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Authors: Lucille Lecoutre 1 ; Sami Lini 1 ; Christophe Bey 2 ; Quentin Lebour 1 and Pierre-Alexandre Favier 2

Affiliations: 1 Akiani, France ; 2 CNRS IMS UMR 5218, France

Keyword(s): EEG, Mental Workload, Operational Situation, Video Games.

Related Ontology Subjects/Areas/Topics: Applications ; Biofeedback Technologies ; Biosignal Acquisition, Analysis and Processing ; Human-Computer Interaction ; Methodologies and Methods ; Observation, Modeling and Prediction of User Behavior ; Pattern Recognition ; Physiological Computing Systems ; Software Engineering

Abstract: We tested the electroencephalography (EEG) B-Alert X10 system (Advance Brain Monitoring, Inc.) mental workload metrics. When we evaluate a human-systems interfaces (HSI), we need to assess the operator’s state during a task in order evaluate the systems efficiency at helping the operator. Physiological metrics are of good help when it comes to evaluate the operator’s mental workload, and EEG is a promising tool. The B-Alert system includes an internal signal processing algorithm computing a mental workload index. We set up a simple experiment on a video game in order to evaluate the reliability of this index. Participants were asked to play a video game with different levels of goal (easy vs hard) as we measured subjective, behavioral and physiological indices (B-Alert mental workload index, pupillometry) of mental workload. Our results indicate that, although most of the measure point toward the same direction, the B-Alert metrics fails to give a clear indication of the mental workl oad state of the participants. The use of the B-Alert workload index alone is not precise enough to assess an operator mental workload condition with certainty. Further evaluations of this measure need to be done. (More)

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Paper citation in several formats:
Lecoutre, L.; Lini, S.; Bey, C.; Lebour, Q. and Favier, P. (2015). Evaluating EEG Measures as a Workload Assessment in an Operational Video Game Setup. In Proceedings of the 2nd International Conference on Physiological Computing Systems - PhyCS; ISBN 978-989-758-085-7; ISSN 2184-321X, SciTePress, pages 112-117. DOI: 10.5220/0005318901120117

@conference{phycs15,
author={Lucille Lecoutre. and Sami Lini. and Christophe Bey. and Quentin Lebour. and Pierre{-}Alexandre Favier.},
title={Evaluating EEG Measures as a Workload Assessment in an Operational Video Game Setup},
booktitle={Proceedings of the 2nd International Conference on Physiological Computing Systems - PhyCS},
year={2015},
pages={112-117},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005318901120117},
isbn={978-989-758-085-7},
issn={2184-321X},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Physiological Computing Systems - PhyCS
TI - Evaluating EEG Measures as a Workload Assessment in an Operational Video Game Setup
SN - 978-989-758-085-7
IS - 2184-321X
AU - Lecoutre, L.
AU - Lini, S.
AU - Bey, C.
AU - Lebour, Q.
AU - Favier, P.
PY - 2015
SP - 112
EP - 117
DO - 10.5220/0005318901120117
PB - SciTePress