Enhancing perceived safety in human-robot collaborative construction using immersive virtual environments

被引:116
作者
You, Sangseok [1 ]
Kim, Jeong-Hwan [2 ]
Lee, SangHyun [2 ]
Kamat, Vineet [2 ]
Robert, Lionel P., Jr. [3 ]
机构
[1] HEC Paris, Dept Informat Syst & Operat Management, 1 Rue Liberat, F-78351 Jouy En Josas, France
[2] Dept Civil & Environm Engn, 2350 Hayward, Ann Arbor, MI 48109 USA
[3] Univ Michigan, Sch Informat, 105 S State St, Ann Arbor, MI 48105 USA
关键词
Human-robot work collaboration (HRWC); Immersive virtual environment (IVE); Robot Acceptance Safety Model (RASM); Masonry; Safety; Trust; Team identification; Intention to work with robot; PERSONAL-SPACE; USER ACCEPTANCE; PERFORMANCE; TRUST; WORK; COOPERATION; TECHNOLOGY; DESIGN; THREAT; TEAMS;
D O I
10.1016/j.autcon.2018.09.008
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Advances in robotics now permit humans to work collaboratively with robots. However, humans often feel unsafe working alongside robots. Our knowledge of how to help humans overcome this issue is limited by two challenges. One, it is difficult, expensive and time-consuming to prototype robots and set up various work situations needed to conduct studies in this area. Two, we lack strong theoretical models to predict and explain perceived safety and its influence on human-robot work collaboration (HRWC). To address these issues, we introduce the Robot Acceptance Safety Model (RASM) and employ immersive virtual environments (IVEs) to examine perceived safety of working on tasks alongside a robot. Results from a between-subjects experiment done in an WE show that separation of work areas between robots and humans increases perceived safety by promoting team identification and trust in the robot. In addition, the more participants felt it was safe to work with the robot, the more willing they were to work alongside the robot in the future.
引用
收藏
页码:161 / 170
页数:10
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