Change in Mental Models of ADAS in Relation to Quantity and Quality of Exposure
Advanced Driver Assistance Systems (ADAS) support drivers with some driving tasks. However, drivers may lack appropriate knowledge about ADAS (referred to as their mental model), which can translate to drivers misusing or mistrusting the technologies, especially in situations beyond the capability of the system (i.e., edge cases). Past research suggests that mental models may be improved through exposure to ADAS-related driving situations, especially those related to the system capabilities as well as limitations.
The goal of this project, based on a cooperative agreement between the AAA Foundation for Traffic Safety and the SAFER-SIM University Transportation Center, was to examine the impact of different numbers and types of edge-case events on drivers’ understanding of Adaptive Cruise Control (ACC), their trust, their workload, and their use of the systems after driving with ACC.
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