Give us a hand, mate! A holistic review of research on human-machine teaming.

IF 1.4 4区 医学 Q2 MEDICINE, GENERAL & INTERNAL Bmj Military Health Pub Date : 2024-12-24 DOI:10.1136/military-2024-002737
Jitu Patel, M Boardman, B Files, F Gregory, S Lamb, S Sarkadi, M Tešić, N Yeung
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Abstract

Defence has a significant interest in the use of artificial intelligence (AI)-based technologies to address some of the challenges it faces. At the core of future military advantage will be the effective integration of humans and AI into human-machine teams (HMT) that leverages the capabilities of people and technologies to outperform adversaries. Realising the full potential of these technologies will depend on understanding the relative strengths of humans and machines, and how we design effective integration to optimise performance and resilience across all use cases and environments.Since the first robot appeared on the assembly line, machines have effectively augmented human capability and performance; however, they fall short of being a team member-someone you can ask to give you a hand! Working in teams involves collaboration, adaptive and dynamic interactions between team members to achieve a common goal. Currently, human-machine partnership is typically one of humans and machines working alongside each other, with each conducting discrete functions within predicable process and environments. However, with recent advances in neuroscience and AI, we can now envisage the possibility of HMT, not just in physical applications, but also complex cognitive tasks.This paper provides a holistic review of the research conducted in the field of HMT from experts working in this area. It summarises completed and ongoing studies and research in the UK and USA by a broad group of researchers. This work was presented in the HMT thematic session at the Sixth International Congress on Soldiers' Physical Performance (ICSPP23 London).

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帮个忙,伙计!人机协作研究综述。
国防部对使用基于人工智能(AI)的技术来解决其面临的一些挑战非常感兴趣。未来军事优势的核心将是人类和人工智能有效整合到人机团队(HMT)中,利用人和技术的能力胜过对手。实现这些技术的全部潜力将取决于对人类和机器的相对优势的理解,以及我们如何设计有效的集成,以优化所有用例和环境的性能和弹性。自从第一个机器人出现在装配线上,机器有效地增强了人类的能力和表现;然而,他们不符合团队成员的标准——一个你可以请求帮助的人!在团队中工作涉及团队成员之间的协作、适应性和动态互动,以实现共同的目标。目前,人机合作伙伴关系通常是人类和机器一起工作,每个人在可预测的过程和环境中执行离散的功能。然而,随着神经科学和人工智能的最新进展,我们现在可以设想HMT的可能性,不仅在物理应用中,而且在复杂的认知任务中。本文从该领域的专家那里对HMT领域的研究进行了全面的回顾。它总结了英国和美国一大批研究人员完成的和正在进行的研究和研究。这项工作在第六届国际士兵体能表现大会(ICSPP23伦敦)的HMT专题会议上提出。
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来源期刊
Bmj Military Health
Bmj Military Health MEDICINE, GENERAL & INTERNAL-
CiteScore
3.10
自引率
20.00%
发文量
116
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