediate attention.

Suggested Citation

  • Jeffrey L. Jenkins & Bonnie Brinton Anderson & Anthony Vance & C. Brock Kirwan & David Eargle, 2016. "More Harm Than Good? How Messages That Interrupt Can Make Us Vulnerable," Information Systems Research, INFORMS, vol. 27(4), pages 880-896, December.
  • Handle: RePEc:inm:orisre:v:27:y:2016:i:4:p:880-896
    DOI: 10.1287/isre.2016.0644
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/isre.2016.0644
    Download Restriction: no

    File URL: https://libkey.io/10.1287/isre.2016.0644?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. William G. Heninger & Alan R. Dennis & Kelly McNamara Hilmer, 2006. "Research Note: Individual Cognition and Dual-Task Interference in Group Support Systems," Information Systems Research, INFORMS, vol. 17(4), pages 415-424, December.
    2. Angelika Dimoka & Paul A. Pavlou & Fred D. Davis, 2011. "Research Commentary ---NeuroIS: The Potential of Cognitive Neuroscience for Information Systems Research," Information Systems Research, INFORMS, vol. 22(4), pages 687-702, December.
    3. Ann-Frances Cameron & Jane Webster, 2013. "Multicommunicating: Juggling Multiple Conversations in the Workplace," Information Systems Research, INFORMS, vol. 24(2), pages 352-371, June.
    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. Aline Vargas Pinto & Iris Beerepoot & Antônio Carlos Gastaud Maçada, 2023. "Encourage autonomy to increase individual work performance: the impact of job characteristics on workaround behavior and shadow IT usage," Information Technology and Management, Springer, vol. 24(3), pages 233-246, September.
    2. Oliver Hinz & Shawndra Hill & Amit Sharma, 2022. "Second Screening—The Influence of Concurrent TV Consumption on Online Shopping Behavior," Information Systems Research, INFORMS, vol. 33(3), pages 809-823, September.
    3. Simon Kloker, 0. "Non-addictive Information Systems," Information Systems Frontiers, Springer, vol. 0, pages 1-14.
    4. Sam Ransbotham & Robert G. Fichman & Ram Gopal & Alok Gupta, 2016. "Special Section Introduction—Ubiquitous IT and Digital Vulnerabilities," Information Systems Research, INFORMS, vol. 27(4), pages 834-847, December.
    5. Ahmed Abbasi & David Dobolyi & Anthony Vance & Fatemeh Mariam Zahedi, 2021. "The Phishing Funnel Model: A Design Artifact to Predict User Susceptibility to Phishing Websites," Information Systems Research, INFORMS, vol. 32(2), pages 410-436, June.
    6. Obi M. Ogbanufe & Corey Baham, 2023. "Using Multi-Factor Authentication for Online Account Security: Examining the Influence of Anticipated Regret," Information Systems Frontiers, Springer, vol. 25(2), pages 897-916, April.
    7. Vilma Todri & Anindya Ghose & Param Vir Singh, 2020. "Trade-Offs in Online Advertising: Advertising Effectiveness and Annoyance Dynamics Across the Purchase Funnel," Information Systems Research, INFORMS, vol. 31(1), pages 102-125, March.
    8. Israel, Avi & Rosenboim, Mosi & Shavit, Tal, 2022. "The effect of SMS notifications on time preferences," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 97(C).
    9. Bashirzadeh, Yashar & Mai, Robert & Faure, Corinne, 2022. "How rich is too rich? Visual design elements in digital marketing communications," International Journal of Research in Marketing, Elsevier, vol. 39(1), pages 58-76.
    10. GuiDeng Say & Gurneeta Vasudeva, 2020. "Learning from Digital Failures? The Effectiveness of Firms’ Divestiture and Management Turnover Responses to Data Breaches," Strategy Science, INFORMS, vol. 5(2), pages 117-142, June.
    11. Warut Khern-am-nuai & Matthew J. Hashim & Alain Pinsonneault & Weining Yang & Ninghui Li, 2023. "Augmenting Password Strength Meter Design Using the Elaboration Likelihood Model: Evidence from Randomized Experiments," Information Systems Research, INFORMS, vol. 34(1), pages 157-177, March.
    12. Simon Kloker, 2020. "Non-addictive Information Systems," Information Systems Frontiers, Springer, vol. 22(3), pages 549-562, June.

    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. Christian Maier & Sven Laumer & Tim Weitzel, 2022. "A Dark Side of Telework: A Social Comparison-Based Study from the Perspective of Office Workers," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 64(6), pages 793-811, December.
    2. Tibert Verhagen & Daniel Bloemers, 2018. "Exploring the cognitive and affective bases of online purchase intentions: a hierarchical test across product types," Electronic Commerce Research, Springer, vol. 18(3), pages 537-561, September.
    3. Luqman, Adeel & Talwar, Shalini & Masood, Ayesha & Dhir, Amandeep, 2021. "Does enterprise social media use promote employee creativity and well-being?," Journal of Business Research, Elsevier, vol. 131(C), pages 40-54.
    4. Matt Germonprez & Julie E. Kendall & Kenneth E. Kendall & Lars Mathiassen & Brett Young & Brian Warner, 2017. "A Theory of Responsive Design: A Field Study of Corporate Engagement with Open Source Communities," Information Systems Research, INFORMS, vol. 28(1), pages 64-83, March.
    5. Gwendolyn L. Kolfschoten & Frances M. T. Brazier, 2013. "Cognitive Load in Collaboration: Convergence," Group Decision and Negotiation, Springer, vol. 22(5), pages 975-996, September.
    6. Antonio Ferreira & Pedro Antunes & Valeria Herskovic, 2011. "Improving Group Attention: An Experiment with Synchronous Brainstorming," Group Decision and Negotiation, Springer, vol. 20(5), pages 643-666, September.
    7. Cahill, Daniel & Ho, Choy Yeing (Chloe) & Yang, Joey W., 2022. "The COVID-19 pandemic: How important is face-to-face interaction for information dissemination?," Global Finance Journal, Elsevier, vol. 54(C).
    8. Liu, Yi & Jin, Justin, 2023. "Social distancing and local bias," Finance Research Letters, Elsevier, vol. 51(C).
    9. Casado-Aranda, Luis-Alberto & Dimoka, Angelika & Sánchez-Fernández, Juan, 2019. "Consumer Processing of Online Trust Signals: A Neuroimaging Study," Journal of Interactive Marketing, Elsevier, vol. 47(C), pages 159-180.
    10. Lionel P. Robert & Alan R. Dennis & Manju K. Ahuja, 2008. "Social Capital and Knowledge Integration in Digitally Enabled Teams," Information Systems Research, INFORMS, vol. 19(3), pages 314-334, September.
    11. Paulo B. Goes & Noyan Ilk & Mingfeng Lin & J. Leon Zhao, 2018. "When More Is Less: Field Evidence on Unintended Consequences of Multitasking," Management Science, INFORMS, vol. 64(7), pages 3033-3054, July.
    12. Lionel P. Robert Jr & Alan R. Dennis & Manju K. Ahuja, 2018. "Differences are Different: Examining the Effects of Communication Media on the Impacts of Racial and Gender Diversity in Decision-Making Teams," Information Systems Research, INFORMS, vol. 29(3), pages 525-545, September.
    13. Patrick Mikalef & Kshitij Sharma & Ilias O. Pappas & Michail Giannakos, 2021. "Seeking Information on Social Commerce: An Examination of the Impact of User- and Marketer-generated Content Through an Eye-tracking Study," Information Systems Frontiers, Springer, vol. 23(5), pages 1273-1286, September.
    14. Marta Ballatore & Lise Arena & Agnès Festré, 2020. "The Use of Experimental Methods by IS Scholars: An Illustrated Typology," Post-Print halshs-02866756, HAL.
    15. K Akdim & Luis V. Casaló, 2023. "Perceived value of AI-based recommendations service: the case of voice assistants," Service Business, Springer;Pan-Pacific Business Association, vol. 17(1), pages 81-112, March.
    16. Valerie L. Bartelt & Alan R. Dennis & Lingyao Yuan & Jordan B. Barlow, 2013. "Individual Priming in Virtual Team Decision-Making," Group Decision and Negotiation, Springer, vol. 22(5), pages 873-896, September.
    17. Pankush Kalgotra & Ramesh Sharda & Roger McHaney, 2019. "Don’t Disturb Me! Understanding the Impact of Interruptions on Knowledge Work: an Exploratory Neuroimaging Study," Information Systems Frontiers, Springer, vol. 21(5), pages 1019-1030, October.
    18. Patrick Mikalef & Kshitij Sharma & Ilias O. Pappas & Michail Giannakos, 0. "Seeking Information on Social Commerce: An Examination of the Impact of User- and Marketer-generated Content Through an Eye-tracking Study," Information Systems Frontiers, Springer, vol. 0, pages 1-14.
    19. Lutz, Bernhard & Pröllochs, Nicolas & Neumann, Dirk, 2022. "Are longer reviews always more helpful? Disentangling the interplay between review length and line of argumentation," Journal of Business Research, Elsevier, vol. 144(C), pages 888-901.
    20. Casado-Aranda, Luis-Alberto & Liébana-Cabanillas, Francisco & Sánchez-Fernández, Juan, 2018. "A Neuropsychological Study on How Consumers Process Risky and Secure E-payments," Journal of Interactive Marketing, Elsevier, vol. 43(C), pages 151-164.

    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:inm:orisre:v:27:y:2016:i:4:p:880-896. 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: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    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.