Authors: Mohammed Almutairi, Charles Chiang, Yuxin Bai, Diego Gomez-Zara
Year: 2025
Published in: ArXiv
Institution: University of Notre Dame
Research Area: Human-AI Interaction, Team Effectiveness, Automated Feedback, Large Language Models
Discipline: Human-Computer Interaction
tAIfa, an AI tool using LLMs, enhances team communication and cohesion through automated feedback based on interaction analysis.
Methods: Between-subjects study where team interactions were analyzed by an AI agent (tAIfa) to deliver feedback on strengths and areas for improvement.
Key Findings: Team communication, contributions, and cohesion with and without tAIfa's feedback.
Sample Size: 18
