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HA[Formula: see text] bot: a human-centered augmented reality robot programming method with the awareness of cognitive load

In the era of Industry 4.0, manufacturing enterprises are actively adopting collaborative robots (Cobots) in their productions. Current online and offline robot programming methods are difficult to use and require extensive experience or skills. On the other hand, the manufacturing industries are ex...

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Detalles Bibliográficos
Autores principales: Yang, Wenhao, Xiao, Qinqin, Zhang, Yunbo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10029803/
https://www.ncbi.nlm.nih.gov/pubmed/37361336
http://dx.doi.org/10.1007/s10845-023-02096-2
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author Yang, Wenhao
Xiao, Qinqin
Zhang, Yunbo
author_facet Yang, Wenhao
Xiao, Qinqin
Zhang, Yunbo
author_sort Yang, Wenhao
collection PubMed
description In the era of Industry 4.0, manufacturing enterprises are actively adopting collaborative robots (Cobots) in their productions. Current online and offline robot programming methods are difficult to use and require extensive experience or skills. On the other hand, the manufacturing industries are experiencing a labor shortage. An essential question, therefore, is: how would a new robot programming method help novice users complete complex tasks effectively, efficiently, and intuitively? To answer this question, we proposed HA[Formula: see text] bot, a novel human-centered augmented reality programming interface with awareness of cognitive load. Using NASA’s system design theory and the cognitive load theory, a set of guidelines for designing an AR-based human-robot interaction system is obtained through a human-centered design process. Based on these guidelines, we designed and implemented a human-in-the-loop workflow with features for cognitive load management. The effectiveness and efficiency of HA[Formula: see text] bot are verified in two complex tasks compared with existing online programming methods. We also evaluated HA[Formula: see text] bot quantitatively and qualitatively through a user study with 16 participants. According to the user study, compared with existing methods, HA[Formula: see text] bot has higher efficiency, a lower overall cognitive load, lower cognitive loads for each type, and higher safety.
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spelling pubmed-100298032023-03-21 HA[Formula: see text] bot: a human-centered augmented reality robot programming method with the awareness of cognitive load Yang, Wenhao Xiao, Qinqin Zhang, Yunbo J Intell Manuf Article In the era of Industry 4.0, manufacturing enterprises are actively adopting collaborative robots (Cobots) in their productions. Current online and offline robot programming methods are difficult to use and require extensive experience or skills. On the other hand, the manufacturing industries are experiencing a labor shortage. An essential question, therefore, is: how would a new robot programming method help novice users complete complex tasks effectively, efficiently, and intuitively? To answer this question, we proposed HA[Formula: see text] bot, a novel human-centered augmented reality programming interface with awareness of cognitive load. Using NASA’s system design theory and the cognitive load theory, a set of guidelines for designing an AR-based human-robot interaction system is obtained through a human-centered design process. Based on these guidelines, we designed and implemented a human-in-the-loop workflow with features for cognitive load management. The effectiveness and efficiency of HA[Formula: see text] bot are verified in two complex tasks compared with existing online programming methods. We also evaluated HA[Formula: see text] bot quantitatively and qualitatively through a user study with 16 participants. According to the user study, compared with existing methods, HA[Formula: see text] bot has higher efficiency, a lower overall cognitive load, lower cognitive loads for each type, and higher safety. Springer US 2023-03-21 /pmc/articles/PMC10029803/ /pubmed/37361336 http://dx.doi.org/10.1007/s10845-023-02096-2 Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Yang, Wenhao
Xiao, Qinqin
Zhang, Yunbo
HA[Formula: see text] bot: a human-centered augmented reality robot programming method with the awareness of cognitive load
title HA[Formula: see text] bot: a human-centered augmented reality robot programming method with the awareness of cognitive load
title_full HA[Formula: see text] bot: a human-centered augmented reality robot programming method with the awareness of cognitive load
title_fullStr HA[Formula: see text] bot: a human-centered augmented reality robot programming method with the awareness of cognitive load
title_full_unstemmed HA[Formula: see text] bot: a human-centered augmented reality robot programming method with the awareness of cognitive load
title_short HA[Formula: see text] bot: a human-centered augmented reality robot programming method with the awareness of cognitive load
title_sort ha[formula: see text] bot: a human-centered augmented reality robot programming method with the awareness of cognitive load
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10029803/
https://www.ncbi.nlm.nih.gov/pubmed/37361336
http://dx.doi.org/10.1007/s10845-023-02096-2
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