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dc.contributor.authorFalkmer, Torbjorn
dc.contributor.authorDahlman, J.
dc.contributor.authorDukic, T.
dc.contributor.authorBjällmark, A.
dc.contributor.authorLarsson, M.
dc.identifier.citationFalkmer, T. and Dahlman, J. and Dukic, T. and Bjällmark, A. and Larsson, M. 2008. Fixation identification in centroid versus start-point modes using eye-tracking data. Perceptual and Motor Skills. 106 (3): pp. 710-724.

Fixation-identification algorithms, needed for analyses of eye movements, may typically be separated into three categories, viz. (i) velocity-based algorithms, (ii) area-based algorithms, and (iii) dispersion-based algorithms. Dispersion-based algorithms are commonly used but this application introduces some difficulties, one being optimization. Basically, there are two modes to reach this goal of optimization, viz., the start-point mode and the centroid mode. The aim of the present study was to compare and evaluate these two dispersion-based algorithms. Manual inspections were made of 1,400 fixations in each mode. Odds ratios showed that by using the centroid mode for fixation detection, a valid fixation is 2.86 times more likely to be identified than by using the start-point mode. Moreover, the algorithm based on centroid mode dispersion showed a good interpretation speed, accuracy, robustness, and ease of implementation, as well as adequate parameter settings. © Perceptual and Motor Skills 2008.

dc.publisherAmmons Scientific Ltd.
dc.titleFixation identification in centroid versus start-point modes using eye-tracking data
dc.typeJournal Article
dcterms.source.titlePerceptual and Motor Skills
curtin.departmentSchool of Occupational Therapy and Social Work
curtin.accessStatusFulltext not available

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