Game-Based Learning for Improved Hazard Identification: Evaluating the Effectiveness of OSHA Hazard Identification Tool.
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| Title: | Game-Based Learning for Improved Hazard Identification: Evaluating the Effectiveness of OSHA Hazard Identification Tool. |
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| Authors: | Kanade, Sameeran G. (AUTHOR), Hasanzadeh, Sogand (AUTHOR), Pitts, Brandon J. (AUTHOR), Esmaeili, Behzad (AUTHOR), Duffy, Vincent G. (AUTHOR) |
| Source: | International Journal of Human-Computer Interaction. May2026, Vol. 42 Issue 9, p6600-6618. 19p. |
| Subjects: | Safety education, Eye tracking, Effective teaching, Gamification, Industrial safety, Industrial hygiene, Risk assessment |
| Abstract: | This study examines the effectiveness of game-based learning in enhancing hazard identification skills. The research employed a mixed-methods approach, combining quantitative analysis of participants' hazard identification performance and eye-tracking data with qualitative insights from participant feedback. In a simulated study, participants were asked to identify hazards following the game-based training intervention. The Hazard Identification Index (HII) scores increased significantly (p < 0.0001) in the post-training trials, indicating enhanced hazard recognition abilities. The analysis of eye-tracking data revealed changes in participants' attention allocation patterns in the post-training trials. Furthermore, the study highlights the importance of minimizing task interruptions during hazard identification activities, as interruptions negatively impacted participants' performance. The findings of this study have significant implications for training programs focused on workplace safety. Integrating game-based learning in safety training programs can help employers enhance hazard identification skills among their employees, ultimately contributing to safer work environments and reducing incidents of accidents and injuries. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Human-Computer Interaction is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
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