
Jason Harman
Associate Professor · Dynamic Decision Making
Michigan Technological UniversityAbout
Jason Harman is an Associate Professor in Psychology and Human Factors at Michigan Technological University. His research integrates human experiments with computational models to explore judgment and decision-making in domains such as gamification, AI ethics, healthcare, and driving. He holds a PhD in Experimental Psychology from Ohio University (2012).
Key research interests include Dynamic Decision Making, Cognitive Process Models, and Applied Decision Science. His work emphasizes practical applications in AI explainability, model selection, and ethical considerations of technology.
Recent publications focus on driver behavior modeling, machine learning limitations, and gamified personality assessment. Notably, his 2023 Alan Berman Award-winning research at the Naval Research Laboratory highlighted exceptional contributions in applied decision science.
No advising students are listed, though his work involves collaborative projects in interdisciplinary teams. His lab explores human-AI interaction, decision dynamics in complex environments, and cognitive models for real-world systems.
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