Assessing Visual Attention in Children Using GP3 Eye Tracker

Costescu, Cristina; Roșan, Adrian; Nagy, Brigitta; Hathazi, Andrea; Kővári, Attila; Katona, József; Demeter, Robert; Heldal, Ilona; Helgesen, Carsten; Thill, Serge; Efrem, Igor

doi:10.1109/coginfocom47531.2019.9089995

Cited by 17 publications

(8 citation statements)

References 55 publications

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“…By increasing the understanding of how typical and atypical populations perceive (e.g. ASD, ADHD), label, express and use the information about facial expression in their social interaction, by using effective emotion regulation strategies, we can further develop intervention programs for improving individuals' quality of life [52], [53], [54].…”

Section: Discussionmentioning

confidence: 99%

Educational Tool for Testing Emotion Recognition Abilities in Adolescents

Costescu¹,

Roșan²,

Hathazi³

et al. 2020

ACTA POLYTECH HUNG

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Emotion recognition represents an important predictor for the development of social interactions. Previous studies have shown that the ability to recognize emotions, the speed, and accuracy, with which individuals process emotions, is an ability that develops with age, starting from early childhood. Children with autism spectrum disorder (ASD) show reduced attention to faces and they have difficulties in identifying emotions. Our goal was to investigate the effectiveness of a technology-based educational tool for assessing emotion recognition skills in individuals with ASD and typical developing children.51 children aged between 12 and 14 years were enrolled in our study, out of which 11 have a diagnosis of ASD. Our results reveal that adolescents perceive emotions differently depending on the type of stimuli that we use and on their ages.

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Section: Discussionmentioning

confidence: 99%

Educational Tool for Testing Emotion Recognition Abilities in Adolescents

Costescu¹,

Roșan²,

Hathazi³

et al. 2020

ACTA POLYTECH HUNG

Self Cite

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“…Educational science is one of the fields of applied eye-tracking research [26]. Some specific applications of human-computer interaction systems include studying visual attention [27], problem solving and executive function [28], syntax comprehension [29], hand-gesturebased cursor control [30], and eye-hand coordination [31].…”

Section: Eye Tracking In Learningmentioning

confidence: 99%

Predictive Eye Movements Characterize Active, Not Passive, Participation in the Collective Embodied Learning of a Scientific Concept

Zohar,

Karp,

Ben-Joseph

et al. 2023

Applied Sciences

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Embodied pedagogy maintains that teaching and learning abstract concepts can benefit significantly from integrating bodily movements into the process. However, the dynamics of such an integration, as well as its dependency on active participation, are not known. Here, we examined the dynamics of visual perception loops during embodied training by tracking eye movements during a session of the collective embodied learning of a concept in physics—angular velocity. Embodied learning was accomplished by the subjects, forming a line that rotated around a central object, in this case, a bottle. We tracked the gaze resulting from the eye and head movements in 12 subjects, who both actively participated in the collective embodied exercise and passively watched it. The tracking data of 7 of these 12 subjects passed our tracking reliability criteria in all the trials and are reported here. During active learning, the learners tended to look ahead of the rotating line (by 35.18 ± 14.82 degrees). In contrast, while passively watching others performing the task, the learners tended to look directly at the line. Interestingly, while the learners were performing the collective exercise, they were unaware of looking ahead of the rotating line. We concluded that the closed-loop perceptual dynamics differed between the active and passive modes, and discussed possible consequences of the observed differences with respect to embodied pedagogy.

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“…OGAMA is a stand-alone program that runs on Microsoft Windows platforms and is designed to manage data from a variety of psychology and usability testing studies. OGAMA has been used in conjunction with GP3 to identify attention deficit disorder in children [63]. Data-controlled preprocessing, or filtering eye and mouse movement, are some of the key features of OGAMA.…”

Section: Ogamamentioning

confidence: 99%

Eye-Tracking Assistive Technologies for Individuals With Amyotrophic Lateral Sclerosis

et al. 2022

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Amyotrophic lateral sclerosis, also known as ALS, is a progressive nervous system disorder that affects nerve cells in the brain and spinal cord, resulting in the loss of muscle control. For individuals with ALS, where mobility is limited to the movement of the eyes, the use of eye-tracking-based applications can be applied to achieve some basic tasks with certain digital interfaces. This paper presents a review of existing eye-tracking software and hardware through which eye-tracking their application is sketched as an assistive technology to cope with ALS. Eye-tracking also provides a suitable alternative as control of game elements. Furthermore, artificial intelligence has been utilized to improve eye-tracking technology with significant improvement in calibration and accuracy. Gaps in literature are highlighted in the study to offer a direction for future research.

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Assessing Visual Attention in Children Using GP3 Eye Tracker

Cited by 17 publications

References 55 publications

Educational Tool for Testing Emotion Recognition Abilities in Adolescents

Educational Tool for Testing Emotion Recognition Abilities in Adolescents

Predictive Eye Movements Characterize Active, Not Passive, Participation in the Collective Embodied Learning of a Scientific Concept

Eye-Tracking Assistive Technologies for Individuals With Amyotrophic Lateral Sclerosis

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