Yuyuan
Cao

SURF Using Engagement and Progress Metrics to Predict Team Performance through Communication Analysis Social Sciences / Humanities / Education

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Yuyuan Cao

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Team communication is essential for achieving optimal performance. Effective communication enables teams to succeed effortlessly and promptly. To achieve effective communication, it is crucial to first understand the contributing factors. Previous research has quantified communication by categorizing speech actions and calculating their frequency and percentage to determine which categories lead to effective or ineffective outcomes. While effective, this method does not differentiate between active and passive engagement. To address this gap, we developed a new metric, the engagement ratio, to explore its potential influence on team performance. Additionally, we noted that the effectiveness of certain communication categories varies by context. Consequently, we introduced the team progress metric to assess whether each sentence is timely and informative. We tested these metrics using the game "Keep Talking and Nobody Explodes," designed to build a shared vision between an expert and a defuser. A total of 48 participants took part in the study, with each team defusing a bomb within 5 minutes over two rounds per participant. We collected, transcribed, and coded communication data during gameplay, ensuring interrater reliability. Our findings reveal that the engagement ratio is higher for poor-performing experts than for high-performing ones, indicating that members of high- performance teams are more actively engaged. Moreover, high-performance teams exhibit significantly more forward communication and less sideways and backward communication, suggesting that they focus more on task-related discussions and make fewer mistakes. These insights underscore the importance of active engagement and context-appropriate communication for team success, highlighting the practical implications for improving team performance. Keywords: Team Communication; Team Performance; Engagment Ratio; Communication Entropy

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Purdue University / 2024

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Yuyuan Cao

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