A SYSTEMATIC REVIEW OF HUMAN FACTORS AND AI INFLUENCING OPERATOR PERFORMANCE IN MUM-T ENVIRONMENTS

Abstract

© 2024, International Council of the Aeronautical Sciences. All rights reserved.This paper conducts a systematic quantitative literature review exploring the interplay between human factors and artificial intelligence (AI) in Manned-Unmanned Teaming (MUM-T) contexts. With AI’s rapid advancement and its growing role in military operations, especially in UAV management, a deeper understanding of how human cognitive capabilities intersect with AI is crucial. This review meticulously evaluates the existing body of literature, following a methodical process of gathering information, building a database, and generating a thorough analysis. The results of this review are organized into principal thematic areas, including levels of autonomy, the dynamics of trust in human-machine interactions, cognitive workload management, experimental practices, and analysis of human factors. The findings underscore the intricacies of integrating AI with human operators in MUM-T scenarios, revealing both challenges and opportunities. This comprehensive literature overview aims not only to synthesize current knowledge but also to guide future research and development in the domain, underlining the need for strategies that effectively marry AI capabilities with human expertise in complex military operations.

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