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Frames a and c show high gaze similarity, while frame b shows low gaze similarity.
For example, Taya et al. (2012) found that both experts and novices tend to have high gaze similarity while watching a tennis match.
Bottom: The stills exemplify gaze patterns during high gaze similarity (GS) for both groups (a), high GS for Comprehension, low for Map Task (b), and low GS for both (c).
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Bonferroni-corrected pairwise comparisons showed that each time block was significantly different from the others; block 1 had the highest gaze similarity (M = −0.114, SD = 0.419), followed by block 2 (M = −0.227, SD = 0.355), then block 4 (M = −0.266, SD = 0.313), and block 3 had the lowest gaze similarity (M = −0.406, SD = 0.151).
Conversely, Fig. 2c shows the moment of highest gaze similarity, which is when the walking couple kiss, at the center of the screen, and there is nothing else of interest to look at (i.e., only a non-descript architectural background).
As shown in Fig. 6 (top), block 1 has the highest gaze similarity, and qualitatively has features that would support this (Fig. 6, bottom, a; e.g., close ups of the bomb and car, and relatively little else to look at). Figure 6 shows that blocks 2 and 4, which have moderate levels of gaze similarity, also have moderately more to look at (Fig. 6, bottom, b; e.g., more store fronts).
Data sets with relatively low spatial precision will present higher gaze velocities as a result of noise in the data, and this will complicate the process of detecting fixations accurately.
For both species a high reactivity (gaze and/or head orientation) was found, supporting the pertinence of our experimental design.
Keep your head up high, your gaze straight ahead of you, and maintain good posture as you approach her.
Nearby individuals, spotting the frozen head-high posture, gaze in the same direction and prepare to flee.
It was enough for something to move on a screen to keep audiences captivated in those days, and it is enough today for Imax just to cast its high-definition gaze on a perfectly ordinary scene to transform it into spectacle.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com