Conference proceeding
Advanced vehicle technology: Mapping mental model accuracy and system exposure to driver behavior
Proceedings of the Human Factors and Ergonomics Society Annual Meeting, Vol.65(1), pp.1072-1076
09/2021
DOI: 10.1177/1071181321651086
Abstract
Advanced driver assistance systems have potential to increase safety and comfort for drivers; however, drivers need to understand the capabilities and limitations of these systems to use them appropriately. This study sought to explore how the quality (accuracy) of drivers’ mental models of adaptive cruise control (ACC) impacted their behavior and interactions while using the system. Seventy-eight participants drove in a high-fidelity driving simulator while operating an ACC system, in normal conditions and while interacting with the system interface. Participants with stronger (more accurate) mental models glanced to the road ahead more often during normal conditions early on compared to drivers were less accurate mental models; however, these differences diminished with increased system exposure. Glance behavior while interacting with the system and time to complete the interactions were less effected by the strength of the participant’s mental model. Results are discussed in the context of driver education and training.
Details
- Title: Subtitle
- Advanced vehicle technology: Mapping mental model accuracy and system exposure to driver behavior
- Creators
- Aaron Benson - AAA Foundation for Traffic SafetyJoanne But - AAA Foundation for Traffic SafetyJohn Gaspar - University of IowaCher Carney - University of IowaWilliam J. Horrey - AAA Foundation for Traffic Safety
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings of the Human Factors and Ergonomics Society Annual Meeting, Vol.65(1), pp.1072-1076
- DOI
- 10.1177/1071181321651086
- ISSN
- 2169-5067
- eISSN
- 2169-5067
- Language
- English
- Date published
- 09/2021
- Academic Unit
- Iowa Technology Institute; Driving Safety Research Institute; Injury Prevention Research Center; Public Policy Center (Archive)
- Record Identifier
- 9984285616502771
Metrics
133 Record Views