AI Article Synopsis
- The Independent LifeStyle Assistant (I.L.S.A.) is designed to support elderly individuals in maintaining their independence at home while easing the workload for caregivers.
- I.L.S.A. utilizes a combination of sensing, situation assessments, response planning, real-time actions, and machine learning to monitor and assist users.
- The paper highlights key findings from a six-month study where the system was tested in real elder homes, focusing on insights gained during its development.
Article 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.
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| http://dx.doi.org/10.1080/10400435.2006.10131909 | DOI Listing |
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