Work Roles in Human–Robot Collaborative Systems: Effects on Cognitive Ergonomics for the Manufacturing Industry

Human–robot collaborative systems have been adopted by manufacturing organizations with the objective of releasing physical workload to the human factor. However, the roles and responsibilities of human operators in these semi-automated systems have not been properly analyzed. This might carry impor...

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Main Authors: Pablo Segura, Odette Lobato-Calleros, Isidro Soria-Arguello, Eduardo Gamaliel Hernández-Martínez
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/15/2/744
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author Pablo Segura
Odette Lobato-Calleros
Isidro Soria-Arguello
Eduardo Gamaliel Hernández-Martínez
author_facet Pablo Segura
Odette Lobato-Calleros
Isidro Soria-Arguello
Eduardo Gamaliel Hernández-Martínez
author_sort Pablo Segura
collection DOAJ
description Human–robot collaborative systems have been adopted by manufacturing organizations with the objective of releasing physical workload to the human factor. However, the roles and responsibilities of human operators in these semi-automated systems have not been properly analyzed. This might carry important consequences in the cognitive dimension of ergonomics, which then contradicts the main well-being goals of collaborative work. Therefore, we designed a series of collaborative scenarios where we shifted the assignment of work responsibilities between humans and robots while executing a quality inspection task. Variations in the state of cognitive ergonomics were estimated with subjective and objective techniques via workload tests and physiological responses respectively. Furthermore, we introduced a work design framework based on 50 state-of-the-art applications for a structured implementation of human–robot collaborative systems that contemplates the underlying organizational and technological components necessary to fulfill its basic functionalities. Human operators that possessed responsibility roles over collaborative robots presented better results in terms of cognitive workload and spare mental capacity alike. In this regard, mental demand is seen as a key workload variable to consider when designing collaborative work in current manufacturing settings.
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issn 2076-3417
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spelling doaj-art-284da78db73d4dd99fa72957dc2de4922025-01-24T13:20:40ZengMDPI AGApplied Sciences2076-34172025-01-0115274410.3390/app15020744Work Roles in Human–Robot Collaborative Systems: Effects on Cognitive Ergonomics for the Manufacturing IndustryPablo Segura0Odette Lobato-Calleros1Isidro Soria-Arguello2Eduardo Gamaliel Hernández-Martínez3Department of Chemical, Industrial and Food Engineering, Universidad Iberoamericana, Prolongación Paseo de la Reforma 880, Ciudad de Mexico 01219, MexicoDepartment of Chemical, Industrial and Food Engineering, Universidad Iberoamericana, Prolongación Paseo de la Reforma 880, Ciudad de Mexico 01219, MexicoDepartment of Chemical, Industrial and Food Engineering, Universidad Iberoamericana, Prolongación Paseo de la Reforma 880, Ciudad de Mexico 01219, MexicoInstituto de Investigación Aplicada y Tecnología (InIAT), Universidad Iberoamericana, Prolongación Paseo de la Reforma 880, Ciudad de Mexico 01219, MexicoHuman–robot collaborative systems have been adopted by manufacturing organizations with the objective of releasing physical workload to the human factor. However, the roles and responsibilities of human operators in these semi-automated systems have not been properly analyzed. This might carry important consequences in the cognitive dimension of ergonomics, which then contradicts the main well-being goals of collaborative work. Therefore, we designed a series of collaborative scenarios where we shifted the assignment of work responsibilities between humans and robots while executing a quality inspection task. Variations in the state of cognitive ergonomics were estimated with subjective and objective techniques via workload tests and physiological responses respectively. Furthermore, we introduced a work design framework based on 50 state-of-the-art applications for a structured implementation of human–robot collaborative systems that contemplates the underlying organizational and technological components necessary to fulfill its basic functionalities. Human operators that possessed responsibility roles over collaborative robots presented better results in terms of cognitive workload and spare mental capacity alike. In this regard, mental demand is seen as a key workload variable to consider when designing collaborative work in current manufacturing settings.https://www.mdpi.com/2076-3417/15/2/744human–robot collaborative systemscognitive ergonomicsindustry 4.0/5.0
spellingShingle Pablo Segura
Odette Lobato-Calleros
Isidro Soria-Arguello
Eduardo Gamaliel Hernández-Martínez
Work Roles in Human–Robot Collaborative Systems: Effects on Cognitive Ergonomics for the Manufacturing Industry
Applied Sciences
human–robot collaborative systems
cognitive ergonomics
industry 4.0/5.0
title Work Roles in Human–Robot Collaborative Systems: Effects on Cognitive Ergonomics for the Manufacturing Industry
title_full Work Roles in Human–Robot Collaborative Systems: Effects on Cognitive Ergonomics for the Manufacturing Industry
title_fullStr Work Roles in Human–Robot Collaborative Systems: Effects on Cognitive Ergonomics for the Manufacturing Industry
title_full_unstemmed Work Roles in Human–Robot Collaborative Systems: Effects on Cognitive Ergonomics for the Manufacturing Industry
title_short Work Roles in Human–Robot Collaborative Systems: Effects on Cognitive Ergonomics for the Manufacturing Industry
title_sort work roles in human robot collaborative systems effects on cognitive ergonomics for the manufacturing industry
topic human–robot collaborative systems
cognitive ergonomics
industry 4.0/5.0
url https://www.mdpi.com/2076-3417/15/2/744
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AT odettelobatocalleros workrolesinhumanrobotcollaborativesystemseffectsoncognitiveergonomicsforthemanufacturingindustry
AT isidrosoriaarguello workrolesinhumanrobotcollaborativesystemseffectsoncognitiveergonomicsforthemanufacturingindustry
AT eduardogamalielhernandezmartinez workrolesinhumanrobotcollaborativesystemseffectsoncognitiveergonomicsforthemanufacturingindustry