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Motion Capture of Phase Change Transitions During Insight Problem Solving
Abstract
Insight problem solving refers to the phenomenon of experiencing a sudden flash of insight when discovering novelproblem solving strategies. This sudden transition in thinking suggests a phase change in human cognition as an emergentproperty of the self-organizing complex system of coupled neural activations. In our study, we developed a method of measuringthis phase change within an embodied cognition paradigm. We used 3D motion capture to measure the precise body movementsof 21 participants at 120 Hz resolution while they solved 3 different types of insight problems. We analyzed a sliding time seriesof postural sway and head displacement using recurrence quantification and spectral analyses to determine changes in entropyin the participants’ movements. These measures allow us to make inferences about changes in level of self-organization as theparticipant’s neural activation transitions from one state to another.
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