The Independent LifeStyle AssistantTM (I.L.S.A.): AI Lessons Learned

Karen Zita Haigh, Liana M. Kiff, Janet Myers, Valerie Guralnik, Christopher W. Geib, John Phelps, and Tom Wagner

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 some of the lessons we learned during the development and six-month field study.

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