Adaptive Support for Human-Computer Teams

Increasing machine intelligence leads to a shift from a mere interactive to a much more complex cooperative human-machine relation requiring a multidisciplinary development approach. This paper presents a generic multidisciplinary cognitive engineering method CE+ for the integration of human factors and artificial intelligence in the development of human-machine cooperation. Four case-studies are presented which contain a description of the developed human-machine cooperation and the adjusted CE+ method used. For each case-study the method supported research and development activities in such a way that sound knowledge bases, methodologies, and user interfaces for human-machine cooperation could be established. However, the method always needed to be tailored to the specific goals and circumstances, such as the available time, novelty, and required integration.