King, Meggan, Hu, Feiyan ORCID: 0000-0001-7451-6438, McHugh, Joanna ORCID: 0000-0002-7387-3107, Murphy, Emma, Newman, Eamonn ORCID: 0000-0002-0310-0539, Irving, Kate ORCID: 0000-0002-9255-4574 and Smeaton, Alan F. ORCID: 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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