Malik Rawashdeh

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About

Malik Rawashdeh is a leading researcher in human-robot interaction and team cognition, with a focus on understanding how trust and performance emerge in mixed human-robot teams. His most cited work, "All Human Versus Human-Robot Teaming: Measuring Neurophysiological Synchrony, Team Performance, and Trust during Search and Rescue" (2023, 7 citations), is a landmark study that uses a multiplayer virtual search-and-rescue environment to compare all-human teams with human-robot teams. By employing a Wizard of Oz approach with a simulated quadruped robot, Rawashdeh demonstrates how neurophysiological synchrony—measured through brain and physiological signals—can serve as a real-time indicator of team trust and coordination. This work is pioneering in its integration of team neuroscience with robotics, offering new tools for designing more effective human-robot collaborations in high-stakes domains like disaster response. His research has significant implications for the future of autonomous systems, showing that trust is not just a psychological construct but a measurable, dynamic property of team interaction. Rawashdeh’s contributions are shaping how we build and evaluate human-robot teams, making him a key voice in the field of collaborative robotics.