Glance behaviours when using an in-vehicle smart driving aid : a real-world, on-road driving study

In-vehicle information systems (IVIS) are commonplace in modern vehicles, from the initial satellite navigation and in-car infotainment systems, to the more recent driving related Smartphone applications. Investigating how drivers interact with such systems when driving is key to understanding what factors need to be considered in order to minimise distraction and workload issues while maintaining the benefits they provide. This study investigates the glance behaviours of drivers, assessed from video data, when using a smart driving Smartphone application (providing both eco-driving and safety feedback in real-time) in an on-road study over an extended period of time. Findings presented in this paper show that using the in-vehicle smart driving aid during real-world driving resulted in the drivers spending an average of 4.3% of their time looking at the system, at an average of 0.43 s per glance, with no glances of greater than 2 s, and accounting for 11.3% of the total glances made. This allocation of visual resource could be considered to be taken from ‘spare’ glances, defined by this study as to the road, but off-centre. Importantly glances to the mirrors, driving equipment and to the centre of the road did not reduce with the introduction of the IVIS in comparison to a control condition. In conclusion an ergonomically designed in-vehicle smart driving system providing feedback to the driver via an integrated and adaptive interface does not lead to visual distraction, with the task being integrated into normal driving.

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

[2]  Catherine M. Burns,et al.  Ecological Interface Design , 2004 .

[3]  Paul Green,et al.  Examination of a Videotape-Based Method to Evaluate the Usability of Route Guidance and Traffic Information Systems , 1993 .

[4]  Stewart A. Birrell,et al.  A Smart Driving Smartphone Application: Real-World Effects on Driving Performance and Glance Behaviours , 2013 .

[5]  Berthold Färber,et al.  Driver distraction based lane-keeping assistance , 2009 .

[6]  Thomas A. Dingus,et al.  An Evaluation of the Effectiveness and Efficiency of an Automobile Moving-Map Navigational Display , 1990, Int. J. Man Mach. Stud..

[7]  Louis Tijerina,et al.  MODELLING THE RELATIONSHIP BETWEEN DRIVER IN-VEHICLE VISUAL DEMANS AND ACCIDENT OCCURRENCE , 1998 .

[8]  K. Renge,et al.  THE EFFECT OF DRIVING EXPERIENCE ON DRIVER'S VISUAL ATTENTION. AN ANALYSIS OF OBJECTS LOOKED AT, USING THE VERBAL REPORT METHOD , 1980 .

[9]  Thomas A. Dingus,et al.  The Impact of Driver Inattention on Near-Crash/Crash Risk: An Analysis Using the 100-Car Naturalistic Driving Study Data , 2006 .

[10]  Terry C. Lansdown,et al.  Driver visual allocation and the introduction of intelligent transport systems , 2000 .

[11]  U Kramer,et al.  A model of driver behaviour. , 1982, Ergonomics.

[12]  Mark S. Young,et al.  The impact of smart driving aids on driving performance and driver distraction , 2011 .

[13]  Johan Engström,et al.  Effects of visual and cognitive load in real and simulated motorway driving , 2005 .

[14]  Walter W. Wierwille,et al.  DEMANDS ON DRIVER RESOURCES ASSOCIATED WITH INTRODUCING ADVANCED TECHNOLOGY INTO THE VEHICLE , 1993 .

[15]  Mark S. Young,et al.  Ecological IVIS design: using EID to develop a novel in-vehicle information system , 2012 .

[16]  B L Cole,et al.  What attracts attention when driving? , 1986, Ergonomics.

[17]  Yulan Liang,et al.  Driver performance effects of simultaneous visual and cognitive distraction and adaptation behavior , 2012 .

[18]  T H Rockwell,et al.  Spare Visual Capacity in Driving-Revisited: New Empirical Results for an Old Idea , 1988 .

[19]  Paul Green,et al.  Task time and glance measures of the use of telematics: a tabular summary of the literature , 2004 .

[20]  Thomas A. Dingus,et al.  Attentional demand requirements of an automobile moving-map navigation system , 1989 .

[21]  Anne Marsden,et al.  International Organization for Standardization , 2014 .

[22]  Mark S. Young,et al.  Cognitive Work Analysis for safe and efficient driving , 2012 .

[23]  Stewart A. Birrell,et al.  Studying the Effects of In-vehicle Information Systems on Driver Visual Behaviour - Implications for Design , 2013 .

[24]  Christopher D. Wickens,et al.  In-Vehicle Glance Duration , 2007 .

[25]  B. Metz,et al.  Attention during visual secondary tasks in driving: Adaptation to the demands of the driving task , 2011 .

[26]  Cristy Ho,et al.  Crossmodal Information Processing in Driving , 2009 .

[27]  Johan Engström,et al.  Sensitivity of eye-movement measures to in-vehicle task difficulty , 2005 .