Learning from construction accidents in virtual reality with an ontology-enabled framework

  • Pedro, Akeem
  • Bao, Quy Lan
  • Hussain, Rahat
  • Soltani, Mehrtash
  • Pham, Hai Chien
  • 외 1명
Citations

WEB OF SCIENCE

17
Citations

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19

초록

Learning from accidents is essential in preventing their recurrence; however, the unstructured nature of construction accident data poses a significant challenge to the retrieval of insightful information from past incidents. The absence of engaging training tools that facilitate access to such information also impedes learning. This paper aims to develop an ontology-enabled Virtual Reality (VR) framework to provide access to incident data in immersive educational settings. The framework comprises three modules: 1) Ontology module for structuring information from accidents; 2) VR module for interactive learning based on accident cases; and 3) Semantic enrichment module for embedding accident information in VR scenarios. A prototype was developed to verify the frameworks' technical feasibility, usability, and educational potential. User trials confirm that the solution offers a promising medium for learning from accidents. It is anticipated that the framework would enhance practices for learning from accidents and contribute to improved safety outcomes in construction.

키워드

Construction safetyVirtual realityOntologyGame engineLearning from accidentsAUGMENTED REALITYSAFETYINFORMATIONINCIDENTSEDUCATIONEXPERIENCESMANAGEMENTKNOWLEDGEDESIGNSYSTEM
제목
Learning from construction accidents in virtual reality with an ontology-enabled framework
저자
Pedro, AkeemBao, Quy LanHussain, RahatSoltani, MehrtashPham, Hai ChienPark, Chansik
DOI
10.1016/j.autcon.2024.105597
발행일
2024-10
유형
Article
저널명
Automation in Construction
166