IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0223736.html
   My bibliography  Save this article

When calculators lie: A demonstration of uncritical calculator usage among college students and factors that improve performance

Author

Listed:
  • Mark LaCour
  • Norma G Cantú
  • Tyler Davis

Abstract

Calculators are often unnecessary to solve routine problems, though they are convenient for offloading cognitively effortful processes. However, errors can arise if incorrect procedures are used or when users fail to monitor the output for keystroke mistakes. To investigate the conditions under which people’s attention are captured by errant calculator outputs (i.e., from incorrectly chosen procedures or keystroke errors), we programmed an onscreen calculator to “lie” by changing the answers displayed on certain problems. We measured suspicion by tracking whether users explicitly reported suspicion, overrode calculator “lies”, or re-checked their calculations after a “lie” was presented. In Study 1, we manipulated the concreteness of problem presentation and calculator delay between subjects to test how these affect suspicion towards “lies” (15% added to answers). We found that numeracy had no effect on whether people opted-in or out of using the calculator but did predict whether they would become suspicious. Very few people showed suspicion overall, however. For study 2, we increased the “lies” to 120% on certain answers and included questions with “conceptual lies” shown (e.g., a negative sign that should have been positive). We again found that numeracy had no effect on calculator usage, but, along with concrete formatting, did predict suspicion behavior. This was found regardless of “lie” type. For study 3, we reproduced these effects after offering students an incentive for good performance, which did raise their accuracy across the math problems overall but did not increase suspicion behavior. We conclude that framing problems within a concrete domain and being higher in numeracy increases the likelihood of spotting errant calculator outputs, regardless of incentive.

Suggested Citation

  • Mark LaCour & Norma G Cantú & Tyler Davis, 2019. "When calculators lie: A demonstration of uncritical calculator usage among college students and factors that improve performance," PLOS ONE, Public Library of Science, vol. 14(10), pages 1-18, October.
  • Handle: RePEc:plo:pone00:0223736
    DOI: 10.1371/journal.pone.0223736
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0223736
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0223736&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0223736?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. Isaac M. Lipkus & Greg Samsa & Barbara K. Rimer, 2001. "General Performance on a Numeracy Scale among Highly Educated Samples," Medical Decision Making, , vol. 21(1), pages 37-44, February.
    Full references (including those not matched with items on IDEAS)

    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. repec:cup:judgdm:v:4:y:2009:i:1:p:34-40 is not listed on IDEAS
    2. Fuchsman, Dillon & McGee, Josh B. & Zamarro, Gema, 2023. "Teachers’ willingness to pay for retirement benefits: A national stated preferences experiment," Economics of Education Review, Elsevier, vol. 92(C).
    3. Fuchsman, Dillon & McGee, Josh & Zamarro, Gema, 2022. "Teachers’ Knowledge and Preparedness for Retirement: Results from a Nationally Representative Teacher Survey," Working Papers 21-5, Sinquefield Center for Applied Economic Research, Saint Louis University.
    4. Theresa Kuchler & Basit Zafar, 2019. "Personal Experiences and Expectations about Aggregate Outcomes," Journal of Finance, American Finance Association, vol. 74(5), pages 2491-2542, October.
    5. Yaniv Hanoch & Talya Miron-Shatz & Mary Himmelstein, 2010. "Genetic testing and risk interpretation: How do women understand lifetime risk results?," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 5(2), pages 116-123, April.
    6. Ralph Stevens & Jennifer Alonso Garcia & Hazel Bateman & Arthur van Soest & Johan Bonekamp, 2022. "Saving preferences after retirement," ULB Institutional Repository 2013/342267, ULB -- Universite Libre de Bruxelles.
    7. Andrea D. Gurmankin & Jonathan Baron & Katrina Armstrong, 2004. "The Effect of Numerical Statements of Risk on Trust and Comfort with Hypothetical Physician Risk Communication," Medical Decision Making, , vol. 24(3), pages 265-271, June.
    8. Cathy Anne Pinto & Gin Nie Chua & John F. P. Bridges & Ella Brookes & Johanna Hyacinthe & Tommi Tervonen, 2022. "Comparing Patient Preferences for Antithrombotic Treatment During the Acute and Chronic Phases of Myocardial Infarction: A Discrete-Choice Experiment," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 15(2), pages 255-266, March.
    9. Atanasov, Pavel & Witkowski, Jens & Ungar, Lyle & Mellers, Barbara & Tetlock, Philip, 2020. "Small steps to accuracy: Incremental belief updaters are better forecasters," Organizational Behavior and Human Decision Processes, Elsevier, vol. 160(C), pages 19-35.
    10. repec:cup:judgdm:v:11:y:2016:i:5:p:441-448 is not listed on IDEAS
    11. repec:cup:judgdm:v:9:y:2014:i:2:p:152-158 is not listed on IDEAS
    12. repec:cup:judgdm:v:14:y:2019:i:3:p:234-279 is not listed on IDEAS
    13. Diego Fernandez-Duque & Timothy Wifall, 2007. "Actor/observer asymmetry in risky decision making," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 2, pages 1-8, February.
    14. Hazel Bateman & Christine Eckert & Fedor Iskhakov & Jordan Louviere & Stephen Satchell & Susan Thorp, 2017. "Default and naive diversification heuristics in annuity choice," Australian Journal of Management, Australian School of Business, vol. 42(1), pages 32-57, February.
    15. Thorp, S. & Bateman, H. & Dobrescu, L.I. & Newell, B.R. & Ortmann, A., 2020. "Flicking the switch: Simplifying disclosure to improve retirement plan choices," Journal of Banking & Finance, Elsevier, vol. 121(C).
    16. William J. Burns & Ellen Peters & Paul Slovic, 2012. "Risk Perception and the Economic Crisis: A Longitudinal Study of the Trajectory of Perceived Risk," Risk Analysis, John Wiley & Sons, vol. 32(4), pages 659-677, April.
    17. Andor, Mark Andreas & Bauer, Thomas K. & Eßer, Jana & Schmidt, Christoph M. & Tomberg, Lukas, 2023. "Who gets vaccinated? Cognitive and non-cognitive predictors of individual behavior in pandemics," Ruhr Economic Papers 993, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    18. Michele Garagnani, 2023. "The predictive power of risk elicitation tasks," Journal of Risk and Uncertainty, Springer, vol. 67(2), pages 165-192, October.
    19. Chavez, Daniel E. & Palma, Marco A. & Nayga Jr., Rodolfo M., 2017. "When does real become consequential in non-hypothetical choice experiments?," 2018 Annual Meeting, February 2-6, 2018, Jacksonville, Florida 266327, Southern Agricultural Economics Association.
    20. Bernt Kartman & Gudrun Gatz & Magnus Johannesson, 2004. "Health State Utilities in Gastroesophageal Reflux Disease Patients with Heartburn: A Study in Germany and Sweden," Medical Decision Making, , vol. 24(1), pages 40-52, January.
    21. repec:cup:judgdm:v:10:y:2015:i:6:p:549-563 is not listed on IDEAS
    22. Brandon Garrett & Gregory Mitchell, 2013. "How Jurors Evaluate Fingerprint Evidence: The Relative Importance of Match Language, Method Information, and Error Acknowledgment," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 10(3), pages 484-511, September.
    23. repec:cup:judgdm:v:9:y:2014:i:5:p:420-432 is not listed on IDEAS
    24. repec:cup:judgdm:v:15:y:2020:i:1:p:93-111 is not listed on IDEAS
    25. Bleemer, Zachary & Zafar, Basit, 2018. "Intended college attendance: Evidence from an experiment on college returns and costs," Journal of Public Economics, Elsevier, vol. 157(C), pages 184-211.
    26. Jennifer Alonso Garcia & Hazel Bateman & Johan Bonekamp & Ralph Stevens, 2017. "Retirement drawdown defaults: the role of implied endorsement," ULB Institutional Repository 2013/300025, ULB -- Universite Libre de Bruxelles.
    27. Luis Armona & Andreas Fuster & Basit Zafar, 2019. "Home Price Expectations and Behaviour: Evidence from a Randomized Information Experiment," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 86(4), pages 1371-1410.

    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:plo:pone00:0223736. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.