Impact of Virtual Reality (VR) Experience on Older Adults’ Well-Being

  • Charles Xueyang Lin
  • Chaiwoo LeeEmail author
  • Dennis Lally
  • Joseph F. Coughlin
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10927)


Aging often leads to decreased social engagement. While technology has the potential to improve the quality of life among older adults, not much is known about effects of new technologies, including virtual reality (VR) applications, on their well-being. This paper reports on a field study conducted with older adults in assisted living communities to understand how use of a VR system may contribute to their emotional and social well-being. During the study, a two-week intervention was done with an experimental group that used a VR system to view contents related to travel and relaxation, and a control group that used a TV to view the same contents. Feedback collected before and after the intervention showed that the VR application provided more benefits compared to the control condition. Participants that used the VR system reported being less socially isolated, being less likely to show signs of depression, experiencing positive affects more frequently, and feeling better about their overall well-being. While the study has limitations to its generalizability, findings show the potential for using VR applications for improving the quality of life among the aging population.


Aging Virtual Reality Well-being Quality of life 



The authors would like to thank Tom Grape, and the residents and staff at Benchmark Senior Living communities for participation and support.


  1. 1.
    Harris-Kojetin, L., Sengupta, M., Park-Lee, E., Valverde, R.: Long-term care services in the United States: 2013 overview. U.S. Department of Health and Human Services, Washington, DC (2013)Google Scholar
  2. 2.
    Cotten, S.R., Anderson, W.A., McCullough, B.M.: Impact of internet use on loneliness and contact with others among older adults: cross-sectional analysis. J. Med. Internet Res. 15(2), e39 (2013)CrossRefGoogle Scholar
  3. 3.
    Miyazaki, M., Sano, M., Naemura, M., Sumiyoshi, H., Mitsuya, S., Fujii, A.: A social TV system for the senior community: Stimulating elderly communication using information and communications technology. In: 16th International Conference on Network-Based Information Systems (NBiS), pp. 422–427. IEEE, New York (2013)Google Scholar
  4. 4.
    Chao, Y.Y., Scherer, Y.K., Montgomery, C.A.: Effects of using Nintendo Wii™ exergames in older adults: a review of the literature. J. Aging Health 27(3), 379–402 (2015)CrossRefGoogle Scholar
  5. 5.
    Burmeister, O.K., Bernoth, M., Dietsch, E., Cleary, M.: Enhancing connectedness through peer training for community-dwelling older people: A person centred approach. Issues Ment. Health Nurs. 37(6), 406–411 (2016)CrossRefGoogle Scholar
  6. 6.
    Lombard, M., Ditton, T.: At the heart of it all: The concept of presence. J. Comput. Mediat. Commun. 3(2) (1997)CrossRefGoogle Scholar
  7. 7.
    Optale, G., Urgesi, C., Busato, V., Marin, S., Piron, L., Priftis, K., Gamberini, L., Capodieci, S., Bordin, A.: Controlling memory impairment in elderly adults using virtual reality memory training: a randomized controlled pilot study. Neurorehabil. Neural Repair 24(4), 348–357 (2010)CrossRefGoogle Scholar
  8. 8.
    García-Betances, R.I., Jiménez-Mixco, V., Arredondo, M.T., Cabrera-Umpiérrez, M.F.: Using virtual reality for cognitive training of the elderly. Am. J. Alzheimer’s Dis. Other Dement. 30(1), 49–54 (2015)CrossRefGoogle Scholar
  9. 9.
    Falconer, C., Rovira, A., King, J., Gilbert, P., Antley, A., Fearon, P., Ralph, N., Slater, M., Brewin, C.: Embodying self-compassion within virtual reality and its effects on patients with depression. Br. J. Psychiatry Open 2(1), 74–80 (2016)CrossRefGoogle Scholar
  10. 10.
    Chao, Y.Y., Scherer, Y.K., Wu, Y.W., Lucke, K.T., Montgomery, C.A.: The feasibility of an intervention combining self-efficacy theory and Wii Fit exergames in assisted living residents: A pilot study. Geriatr. Nurs. 34(5), 377–382 (2013)CrossRefGoogle Scholar
  11. 11.
    Rosenberg, R.S., Baughman, S.L., Bailenson, J.N.: Virtual superheroes: using superpowers in virtual reality to encourage prosocial behavior. PLoS One 8(1), e55003 (2013)CrossRefGoogle Scholar
  12. 12.
    Mackinnon, A., Jorm, A.F., Christensen, H., Korten, A.E., Jacomb, P.A., Rodgers, B.: A short form of the positive and negative affect schedule: evaluation of factorial validity and invariance across demographic variables in a community sample. Personal. Individ. Differ. 27(3), 405–416 (1999)CrossRefGoogle Scholar
  13. 13.
    Rammstedt, B., John, O.: Measuring personality in one minute or less: a 10-item short version of the big five inventory in English and German. J. Res. Pers. 41, 203–212 (2007)CrossRefGoogle Scholar
  14. 14.
    Yesavage, J.A., Sheikh, J.I.: Geriatric depression scale (GDS): Recent evidence and development of a shorter version. Clin. Gerontol. J. Aging Ment. Health 5(1–2), 165–173 (1986)Google Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Charles Xueyang Lin
    • 1
  • Chaiwoo Lee
    • 2
    Email author
  • Dennis Lally
    • 1
  • Joseph F. Coughlin
    • 2
  1. 1.Massachusetts Institute of Technology Integrated Design and ManagementCambridgeUSA
  2. 2.Massachusetts Institute of Technology AgeLabCambridgeUSA

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