Abstracts – Browse Results
Click on the titles below to expand the information about each abstract.
Viewing 18 results ...
Baker, M; Ali, M; Hassett, E; Jahan Tumpa, R (2025) Tapping the untapped resource to address construction skills shortages: Perceptions of Australian women career changers and construction women. Journal of Construction Engineering and Management, 151(4).
Chang, W C; Esmaeili, B; Hasanzadeh, S (2025) Impacts of physical and informational failures on worker-autonomy trust in future construction. Journal of Construction Engineering and Management, 151(4).
- Type: Journal Article
- Keywords: functional near-infrared spectroscopy; informational failures; physical failures; risk perception; trust transfer; trust violation; worker-autonomy trust
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/JCEMD4.COENG-15241
- Abstract:
Autonomous agents are increasingly becoming construction workers' teammates, making them an integral part of tomorrow's construction industry. Although many expect that worker-autonomy teaming will enhance construction efficiency, the presence of auto-agents, or robots necessitates an appropriate level of trust-building between workers and their autonomous counterparts, especially because these auto-agents' perfection still cannot be guaranteed. Although researchers have widely explored human-autonomy trust in various domains - such as manufacturing and the military - discussion of this teaming dynamic within the construction sector is still nascent. To address this gap, this paper simulated a futuristic bricklaying task to (1) examine whether identifying autonomous agents' physical and informational failures and risk perception affect workers' trust levels, and (2) investigate workers' neuropsychophysiological responses as a measure of trust levels toward robots, especially when autonomous agents are faulty. Results indicate that (1) identification of both types of failures and high-risk perception significantly reduce workers' trust in autonomous agents, and the nuances of workers' responses to both types of failures were discerned; and (2) brain activation correlates with trust changes. The findings suggest that workers' unfamiliarity with autonomous technologies, coupled with fast-growing interest in adopting them, may leave workers at risk of improper trust transfer or overtrust in the autonomous agents. This study contributes to an expanding exploration of worker-autonomy trust in construction and calls for further investigations into effective approaches for auto-agents to communicate their physical and informational failures and to help workers recover and repair trust.
Charbel, G; Assaad, R H; Tejada, T R; Karaa, F (2025) Modeling the interdependencies between the risk factors contributing to preconstruction delays in construction projects. Journal of Construction Engineering and Management, 151(4).
Chen, S; Zeng, N; Li, F; Yue, H; Wang, Q; Li, Q (2025) Proactive safety risk control system for deep foundation pit construction: Situational tailoring of integrated cybernetics and dual-system theory. Journal of Construction Engineering and Management, 151(4).
Dou, Y; Zhong, L; Luo, L (2025) Supply chain resilience of prefabricated construction: Perspectives of stakeholder capabilities and vulnerabilities. Journal of Construction Engineering and Management, 151(4).
He, C; Liu, M; Hsiang, S M; Pierce, N; Megahed, S; Godfrey, A (2025) An ontological knowledge-driven smart contract framework for implicit bridge preservation decision making. Journal of Construction Engineering and Management, 151(4).
Jiang, Z; Han, Y; Cheng, Y; Wang, Z; Meng, H (2025) An improved yolov8-dyhead-wiseiou model for positioning and counting detection of grouting sleeves in a prefabricated wall. Journal of Construction Engineering and Management, 151(4).
Lin, S; Cheung, S O (2025) What organizational justice brings to project dispute negotiation. Journal of Construction Engineering and Management, 151(4).
Liu, Z; Li, X; Gao, Z; Zhang, Y; Teng, Y; Wu, C (2025) A hybrid and intuitive work packaging approach with multiple task relations, general work package precedence, and BIM in modular construction. Journal of Construction Engineering and Management, 151(4).
Mai, T P A; Doan, D T; Ghaffarianhoseini, A (2025) Utilizing multiskilled resources in addressing labor shortage issues in off-site construction: Benefits, challenges, and best practices. Journal of Construction Engineering and Management, 151(4).
Onubi, H O; Carpio, M (2025) Voluntary workplace proenvironmental behavior on construction project sites: Antecedent roles of green human resource management practices, environmental awareness, and job control. Journal of Construction Engineering and Management, 151(4).
Sharma, N; Laishram, B (2025) Decoding the emergent patterns of cost of quality through the lens of sociotechnical systems: A bibliometric analysis. Journal of Construction Engineering and Management, 151(4).
Shrestha, R; Ko, T; Lee, J (2025) Quantifying project uncertainties: Leveraging historical bid and change order data for automated detection of cost and schedule impacts in new projects. Journal of Construction Engineering and Management, 151(4).
Sun, R; Yan, Q; Zhang, C; Qiao, M; Ren, J (2025) Comprehensive evaluation of grouting effectiveness combining qualitative on-site tests and improved fuzzy integration with entropy weight method: Case study of a mountain tunnel. Journal of Construction Engineering and Management, 151(4).
Tao, Y; Hu, H; Xu, F; Zhang, Z (2025) Ergonomic risk mitigation through workforce planning for construction projects. Journal of Construction Engineering and Management, 151(4).
Wang, H; Chen, X; Wang, J; Guan, W; Wei, S (2025) Multiobjective trade-off optimization of time, cost, quality, and carbon emission in the building construction stage. Journal of Construction Engineering and Management, 151(4).
Yan, H; Liu, C; Yang, X; Feng, K (2025) Real-time digital twin-driven 3D near-miss detection system at construction sites. Journal of Construction Engineering and Management, 151(4).
Yu, M; Ruan, W; Zhou, Y; Zhao, Y (2025) Flow shop scheduling for prefabricated components production considering parallel machines and buffer constraints. Journal of Construction Engineering and Management, 151(4).