An image classifier (100, Fig 1) classifies a scanned image and extracts a reference object image where a simulator (102) then generates an embedded message from the reference input with simulated display features. The visual display unit, or VDU (104), displays the embedded message. The plant (106) is presented the embedded message. The operator's reaction in terms of vehicle control system is measured as plant's output. The emulator (106) models human sensory sensitivities and reaction and contains a neural network. A reference model (110) is used to establish a desired plant response. Error is calculated and compared with a stored error. The user profile (120) stores the operator's preconscious sensitiviey in terms of display features for optimal priming.
METHOD AND DEVICE FOR ADAPTIVE CONTROL