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Combined use of eye-tracking and EEG to understand visual information processing

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Flad,  N
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Bülthoff,  HH
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Chuang,  LL
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Citation

Flad, N., Bülthoff, H., & Chuang, L. (2015). Combined use of eye-tracking and EEG to understand visual information processing. In H.-J. Schulz, & B. Urban (Eds.), International Summer School on Visual Computing 2015 (pp. 115-124). Stuttgart, Germany: Fraunhofer Verlag.


Cite as: https://hdl.handle.net/21.11116/0000-0000-820A-2
Abstract
Eye-tracking and electroencephalography (EEG) are popular methods to respectively evaluate visual information sampling andprocessing behavior in humans. It has been shown that the properties ofvisual stimuli and their mode of presentation can influence sampling behavior. However, it is less clear how information is processed after it has been sampled during natural eye-movement behavior. This is becauseEEG and eye-tracking tend to be performed separately given that eye-movements cause artifacts in the EEG. This paper provides an overviewon recent developments that allow EEG recordings to be performed even in the presence of eye-movements. Modern algorithms can remove ocular artifacts in the EEG, enabling the use of EEG data recorded during naturalistic viewing conditions. In combination with EEG, electrooculography (EOG) recordings can be a viable alternative to conventional eye-trackers for measuring fixations, because EOG is recorded together with EEG and is therefore already synchronized.