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Exploring Older Adult Susceptibility to Fraudulent Computer Pop-Up Interruptions

Conference paper
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Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 782)

Abstract

The proliferation of Internet connectivity and accessibility has been accompanied by an increase in cyber-threats, including fraudulent communications. Fake computer updates, which attempt to persuade people to download malicious software by mimicking trusted brands and/or instilling urgency, are one way in which fraudsters try to infiltrate systems. A recent study of young university students (M 18.52-years) found that when such pop-ups interrupt a demanding cognitive task, participants spent little time viewing them and were more likely to miss suspicious cues and accept these updates compared to when they were viewed without the pressure to resume a suspended task [1]. The aim of the current experiment was to test an older adult sample (N = 29, all >60 years) using the same paradigm. We predicted that they would be more susceptible to malevolent pop-ups [2]; trusting them more than younger adults (e.g., [3]), and would attempt to resume the interrupted task faster to limit forgetting of encoded items. Phase 1 involved serial recall memory trials interrupted by genuine, mimicked, and low authority pop-ups. During phase 2, participants rated messages with unlimited time and gave reasons for their decisions. It was found that more than 70% of mimicked and low authority pop-ups were accepted in Phase 1 vs ~80% genuine pop-ups (and these were all approximately 10% higher than [1]). This was likely due to a greater tendency to ignore or miss suspicious content when performing under pressure, despite spending longer with messages and reporting high awareness of scam techniques than younger adults. Older adult participants were more suspicious during Phase 2 performing comparably to the younger adults in [1]. Factors that may impact older adult decisions relating to fraudulent computer communications are discussed, as well as theoretical and practical implications.

Keywords

Cyber security Susceptibility Older adults Task interruption 

Notes

Acknowledgments

The reported research forms part of a United Kingdom BRACE funded project (2016–17) – Measuring executive functioning predictive of real world behaviours in older adults. We thank a number of people for assistance with preparing materials and data collection including: Emma Gaskin, Hardeep Adams, Janet Watkins, Kiren Bains, Laura Bishop, Michael Carmody-Baker, Zahra Dahnoun, Ellie MacFarlane, Katerina Stankova, and Rose Vincent.

References

  1. 1.
    Williams, E.J., Morgan, P.L., Joinson, A.J.: Press accept to update now: individual differences in susceptibility to malevolent interruptions. Decis. Support Syst. 96, 119–129 (2017)CrossRefGoogle Scholar
  2. 2.
    Roberts, J., John, S., Bussell, C., Grajzel, K., Zhao, R., Karas, S., Six, D., Yue, C., Gavett, B.: Age group, not executive functioning, predicts past susceptibility to Internet phishing scams. Arch. Clin. Neuropsychol. 30(6), 572–573 (2015)CrossRefGoogle Scholar
  3. 3.
    Castle, E., Eisenberger, N.I., Seeman, T.E., Moons, W.G., Boggero, I.A., Grinblatt, M.S., Taylor, S.E.: Neural and behavioral bases of age differences in perceptions of trust. Proc. Natl. Acad. Sci. U.S.A. 109(51), 20848–29852 (2012)CrossRefGoogle Scholar
  4. 4.
    Gatto, S.L., Tak, S.H.: Computer, Internet, and email use among older adults: benefits and barriers. Educ. Gerontol. 34(9), 800–811 (2008)CrossRefGoogle Scholar
  5. 5.
    Office for National Statistics: Internet users in the UK: 2017 (2017). https://www.ons.gov.uk/businessindustryandtrade/itandinternetindustry/bulletins/internetusers/2017
  6. 6.
    Infosecurity Magazine: 45% of consumers are victims of cybercrime (2016). https://www.infosecurity-magazine.com/news/45-of-consumers-are-victims-of/
  7. 7.
  8. 8.
    Atkins, B., Huang, W.: A study of social engineering in online frauds. Open J. Soc. Sci. 1(3), 23 (2013)Google Scholar
  9. 9.
    Workman, M.: Wisecrackers: a theory-grounded investigation of phishing and pretext social engineering threats to information security. J. Am. Soc. Inform. Sci. Technol. 59(4), 662–674 (2008)CrossRefGoogle Scholar
  10. 10.
    Deem, D.L.: Notes from the field: observations in working with the forgotten victims of personal financial crimes. J. Elder Abuse Negl. 12(2), 33–48 (2000)CrossRefGoogle Scholar
  11. 11.
    Smith, A.D.: Cybercriminal impacts on online business and consumer confidence. Online Inf. Rev. 28(3), 224–234 (2004)CrossRefGoogle Scholar
  12. 12.
    James, B.D., Boyle, P.A., Bennett, D.A.: Correlates of susceptibility to scams in older adults without dementia. J. Elder Adult Abuse Negl. 26(2), 107–122 (2014)CrossRefGoogle Scholar
  13. 13.
    Lichtenberg, P.A., Stickney, L., Paulson, D.: Is psychological vulnerability related to the experience of fraud in older adults? Clin. Gerontol. 36(2), 132–146 (2013)CrossRefGoogle Scholar
  14. 14.
    Levine, T.R.: Truth-default theory: a theory of human deception and deception detection. J. Lang. Soc. Psychol. 33, 378–392 (2014)CrossRefGoogle Scholar
  15. 15.
    Gavett, B.E., Zhao, R., John, S.E., Bussell, C.A., Roberts, J.R., Yue, C.: Phishing suspiciousness in older and younger adults: the role of executive functioning. PLoS ONE 12(2), e0171620 (2017)CrossRefGoogle Scholar
  16. 16.
    Bruine de Bruin, W., Parker, A.M., Fischhoff, B.: Explaining adult age differences in decision making competence. J. Behav. Decis. Mak. 24, 1–14 (2010)Google Scholar
  17. 17.
    Bäckman, L., Molander, B.: Adult age differences in the ability to cope with situations of high arousal in a precision sport. Psychol. Aging 1(2), 133–139 (1986)CrossRefGoogle Scholar
  18. 18.
    Verhaeghen, P., Cerella, J.: Aging, executive control, and attention: a review of meta-analyses. Neurosci. Biobehav. Rev. 26(7), 849–857 (2002)CrossRefGoogle Scholar
  19. 19.
    Charness, N.: Aging and problem-solving performance. In: Charness, N. (ed.) Aging and Human Performance, pp. 225–259. Wiley, New York (1985)Google Scholar
  20. 20.
    McDowd, J.M., Vercruyssen, M., Birren, J.E.: Aging, divided attention, and dual-task performance. In: Multiple-Task Performance, pp. 387–414 (1991)Google Scholar
  21. 21.
    Vishwanath, A., Herath, T., Chen, R., Wang, J., Rao, H.R.: Why do people get phished? Testing individual differences in phishing vulnerability within an integrated, information processing model. Decis. Support Syst. 51, 576–586 (2011)CrossRefGoogle Scholar
  22. 22.
    Vishwanath, A., Harrison, B., Ng, Y.J.: Suspicion, cognition, and automaticity model of phishing susceptibility. Commun. Res., online pre-print, pp. 1–21 (2016)Google Scholar
  23. 23.
    Mata, R., Schooler, L.J., Rieskamp, J.: The aging decision maker: cognitive aging and the adaptive selection of decision strategies. Psychol. Aging 22(4), 796–810 (2007)CrossRefGoogle Scholar
  24. 24.
    Nasreddine, Z.S., Phillips, N.A., Bedirian, V., Charbonneau, S., Whitehead, V., Collin, I., Cummings, J.L., Chertkow, H.: The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment. J. Am. Geriatr. Soc. 53(4), 695–699 (2005)CrossRefGoogle Scholar
  25. 25.
    Cohen, J.: Statistical Power Analysis for the Behavioural Sciences. Lawrence Earlbaum Associates, Hillside (1988)zbMATHGoogle Scholar
  26. 26.
    Shneiderman, B., Plaisant, C., Cohen, M., Jacobs, S., Elmqvist, N.: Designing the User Interface: Strategies for Effective Human-Computer Interaction, 6th edn. Pearson, London (2016)Google Scholar
  27. 27.
    Nielsen, J.: Heuristic evaluation. In: Nielsen, J., Mack, R.L. (eds.) Usability Inspection Methods. Wiley, New York (1994)CrossRefGoogle Scholar
  28. 28.
    Farage, M.A., Miller, K.W., Ajayi, F., Hutchins, D.: Design principles to accommodate older adults. Global J. Health Sci. 4(2), 2–25 (2012)Google Scholar
  29. 29.
    Sharit, J., Czaja, S.J., Nair, S., Lee, C.C.: Effects of age, speech rate, and environmental support in using telephone voice menu systems. Hum. Factors 45(2), 234–251 (2003)CrossRefGoogle Scholar
  30. 30.
    Zaphiris, P., Kurniawan, S., Ghiawadwala, M.: A systematic approach to the development of research-based web design guidelines for older people. Univ. Access Inf. Soc. 6(1), 59–75 (2007)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2019

Authors and Affiliations

  1. 1.School of PsychologyCardiff UniversityCardiffUK
  2. 2.School of Experimental PsychologyUniversity of BristolBristolUK
  3. 3.University of the West of England – BristolBristolUK

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