Toward Human-in-the-Loop Construction Robotics: Understanding Workers' Response through Trust Measurement during Human-Robot Collaboration

Shayan Shayesteh, Houtan Jebelli

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Scopus citations

Abstract

The use of construction robots to facilitate labor-intensive tasks is increasing in many jobsites. However, human intelligence and expertise are yet crucial to support such robots in accomplishing their tasks. Therefore, it is essential that human-robot teams entail a human-in-the-loop approach for integrating humans into the system. To reliably design such systems, it is critical to understand workers' confidence in such models, particularly in hazardous and complex construction jobsites. In this context, assessing workers' trust can shed light on the efficient adoption of robots. To that end, this study investigates the impact of the human-in-the-loop approach on human-robot trust. Accordingly, a comparative experiment was conducted in an immersive virtual environment in which participants performed brick-laying tasks in collaboration with robots through two different approaches: a human-in-the-loop approach and a human-out-the-loop approach. The participants' trust in the robot was measured using the Trust Perception Scale-HRI. The Wilcoxon signed-rank test revealed that the human-in-the-loop approach could lead to significantly higher levels of trust. The findings of this study provide insights into the effective adoption of robots in construction sites. Thus, this study can open new doors to facilitating the imminent paradigm shift toward the human-in-the-loop approach in construction robotics.

Original languageEnglish (US)
Title of host publicationConstruction Research Congress 2022
Subtitle of host publicationComputer Applications, Automation, and Data Analytics - Selected Papers from Construction Research Congress 2022
EditorsFarrokh Jazizadeh, Tripp Shealy, Michael J. Garvin
PublisherAmerican Society of Civil Engineers (ASCE)
Pages631-639
Number of pages9
ISBN (Electronic)9780784483961
DOIs
StatePublished - 2022
EventConstruction Research Congress 2022: Computer Applications, Automation, and Data Analytics, CRC 2022 - Arlington, United States
Duration: Mar 9 2022Mar 12 2022

Publication series

NameConstruction Research Congress 2022: Computer Applications, Automation, and Data Analytics - Selected Papers from Construction Research Congress 2022
Volume2-B

Conference

ConferenceConstruction Research Congress 2022: Computer Applications, Automation, and Data Analytics, CRC 2022
Country/TerritoryUnited States
CityArlington
Period3/9/223/12/22

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Building and Construction

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