A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Guiding eye movements for better communication and augmented vision
PIT'06 Proceedings of the 2006 international tutorial and research conference on Perception and Interactive Technologies
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Our study explores the potential of gaze guidance in driving and analyzes eye movements and driving behavior in safety-critical situations. We collected eye movements from subjects instructed to drive predetermined routes in a driving simulator. While driving, the subjects performed various cognitive tasks designed to divert their attention away from the road. The 30 subjects were equally divided in two groups, a control and a gaze guidance group. For the latter, potentially dangerous events, such as a pedestrian suddenly crossing the street, were highlighted with temporally transient gaze-contingent cues, which were triggered if the subject did not look at the pedestrian. For the group that drove with gaze guidance, eye movements have a reduced variability after the gaze-capturing event and shorter reaction times to it. More importantly, gaze guidance leads to a safer driving behavior and a significantly reduced number of collisions.