SYSTEMS AND METHODS FOR PREDICTING DISSONANCE DURING SHARED CONTROL OF A VEHICLE

Systems, methods, and other embodiments described herein relate to detecting dissonance by an operator using a learning model during shared control involving a driving scenario from an operator preference and cue for adapting a driving model. In one embodiment, a method includes detecting characteristics about a driving scenario and an operator from acquired sensor data and an operator factor. The method also includes predicting dissonance for an automated takeover using a learning model with the characteristics, a driving command, and a cue about the operator. The method also includes adapting a shared-driving model (SDM) associated with a vehicle during a maneuver using the dissonance.