Family Channel: Accessible Social Media for Older Adults

  • Christopher Romanyk
  • Pejman SalehiEmail author
  • Joseph Sant
  • Lia Tsotsos
  • Ricardo Chavez
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 528)


Isolation is a well-known problem amongst the elderly. This isolation might be ameliorated by engaging the elderly in social media. Unfortunately, the devices most commonly used to access social media (PCs, tablets, and phones) might not be the most appropriate for this demographic. A more appropriate device might be television. Using modern technology, it is possible to aggregate specially tagged social media posts from friends and family and narrow-cast it to other family members. Our research involves creating a television-based social media channel that is appropriate for the elderly. We present our initial work which involves developing a proof-of-concept for the Family Channel and identifying user profiles for the 65+ demographic with respect to technology use.


Human computer interaction Aging Social media 



This work has been powered by the TELUS.


  1. 1.
    Richards, M., Touchon, J., Ledesert, B., Richie, K.: Cognitive decline in ageing: are AAMI and AACD distinct entities? Int. J. Geriatr. Psychiatry 14(7), 534–540 (1999)CrossRefGoogle Scholar
  2. 2.
    Human Resources and Skills Development Canada: Canadians in context – aging population. Accessed 28 Feb 2014
  3. 3.
    Eastman, J.K., Iyer, R.: The elderly’s uses and attitudes towards the internet. J. Consum. Market. 21(3), 208–220 (2004)CrossRefGoogle Scholar
  4. 4.
    Adler, R.: Older Americans, broadband and the future of the net. SeniorNet (2006).
  5. 5.
    Czaja, S.J., Lee, C.C.: The impact of the internet on older adults. In: Charness, N., Schaie, K.W. (eds.) Impact of Technology on Successful Aging, pp. 113–133. Springer, New York (2003)Google Scholar
  6. 6.
    White, H., McConnell, E., Clipp, E., Branch, L.G., Sloane, R., Pieper, C., Box, T.L.: A randomized controlled trial of the psychosocial impact of providing internet training and access to older adults. Aging Ment. Health 6(3), 213–221 (2002)CrossRefGoogle Scholar
  7. 7.
    Charness, N., Boot, W.R.: Aging and information technology use: potential and barriers. Curr. Dir. Psychol. Sci. 18(5), 253–258 (2009)CrossRefGoogle Scholar
  8. 8.
    Blaschke, C.M., Freddolino, P.P., Mullen, E.E.: Ageing and technology: a review of the research literature. Br. J. Soc. Work 39, 641–656 (2009)CrossRefGoogle Scholar
  9. 9.
    Statistics Canada.: Canadian year book 2008 – limitations increase with age.
  10. 10.
    Holt-Lunstad, J., Smith, T.B., Layton, J.B.: Social relationships and mortality risk: a meta-analytic review. PLoS Med. 7(7), e1000316 (2010). doi: 10.1371/journal.pmed.1000316 CrossRefGoogle Scholar
  11. 11.
    Nicholson, N.: Social isolation in older adults: an evolutionary concept analysis. J. Adv. Nurs. 65, 1342–1352 (2009)CrossRefGoogle Scholar
  12. 12.
    Simon, M., Chang, E., Zhang, M., Ruan, J., Dong, X.: The prevalence of loneliness among U.S. Chinese older adults. J. Aging Health 26, 1172–1188 (2014)CrossRefGoogle Scholar
  13. 13.
    Nicholson, N., Molony, S., Fennie, K., Shellman, J., McCorkle, R.: Predictors of social isolation in community living older persons. Unpublished Ph.D., Yale University, New Haven, CT (2010)Google Scholar
  14. 14.
    Smith, T.F., Hirdes, J.P.: Predicting social isolation among geriatric psychiatry patients. Int. Psychogeriatr. 21, 50–59 (2009)CrossRefGoogle Scholar
  15. 15.
    Government of Canada: The National Seniors Council. Report on the Social Isolation of Seniors 2013–2014, Oct 2014Google Scholar
  16. 16.
    Lafeyette Instrument Company (LIC): Instructions and Normative Data For Purdue Pegboard 32020. LIC, Lafayette (1985). Purdue PegboardGoogle Scholar
  17. 17.
    Strauss, E., Sherian, E.M.S., Spreen, O.: A Compendium of Neuropsychological Tests: Administration, Norms and Commentary, 3rd edn, pp. 655–677. Oxford University Press, New York (2006)Google Scholar
  18. 18.
    Chudler, E.H.: Neuroscience for kinds: colors, colors.
  19. 19.
    Russel, D.W.: UCLA loneliness scale (version 3): reliability, validity and factor structure. J. Pers. Assess. 66(1), 20–40 (1996)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Christopher Romanyk
    • 1
  • Pejman Salehi
    • 1
    Email author
  • Joseph Sant
    • 1
  • Lia Tsotsos
    • 2
  • Ricardo Chavez
    • 1
  1. 1.School of Applied ComputingSheridan Institute of Technology and Advanced LearningOakvilleCanada
  2. 2.Centre for Elder ResearchSheridan Institute of Technology and Advanced LearningOakvilleCanada

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