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Shuting Li; Keitaro Machida; Emma L. Burrows; Katherine A. Johnson – Journal of Autism and Developmental Disorders, 2025
Research is equivocal on whether attention orienting is atypical in autism. This study investigated two types of attention orienting in autistic people and accounted for the potential confounders of alerting level, co-occurring symptoms of attention-deficit/hyperactivity disorder (ADHD) and anxiety, age, and sex. Twenty-seven autistic participants…
Descriptors: Children, Adolescents, Adults, Autism Spectrum Disorders
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Murphy, Jeremy W.; Foxe, John J.; Molholm, Sophie – Developmental Science, 2016
The ability to attend to one among multiple sources of information is central to everyday functioning. Just as central is the ability to switch attention among competing inputs as the task at hand changes. Such processes develop surprisingly slowly, such that even into adolescence, we remain slower and more error prone at switching among tasks…
Descriptors: Attention Control, Executive Function, Physiology, Brain
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Burling, Joseph M.; Yoshida, Hanako – Cognitive Science, 2017
The literature on human and animal learning suggests that individuals attend to and act on cues differently based on the order in which they were learned. Recent studies have proposed that one specific type of learning outcome, the highlighting effect, can serve as a framework for understanding a number of early cognitive milestones. However,…
Descriptors: Early Childhood Education, Young Children, Learning Processes, Bias
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Shimi, Andria; Nobre, Anna C.; Astle, Duncan; Scerif, Gaia – Child Development, 2014
How does developing attentional control operate within visual short-term memory (VSTM)? Seven-year-olds, 11-year-olds, and adults (total n = 205) were asked to report whether probe items were part of preceding visual arrays. In Experiment 1, central or peripheral cues oriented attention to the location of to-be-probed items either prior to…
Descriptors: Visual Perception, Short Term Memory, Children, Adults
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Leitzke, Brian T.; Pollak, Seth D. – Developmental Psychology, 2016
There have been long-standing differences of opinion regarding the influence of the face relative to that of contextual information on how individuals process and judge facial expressions of emotion. However, developmental changes in how individuals use such information have remained largely unexplored and could be informative in attempting to…
Descriptors: Emotional Response, Cues, Nonverbal Communication, Eye Movements
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Bavin, Edith L.; Prendergast, Luke A.; Kidd, Evan; Baker, Emma; Dissanayake, Cheryl – International Journal of Language & Communication Disorders, 2016
Background: There is variability in the language of children with autism, even those who are high functioning. However, little is known about how they process language structures in real time, including how they handle potential ambiguity, and whether they follow referential constraints. Previous research with older autism spectrum disorder (ASD)…
Descriptors: Sentences, Language Processing, Autism, Comparative Analysis
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Lindquist, Sophie I.; McLean, John P. – Learning and Individual Differences, 2011
The experience of daydreaming is familiar to all, yet daydreaming and its correlates in an educational context have yet to be adequately explored. This study investigated academic and other potential correlates of task-unrelated images and thoughts (TUITs) during lectures. 463 undergraduate psychology students participated across three lecture…
Descriptors: Psychology, Educational Environment, Lecture Method, Imagination
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Couperus, Jane W. – Developmental Psychology, 2011
Research suggests that visual selective attention develops across childhood. However, there is relatively little understanding of the neurological changes that accompany this development, particularly in the context of adult theories of selective attention, such as N. Lavie's (1995) perceptual load theory of attention. This study examined visual…
Descriptors: Attention Control, Attention, Visual Perception, Children
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Waszak, Florian; Li, Shu-Chen; Hommel, Bernhard – Developmental Psychology, 2010
Using a population-based sample of 263 individuals ranging from 6 to 89 years of age, we investigated the gains and losses in the abilities to (a) use exogenous cues to shift attention covertly and (b) ignore conflicting information across the life span. The participants' ability to shift visual attention was tested by a typical Posner-type…
Descriptors: Cues, Older Adults, Age Differences, Cognitive Ability
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Arsalidou, Marie; Pascual-Leone, Juan; Johnson, Janice – Cognitive Development, 2010
The theory of constructive operators was used as a framework to design two versions of a paradigm (color matching task, CMT) in which items are parametrically ordered in difficulty, and differ only contextually. Items in CMT-Balloon are facilitating, whereas items in CMT-Clown contain misleading cues. Participants of ages 7-14 years and adults (N…
Descriptors: Cues, Short Term Memory, Developmental Stages, Color
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Yussen, Steven R.; And Others – Child Development, 1975
Tested two hypotheses to account for results of an earlier study in which preschoolers failed to display differential behavior when instructed to memorize itmes or merely to examine them perceptually. Subjects included second and fifth graders as well as preschoolers. (CW)
Descriptors: Age Differences, Attention Control, Cues, Elementary School Students
Hale, Gordon A.; Taweel, Suzanne S. – 1973
Children of ages 5 and 8 years were given one of three learning tasks: (a) a component selection problem, in which two stimulus components were redundant and (b) two incidental learning tasks, in which one component of the stimuli was task-relevant and the other was incidental. A posttest, measuring the children's recall for information about each…
Descriptors: Age Differences, Attention, Attention Control, Cues
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Well, Arnold D.; And Others – Journal of Experimental Child Psychology, 1980
Robust interference effects were found which declined with age. Manipulating discriminability of the relevant stimulus dimension resulted in large changes in sorting time, but interference effects did not vary with baseline difficulty. These results were interpreted as strongly supporting both an absolute decrement model and a developmental trend…
Descriptors: Adults, Age Differences, Attention Control, Attention Span
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Crone, Eveline A.; Ridderinkhof, K. Richard; Worm, Mijkje; Somsen, Riek J. M.; van der Molen, Maurits W. – Developmental Science, 2004
Four different age groups (8-9-year-olds, 11-12-year-olds, 13-15-year-olds and young adults) performed a spatial rule-switch task in which the sorting rule had to be detected on the basis of feedback or on the basis of switch cues. Performance errors were examined on the basis of a recently introduced method of error scoring for the Wisconsin Card…
Descriptors: Feedback (Response), Cues, Children, Adolescents
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Casey, B. J.; Davidson, Matthew C.; Hara, Yuko; Thomas, Kathleen M.; Martinez, Antigona; Galvan, Adriana; Halperin, Jeffrey M.; Rodriguez-Aranda, Claudia E.; Tottenham, Nim – Developmental Science, 2004
This study examined the cognitive and neural development of attention switching using a simple forced-choice attention task and functional magnetic resonance imaging. Fourteen children and adults made discriminations among stimuli based on either shape or color. Performance on these trials was compared to performance during blocked trials…
Descriptors: Reaction Time, Brain Hemisphere Functions, Developmental Stages, Attention Control
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