Skip to main content

Visibility of Wearable Sensors as Measured Using Eye Tracking Glasses

  • Conference paper
Evolving Ambient Intelligence (AmI 2013)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 413))

Included in the following conference series:

Abstract

Sensor technologies can enable independent living for people with dementia by monitoring their behaviour and identifying points where support may be required. Wearable sensors can provide such support but may constitute a source of stigma for the user if they are perceived as visible and therefore obtrusive. This paper presents an initial empirical investigation exploring the extent to which wearable sensors are perceived as visible. 23 Participants wore eye tracking glasses, which superimposed the location of their gaze onto video data of their panorama. Participants were led to believe that the research entailed a subjective evaluation of the eye tracking glasses. A researcher wore one of two wearable sensors during the evaluation enabling us to measure the extent to which participants fixated on the sensor during a one-on-one meeting. Results are presented on the general visibility and potential fixations on two wearable sensors, a wrist-work actigraph and a lifelogging camera, during normal conversation between two people. Further investigation is merited according to the results of this pilot study.

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. Drennan, J., Treacy, M.P., Butler, M., Byrne, A., Fealy, G., Frazer, K., Irving, K.: Support networks of older people living in the community. International Journal of Older People Nursing 3(4), 234–242 (2008)

    Article  Google Scholar 

  2. Favela, J., Alamán, X.: Special theme: ambient assisted living for mobility: safety, well-being and inclusion. Personal and Ubiquitous Computing 17(6), 1061–1062 (2013)

    Article  Google Scholar 

  3. Hoof, J., van, K.H., Rutten, P., Duijnstee, M.: Ageing-in-place with the use of ambient intelligence technology: Perspectives of older users. International Journal of Medical Informatics 80, 310–331 (2011)

    Article  Google Scholar 

  4. Orpwood, R., Gibbs, C., Adlam, T., Faulkner, R., Meegahawatte, D.: The design of smart homes for people with dementia: user-interface aspects. Universal Access Information Society 4, 156–164 (2005)

    Article  Google Scholar 

  5. Biswas, J., Tolstikov, A., Jayachandran, M., Foo, V., Wai, A.A.P., Phua, C., Huang, W., Shue, L., Gopalakrishnan, K., Lee, J., Yap, P.: Health and wellness monitoring through wearable and ambient sensors: exemplars from home-based care of elderly with mild dementia. Annals of Telecommunications - Annales Des TéléCommunications 65(9-10), 505–521 (2010)

    Article  Google Scholar 

  6. Batsch, N.L., Mittelman, M.S.: Alzheimer’s Disease International: World Alzheimer Report 2012: Overcoming the stigma of dementia. Alzheimer’s Disease International, London (2012)

    Google Scholar 

  7. Demiris, G., Hensel, B.: “Smart homes” for patients at the end of life. Journal of Housing for the Elderly 23(1), 106–115 (2009)

    Article  Google Scholar 

  8. Hensel, B.K., Demiris, G., Courtney, K.L.: Defining obtrusiveness in home telehealth technologies: A conceptual framework. Journal of the American Medical Informatics Association 13, 428–431 (2006)

    Article  Google Scholar 

  9. Orpwood, R., Faulkner, R., Gibbs, C., Adlam, T.: A design methodology for assistive technology for people with dementia. In: Craddock, G.M., McCormack, L.P., Reilly, R.B., Knopps, H.T.P. (eds.) Assistive Technology: Shaping the Future (2003)

    Google Scholar 

  10. Hodges, S., Berry, E., Wood, K.: SenseCam: A Wearable Camera that Stimulates and Rehabilitates Autobiographical Memory. Memory 19(7), 685–696 (2011)

    Article  Google Scholar 

  11. McHugh, J.E., Smeaton, A.F., Irving, K., Newman, E.: The Dem@Care Toolbox Approach. Position paper presented at the SIGCHI 2013 Workshop on Designing for and with Vulnerable People, CHI, Paris, France (April 2013)

    Google Scholar 

  12. Grezes, J., Costes, N., Decety, J.: Top down effect of the strategy on the perception of human biological motion: a PET investigation. Cognitive Neuropsychology 15, 553–582 (1998)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer International Publishing

About this paper

Cite this paper

King, M. et al. (2013). Visibility of Wearable Sensors as Measured Using Eye Tracking Glasses. In: O’Grady, M.J., et al. Evolving Ambient Intelligence. AmI 2013. Communications in Computer and Information Science, vol 413. Springer, Cham. https://doi.org/10.1007/978-3-319-04406-4_4

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-04406-4_4

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-04405-7

  • Online ISBN: 978-3-319-04406-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics