Artificial social intelligence in teamwork: how team traits influence human-AI dynamics in complex tasks

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 inter...

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Main Authors: Rhyse Bendell, Jessica Williams, Stephen M. Fiore, Florian Jentsch
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-02-01
Series:Frontiers in Robotics and AI
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/frobt.2025.1487883/full
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author Rhyse Bendell
Jessica Williams
Stephen M. Fiore
Stephen M. Fiore
Florian Jentsch
Florian Jentsch
author_facet Rhyse Bendell
Jessica Williams
Stephen M. Fiore
Stephen M. Fiore
Florian Jentsch
Florian Jentsch
author_sort Rhyse Bendell
collection DOAJ
description 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.
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publishDate 2025-02-01
publisher Frontiers Media S.A.
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series Frontiers in Robotics and AI
spelling doaj-art-837c8d98f4264fc8b6e879880dca06992025-08-20T02:48:30ZengFrontiers Media S.A.Frontiers in Robotics and AI2296-91442025-02-011210.3389/frobt.2025.14878831487883Artificial social intelligence in teamwork: how team traits influence human-AI dynamics in complex tasksRhyse Bendell0Jessica Williams1Stephen M. Fiore2Stephen M. Fiore3Florian Jentsch4Florian Jentsch5Cognitive Sciences Laboratory, Institute for Simulation and Training, University of Central Florida, Orlando, FL, United StatesCognitive Sciences Laboratory, Institute for Simulation and Training, University of Central Florida, Orlando, FL, United StatesCognitive Sciences Laboratory, Institute for Simulation and Training, University of Central Florida, Orlando, FL, United StatesDepartment of Philosophy, University of Central Florida, Orlando, FL, United StatesTeam Performance Laboratory, Institute for Simulation and Training, University of Central Florida, Orlando, FL, United StatesDepartment of Psychology, University of Central Florida, Orlando, FL, United StatesThis 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.https://www.frontiersin.org/articles/10.3389/frobt.2025.1487883/fullhuman-agent teamsartificial social intelligencetheory of mindteam cognitionteam processteam performance
spellingShingle Rhyse Bendell
Jessica Williams
Stephen M. Fiore
Stephen M. Fiore
Florian Jentsch
Florian Jentsch
Artificial social intelligence in teamwork: how team traits influence human-AI dynamics in complex tasks
Frontiers in Robotics and AI
human-agent teams
artificial social intelligence
theory of mind
team cognition
team process
team performance
title Artificial social intelligence in teamwork: how team traits influence human-AI dynamics in complex tasks
title_full Artificial social intelligence in teamwork: how team traits influence human-AI dynamics in complex tasks
title_fullStr Artificial social intelligence in teamwork: how team traits influence human-AI dynamics in complex tasks
title_full_unstemmed Artificial social intelligence in teamwork: how team traits influence human-AI dynamics in complex tasks
title_short Artificial social intelligence in teamwork: how team traits influence human-AI dynamics in complex tasks
title_sort artificial social intelligence in teamwork how team traits influence human ai dynamics in complex tasks
topic human-agent teams
artificial social intelligence
theory of mind
team cognition
team process
team performance
url https://www.frontiersin.org/articles/10.3389/frobt.2025.1487883/full
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