Factors Influencing Safety Behavior of Workers in Human-robot Collaboration (HRC) Assembly Lines Based on ISM Theory

DOI

10.2991/978-94-6463-736-6_5How to use a DOI?

Keywords

Human-robot Collaboration (HRC) Assembly Line; Human-Computer Interaction; Theory of Planned Behavior; Recursive Structural Models

Abstract

This paper investigates workers’ safety behavior in human-robot collaborative (HRC) assembly lines, a key area in industrial engineering and operations management, especially with Industry 4.0’s impact on interaction forms. By integrating the theory of planned behavior, an extended version applicable to HRC assembly lines is proposed. Using ISM based on 414 worker surveys, seven factors were identified, and matrices were established to define hierarchy and create a directional map. Results show that subjective norms positively influence safety behaviors and there is an interaction between perceptual behavioral control and situational awareness. These findings provide assembly line enterprises with a reference for workers’ safety behavior, which can be used to reduce human errors and behavioral habit cultivation by enhancing the human-machine interaction model in order to reduce the occurrence of safety accidents and promote the efficient and collaborative development of the assembly line industry.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Liuyi Yang
AU  - Ning Cui
PY  - 2025
DA  - 2025/05/22
TI  - Factors Influencing Safety Behavior of Workers in Human-robot Collaboration (HRC) Assembly Lines Based on ISM Theory
BT  - Proceedings of the 2025 4th International Conference on Engineering Management and Information Science (EMIS 2025)
PB  - Atlantis Press
SP  - 27
EP  - 34
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-736-6_5
DO  - 10.2991/978-94-6463-736-6_5
ID  - Yang2025
ER  -