Kevin Moberly
Papers
1
Total Citations
2
H-Index
1
About
Kevin Moberly is a researcher focused on the intersection of trust, autonomy, and modeling and simulation. His work addresses a critical challenge in modern technology: how to build and maintain trust in autonomous systems, from self-driving vehicles to AI-driven decision-making tools. In his most-cited paper, "Building Trust in Autonomous Systems: Opportunities for Modelling and Simulation" (2022), Moberly explores how simulation environments can serve as testbeds for understanding and calibrating human trust in machines, offering frameworks for designing more transparent and reliable autonomous agents. While his citation count is still growing—reflecting the emerging nature of this field—his contributions are timely and foundational, positioning him as a voice in the ongoing conversation about ethical AI and human-machine interaction. Moberly’s work is particularly valuable for students and researchers grappling with the socio-technical dimensions of autonomy, providing both theoretical insights and practical pathways for integrating trust-building mechanisms into system design.
Research Focus
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Top Papers
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