The
Independent LifeStyle AssistantTM
(I.L.S.A.): Deployment Lessons Learned
Karen Zita Haigh, Liana M. Kiff, Janet Myers,
Kathleen Krichbaum
| Honeywell Technology Center, | School of Nursing |
| 3660 Technology Drive, | University of Minnesota |
| Minneapolis, MN 55418 | Minneapolis, MN 55455 |
The Independent LifeStyle AssistantTM
(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.
@inproceedings{haigh-ilsadeployment04,
author="Karen Zita Haigh and Liana M. Kiff and Janet Myers and
Kathleen Krichbaum",
title="The {I}ndependent {L}ife{S}tyle
{A}ssistant$^{\mbox{\tiny\sc TM}}$ ({I.L.S.A.}):
Deployment Lessons Learned",
month="July", year=2004,
booktitle="AAAI WS on Fielding Applications of AI",
address="San Jose, CA"
}