Behavior modeling in physical and adaptive intelligent services

A type of services that require human physical actions and intelligent decision making exists in various real fields, such as nursing in hospitals and caregiving in nursing homes. The authors´ group call such services “physical and adaptive intelligent services,” and is developing an IT-based system that is aims to assist cooperation and knowledge sharing among staffs. In this paper, we propose a new method for analyzing changes in the behavior of staffs before/after introducing the system. The method is based on probabilistic modeling of staffs´ behavior. Using event-logs recorded by the system, behavior models are learned in the form of N-gram models. The method is also used for detection of unusual human behavior in the event-logs.