Liang, X; Rasheed, U; Cai, J; Wibranek, B and Awolusi, I (2024) Impacts of collaborative robots on construction work performance and worker perception: Experimental analysis of human-robot collaborative wood assembly. Journal of Construction Engineering and Management, 150(8): 04024087, ISSN 0733-9364
Abstract
Collaborative robots are increasingly recognized as potential assistants to relieve workers from repetitive and physically demanding tasks on construction jobsites. Despite the great potential, most efforts have focused on developing various artificial intelligence (AI) and robotic technologies to achieve specific human-robot collaboration (HRC) functions. However, there is a significant lack of research regarding the impacts of such collaboration on construction work performance and workers' perception and acceptance of collaborative robots, which could be a critical influence factor on the feasibility and effectiveness of HRC on construction jobsites. To this end, this study aims to evaluate the multidimensional impacts of collaborative robots on work efficiency, quality, and workload as well as workers' perception and acceptance. HRC experiments on sample construction tasks (i.e., wood assembly) were conducted in conjunction with quantitative measurements and subject surveys. Through comparison between HRC experiments and human-human collaboration (HHC) experiments based on this case study, it was found that HRC could improve up to 29.3% and 88.6% in work efficiency and assembly accuracy, respectively, and reduce workers' workload by up to 20.3%. Furthermore, workers' perception of HRC is found to be positive overall with higher acceptance after HRC experience, characterized by questionnaires designed based on the technology acceptance model. Through physical experiments, this research is expected to produce more reliable results compared with conventional approaches where participants are simply provided with imaginary scenarios. The findings will also guide the development of robotic technologies to enhance the practical application of HRC in construction.
| Item Type: | Article |
|---|---|
| Index terms: | artificial intelligence, technology acceptance model, construction work, effectiveness, wood, efficiency, case study, collaboration, questionnaire, workload, survey, accuracy, experiment |
| Subjects: | acoustic properties, professional development, management, performance management, traditional and composite building materials, artificial intelligence, operations management, data collection methods |
| Topics: | Human Resources, Quality Management, Digital Applications, Organizational Design, Construction Materials, Information Management, Engineering Principles, Project Management, Research Practice |
| Descriptive scope: | 4 PCEA |
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