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ORIGINAL RESEARCH article

Front. Robot. AI
Sec. Computational Intelligence in Robotics
Volume 12 - 2025 | doi: 10.3389/frobt.2025.1487883
This article is part of the Research Topic Theory of Mind in Robots and Intelligent Systems View all 3 articles

Artificial Social Intelligence in Teamwork: How Team Traits Influence Human-AI Dynamics in Complex Tasks

Provisionally accepted
Rhyse Conner Bendell Rhyse Conner Bendell *Jessica Williams Jessica Williams Stephen Martin Fiore Stephen Martin Fiore Florian Georg Jentsch Florian Georg Jentsch
  • University of Central Florida, Orlando, United States

The final, formatted version of the article will be published soon.

    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 team satisfaction. 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

    Keywords: Human-agent teams, Artificial social intelligence, Theory of Mind, Team cognition, team process, team performance

    Received: 28 Aug 2024; Accepted: 08 Jan 2025.

    Copyright: © 2025 Bendell, Williams, Fiore and Jentsch. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Rhyse Conner Bendell, University of Central Florida, Orlando, United States

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.