James Simpson
Papers
2
Total Citations
15
H-Index
2
About
James Simpson’s research lies at the intersection of computer-supported collaborative work (CSCW), conversational user interfaces (CUI), and virtual team dynamics, with a focus on how people coordinate through technology. His most-cited work, “Conversation dynamics in a multiplayer video game with knowledge asymmetry” (2022, 10 citations), breaks new ground by analyzing how players in first-person shooter games overcome the challenges of virtually mediated communication to achieve teamwork, revealing the verbal and behavioral strategies that enable remote collaboration despite knowledge imbalances. This study offers foundational insights for designing systems that support distributed teams. Building on this, Simpson’s “DesertWoZ: A Wizard of Oz Environment to Support the Design of Collaborative Conversational Agents” (2022, 5 citations) introduces a novel WoZ platform that empowers researchers to prototype and test conversational agents for team-based training in virtual environments—a nascent but critical area in CSCW and CUI. By providing a flexible tool for simulating agent interactions, this work directly advances the design of AI collaborators for real-world teamwork. Though early in his career, Simpson’s contributions are already shaping how we understand and engineer collaboration in digital spaces, making him a promising voice in the future of human-AI teamwork.
Research Focus
Key Achievements
Top Papers
- 1Conversation dynamics in a multiplayer video game with knowledge asymmetry10 citations · 2022
- 2