Eugene Santos

Papers

Total Citations

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About

Eugene Santos is a leading researcher whose work bridges artificial intelligence, computational modeling of human behavior, and trust in autonomous systems. His most cited paper, "Trust in artificial intelligence: Literature review and main path analysis" (2024, 42 citations), systematically maps the evolving landscape of AI acceptance, addressing critical barriers in fields like medical diagnosis, autonomous driving, and robotics. This work has become a foundational reference for understanding why humans distrust AI and how to improve system adoption. Santos has also made pioneering contributions to computational deception and noncooperation, notably through his 2012 survey on modeling deceptive behavior in intelligent agents, robots, and serious game environments for training and simulation. His research on speech and text analysis for deception detection, combined with physiological sensors and intelligent software, has direct applications in safety, security, and warfare. By turning the challenge of deception into a computational virtue, Santos has shaped how we design more robust, realistic, and trustworthy AI systems. His work continues to influence researchers and practitioners working at the intersection of AI ethics, human-robot interaction, and intelligent decision-making.