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ABSTRACT
As the world population is aging, there is an increasing need to support independent living of elderly people. Assistive environments incorporate the latest pervasive and ubiquitous technologies and provide a viable alternative to traditional assistive living. In this paper, we propose an evaluation framework to assess the quality of assistive environments. An assistive environment can be successful only if the potential users are willing to adopt it. The proposed framework identifies a set of attributes that are considered critical to user adoption. Sample metrics, as well as possible approaches to measure them, are also suggested to quantify those attributes. The framework is illustrated using an experimental assistive apartment environment that is being built at the University of Texas at Arlington.
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CITED BY
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Kyungseo Park , Eric Becker , Jyothi K. Vinjumur , Zhengyi Le , Fillia Makedon, Human behavioral detection and data cleaning in assisted living environment using wireless sensor networks, Proceedings of the 2nd International Conference on PErvsive Technologies Related to Assistive Environments, p.1-8, June 09-13, 2009, Corfu, Greece
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INDEX TERMS
Primary Classification:
H.
Information Systems
H.4
INFORMATION SYSTEMS APPLICATIONS
H.4.m
Miscellaneous
General Terms:
Design,
Human Factors,
Languages,
Measurement,
Performance,
Reliability,
Security,
Standardization,
Verification
Keywords:
assistive environments,
assistive living,
metrics,
pervasive computing
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