Noghabaei, M (2021) Visual and behavioral data analysis in immersive virtual environments for enhancing construction safety, planning, and control. PhD thesis, North Carolina State University, USA.
Abstract
With recent advances in Building Information Modeling (BIM), Virtual Reality (VR) and Augmented Reality (AR) technologies have many synergistic opportunities for the Architecture, Engineering, and Construction (AEC) industry. Moreover, a combination of VR technologies with biometric sensors or motion trackers enables new ways to improve construction safety, planning and controls. The overall objective of this study is to improve construction safety, planning, and control by leveraging the emerging VR and AR technologies. The first aim of this study is about leveraging VR technologies to understand workers' cognitive behaviors in the presence of construction hazards. The second aim leverages VR and AR technologies in remote inspection and improve human interactions in immersive virtual environments through advances in computer vision and motion tracking technologies. Additionally, the output of this research can be used to potentially reduce rework and effectively assist practitioners in utilizing VR technology for virtual assembly and inspection applications. This thesis concludes with discussion on future applications in construction that can branch out to two future studies.
| Item Type: | Thesis (Doctoral) |
|---|---|
| Thesis advisor: | Jaselskis, E; Albert, A; Watson, B and Han, K |
| Uncontrolled Keywords: | hazards; virtual reality; construction safety; sensors; building information modeling; inspection; safety; immersive virtual environment |
| Index terms: | construction safety, augmented reality, practitioner, rework, data analysis, computer vision, future study, immersive virtual environment, interaction, presence, virtual reality, inspection, building information modelling |
| Subjects: | virtual reality, research design and methodology, data analysis and analytics, environmental health, information systems, practitioner, operations management, visualization, environmental science, computer vision, quality assurance, behavioral psychology |
| Topics: | Quality Management, Sustainability, Project Management, Digital Applications, Roles and Professions, Research Practice |
| Descriptive scope: | 3 PCA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here