scholarly journals How did you hide my bunny? Using a genetic algorithm to investigate preattentive processing of shape in visual search.

2016 ◽  
Vol 16 (12) ◽  
pp. 752
Author(s):  
Jeremy Wolfe ◽  
Avigael Aizenman ◽  
Jungyeon Park ◽  
Lucas Jurgensen ◽  
Krista Ehinger
1978 ◽  
Vol 47 (3) ◽  
pp. 803-808
Author(s):  
Deborah Lott Holmes ◽  
Lynne Werner Olsho ◽  
Richard Peper ◽  
Ann Schulte ◽  
Philip Green

54 subjects participated in a visual scanning study in which each subject was provided with only a single target set (of 1, 2, 4, 6, 8, or 10 letters in length). Eight sessions of 30 trials each were completed for each subject. Although there were slight differences in the rate at which performance improved over trials, this was not systematically related to size of target set. Moreover, even in the last session, there were large differences in performance in the different target sets. These findings suggest that Neisser's evidence for parallel preattentive processing in such tasks may have been confounded by his use of nested target sets and a within-subjects design.


1978 ◽  
Vol 46 (1) ◽  
pp. 227-234 ◽  
Author(s):  
Deborah Lott Holmes ◽  
Richard Peper ◽  
Lynne Werner Olsho ◽  
Donald E. Raney

In an attempt to clarify the findings of Neisser and his associates with respect to parallel processing of multiple target items in a visual search task, subjects were tested in a multiple-target search situation in which the various target sets were not nested. 20 sessions were run for each subject with 12 trials per day. The targets used were geometric forms, allowing for manipulation of the number of features in each form. The results do not confirm those of Neisser, in fact, the interaction of session × target-set size was in a direction opposite to that predicted by a parallel scan model. These findings indicate that what Neisser reported as parallel preattentive processing may in fact have reflected a tendency for subjects to scan for a master set of targets, regardless of which subset of that set was actually present on a given set.


2022 ◽  
Vol 22 (1) ◽  
pp. 7
Author(s):  
Avi M. Aizenman ◽  
Krista A. Ehinger ◽  
Farahnaz A. Wick ◽  
Ruggero Micheletto ◽  
Jungyeon Park ◽  
...  

Perception ◽  
1975 ◽  
Vol 4 (4) ◽  
pp. 411-418 ◽  
Author(s):  
Robert T Solman

The physical similarity between the target and the irrelevant items, and the number of irrelevant items, were varied to obtain curves relating accuracy of target location to exposure, and reaction time to exposure. Two groups of subjects searched circular displays where similarity differed for each group, and number and exposure varied within groups. The results indicated that the relationships between accuracy and exposure were the more informative since they directly reflected processing, particularly when the exposure was very brief. These time versus accuracy curves were negatively accelerated, showing rapid increases in accuracy for approximately 50 ms with very slow (if any) increases for longer exposures. As it was not possible to account for these accuracy variations in terms of simple serial or parallel models of information processing, they were seen as reflecting processing by preattention and focal attention. Further analysis suggested that the times required for preattentive processing were brief and have a probability distribution.


Perception ◽  
1993 ◽  
Vol 22 (10) ◽  
pp. 1175-1193 ◽  
Author(s):  
Geoffrey W Stuart ◽  
Terence R J Bossomaier ◽  
Sue Johnson

Information about the visual angle size of objects is important for maintaining object constancy with variations in viewing distance. Although human observers are quite accurate at judging spatial separations (or cross-sectional size), they are prone to error when there are other spans nearby, as in classical illusions such as the Müller-Lyer illusion. It is possible to reconcile these aspects of size perception by assuming that the size domain is sampled sparsely. It was shown by means of a visual search procedure that the size of objects is processed preattentively and in parallel across the visual field. It was demonstrated that an object's size, rather than its boundary curvature or spatial-frequency content, provides the basis for parallel visual search. It was also shown that texture borders could be substituted for luminance borders, indicating that object boundaries at the relevant spatial scale provide the input to size perception. Parallel processing imposes a severe computational constraint which provides support for the assumption of sparse sampling. An economical model based on several broadly tuned layers of size detectors is proposed to account for the parallel extraction of size, the Weberian behaviour of size discrimination, and the occurrence of strong interference effects in the size domain.


2015 ◽  
Vol 15 (2) ◽  
pp. 8-8 ◽  
Author(s):  
E. Van der Burg ◽  
J. Cass ◽  
J. Theeuwes ◽  
D. Alais

2011 ◽  
Vol 23 (3) ◽  
pp. 645-660 ◽  
Author(s):  
Agnieszka Wykowska ◽  
Anna Schubö

It is not clear how salient distractors affect visual processing. The debate concerning the issue of whether irrelevant salient items capture spatial attention [e.g., Theeuwes, J., Atchley, P., & Kramer, A. F. On the time course of top–down and bottom–up control of visual attention. In S. Monsell & J. Driver (Eds.), Attention and performance XVIII: Control of cognitive performance (pp. 105–124). Cambridge, MA: MIT Press, 2000] or produce only nonspatial interference in the form of, for example, filtering costs [Folk, Ch. L., & Remington, R. Top–down modulation of preattentive processing: Testing the recovery account of contingent capture. Visual Cognition, 14, 445–465, 2006] has not yet been settled. The present ERP study examined deployment of attention in visual search displays that contained an additional irrelevant singleton. Display-locked N2pc showed that attention was allocated to the target and not to the irrelevant singleton. However, the onset of the N2pc to the target was delayed when the irrelevant singleton was presented in the opposite hemifield relative to the same hemifield. Thus, although attention was successfully focused on the target, the irrelevant singleton produced some interference resulting in a delayed allocation of attention to the target. A subsequent probe discrimination task allowed for locking ERPs to probe onsets and investigating the dynamics of sensory gain control for probes appearing at relevant (target) or irrelevant (singleton distractor) positions. Probe-locked P1 showed sensory gain for probes positioned at the target location but no such effect for irrelevant singletons in the additional singleton condition. Taken together, the present data support the claim that irrelevant singletons do not capture attention. If they produce any interference, it is rather due to nonspatial filtering costs.


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