Assisting human decision making with intelligent technologies

Abstract

The human decision making process has been characterized as relatively sequential, limited by cognitive processes, and influenced by previous experience. Under conditions associated with real-time decisions, humans can experience emotional intensity, information overload, and other stressors that often affect their choices. Decision making becomes more complex with distributed teams, collaboration across global boundaries, the speed of information refresh, and the quantity of information available through networked sources. Intelligent decision support systems attempt to address these issues and assist human decision making by developing systems that integrate capabilities from the human user and computational intelligence. This keynote address presents background and research directions needed to advance intelligent decision support systems, and proposes an architectural framework to guide design and evaluation. © 2008 Springer-Verlag Berlin Heidelberg.