1. Enhancing Perceived Safety in Human–Robot Collaborative Construction Using Immersive Virtual Environments
- Author
-
Sangseok You, Lionel P. Robert, Jeonghwan Kim, SangHyun Lee, Vineet R. Kamat, Okinawa Institute of Science and Technology Graduate University (OIST), Institute for Computational Engineering and Sciences [Austin] (ICES), University of Texas at Austin [Austin], and HEC Research Paper Series
- Subjects
0209 industrial biotechnology ,Identification ,Computer science ,0211 other engineering and technologies ,Theoretical models ,02 engineering and technology ,Robot Acceptance Safety Model (RASM) ,Virtual reality ,Trust ,Human–robot interaction ,020901 industrial engineering & automation ,Human–computer interaction ,021105 building & construction ,0502 economics and business ,Set (psychology) ,Masonry ,GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries) ,Construction automation ,Civil and Structural Engineering ,Perceived safety ,Immersive Virtual ,business.industry ,05 social sciences ,Robotics ,Building and Construction ,Environment (IVE) ,Human–Robot Work Collaboration (HRWC) ,Identification (information) ,Work (electrical) ,Control and Systems Engineering ,Robot ,[SHS.GESTION]Humanities and Social Sciences/Business administration ,Intention to Work with Robot ,Artificial intelligence ,Safety ,Immersive virtual environment ,business ,Humanoid robot ,050203 business & management ,Virtual prototyping ,Team - Abstract
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 IVE 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.
- Published
- 2018