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Showing 1 to 15 of 755 results Save | Export
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Andy J. Kim; David S. Lee; James D. Grindell; Brian A. Anderson – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2024
Attention is biased toward features aligning with task goals and stimuli previously allocated attentional priority (selection history). The relationship between selection history and the strategic control of attention has scarcely been explored. In the present study, we utilized a modified version of the Adaptive Choice Visual Search (ACVS) task…
Descriptors: Attention Control, Attention, Visual Stimuli, Color
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Ruoyang Hu; Robert A. Jacobs – Cognitive Science, 2024
Visual working memory (VWM) refers to the temporary storage and manipulation of visual information. Although visually different, objects we view and remember can share the same higher-level category information, such as an apple, orange, and banana all being classified as fruit. We study the influence of category information on VWM, focusing on…
Descriptors: Visual Perception, Short Term Memory, Visual Stimuli, Semantics
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Aoqi Li; Johan Hulleman; Jeremy M. Wolfe – Cognitive Research: Principles and Implications, 2024
In any visual search task in the lab or in the world, observers will make errors. Those errors can be categorized as "deterministic": If you miss this target in this display once, you will definitely miss it again. Alternatively, errors can be "stochastic", occurring randomly with some probability from trial to trial.…
Descriptors: Visual Perception, Visual Stimuli, Error Patterns, Probability
Liunian Li – ProQuest LLC, 2024
To build an Artificial Intelligence system that can assist us in daily lives, the ability to understand the world around us through visual input is essential. Prior studies train visual perception models by defining concept vocabularies and annotate data against the fixed vocabulary. It is hard to define a comprehensive set of everything, and thus…
Descriptors: Artificial Intelligence, Visual Stimuli, Visual Perception, Models
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Robson, Samuel G.; Tangen, Jason M. – Cognitive Research: Principles and Implications, 2023
People can fail to notice objects and events in their visual environment when their attention is engaged elsewhere. This phenomenon is known as inattentional blindness, and its consequences can be costly for important real-world decisions. However, not noticing certain visual information could also signal expertise in a domain. In this study, we…
Descriptors: Attention, Visual Perception, Expertise, Visual Stimuli
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Andrew Lynn; John Maule; Dima Amso – Child Development, 2024
Children (N = 103, 4-9 years, 59 females, 84% White, c. 2019) completed visual processing, visual feature integration (color, luminance, motion), and visual search tasks. Contrast sensitivity and feature search improved with age similarly for luminance and color-defined targets. Incidental feature integration improved more with age for…
Descriptors: Visual Perception, Age Differences, Light, Color
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Lydia Ouma Radoli – Journalism and Mass Communication Educator, 2024
The paradox of documenting history through gruesome visuals depicting the prominence of stories intrigues media researchers. Foundational work on the dual representation theory explains trauma transference to brain functions following disturbing emotional triggers. The analysis suggests an existing link between exposure to disturbing information…
Descriptors: Foreign Countries, Journalism, Trauma, Emotional Adjustment
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James Negen – Journal of Numerical Cognition, 2023
One model of numeric perception is a density-area mechanism: a process that estimates both density and area of an array, then multiplies them to create an estimate of number. One line of evidence that supports this is the surprising numeric Ebbinghaus illusion: smaller context circles lead to greater perceived number than larger context circles,…
Descriptors: Computation, Number Concepts, Numeracy, Memory
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Riden, Benjamin S.; Snyder, Sara M.; Fowkes, Colleen L.; Yuschak, Anastasia E. – Education and Treatment of Children, 2022
The purpose of this review is to identify the application of eye-gaze stimulus preference assessment as well as the various characteristics of those assessments in the research literature. We conducted a systematic review that identified 18 articles using eye gaze to identify preferred stimuli. Of those studies, seven were used to determine a…
Descriptors: Eye Movements, Visual Stimuli, Preferences, Identification
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M. I. Introzzi; M. F. López Ramón; M. J. García; E. V. Zamora; M. Musso; M. Richard's – Journal of Cognition and Development, 2024
The aim of this study was to analyze the development of Perceptual Inhibition (PI) and Selective Visual Attention (SVA) across lifespan, identifying key moments of change in the direction of development. A total of 810 Argentinian participants, ranging from 6-80 years, were included. The results revealed that PI and SVA followed similar patterns,…
Descriptors: Attention, Visual Perception, Inhibition, Children
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Sachio Otsuka; Yuki Miura; Jun Saiki – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2024
It has been reported that visual statistical learning (VSL) is facilitated in skewed distributions. However, it remains unclear whether enhancement of VSL in Zipfian distributions is due to consciousness of the regularities presented at high frequency. This study addressed this issue. We measured participants' subjective confidence in regularities…
Descriptors: Foreign Countries, College Students, Visual Learning, Visual Stimuli
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Jiuqing Tang; Xue'er Ma; Peng Peng; Kelina Cha; Yu'e Yao; Jingjing Zhao – Grantee Submission, 2023
Background: Visual attention span (VAS) refers to the number of visual elements processed simultaneously in a multielement array. Yet, there are mixed findings regarding VAS deficit in developmental dyslexia (DD) across different tasks, stimuli, languages, control groups, and ages. Aim: The present meta-analysis aimed to investigate VAS deficit in…
Descriptors: Visual Perception, Attention, Dyslexia, Severity (of Disability)
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Duta, Mihaela; Plunkett, Kim – Child Development, 2023
We present a neural network model of referent identification in a visual world task. Inputs are visual representations of item pairs unfolding with sequences of phonemes identifying the target item. The model is trained to output the semantic representation of the target and to suppress the distractor. The training set uses a 200-word lexicon…
Descriptors: Networks, Models, Brain, Child Language
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Gijbels, Liesbeth; Lee, Adrian K. C.; Yeatman, Jason D. – Developmental Science, 2024
As reading is inherently a multisensory, audiovisual (AV) process where visual symbols (i.e., letters) are connected to speech sounds, the question has been raised whether individuals with reading difficulties, like children with developmental dyslexia (DD), have broader impairments in multisensory processing. This question has been posed before,…
Descriptors: Dyslexia, Developmental Disabilities, Auditory Perception, Visual Perception
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Harris, Anthony M.; Eayrs, Joshua O.; Lavie, Nilli – Cognitive Research: Principles and Implications, 2023
Highly-automated technologies are increasingly incorporated into existing systems, for instance in advanced car models. Although highly automated modes permit non-driving activities (e.g. internet browsing), drivers are expected to reassume control upon a 'take over' signal from the automation. To assess a person's readiness for takeover,…
Descriptors: Eye Movements, Attention, Cognitive Processes, Reaction Time
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