Man-Machine Teaming: AI’s Overload Management and Task Allocation

Weifei Xie, Weifei Xie, Weifei Xie, Cédric Herpson, Christophe Cambier, Jean-Marie Dembelle

2024

Abstract

Sustained concentration can induce cognitive overload in demanding roles such as surgeons and soldiers, prompting research into workload management via surveys, performance metrics, and physiological measures. However, these conventional methods face challenges like time-intensive survey processes, unreliable metrics, and equipment dependency, complicating their application in projects like Recolte, which develops partially autonomous drone fleets for data collection.To overcome these challenges, we designed an AI-Human task distribution algorithm that assesses mental workload considering task complexity, duration, and operator competency. This algorithm also incorporates factors influencing recovery speed, including rest type, operator state, and environmental conditions. We assessed four recovery models to determine their suitability for our use case, employing AI for routine tasks to mitigate human workload. Our algorithm aims to optimize team composition by determining the optimal timing for integrating additional human or advanced AI resources to ensure mission success. Empirical findings from this study provide insights into the recovery models’ impact on operational effectiveness, facilitating the analysis of success rates across different task configurations and operator settings. This method ensures continuous human training, even with the presence of AI operators for specific tasks.

Paper Citation

in Harvard Style

Xie W., Herpson C., Cambier C. and Dembelle J. (2024). Man-Machine Teaming: AI’s Overload Management and Task Allocation. In Proceedings of the 2nd International Conference on Cognitive Aircraft Systems - Volume 1: ICCAS; ISBN 978-989-758-724-5, SciTePress, pages 95-103. DOI: 10.5220/0012984900004562

in Bibtex Style

@conference{iccas24,
author={Weifei Xie and Cédric Herpson and Christophe Cambier and Jean-Marie Dembelle},
title={Man-Machine Teaming: AI’s Overload Management and Task Allocation},
booktitle={Proceedings of the 2nd International Conference on Cognitive Aircraft Systems - Volume 1: ICCAS},
year={2024},
pages={95-103},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012984900004562},
isbn={978-989-758-724-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Cognitive Aircraft Systems - Volume 1: ICCAS
TI - Man-Machine Teaming: AI’s Overload Management and Task Allocation
SN - 978-989-758-724-5
AU - Xie W.
AU - Herpson C.
AU - Cambier C.
AU - Dembelle J.
PY - 2024
SP - 95
EP - 103
DO - 10.5220/0012984900004562
PB - SciTePress