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Introducing robots to future construction sites will impose extra uncertainties and necessitate workers’ situational awareness (SA) of them. While previous literature has suggested that system errors, trust changes, and time pressure may affect SA, the linkage between these factors and workers’ SA in the future construction industry is understudied. Therefore, this study aimed to fill the research gap by simulating a future bricklaying worker-robot collaborative task where participants experienced robot errors and time pressure during the interaction. The results indicated that robot errors significantly impacted subjects’ trust in robots. However, under time pressure in time-critical construction tasks, workers tended to recover their reduced trust in the faulty robots (sometimes over-trust) and reduce their situational awareness. The contributions of this study lie in providing insights into the importance of SA in future jobsites and the need for investigating effective strategies for better preparing future workers.
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Attributing responsibility for performance failure on worker-robot trust in construction collaborative tasks
Recent advances in construction automation increased the need for cooperation between workers and robots, where workers have to face both success and failure in human-robot collaborative work, ultimately affecting their trust in robots. This study simulated a worker-robot bricklaying collaborative task to examine the impacts of blame targets (responsibility attributions) on trust and trust transfer in multi-robots-human interaction. The findings showed that workers’ responsibility attributions to themselves or robots significantly affect their trust in the robot. Further, in a multi-robots-human interaction, observing one robot’s failure to complete the task will affect the trust in the other devices, aka., trust transfer.
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- Award ID(s):
- 2128970
- PAR ID:
- 10469124
- Publisher / Repository:
- European Council on Computing in Construction
- Date Published:
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Conference Paper:
- https://doi.org/10.35490/EC3.2023.205
