Exploratory Literature Review on Shared Leadership to Aid Collaboration and Function Allocation in Human-Autonomy Teams

This research explores the potential of shared leadership as a complementary approach to function allocation within Human-Autonomy Teams (HATs), particularly in large, multi-agent contexts. Through a literature review of shared leadership in all-human organizational contexts, conducted using three databases, Web of Science, Engineering Village, and Google Scholar, the article identifies and outlines two mechanisms in shared leadership—decentralization and mutual influence—that appear promising for improving team processes and outcomes in HATs. This research underscores the need for developing frameworks or engineering guidance incorporating these mechanisms to enhance adaptability and performance in complex and dynamic environments.

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Publication Details

Journal
Proceedings of the Human Factors and Ergonomics Society Annual Meeting
Published
2024-08-15
DOI
https://doi.org/10.1177/10711813241273500
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
0.00

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article

Exploratory Literature Review on Shared Leadership to Aid Collaboration and Function Allocation in Human-Autonomy Teams

Nathan Ka Ching Lau, A. M. Elizabeth More
Proceedings of the Human Factors and Ergonomics Society Annual Meeting
Human-Automation Interaction and Safety
article

Exploratory Literature Review on Shared Leadership to Aid Collaboration and Function Allocation in Human-Autonomy Teams

Nathan Ka Ching Lau, A. M. Elizabeth More
article en

Abstract

This research explores the potential of shared leadership as a complementary approach to function allocation within Human-Autonomy Teams (HATs), particularly in large, multi-agent contexts. Through a literature review of shared leadership in all-human organizational contexts, conducted using three databases, Web of Science, Engineering Village, and Google Scholar, the article identifies and outlines two mechanisms in shared leadership—decentralization and mutual influence—that appear promising for improving team processes and outcomes in HATs. This research underscores the need for developing frameworks or engineering guidance incorporating these mechanisms to enhance adaptability and performance in complex and dynamic environments.

Proceedings of the Human Factors and Ergonomics Society Annual MeetingVol. 68(1)
Virginia Tech (US)
Division of Information and Intelligent Systems
Partnerships for the goals
Openalex Percentile: Top 83%
Human-Automation Interaction and Safety
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