Impact of VR-Based Training on Human–Robot Interaction for Remote Operating Construction RobotsSource: Journal of Computing in Civil Engineering:;2022:;Volume ( 036 ):;issue: 003::page 04022006Author:Pooya Adami
,
Patrick B. Rodrigues
,
Peter J. Woods
,
Burcin Becerik-Gerber
,
Lucio Soibelman
,
Yasemin Copur-Gencturk
,
Gale Lucas
DOI: 10.1061/(ASCE)CP.1943-5487.0001016Publisher: ASCE
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.
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| contributor author | Pooya Adami | |
| contributor author | Patrick B. Rodrigues | |
| contributor author | Peter J. Woods | |
| contributor author | Burcin Becerik-Gerber | |
| contributor author | Lucio Soibelman | |
| contributor author | Yasemin Copur-Gencturk | |
| contributor author | Gale Lucas | |
| date accessioned | 2022-05-07T20:57:45Z | |
| date available | 2022-05-07T20:57:45Z | |
| date issued | 2022-02-28 | |
| identifier other | (ASCE)CP.1943-5487.0001016.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4283123 | |
| description 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. | |
| publisher | ASCE | |
| title | Impact of VR-Based Training on Human–Robot Interaction for Remote Operating Construction Robots | |
| type | Journal Paper | |
| journal volume | 36 | |
| journal issue | 3 | |
| journal title | Journal of Computing in Civil Engineering | |
| identifier doi | 10.1061/(ASCE)CP.1943-5487.0001016 | |
| journal fristpage | 04022006 | |
| journal lastpage | 04022006-15 | |
| page | 15 | |
| tree | Journal of Computing in Civil Engineering:;2022:;Volume ( 036 ):;issue: 003 | |
| contenttype | Fulltext |