Abstract
Current article highlights the results of the research of specific mechanisms of insight problem solving. It is based on the analysis of eye movement record data made by eye-tracker. The recorded data included average pupil diameter [mm] and fixation duration [ms]; the distribution of averaged eye movement values within the areas of interest during the manipulations with problem space was analyzed. The eye movement data was compared to the cognitive monitoring method data. The specificity of insight problems in comparison with non-insight (algorithmized) problems was validated. Several qualitative features of insight problem solving and the organization of problem space were revealed. Additionally, the priority of visual processing during insight problem solving was discovered: fixation duration increased in the “main problem” AOI.
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