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About

Nicholas Chang is a pioneering researcher in human-robot teaming, focusing on the critical social dynamics that determine whether mixed human-robot groups succeed or fail. His work centers on two key research areas: strategies for integrating robots into human teams and the subtle influence of robot behavior on group interactions. Chang’s most impactful contribution, his 2020 paper “Strategies for the Inclusion of Human Members within Human-Robot Teams” (41 citations), introduces two novel approaches to prevent human team members from feeling marginalized: assigning a specialized “robot liaison” role and programming robots to offer verbal support. His follow-up study (25 citations) reveals a fascinating paradox—while robot verbal encouragement can draw out contributions from quieter members, it may inadvertently suppress supportive behaviors among human teammates, reshaping group dynamics in unexpected ways. Earlier in his career, Chang explored multimodal human-robot interaction in ubiquitous computing environments and even contributed to space robotics forecasting. His research provides essential insights for designing collaborative AI that enhances, rather than disrupts, human teamwork.