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EYE MOVEMENT PATTERNS IN WEB-BASED TASKS: THE INFLUENCE OF TARGET POSITION, INDIVIDUAL POSITIONING, AND TASK TYPE ON VISUAL INFORMATION PROCESSING (Update)
Published 2024-09-01“…These findings contribute to understanding how task demands modulate visual attention and potentially affect user interface design and educational technology. …”
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42
Salient Distractors Can Induce Saccade Adaptation
Published 2014-01-01“…We found that both visual attention distractors were able to induce a small degree of downward saccade adaptation but significantly more to the more salient distractors. …”
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43
Investigation of the effect of book reading activity on attention level and reaction time in student athletes
Published 2023-09-01“…In addition to personal information form, “Visual Attention Test” is applied to volunteers. The data of the research were evaluated in the SPSS program. …”
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44
Joubert Syndrome Presenting with Motor Delay and Oculomotor Apraxia
Published 2011-01-01“…Both demonstrated hypotonia and poor visual attention. The older girl at 14 weeks of age showed fine pendular horizontal nystagmus more pronounced on lateral gaze, but despite investigation with cranial MRI no diagnosis was reached. …”
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45
Modeling dynamics on the dance floor with directional swarmalators
Published 2025-02-01“…In our current study, we have expanded the swarmalator concept to encompass gaze direction as a representation of visual attention. We employ the newly developed directional swarmalator model for simulating the complex spatiotemporal dynamics observed on dance floors. …”
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46
A VAN-Based Multi-Scale Cross-Attention Mechanism for Skin Lesion Segmentation Network
Published 2023-01-01“…Therefore, we propose a new multi-scale cross-attention method called M-VAN Unet, which is designed based on the Visual Attention Network (VAN) and can effectively learn local and global features. …”
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Assessing ECG Interpretation Expertise in Medical Practitioners Through Eye Movement Data and Neuromorphic Models
Published 2025-01-01“…The suggested SNN, SCNN, RSNN, and SCLSTM models attained accuracies of 84.35%, 93.04%, 94.68%, 99.76% respectively, exceeding standard machine learning approaches in both precision and recall for identifying expertise levels based on visual attention patterns. This paradigm has the potential to construct skill evaluation tools in medical education, specifically for ECG interpretation training, thereby addressing prevalent difficulties related to inconsistent ECG diagnosis methods.…”
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48
Influence of Visual Quality and Cultural Background on Consumer Apple Preferences: An Eye-Tracking Study with Chinese and Hungarian Consumers
Published 2025-01-01“…The findings show that apple variety had no significant effect on gaze patterns, whereas cultural background had a considerable impact on visual attention measures. The most important element in grabbing and retaining customer attention was the severity of the defect, which was measured by area. …”
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Effectiveness of Retail Promotions in the Green Industry by Age Group: A Case Study
Published 2020-03-01“…Specifically, similarities and differences between younger and older consumers and their visual attention to point-of-sale (POS) information is explored. …”
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Effectiveness of Retail Promotions in the Green Industry by Age Group: A Case Study
Published 2020-03-01“…Specifically, similarities and differences between younger and older consumers and their visual attention to point-of-sale (POS) information is explored. …”
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51
Characterization of visual cognition in pre-manifest, manifest and reduced penetrance Huntington’s disease
Published 2025-02-01“…ROC analyses showed that especially visuospatial abilities, visual memory, and visual attention (AUC = 0.927, 0.878, 0.874, respectively) effectively differentiated HC and pre-manifest from early and manifest HD. …”
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EMNet: A Novel Few-Shot Image Classification Model with Enhanced Self-Correlation Attention and Multi-Branch Joint Module
Published 2025-01-01“…In this research, inspired by the principles of biological visual attention mechanisms and swarm intelligence found in nature, we present an Enhanced Self-Correlation Attention and Multi-Branch Joint Module Network (EMNet), a novel model for few-shot image classification. …”
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Effects of Acute Long- versus Short-Interval High-Intensity Interval Training on Attention and Psychological States in a Sample of Male and Female Adolescents: A Pilot Study
Published 2023-08-01“…Practitioners may implement short-interval HIIT prior to any tasks that require high levels of visual attention.…”
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MGScoliosis: Multi-grained scoliosis detection with joint ordinal regression from natural image
Published 2025-01-01“…Besides, we adopt the visual attention network with large kernel attention as the backbone for feature learning, which can model local and global correlations with efficient computations. …”
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Assessment of Attentional Functioning in Health Professionals of a Brazilian Tertiary Referral Hospital for COVID-19
Published 2021-01-01“…Therefore, hospital employees performed a Continuous Visual Attention Test. This test consisted of a 90-second Go/No-Go task with 72 (80%) targets and 18 (20%) nontargets. …”
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CSTN: A cross-region crop mapping method integrating self-training and contrastive domain adaptation
Published 2025-02-01“…The interpretability of the model is demonstrated through an in-depth analysis of feature map visualizations, attention map visualizations, and the effectiveness of the modules. …”
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Remediation Effects on N170 and P300 in Children with Developmental Dyslexia
Published 2010-01-01“…Considering the well-known implication of P300 in attentional processes, our results reflect the strong link between reading skill improvement after remediation and visual attentional process maturation.…”
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