Anticipating Human Decision for an Optimal Teaming Between Manned and Unmanned Systems

We propose to include “anticipatory thinking” ability to predict human decision-making in a manned-unmanned teaming (MUM-T) system. In particular, the prediction will be leveraged to augment the “preparedness” of the unmanned vehicles in reacting optimally (with minimal delay) to the subsequent tasks to be assigned by the human operator. With this, we intend to reduce the persistent use of the automated suggestions of complex plans for task assignment, often exploited to compensate for human incapacity in “looking ahead”. By doing so, we optimize human autonomy in decision making for complex MUM-T operations.