Tag: driver behavior
User Interactions with Vehicle Automation Technologies: A Review of Previous Research and a Proposed Framework
This research brief reviews recent research and proposes a framework on user perceptions, understanding, and interactions with vehicle automation technology.
January 2023 Research Brief
Driver’s Mental Models of Advanced Vehicle Technologies: A Proposed Framework for Identifying and Predicting Operator Errors
This project proposes a framework for identifying and predicting operator errors when using advanced vehicle technology, such as active driving assistance systems. This research also examined the reporting of system limitations by automobile manufacturers.
February 2021 Technical Report | Report Summary
Driver’s Arousal and Workload under Partial Vehicle Automation
This research examines driver workload and arousal when driving different vehicles equipped with advanced driver assistance systems (ADAS). In an on-road study, drivers from two age groups drove on different road types under manual or automated conditions.
September 2020 Technical Report | Report Summary
The Impact of Driver’s Mental Models of Advanced Vehicle Technologies on Safety and Performance
This research examines how the quality of a driver’s understanding of advanced vehicle technology, also known as a mental model, impacts his or her performance and safety. Drivers with weak or strong mental models encountered safety-critical events in a driving simulator.
June 2020 Technical Report | Report Summary
Understanding the Impact of Technology: Do Advanced Driver Assistance and Semi-Automated Vehicle Systems Lead to Improper Driving Behavior?
This research examines driver behavior when driving vehicles equipped with advanced driver assistance systems (ADAS), such as adaptive cruise control or lane-keep assist. Information regarding driver behaviors was drawn from two naturalistic driving studies.
December 2019 Technical Report | Report Summary