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Ahmed, M O, El-Adaway, I H and Caldwell, A (2024) Comprehensive understanding of factors impacting competitive construction bidding. Journal of Construction Engineering and Management, 150(04).
Borhani, A, Borhani, A, Dossick, C S and Jupp, J (2024) An ontological analysis for comparison of the concepts of sustainable building and intelligent building. Journal of Construction Engineering and Management, 150(04).
Eissa, R, Nabi, M A and El-Adaway, I H (2024) Risk–reward share allocation under different integrated project delivery relational structures: A monte-carlo simulation and cooperative game theoretic solutions approach. Journal of Construction Engineering and Management, 150(04).
Gunduz, M, Sirin, O and Al Nawaiseh, H M (2024) Assessment of critical project success factors for management of pavement construction using the Delphi approach. Journal of Construction Engineering and Management, 150(04).
Guo, W, Lu, W, Kang, F and Zhang, L (2024) How to foster relational behavior in construction projects: Direct and mediating effects of contractual complexity and regulatory focus. Journal of Construction Engineering and Management, 150(04).
Husam, S, Laishram, B and Johari, S (2024) Framework to enhance gender inclusion of workers in construction sites. Journal of Construction Engineering and Management, 150(04).
Ishdorj, S, Ahn, C R and Park, M (2024) Major factors influencing safety knowledge-sharing behaviors of construction field workers: Worker-to-worker level safety communication. Journal of Construction Engineering and Management, 150(04).
Kaya, H D and Dikmen, I (2024) Using system dynamics to support strategic digitalization decisions. Journal of Construction Engineering and Management, 150(04).
Kim, Y and Ham, Y (2024) Revealing the impact of heat radiation on construction: A microclimate simulation using meteorological data and geometric modeling. Journal of Construction Engineering and Management, 150(04).
Lee, K and Hasanzadeh, S (2024) Understanding cognitive anticipatory process in dynamic hazard anticipation using multimodal psychophysiological responses. Journal of Construction Engineering and Management, 150(04).
Ma, S, Li, Z, Li, L, Zhang, S and Zheng, R (2024) Deciphering the key characteristics of on-site industrialized construction: Inspiration from China. Journal of Construction Engineering and Management, 150(04).
Pinheiro Santos Fernandes, P G, Elias Arantes, A and Ferreira Nobre Júnior, E (2024) Optimization model for earthwork allocations considering the construction of multiple haul roads: GIS-based integrated approach. Journal of Construction Engineering and Management, 150(04).
Rizaee, S and Lei, Z (2024) Duration estimation of a heavy industrial scaffolding project: A case study. Journal of Construction Engineering and Management, 150(04).
Salhab, D, Lindhard, S M and Hamzeh, F (2024) Simulation-based approximation of the gain from applying overlapping activities. Journal of Construction Engineering and Management, 150(04).
Vora, C, Aryal, A, Willoughby, S and Wang, C (2024) Investigating stakeholder perception and developing a decision framework for robot adoption in construction. Journal of Construction Engineering and Management, 150(04).
Wong, M O, Zhang, Z and Pan, W (2024) Multiuser virtual reality-enabled collaborative heavy lift planning in construction. Journal of Construction Engineering and Management, 150(04).
Xu, F, Nguyen, T and Du, J (2024) Augmented reality for maintenance tasks with chatgpt for automated text-to-action. Journal of Construction Engineering and Management, 150(04).
- Type: Journal Article
- Keywords: augmented reality; chatgpt; maintenance
- ISBN/ISSN: 0733-9364
- URL: http://doi.org/10.1061/JCEMD4.COENG-14142
- Abstract:
Advancements in sensor technology, artificial intelligence (AI), and augmented reality (AR) have unlocked opportunities across various domains. AR and large language models like GPT have witnessed substantial progress and increasingly are being employed in diverse fields. One such promising application is in operations and maintenance (OM). OM tasks often involve complex procedures and sequences that can be challenging to memorize and execute correctly, particularly for novices or in high-stress situations. By combining the advantages of superimposing virtual objects onto the physical world and generating human-like text using GPT, we can revolutionize OM operations. This study introduces a system that combines AR, optical character recognition (OCR), and the GPT language model to optimize user performance while offering trustworthy interactions and alleviating workload in OM tasks. This system provides an interactive virtual environment controlled by the Unity game engine, facilitating a seamless interaction between virtual and physical realities. A case study (N=30) was conducted to illustrate the findings and answer the research questions. The Multidimensional Measurement of Trust (MDMT) was applied to understand the complexity of trust engagement with such a human-like system. The results indicate that users can complete similarly challenging tasks in less time using our proposed AR and AI system. Moreover, the collected data also suggest a reduction in cognitive load when executing the same operations using the AR and AI system. A divergence of trust was observed concerning capability and ethical dimensions.
Zhang, Y, Xiao, B and Li, X (2024) Integrating virtual reality and consensus models for streamlined built environment design collaboration. Journal of Construction Engineering and Management, 150(04).