Abstract
For the appropriate design of Advanced Driver Assistance Systems (ADAS) and Automated Driving (AD) systems, it is important to understand the process of driver-automation interaction and the factors affecting this interaction. In order to develop a part of this understanding, an exploratory driving simulator study with fifteen participants was conducted. The study design divided the participants into two groups: low capability automated system and high capability automated system. The study showed that providing knowledge about the capability of the automated system to the participants increased their overall trust in the automated system. However, it also increased their workload during the driving task. Increase in workload with knowledge was lower for high capability automated systems as compared to low capability automated systems. Therefore, while there is a need to inform the driver about the true capabilities of the system, there is a need to increase the capability of the systems to avoid increasing drivers’ workload too much.
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Acknowledgments
This research is supported by the EPSRC (Grant EP/K011618/1). The authors would like to thank WMG, University of Warwick, UK and the WMG centre HVM Catapult, for providing the necessary infrastructure for carrying out this work. WMG hosts one of the seven centres that together comprise the High Value Manufacturing Catapult in the UK.
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Khastgir, S., Birrell, S., Dhadyalla, G., Jennings, P. (2019). Effect of Knowledge of Automation Capability on Trust and Workload in an Automated Vehicle: A Driving Simulator Study. In: Stanton, N. (eds) Advances in Human Aspects of Transportation. AHFE 2018. Advances in Intelligent Systems and Computing, vol 786. Springer, Cham. https://doi.org/10.1007/978-3-319-93885-1_37
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