Driver’s over-trust on Advanced Driver Assistance Systems on passively protected railway crossings
Contribuinte(s) |
Ahram, T. Karwowski, W. Marek, T. |
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Data(s) |
19/07/2014
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Resumo |
Passively protected railway crossings are a major rail safety issue in Australia. Such crossings cannot be upgraded as such crossings are too numerous and the cost involved is prohibitive. Advanced Driver Assistance Systems (ADAS) have been shown to improve road safety and are widely used. These systems could be a solution to improve safety of passively protected crossings at a lower cost. Such complementary ADAS could result in driver’s over-trust due to the absence of Humane Machine Interface reflecting the quality of the information or the state of the ADAS (failure status). This paper demonstrates that driver’s exposure to crossing exhibiting fail-safe and non-fail safe properties could result in improperly allocating trust between technologies. We conducted a driving simulator study where participants (N=58) were exposed to three types of level crossing warning system on passive and active crossings. The results show that a significant proportion of participants over-trust the ADAS. Such drivers exhibit the same driving performance with the ADAS as when exposed to infrastructure based active crossing protection. They do not take the necessary safety precautions as they have a faster speed approach, reduced number of gaze toward the rail tracks and fail to stop at the crossing. |
Formato |
application/pdf |
Identificador | |
Relação |
http://eprints.qut.edu.au/73717/1/AHFE2014_Larue_Gregoire_585_for_eprints.pdf Larue, Gregoire S. & Rakotonirainy, Andry (2014) Driver’s over-trust on Advanced Driver Assistance Systems on passively protected railway crossings. In Ahram, T., Karwowski, W., & Marek, T. (Eds.) Proceedings of the 5th International Conference on Applied Human Factors and Ergonomics AHFE 2014, Krakow, Poland. |
Direitos |
Copyright 2014 Please consult the authors |
Fonte |
Centre for Accident Research & Road Safety - Qld (CARRS-Q); Faculty of Health; Institute of Health and Biomedical Innovation; School of Psychology & Counselling |
Palavras-Chave | #080502 Mobile Technologies #090507 Transport Engineering #111799 Public Health and Health Services not elsewhere classified #170202 Decision Making #Railway level crossings #Advanced Driver Assistance Systems |
Tipo |
Conference Paper |