Human Trust

Human trust, particularly in the context of human-AI interaction, is a multifaceted research area focusing on understanding how trust develops, is maintained, and can be influenced. Current research emphasizes both cognitive and emotional aspects of trust, employing models like Bayesian relational event modeling and inverse reinforcement learning to analyze and predict trust dynamics in various scenarios, including human-robot collaboration and AI-assisted decision-making. These investigations are crucial for developing trustworthy AI systems and improving human-AI collaboration across diverse applications, from cyber defense to shared autonomy in robotics.