Maintaining "Balanced" Conflict: Proactive Intervention Strategies of AI Voice Agents in Online Collaboration of Temporary Design Teams
Xinhui Chen, Xiang Yuan, Hui Zhang, Ruixiao Zheng, Wanyi Wei
Abstract
Temporary teams are important in modern work but often struggle with interpersonal factors that hinder consensus-driven tasks, especially in design teams where effective discussion and execution are critical. Integrating AI into these teams provides a promising solution. While some studies have explored AI’s role in enhancing teamwork, they often ignore the bidirectional impact of team dynamics: teams need to maintain a moderate level of disagreement, which must be effectively managed. To explore the mechanisms regulating conflict escalation and de-escalation in online collaboration of temporary design teams, we conducted exploratory research and an expert workshop (N=6) to propose proactive intervention strategies for AI voice agents. A controlled experiment (N=36) showed that teams with AI voice agent intervention performed better in improving interpersonal relationships, communication-related collaboration quality, and collaboration experience. This work suggests that AI voice agents can support team conflict dynamics by fostering constructive discussions and managing disagreements arising positively.
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