Skip to main content

Studies to Determine User Requirements Regarding In-Home Monitoring Systems

  • Conference paper
User Modeling, Adaptation, and Personalization (UMAP 2012)

Abstract

The ageing of the world population is leading to an increased number of elderly people remaining in their homes, requiring different levels of care. MIA is a user-centric project aimed at monitoring elderly people in order to help them remain safely in their homes, where the design of the system is informed by the requirements of the stakeholders. In this paper, we present the results of two user studies that ascertain the views of elderly people and their informal carers regarding the acceptability and benefits of in-home monitoring technologies: (1) concept mapping coupled with brainstorming sessions, and (2) questionnaires. We then discuss how these requirements affect the design of our monitoring system.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Burmedi, D., Becker, S., Heyl, V., Wahl, H., Himmelsbach, I.: Emotional and social consequences of age-related low vision: A narrative review. Visual Impairment Research 4(1), 15–45 (2002)

    Article  Google Scholar 

  2. Courtney, K., Demiris, G., Rantz, M.: Needing smart home technologies: The perspective of older adults in continuing care retirement communities. Informatics in Primary Care 16(3), 195–201 (2008)

    Google Scholar 

  3. Demiris, G., Oliver, D., Dickey, G., Skubic, M., Rantz, M.: Findings from a participatory evaluation of a smart home application for older adults. Technology and Health Care 16(2), 111–118 (2008)

    Google Scholar 

  4. Demiris, G., Rantz, M., Aud, M., Marek, K., Tyrer, H., Skubic, M., Hussam, A.: Older adults’ attitudes towards and perceptions of ‘smart home’ technologies: A pilot study. Medical informatics and the Internet in Medicine 29(2), 87–94 (2004)

    Article  Google Scholar 

  5. Fisk, A.D., Rogers, W.A., Charness, N., Czaja, S.J., Sharit, J.: Designing for Older Adults: Principles and Creative Human Factors Approaches, 2nd edn. CRC Press, Boca Raton (2009)

    Book  Google Scholar 

  6. Mann, W.C., Belchoir, P., Tomita, M.R., Kemp, B.J.: Older adults’ perception and use of PDAs, home automation system, and home health monitoring system. Topics in Geriatric Rehabilitation 23(1), 35–46 (2007)

    Google Scholar 

  7. McCreadie, C., Tinker, A.: The acceptability of assistive technology to older people. Ageing and Society 25(1), 91–110 (2005)

    Article  Google Scholar 

  8. Ohta, S., Nakamoto, H., Shinagawa, Y., Tanikawa, T.: A health monitoring system for elderly people living alone. Journal of Telemedicine and Telecare 8(3), 151–166 (2002)

    Article  Google Scholar 

  9. Pascolini, D., Mariotti, S.P.: Global estimates of visual impairment: 2010. British Journal of Ophthalmology (December 2011)

    Google Scholar 

  10. Petrucci, C., Quinlan, K.: Bridging the research-practice gap: Concept mapping as a mixed methods strategy in practice-based research and evaluation. Journal of Social Service Research 34(2), 25–42 (2007)

    Article  Google Scholar 

  11. Philipose, M., Fishkin, K.P., Perkowitz, M., Patterson, D.J., Fox, D., Kautz, H., Hahnel, D.: Inferring activities from interactions with objects. IEEE Pervasive Computing 3(4), 50–57 (2004)

    Article  Google Scholar 

  12. Pollack, M.E.: Intelligent technology for an aging population: The use of AI to assist elders with cognitive impairment. AI Magazine 26(2), 9–24 (2005)

    Google Scholar 

  13. Sixsmith, A.: An evaluation of an intelligent home monitoring system. Journal of Telemedicine and Telecare 6(2), 63–72 (2000)

    Article  MathSciNet  Google Scholar 

  14. Trochim, W., Kane, M.: Concept mapping: An introduction to structured conceptualization in health care. International Journal for Quality in Health Care 17(3), 187–191 (2005)

    Article  Google Scholar 

  15. Wild, K., Boise, L., Lundell, J., Foucek, A.: Unobtrusive in-home monitoring of cognitive and physical health: Reactions and perceptions of older adults. Journal of Applied Gerontology 27(2), 181–200 (2008)

    Article  Google Scholar 

  16. Ziefle, M., Röker, C., Holzinger, A.: Medical technology in smart homes: Exploring the user’s perspective on privacy, intimacy and trust. In: SAPSE 2011 – The 3rd IEEE International Workshop on Security Aspects of Process and Services Engineering, Munich, Germany, pp. 410–415 (2011)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Larizza, M. et al. (2012). Studies to Determine User Requirements Regarding In-Home Monitoring Systems. In: Masthoff, J., Mobasher, B., Desmarais, M.C., Nkambou, R. (eds) User Modeling, Adaptation, and Personalization. UMAP 2012. Lecture Notes in Computer Science, vol 7379. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31454-4_12

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-31454-4_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31453-7

  • Online ISBN: 978-3-642-31454-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics