Using the Smartphone to Support Successful Aging: Technology Acceptance with Selective Optimization and Compensation Among Older Adults

  • Yao SunEmail author
  • Margaret L. McLaughlin
  • Michael J. Cody
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9754)


Aging populations and the rapid dissemination of technological innovations both underscore the importance of the use and adoption of new technologies among older adults. Most studies have focused primarily on the barriers older adults face in adopting new technologies without paying much attention to how seniors might purposefully make use of new technologies to handle age-related changes. In this study, we filled both theoretical and empirical gaps by focusing on the roles smartphones might play in helping older adults handle challenges in their daily lives. Drawing upon a web-based survey of older adults 55–75 years old, our study revealed that having a positive attitude is key to successful aging and that this positive attitude toward aging motivates the elderly to utilize smartphones to compensate for aging-related deficits in daily life. We conclude our paper with a discussion of the theoretical implications of these results and directions for future research.


Aging Smartphone Deficit Technology acceptance Selective optimization with compensation 


  1. 1.
    Adams, D.A., Nelson, R.R., Todd, P.A.: Perceived usefulness, ease of use, and usage of information technology: a replication. MIS Q. 16, 227–247 (1992)CrossRefGoogle Scholar
  2. 2.
    Ardelt, M.: Antecedents and effects of wisdom in old age a longitudinal perspective on aging well. Res. Aging 22(4), 360–394 (2000)CrossRefGoogle Scholar
  3. 3.
    Baltes, P.B.: On the incomplete architecture of human ontogeny: selection, optimization, and compensation as foundation of developmental theory. Am. Psychol. 52(4), 366 (1997)CrossRefGoogle Scholar
  4. 4.
    Baltes, P.B., Baltes, M.M.: Psychological perspectives on successful aging: the model of selective optimization with compensation. Successful Aging: Perspect. Behav. Sci. 1, 1–34 (1990)CrossRefGoogle Scholar
  5. 5.
    Baltes, M.M., Carstensen, L.L.: The process of successful ageing. Ageing Soc. 16(04), 397–422 (1996)CrossRefGoogle Scholar
  6. 6.
    Baltes, M.M., Lang, F.R.: Everyday functioning and successful aging: the impact of resources. Psychol. Aging 12(3), 433 (1997)CrossRefGoogle Scholar
  7. 7.
    Becker, G.: Age bias in stroke rehabilitation: effects on adult status. J. Aging Stud. 8(3), 271–290 (1994)CrossRefGoogle Scholar
  8. 8.
    Calabria, M., Manenti, R., Rosini, S., Zanetti, O., Miniussi, C., Cotelli, M.: Objective and subjective memory impairment in elderly adults: a revised version of the Everyday Memory Questionnaire. Aging Clin. Exp. Res. 23(1), 67–73 (2011)CrossRefGoogle Scholar
  9. 9.
    Cotelli, M., Calabria, M., Manenti, R., Rosini, S., Zanetti, O., Cappa, S.F., Miniussi, C.: Improved language performance in Alzheimer disease following brain stimulation. J. Neurol. Neurosurg. Psychiatry 82(7), 794–797 (2011)CrossRefGoogle Scholar
  10. 10.
    Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 13, 319–340 (1989)CrossRefGoogle Scholar
  11. 11.
    Duay, D.L., Bryan, V.C.: Senior adults’ perceptions of successful aging. Educ. Gerontol. 32, 423–445 (2006)CrossRefGoogle Scholar
  12. 12.
    Ebner, N.C., Freund, A.M., Baltes, P.B.: Developmental changes in personal goal orientation from young to late adulthood: from striving for gains to maintenance and prevention of losses. Psychol. Aging 21(4), 664 (2006)CrossRefGoogle Scholar
  13. 13.
    Eastman, J.K., Iyer, R.: The elderly’s uses and attitudes towards the Internet. J. Consum. Mark. 21(3), 208–220 (2004)CrossRefGoogle Scholar
  14. 14.
    Fishbein, M., Ajzen, I.: Predicting and Changing Behavior: The Reasoned Action Approach. Taylor & Francis, New York (2011)Google Scholar
  15. 15.
    Freund, A.M., Baltes, P.B.: Life-management strategies of selection, optimization and compensation: measurement by self-report and construct validity. J. Pers. Soc. Psychol. 82(4), 642 (2002)CrossRefGoogle Scholar
  16. 16.
    Freund, A.M.: Successful aging as management of resources: The role of selection, optimization, and compensation. Res. Hum. Dev. 5(2), 94–106 (2008)CrossRefGoogle Scholar
  17. 17.
    Freund, A.M.: Age-differential motivational consequences of optimization versus compensation focus in younger and older adults. Psychol. Aging 21(2), 240 (2006)CrossRefGoogle Scholar
  18. 18.
    Gefen, D., Karahanna, E., Straub, D.W.: Trust and TAM in online shopping: an integrated model. MIS Q. 27(1), 51–90 (2003)Google Scholar
  19. 19.
    Grønland, M.: User Acceptance of Information Technology: An Empirical Study of It’s Learning. Master Thesis, Norwegian University of Science and Technology (2010)Google Scholar
  20. 20.
    Guse, L.W., Masesar, M.A.: Quality of life and successful aging in long-term care: perceptions of residents. Issues Mental Health Nurs. 20(6), 527–539 (1999)CrossRefGoogle Scholar
  21. 21.
    Hayes, A.F.: Beyond Baron and Kenny: statistical mediation analysis in the new millennium. Commun. Monogr. 76(4), 408–420 (2009)CrossRefGoogle Scholar
  22. 22.
    Hill, C.M., Solomon, C.J., Gibson, S.J.: Aging the human face-A statistically rigorous approach. In: The IEE International Symposium on Imaging for Crime Detection and Prevention, ICDP 2005, pp. 89–94. IET, June 2005Google Scholar
  23. 23.
    Hong, S., Thong, J.Y., Tam, K.Y.: Understanding continued information technology usage behavior: a comparison of three models in the context of mobile internet. Decis. Support Syst. 42(3), 1819–1834 (2006)CrossRefGoogle Scholar
  24. 24.
    Hu, P.J., Chau, P.Y., Sheng, O.R.L., Tam, K.Y.: Examining the technology acceptance model using physician acceptance of telemedicine technology. J. Manage. Inf. Syst. 16, 91–112 (1999)CrossRefGoogle Scholar
  25. 25.
    Iecovich, E., Isralowitz, R.E.: Visual impairments, functional and health status, and life satisfaction among elderly Bedouins in Israel. Ageing Intl. 29(1), 71–87 (2004)CrossRefGoogle Scholar
  26. 26.
    Jung, Y., Peng, W., Moran, M., Jin, S.A.A., McLaughlin, M., Cody, M., Silverstein, M.: Low-income minority seniors’ enrollment in a cybercafé: psychological barriers to crossing the digital divide. Educ. Gerontol. 36(3), 193–212 (2010)CrossRefGoogle Scholar
  27. 27.
    Kim, S.H.: Moderating effects of job relevance and experience on mobile wireless technology acceptance: adoption of a smartphone by individuals. Inf. Manag. 45(6), 387–393 (2008)CrossRefGoogle Scholar
  28. 28.
    Konana, P., Balasubramanian, S.: The social–economic–psychological model of technology adoption and usage: an application to online investing. Decis. Support Syst. 39(3), 505–524 (2005)CrossRefGoogle Scholar
  29. 29.
    Kwon, H.S., Chidambaram, L.: A test of the technology acceptance model: the case of cellular telephone adoption. In: Proceedings of the 33rd Annual Hawaii International Conference on System Sciences, p. 7. IEEE, January 2000Google Scholar
  30. 30.
    Lawton, M.P., Brody, E.M.: Assessment of older people self maintaining and instrumental activities of daily living. Nurs. Res. 19(3), 278 (1970)CrossRefGoogle Scholar
  31. 31.
    Levy, B.R., Slade, M.D., Kunkel, S.R., Kasl, S.V.: Longevity increased by positive self-perceptions of aging. J. Pers. Soc. Psychol. 83(2), 261 (2002)CrossRefGoogle Scholar
  32. 32.
    Levy, B.R., Slade, M.D., Kasl, S.V.: Longitudinal benefit of positive self-perceptions of aging on functional health. J. Gerontol. Ser. B: Psychol. Sci. Soc. Sci. 57(5), P409–P417 (2002)CrossRefGoogle Scholar
  33. 33.
    Levy, B.R.: Mind matters: cognitive and physical effects of aging self-stereotypes. J. Gerontol. Ser. B: Psychol. Sci. Soc. Sci. 58(4), P203–P211 (2003)CrossRefGoogle Scholar
  34. 34.
    Li, K.Z., Lindenberger, U., Freund, A.M., Baltes, P.B.: Walking while memorizing: age-related differences in compensatory behavior. Psychol. Sci. 12(3), 230–237 (2001)CrossRefGoogle Scholar
  35. 35.
    Lu, J., Yu, C.S., Liu, C., Yao, J.E.: Technology acceptance model for wireless Internet. Internet Res. 13(3), 206–222 (2003)CrossRefGoogle Scholar
  36. 36.
    Mart, T., Fiorella, M., Heidrun, M., Isto, R., Zsuzsa, S.: Temporal aspects of the out-of-home activities of elderly people. In: The International MOBILATE Survey: Enhancing Mobility in Later Life. Conference paper presented at the 10th International Conference on Travel Behaviour Resaerch, Lucerne, pp. 10–15, August 2003Google Scholar
  37. 37.
    Mollenkopf, H.: Ageing and Outdoor Mobility: A European Study, vol. 13. IOS Press, Amsterdam (2004)Google Scholar
  38. 38.
    Nobel, W.G.: The hearing measurement scale as a paper-pencil form: preliminary results. Ear Hear. 5(2), 95–106 (1979)Google Scholar
  39. 39.
    Rapp, M.A., Krampe, R.T., Baltes, P.B.: Adaptive task prioritization in aging: selective resource allocation to postural control is preserved in Alzheimer disease. Am. J. Geriatr. Psychiatry 14(1), 52–61 (2006)CrossRefGoogle Scholar
  40. 40.
    Rogers, W., Fisk, A.D.: Human factors, applied ognition, and aging. In: Craik, F.I.M., Salthouse, T.A. (eds.) The Handbook of Aging and Cognition, 2nd edn. Lawrence Erlbaum Associates Publishers, Mahwah (2000)Google Scholar
  41. 41.
    Rowe, J.W., Kahn, R.L.: Human aging: usual and successful. Science 237(4811), 143–149 (1987)CrossRefGoogle Scholar
  42. 42.
    Rowe, J.W., Kahn, R.L.: Successful aging: The MacArthur Foundation Study. Pantheon, New York (1998)Google Scholar
  43. 43.
    Slagle, C.: Psychometric construction and validation of a measure of positive aging. Doctoral Dissertation, The University of Utah (2011)Google Scholar
  44. 44.
    Strawbridge, W.J., Wallhagen, M.I., Cohen, R.D.: Successful aging and well-being self-rated compared with Rowe and Kahn. Gerontologist 42(6), 727–733 (2002)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Yao Sun
    • 1
    Email author
  • Margaret L. McLaughlin
    • 1
  • Michael J. Cody
    • 1
  1. 1.University of Southern CaliforniaLos AngelesUSA

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