Advanced Driver Assistance Systems (ADAS) and Automated Driving Systems (ADS) promise to enhance driving safety and comfort, yet their complexity often leads to mode confusion, where drivers misunderstand or remain unaware of a vehicle’s operational mode. We conducted a targeted literature search and analyzed a survey dataset (N=838) to identify the contextual, vehicle-related, and driver-specific factors most likely to shape drivers’ mental models of ADAS. Preliminary results suggest that age, driving distance, and car ownership are particularly salient in predicting “I don’t know if I use it” responses to features such as Adaptive Cruise Control, Lane Keeping Assistance, and Lane Departure Warning. Building on these insights, we propose a conceptual model that highlights key factors underpinning driver mental model misalignment with ADAS functionality. Future work will systematically validate this model through a dedicated questionnaire, aiming to minimize mode confusion and foster safer ADAS usage.