Shane T. Mueller
Assistant Professor of Psychology, Cognitive and Learning Sciences
- PhD, Cognitive Psychology, University of Michigan, 2002
Shane T. Mueller, Ph. D. is an Assistant Professor in the Applied Cognitive Science and Human Factors program in the Cognitive and Learning Science Department. Dr. Mueller has undergraduate degrees in mathematics and psychology from Drew University, and received his Ph. D. in cognitive psychology from the University of Michigan in 2002. He was a Senior Scientist at Klein Associates Division of Applied Research Associates from 2006 to 2011. His research has been supported by NIH, DARPA, IARPA, the Air Force Research Laboratory, the Army Research Institute, the Defense Threat Reduction Agency, and others.
Dr. Mueller's research focuses on human memory and the representational, perceptual, strategic, and decisional factors that support it. He employs applied and basic research methodologies, typically with a goal of implementing formal quantitative mathematical or computational models of cognition and behavior. He is also the primary developer of the Psychology Experiment Building Language (PEBL), a software platform for creating psychology experiments.
Links of Interest
- Computational Modeling
- Recognitional Decision Making
- Perceptual and Memory Processes
- Representations of Cultural Knowledge
- Mueller, S. T. & Klein, G. K. (2011). Improving Users' Mental Models of Intelligent Software Tools with an "Experiential User Guide". IEEE Intelligent Systems.
- Piper, B. Victoria, L., Massar, E., Kobel, Y., Benice, T., Chu, A., Olsen, R., Rice, D., Gray, H., & Mueller, S. T. (2011). Executive Function on the Psychology Experiment Building Language Tests. Behavior Research Methods, 43,1-14. http://dx.doi.org/10.3758/s13428-011-0096-6. Read More
- Mueller, S. T. (2011) Adapting the Task-Taxon-Task methodology to model the impacts of chemical protective gear. To appear in the Journal of Computational and Mathematical Organizational Theory.
- Mueller, S. T. (2010). A partial implementation of the BICA Cognitive Decathlon using the Psychology Experiment Building Language (PEBL). International Journal of Machine Consciousness, 2, 273–288.