Mapping drivers’ mental models of adaptive cruise control to performance

John G. Gaspar1, Cher Carney1, Emily Shull2, William J. Horrey3
1National Advanced Driving Simulator, University of Iowa, United States
2College of Engineering, University of Iowa, United States
3AAA Foundation for Traffic Safety, United States

Tài liệu tham khảo

AAA Foundation for Traffic Safety, 2018 Beggiato, 2014, Changes in motivational and higher level cognitive processes when interacting with in-vehicle automation, [Dissertation, Technischen Universität Chemnitz]. Beggiato, 2013, The evolution of mental model, trust and acceptance of adaptive cruise control in relation to initial information, Transportation Research Part F: Traffic Psychology and Behaviour, 18, 47, 10.1016/j.trf.2012.12.006 Beggiato, 2015, Learning and development of trust, acceptance and the mental model of ACC. A longitudinal on-road study, Transportation Research Part F: Traffic Psychology and Behaviour, 35, 75, 10.1016/j.trf.2015.10.005 Dickie, 2009 Falzon, 1982, Display structures: Compatibility with the operator's mental representation and reasoning process, 297 Fisher, 2020 Forster, 2019, What and how to tell beforehand: The effect of user education on understanding, interaction and satisfaction with driving automation, Transportation Research Part F: Traffic Psychology and Behaviour, 68, 316, 10.1016/j.trf.2019.11.017 Hu, 2021, Data-driven Estimation of Driver Attention using Calibration-free Eye Gaze and Scene Features, IEEE Transactions on Industrial Electronics Johnson-Laird, 1983 Kessel, 1982, The transfer of failure-detection skills between monitoring and controlling dynamic systems, Human Factors, 24, 49, 10.1177/001872088202400106 Lee, 2004, Trust in automation: Designing for appropriate reliance, Human Factors, 46, 50, 10.1518/hfes.46.1.50.30392 McDonald, 2018 Bianchi Piccinini, 2015, Reaction to a critical situation during driving with Adaptive Cruise Control for users and non-users of the system, Safety Science, 72, 116, 10.1016/j.ssci.2014.09.008 Piccinini, 2012, Effects on driving task and road safety impact induced by the usage of adaptive cruise control (ACC): A focus group study, International Journal of Human Factors and Ergonomics, 1, 234, 10.1504/IJHFE.2012.050870 Pradhan, 2020, under review). A proposed framework for identifying and predicting operator errors when using advanced vehicle technologies. TrafficTransportation Research, Record., 2674, 105 R Core Team, 2016 Rouse, 1986, On looking into the black box: Prospects and limits in the search for mental models, Psychological Bulletin, 100, 349, 10.1037/0033-2909.100.3.349 Seppelt, 2020, Driver’s mental model of vehicle automation, 55 Singer, 2020 Victor, 2018, Automation expectation mismatch: Incorrect prediction despite eyes on threat and hands on wheel, Human Factors, 60, 1095, 10.1177/0018720818788164 Xing, 2018, Driver workload estimation using a novel hybrid method of error reduction ratio causality and support vector machine, Measurement, 114, 390, 10.1016/j.measurement.2017.10.002 Xiong, 2012, Use patterns among early adopters of adaptive cruise control, Human Factors, 54, 722, 10.1177/0018720811434512