Music in the Retiring Life: A Review of Evaluation Methods and Potential Factors

  • Mao MaoEmail author
  • Alan F. Blackwell
  • David A. Good
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9193)


People retiring now differ greatly in knowledge, motivation, attitudes towards and use of digital music-related technologies to younger generations or their predecessors. This paper reviews the methods that have been used to investigate why people use music-related technologies, how they use them and why. Using a lens provided by social cognitive theory it identifies future themes for research into music and ageing. Hopefully, these analyses will inform the design of future music related technologies for people at the transition to retirement, and the elderly.


Retirement Transition Music Social cognitive theory 


  1. 1.
    Ryu, M.-H., Kim, S., Lee, E.: Understanding the factors affecting online elderly user’s participation in video UCC services. Comput. Hum. Behav. 25, 619–632 (2009)CrossRefGoogle Scholar
  2. 2.
    Kralik, D., Visentin, K., Van Loon, A.: Transition: a literature review. J. Adv. Nurs. 55, 320–329 (2006)CrossRefGoogle Scholar
  3. 3.
    Lee, E., Moschis, G.P., Mathur, A.: A study of life events and changes in patronage preferences. J. Bus. Res. 54, 25–38 (2001)CrossRefGoogle Scholar
  4. 4.
    Lindley, S.E., Harper, R., Sellen, A.: Designing for elders: exploring the complexity of relationships in later life. In: Proceedings of the 22nd British HCI Group Annual Conference on People and Computers: Culture, Creativity, Interaction, vol. 1. pp. 77–86, British Computer Society (2008)Google Scholar
  5. 5.
    Lange, P.A.M.V., Kruglanski, A.W., Higgins, E.T.: Handbook of Theories of Social Psychology, vol. 1. SAGE Publications Ltd, London (2012)CrossRefGoogle Scholar
  6. 6.
    Compeau, D.R., Higgins, C.A.: Computer self-efficacy: development of a measure and initial test. MIS Q. 19(2), 189–211 (1995)CrossRefGoogle Scholar
  7. 7.
    Connelly, K., Laghari, K.U.R., Mokhtari, M., Falk, T.H.: Approaches to understanding the impact of technologies for aging in place: a mini-review. Gerontology 60, 282–288 (2014)CrossRefGoogle Scholar
  8. 8.
    Vaisutis, K., Brereton, M., Robertson, T., Vetere, F., Durick, J., Nansen, B., Buys, L.: Invisible connections: investigating older people’s emotions and social relations around objects. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 1937–1940. ACM, New York, NY, USA (2014)Google Scholar
  9. 9.
    Robson, C.: Real World Research: A Resource for Social Scientists and Practitioners-Researchers. Black Well Publ. Ltd., Oxford (1993)Google Scholar
  10. 10.
    Mitzner, T.L., Boron, J.B., Fausset, C.B., Adams, A.E., Charness, N., Czaja, S.J., Dijkstra, K., Fisk, A.D., Rogers, W.A., Sharit, J.: Older adults talk technology: technology usage and attitudes. Comput. Hum. Behav. 26, 1710–1721 (2010)CrossRefGoogle Scholar
  11. 11.
    Melenhorst, A.-S., Rogers, W.A., Bouwhuis, D.G.: Older adults’ motivated choice for technological innovation: evidence for benefit-driven selectivity. Psychol. Aging 21, 190–195 (2006)CrossRefGoogle Scholar
  12. 12.
    Dickinson, A., Hill, R.L.: Keeping in touch: talking to older people about computers and communication. Educ. Gerontol. 33, 613–630 (2007)CrossRefGoogle Scholar
  13. 13.
    Salovaara, A., Lehmuskallio, A., Hedman, L., Valkonen, P., Näsänen, J.: Information technologies and transitions in the lives of 55–65-year-olds: the case of colliding life interests. Int. J. Hum. Comput. Stud. 68, 803–821 (2010)CrossRefGoogle Scholar
  14. 14.
    Ahmed, A., Benford, S., Crabtree, A.: Digging in the crates: an ethnographic study of DJS’ work. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 1805–1814. ACM, New York, NY, USA (2012)Google Scholar
  15. 15.
    Talamo, A., Giorgi, S., Mellini, B.: Designing technologies for ageing: is simplicity always a leading criterion? In: Proceedings of the 9th ACM SIGCHI Italian Chapter International Conference on Computer-Human Interaction: Facing Complexity, pp. 33–36. ACM, New York, NY, USA (2011)Google Scholar
  16. 16.
    Benford, S., Tolmie, P., Ahmed, A.Y., Crabtree, A., Rodden, T.: Supporting traditional music-making: designing for situated discretion. In: Proceedings of the ACM 2012 Conference on Computer Supported Cooperative Work, pp. 127–136. ACM, New York, NY, USA (2012)Google Scholar
  17. 17.
    Sayago, S., Blat, J.: Telling the story of older people e-mailing: an ethnographical study. Int. J. Hum. Comput. Stud. 68, 105–120 (2010)CrossRefGoogle Scholar
  18. 18.
    Gaver, B., Dunne, T., Pacenti, E.: Design: cultural probes. Interactions 6, 21–29 (1999)CrossRefGoogle Scholar
  19. 19.
    Leonardi, C., Mennecozzi, C., Not, E., Pianesi, F., Zancanaro, M., Gennai, F., Cristoforetti, A.: Knocking on elders’ door: investigating the functional and emotional geography of their domestic space. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 1703–1712. ACM, New York, NY, USA (2009)Google Scholar
  20. 20.
    Rogers, Y., Paay, J., Brereton, M., Vaisutis, K.L., Marsden, G., Vetere, F.: Never too old: engaging retired people inventing the future with MaKey MaKey. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 3913–3922. ACM, New York, NY, USA (2014)Google Scholar
  21. 21.
    Hemmings, T., Clarke, K., Rouncefield, M., Crabtree, A., Rodden, T.: Probing the probes. In: PDC, pp. 42–50 (2002)Google Scholar
  22. 22.
    Boehner, K., Vertesi, J., Sengers, P., Dourish, P.: How HCI interprets the probes. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 1077–1086. ACM, New York, NY, USA (2007)Google Scholar
  23. 23.
    Tamplin, J., Baker, F.A., Jones, B., Way, A., Lee, S.: Stroke a chord: the effect of singing in a community choir on mood and social engagement for people living with aphasia following a stroke. NeuroRehabilitation 32, 929–941 (2013)Google Scholar
  24. 24.
    Amer, T., Kalender, B., Hasher, L., Trehub, S.E., Wong, Y.: Do older professional musicians have cognitive advantages? PLoS ONE 8, e71630 (2013)CrossRefGoogle Scholar
  25. 25.
    Berghs, G., Creylman, N., Avaux, M., Decoster, W., De Jong, F.: A lifetime of professional singing: voice parameters and age in the Netherlands radio choir. Logoped. Phoniatr. Vocol. 38, 59–63 (2013)CrossRefGoogle Scholar
  26. 26.
    Müller, V., Lindenberger, U.: Cardiac and respiratory patterns synchronize between persons during choir singing. PLoS ONE 6, e24893 (2011)CrossRefGoogle Scholar
  27. 27.
    Sung, H., Lee, W., Li, T., Watson, R.: A group music intervention using percussion instruments with familiar music to reduce anxiety and agitation of institutionalized older adults with dementia: group music intervention for older adults with dementia. Int. J. Geriatr. Psychiatry 27, 621–627 (2012)CrossRefGoogle Scholar
  28. 28.
    White-Schwoch, T., Carr, K.W., Anderson, S., Strait, D.L., Kraus, N.: Older adults benefit from music training early in life: biological evidence for long-term training-driven plasticity. J. Neurosci. 33, 17667–17674 (2013)CrossRefGoogle Scholar
  29. 29.
    Kokal, I., Engel, A., Kirschner, S., Keysers, C.: Synchronized drumming enhances activity in the caudate and facilitates prosocial commitment - if the rhythm comes easily. PLoS ONE 6, e27272 (2011)CrossRefGoogle Scholar
  30. 30.
    Koyama, M., Wachi, M., Utsuyama, M., Bittman, B., Hirokawa, K., Kitagawa, M.: Recreational music-making modulates immunological responses and mood states in older adults. J. Med. Dent. Sci. 56(2), 79–90 (2009)Google Scholar
  31. 31.
    Moens, B., Muller, C., van Noorden, L., Franěk, M., Celie, B., Boone, J., Bourgois, J., Leman, M.: Encouraging spontaneous synchronisation with D-Jogger, an adaptive music player that aligns movement and music. PLoS ONE 9, e114234 (2014)CrossRefGoogle Scholar
  32. 32.
    O’Neill, S.A., McClean, S.I., Donnelly, M.D., Nugent, C.D., Galway, L., Cleland, I., Zhang, S., Young, T., Scotney, B.W., Mason, S.C., Craig, D.: Development of a technology adoption and usage prediction tool for assistive technology for people with dementia. Interact. Comput. 26, 169–176 (2014)CrossRefGoogle Scholar
  33. 33.
    Harley, D., Fitzpatrick, G.: Creating a conversational context through video blogging: a case study of geriatric 1927. Comput. Hum. Behav. 25, 679–689 (2009)CrossRefGoogle Scholar
  34. 34.
    Shklovski, I., Kraut, R., Cummings, J.: Routine patterns of internet use & psychological well-being: coping with a residential move. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 969–978. ACM, New York, NY, USA (2006)Google Scholar
  35. 35.
    Taruffi, L., Koelsch, S.: The paradox of music-evoked sadness: an online survey. PLoS ONE 9, e110490 (2014)CrossRefGoogle Scholar
  36. 36.
    Intille, S.S., Bao, L., Tapia, E.M., Rondoni, J.: Acquiring in situ training data for context-aware ubiquitous computing applications. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 1–8. ACM, New York, NY, USA (2004)Google Scholar
  37. 37.
    Kirsh, E.R., van Leer, E., Phero, H.J., Xie, C., Khosla, S.: Factors associated with singers’ perceptions of choral singing well-being. J. Voice 27, 786.e25–786.e32 (2013)CrossRefGoogle Scholar
  38. 38.
    Hoare, M., Benford, S., Jones, R., Milic-Frayling, N.: Coming in from the margins: amateur musicians in the online age. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 1295–1304. ACM, New York, NY, USA (2014)Google Scholar
  39. 39.
    Seale, L.: The cambridge companion to choral music. Ref. Rev. 27, 47–48 (2013)CrossRefGoogle Scholar
  40. 40.
    Johnson, J.K., Louhivuori, J., Stewart, A.L., Tolvanen, A., Ross, L., Era, P.: Quality of life (QOL) of older adult community choral singers in Finland. Int. Psychogeriatr. 25, 1055–1064 (2013)CrossRefGoogle Scholar
  41. 41.
    Lee, B., Chen, Y., Hewitt, L.: Age differences in constraints encountered by seniors in their use of computers and the internet. Comput. Hum. Behav. 27, 1231–1237 (2011)CrossRefGoogle Scholar
  42. 42.
    Kurniawan, S.: Older people and mobile phones: a multi-method investigation. Int. J. Hum. Comput. Stud. 66, 889–901 (2008)CrossRefGoogle Scholar
  43. 43.
    Brasel, S.A., Gips, J.: Media multitasking behavior: concurrent television and computer usage. CyberPsychol. Behav. Soc. Netw. 14, 527–534 (2011)CrossRefGoogle Scholar
  44. 44.
    Tedjamulia, S.J., Dean, D.L., Olsen, D.R., Albrecht, C.C.: Motivating content contributions to online communities: toward a more comprehensive theory. In: Proceedings of the 38th Annual Hawaii International Conference on System Sciences, HICSS 2005, pp. 193b–193b, IEEE (2005)Google Scholar
  45. 45.
    Riley, P., Alm, N., Newell, A.: An interactive tool to promote musical creativity in people with dementia. Comput. Hum. Behav. 25, 599–608 (2009)CrossRefGoogle Scholar
  46. 46.
    Damodaran, L., Olphert, C.W., Sandhu, J.: Falling off the bandwagon? Exploring the challenges to sustained digital engagement by older people. Gerontology 60, 163–173 (2014)CrossRefGoogle Scholar
  47. 47.
    Vroman, K.G., Arthanat, S., Lysack, C.: Who over 65 is online? Older adults’ dispositions toward information communication technology. Comput. Hum. Behav. 43, 156–166 (2015)CrossRefGoogle Scholar
  48. 48.
    Bobillier Chaumon, M.-E., Michel, C., Tarpin Bernard, F., Croisile, B.: Can ICT improve the quality of life of elderly adults living in residential home care units? From actual impacts to hidden artefacts. Behav. Inf. Technol. 33(6), 574–590 (2014)CrossRefGoogle Scholar
  49. 49.
    Travers, C., Bartlett, H.P.: Silver memories: implementation and evaluation of a unique radio program for older people. Aging Ment. Health. 15, 169–177 (2011)CrossRefGoogle Scholar
  50. 50.
    Hope, A., Schwaba, T., Piper, A.M.: Understanding digital and material social communications for older adults. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 3903–3912. ACM, New York, NY, USA (2014)Google Scholar
  51. 51.
    Lee, D., Park, J.Y., Kim, J., Kim, J., Moon, J.: Understanding music sharing behaviour on social network services. Online Inf. Rev. 35, 716–733 (2011)CrossRefGoogle Scholar
  52. 52.
    Creech, A., Hallam, S., Varvarigou, M., McQueen, H., Gaunt, H.: Active music making: a route to enhanced subjective well-being among older people. Perspect. Public Health. 133, 36–43 (2013)CrossRefGoogle Scholar
  53. 53.
    Settles, B., Dow, S.: Let’s get together: the formation and success of online creative collaborations. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 2009–2018. ACM, New York, NY, USA (2013)Google Scholar
  54. 54.
    Jarvenpaa, S.L., Staples, D.S.: The use of collaborative electronic media for information sharing: an exploratory study of determinants. J. Strateg. Inf. Syst. 9, 129–154 (2000)CrossRefGoogle Scholar
  55. 55.
    Chartrand, T.L., Bargh, J.A.: The chameleon effect: the perception–behavior link and social interaction. J. Pers. Soc. Psychol. 76, 893 (1999)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Department of PsychologyUniversity of CambridgeCambridgeUK
  2. 2.Computer LaboratoryUniversity of CambridgeCambridgeUK

Personalised recommendations