ABSTRACT
The Institute of Flight Systems (IFS) oversees a 20-year research agenda on knowledge-based assistant systems in vehicle guidance work processes that provide an alternative way of human–automation co-action. Such assistant systems have proven their potential to overcome human factors-related problems associated with more traditional purely technology driven automation philosophies (Prévôt, Gerlach, Ruckdeschel, Wittig & Onken, 1995; Schulte & Stütz, 1998). This approach is denoted by the term of Dual-Mode Cognitive Automation (DMCA), which will be explained in more detail below. Automation derived from the proposed design principles represent a cognitive system engineering approach to handle workload-induced problems by providing situation adapted hints, warnings, and decision-aids while actively keeping the human operator in the loop.
