Document Type
Report
Abstract
Advanced Driver Assistance Systems (ADAS) offer safety benefits by handling active driving tasks. However, due to limited operational design domain, these systems may require driver intervention, making drivers’ mental models about system limitations and capabilities an important factor when operating them. Literature suggests most drivers are uninformed or unaware of their systems (McDonald et al, 2018), lacking complete or accurate mental models. Mental models (MM) are described as reflections of operators’ knowledge of system’s purpose and various functioning states (Seppelt & Victor, 2020). Incomplete MM of systems’ limitations may also adversely affect drivers’ hazard avoidance behavior.
Publication Date
2022
Recommended Citation
Pai Mangalore, Ganesh, "Evaluating Mixed Reality Training for Calibrating Operators’ Mental Models of Advanced Driver Assistance Systems" (2022). Link Foundation Modeling, Simulation and Training Fellowship Reports. 7.
https://repository.fit.edu/link_modeling/7
Comments
Link Foundation Fellowship for the years 2020-2022.