TY - GEN
T1 - Analyzing Human Visual Attention in Human-Robot Collaborative Construction Tasks
AU - Liang, Xiaoyun
AU - Cai, Jiannan
AU - Hu, Yuqing
N1 - Publisher Copyright:
© 2024 ASCE.
PY - 2024
Y1 - 2024
N2 - Human-Robot Collaboration (HRC) is a promising approach to relieve workers from repetitive and physically demanding tasks and improve safety and productivity in construction. It is critical for robots to understand worker intention in order to adapt their motion to facilitate smooth HRC. Evidence has shown that visual attention reveals human intention. However, it is still unclear how visual attention is distributed in human-robot collaborative construction tasks. In this study, a pilot experiment was conducted to examine human visual attention in a wood assembly task with the assistance of a collaborative robot. A mobile eye tracker was used to collect participants' gaze movements. Data were validated and processed in terms of various metrics to analyze visual attention patterns. It is found that construction workers' visual attention is related to the detailed process of the task - around 30% of the eye gaze is located at the connector areas and the design drawing area, which is primarily relevant to their task. Furthermore, workers' attention could be affected by the movement of the robot, with their gaze following the path of robot arm and gripper during the collaboration. The findings can stimulate further research into attention-aware HRC for intelligent construction.
AB - Human-Robot Collaboration (HRC) is a promising approach to relieve workers from repetitive and physically demanding tasks and improve safety and productivity in construction. It is critical for robots to understand worker intention in order to adapt their motion to facilitate smooth HRC. Evidence has shown that visual attention reveals human intention. However, it is still unclear how visual attention is distributed in human-robot collaborative construction tasks. In this study, a pilot experiment was conducted to examine human visual attention in a wood assembly task with the assistance of a collaborative robot. A mobile eye tracker was used to collect participants' gaze movements. Data were validated and processed in terms of various metrics to analyze visual attention patterns. It is found that construction workers' visual attention is related to the detailed process of the task - around 30% of the eye gaze is located at the connector areas and the design drawing area, which is primarily relevant to their task. Furthermore, workers' attention could be affected by the movement of the robot, with their gaze following the path of robot arm and gripper during the collaboration. The findings can stimulate further research into attention-aware HRC for intelligent construction.
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U2 - 10.1061/9780784485262.087
DO - 10.1061/9780784485262.087
M3 - Conference contribution
AN - SCOPUS:85188701326
T3 - Construction Research Congress 2024, CRC 2024
SP - 856
EP - 865
BT - Advanced Technologies, Automation, and Computer Applications in Construction
A2 - Shane, Jennifer S.
A2 - Madson, Katherine M.
A2 - Mo, Yunjeong
A2 - Poleacovschi, Cristina
A2 - Sturgill, Roy E.
PB - American Society of Civil Engineers (ASCE)
T2 - Construction Research Congress 2024, CRC 2024
Y2 - 20 March 2024 through 23 March 2024
ER -