Journal article
Capturing Cognitive Events Embedded in the Real World Using Mobile Electroencephalography and Eye-Tracking
JOURNAL OF COGNITIVE NEUROSCIENCE, v 34(12), p2237
01 Nov 2022
PMID: 36007068
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
The study of cognitive processes underlying natural behaviors implies departing from computerized paradigms and artificial experimental probes. The present study aims to assess the feasibility of capturing neural markers (P300 ERPs) of cognitive processes evoked in response to the identification of task-relevant objects embedded in a real-world environment. To this end, EEG and eye-tracking data were recorded while participants attended stimuli presented on a tablet and while they searched for books in a library. Initial analyses of the library data revealed that P300-like features shifted in time. A Dynamic Time Warping analysis confirmed the presence of P300 ERP in the library condition. Library data were then lag-corrected based on cross-correlation coefficients. Together, these approaches uncovered P300 ERP responses in the library recordings. These findings highlight the relevance of scalable experimental designs, joint brain and body recordings, and template-matching analyses to capture cognitive events during natural behaviors.
Metrics
Details
- Title
- Capturing Cognitive Events Embedded in the Real World Using Mobile Electroencephalography and Eye-Tracking
- Publication Details
- JOURNAL OF COGNITIVE NEUROSCIENCE, v 34(12), p2237
- Publisher
- MIT PRESS; CAMBRIDGE
- Grant note
- This work was supported by the Agence Innovation Defense -AID (RAPID Neurosynchrone project). Frederic Dehais is a ANITI (Artificial and Natural Intelligence Toulouse Institute) chairholder. Simon Ladouce and Magda Mustile were supported by scholarships from the University of Stirling and a research grant from SINAPSE (Scottish Imaging Network: A Platform for Scientific excellence).
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Drexel University
- Web of Science ID
- WOS:000877188500002
- Scopus ID
- 2-s2.0-85140882096
- Other Identifier
- 991021861211404721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Neurosciences
- Psychology, Experimental