Integrated Human Behavior Modeling

In order to prevent emergencies or critical situations where humans are the origin, a timely provision of information thus obtained for the coordinating services and the on-site staff (e.g., emergency dispatch centers, emergency physicians, police) is necessary. The detection of critical situations and the early alarming, e.g., in case of deterioration of the person’s health status or a critical incident in a public space like a stadium, could prevent acute emergency cases and the resulting negative impact on individual persons and the environment. To analyze the current situation, the human behavior must be understood, analyzed and modeled on the basis of, e.g., monitored activities, user mobility, and selected biological parameters. Only an integrated and comprehensive human behavior model can be the basis for the prevention of emergency cases. Integrated Human Behavior Model: Motivation and Components Understanding human behavior is a key issue for building intelligent environments, which are targeted to support their inhabitants in the fulfillment of their daily tasks and intentions, but also to pro-actively prevent undesired situations and to recognize alarming deviations from normal behavior. Applications for future intelligent environments range from monitoring and adaptive support for single persons to the analysis and anticipation of behavior in groups or large crowds. Possible application fields are user adaptive, intelligent homes serving the individual comfort or “smart workplaces” improving productivity and optimizing processes. Applications in the medical domain can support the individual care and monitoring of patients in hospitals, rehabilitation centers or at home. For the surveillance of public spaces, group dynamic processes – affected by individual behavior – can be modeled for the recognition of anomalies in large groups or for supporting guidance in evacuation situations. In the control of traffic systems and intelligent transportation systems, individualized guidance and flow control can take the preferences and current situation of the driver into account as well as possible influencing factors from surrounding traffic. Dagstuhl Seminar Proceedings 07462 Assisted Living Systems Models, Architectures and Engineering Approaches http://drops.dagstuhl.de/opus/volltexte/2008/1457