Human-AI Teaming
Communication, trust, and coordination in teams that include AI teammates and decision-support systems.
Academic Profile
Wen Duan
Research Assistant Professor in the School of Computing at Clemson University
I received my PhD in Communication from Cornell University in 2022. I am a Research Assistant Professor in the School of Computing at Clemson University, where I conduct research in human-computer interaction and computer-supported cooperative work. My research focuses on human-AI teaming, AI-supported gender equity, and language technology for global teams.
About
I am a Research Assistant Professor in the School of Computing at Clemson University. My work sits at the intersection of HCI and CSCW, with a focus on how people collaborate with AI systems in teams and organizational settings. Across this work, I study communication, trust, equity, and technology design to support more effective, inclusive, and context-sensitive collaboration.
Research
My research examines how communication, coordination, trust, and technology design shape collaborative work, especially in human-AI teams and multilingual settings.
Trust and Team Dynamics
How trust and distrust emerge, evolve, and spread within and across human-AI teams.
AI-Supported Gender Equity
How AI systems can mitigate bias and support participation, authority, and equity in team settings.
Language Technology for Global Teams
Tools and design strategies that support multilingual and multicultural collaboration.
HCI and CSCW
Human-centered design perspectives on collaborative technologies and work practices.
Multilingual Collaboration
Designing technologies that reduce language barriers and improve participation across global teams.
Selected Publications
Selected publications spanning human-AI teaming, trust, gender and AI, and multilingual collaboration.
Bridging Minds and Machines: Mapping the Terrain of Communication in Human-AI Teams — A Systematic Literature Review
Proceedings of the ACM on Human-Computer Interaction (CSCW), 2026
Beyond a Neutral Tool or Teammate: Envisioning AI Interventions for Women’s Equity in Male-Dominated Teams
CHI Conference on Human Factors in Computing Systems, 2026
Trusting Autonomous Teammates in Human-AI Teams - A Literature Review
CHI Conference on Human Factors in Computing Systems, 2025
A Scoping Review of Gender Stereotypes in Artificial Intelligence
CHI Conference on Human Factors in Computing Systems, 2025
Mitigating Gender Stereotypes toward AI Agents through an eXplainable AI Approach
Proceedings of the ACM on Human-Computer Interaction (CSCW), 2024
Projects
Current themes across my research program.
Human-AI Teaming
I study communication, trust, coordination, and social dynamics in human-AI teams, including how trust spreads within and across teams and how AI teammates are designed to support collaboration.
AI, Gender, and Equity
My work examines gender stereotypes toward AI and explores how AI systems can be designed to support equity, authority, and participation in male-dominated team settings.
Language Technology for Global Teams
I investigate how language technologies can help multilingual and multicultural teams communicate more effectively across linguistic and cultural boundaries.