Assessment of visual orienting behaviour in young children using remote eye tracking: Methodology and reliability
Journal of Neuroscience Methods , Volume 189 - Issue 2 p. 252- 256
Human orienting behaviour requires a complex interaction between the visual and the oculomotor system. We present orienting gaze data measured in children using a remote eye tracking system. The aim of the study was to validate a data analysis method which did not require off-line correction of data gaps due to eye blinking or inadequate gaze tracking. In two sessions, blocks of short movies, amongst others cartoons, were shown to 35 children (2-9 years) for a test-retest analysis. The cartoons were subsequently shown in one of the monitor corners. Orienting eye movements were analysed on the basis of saccadic reaction time (SRT), reaction time to fixation (RTF) of cartoon and gaze fixation area (GFA) Differences were tested for significance using the Wilcoxon-signed ranks test and reliability was assessed using the intraclass correlation coefficient (ICC). SRT values could be calculated in ∼50% of gaze data and ranged between 150(30)ms (mean(SD)) and 390(190)ms (average SRTminand SRTmaxvalues of all subjects). RTF values could be derived in ∼90% of gaze data with an average RTFminof 210(30)ms and RTFmaxof 570(160)ms. Test-retest analysis showed a significant increase of GFA during the second session with ∼5% (P<0.05). The reliability of RTFminand GFA was best with an ICC of 0.84 and 0.80, respectively (P<0.0001). We conclude that remote eye tracking is well suited for quantification of timing and executing oculomotor fixations during orienting behaviour tasks. The presented method may be applied in young children with developmental disorders or brain damage.
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|Journal of Neuroscience Methods|
|Organisation||Erasmus MC: University Medical Center Rotterdam|
Pel, J.J.M, Manders, J.C.W, & van der Steen, J. (2010). Assessment of visual orienting behaviour in young children using remote eye tracking: Methodology and reliability. Journal of Neuroscience Methods, 189(2), 252–256. doi:10.1016/j.jneumeth.2010.04.005