A Bio-Cybernetic System for Regulating Operator Engagement in an Adaptively Automated, Multi-Task Flight Environment

A bio-cybemetic, closed-loop system was validated for use in an adaptively automated environment. Subjects were asked to perform either one task or three tasks from the MAT battery. EEG was continuously sampled while they performed the task and an EEG index was derived (20 beta/alpha + theta). The system made allocation decisions based upon the level of operator engagement as determined by the EEG index. The NASA-TLX was administered after each trial. The results of the study demonstrated that it was possible to moderate an operator's level of engagement through a closed-loop system driven by the operator's EEG. It also demonstrated that the system was sensitive to increases in mental workload. Theoretical and practical implications are discussed.

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Publication Details

Journal
ODU Digital Commons (Old Dominion University)
Published
2024-12-05
DOI
https://doi.org/10.25777/86z5-t831
Primary Topic
Forest Ecology and Biodiversity Studies
Type
article
Field-Weighted Citation Impact
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article

A Bio-Cybernetic System for Regulating Operator Engagement in an Adaptively Automated, Multi-Task Flight Environment

ODU Digital Commons (Old Dominion University)
Forest Ecology and Biodiversity Studies
article

A Bio-Cybernetic System for Regulating Operator Engagement in an Adaptively Automated, Multi-Task Flight Environment

article en

Abstract

A bio-cybemetic, closed-loop system was validated for use in an adaptively automated environment. Subjects were asked to perform either one task or three tasks from the MAT battery. EEG was continuously sampled while they performed the task and an EEG index was derived (20 beta/alpha + theta). The system made allocation decisions based upon the level of operator engagement as determined by the EEG index. The NASA-TLX was administered after each trial. The results of the study demonstrated that it was possible to moderate an operator's level of engagement through a closed-loop system driven by the operator's EEG. It also demonstrated that the system was sensitive to increases in mental workload. Theoretical and practical implications are discussed.

ODU Digital Commons (Old Dominion University)
Dominion University College (GH), Old Dominion University (US)
Openalex Percentile: Top 56%
Forest Ecology and Biodiversity Studies
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