The role of human error in human robot interaction
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| Title: | The role of human error in human robot interaction |
|---|---|
| Authors: | Esposito, Carmen, De Simone, Valentina, Di Pasquale, Valentina, Rinaldi, Marta, Fera, Marcello, Miranda, Salvatore |
| Source: | Procedia Computer Science. 253:2347-2357 |
| Publisher Information: | Elsevier BV, 2025. |
| Publication Year: | 2025 |
| Subject Terms: | collaborative robot, human performance, human error, human reliability, industrial systems |
| Description: | In the context of Human-Robot Interaction (HRI) within manufacturing environments, Human Error (HE) remains a critical factor affecting performance, safety, and efficiency. Understanding and categorizing these errors, essential for the design of safe and efficient collaborative work cells, still remains a research topic uncovered by the scientific literature. This study aims to fill this gap by systematically investigating human errors in HRI, offering a comprehensive review of existing classifications, their underlying causes, and the research gaps in current literature. The primary objective is to develop a preliminary taxonomy of human errors specific to HRI, which will serve as a foundation for improving the design of collaborative cells. By providing actionable insights, this taxonomy supports the optimization of both performance and safety in industrial operations. Despite these contributions, the research highlights ongoing challenges in fully grasping the complex interactions and feedback mechanisms that drive human errors. Therefore, the study calls for future research on adaptive systems, zero-shot reasoning, and enhanced feedback loops to further minimize human error in HRI settings. |
| Document Type: | Article Conference object |
| Language: | English |
| ISSN: | 1877-0509 |
| DOI: | 10.1016/j.procs.2025.01.295 |
| Rights: | CC BY NC ND |
| Accession Number: | edsair.doi.dedup.....291d0143f896fdd8b611799cfccd5a19 |
| Database: | OpenAIRE |
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Nájsť tento článok vo Web of Science | Abstract: | In the context of Human-Robot Interaction (HRI) within manufacturing environments, Human Error (HE) remains a critical factor affecting performance, safety, and efficiency. Understanding and categorizing these errors, essential for the design of safe and efficient collaborative work cells, still remains a research topic uncovered by the scientific literature. This study aims to fill this gap by systematically investigating human errors in HRI, offering a comprehensive review of existing classifications, their underlying causes, and the research gaps in current literature. The primary objective is to develop a preliminary taxonomy of human errors specific to HRI, which will serve as a foundation for improving the design of collaborative cells. By providing actionable insights, this taxonomy supports the optimization of both performance and safety in industrial operations. Despite these contributions, the research highlights ongoing challenges in fully grasping the complex interactions and feedback mechanisms that drive human errors. Therefore, the study calls for future research on adaptive systems, zero-shot reasoning, and enhanced feedback loops to further minimize human error in HRI settings. |
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| ISSN: | 18770509 |
| DOI: | 10.1016/j.procs.2025.01.295 |