معرفی
Paul Maglio is a Professor in the Department of Management of Complex Systems at the University of California Merced's School of of Engineering, where he maintains an active research and teaching role with direct contact via pmaglio@ucmerced.edu. His institutional affiliation reflects deep integration within engineering-focused complex systems research.
His primary research domains center on Service Science, Human-Computer Interaction, and Robotics, with specific expertise in trust dynamics in anthropomorphic robots, AI-driven service system architecture, and data-enabled value creation. Work consistently bridges theoretical frameworks like service ecosystems with practical applications in smart service systems, emphasizing how physical interaction and epistemic actions enhance human performance in complex tasks.
Analysis of 15 recent publications (2019-2025) reveals three dominant trajectories: (1) foundational contributions to Service Science through conference minitrack leadership, (2) experimental investigations into anthropomorphism's impact on robot trust, and (3) methodological innovations in text mining for smart service analytics. The 2025 household robot study exemplifies his trend of combining cognitive psychology with service design.
No scientific awards were documented in the source materials.
Student advising and research grant activities remain unreported in available documentation, though his publication record suggests active mentorship through co-authored works. The absence of explicit grant mentions contrasts with his focus on applied service innovation.
Research infrastructure details including laboratories or dedicated teams were not specified in the provided academic profile.
