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Advanced vehicle technology: Mapping mental model accuracy and system exposure to driver behavior
Conference proceeding   Open access

Advanced vehicle technology: Mapping mental model accuracy and system exposure to driver behavior

Aaron Benson, Joanne But, John Gaspar, Cher Carney and William J. Horrey
Proceedings of the Human Factors and Ergonomics Society Annual Meeting, Vol.65(1), pp.1072-1076
09/2021
DOI: 10.1177/1071181321651086
url
https://doi.org/10.1177/1071181321651086View
Published (Version of record) Open Access

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.

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