This work explores the impact emotional entanglement between team members has on productivity on teams. Building on empirical findings, a novel, quantitative approach to analyzing team dynamics using artificial intelligence is introduced. The primary contribu- tions include the development of Moody, an easy-to-use system designed to analyze team emotions during video calls and give actionable insights, as well as a comprehensive AI analysis pipeline encompassing face detection, emotional analysis, speaker diarization, and interruption dynamics. The proposed approach marks a significant departure from traditional, empirical methods, providing a robust framework for quantifiable assessments of the impact of emotions on team performance and productivity. The practical implications of this work are substantial, offering organizations easily employable tools to foster better emotional state of its members, enhance communication efficiency, and ultimately improve team effectiveness.     «

This work explores the impact emotional entanglement between team members has on productivity on teams. Building on empirical findings, a novel, quantitative approach to analyzing team dynamics using artificial intelligence is introduced. The primary contribu- tions include the development of Moody, an easy-to-use system designed to analyze team emotions during video calls and give actionable insights, as well as a comprehensive AI analysis pipeline encompassing face detection, emotional analysi...     »