Distraction Becomes Engagement in Automated Driving

As vehicle automation proliferates, the current emphasis on preventing driver distraction needs to transition to maintaining driver availability. During automated driving, vehicle operators are likely to use brought-in devices to access entertainment and information. Do these media devices need to be controlled by the vehicle in order to manage driver attention? In a driving simulation study (N=48) investigating driver performance shortly after transitions from automated to human control, we found that participants watching videos or reading on a tablet were far less likely (6% versus 27%) to exhibit behaviors indicative of drowsiness than when overseeing the automated driving system; irrespective of the pre-driving activity, post- transition driving performance after a five-second structured handoff was not impaired. There was not a significant difference in collision avoidance reaction time or minimum headway distance between supervision and media consumption conditions, irrespective of whether messages were presented on the tablet device, or only presented on the instrument panel, or whether there was a single or two-stage handoff.

[1]  Saman K. Halgamuge,et al.  Driver Fatigue Detection by Fusing Multiple Cues , 2007, ISNN.

[2]  R. Yerkes,et al.  The relation of strength of stimulus to rapidity of habit‐formation , 1908 .

[3]  Mary L. Cummings,et al.  Using Variable-Rate Alerting to Counter Boredom in Human Supervisory Control , 2012 .

[4]  P. Hancock,et al.  In search of vigilance: the problem of iatrogenically created psychological phenomena. , 2013, The American psychologist.

[5]  Keli A Braitman,et al.  Cell Phone Use While Driving and Attributable Crash Risk , 2010, Traffic injury prevention.

[6]  Natasha Merat,et al.  Transition to manual: driver behaviour when resuming control from a highly automated vehicle , 2014 .

[7]  Catherine Neubauer,et al.  Fatigue in the Automated Vehicle , 2014 .

[8]  Bryant Walker Smith,et al.  Automated Vehicles Are Probably Legal in the United States , 2012 .

[9]  Ton Roosendaal,et al.  Big Buck Bunny , 2008, SIGGRAPH ASIA Computer Animation Festival.

[10]  A. Maclean,et al.  The hazards and prevention of driving while sleepy. , 2003, Sleep medicine reviews.

[11]  Willem B. Verwey,et al.  Predicting drowsiness accidents from personal attributes, eye blinks and ongoing driving behaviour , 2000 .

[12]  Clifford Nass,et al.  Partially intelligent automobiles and driving experience at the moment of system transition , 2014, CHI.

[13]  Mica R. Endsley,et al.  The Out-of-the-Loop Performance Problem and Level of Control in Automation , 1995, Hum. Factors.

[14]  Bryan Reimer,et al.  Classifying driver workload using physiological and driving performance data: two field studies , 2014, CHI.

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

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

[17]  Thomas B. Sheridan,et al.  Human and Computer Control of Undersea Teleoperators , 1978 .