Using Cognitive Workload for Adaptive Games for Training

Pardee RAND Students Involved: Brian Mills



Commercially available brain computer interfaces can help link users to a virtual environment not just with a keyboard of joystick but with their thoughts. This experiment involves using a basic electroencephalogram (EEG) system for monitoring cognitive activity. Output from this system can then then dictate how a VR-based “serious” game for training proceeds. If the user is not challenged, the game automatically adjusts and becomes more difficult. If the user becomes more stressed in particular situations, the virtual environment can again adjust accordingly. Ultimately, this kind of system may help improve training. But, the policy implications of monitoring a trainee’s cognitive activity are significant and warrant consideration.