Abstract
In response to labour shortages in the construction industry, the deployment of construction collaborative robots (CCRs) has become urgent. This study explored the factors impacting the acceptance of CCRs amongst construction workers. A theoretical model was formulated by integrating the technology acceptance model, initial trust, risk perception-safety (RP-S), risk perception-privacy (RP-Pr) and risk perception-performance (RP-Pe). The proposed model's validity was validated with data gathered from 304 construction workers. The results indicated that RP-S and RP-Pe exerted a negative impact on initial trust, while PU produced a positive impact on initial trust. Initial trust, PU and PEOU positively influenced construction workers' attitudes towards the use of CCRs, with initial trust identified as the most critical determining factor. PU and construction workers' attitudes towards the use of CCRs positively influenced behavioural intentions. This research offered practical recommendations to promote the adoption of CCRs by construction workers for improving construction efficiency and safety. © 2025 Taylor & Francis Group, LLC
| Original language | English |
|---|---|
| Number of pages | 17 |
| Journal | International Journal of Human-Computer Interaction |
| Online published | 17 Jul 2025 |
| DOIs | |
| Publication status | Online published - 17 Jul 2025 |
Funding
This research was supported by the National Natural Science Foundation of China [number 72301110], the Philosophy and Social Science Planning Project of Guangdong Province of China [number GD25YYS35], the Guangzhou Municipal Science and Technology Bureau [number 2024A04J2279] and the Fundamental Research Funds for the Central Universities [number QNMS202418].
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Research Keywords
- Construction workers
- construction collaborative robots
- initial trust
- risk perception
- technology acceptance
Publisher's Copyright Statement
- COPYRIGHT TERMS OF DEPOSITED POSTPRINT FILE: This is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Human-Computer Interaction on 17 Jul 2025, available online: https://www.tandfonline.com/doi/full/10.1080/10447318.2025.2527841.
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