Impact of VR-Based Training on Human-Robot Interaction for Remote Operating Construction Robots

Adami, Pooya; Rodrigues, Patrick B.; Woods, Peter J.; Becerik-Gerber, Burcin; Soibelman, Lucio; Copur-Gencturk, Yasemin; Lucas, Gale

Abstract

Despite the increased interest in automation and the expanded deployment of robots in the construction industry, using robots in a dynamic and unstructured working environment has caused safety concerns in operating construction robots. Improving human-robot interaction (HRI) can increase the adoption of robots on construction sites; for example, increasing trust in robots could help construction workers to accept new technologies. Confidence in operation (or self-efficacy), mental workload, and situational awareness are among other key factors that help such workers to remote operate robots safely. However, construction workers have very few opportunities to practice with robots to build trust, self-efficacy, and situational awareness, as well as resistance against increasing mental workload, before interacting with them on job sites. Virtual reality (VR) could afford a safer place to practice with the robot; thus, we tested if VR-based training could improve these four outcomes during the remote operation of construction robots. We measured trust in the robot, self-efficacy, mental workload, and situational awareness in an experimental study where construction workers remote-operated a demolition robot. Fifty workers were randomly assigned to either VR-based training or traditional in-person training led by an expert trainer. Results show that VR-based training significantly increased trust in the robot, self-efficacy, and situational awareness, compared to traditional in-person training. Our findings suggest that VR-based training can allow for significant increases in beneficial cognitive factors over more traditional methods and has substantial implications for improving HRI using VR, especially in the construction industry.

Citation

Adami, P., Rodrigues, P. B., Woods, P. J., Becerik-Gerber, B., Soibelman, L., Copur-Gencturk, Y., & Lucas, G. (2022). Impact of VR-Based Training on Human-Robot Interaction for Remote Operating Construction Robots. Journal of Computing in Civil Engineering, 36(3), https://doi.org/10.1061/%28asce%29cp.1943-5487.0001016

• Journal Article Type: Article
• Acceptance Date: Dec 7, 2021
• Online Publication Date: Feb 28, 2022
• Publication Date: 2022-05
• Deposit Date: Mar 13, 2023
• Publicly Available Date: Mar 15, 2023
• Journal: Journal of Computing in Civil Engineering
• Print ISSN: 0887-3801
• Electronic ISSN: 1943-5487
• Publisher: American Society of Civil Engineers (ASCE)
• Peer Reviewed: Peer Reviewed
• Volume: 36
• Issue: 3
• DOI: https://doi.org/10.1061/%28asce%29cp.1943-5487.0001016
• Keywords: Computer Science Applications; Civil and Structural Engineering
• Public URL: https://nottingham-repository.worktribe.com/output/18238402
• Publisher URL: https://ascelibrary.org/doi/10.1061/%28ASCE%29CP.1943-5487.0001016