Detection of new in-path targets by drivers using Stop & Go Adaptive Cruise Control

• Published in: Applied ergonomics Vol. 42; no. 4; pp. 592 - 601
• Main Authors: Stanton, Neville A., Dunoyer, Alain, Leatherland, Adam
• Format: Journal Article
• Language: English
• Published: England Elsevier Ltd 01.05.2011; Elsevier Science Ltd
• Subjects: Adult; Attention - physiology; Automation; Automation - instrumentation; Automation - methods; Automobile drivers; Automobile Driving - psychology; Automobiles; Awareness; Cognition; Cruise control; Driver; Driving; Female; Human performance; Humans; Male; Psychometrics; Radar; Responses; Situation awareness; Statistics, Nonparametric; Task Performance and Analysis; Workload; Workload - psychology; Workloads; Young Adult; Driving; Situation awareness; Driver; Automation; Cruise control; Workload
• ISSN: 0003-6870; 1872-9126
• DOI: 10.1016/j.apergo.2010.08.016

This paper reports on the design and evaluation of in-car displays used to support Stop & Go Adaptive Cruise Control. Stop & Go Adaptive Cruise Control is an extension of Adaptive Cruise Control, as it is able to bring the vehicle to a complete stop. Previous versions of Adaptive Cruise Control have only operated above 26 kph. The greatest concern for these technologies is the appropriateness of the driver’s response in any given scenario. Three different driver interfaces were proposed to support the detection of modal, spatial and temporal changes of the system: an iconic display, a flashing iconic display, and a representation of the radar. The results show that drivers correctly identified more changes detected by the system with the radar display than with the other displays, but higher levels of workload accompanied this increased detection.