In response to calls for research to improve human-machine teaming, we present a “perspective” paper that explores techniques from computer science that can enhance machine agents for human-machine teams. As part of this paper, we (1) summarize the state of the science on critical team competencies identified for effective HMT, (2) discuss technological gaps preventing machines from fully realizing these competencies, and (3) identify ways that emerging AI capabilities may address these gaps and enhance performance in HMT. We extend beyond extant literature by incorporating recent technologies and techniques and describing their potential for contributing to the advancement of HMT.

中文翻译：

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提升人机团队的团队合作能力：来自团队科学的观点

为响应人们对改善人机团队研究的呼吁，我们提出了一份“观点”论文，探讨了计算机科学中可以增强人机团队机器代理的技术。作为本文的一部分，我们（1）总结了为有效HMT而确定的关键团队能力的科学状况，（2）讨论了阻止机器无法充分实现这些能力的技术差距，以及（3）确定了新兴AI功能可能的方式解决这些差距并提高HMT的性能。我们通过结合最新的技术和方法并描述其对HMT的发展做出贡献的潜力，扩展了现有文献的范围。