title: The Independent LifeStyle Assistant: lessons learned.
abstract: The Independent LifeStyle Assistant (I.L.S.A.) is an agent-based monitoring and support system to help elderly people 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 elders' homes and the major lessons we learned during development.
authors.affiliation: Honeywell Laboratories, Minneapolis, Minnesota, USA.
authors.forename: Karen Zita
authors.initials: KZ
authors.lastname: Haigh
authors.forename: Liana M
authors.initials: LM
authors.lastname: Kiff
authors.forename: Geoffrey
authors.initials: G
authors.lastname: Ho
mesh_terms: D000203:Activities of Daily Living; D000368:Aged; D017028:Caregivers; D006233:Persons with Disabilities / Q000534:rehabilitation*; D004867:Equipment Design; D006804:Ergonomics; D016330:Frail Elderly; D006801:Humans; D008019:Life Style; D008991:Monitoring, Physiologic / Q000295:instrumentation*; D012656:Self-Help Devices; D049250:Speech Recognition Software; D011795:Surveys and Questionnaires; D014584:User-Computer Interface