The Impact of Age on User Performance: A Field Experiment

References

• Rosales A, Fernández-Ardèvol M. Ageism in the era of digital platforms. Convergence Int J Res New Media Technol. 2020;26(5–6):1074–87. doi:10.1177/1354856520930905.
   Web of Science ®Google Scholar
• Mariano J, Marques S, Ramos M, Gerardo F, de Vries H. Too old for computers? The longitudinal relationship between stereotype threat and computer use by older adult. Front Psychol. 2020;11:2641.
   Web of Science ®Google Scholar
• Hiscox. Ageism in the workplace study. New York (New York). 2019; [accessed 2022 March 31]. https://www.hiscox.com/documents/2019-Hiscox-Ageism-Workplace-Study.pdf
   Google Scholar
• Visier. The truth about ageism in the tech industry. 2017. [accessed 2022 March 31]. https://hello.visier.com/truth-about-ageism-tech-visier-insights-report
   Google Scholar
• Calzavara M, Battini D, Bogataj D, Sgarbossa F, Zennaro I. Ageing workforce management in manufacturing systems: state of the art and future research agenda. Int J Prod Res. 2020;58(3):729–47. doi:10.1080/00207543.2019.1600759.
   Web of Science ®Google Scholar
• Oppert ML, O’Keeffe V. The future of the ageing workforce in engineering: relics or resources? Aust J Multi-Discip Eng. 2019;15(1):100–11. doi:10.1080/14488388.2019.1666621.
   Google Scholar
• Tams S, Hill K. Helping an old workforce interact with modern IT: a NeuroIS approach to understanding technostress and technology use in older workers. In: Information Systems and Neuroscience. Davis, F. D., Riedl, R., vom Brocke, J., Leger, P-M., Randolf, A. B. Cham, Switzerland: Springer; 2017. p. 19–26.
   Google Scholar
• Blau DM, Weinberg BA. Why the US science and engineering workforce is aging rapidly. Proc Nat Acad Sci. 2017;114(15):3879–84. doi:10.1073/pnas.1611748114.
   PubMed Web of Science ®Google Scholar
• Karr JE, Graham RB, Hofer SM, Muniz-Terrera G. When does cognitive decline begin? A systematic review of change point studies on accelerated decline in cognitive and neurological outcomes preceding mild cognitive impairment, dementia, and death. Psychol Aging. 2018;33(2):195–218. doi:10.1037/pag0000236.
   PubMed Web of Science ®Google Scholar
• Salthouse T. When does age-related cognitive decline begin? Neurobiol Aging. 2009;30(4):507–14. doi:10.1016/j.neurobiolaging.2008.09.023.
   PubMed Web of Science ®Google Scholar
• Choi EY, Kim Y, Chipalo E, Lee HY, Meeks S. Does perceived ageism widen the digital divide? And does it vary by gender? Gerontologist. 2020;60(7):1213–23. doi:10.1093/geront/gnaa066.
   PubMed Web of Science ®Google Scholar
• Lévesque F, Chiasson S, Somayaji A, Fernandez J. Technological and human factors of malware attacks: a computer security clinical trial approach. ACM Trans Privacy Security. 2018;21(4):1–30. doi:10.1145/3210311. Article 18.
   Web of Science ®Google Scholar
• Wagner N, Hassanein K, Head M. The impact of age on website usability. Comput Human Behav. 2014;37:270–82. doi:10.1016/j.chb.2014.05.003.
   Web of Science ®Google Scholar
• Awwal MA. Influence of age and genders on the relationship between computer self-efficacy and information privacy concerns. Int J Technol Human Interact. 2012;8(1):14–37. doi:10.4018/jthi.2012010102.
   Google Scholar
• Klimova B. Computer-based cognitive training in aging. Front Aging Neurosci. 2016;8:Article 313. doi:10.3389/fnagi.2016.00313.
   PubMed Web of Science ®Google Scholar
• Pereira-Morales AJ, Cruz-Salinas AF, Aponte J, Pereira-Manrique F. Efficacy of a computer-based cognitive training program in older people with subjective memory complaints: a randomized study. Int J Neurosci. 2018;128(1):1–9. doi:10.1080/00207454.2017.1308930.
   PubMed Web of Science ®Google Scholar
• Taylor MA, Bisson JB. Changes in cognitive function: practical and theoretical considerations for training the aging workforce. Human Resour Manage Rev. 2020;30(2):100684. doi:10.1016/J.HRMR.2019.02.001. Corpus ID: 151290754.
   Web of Science ®Google Scholar
• Vaportzis E, Clausen MG, Gow AJ. Older adults’ perceptions of technology and barriers to interacting with tablet computers: a focus group study. Front Psychol. 2017;8:1687. doi:10.3389/fpsyg.2017.01687.
   PubMed Web of Science ®Google Scholar
• Davis F, Bogozzi R, Warshaw P. User acceptance of computer technology: a comparison of two theoretical models. Manage Sci. 1989;35(8):982–1003. doi:10.1287/mnsc.35.8.982.
   Web of Science ®Google Scholar
• Venkatesh V, Davis F. A theoretical extension of the technology acceptance model: four longitudinal field studies. Manage Sci. 2000;46(2):186–204. doi:10.1287/mnsc.46.2.186.11926.
   Web of Science ®Google Scholar
• Goodhue D, Thompson R. Task technology fit and individual performance. MIS Quarterly. 1995;19(2):213–36. doi:10.2307/249689.
   Web of Science ®Google Scholar
• Venkatesh V, Morris M, Davis F, Davis G. User acceptance of information technology: toward a unified view. MIS Quarterly. 2003;27(3):425–78. doi:10.2307/30036540.
   Web of Science ®Google Scholar
• Tam C, Oliveira T. Performance impact of mobile banking: using the task-technology fit (TTF) approach. Int J Bank Marketing. 2016;34(4):434–57. doi:10.1108/IJBM-11-2014-0169.
   Web of Science ®Google Scholar
• Murakami Y, Tsunoda M, Uwano H. WAP: does reviewer age affect code review performance? 2017 IEEE 28th International Symposium on Software Reliability Engineering (ISSRE); 2017:164–69. Toulouse, France: IEEE.
   Google Scholar
• Morrison P, Murphy-Hill E. Is programming knowledge related to age? An exploration of stack overflow. 10th IEEE Working Conference on Mining Software Repositories (MSR 2013). San Francisco, CA;2013:69–72.
   Google Scholar
• Bandura A. Self-efficacy: the exercise of control. New York (NY): Freeman; 1997.
   Google Scholar
• Sax L, Lehman KJ, Jacobs JA, Kanny MA, Lim G, Monje-Paulson L, Zimmerman HB. Anatomy of an enduring gender gap: the evolution of women’s participation in computer science. J Higher Educ. 2017;88(2):258–93. doi:10.1080/00221546.2016.1257306.
   Web of Science ®Google Scholar
• Lent RW, Brown SD, Hackett G. Social cognitive career theory. In: Brown D, Associates, editor. Career choice and behavior. San Francisco (CA): Jossey Bass; 2002. p. 255–311.
   Google Scholar
• Ajzen I. Perceived behavioral control, self-efficacy, locus of control, and the theory of planned behavior. J Appl Soc Psychol. 2002;32(4):665–83. doi:10.1111/j.1559-1816.2002.tb00236.x.
   Web of Science ®Google Scholar
• Ball DM, Levy Y. Emerging educational technology: assessing the factors that influence instructors’ acceptance in information systems and other classrooms. J Inf Syst Educ. 2008;19:431–44.
   Google Scholar
• Marakas G, Johnson R, Clay P. The evolving nature of the computer self-efficacy construct: an empirical investigation of measurement construction, validity, reliability and stability over time. J Assoc Inf Syst. 2007;8(1):16–46. doi:10.17705/1jais.00112. Article 2.
   Web of Science ®Google Scholar
• Paquette L, Kida T. The effect of decision strategy and task complexity on decision performance. Organ Behav Hum Decis Process. 1988;41(1):128–42. doi:10.1016/0749-5978(88)90051-9.
   Web of Science ®Google Scholar
• Liu P, Li Z. Task complexity: a review and conceptualization framework. Int J Ind Ergon. 2012;42(6):553–68. doi:10.1016/j.ergon.2012.09.001.
   Web of Science ®Google Scholar
• Saastamoinen M, Jarvelin K. Relationships between work task types, complexity and dwell time of information resources. J Inf Sci. 2018;44:265–84.
   Web of Science ®Google Scholar
• Liberatore M, Titus G, Dixon P. The effects of display formats on information systems design. J Manage Inf Syst. 1988;5(3):85–99. doi:10.1080/07421222.1988.11517834.
   Google Scholar
• Liberatore M, Titus G, Varano M, Dixon P. An experimental investigation of the effects of some information system design variables on performance, preference and learning. Inf Process Manag. 1989;25(5):563–77. doi:10.1016/0306-4573(89)90026-5.
   Web of Science ®Google Scholar
• Speier C. The influence of information presentation formats on complex task decision-making performance. Int J Hum Comput Stud. 2006;64(11):1115–31. doi:10.1016/j.ijhcs.2006.06.007.
   Web of Science ®Google Scholar
• Speier C, Morris M. The influence of query interface design on decision-making performance. MIS Quarterly. 2003;27(3):397–423. doi:10.2307/30036539.
   Web of Science ®Google Scholar
• Vollmeyer R, Imhof M. Are there gender differences in computer performance? If so, can motivation explain them? Zeitschrift für Pädagogische Psychol. 2007;21(3/4):251–61. doi:10.1024/1010-0652.21.3.251.
   Web of Science ®Google Scholar
• Liberatore M, Wagner W. User performance on laptops vs. tablets: an experiment in the field. Behav Inf Technol. 2021:1–9. doi:10.1080/0144929X.2021.1956589.
   Web of Science ®Google Scholar
• Liberatore M, Wagner W. Gender, performance, and self-efficacy: a quasi-experimental field study. J Comput Inf Syst. 2022;62(1):109–17. doi:10.1080/08874417.2020.1717397.
   Web of Science ®Google Scholar
• Wood R. Task complexity: definition of the construct. Organ Behav Hum Decis Process. 1986;37(1):60–82. doi:10.1016/0749-5978(86)90044-0.
   Web of Science ®Google Scholar
• Chan MY, Haber S, Drew LM, Park DC. Training older adults to use tablet computers: does it enhance cognitive function? Gerontologist. 2016;56(3):475–84. doi:10.1093/geront/gnu057.
   PubMed Web of Science ®Google Scholar
• Charness N. Can acquired skill and technology mitigate age-related declines in learning rate? In: Current and emerging trends in aging and work. Czaja, S.J., Sharit, J., James, J.B. Cham, Switzerland: Springer; 2020. p. 243–57.
   Google Scholar
• Mondini S, Madella I, Zangrossi A, Bigolin A, Tomasi C, Michieletto M, Mapelli D, Di Giovanni G, Mapelli D. Cognitive reserve in dementia: implications for cognitive training. Front Aging Neurosci. 2016;8:article 84. doi:10.3389/fnagi.2016.00084.
   PubMed Web of Science ®Google Scholar
• Acosta CO, Palacio RR, Cortez J, Echeverría SB, Rodríguez-Fórtiz MJ. Effects of a cognitive stimulation software on attention, memory, and activities of daily living in Mexican older adults. Univ Acce2ss Inf Soc. 2020;1–11. doi:10.1007/s10209-020-00776-x.
   Google Scholar