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171608 https://hdl.handle.net/2286/R.2.N.171608 http://rightsstatements.org/vocab/InC/1.0/ All Rights Reserved 2022 85 pages Doctoral Dissertation Academic theses Text eng Nguyen, Tri Duc Amazeen, Eric Glenberg, Arthur Amazeen, Polemnia G Brewer, Gene Arizona State University Partial requirement for: Ph.D., Arizona State University, 2022 Field of study: Psychology Recent findings in human interactions with complex objects, objects with unpredictable interaction dynamics, revealed predictability as an important factor when determining effective control strategies. The current study extended these findings by examining the role of predictability in the selection of control strategies in two scenarios: during initial interactions with a novel, complex object, and when intentional constraints are imposed. In Experiment 1, methods with which people can identify and improve their control strategy during initial interactions with a complex object were examined. Participants actively restricted their movements at first to simplify the object’s complex behavior, then gradually adjusted movements to improve the system’s predictability. In Experiment 2, predictability of participants’ control strategies was monitored when the intention to act was changed to prioritize speed over stability. Even when incentivized to seek alternative strategies, people still prioritized predictability, and would compensate for the loss of predictability. These experiments furthered understanding of the motor control processes as a whole and may reveal important implications when generalized to other domains that also interact with complex systems. Cognitive Psychology Complex Systems Computational Modeling dynamical systems theory Motor Control Predictability as Principle of Control in Interaction with Complex Objects