The HFASt Lab conducts research on understanding and improving human behaviour and performance in multi-task and complex situations, using a wide range of analytical techniques. The application areas include surface transportation, healthcare, mining, and unmanned vehicle supervisory control.
Training to improve drivers’ mental models of ADAS and support appropriate reliance
Advanced driver assistance systems (ADAS) are available in an increasing number of vehicles, however, drivers receive little or no training on how to use ADAS safely. Through a survey, we found that many drivers overestimate the capabilities of adaptive cruise control (ACC) and lane keeping assist (LKA). In addition, drivers who owned vehicles with ACC and LKA did not seem to have a better understanding of these systems compared to drivers who had never used ACC or LKA. Our current research involves designing ADAS training and investigating its effectiveness at improving drivers’ understanding of ACC and LKA and supporting appropriate trust and reliance on these systems. Learn more about this research.