|
Gaze Contingent Experiments: A tool to
help us learn about the role of attention in visual processing
Illustrations (below) show search for an item containing a red-horizontal line . What makes this (conjunction) task challenging are the features shared by both target and distractors, (i.e., the red color and the horizontal line): the greater the number of shared features, the slower the search and the greater the likelihood of false detections. A similar conjunction task is described in Wolfe, J (2005) in a summary of Bichot's (2005) animal studies. These and many other behavioral & physiological studies establish how conjunction tasks require the use of attention, and produce slower and more sequential (capacity limited) forms of scanning. Further, these studies illustrate how our goals and attention modulate performance, and that an associated neuronal response (in area V4 in the case of Bichot et al's '05 work) precedes eye-movements and fixations. (Many other studies have shown activity in FEF, SC & other thalamo-cortical areas preceding eye-movements depending upon type of search task). The important implication
here is that the mechanism guiding eye-movements in these more complex
search tasks, because they are dominated by (an endogeneous form of)
attention, may be revealed through patterns that emerge in the sequence
of eye-movements. To further examine the role of attention in visual
search we will perform various manipulations of its known properties
and evaluate how these influence the dynamic of search over different
time periods. A critical set of manipulations will involve gaze-contingent
(GC) blurring and GC scaling which will help us tease apart a number
of the (confounded) characteristics of attention, and help us understand
whether attentional improvements in performance are due to improved
stimulus clarity, increased scaling or to its central locale in the
visual field. Geisler, W.S., Perry, J.S., Najemnik, J. (2006) Visual search: The role of peripheral information measured using gaze-contingent displays. Journal of Vision, 6, 858-873. [PDF] Wolfe, J (2005) Neuroscience: Watching Single Cells Pay attention. Science, 308:503 |
Conditions Blurred region & video links |
Video trials Description of what you'll see in the videos |
Additional Manipulations (not illustrated here ) | ||||
|---|---|---|---|---|---|---|---|
Some of the clips start with recording of my eye-movements during calibration. Although this may seem a bit creepy, it illustrates the sensitivity of the tracker's IR camera. |
|||||||
|
Gaussian Blur (pixels) |
|||||||
|
Gaussian Filter
(pixels)--> |
0 |
8 |
12 |
see video description ---> |
|||
|
|
|||||||
|
Find:
|
|
Conditions: T1) No Blur T2) 8 pixel gaussian blur in the periphery T3) 12 pixel gaussian blur in the periphery |
|||||
|
|
T1) No Blur T2) 8 pixel gaussian blur in central vision T3) 12 pixel gaussian blur in central vision |
||||||