Unlocking the Puzzle: Investigating Problem-Solving Patterns in 2D and 3D Virtual Reality Environments Through Mixed Methods Analysis DOI
Zeynep Taçgın

International Journal of Human-Computer Interaction, Год журнала: 2024, Номер unknown, С. 1 - 15

Опубликована: Июнь 27, 2024

This research investigates the intricate relationship between problem-solving patterns and various factors, including demographics, cognitive style, learning styles, puzzle completion, emotional behavioral responses in context of 2D 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 activities a VR environment. first phase involved collecting quantitative to determine styles participants. second gathering qualitative data, observations, audio, video, screen recordings during Findings revealed profound associations gender, education level, dominant hand, previous experience. Notably, females tended analyze pieces more thoroughly, with higher levels exhibited remarkable analytical tendencies. style also influenced for using two hands controller. Puzzle completion times correlated systematic/random arrangement, starting big localization skills. Emotional linked patterns, systematic placement associated lower negative emotions joy, while random arrangement led emotions.

Язык: Английский

Virtual Reality-360° vs. Screen-360° Medium and Ecological vs. Recreational Story Type Impact on Sustainable Travel Intention DOI

Manju Meenakshy,

Vartika Chaudhary, Amit Kumar

и другие.

International Journal of Human-Computer Interaction, Год журнала: 2025, Номер unknown, С. 1 - 15

Опубликована: Фев. 12, 2025

Язык: Английский

Процитировано

0

Adaptive exit choices of pedestrians during emergency evacuation: A study combining virtual experiments, survey and modelling DOI
Zhi Chao Zhang, Wenke Zhang,

Tingting Nong

и другие.

Advanced Engineering Informatics, Год журнала: 2025, Номер 65, С. 103302 - 103302

Опубликована: Апрель 6, 2025

Язык: Английский

Процитировано

0

The Effect of Electroencephalogram Feedback in Virtual Reality Interactive System on Creativity Performance, Attention Value, and Cognitive Load DOI
Ling Wu, Kien Tsong Chau, Wan Ahmad Jaafar Wan Yahaya

и другие.

International Journal of Human-Computer Interaction, Год журнала: 2024, Номер unknown, С. 1 - 18

Опубликована: Июль 8, 2024

This study aimed to systematically investigate the impacts of virtual reality (VR) technology integrated with electroencephalogram (EEG) vibrotactile feedback on undergraduate students' creativity performance, attention value, and cognitive load. 4P's model was adopted as macro strategy, load theory constructivist serving a micro strategy. A 2 × quasi-experimental factor design utilized. total 149 students varying spatial abilities were randomly assigned an experimental group (using VR interactive system EEG feedback) control (without feedback). Covariance analysis (ANCOVA) variance (ANOVA) employed identify significant differences among systems examine interaction effects variables. The quantitative results provided empirical evidence that exhibited significantly higher levels performance value than group. Furthermore, ability demonstrated lower load, superior compared those ability. also revealed positively learning in university education holds promising potential for improving traditional training systems. These findings contribute valuable insights future research application creativity.

Язык: Английский

Процитировано

1

Unlocking the Puzzle: Investigating Problem-Solving Patterns in 2D and 3D Virtual Reality Environments Through Mixed Methods Analysis DOI
Zeynep Taçgın

International Journal of Human-Computer Interaction, Год журнала: 2024, Номер unknown, С. 1 - 15

Опубликована: Июнь 27, 2024

This research investigates the intricate relationship between problem-solving patterns and various factors, including demographics, cognitive style, learning styles, puzzle completion, emotional behavioral responses in context of 2D 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 activities a VR environment. first phase involved collecting quantitative to determine styles participants. second gathering qualitative data, observations, audio, video, screen recordings during Findings revealed profound associations gender, education level, dominant hand, previous experience. Notably, females tended analyze pieces more thoroughly, with higher levels exhibited remarkable analytical tendencies. style also influenced for using two hands controller. Puzzle completion times correlated systematic/random arrangement, starting big localization skills. Emotional linked patterns, systematic placement associated lower negative emotions joy, while random arrangement led emotions.

Язык: Английский

Процитировано

0