Christopher Best

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About

Christopher Best investigates the intersection of computer-supported collaborative work (CSCW) and conversational user interfaces (CUI), with a focus on how teams coordinate in virtual environments. His research explores the dynamics of remote collaboration, particularly in high-stakes, knowledge-asymmetric settings such as multiplayer video games. Best’s most cited work, “Conversation dynamics in a multiplayer video game with knowledge asymmetry” (2022, 10 citations), examines how players in first-person shooter games overcome the challenges of virtually mediated communication to achieve effective teamwork, revealing key patterns in verbal and behavioral coordination. He also developed “DesertWoZ: A Wizard of Oz Environment to Support the Design of Collaborative Conversational Agents” (2022, 5 citations), a pioneering system that enables researchers to prototype and test conversational agents for team-based training in virtual environments. This tool addresses a critical gap in CSCW and CUI research, offering a flexible platform for studying human-agent collaboration. Best’s work is notable for bridging game studies and agent design, providing foundational insights for building more effective collaborative technologies in both gaming and professional training contexts.