Successful Aging among Older Adults Using Computers: a Systematic Review


  • Murtaja Ali Saare
  • Azham Hussain
  • . .





Benefits of using technology, Older adults, Technology adoption, Successful aging.


Recently, most of the previous studies focused on technology use and adoption among adults.  However, few studies have been conducted on older adults. More specifically the emphasis is on the problems in different areas i.e. health care, housing, education, employment, and product design.  Therefore, in this study, a systematic literature is taken into account where it includes multiple databases with a cut-off starting point of 2007 to 2017 that empirically examined predictors of successful aging of older adults to investigate current empirical studies. This study found that the use technology such as automatic teller machines (ATM) or VCRs are the predictor of use of computers. Moreover, older adults are likely to adopt to new technology when they recognize potential benefits. It is expected that the consolidated literature will serves as a guideline for future studies.




[1] P. Whiteford and E. Whitehouse, “Pension challenges and pension reforms in OECD countries,†Oxford Rev. Econ. policy, vol. 22, no. 1, pp. 78–94, 2006.

[2] A. D. Fisk, S. J. Czaja, W. A. Rogers, N. Charness, and J. Sharit, Designing for older adults: Principles and creative human factors approaches. CRC press, 2009.

[3] D. Hawthorn, “Possible implications of aging for interface designers,†Interact. Comput., vol. 12, no. 5, pp. 507–528, 2000.

[4] R. Eisma, A. Dickinson, J. Goodman, A. Syme, L. Tiwari, and A. F. Newell, “Early user involvement in the development of information technology-related products for older people,†Univers. Access Inf. Soc., vol. 3, no. 2, pp. 131–140, 2004.

[5] C. Lee and J. F. Coughlin, “Perspective: older adults’ adoption of technology: an integrated approach to identifying determinants and barriers,†J. Prod. Innov. Manag., vol. 32, no. 5, pp. 747–759, 2015.

[6] C. D. Hopkins, C. A. Roster, and C. M. Wood, “Making the transition to retirement: appraisals, post-transition lifestyle, and changes in consumption patterns,†J. Consum. Mark., vol. 23, no. 2, pp. 87–99, 2006.

[7] J. Niemelä-Nyrhinen, “Baby boom consumers and technology: shooting down stereotypes,†J. Consum. Mark., vol. 24, no. 5, pp. 305–312, 2007.

[8] T. A. Hart, B. S. Chaparro, and C. G. Halcomb, “Evaluating websites for older adults: adherence to ‘senior-friendly’guidelines and end-user performance,†Behav. Inf. Technol., vol. 27, no. 3, pp. 191–199, 2008.

[9] F. C. Alliance, “What is long-term care,†Retrieved August, vol. 10, p. 2008, 2005.

[10] K. Slegers, M. P. J. Van Boxtel, and J. Jolles, “Effects of computer training and Internet usage on the well-being and quality of life of older adults: A randomized, controlled study,†journals Gerontol. Ser. B Psychol. Sci. Soc. Sci., vol. 63, no. 3, pp. P176–P184, 2008.

[11] B. Xie, “Older Chinese, the Internet, and well-being,†Care Manag. Journals, vol. 8, no. 1, pp. 33–38, 2007.

[12] S. J. Czaja and C. C. Lee, Information technology and older adults. CRC Press, 2009.

[13] P. Willis, “Lifelong Learning, Adult Education, and Democratic Values: Evoking and Shaping an Inclusive Imagination,†Values Educ. Lifelong Learn., pp. 380–394, 2007.

[14] A. Hussain, H. I. Abubakar, and N. B. Hashim, “Evaluating mobile banking application: Usability dimensions and measurements,†in Information Technology and Multimedia (ICIMU), 2014 International Conference on, 2014, pp. 136–140.

[15] A. Hussain, E. O. C. Mkpojiogu, and F. M. Kamal, “A Systematic Review on Usability Evaluation Methods for M-Commerce Apps,†J. Telecommun. Electron. Comput. Eng., vol. 8, no. 10, pp. 29–34, 2016.

[16] P. de Leusse, P. Periorellis, T. Dimitrakos, and S. K. Nair, “Self Managed Security Cell, a security model for the Internet of Things and Services,†in Advances in Future Internet, 2009 First International Conference on, 2009, pp. 47–52.

[17] S. M. Noar and N. G. Harrington, “eHealth Applications,†EHEALTH Appl., p. 1, 2012.

[18] C. Dedding, R. van Doorn, L. Winkler, and R. Reis, “How will e-health affect patient participation in the clinic? A review of e-health studies and the current evidence for changes in the relationship between medical professionals and patients,†Soc. Sci. Med., vol. 72, no. 1, pp. 49–53, 2011.

[19] N. Wagner, K. Hassanein, and M. Head, “Computer use by older adults: A multi-disciplinary review,†Comput. Human Behav., vol. 26, no. 5, pp. 870–882, 2010.

[20] B. Xie, “Multimodal Computerâ€Mediated Communication and Social Support among Older Chinese Internet Users,†J. Comput. Commun., vol. 13, no. 3, pp. 728–750, 2008.

[21] Y. Wang, M. Wu, and H. Wang, “Investigating the determinants and age and gender differences in the acceptance of mobile learning,†Br. J. Educ. Technol., vol. 40, no. 1, pp. 92–118, 2009.

[22] B. D. Carpenter and S. Buday, “Computer use among older adults in a naturally occurring retirement community,†Comput. Human Behav., vol. 23, no. 6, pp. 3012–3024, 2007.

[23] R. L. Rosenthal, “Older computer-literate women: Their motivations, obstacles, and paths to success,†Educ. Gerontol., vol. 34, no. 7, pp. 610–626, 2008.

[24] N. Charness and W. R. Boot, “Aging and information technology use: Potential and barriers,†Curr. Dir. Psychol. Sci., vol. 18, no. 5, pp. 253–258, 2009.

[25] M. A. Mahfuz, L. Khanam, and W. Hu, “The influence of culture on m-banking technology adoption: An integrative approaches of UTAUT2 and ITM,†in Management of Engineering and Technology (PICMET), 2016 Portland International Conference on, 2016, pp. 824–835.

[26] E. W. T. Ngai, J. K. L. Poon, and Y. H. C. Chan, “Empirical examination of the adoption of WebCT using TAM,†Comput. Educ., vol. 48, no. 2, pp. 250–267, 2007.

[27] M. Castells, M. Fernandez-Ardevol, J. L. Qiu, and A. Sey, Mobile communication and society: A global perspective. Mit Press, 2009.

[28] S. Kulviwat, G. C. Bruner, and O. Al-Shuridah, “The role of social influence on adoption of high tech innovations: The moderating effect of public/private consumption,†J. Bus. Res., vol. 62, no. 7, pp. 706–712, 2009.

[29] M.-C. Lee, “Factors influencing the adoption of internet banking: An integration of TAM and TPB with perceived risk and perceived benefit,†Electron. Commer. Res. Appl., vol. 8, no. 3, pp. 130–141, 2009.

[30] J. E. Chung, N. Park, H. Wang, J. Fulk, and M. McLaughlin, “Age differences in perceptions of online community participation among non-users: An extension of the Technology Acceptance Model,†Comput. Human Behav., vol. 26, no. 6, pp. 1674–1684, 2010.

[31] E. W. T. Ngai and A. Gunasekaran, “A review for mobile commerce research and applications,†Decis. Support Syst., vol. 43, no. 1, pp. 3–15, 2007.

[32] V. Venkatesh, J. Y. L. Thong, and X. Xu, “Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology,†2012.

[33] I. Szmigin, M. Carrigan, and M. G. McEachern, “The conscious consumer: taking a flexible approach to ethical behaviour,†Int. J. Consum. Stud., vol. 33, no. 2, pp. 224–231, 2009.

[34] S. J. Czaja, C. C. Lee, S. N. Nair, and J. Sharit, “Older adults and technology adoption,†in Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 2008, vol. 52, no. 2, pp. 139–143.

[35] M. Conci, F. Pianesi, and M. Zancanaro, “Useful, social and enjoyable: Mobile phone adoption by older people,†in IFIP Conference on Human-Computer Interaction, 2009, pp. 63–76.

[36] J. F. Coughlin, “Understanding the Janus face of technology and ageing: Implications for older consumers, business innovation and society,†Int. J. Emerg. Technol. Soc., vol. 8, no. 2, p. 62, 2010.

[37] R. Steele, A. Lo, C. Secombe, and Y. K. Wong, “Elderly persons’ perception and acceptance of using wireless sensor networks to assist healthcare,†Int. J. Med. Inform., vol. 78, no. 12, pp. 788–801, 2009.

[38] T. Reisenwitz, R. Iyer, D. B. Kuhlmeier, and J. K. Eastman, “The elderly’s internet usage: an updated look,†J. Consum. Mark., vol. 24, no. 7, pp. 406–418, 2007.

[39] K. Arning and M. Ziefle, “Understanding age differences in PDA acceptance and performance,†Comput. Human Behav., vol. 23, no. 6, pp. 2904–2927, 2007.

[40] T. L. Mitzner, J. B. Boron, C. B. Fausset, A. E. Adams, N. Charness, S. J. Czaja, K. Dijkstra, A. D. Fisk, W. A. Rogers, and J. Sharit, “Older adults talk technology: Technology usage and attitudes,†Comput. Human Behav., vol. 26, no. 6, pp. 1710–1721, 2010.

[41] S. Kurniawan, “Older people and mobile phones: A multi-method investigation,†Int. J. Hum. Comput. Stud., vol. 66, no. 12, pp. 889–901, 2008.

[42] K. Walsh and A. Callan, “Perceptions, preferences, and acceptance of information and communication technologies in older-adult community care settings in Ireland: A case-study and ranked-care program analysis,†Ageing Int., vol. 36, no. 1, pp. 102–122, 2011.

[43] A. Hussain and E. O. C. Mkpojiogu, “The effect of responsive web design on the user experience with laptop and Smartphone devices,†J. Teknol., vol. 77, no. 4, pp. 41–47, 2015.

[44] S. Petrina, F. Feng, and J. Kim, “Researching cognition and technology: How we learn across the lifespan,†Int. J. Technol. Des. Educ., vol. 18, no. 4, pp. 375–396, 2008.

[45] V. Venkatesh and H. Bala, “Technology acceptance model 3 and a research agenda on interventions,†Decis. Sci., vol. 39, no. 2, pp. 273–315, 2008.

[46] G. Demiris, B. K. Hensel, M. Skubic, and M. Rantz, “Senior residents’ perceived need of and preferences for ‘smart home’ sensor technologies,†Int. J. Technol. Assess. Health Care, vol. 24, no. 1, pp. 120–124, 2008.

[47] A. Wang, L. Redington, V. Steinmetz, and D. Lindeman, “The ADOPT model: Accelerating diffusion of proven technologies for older adults,†Ageing Int., vol. 36, no. 1, pp. 29–45, 2011.

[48] S. Sayago and J. Blat, “About the relevance of accessibility barriers in the everyday interactions of older people with the web,†in Proceedings of the 2009 International Cross-Disciplinary Conference on Web Accessibililty (W4A), 2009, pp. 104–113.

[49] T. Wang-Chin, W. A. Rogers, and L. Chang-Franw, “Older adults’ motivations, patterns, and improvised strategies of using product manuals,†Int. J. Des., vol. 6, no. 2, 2012.

[50] L. Huber and C. Watson, “Technology: Education and training needs of older adults,†Educ. Gerontol., vol. 40, no. 1, pp. 16–25, 2014.

[51] M. Gurian, The wonder of aging: A new approach to embracing life after fifty. Simon and Schuster, 2013.

[52] M. Anderson, “For Vast Majority of Seniors Who Own One, a Smartphone Equals ‘Freedom,’†Pew Res. Cent., 2015.

[53] S. H. Fischer, D. David, B. H. Crotty, M. Dierks, and C. Safran, “Acceptance and use of health information technology by community-dwelling elders,†Int. J. Med. Inform., vol. 83, no. 9, pp. 624–635, 2014.

[54] A. O. Association, “Computer vision syndrome,†Am. Optom. Assoc., 2015.

[55] A. A. M. Torricelli, J. B. Junior, M. R. Santhiago, and S. J. Bechara, “Surgical management of presbyopia,†Clin. Ophthalmol. (Auckland, NZ), vol. 6, p. 1459, 2012.

[56] P. Calak, “Smartphone Evaluation Heuristics for Older Adults.†2013.

[57] S. J. Czaja, W. R. Boot, N. Charness, W. A. Rogers, J. Sharit, A. D. Fisk, C. C. Lee, and S. N. Nair, “The personalized reminder information and social management system (PRISM) trial: rationale, methods and baseline characteristics,†Contemp. Clin. Trials, vol. 40, pp. 35–46, 2015.

[58] S. J. Czaja and C. C. Lee, “The impact of aging on access to technology,†Univers. Access Inf. Soc., vol. 5, no. 4, p. 341, 2007.

[59] C. M. Blaschke, P. P. Freddolino, and E. E. Mullen, “Ageing and technology: A review of the research literature,†Br. J. Soc. Work, vol. 39, no. 4, pp. 641–656, 2009.

[60] M. Duggan and J. Brenner, The demographics of social media users, 2012, vol. 14. Pew Research Center’s Internet & American Life Project Washington, DC, 2013.

View Full Article: