scholarly journals Incidental visual memory for targets and distractors in visual search

2005 ◽  
Vol 67 (5) ◽  
pp. 816-827 ◽  
Author(s):  
Carrick C. Williams ◽  
John M. Henderson ◽  
f Zacks
Keyword(s):  
2021 ◽  
Vol 12 ◽  
Author(s):  
Miles Tallon ◽  
Mark W. Greenlee ◽  
Ernst Wagner ◽  
Katrin Rakoczy ◽  
Ulrich Frick

The results of two experiments are analyzed to find out how artistic expertise influences visual search. Experiment I comprised survey data of 1,065 students on self-reported visual memory skills and their ability to find three targets in four images of artwork. Experiment II comprised eye movement data of 50 Visual Literacy (VL) experts and non-experts whose eye movements during visual search were analyzed for nine images of artwork as an external validation of the assessment tasks performed in Sample I. No time constraint was set for completion of the visual search task. A latent profile analysis revealed four typical solution patterns for the students in Sample I, including a mainstream group, a group that completes easy images fast and difficult images slowly, a fast and erroneous group, and a slow working student group, depending on task completion time and on the probability of finding all three targets. Eidetic memory, performance in art education and visual imagination as self-reported visual skills have significant impact on latent class membership probability. We present a hidden Markov model (HMM) approach to uncover underlying regions of attraction that result from visual search eye-movement behavior in Experiment II. VL experts and non-experts did not significantly differ in task time and number of targets found but they did differ in their visual search process: compared to non-experts, experts showed greater precision in fixating specific prime and target regions, assessed through hidden state fixation overlap. Exploratory analysis of HMMs revealed differences between experts and non-experts in image locations of attraction (HMM states). Experts seem to focus their attention on smaller image parts whereas non-experts used wider parts of the image during their search. Differences between experts and non-experts depend on the relative saliency of targets embedded in images. HMMs can determine the effect of expertise on exploratory eye movements executed during visual search tasks. Further research on HMMs and art expertise is required to confirm exploratory results.


2011 ◽  
Vol 39 (6) ◽  
pp. 1094-1102 ◽  
Author(s):  
Benoit Riou ◽  
Mathieu Lesourd ◽  
Lionel Brunel ◽  
Rémy Versace

2021 ◽  
Vol 11 (12) ◽  
pp. 1584
Author(s):  
Yann Cojan ◽  
Arnaud Saj ◽  
Patrik Vuilleumier

Several cortical and sub-cortical regions in the right hemisphere, particularly in the parietal and frontal lobes, but also in the temporal lobe and thalamus, are part of neural networks critically implicated in spatial and attentional functions. Damage to different sites within these networks can cause hemispatial neglect. The aim of this study was to identify the neural substrates of different spatial processing components that are known to contribute to neglect symptoms. Firstly, three different spatial tasks (visual search, bisection, and visual memory) were tested in 26 healthy controls. The fMRI results showed a differential activation of regions in the parietal and frontal lobes during bisection and visual search, respectively. Secondly, fMRI was used in 27 patients with focal right brain damage. Voxel-based lesion–symptom mapping was used to determine the relationships between specific sites of damage and the severity of deficits in these three spatial tasks. In the patients, we confirmed a critical role of the right lateral parietal cortex in bisection, but lesions in the frontal and temporal lobes were critical for visual search. These data support the existence of distinct components in spatial attentional processes that might be damaged to different degrees in neglect patients.


Author(s):  
Sarah Chabal ◽  
Sayuri Hayakawa ◽  
Viorica Marian

AbstractOver the course of our lifetimes, we accumulate extensive experience associating the things that we see with the words we have learned to describe them. As a result, adults engaged in a visual search task will often look at items with labels that share phonological features with the target object, demonstrating that language can become activated even in non-linguistic contexts. This highly interactive cognitive system is the culmination of our linguistic and visual experiences—and yet, our understanding of how the relationship between language and vision develops remains limited. The present study explores the developmental trajectory of language-mediated visual search by examining whether children can be distracted by linguistic competitors during a non-linguistic visual search task. Though less robust compared to what has been previously observed with adults, we find evidence of phonological competition in children as young as 8 years old. Furthermore, the extent of language activation is predicted by individual differences in linguistic, visual, and domain-general cognitive abilities, with the greatest phonological competition observed among children with strong language abilities combined with weaker visual memory and inhibitory control. We propose that linguistic expertise is fundamental to the development of language-mediated visual search, but that the rate and degree of automatic language activation depends on interactions among a broader network of cognitive abilities.


2015 ◽  
Vol 74 (1) ◽  
pp. 55-60 ◽  
Author(s):  
Alexandre Coutté ◽  
Gérard Olivier ◽  
Sylvane Faure

Computer use generally requires manual interaction with human-computer interfaces. In this experiment, we studied the influence of manual response preparation on co-occurring shifts of attention to information on a computer screen. The participants were to carry out a visual search task on a computer screen while simultaneously preparing to reach for either a proximal or distal switch on a horizontal device, with either their right or left hand. The response properties were not predictive of the target’s spatial position. The results mainly showed that the preparation of a manual response influenced visual search: (1) The visual target whose location was congruent with the goal of the prepared response was found faster; (2) the visual target whose location was congruent with the laterality of the response hand was found faster; (3) these effects have a cumulative influence on visual search performance; (4) the magnitude of the influence of the response goal on visual search is marginally negatively correlated with the rapidity of response execution. These results are discussed in the general framework of structural coupling between perception and motor planning.


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