The critique paper provides an in-depth analysis of two influential studies in the field of Human-Autonomous Teams (HATs). Musick et al. explored qualitative dimensions of HAT dynamics, examining the influence of team composition on emotions, cognitive processes, and the development of team cognition. Their research revealed that teams with a majority of human members, known as Multi-Human HATs, generally surpass Multi-Agent HATs in performance, highlighting the critical influence of human perception on team dynamics. Employing qualitative interview analysis anchored in theoretical frameworks, Musick et al. captured the detailed subtleties of participants' experiences. In contrast, Schelble et al. utilized a quantitative methodology to provide data-driven insights into how the perception of AI teammates affects team performance. Despite the rich insights from Musick et al.'s qualitative research, their findings face limitations in terms of broader applicability. Both Musick et al. and Schelble et al. agree in their conclusions that Multi-Human HATs typically outperform their Multi-Agent counterparts, again emphasizing the crucial role of human perception in team dynamics. The critique paper suggests that future research should focus on understanding perceptions of teams heavily reliant on AI. Such investigations could illuminate how trust and skepticism are shaped in teams where AI plays a dominant role.

翻译：本述评论文深入分析了人机自主团队（HATs）领域两项具有影响力的研究。Musick等人探讨了HAT动态的定性维度，考察了团队构成对情感、认知过程及团队认知发展的影响。他们的研究显示，以人类成员为主的团队（即多人HAT）在绩效上通常优于多智能体HAT，凸显了人类感知对团队动态的关键影响。通过基于理论框架的定性访谈分析，Musick等人捕捉到了参与者体验中的细微差异。相比之下，Schelble等人采用定量方法，从数据驱动角度揭示了AI队友感知如何影响团队绩效。尽管Musick等人的定性研究提供了丰富见解，但其发现在更广泛适用性方面存在局限。Musick等人与Schelble等人的结论一致认为，多人HAT通常优于多智能体HAT，再次强调了人类感知在团队动态中的关键作用。本述评论文建议未来研究应聚焦于理解高度依赖AI的团队中的感知问题。此类研究或可阐明，在AI占主导地位的团队中，信任与怀疑是如何形成的。