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Considerations When Calculating Percent Road Centre From Eye Movement Data in Driver Distraction Monitoring
Author(s) -
Christer Ahlström,
Katja Kircher,
Albert Kircher
Publication year - 2009
Language(s) - English
Resource type - Conference proceedings
DOI - 10.17077/drivingassessment.1313
Subject(s) - gaze , distraction , eye movement , computer science , fixation (population genetics) , computer vision , eye tracking , artificial intelligence , psychology , cognitive psychology , medicine , population , environmental health
Percent road center (PRC) is a performance indicator which is sensitive to driver distraction. The original definition of PRC is based on fixation data extracted from eye movement recordings, but it has also been suggested that PRC can be determined directly from the gaze data without segmenting it into saccades and fixations. The primary aim of this paper is to investigate if this is the case. Naturalistic driving data from a small scale field operational test comprising seven vehicles was used in the evaluation. It was found that PRC time traces based on gaze data and fixation data, respectively, were highly similar (correlation coefficient=0.95, average wavelet semblance=0.84) except for an absolute amplitude difference of about 8%. This indicates that the two approaches can be used interchangeably and that the processing step of segmenting gaze data into saccades and fixations can be left out. In addition to this finding, design issues related to the calculation of PRC are investigated. Especially, the impact of gaze cases pointing towards the intersection of the road centre area and the centre rear mirror were investigated. Results lead to conclude that gazes and fixations on the centre rear mirror should be removed from the PRC calculations, as they may negatively influence the correctness of the performance indicator.

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