Coping with Ageing Issues: Adoption and Appropriation of Technology by Older Adults in Singapore

  • Natalie PangEmail author
  • Xue Zhang
  • Pei Wen Law
  • Schubert Foo
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9755)


Older adults are facing various challenges while using technology. With an ageing society, it is desirable to develop senior-friendly innovations to empower older adults to lead enjoyable and fulfilling lives. This study examines ageing issues of older adults in Singapore and their coping strategies through adoption and appropriation of technology in the form of smartphones and wearable devices. Data was collected through in-depth interviews (10 participants) and focus groups (26 participants in 4 groups). Health problems, financial difficulties, loneliness and security concerns were the major ageing –related issues emerged from our analysis. The current status of technology use, adoption barriers and desired functions are discussed.


Ageing Technology adoption Older adults Smartphones Wearable devices 



This research is supported by the National Research Foundation, Prime Minister’s Office, Singapore under its International Research Centers in Singapore Funding Initiative and administered by the Interactive Digital Media Program Office.


  1. 1.
    Mitzner, T.L., et al.: Older adults talk technology: technology usage and attitudes. Comput. Hum. Behav. 26, 1710–1721 (2010)CrossRefGoogle Scholar
  2. 2.
    Czaja, S.J., Lee, C.: The impact of aging on access to technology. Univ. Access Inf. Soc. 5(4), 341–349 (2007)CrossRefGoogle Scholar
  3. 3.
    McConatha, J.T., et al.: Turkish and U.S. attitudes toward aging. Educ. Gerontol. 30, 169–183 (2004)CrossRefGoogle Scholar
  4. 4.
    Lasher, K.P., Faulkender, P.J.: Measurement of aging anxiety: development of the anxiety about aging scale. Int. J. Aging Hum. Dev. 37(4), 247–259 (1993)CrossRefGoogle Scholar
  5. 5.
    Bodine, C.: Aging well: the use of assistive technology to enhance the lives of elders. In: Stephanidis, C. (ed.) HCI 2007. LNCS, vol. 4554, pp. 861–867. Springer, Heidelberg (2007)Google Scholar
  6. 6.
    Charness, N., Boot, W.R.: Aging and information technology use: potential and barriers. Curr. Dir. Psychol. Sci. 18(5), 253–258 (2009)CrossRefGoogle Scholar
  7. 7.
    Bean, C.: Meeting the challenge: training an aging population to use computers. Southeast. Libr. 51(3), 17–26 (2003)MathSciNetGoogle Scholar
  8. 8.
    Karakas, S.: Digit span changes from puberty to old age under different levels of education. Dev. Neuropsychol. 22(2), 423–453 (2002)CrossRefGoogle Scholar
  9. 9.
    Gao, Q., Sato, H., Rau, P.-L.P., Asano, Y.: Design effective navigation tools for older web users. In: Jacko, J.A. (ed.) HCI 2007. LNCS, vol. 4550, pp. 765–773. Springer, Heidelberg (2007)Google Scholar
  10. 10.
    Li, H., et al.: Designing effective web forms for older web users. Educ. Gerontol. 38(4), 271–284 (2012)CrossRefGoogle Scholar
  11. 11.
    Killeen, C.: Loneliness: an epidemic in modern society. J. Adv. Nurs. 28(4), 762–770 (1998)CrossRefGoogle Scholar
  12. 12.
    Luo, Y., Waite, L.J.: Loneliness and mortality among older adults in China. J. Gerontol. Ser. B: Psychol. Sci. Soc. Sci. 69(4), 633–645 (2014)CrossRefGoogle Scholar
  13. 13.
    Heylen, L.: The older, the lonelier? risk factors for social loneliness in old age. Ageing Soc. 30, 1177–1196 (2010)CrossRefGoogle Scholar
  14. 14.
    Chen, Y., Hicks, A., While, A.E.: Loneliness and social support of older people in China: a systematic literature review. Health Soc. Care Community 22(2), 113–123 (2014)CrossRefGoogle Scholar
  15. 15.
    Diggs, J.: Activity theory of aging. In: Loue, S., Sajatovic, M. (eds.) Encyclopedia of Ageing and Publich Health, pp. 79–81. Springer, Boston (2008)CrossRefGoogle Scholar
  16. 16.
    Chou, K.L., Chi, I., Chow, N.W.S.: Sources of income and depression in elderly Hong Kong Chinese: mediating and moderating effects of social support and financial strain. Aging Ment. Health 8(3), 212–221 (2004)CrossRefGoogle Scholar
  17. 17.
    Litwin, H., Sapir, E.V.: Perceived income adequacy among older adults in 12 countries: findings from the survey of health. Ageing Retire. Eur. Gerontol. 49(3), 397–406 (2009)Google Scholar
  18. 18.
    Stoller, M.A., Stoller, E.P.: Perceived income adequacy among elderly retirees. J. Appl. Gerontol. 22, 230–251 (2003)CrossRefGoogle Scholar
  19. 19.
    Aldrige, E.: Digital Inclusion and Older People. Age Concern, Enfield (2004)Google Scholar
  20. 20.
    Nahm, E.S., Resnick, B.: Homebound older adults’ experience with the internet and e-mail. Comput. Nurs. 19, 257–263 (2001)Google Scholar
  21. 21.
    Miskelly, F.G.: Assistive technology in elderly care. Age Ageing 30, 455–458 (2001)CrossRefGoogle Scholar
  22. 22.
    Hill, R., Beynon-Davies, P., Williams, M.D.: Older people and internet engagement: acknowledging social moderators of internet adoption, access and use. Inf. Technol. People 21, 244–266 (2008)CrossRefGoogle Scholar
  23. 23.
    Ridings, C.M. Gefen, D.: Virtual community attraction: why people hang out online. J. Comput.-Mediat. Commun. 10(1) (2004)Google Scholar
  24. 24.
    Leist, A.K.: Social media use of older adults: a mini-review. Gerontology 59(4), 378–384 (2013)CrossRefGoogle Scholar
  25. 25.
    Dickinson, A., Gregor, P.: Computer use has no demonstrated impact on the well-being of older adults. Int. J. Hum.-Comput. Stud. 64, 744–753 (2006)CrossRefGoogle Scholar
  26. 26.
    Kobayashi, M., Hiyama, A., Miura, T., Asakawa, C., Hirose, M., Ifukube, T.: Elderly user evaluation of mobile touchscreen interactions. In: Campos, P., Graham, N., Jorge, J., Nunes, N., Palanque, P., Winckler, M. (eds.) INTERACT 2011, Part I. LNCS, vol. 6946, pp. 83–99. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  27. 27.
    Bruner, J.S., Goodnow, J.J., Austin, G.A.: A Study of Thinking. Wiley, New York (1956)Google Scholar
  28. 28.
    Salthouse, T.A.: Why do adult age differences increase with task complexity? Dev. Psychol. 28(5), 905–918 (1992)CrossRefGoogle Scholar
  29. 29.
    Finucane, M.L., et al.: Task complexity and older adults’ decision-making competence. Psychol. Aging 20(1), 71–84 (2005)CrossRefGoogle Scholar
  30. 30.
    Day, T. Bias against the elderly creates a negative view of aging (2010)Google Scholar
  31. 31.
    Cuddy, A.J., Fiske, S.T.: Doddering, but dear: process, content, and function in stereotyping of elderly people. In: Nelson, T.D. (ed.) Ageism, pp. 3–26. The MIT Press, Cambridge (2002)Google Scholar
  32. 32.
    Blaine, B.E.: Understanding the Psychology of Diversity, 2nd edn. SAGE Publications, Thousand Oaks (2013)Google Scholar
  33. 33.
    Chen, K., Chan, A.H.S.: A review of technology acceptance by older adults. Gerontechnology 10(1), 1–12 (2011)CrossRefGoogle Scholar
  34. 34.
    Yi, M.Y., Hwang, Y.: Predicting the use of web-based information systems: self-efficacy, enjoyment, learning goal orientation, and the technology acceptance model. Int. J. Hum Comput Stud. 59(4), 431–449 (2003)CrossRefGoogle Scholar
  35. 35.
    Guritnob, R.S., Siringoringo, H.: Perceived usefulness, ease of use, and attitude towards online shopping usefulness towards online airlines ticket purchase. Procedia – Soc. Behav. Sci. 81, 212–216 (2013)CrossRefGoogle Scholar
  36. 36.
    Kurniawan, S., Mahmud, M., Nugroho, Y.: A study of the use of mobile phones by older persons. In: Computer Human Interaction, Montreal, Canada (2006)Google Scholar
  37. 37.
    Mann, W.C., et al.: Use of cell phones by elders with impairments: overall appraisal, satisfaction, and suggestions. Technol. Disabil. 16(1), 49–57 (2004)Google Scholar
  38. 38.
    Herz, J.C.: Wearables are totally failing to people who need them most. Wired (2014).
  39. 39.
    Angelini, L., et al.: Human factors considerations in the design of wearable devices. In: ACM Conference on Pervasive and Ubiquitous Computing Adjunct Publication (2013)Google Scholar
  40. 40.
    Clarke, T.: Sync with the Pebble Watch. J. Prop. Manag. 78(3), 49 (2013)Google Scholar
  41. 41.
    MIO. Mio Alpha 2: Heart Rate Watch + Activity Tracker, 1 February 2016.
  42. 42.
    Flick, U.: The Sage Qualitative Research Kit. SAGE Publications, Los Angeles (2007)Google Scholar
  43. 43.
    Mock, S.E., Eibach, R.P.: Aging attitudes moderate the effect of subjective age on psychological well-being: evidence from a 10-year longitudinal study. Psychol. Aging 26(4), 979–986 (2011)CrossRefGoogle Scholar
  44. 44.
    Ghasemzadeh, H., Loseu, V., Jafari, R.: Structural action recognition in body sensor networks: distributed classification based on string matching. IEEE Trans. Inf. Technol. Biomed. 14(2), 425–435 (2010)CrossRefGoogle Scholar
  45. 45.
    Klack, L., Möllering, C., Ziefle, M., Schmitz-Rode, T.: Future care floor: a sensitive floor for movement monitoring and fall detection in home environments. In: Lin, J.C., Nikita, K.S. (eds.) MobiHealth 2010. LNICS, SITE, vol. 55, pp. 211–218. Springer, Heidelberg (2011)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Natalie Pang
    • 1
    Email author
  • Xue Zhang
    • 2
  • Pei Wen Law
    • 2
  • Schubert Foo
    • 1
  1. 1.Wee Kim Wee School of Communication and InformationNanyang Technological UniversitySingaporeSingapore
  2. 2.Center of Social Media Innovations for CommunitiesNanyang Technological UniversitySingaporeSingapore

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