Mark Miller

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About

Mark Miller is a cognitive scientist and philosopher whose research sits at the intersection of predictive processing, active inference, and human-machine interaction. His work explores how the mind constructs models of the world to guide behavior, with a particular focus on how these computational frameworks illuminate trust dynamics in human-robot collaboration. His most notable contribution, "Trust as Extended Control: Human-Machine Interactions as Active Inference" (2021, 46 citations), reframes trust not as a purely social or psychological phenomenon but as a functional requirement for seamless collaboration — arguing that users must confidently infer the causes of robotic behavior for effective interaction to occur. By applying the active inference framework to human-robot contexts, Miller bridges theoretical cognitive science with pressing practical questions in robotics and AI design. His work offers researchers and engineers a principled account of why trust breaks down and how it might be cultivated through better system transparency and predictability. Miller's contributions are particularly valuable for students working at the frontier of embodied cognition, extended mind theory, and the growing field of socially intelligent robotics.