Combining EEG and Eye Tracking: Using Fixation-Locked Potentials in Visual Search

Visual search is a complex task that involves many neural pathways to identify relevant areas of interest within a scene. Humans remain a critical component in visual search tasks, as they can effectively perceive anomalies within complex scenes. However, this task can be challenging, particularly u...

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Main Authors: Brent Winslow, Angela Carpenter, Jesse Flint, Xuezhong Wang, David Tomasetti, Matthew Johnston, Kelly Hale
Format: Article
Language:English
Published: Bern Open Publishing 2013-11-01
Series:Journal of Eye Movement Research
Subjects:
Online Access:https://bop.unibe.ch/JEMR/article/view/2364
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author Brent Winslow
Angela Carpenter
Jesse Flint
Xuezhong Wang
David Tomasetti
Matthew Johnston
Kelly Hale
author_facet Brent Winslow
Angela Carpenter
Jesse Flint
Xuezhong Wang
David Tomasetti
Matthew Johnston
Kelly Hale
author_sort Brent Winslow
collection DOAJ
description Visual search is a complex task that involves many neural pathways to identify relevant areas of interest within a scene. Humans remain a critical component in visual search tasks, as they can effectively perceive anomalies within complex scenes. However, this task can be challenging, particularly under time pressure. In order to improve visual search training and performance, an objective, process-based measure is needed. Eye tracking technology can be used to drive real-time parsing of EEG recordings, providing an indication of the analysis process. In the current study, eye fixations were used to generate ERPs during a visual search task. Clear differences were observed following performance, suggesting that neurophysiological signatures could be developed to prevent errors in visual search tasks.
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spelling doaj.art-68d8834e02ad4c0f9c0ea8a112f9ff7b2022-12-21T22:29:04ZengBern Open PublishingJournal of Eye Movement Research1995-86922013-11-016410.16910/jemr.6.4.5Combining EEG and Eye Tracking: Using Fixation-Locked Potentials in Visual SearchBrent Winslow0Angela Carpenter1Jesse Flint2Xuezhong Wang3David Tomasetti4Matthew Johnston5Kelly Hale6Design Interactive, Inc.Design Interactive, Inc.Design Interactive, Inc.Design Interactive, Inc.Design Interactive, Inc.Design Interactive, Inc.Design Interactive, Inc.Visual search is a complex task that involves many neural pathways to identify relevant areas of interest within a scene. Humans remain a critical component in visual search tasks, as they can effectively perceive anomalies within complex scenes. However, this task can be challenging, particularly under time pressure. In order to improve visual search training and performance, an objective, process-based measure is needed. Eye tracking technology can be used to drive real-time parsing of EEG recordings, providing an indication of the analysis process. In the current study, eye fixations were used to generate ERPs during a visual search task. Clear differences were observed following performance, suggesting that neurophysiological signatures could be developed to prevent errors in visual search tasks.https://bop.unibe.ch/JEMR/article/view/2364electroencephalographysaccadesvisual attentionERP
spellingShingle Brent Winslow
Angela Carpenter
Jesse Flint
Xuezhong Wang
David Tomasetti
Matthew Johnston
Kelly Hale
Combining EEG and Eye Tracking: Using Fixation-Locked Potentials in Visual Search
Journal of Eye Movement Research
electroencephalography
saccades
visual attention
ERP
title Combining EEG and Eye Tracking: Using Fixation-Locked Potentials in Visual Search
title_full Combining EEG and Eye Tracking: Using Fixation-Locked Potentials in Visual Search
title_fullStr Combining EEG and Eye Tracking: Using Fixation-Locked Potentials in Visual Search
title_full_unstemmed Combining EEG and Eye Tracking: Using Fixation-Locked Potentials in Visual Search
title_short Combining EEG and Eye Tracking: Using Fixation-Locked Potentials in Visual Search
title_sort combining eeg and eye tracking using fixation locked potentials in visual search
topic electroencephalography
saccades
visual attention
ERP
url https://bop.unibe.ch/JEMR/article/view/2364
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