The Independent LifeStyle Assistant™ (I.L.S.A.): Deployed Lessons Learned

Karen Zita Haigh, Liana M. Kiff, Janet Mayers, and Kathleen Krichbaum

The Independent LifeStyle AssistantTM (I.L.S.A.) is an agentbased 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 uni- fied 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.


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