Abstract
This research was supported in part by the Automotive Research Center (ARC) at the University of Michigan, with funding from government contract Department of the Army W56HZV-14-2-0001 through the U. S. Army Tank Automotive Research, Development, and Engineering Center (TARDEC). The authors acknowledge and greatly appreciate the guidance of Victor Paul (TARDEC), Ben Haynes (TARDEC), and Jason Metcalfe (ARL) in helping design the study. The authors would also like to thank Quantum Signal, LLC, for providing its ANVEL software and invaluable development support.
Highlights
Driver assistance systems embedded in autonomous and semi-autonomous vehicles have the potential to increase driving safety while providing human drivers with the flexibility to address other pressing issues that they could not address while manually driving [29].prior research suggests that not all drivers trust automated driving systems [2, 42, 46]
Each of the observations per condition was nested within an individual, violating one of the assumptions of ordinary least squares regarding the independence of observation
This study demonstrated the importance of driver assistance systems in supporting situational awareness (SA) to facilitate trust in automation
Summary
Prior research suggests that not all drivers trust automated driving systems [2, 42, 46] This lack of trust prevents drivers from either handing over driving responsibility or fully focusing on a secondary (i.e., non-driving) task [10]. In the former case, the driver fails to complete the secondary task. We leverage both definitions and define trust in AVs as the willingness of an individual to be vulnerable to the actions of an AV based on the attitude that the AV will help them achieve their goals. Trust in an autonomous vehicle has been identified as a vital determinant of whether the driver will employ an autonomous vehicle [2, 5, 42, 46]
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