Literature DB >> 21704061

Optokinetic nystagmus is elicited by curvilinear optic flow during high speed curve driving.

Colas N Authié1, Daniel R Mestre.   

Abstract

When analyzing gaze behavior during curve driving, it is commonly accepted that gaze is mostly located in the vicinity of the tangent point, being the point where gaze direction tangents the curve inside edge. This approach neglects the fact that the tangent point is actually motionless only in the limit case when the trajectory precisely follows the curve's geometry. In this study, we measured gaze behavior during curve driving, with the general hypothesis that gaze is not static, when exposed to a global optical flow due to self-motion. In order to study spatio-temporal aspects of gaze during curve driving, we used a driving simulator coupled to a gaze recording system. Ten participants drove seven runs on a track composed of eight curves of various radii (50, 100, 200 and 500m), with each radius appearing in both right and left directions. Results showed that average gaze position was, as previously described, located in the vicinity of the tangent point. However, analysis also revealed the presence of a systematic optokinetic nystagmus (OKN) around the tangent point position. The OKN slow phase direction does not match the local optic flow direction, while slow phase speed is about half of the local speed. Higher directional gains are observed when averaging the entire optical flow projected on the simulation display, whereas the best speed gain is obtained for a 2° optic flow area, centered on the instantaneous gaze location. The present study confirms that the tangent point is a privileged feature in the dynamic visual scene during curve driving, and underlines a contribution of the global optical flow to gaze behavior during active self-motion.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21704061     DOI: 10.1016/j.visres.2011.06.010

Source DB:  PubMed          Journal:  Vision Res        ISSN: 0042-6989            Impact factor:   1.886


  9 in total

1.  Path curvature discrimination: dependence on gaze direction and optical flow speed.

Authors:  Colas N Authié; Daniel R Mestre
Journal:  PLoS One       Date:  2012-02-29       Impact factor: 3.240

2.  Differences in gaze anticipation for locomotion with and without vision.

Authors:  Colas N Authié; Pauline M Hilt; Steve N'Guyen; Alain Berthoz; Daniel Bennequin
Journal:  Front Hum Neurosci       Date:  2015-06-08       Impact factor: 3.169

3.  Cycling around a curve: the effect of cycling speed on steering and gaze behavior.

Authors:  Pieter Vansteenkiste; David Van Hamme; Peter Veelaert; Renaat Philippaerts; Greet Cardon; Matthieu Lenoir
Journal:  PLoS One       Date:  2014-07-28       Impact factor: 3.240

4.  Adaptive Gaze Strategies for Locomotion with Constricted Visual Field.

Authors:  Colas N Authié; Alain Berthoz; José-Alain Sahel; Avinoam B Safran
Journal:  Front Hum Neurosci       Date:  2017-07-27       Impact factor: 3.169

5.  Systematic Observation of an Expert Driver's Gaze Strategy-An On-Road Case Study.

Authors:  Otto Lappi; Paavo Rinkkala; Jami Pekkanen
Journal:  Front Psychol       Date:  2017-04-27

6.  Drivers use active gaze to monitor waypoints during automated driving.

Authors:  Callum Mole; Jami Pekkanen; William E A Sheppard; Gustav Markkula; Richard M Wilkie
Journal:  Sci Rep       Date:  2021-01-08       Impact factor: 4.996

7.  Where we look when we drive with or without active steering wheel control.

Authors:  Franck Mars; Jordan Navarro
Journal:  PLoS One       Date:  2012-08-22       Impact factor: 3.240

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

Authors:  Teemu Itkonen; Jami Pekkanen; Otto Lappi
Journal:  PLoS One       Date:  2015-08-19       Impact factor: 3.240

9.  Pursuit eye-movements in curve driving differentiate between future path and tangent point models.

Authors:  Otto Lappi; Jami Pekkanen; Teemu H Itkonen
Journal:  PLoS One       Date:  2013-07-22       Impact factor: 3.240

  9 in total

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