Identifying Barriers to Effective User Interaction with Rehabilitation Tools in the Home

  • Stephen Uzor
  • Lynne Baillie
  • Dawn Skelton
  • Fiona Fairlie
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6947)


This paper presents the results from a user workshop that was undertaken to investigate the relationship between the nature of current home rehabilitation tools and the motivation to exercise. We also present a method of visual feedback which we hope will be an effective tool for informing users regarding important clinical measures associated with their recovery. Older adults over the age of 60 were involved in the study. The findings from the user workshop suggest that the relatively passive nature of current rehabilitation materials is less than ideal for sustaining motivation to exercise. Furthermore, our results suggest that visual feedback and more interactive methods can play an important role in engaging users in home rehabilitation.


falls prevention user interaction rehabilitation visual feedback user workshop 


  1. 1.
    Age UK official website, (last referenced: April 04, 2010)
  2. 2.
    Baillie, L.: The Home Workshop. In: Home-Oriented Informatics and Telematics International Working Conference, California, USA (2003)Google Scholar
  3. 3.
    Benford, S., Bederson, B.D., Akesson, K.P., Bayon, V., Druin, A., Hansson, P., Hourcade, J.P., Ingram, R., Neale, H., O’Malley, C., Simsarian, K.T., Stanton, D., Sundblad, Y., Taxen, G.: Designing Storytelling Technologies to Encourage Collaboration Between Young Children. In: Paper presented at CHI: The Future is Here (2000)Google Scholar
  4. 4.
    Carroll, J.M., Rosson, M.B., Chin, G., Koenemann, J.: Requirements Development in scenario-based design. IEEE Transactions on Software Engineering 24(12), 1156–1170 (1998)CrossRefGoogle Scholar
  5. 5.
    Gabbard, J.L., Hix, D., Edward Swan, J.: User-Centered Design and Evaluation of Virtual Environments. IEEE Journal of Computer Graphics and Applications 19(6) (November 1999)Google Scholar
  6. 6.
    Hausdorff, J.: Gait Dynamics, Fractals and Falls. Finding Meaning in the Stride-to-Stride Fluctuations of Human Walking. Hum. Mov. Sci. 26(4), 555–589 (2007)CrossRefGoogle Scholar
  7. 7.
    Health Education Authority, Older people and accidents; Fact Sheet 2. HE, London (1999)Google Scholar
  8. 8.
    Kwakkel, G., Van Peppen, R., Wagenaar, R.C., Wood Dauphinee, S., Richards, C., Ashburn, A., Miller, K., Lincoln, N., Partridge, C., Wellwood, I., Langhorne, P.: Effects of augmented exercise therapy time after stroke: a meta-analysis. Stroke 35, 2529–2539 (2004)CrossRefGoogle Scholar
  9. 9.
    Lord, S.R., Lloyd, D.G., Sek, K.: Sensori-motor Function, Gait Patterns and Falls in Community-dwelling women. Journal of Age and Ageing 25, 292–299 (1996)CrossRefGoogle Scholar
  10. 10.
    Loudon, D., Macdonald, A.S.: Enhancing dialogues between rehabilitation patients and therapists using visualisation software. In: Proc. Envisaging the Future of Home Rehabilitation Workshop. Pervasive Health (2011)Google Scholar
  11. 11.
    MacDonald, A.S., Loudon, D., Rowe, P.J., Samuel, D., Hood, V., Nicol, C., Grealy, M., Conway, B.: Towards a design tool for visualizing the functional demand placed on older adults by everyday living tasks. Universal Access in the Information Society 6, 137–144 (2007)CrossRefGoogle Scholar
  12. 12.
    Mataric, M.J., Eriksson, J., Feil-Seifer, D.J., Winstein, C.J.: Socially assistive robots for post-stroke rehabilitation. Journal of NeuroEngineering and Rehabilitation (2007)Google Scholar
  13. 13.
    McKim, R.H.: Experiences in Visual Thinking. PWS Publishers, Boston Mass (1972)Google Scholar
  14. 14.
    Newell, A.F., Arnott, J., Carmichael, A., Morgan, M.: Methodologies for Involving Older Adults in the Design Process. In: Stephanidis, C. (ed.) HCI 2007. LNCS, vol. 4554, pp. 982–989. Springer, Heidelberg (2007), doi:10.1007/978-3-540-73279-2_110CrossRefGoogle Scholar
  15. 15.
    Robinson, L., Dawson, P., Newton, J.: Promoting adherence with exercise-based falls prevention programmes. In: Vincent, M.L., Moreau, T.M. (eds.) Accidental Falls: Causes, Prevention and Intervention, ch. 12, pp. 283–298. Nova Science Publishers, New York (2008)Google Scholar
  16. 16.
    Silver Fit Soft Kinetic rehabilitation (2010),
  17. 17.
    Skelton, D.A., Dinan, S.M.: Exercise for falls management: Rationale for an exercise programme aimed at reducing postural instability. Journal of Physiotherapy Theory and Practice (1999)Google Scholar
  18. 18.
    Taylor, A., Aitken, A., Godden, D., Colligan, J.: Group pulmonary rehabilitation delivered to the home via the Internet: feasibility and patient perception. In: Proc. CHI 2011 (2011)Google Scholar
  19. 19.
    Taylor, D., Stretton, C.: The Otago Exercise Program, An evidence-based approach to falls prevention for older adults living in the community. Journal of Primary Health Care 31(6) (2004)Google Scholar

Copyright information

© IFIP International Federation for Information Processing 2011

Authors and Affiliations

  • Stephen Uzor
    • 1
  • Lynne Baillie
    • 1
  • Dawn Skelton
    • 1
  • Fiona Fairlie
    • 1
  1. 1.Multimodal Interaction Research Group, School of Engineering and ComputingGlasgow Caledonian UniversityGlasgowUK

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