Caroline Jay

Papers

Total Citations

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About

Caroline Jay is a leading researcher in human-computer interaction (HCI) and trustworthy AI, with a particular focus on how humans build and maintain trust in autonomous systems. Her work bridges cognitive science and robotics, exploring how Theory of Mind—the ability to attribute mental states to others—can improve human-robot collaboration. In her highly cited 2021 paper, she demonstrated that robots capable of inferring human beliefs foster greater trust in iterative interactions, a finding with 18 citations that has shaped subsequent HRI research. Jay also tackles high-stakes domains, such as nuclear facility safety, where she investigates whether AI systems should explain decisions in human-like terms. Her 2022 interview study, though recently published, addresses the critical need for explainable AI in regulated industries. By combining empirical studies with real-world applications, Jay’s work provides actionable insights for designing AI that is both competent and trustworthy. Her research is essential reading for students and practitioners seeking to understand the psychological foundations of human-AI interaction and the ethical deployment of autonomous systems in sensitive environments.