Kinesthesia in a sustained-attention driving task

Chuang, CH; Ko, LW; Jung, TP; Lin, CT

Kinesthesia in a sustained-attention driving task

Chuang, CH

Ko, LW Jung, TP Lin, CT

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Publication Type:: Journal Article
Citation:: NeuroImage, 2014, 91 pp. 187 - 202
Issue Date:: 2014-05-01

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Field	Value	Language
dc.contributor.author	Chuang, CH https://orcid.org/0000-0002-5043-8380	en_US
dc.contributor.author	Ko, LW	en_US
dc.contributor.author	Jung, TP	en_US
dc.contributor.author	Lin, CT https://orcid.org/0000-0001-8371-8197	en_US
dc.date.available	2014-01-11	en_US
dc.date.issued	2014-05-01	en_US
dc.identifier.citation	NeuroImage, 2014, 91 pp. 187 - 202	en_US
dc.identifier.issn	1053-8119	en_US
dc.identifier.uri	http://hdl.handle.net/10453/43805
dc.description.abstract	This study investigated the effects of kinesthetic stimuli on brain activities during a sustained-attention task in an immersive driving simulator. Tonic and phasic brain responses on multiple timescales were analyzed using time-frequency analysis of electroencephalographic (EEG) sources identified by independent component analysis (ICA). Sorting EEG spectra with respect to reaction times (RT) to randomly introduced lane-departure events revealed distinct effects of kinesthetic stimuli on the brain under different performance levels. Experimental results indicated that EEG spectral dynamics highly correlated with performance lapses when driving involved kinesthetic feedback. Furthermore, in the realistic environment involving both visual and kinesthetic feedback, a transitive relationship of power spectra between optimal-, suboptimal-, and poor-performance groups was found predominately across most of the independent components. In contrast to the static environment with visual input only, kinesthetic feedback reduced theta-power augmentation in the central and frontal components when preparing for action and error monitoring, while strengthening alpha suppression in the central component while steering the wheel. In terms of behavior, subjects tended to have a short response time to process unexpected events with the assistance of kinesthesia, yet only when their performance was optimal. Decrease in attentional demand, facilitated by kinesthetic feedback, eventually significantly increased the reaction time in the suboptimal-performance state. Neurophysiological evidence of mutual relationships between behavioral performance and neurocognition in complex task paradigms and experimental environments, presented in this study, might elucidate our understanding of distributed brain dynamics, supporting natural human cognition and complex coordinated, multi-joint naturalistic behavior, and lead to improved understanding of brain-behavior relations in operating environments. © 2014 Elsevier Inc.	en_US
dc.relation.ispartof	NeuroImage	en_US
dc.relation.isbasedon	10.1016/j.neuroimage.2014.01.015	en_US
dc.subject.classification	Neurology & Neurosurgery	en_US
dc.subject.mesh	Humans	en_US
dc.subject.mesh	Electroencephalography	en_US
dc.subject.mesh	Alpha Rhythm	en_US
dc.subject.mesh	Cortical Synchronization	en_US
dc.subject.mesh	Analysis of Variance	en_US
dc.subject.mesh	Data Interpretation, Statistical	en_US
dc.subject.mesh	Photic Stimulation	en_US
dc.subject.mesh	Feedback, Psychological	en_US
dc.subject.mesh	Psychomotor Performance	en_US
dc.subject.mesh	Attention	en_US
dc.subject.mesh	Reaction Time	en_US
dc.subject.mesh	Kinesthesis	en_US
dc.subject.mesh	Evoked Potentials	en_US
dc.subject.mesh	Automobile Driving	en_US
dc.subject.mesh	Computer Simulation	en_US
dc.subject.mesh	Female	en_US
dc.subject.mesh	Male	en_US
dc.subject.mesh	Young Adult	en_US
dc.title	Kinesthesia in a sustained-attention driving task	en_US
dc.type	Journal Article
utslib.citation.volume	91	en_US
utslib.for	1702 Cognitive Sciences	en_US
utslib.for	0903 Biomedical Engineering	en_US
utslib.for	11 Medical and Health Sciences	en_US
utslib.for	17 Psychology and Cognitive Sciences	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US
pubs.volume	91	en_US

Abstract:

This study investigated the effects of kinesthetic stimuli on brain activities during a sustained-attention task in an immersive driving simulator. Tonic and phasic brain responses on multiple timescales were analyzed using time-frequency analysis of electroencephalographic (EEG) sources identified by independent component analysis (ICA). Sorting EEG spectra with respect to reaction times (RT) to randomly introduced lane-departure events revealed distinct effects of kinesthetic stimuli on the brain under different performance levels. Experimental results indicated that EEG spectral dynamics highly correlated with performance lapses when driving involved kinesthetic feedback. Furthermore, in the realistic environment involving both visual and kinesthetic feedback, a transitive relationship of power spectra between optimal-, suboptimal-, and poor-performance groups was found predominately across most of the independent components. In contrast to the static environment with visual input only, kinesthetic feedback reduced theta-power augmentation in the central and frontal components when preparing for action and error monitoring, while strengthening alpha suppression in the central component while steering the wheel. In terms of behavior, subjects tended to have a short response time to process unexpected events with the assistance of kinesthesia, yet only when their performance was optimal. Decrease in attentional demand, facilitated by kinesthetic feedback, eventually significantly increased the reaction time in the suboptimal-performance state. Neurophysiological evidence of mutual relationships between behavioral performance and neurocognition in complex task paradigms and experimental environments, presented in this study, might elucidate our understanding of distributed brain dynamics, supporting natural human cognition and complex coordinated, multi-joint naturalistic behavior, and lead to improved understanding of brain-behavior relations in operating environments. © 2014 Elsevier Inc.

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http://hdl.handle.net/10453/43805