The Independent LifeStyle Assistant™ (I.L.S.A.): Deployment lessons learned

Karen Zita Haight, Liana M. Kiff, Janet Myers, Kathleen Krichbaum

Research output: Contribution to conferencePaperpeer-review

8 Scopus citations

Abstract

The Independent LifeStyle Assistant™ (I.L.S. A.) is an agent-based monitoring and support system to help elderly people to live longer in their homes by reducing caregiver burden. I.L.S.A. is a multiagent system that incorporates a unified sensing model, situation assessments, response planning, real-time responses and machine learning. This paper describes the six-month study of the system we fielded in elder's homes and the major we lessons learned about deployment.

Original languageEnglish (US)
Pages11-16
Number of pages6
StatePublished - 2004
Event19th National Conference on Artificial Intelligence - San Jose, CA, United States
Duration: Jul 25 2004Jul 26 2004

Other

Other19th National Conference on Artificial Intelligence
Country/TerritoryUnited States
CitySan Jose, CA
Period7/25/047/26/04

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