International conference on construction engineering and project management (국제학술발표논문집)

  • 2024.07a
  • /
  • Pages.1088-1095
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  • 2024
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  • 2508-9048(eISSN)
Korea Institute of Construction Engineering and Management (한국건설관리학회)
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Errors in Human-Robot Interaction Accidents: A Taxonomy and Network Analysis

  • Brian H.W. GUO (Department of Civil and Natural Resources Engineering, Faculty of Engineering, University of Canterbury) ;
  • Yonger ZUO (Department of Civil and Natural Resources Engineering, Faculty of Engineering, University of Canterbury) ;
  • Yang Miang Goh (Department of Built Environment, National University of Singapore) ;
  • Jae-Yong Lim (Department of Safety Engineering, Seoul National University of Science and Technology)
  • Published : 2024.07.29
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Abstract

To enhance the investigation, analysis, and design of safe human-robot interactions (HRI), this study develops a comprehensive taxonomy of safety-related errors in HRI and examines the relationships between errors and the types and levels of HRI. Analyzing 262 HRI accident case reports, the research identifies and categorizes human and robot errors through qualitative analysis. The resulting taxonomy divides human errors into procedure, intrusion, operation, and situation awareness errors, and robot errors into system and safeguarding failures, operational errors, and design flaws. A network of human and robot errors was developed by applying Gephi to represent the human-robot error interactions. The results indicated that "misjudgment of the robot's operational status," "inadvertent activation of the robot," "working within an energized robotic cell without adequate safety measures," and "failure to deenergize/stop the robot" are among those most frequently linked to robot errors. "Inadequate lockout/tagout" and "absence of human detection and protective stop functions" stand out as the most frequent human-robot error interaction.

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References

  1. B.H. Guo, T.W. Yiu, V.A. Gonzalez, Identifying behaviour patterns of construction safety using system archetypes, Accident Analysis & Prevention 80 (2015) 125-141. 
  2. Y.M. Goh, N.F. Binte Sa'adon, Cognitive factors influencing safety behavior at height: a multimethod exploratory study, Journal of Construction Engineering and Management 141 (2015) 04015003. 
  3. J. Reason, Managing the risks of organizational accidents, Routledge, 2016. 
  4. F.W. Guldenmund, The nature of safety culture: a review of theory and research, Safety Science 34 (2000) 215-257. 
  5. D. Zohar, Safety climate in industrial organizations: theoretical and applied implications., Journal of Applied Psychology 65 (1980) 96. 
  6. G.J. Fogarty, A. Shaw, Safety climate and the theory of planned behavior: Towards the prediction of unsafe behavior, Accident Analysis & Prevention 42 (2010) 1455-1459. 
  7. B.H. Guo, T.W. Yiu, V.A. Gonzalez, Predicting safety behavior in the construction industry: Development and test of an integrative model, Safety Science 84 (2016) 1-11. 
  8. S. Mohamed, Safety climate in construction site environments, Journal of Construction Engineering and Management 128 (2002) 375-384. 
  9. R.M. Choudhry, Behavior-based safety on construction sites: A case study, Accident Analysis & Prevention 70 (2014) 14-23. 
  10. A.R. Duff, I.T. Robertson, R.A. Phillips, M.D. Cooper, Improving safety by the modification of behaviour, Construction Management and Economics 12 (1994) 67-78. 
  11. B.H. Guo, Y.M. Goh, K.L.X. Wong, A system dynamics view of a behavior-based safety program in the construction industry, Safety Science 104 (2018) 202-215. 
  12. L. Onnasch, E. Roesler, A Taxonomy to Structure and Analyze Human-Robot Interaction, Int J of Soc Robotics 13 (2021) 833-849. https://doi.org/10.1007/s12369-020-00666-5. 
  13. H.A. Yanco, J.L. Drury, A taxonomy for human-robot interaction, in: Proceedings of the AAAI Fall Symposium on Human-Robot Interaction, 2002: pp. 111-119. https://cdn.aaai.org/Symposia/Fall/2002/FS-02-03/FS02-03-015.pdf (accessed December 21, 2023). 
  14. C.-J. Liang, X. Wang, V.R. Kamat, C.C. Menassa, Human-Robot Collaboration in Construction: Classification and Research Trends, J. Constr. Eng. Manage. 147 (2021) 03121006. https://doi.org/10.1061/(ASCE)CO.1943-7862.0002154. 
  15. T.P. Huck, N. Munch, L. Hornung, C. Ledermann, C. Wurll, Risk assessment tools for industrial human-robot collaboration: Novel approaches and practical needs, Safety Science 141 (2021) 105288. https://doi.org/10.1016/j.ssci.2021.105288. 
  16. J. Reason, Human Error, Cambridge University Press, 1990. 
  17. A. Nakamura, K. Nagata, K. Harada, N. Yamanobe, Estimation and Categorization of Errors in Error Recovery Using Task Stratification and Error Classification, Journal of Robotics, Networking and Artificial Life 4 (2017) 163. https://doi.org/10.2991/jrnal.2017.4.2.13. 
  18. J. Carlson, R.R. Murphy, How UGVs physically fail in the field, IEEE Transactions on Robotics 21 (2005) 423-437. 
  19. S. Honig, T. Oron-Gilad, Understanding and resolving failures in human-robot interaction: Literature review and model development, Frontiers in Psychology 9 (2018) 861. 
  20. A. Zunjic, Classification of Causes of Errors in the Human-Robot System, Journal of Robotics and Mechanical Engineering Research 2 (2018) 7-13. 
  21. K. Lee, J. Shin, J.-Y. Lim, Critical hazard factors in the risk assessments of industrial robots: causal analysis and case studies, Safety and Health at Work 12 (2021) 496-504. 
  22. J. Rasmussen, Skills, rules, and knowledge; signals, signs, and symbols, and other distinctions in human performance models, IEEE Transactions on Systems, Man, and Cybernetics (1983) 257-266. 
  23. J.C. Le Coze, The 'new view'of human error. Origins, ambiguities, successes and critiques, Safety Science 154 (2022) 105853. 
  24. S. ISO, Robots and Robotic Devices-Safety Requirements for Industrial Robots-Part 1: Robots (ISO 10218-1: 2012), International Organization for Standardization (2012). 
  25. S. ISO, Robots and Robotic Devices-Collaborative Robots (ISO-15066: 2016), International Organization for Standardization (2016). 
  26. M. Bastian, S. Heymann, M. Jacomy, Gephi: an open source software for exploring and manipulating networks, in: Proceedings of the International AAAI Conference on Web and Social Media, 2009: pp. 361-362. http://ojs.aaai.org/index.php/ICWSM/article/view/13937 (accessed February 7, 2024).