Study on Aiding-level Judgment of Pilot Assistant System
Kong Fan-e · Jisuanji fangzhen · 2009
The aiding-level judging methods and architectures of intelligent assistant system were investigated from the perspective of system and human coordination and cooperation. The judging principles and methods based on task and function decomposition were proposed. Utility assessment modeling based on probability theory was realized. Aiding-level was decided by the difference of benefit-cost value between system and human. The mathematics model was integrated into the human-machine interface of assistant system for realizing the dynamic aiding-level judgment. The method was the fundament of function allocation based on variable autonomy level. The effectiveness and feasibility of quantitative model applied in engineering was demonstrated by the simulation.