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Open image in new window Fig. 1 Histogram showing the distribution of fixations for each driving condition.
The spatial distribution of fixations made by Right Lesion subjects more closely fits the prediction of a "salience" model than of the strict interpretation of a linear "gradient" model.
We found no evidence for any difference in distribution of fixations to the inducers between the two judgement conditions.
The frequency distribution of fixations detected shows an increase in the proportion of short (<200 ms) fixations being identified (Fig. 5d).
In particular, the trend of gaze direction with respect to the distribution of fixations made increased in the last second (Δ t = 1 s) suggesting that the basic model operation (Section 2.5) was compatible with subjects' exploration.
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The third research question is whether the distribution of fixation durations follows that of the RTs and is similarly affected by spatial and temporal stimulus uncertainty.
Perhaps, the difference of 500 ms between ITIs was not sufficiently large to elicit significant changes in the distribution of fixation durations (Figure 3).
The distribution of mutation rates, U, and the distribution of fixation rates, V = Vdrive + Vpass, are shown in Figure S3 in File S1.
In general, the use of cemented hip implants was reduced in favor of uncemented or hybrid implants, but the distribution of fixation types was very diverse between the cohorts.
The distribution of fixation durations identified is markedly similar between the cleaned and distorted data (Fig. 12a), in contrast to the performance of the standard dispersal algorithm (Fig. 5d).
To account for the distribution of fixation positions within words, current models of eye-movement control in reading (e.g., Engbert, Nuthmann, Richter, & Kliegl, 2005; Reichle, Rayner, & Pollatsek, 1999) typically incorporate the launch-site-contingent mean shift of saccadic landing positions within words on the basis of McConkie et al.'s (1988) quantitative estimates.
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