Shane Mueller

Shane Mueller is Professor of Psychology in the Department of Psychology and Human Factors at Michigan Technological University. His research focuses on human memory, cognitive modeling, and human factors, with applications to artificial intelligence explainability and human-AI interaction.

Mueller investigates the representational, perceptual, and decisional factors underlying human cognition, developing computational models of cognitive processes. His applied work examines explainable AI systems, sensemaking processes, and human interaction with autonomous technologies.

His publications demonstrate a strong focus on developing frameworks for evaluating explainable AI systems, including metrics for explanation quality, user trust, and mental model formation. Recent research examines user interactions with autonomous vehicles, cognitive models of sensemaking, and methods for improving AI transparency and value for users.