Justin Chung

Papers

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About

Justin Chung’s research sits at the intersection of human-robot interaction and social robotics, with a focus on how people perceive and collaborate with autonomous machines. His most cited work, “Colleague vs. tool: Effects of disclosure in human-robot collaboration” (2008, 29 citations), is a landmark study that experimentally examined how a robot’s disclosure of task-related versus affective information shapes human feelings during collaborative tasks. By demonstrating that affective disclosure can foster more positive human-robot relationships, Chung provided early empirical evidence for designing robots not merely as tools but as social colleagues. This contribution has influenced subsequent work on trust, transparency, and emotional engagement in human-robot teams. Chung’s research remains foundational for scholars exploring the psychological dimensions of human-robot collaboration, and his findings continue to inform the design of more intuitive and socially aware robotic systems. His work underscores the importance of communication style in shaping user experience and acceptance of autonomous agents.