DocumentCode :
3706423
Title :
CARE - extending a digital picture frame with a recommender mode to enhance well-being of elderly people
Author :
Thomas Rist;Andreas Seiderer;Stephan Hammer;Marcus Mayr;Elisabeth Andr?
Author_Institution :
University of Applied Sciences Augsburg, Germany
fYear :
2015
fDate :
5/1/2015 12:00:00 AM
Firstpage :
112
Lastpage :
120
Abstract :
This contribution addresses the development of technology for the elderly with the aim to improve their general well-being. We report work on a prototype system named CARE that combines the functionality of a digital image frame with an active recommender mode. Recommendations are chosen on the basis of context information acquired by sensors embedded in the user´s environment, and a well-being model to carefully decide on at which point in time what kind of activity is most suitable to suggest. We describe conception and implementation of a first CARE prototype that we used for in-situ testing in a senior´s home, as well as for gathering feedback on system usage and user appreciation. The paper concludes with some lessons learned from analyzing log file data of the trial period and from conducting a post-trial interview.
Keywords :
"Senior citizens","Sensors","Prototypes","Interviews","Mobile handsets","Context","Usability"
Publisher :
ieee
Conference_Titel :
Pervasive Computing Technologies for Healthcare (PervasiveHealth), 2015 9th International Conference on
Print_ISBN :
978-1-63190-045-7
Electronic_ISBN :
2153-1641
Type :
conf
DOI :
10.4108/icst.pervasivehealth.2015.259255
Filename :
7349386
Link To Document :
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