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

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 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.

• Type: Conference
• Year: 2004
• Where: AAAI
• Authors: Karen Zita Haigh, Liana M. Kiff, Janet Myers, Valerie Guralnik, Christopher W. Geib, John Phelps, Thomas Wagner
• Keywords: AAAI 2004, Independent LifeStyle AssistantTM, Intelligent Agents, Six-month Field Study, Unified Sensing Model