Evaluating EEG Measures as a Workload Assessment in an Operational Video Game Setup

Lucille Lecoutre, Sami Lini, Christophe Bey, Quentin Lebour, Pierre-Alexandre Favier

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 workload 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.

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Paper Citation


in Harvard Style

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 - Volume 1: PhyCS, ISBN 978-989-758-085-7, pages 112-117. DOI: 10.5220/0005318901120117


in Bibtex Style

@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 - Volume 1: PhyCS,},
year={2015},
pages={112-117},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005318901120117},
isbn={978-989-758-085-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Conference on Physiological Computing Systems - Volume 1: PhyCS,
TI - Evaluating EEG Measures as a Workload Assessment in an Operational Video Game Setup
SN - 978-989-758-085-7
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