Bendell Rhyse, Williams Jessica, Fiore Stephen M, Jentsch Florian
Cognitive Sciences Laboratory, Institute for Simulation and Training, University of Central Florida, Orlando, FL, United States.
Department of Philosophy, University of Central Florida, Orlando, FL, United States.
Front Robot AI. 2025 Feb 17;12:1487883. doi: 10.3389/frobt.2025.1487883. eCollection 2025.
This study examines the integration of Artificial Social Intelligence (ASI) into human teams, focusing on how ASI can enhance teamwork processes in complex tasks. Teams of three participants collaborated with ASI advisors designed to exhibit Artificial Theory of Mind (AToM) while engaged in an interdependent task. A profiling model was used to categorize teams based on their taskwork and teamwork potential and study how these influenced perceptions of team processes and ASI advisors. Results indicated that teams with higher taskwork or teamwork potential had more positive perceptions of their team processes, with those high in both dimensions showing the most favorable views. However, team performance significantly mediated these perceptions, suggesting that objective outcomes strongly influence subjective impressions of teammates. Notably, perceptions of the ASI advisors were not significantly affected by team performance but were positively correlated with higher taskwork and teamwork potential. The study highlights the need for ASI systems to be adaptable and responsive to the specific traits of human teams to be perceived as effective teammates.
本研究考察了人工社会智能（ASI）融入人类团队的情况，重点关注ASI如何在复杂任务中增强团队协作过程。由三名参与者组成的团队与旨在展现人工心智理论（AToM）的ASI顾问合作，共同参与一项相互依存的任务。一个剖析模型被用于根据团队的任务工作和团队协作潜力对团队进行分类，并研究这些因素如何影响对团队过程和ASI顾问的认知。结果表明，具有较高任务工作或团队协作潜力的团队对其团队过程有更积极的认知，在两个维度上都较高的团队表现出最有利的看法。然而，团队绩效显著调节了这些认知，这表明客观结果强烈影响对队友的主观印象。值得注意的是，对ASI顾问的认知并未受到团队绩效的显著影响，但与较高的任务工作和团队协作潜力呈正相关。该研究强调，ASI系统需要具备适应性，并能对人类团队的特定特征做出响应，才能被视为有效的队友。
