"Are You Ready to Take-over?": An Exploratory Study on Visual Assistance to Enhance Driver Vigilance

In the near future, drivers are expected to face vulnerability under the takeover phase in automated cars of level 2 or 3. We focused on the problem resulted from decreased vigilance and difficulties in shifting attention while drivers take over the control from the automatic mode. In order to address this problem, we explored "VACT (Visual Assistance Concept for Takeover)", which applies dynamicity to shift visual attention. From a thorough literature review, we have come up with two windshield interface concepts to enhance drivers' vigilance and readiness before the takeover: Useful Field of View (UFOV) and Object-View (OV) Interface. To evaluate the UI concepts, an in-lab experiment was conducted with 57 participants in a semi-naturalistic driving environment. Implications for interface design of visual assistance and its impact on brake reaction time, mental workload and perceived usefulness are discussed.

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

[2]  Jason S. McCarley,et al.  Mind Wandering Behind the Wheel , 2011, Hum. Factors.

[3]  Florian Alt,et al.  A Design Space to Support the Development of Windshield Applications for the Car , 2016, CHI.

[4]  Barry D. Vaughan,et al.  Object-Based Visual Selection: Evidence From Perceptual Completion , 1998 .

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

[6]  Alessandro Soro,et al.  Using Augmented Video to Test In-Car User Experiences of Context Analog HUDs , 2014, AutomotiveUI.

[7]  Wendy Ju,et al.  Distraction Becomes Engagement in Automated Driving , 2015 .

[8]  Moshe Eizenman,et al.  An on-road assessment of cognitive distraction: impacts on drivers' visual behavior and braking performance. , 2007, Accident; analysis and prevention.

[9]  Linda Ng Boyle,et al.  Extending the Technology Acceptance Model to assess automation , 2011, Cognition, Technology & Work.

[10]  Alexandra Neukum,et al.  The effect of urgency of take-over requests during highly automated driving under distraction conditions , 2014 .

[11]  Cynthia Owsley,et al.  Vision and driving , 2010, Vision Research.

[12]  Gayla M. Cissell,et al.  The longitudinal impact of cognitive speed of processing training on driving mobility. , 2009, The Gerontologist.

[13]  Michael A. Nees,et al.  Speech Auditory Alerts Promote Memory for Alerted Events in a Video-Simulated Self-Driving Car Ride , 2016, Hum. Factors.

[14]  D. Roth,et al.  Relation of Useful Field of View and other Screening Tests to on-Road Driving Performance , 2000, Perceptual and motor skills.

[15]  S. Hart,et al.  Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research , 1988 .

[16]  B. Scholl Objects and attention: the state of the art , 2001, Cognition.

[17]  Andreas Butz,et al.  Contact-analog warnings on windshield displays promote monitoring the road scene , 2015, AutomotiveUI.

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

[19]  Z W Pylyshyn,et al.  Tracking multiple independent targets: evidence for a parallel tracking mechanism. , 1988, Spatial vision.

[20]  D. Roth,et al.  Cumulative Meta-analysis of the Relationship Between Useful Field of View and Driving Performance in Older Adults: Current and Future Implications , 2005, Optometry and vision science : official publication of the American Academy of Optometry.

[21]  Fridulv Sagberg,et al.  Hazard perception and driving experience among novice drivers. , 2006, Accident; analysis and prevention.

[22]  Wendy Ju,et al.  Emergency, Automation Off: Unstructured Transition Timing for Distracted Drivers of Automated Vehicles , 2015, 2015 IEEE 18th International Conference on Intelligent Transportation Systems.

[23]  Gerhard Rigoll,et al.  Contact-analog information representation in an automotive head-up display , 2008, ETRA '08.

[24]  R. Abrams,et al.  Motion Onset Captures Attention , 2003, Psychological science.

[25]  Lutz Lorenz,et al.  Designing take over scenarios for automated driving , 2014 .

[26]  Klaus Bengler,et al.  Evaluation of a Contact Analog Head-Up Display for Highly Automated Driving , 2012 .

[27]  Christopher D. Wickens,et al.  Multiple resources and performance prediction , 2002 .