Case-based reasoning for matching SMARTHOUSE technology to people's needs.

Wiratunga, Nirmalie; Craw, Susan; Taylor, Bruce; Davis, Genevieve

Abstract

SMARTHOUSE technology offers devices that help the elderly and people with disabilities to live independently in their homes. This paper presents our experiences from a pilot project applying case-based reasoning techniques to match the needs of the elderly and those with disabilities to SMARTHOUSE technology. The SMARTHOUSE problem is decomposed into sub-tasks, and generalised concepts added for each sub-task. This decomposition and generalisation enables multiple case reuse employing a standard decision tree index based iterative retrieval strategy. Documented real situations are used to create a small case base. An initial prototype is evaluated empirically using leave-one-out testing, and separately with the domain expert on newly created test cases. Results show that system generated solutions to be comparable to those of a domain expert. Importantly, the iterative retrieval strategy employing multiple indices generated solutions that were significantly better compared to a one-shot retrieval without indices.

Citation

WIRATUNGA, N., CRAW, TAYLOR, B. and DAVIS, G. 2004. Case-based reasoning for matching SMARTHOUSE technology to people's needs. Knowledge-based systems [online], 17 (2-4), pages 139-146. Available from: https://doi.org/10.1016/j.knosys.2004.03.009

• Journal Article Type: Article
• Acceptance Date: Dec 31, 2004
• Online Publication Date: Dec 31, 2004
• Publication Date: May 31, 2004
• Deposit Date: Mar 21, 2007
• Publicly Available Date: Mar 21, 2007
• Journal: Knowledge-based systems
• Print ISSN: 0950-7051
• Electronic ISSN: 1872-7409
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 17
• Issue: 2-4
• Pages: 139-146
• DOI: https://doi.org/10.1016/j.knosys.2004.03.009
• Keywords: Cased based reasoning; SMARTHOUSE technology; Multiple indexed retrieval; Concept generalisation
• Public URL: http://hdl.handle.net/10059/56