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T.J. (Travis) Wiltshire

Assistant Professor 

Tilburg School of Humanities and Digital Sciences
Department Cognitive Science and Artificial Intelligence

Recent Publications

Wiltshire, T. J., Steffensen, S. V., Fiore, S. M. (In press). Multiscale movement coordination dynamics in collaborative team problem solving. Applied Ergonomics. doi:10.1016/j.apergo.2018.07.007

Wiltshire, T. J., Butner, J. E., & Fiore, S. M. (2018). Problem-solving phase transitions during team collaboration. Cognitive Science, 42, 129-167. doi: 10.1111/cogs.12482

Butner, J. E., Wiltshire, T. J., & Munion, A. K. (2017). Modeling multi-agent self-organization through the lens of higher order attractor dynamics. Frontiers in Psychology: Cognitive Science. 8:380. doi: 10.3389/fpsyg.2017.00380

Wiltshire, T. J., Butner, J. E., & Pirtle, Z. (2017). Modeling change in project duration and completion: Scheduling dynamics of NASA?s Exploration Flight Test 1 activities. Nonlinear Dynamics, Psychology, and Life Sciences 21(3), 335-358.

Wiltshire, T. J., Warta, S., Barber, D., & Fiore, S. M. (2017). Enabling robotic social intelligence by engineering human social-cognitive mechanisms.Cognitive Systems Research, 43, 190-207.

Wiltshire, T. J., Euler, M. J., McKinney, T. L., & Butner, J. E. (2017). Changes in dimensionality and fractal scaling as evidence for soft-assembled dynamics in human EEG. Frontiers in Physiology: Fractal Physiology, 8:633, 1-17. doi:10.3389/fphys.2017.00633


Dr. Travis J. Wiltshire is an Assistant Professor in the Department of Cognitive Science and Artificial Intelligence, Tilburg University. He is an interdisciplinary applied cognitive scientist focusing on understanding high-level cognitive processes (e.g., collaborative problem solving, social cognition) during human interaction with social and technological environments. He primarily studies these phenomena from a Dynamical Systems Theory approach; an interdisciplinary approach to characterize how interacting components of a system change and coordinate over time. Using a multi-method and multi-modal research approach, he examines multiple scales of analysis (e.g., behavior, cognition, and physiology) to explain the coordination of a system?s components as they span the boundaries of individuals and technologies in support of collaborative interaction.


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Last amended: 15 January 2019