Emergency, Automation Off: Unstructured Transition Timing for Distracted Drivers of Automated Vehicles

In future automated driving systems, drivers will be free to perform other secondary tasks, not needing to stay vigilant in monitoring the car's activity. However, there will still be situations in which drivers are required to take-over control of the vehicle, most likely from a highly distracted state. While highly automated vehicles would ideally accommodate structured takeovers, providing ample time and warning, it is still very important to examine how drivers would behave when they are subjected to an unstructured emergency transition of control. In this study, we observed how participants (N=30) in a driving simulator performed after they experienced a loss of automation. We tested three transition time conditions, with an unstructured transition of control occurring 2 seconds, 5 seconds, or 8 seconds before the participants encountered a road hazard that required the drivers' intervention. Participants were given a passive distraction (watching a video) to do while the automated driving mode was enabled, so they needed to disengage from the task and regain control of the car when the transition occurred. Few drivers in the 2 second condition were able to safely negotiate the road hazard situation, while the majority of drivers in the 5 or 8 second conditions were able to navigate the hazard safely. Similarly, drivers in the 2 second condition rated the vehicle to be less trustworthy than drivers in the 5 and 8 second conditions. From the study results, we are able to narrow down a minimum amount of time in which drivers can take over the control of vehicle safely and comfortably from the automated system in the advent of an impending road hazard.

[1]  Klaus Bengler,et al.  Ubernahmezeiten beim hochautomatisierten Autofahren , 2012 .

[2]  Mascha C. van der Voort,et al.  The influence of time-criticality on Situation Awareness when retrieving human control after automated driving , 2013, ITSC.

[3]  Joris C Verster,et al.  Standard operation procedures for conducting the on-the-road driving test, and measurement of the standard deviation of lateral position (SDLP) , 2011, International journal of general medicine.

[4]  Klaus Bengler,et al.  How Traffic Situations and Non-Driving Related Tasks Affect the Take-Over Quality in Highly Automated Driving , 2014 .

[5]  C. Chabris,et al.  Gorillas in Our Midst: Sustained Inattentional Blindness for Dynamic Events , 1999, Perception.

[6]  Mica R. Endsley,et al.  Toward a Theory of Situation Awareness in Dynamic Systems , 1995, Hum. Factors.

[7]  Klaus Bengler,et al.  “Take over!” How long does it take to get the driver back into the loop? , 2013 .

[8]  Dario D. Salvucci,et al.  Threaded cognition: an integrated theory of concurrent multitasking. , 2008, Psychological review.

[9]  Marika Hoedemaeker,et al.  Driver behavior in an emergency situation in the Automated Highway System , 1999 .

[10]  Jacques Bergeron,et al.  Monotony of road environment and driver fatigue: a simulator study. , 2003, Accident; analysis and prevention.

[11]  K A Brookhuis,et al.  The effects of mobile telephoning on driving performance. , 1991, Accident; analysis and prevention.

[12]  Wijnand A. IJsselsteijn,et al.  Presence: concept, determinants, and measurement , 2000, Electronic Imaging.

[13]  Wendy Ju,et al.  Timing of unstructured transitions of control in automated driving , 2015, 2015 IEEE Intelligent Vehicles Symposium (IV).

[14]  Mark S. Young,et al.  Attention and automation: New perspectives on mental underload and performance , 2002 .

[15]  David Shinar,et al.  Imperfect in-vehicle collision avoidance warning systems can aid distracted drivers , 2007 .