Driver Gaze Behavior Is Different in Normal Curve Driving and when Looking at the Tangent Point

Several steering models in the visual science literature attempt to capture the visual strategies in curve driving. Some of them are based on steering points on the future path (FP), others on tangent points (TP). It is, however, challenging to differentiate between the models’ predictions in real–world contexts. Analysis of optokinetic nystagmus (OKN) parameters is one useful measure, as the different strategies predict measurably different OKN patterns. Here, we directly test this prediction by asking drivers to either a) “drive as they normally would” or b) to “look at the TP”. The design of the experiment is similar to a previous study by Kandil et al., but uses more sophisticated methods of eye–movement analysis. We find that the eye-movement patterns in the “normal” condition are indeed markedly different from the “tp” condition, and consistent with drivers looking at waypoints on the future path. This is the case for both overall fixation distribution, as well as the more informative fixation–by–fixation analysis of OKN. We find that the horizontal gaze speed during OKN corresponds well to the quantitative prediction of the future path models. The results also definitively rule out the alternative explanation that the OKN is produced by an involuntary reflex even while the driver is “trying” to look at the TP. The results are discussed in terms of the sequential organization of curve driving.

[1]  Kerry Hourigan,et al.  Wake transition of a rolling sphere , 2011, J. Vis..

[2]  David N. Lee,et al.  Where we look when we steer , 1994, Nature.

[3]  Erwin R. Boer Tangent point oriented curve negotiation , 1996, Proceedings of Conference on Intelligent Vehicles.

[4]  Daniel Raviv,et al.  A new approach to vision and control for road following , 1991, Proceedings of the IEEE Workshop on Visual Motion.

[5]  Teemu H Itkonen,et al.  Pursuit Eye-Movements in Curve Driving Differentiate between Future Path and Tangent Point Models , 2013, PloS one.

[6]  Teemu H Itkonen,et al.  Beyond the tangent point: gaze targets in naturalistic driving. , 2013, Journal of vision.

[7]  J. Wann,et al.  Active gaze, visual look-ahead, and locomotor control. , 2008, Journal of experimental psychology. Human perception and performance.

[8]  Markus Lappe,et al.  Driving is smoother and more stable when using the tangent point. , 2009, Journal of vision.

[9]  John P. Wann,et al.  Why you should look where you are going , 2000, Nature Neuroscience.

[10]  J. Wann,et al.  Steering with or without the flow: is the retrieval of heading necessary? , 2000, Trends in Cognitive Sciences.

[11]  A. Mizuno,et al.  A change of the leading player in flow Visualization technique , 2006, J. Vis..

[12]  D. Mestre,et al.  Path Curvature Discrimination: Dependence on Gaze Direction and Optical Flow Speed , 2012, PloS one.

[13]  Rob Gray,et al.  A Two-Point Visual Control Model of Steering , 2004, Perception.

[14]  Jeffrey D. Scargle,et al.  An algorithm for optimal partitioning of data on an interval , 2003, IEEE Signal Processing Letters.

[15]  Otto Lappi,et al.  Future path and tangent point models in the visual control of locomotion in curve driving. , 2014, Journal of vision.

[16]  Simon K. Rushton,et al.  Optic Flow and Beyond , 2004 .

[17]  D. Pellerin,et al.  Different types of sounds influence gaze differently in videos , 2013 .

[18]  Edmund Donges,et al.  A Two-Level Model of Driver Steering Behavior , 1978 .

[19]  Michael T. Turvey,et al.  Eye Movements and a Rule for Perceiving Direction of Heading , 1999 .

[20]  P. Fearnhead,et al.  Optimal detection of changepoints with a linear computational cost , 2011, 1101.1438.

[21]  Otto Lappi,et al.  Eye-movements in real curve driving: pursuit-like optokinesis in vehicle frame of reference, stability in an allocentric reference coordinate system , 2013 .

[22]  John P. Wann,et al.  How do we control high speed steering , 2004 .

[23]  D. Mestre,et al.  Optokinetic nystagmus is elicited by curvilinear optic flow during high speed curve driving , 2011, Vision Research.