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Schneider, Bertrand; Pea, Roy – Educational Media and Technology Yearbook, 2017
In this chapter we present the results of an eye-tracking study on collaborative problemsolving dyads. Dyads remotely collaborated to learn from contrasting cases involving basic concepts about how the human brain processes visual information. In one condition, dyads saw the eye gazes of their partner on the screen; in a control group, they did…
Descriptors: Cooperative Learning, Eye Movements, Problem Solving, Brain
Booth, Rhonda D. L.; Happé, Francesca G. E. – Journal of Autism and Developmental Disorders, 2018
Frith's original notion of 'weak central coherence' suggested that increased local processing in autism spectrum disorder (ASD) resulted from reduced global processing. More recent accounts have emphasised superior local perception and suggested intact global integration. However, tasks often place local and global processing in direct trade-off,…
Descriptors: Autism, Pervasive Developmental Disorders, Cognitive Processes, Intelligence Quotient
Gazes, Regina Paxton; Hampton, Robert R.; Lourenco, Stella F. – Developmental Science, 2017
It is surprising that there are inconsistent findings of transitive inference (TI) in young infants given that non-linguistic species succeed on TI tests. To conclusively test for TI in infants, we developed a task within the social domain, with which infants are known to show sophistication. We familiarized 10- to 13-month-olds (M = 11.53 months)…
Descriptors: Inferences, Infants, Control Groups, Tests
Bostelmann, M.; Glaser, B.; Zaharia, A.; Eliez, S.; Schneider, M. – Journal of Intellectual Disability Research, 2017
Background: Chromosome 22q11.2 microdeletion syndrome (22q11.2DS) is a genetic syndrome characterised by a unique cognitive profile. Individuals with the syndrome present several non-verbal deficits, including visual memory impairments and atypical exploration of visual information. In this study, we seek to understand how visual attention may…
Descriptors: Visual Impairments, Retention (Psychology), Multiple Choice Tests, Genetics
Pickron, Charisse B.; Iyer, Arjun; Fava, Eswen; Scott, Lisa S. – Child Development, 2018
This study examined differences in visual attention as a function of label learning from 6 to 9 months of age. Before and after 3 months of parent-directed storybook training with computer-generated novel objects, event-related potentials and visual fixations were recorded while infants viewed trained and untrained images (n = 23). Relative to a…
Descriptors: Child Development, Visual Perception, Attention Control, Parent Child Relationship
Harveson, Andrew T.; Hannon, James C.; Brusseau, Timothy A.; Podlog, Leslie; Papadopoulos, Charilaos; Durrant, Lynne H.; Hall, Morgan S.; Kang, Kyoung-doo – Research Quarterly for Exercise and Sport, 2016
Purpose: The purpose of this study was to determine differences in cognition between acute bouts of resistance exercise, aerobic exercise, and a nonexercise control in an untrained youth sample. Method: Ninety-four participants performed 30 min of aerobic exercise, resistance exercise, or nonexercise separated by 7 days each in a randomized…
Descriptors: Cognitive Ability, High School Students, Exercise, Control Groups
Eikmeier, Verena; Alex-Ruf, Simone; Maienborn, Claudia; Ulrich, Rolf – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2015
Different lines of research suggest that our mental representations of time and space are linked, though the strength of this linkage has only recently been addressed for the front-back mental timeline (Eikmeier, Schröter, Maienborn, Alex-Ruf, & Ulrich, 2013). The present study extends this investigation to the left-right mental timeline. In…
Descriptors: Cognitive Processes, Control Groups, Benchmarking, Time Perspective
DiCriscio, Antoinette Sabatino; Miller, Stephanie J.; Hanna, Eleanor K.; Kovac, Megan; Turner-Brown, Lauren; Sasson, Noah J.; Sapyta, Jeffrey; Troiani, Vanessa; Dichter, Gabriel S. – Journal of Autism and Developmental Disorders, 2016
Prosaccade and antisaccade errors in the context of social and nonsocial stimuli were investigated in youth with autism spectrum disorder (ASD; n = 19) a matched control sample (n = 19), and a small sample of youth with obsessive compulsive disorder (n = 9). Groups did not differ in error rates in the prosaccade condition for any stimulus…
Descriptors: Pervasive Developmental Disorders, Attention Control, Visual Perception, Visual Measures
Miller, Louisa; McGonigle-Chalmers, Maggie – Journal of Autism and Developmental Disorders, 2014
Perceptual processing in autism is associated with both "strengths" and "weaknesses" but within a literature that varies widely in terms of the assessments used. We report data from 12 children with autism spectrum disorders (ASD) and 12 age and IQ matched neurotypical controls tested on a set of tasks using the same stimuli…
Descriptors: Autism, Pervasive Developmental Disorders, Perceptual Development, Visual Perception
Holt, Anna E.; Deák, Gedeon – Journal of Cognition and Development, 2015
In simple rule-switching tests, 3- and 4-year-olds can follow each of two sorting rules but sometimes make perseverative errors when switching. Older children make few errors but respond slowly when switching. These age-related changes might reflect the maturation of executive functions (e.g., inhibition). However, they might also reflect…
Descriptors: Cues, Task Analysis, Executive Function, Control Groups
Evers, Kris; de-Wit, Lee; Van der Hallen, Ruth; Haesen, Birgitt; Steyaert, Jean; Noens, Ilse; Wagemans, Johan – Journal of Autism and Developmental Disorders, 2014
This study was inspired by the more locally oriented processing style in autism spectrum disorders (ASD). A modified multiple object tracking (MOT) task was administered to a group of children with and without ASD. Participants not only had to distinguish moving targets from distracters, but they also had to track targets when they were visually…
Descriptors: Cognitive Processes, Autism, Pervasive Developmental Disorders, Eye Movements
Geringswald, Franziska; Herbik, Anne; Hofmüller, Wolfram; Hoffmann, Michael B.; Pollmann, Stefan – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2015
Allocation of visual attention is crucial for encoding items into visual long-term memory. In free vision, attention is closely linked to the center of gaze, raising the question whether foveal vision loss entails suboptimal deployment of attention and subsequent impairment of object encoding. To investigate this question, we examined visual…
Descriptors: Visual Perception, Attention, Cognitive Processes, Long Term Memory
Schneider, Bertrand; Pea, Roy – International Journal of Computer-Supported Collaborative Learning, 2013
In this paper we present the results of an eye-tracking study on collaborative problem-solving dyads. Dyads remotely collaborated to learn from contrasting cases involving basic concepts about how the human brain processes visual information. In one condition, dyads saw the eye gazes of their partner on the screen; in a control group, they did not…
Descriptors: Cooperative Learning, Eye Movements, Problem Solving, Brain
Bekele, Esubalew; Crittendon, Julie; Zheng, Zhi; Swanson, Amy; Weitlauf, Amy; Warren, Zachary; Sarkar, Nilanjan – Journal of Autism and Developmental Disorders, 2014
Teenagers with autism spectrum disorder (ASD) and age-matched controls participated in a dynamic facial affect recognition task within a virtual reality (VR) environment. Participants identified the emotion of a facial expression displayed at varied levels of intensity by a computer generated avatar. The system assessed performance (i.e.,…
Descriptors: Adolescents, Autism, Pervasive Developmental Disorders, Recognition (Psychology)
Davidenko, Nicolas; Flusberg, Stephen J. – Cognition, 2012
Visual processing is highly sensitive to stimulus orientation; for example, face perception is drastically worse when faces are oriented inverted vs. upright. However, stimulus orientation must be established in relation to a particular reference frame, and in most studies, several reference frames are conflated. Which reference frame(s) matter in…
Descriptors: Recognition (Psychology), Task Analysis, Experiments, Perception

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