Abstract
This research investigates the intricate relationship between problem-solving patterns and various factors, including demographics, cognitive style, learning styles, puzzle completion, and emotional and behavioral responses in the context of 2D and 3D virtual reality (VR) puzzle-solving tasks. The study employed an explanatory sequential mixed methods design, where data were collected from 52 participants who voluntarily engaged in puzzle-solving activities in a VR environment. The first phase involved collecting quantitative data to determine the cognitive and learning styles of the participants. The second phase involved gathering qualitative data, including observations, audio, video, and screen recordings during puzzle-solving tasks. Findings revealed profound associations between problem-solving patterns and gender, education level, dominant hand, and previous VR experience. Notably, females tended to analyze puzzle pieces more thoroughly, and participants with higher education levels exhibited more remarkable analytical tendencies. The cognitive style also influenced problem-solving patterns for using two hands with a controller. Puzzle completion times were correlated with systematic/random arrangement, starting with big puzzle pieces and 3D localization skills. Emotional and behavioral responses were linked to problem-solving patterns, with systematic placement associated with lower negative emotions and higher joy, while random arrangement led to more negative emotions.
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More From: International Journal of Human–Computer Interaction
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