Glenn J. Lematta

Papers

Total Citations

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About

Glenn J. Lematta is a human factors researcher whose work lies at the critical intersection of cognitive engineering and human-autonomy teaming. His research focuses on designing effective communication and interdependence structures for human-robot teams, particularly in high-stakes environments like urban search and rescue. Lematta’s most cited work (35 citations) examines the tradeoffs of explanation-based communication strategies in virtual search and rescue tasks, revealing how robot transparency impacts team performance. His foundational 2019 paper (19 citations) established a framework for developing human-robot team interdependence in synthetic task environments, arguing that as robots gain cognitive capabilities, human factors engineering must guide autonomy design for effective collaboration. During the COVID-19 pandemic, Lematta pioneered remote research methods for Human-AI-Robot Teaming (16 citations), identifying key methodological adaptations and challenges for conducting team research at a distance. His contributions are particularly notable for bridging theoretical frameworks of team cognition with practical experimental paradigms, advancing our understanding of how humans and autonomous systems can work together effectively in complex, dynamic environments.