scholarly journals Perceptual load effect is determined by resource demand and data limitation

2011 ◽  
Vol 11 (11) ◽  
pp. 247-247 ◽  
Author(s):  
Z. J. J. Roper ◽  
J. D. Cosman ◽  
J. T. Mordkoff ◽  
S. P. Vecera
2021 ◽  
pp. 174702182110688
Author(s):  
Hasan Gunduz ◽  
Turan Gunduz ◽  
Arzu Ozkan Ceylan

According to the load theory of attention, an active cognitive control mechanism is needed to ensure that behavior is controlled by target-relevant information when distractors are also perceived. Although the active cognitive control mechanism consists of working memory, cognitive flexibility, and inhibition components, predictions regarding the load effects of this mechanism were derived mostly from studies on working memory. We aimed to test whether these predictions are also valid for an inhibition component. The inhibitory load was manipulated physiologically by creating different bladder pressure and its effects on distractor interference were examined under low and high perceptual load conditions. Results indicated that the availability of inhibitory control resources was important for decreasing the interference of distractors in the low perceptual load condition and that the high perceptual load reduced the effects of distractors independently from the availability of inhibitory resources. Results were consistent with the predictions of load theory, and to the best of our knowledge, the study provided the first piece of evidence in terms of the load effect of inhibition component on distractor interference.


2020 ◽  
Author(s):  
Ksenia Gorbatova ◽  
Grigoriy Anufriev ◽  
Elena Gorbunova

2020 ◽  
Author(s):  
Abigail Thompson ◽  
Nikolaus Steinbeis

Computational modelling can be used to precisely characterise the cognitive processes involved in attentional biases towards threat, yet so far has only been applied in the context of adult anxiety. Furthermore, studies investigating attentional biases in childhood anxiety have largely used tasks that conflate automatic and controlled attentional processes. By using a perceptual load paradigm, we separately investigate contributions from automatic and controlled processes to attentional biases towards negative stimuli and their association with pediatric anxiety. We also use computational modelling to investigate these mechanisms in children for the first time. In a sample of 60 children (aged 5-11 years) we used a perceptual load task specifically adapted for children, in order to investigate attentional biases towards fearful (compared with happy and neutral) faces. Outcome measures were reaction time and percentage accuracy. We applied a drift diffusion model to investigate the precise cognitive mechanisms involved. The load effect was associated with significant differences in response time, accuracy and the diffusion modelling parameters drift rate and extra-decisional time. Increased anxiety was associated with higher accuracy and the diffusion modelling parameter ‘drift rate’ on the fearful face trials. This was specific to the high load condition. These findings suggest that attentional biases towards fearful faces in childhood anxiety are driven by increased perceptual sensitivity towards fear in automatic attentional systems. Our findings from computational modelling suggest that current attention bias modification treatments should target perceptual encoding directly rather than processes occurring afterwards.


2007 ◽  
Author(s):  
Ana Torralbo ◽  
Paige Scalf ◽  
Diane Beck ◽  
Arthur F. Kramer

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