(Over)Trust in Automated Driving: The Sleeping Pill of Tomorrow?

Both overtrust in technology and drowsy driving are safety-critical issues. Monitoring a system is a tedious task and overtrust in technology might also influence drivers' vigilance, what in turn could multiply the negative impact of both issues. The aim of this study was to investigate if trust in automation affects drowsiness. 30 participants in two age groups conducted a 45-minute ride in a level-2 vehicle on a real test track. Trust was assessed before and after the ride with a subjective trust scale. Drowsiness was captured during the experiment using the Karolinska Sleepiness Scale. Results depict, that even a short initial system exposure significantly increases trust in automated driving. Drivers who trust the automated vehicles more show larger signs of drowsiness what may negatively impact the monitoring behavior. Drowsiness detection is important for automated vehicles, and the behavior of drowsy drivers might help to infer trust in an unobtrusively way.

[1]  Andreas Riener,et al.  Drowsiness Detection and Warning in Manual and Automated Driving: Results from Subjective Evaluation , 2018, AutomotiveUI.

[2]  Raja Parasuraman,et al.  Humans and Automation: Use, Misuse, Disuse, Abuse , 1997, Hum. Factors.

[3]  Bruce N. Walker,et al.  Trust Calibration through Reliability Displays in Automated Vehicles , 2017, HRI.

[4]  Philipp Wintersberger,et al.  Traffic Augmentation as a Means to Increase Trust in Automated Driving Systems , 2017, CHItaly.

[5]  T. Åkerstedt,et al.  Subjective and objective sleepiness in the active individual. , 1990, The International journal of neuroscience.

[6]  Alexander Kunze,et al.  Enhancing Driving Safety and User Experience Through Unobtrusive and Function-Specific Feedback , 2017, AutomotiveUI.

[7]  Bastian Pfleging,et al.  Investigating user needs for non-driving-related activities during automated driving , 2016, MUM.

[8]  L. Bainbridge Ironies of Automation , 1982 .

[9]  Mark R. Lehto,et al.  Foundations for an Empirically Determined Scale of Trust in Automated Systems , 2000 .

[10]  Wendy Ju,et al.  Why did my car just do that? Explaining semi-autonomous driving actions to improve driver understanding, trust, and performance , 2014, International Journal on Interactive Design and Manufacturing (IJIDeM).

[11]  Philipp Wintersberger,et al.  Trust in Technology as a Safety Aspect in Highly Automated Driving , 2016, i-com.

[12]  John D. Lee,et al.  Trust in Automation: Designing for Appropriate Reliance , 2004, Hum. Factors.

[13]  Klaus Bengler,et al.  Trust in Automation – Before and After the Experience of Take-over Scenarios in a Highly Automated Vehicle☆ , 2015 .

[14]  Alan R. Wagner,et al.  Overtrust in the robotic age , 2018, Commun. ACM.

[15]  Robin Williams,et al.  Trust in Technology , 2006 .

[16]  Thomas A. Dingus,et al.  Prevalence of Drowsy Driving Crashes: Estimates from a Large-Scale Naturalistic Driving Study , 2018 .

[17]  Masooda Bashir,et al.  Trust in Automation , 2015, Hum. Factors.