Complex work in teams requires coordination across team members and their technology as well as the ability to change and adapt over time to achieve effective performance. To support such complex interactions, recent efforts have worked toward the design of adaptive human-autonomy teaming systems that can provide feedback in or near real time to achieve the desired individual or team results. However, while significant advancements have been made to better model and understand the dynamics of team interaction and its relationship with task performance, appropriate measures of team coordination and computational methods to detect changes in coordination have not yet been widely investigated. Having the capacity to measure coordination in real time is quite promising as it provides the opportunity to provide adaptive feedback that may influence and regulate teams’ coordination patterns and, ultimately, drive effective team performance. A critical requirement to reach this potential is having the theoretical and empirical foundation from which to do so. Therefore, the first goal of the paper is to review approaches to coordination dynamics, identify current research gaps, and draw insights from other areas, such as social interaction, relationship science, and psychotherapy. The second goal is to collate extant work on feedback and advance ideas for adaptive feedback systems that have potential to influence coordination in a way that can enhance the effectiveness of team interactions. In addressing these two goals, this work lays the foundation as well as plans for the future of human-autonomy teams that augment team interactions using coordination-based measures.

中文翻译：

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在人类自主团队中通过基于实时协调的措施增强团队互动的前景


团队中的复杂工作需要团队成员及其技术之间的协调，以及随时间变化和适应的能力，以实现有效的绩效。为了支持这种复杂的交互，最近的努力致力于设计自适应人类自主团队系统，该系统可以实时或接近实时地提供反馈，以实现所需的个人或团队结果。然而，虽然在更好地建模和理解团队互动的动态及其与任务绩效的关系方面已经取得了重大进展，但团队协调的适当措施和检测协调变化的计算方法尚未得到广泛研究。拥有实时衡量协调的能力是非常有前途的，因为它提供了提供自适应反馈的机会，这些反馈可能会影响和调节团队的协调模式，并最终推动有效的团队绩效。实现这一潜力的关键要求是拥有实现这一目标的理论和经验基础。因此，本文的首要目标是回顾协调动力学的方法，找出当前的研究差距，并从社会互动、关系科学和心理治疗等其他领域汲取见解。第二个目标是整理现有的反馈工作，并提出自适应反馈系统的想法，这些系统有可能以提高团队互动有效性的方式影响协调。在实现这两个目标的过程中，这项工作为人类自主团队的未来奠定了基础并制定了计划，这些团队使用基于协调的措施增强团队互动。