A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä
Unlocking the Puzzle: Investigating Problem-Solving Patterns in 2D and 3D Virtual Reality Environments Through Mixed Methods Analysis
Tekijät: Tacgin, Zeynep
Kustantaja: TAYLOR & FRANCIS INC
Kustannuspaikka: PHILADELPHIA
Julkaisuvuosi: 2024
Journal: International Journal of Human-Computer Interaction
Tietokannassa oleva lehden nimi: INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION
Lehden akronyymi: INT J HUM-COMPUT INT
Sivujen määrä: 15
ISSN: 1044-7318
eISSN: 1532-7590
DOI: https://doi.org/10.1080/10447318.2024.2369368
Verkko-osoite: https://doi.org/10.1080/10447318.2024.2369368
Tiivistelmä
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.
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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