UX in AR-Supported Industrial Human–Robot Collaborative Tasks: A Systematic Review
The fourth industrial revolution is promoting the Operator 4.0 paradigm, originating from a renovated attention towards human factors, growingly involved in the design of modern, human-centered processes. New technologies, such as augmented reality or collaborative robotics are thus increasingly stu...
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MDPI AG
2021
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oai:doaj.org-article:ca2b9257c7c94ad7af92deb24fb724c12021-11-11T15:24:17ZUX in AR-Supported Industrial Human–Robot Collaborative Tasks: A Systematic Review10.3390/app1121104482076-3417https://doaj.org/article/ca2b9257c7c94ad7af92deb24fb724c12021-11-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/21/10448https://doaj.org/toc/2076-3417The fourth industrial revolution is promoting the Operator 4.0 paradigm, originating from a renovated attention towards human factors, growingly involved in the design of modern, human-centered processes. New technologies, such as augmented reality or collaborative robotics are thus increasingly studied and progressively applied to solve the modern operators’ needs. Human-centered design approaches can help to identify user’s needs and functional requirements, solving usability issues, or reducing cognitive or physical stress. The paper reviews the recent literature on augmented reality-supported collaborative robotics from a human-centered perspective. To this end, the study analyzed 21 papers selected after a quality assessment procedure and remarks the poor adoption of user-centered approaches and methodologies to drive the development of human-centered augmented reality applications to promote an efficient collaboration between humans and robots. To remedy this deficiency, the paper ultimately proposes a structured framework driven by User eXperience approaches to design augmented reality interfaces by encompassing previous research works. Future developments are discussed, stimulating fruitful reflections and a decisive standardization process.Riccardo Karim KhamaisiElisa PratiMargherita PeruzziniRoberto RaffaeliMarcello PellicciariMDPI AGarticleUser eXperiencehuman–robot interactionhuman–robot collaborationhuman-centered designaugmented realityhuman factorsTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 10448, p 10448 (2021) |
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User eXperience human–robot interaction human–robot collaboration human-centered design augmented reality human factors Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 |
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User eXperience human–robot interaction human–robot collaboration human-centered design augmented reality human factors Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 Riccardo Karim Khamaisi Elisa Prati Margherita Peruzzini Roberto Raffaeli Marcello Pellicciari UX in AR-Supported Industrial Human–Robot Collaborative Tasks: A Systematic Review |
description |
The fourth industrial revolution is promoting the Operator 4.0 paradigm, originating from a renovated attention towards human factors, growingly involved in the design of modern, human-centered processes. New technologies, such as augmented reality or collaborative robotics are thus increasingly studied and progressively applied to solve the modern operators’ needs. Human-centered design approaches can help to identify user’s needs and functional requirements, solving usability issues, or reducing cognitive or physical stress. The paper reviews the recent literature on augmented reality-supported collaborative robotics from a human-centered perspective. To this end, the study analyzed 21 papers selected after a quality assessment procedure and remarks the poor adoption of user-centered approaches and methodologies to drive the development of human-centered augmented reality applications to promote an efficient collaboration between humans and robots. To remedy this deficiency, the paper ultimately proposes a structured framework driven by User eXperience approaches to design augmented reality interfaces by encompassing previous research works. Future developments are discussed, stimulating fruitful reflections and a decisive standardization process. |
format |
article |
author |
Riccardo Karim Khamaisi Elisa Prati Margherita Peruzzini Roberto Raffaeli Marcello Pellicciari |
author_facet |
Riccardo Karim Khamaisi Elisa Prati Margherita Peruzzini Roberto Raffaeli Marcello Pellicciari |
author_sort |
Riccardo Karim Khamaisi |
title |
UX in AR-Supported Industrial Human–Robot Collaborative Tasks: A Systematic Review |
title_short |
UX in AR-Supported Industrial Human–Robot Collaborative Tasks: A Systematic Review |
title_full |
UX in AR-Supported Industrial Human–Robot Collaborative Tasks: A Systematic Review |
title_fullStr |
UX in AR-Supported Industrial Human–Robot Collaborative Tasks: A Systematic Review |
title_full_unstemmed |
UX in AR-Supported Industrial Human–Robot Collaborative Tasks: A Systematic Review |
title_sort |
ux in ar-supported industrial human–robot collaborative tasks: a systematic review |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/ca2b9257c7c94ad7af92deb24fb724c1 |
work_keys_str_mv |
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