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Artificial social intelligence in teamwork: how team traits influence human-AI dynamics in complex tasks
Rhyse Bendell1, Jessica Williams1, Stephen M Fiore1,2
1Cognitive Sciences Laboratory, Institute for Simulation and Training, University of Central Florida, Orlando, FL, United States.
Frontiers in Robotics and AI
|March 4, 2025
Summary
Artificial Social Intelligence (ASI) can improve human teamwork in complex tasks. Team potential positively influences perceptions of ASI, but team performance is key to how humans view their collaborators.
Area of Science:
- Artificial Intelligence
- Human-Computer Interaction
- Organizational Psychology
Background:
- Integrating Artificial Social Intelligence (ASI) into human teams is crucial for enhancing collaborative work.
- Understanding how ASI influences team dynamics and performance in complex tasks is an emerging research area.
- Artificial Theory of Mind (AToM) is a key capability being developed for ASI advisors.
Purpose of the Study:
- To investigate the integration of ASI advisors into human teams performing interdependent tasks.
- To examine how team potential (taskwork and teamwork) influences perceptions of team processes and ASI advisors.
- To determine the mediating role of team performance on these perceptions.
Main Methods:
- Three-person human teams collaborated with ASI advisors exhibiting Artificial Theory of Mind (AToM).
- A profiling model categorized teams based on taskwork and teamwork potential.
- Perceptions of team processes and ASI advisors were collected and analyzed.
Main Results:
- Teams with higher taskwork or teamwork potential reported more positive perceptions of team processes.
- Team performance significantly mediated subjective perceptions of team processes.
- Perceptions of ASI advisors were positively correlated with team potential, independent of performance.
Conclusions:
- Team potential is a significant factor in how human teams perceive their collaborative environment and ASI.
- Objective team performance strongly influences subjective impressions of team processes.
- ASI systems must be adaptable to individual team traits to be perceived as effective collaborators.
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