HCI International 2017
Vancouver, Canada, 9 - 14 July 2017
Vancouver Convention Centre
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Human Aspects of IT for the Aged Population Best Paper Award

3rd International Conference on Human Aspects of IT for the Aged Population Best Paper Award. Details in text following the image.

Best Paper Award for the 3rd International Conference on Human Aspects of IT for the Aged Population, in the context of HCI International 2017, 9 - 14 July 2017, Vancouver, Canada

 

Certificate for best paper award of the 3rd International Conference on Human Aspects of IT for the Aged Population. Details in text following the image

Certificate for Best Paper Award of the 3rd International Conference on Human Aspects of IT for the Aged Population
conferred to

Nadee Goonawardene, XiaoPing Toh, and Hwee-Pink Tan
(Singapore Management University, Singapore)

for the paper entitled

"Sensor-Driven Detection of Social Isolation in Community-Dwelling Elderly"

Presented in the context of
HCI International 2017
9 - 14 July 2017, Vancouver, Canada

Paper Abstract
"Ageing-in-place, the ability to age holistically in the community, is increasingly gaining recognition as a solution to address resource limitations in the elderly care sector. Effective elderly care models require a personalised and all-encompassing approach to caregiving. In this regard, sensor technologies have gained attention as an effective means to monitor the wellbeing of elderly living alone. In this study, we seek to investigate the potential of non-intrusive sensor systems to detect socially isolated community dwelling elderly. Using a mixed method approach, our results showed that sensor-derived features such as going-out behavior, daytime napping and time spent in the living room are associated with different social isolation dimensions. The average time spent outside home is associated with the social loneliness level, social network score and the overall social isolation level of the elderly and the time spent in the living room is positively associated with the emotional loneliness level. Further, elderly who perceived themselves as socially lonely tend to take more naps during the day time. The findings of this study provide implications on how a non-intrusive sensor-based monitoring system comprising of motion-sensors and a door contact sensor can be utilized to detect elderly who are at risk of social isolation."

The full paper is available through SpringerLink, provided that you have proper access rights.

 

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