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Visibility of wearable sensors as measured using eye tracking glasses

King, Meggan, Hu, Feiyan orcid logoORCID: 0000-0001-7451-6438, McHugh, Joanna orcid logoORCID: 0000-0002-7387-3107, Murphy, Emma, Newman, Eamonn orcid logoORCID: 0000-0002-0310-0539, Irving, Kate orcid logoORCID: 0000-0002-9255-4574 and Smeaton, Alan F. orcid logoORCID: 0000-0003-1028-8389 (2013) Visibility of wearable sensors as measured using eye tracking glasses. In: WISHWell’13 - 5th International Workshop on Intelligent Environments Supporting Healthcare and Well-being, 3 Dec 2013, Dublin, Ireland.

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 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-worn actigraph and a lifelogging camera, during normal conversation between two people.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Workshop
Refereed:Yes
Uncontrolled Keywords:Eye-tracking Glasses; Wearable Sensors; Assistive Technology; Dementia; Fixations
Subjects:Computer Science > Lifelog
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Science and Health > School of Nursing and Human Sciences
Research Institutes and Centres > INSIGHT Centre for Data Analytics
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Published in: Evolving Ambient Intelligence. Communications in Computer and Information Science 413. Springer.
Publisher:Springer
Official URL:http://link.springer.com/chapter/10.1007/978-3-319...
Copyright Information:© 2013 Springer-Verlag The original publication is available at www.springerlink.com
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland
ID Code:19706
Deposited On:07 Jan 2014 14:19 by Alan Smeaton . Last Modified 11 Oct 2018 12:56
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