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Strategies for enhancing automatic fixation detection in head-mounted eye tracking
Moving through a dynamic world, humans need to intermittently stabilize gaze targets on their retina to process visual information. Overt attention...
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Combining EEG and eye-tracking in virtual reality: Obtaining fixation-onset event-related potentials and event-related spectral perturbations
Extensive research conducted in controlled laboratory settings has prompted an inquiry into how results can be generalized to real-world situations...
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TURead: An eye movement dataset of Turkish reading
In this study, we present TURead, an eye movement dataset of silent and oral sentence reading in Turkish, an agglutinative language with a shallow...
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Fixation classification: how to merge and select fixation candidates
Eye trackers are applied in many research fields (e.g., cognitive science, medicine, marketing research). To give meaning to the eye-tracking data,...
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Deep learning models for webcam eye tracking in online experiments
Eye tracking is prevalent in scientific and commercial applications. Recent computer vision and deep learning methods enable eye tracking with...
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Ageing of grammatical advance planning in spoken sentence production: an eye movement study
This study used an image-description paradigm with concurrent eye movement recordings to investigate differences of grammatical advance planning...
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Noise estimation for head-mounted 3D binocular eye tracking using Pupil Core eye-tracking goggles
Head-mounted, video-based eye tracking is becoming increasingly common and has promise in a range of applications. Here, we provide a practical and...
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Gender differences in individual emotion recognition in threatening situations: an eye-tracking study
Accurately and quickly identifying other people’s emotional information is an important social cognitive ability. Social interaction situations...
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Eye gaze During Semi-naturalistic Face-to-Face Interactions in Autism
ObjectivesReduced eye contact is common in autistic people and has frequently been investigated using two-dimensional stimuli with eye-tracking...
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Do Miniature Eye Movements Affect Neurofeedback Training Performance? A Combined EEG-Eye Tracking Study
EEG-based neurofeedback is a prominent method to modulate one’s own brain activity in a desired direction. However, the EEG signal can be disturbed...
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Eye Tracking in MEG
Magnetoencephalography (MEG) can measure brain activity in ms-level temporal resolution. MEG sensors are super sensitive devices for magnetic signals...
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Saccade execution increases the preview effect with faces: An EEG and eye-tracking coregistration study
Under naturalistic viewing conditions, humans conduct about three to four saccadic eye movements per second. These dynamics imply that in real life,...
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How do face processing strategies and eye-movements contribute to individual differences in face recognition ability?
The present study aimed to investigate the contribution of holistic processing and eye-movements in explaining individual differences in face...
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(Micro)saccade-related potentials during face recognition: A study combining EEG, eye-tracking, and deconvolution modeling
Under natural viewing conditions, complex stimuli such as human faces are typically looked at several times in succession, implying that their...
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Eye contact avoidance in crowds: A large wearable eye-tracking study
Eye contact is essential for human interactions. We investigated whether humans are able to avoid eye contact while navigating crowds. At a science...
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Best practices for cleaning eye movement data in reading research
One challenge that comes with studying eye movement behavior is deciding how to clean the eye movement data (e.g., fixation durations) before...
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The improvement of attentional bias in individuals with problematic smartphone use through cognitive reappraisal: an eye-tracking study
Attentional bias toward smartphone-related stimuli can intensify Problematic Smartphone Use (PSU) behaviors. The main objective of this study was to...
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Assessing the data quality of AdHawk MindLink eye-tracking glasses
Most commercially available eye-tracking devices rely on video cameras and image processing algorithms to track gaze. Despite this, emerging...
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An interpretable measure of semantic similarity for predicting eye movements in reading
Predictions about upcoming content play an important role during language comprehension and processing. Semantic similarity as a metric has been used...
