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While the ability of individuals to accurately make magnitude judgments varies, the present study was designed to examine how magnitude judgments to the exact same stimulus location change as attentional distribution varies.
While objects and other visual cues can change the metric of perceived space, the results presented in these three experiments demonstrate that attentional distribution can also modulate location perception, suggesting a dynamic interaction between the form of space, the representation of objects, and attention.
This is because any measure of reaction time would be contaminated with variations in how long it took the experimenter to enter the participant's response on a given trial.There were seven blocks of trials with three levels of attentional distribution along the horizontal and vertical meridians, as follows.
While the exact form of the attentional distribution in the attend all condition is unknown, this difference could be related to qualitative differences in the spread of attention across one and two dimensions as well as changes in the effect of attention across eccentricities.
Spatial metric(s) underlying localization errors While the localization errors showed differences in spatial distortion that varied with attentional distribution, eccentricity, and axis tested, it was not possible to determine from the errors alone whether this distortion reflected a deviation from a linear mapping, a change in scaling, or some combination of the two.
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An alternative proposal might be that the distribution of attentional resources, when multiple plausible AV pairings are possible, reduces attention to a given stimulus, thus diminishing the 'unity assumption' for a given AV pair.
Non-optimal distribution of attentional resources may occur in some individuals (ie., those with ADHD) or in healthy individuals after sleep deprivation.
The similar accuracies for the three behavioral tags when reputations were made explicit, in the presence or absence of priming, point to a more equitable distribution of attentional resources during face encoding.
The distribution of attentional resources over multiple tasks engages a number of mental processes that increase cognitive demand relative to a single task performance.
For example, the representation of sensory evidence (e.g., occipital regions and hippocampus), the detection of perceptual uncertainty or difficulty (e.g., insula) and the distribution of attentional resources (e.g., parietal regions; for a review, see Heekeren et al., 2008).
The next process, closely related to the maintenance of attention, involves attentional switching, redirecting attentional drift back to the breath.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com