By Elena Hitzel
Elena Hitzel pursues the concept human gaze destinations are motivated via at the moment non-fixated gadgets which are seen within the peripheral visual view. utilizing eye monitoring gear and a digital fact approach to supply naturalistic projects, the writer exhibits that gaze is biased in the direction of a neighboring item, particularly whilst this item is proper to the subject’s present activity. this implies that peripheral imaginative and prescient is utilized in the allocation of gaze in way of life and that this bias may be interpreted when it comes to a compromise among foveal and peripheral info achieve. the advantage of this bias in ordinary imaginative and prescient is mentioned within the context of bottom-up and top-down theories.
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Additional resources for Effects of Peripheral Vision on Eye Movements: A Virtual Reality Study on Gaze Allocation in Naturalistic Tasks
View of the eye tracking camera on the subject’s left eye. The eye tracking software calculated the gaze position by using the pupil-glint vector. The bigger white box marks the area in which the pupil should be detectable; the smaller white box marks the area in which the glint (= cornea reflection of an infrared light attached to the eye tracking camera; represented by small white spot) should be detectable. The bigger circle indicates size and movement of the pupil. From these parameters results an estimation of gaze location shown by the white cross-hairs (dashed lines), respectively by those in Figure 7.
They demonstrated that with increasing non-target to target distance, the bias of the initial saccade towards the target increased too. Additionally, this effect was only applicable up to 4-6° non-target to target distance, shown by a massive drop of gaze bias for non-targets at a greater angle than this critical value. Besides that, if the non-target stimulus was shown between the fixation point and the target, the bias of the target-directed saccade was stronger than if the non-target stimulus was shown on the outer side of the target.
Avoid obstacles vs. both tasks at once) on the one hand and by presenting objects of two different colors indicating targets and obstacles (or respectively neutral objects, depending on task) on the other hand. The gaze data were subdivided into single fixations and categorized by the object (target or obstacle), that was currently fixated. The relative frequencies of fixations were analyzed to see if the positions of neighboring objects and their task-relevance 43 produced differences. Further specifications on procedure and methods are given in the following chapter.