Automated Feedback: Research Area — Prolific Citations Library

Discover 1 peer-reviewed study in Automated Feedback (2025). Explore research findings powered by Prolific's diverse participant panel.

This page lists 1 peer-reviewed paper in the research area of Automated Feedback in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.

Papers (1 of 1)

tAlfa: Enhancing Team Effectiveness and Cohesion with AI-Generated Automated Feedback

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, LLMs

Discipline: Human-Computer Interaction (HCI)

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