Cargando…

Assessing cognitive workloads of assembly workers during multi-task switching

Complex assembly tasks with multiple manual operations and steps often require rapid judgment and action under time pressure and cause most human-related errors. The task switching and action transitions are major sources of these errors. This study intends to implement an electroencephalography (EE...

Descripción completa

Detalles Bibliográficos
Autores principales: Ren, Bin, Zhou, Qinyu, Chen, Jiayu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10542341/
https://www.ncbi.nlm.nih.gov/pubmed/37773513
http://dx.doi.org/10.1038/s41598-023-43477-0
_version_ 1785114074944634880
author Ren, Bin
Zhou, Qinyu
Chen, Jiayu
author_facet Ren, Bin
Zhou, Qinyu
Chen, Jiayu
author_sort Ren, Bin
collection PubMed
description Complex assembly tasks with multiple manual operations and steps often require rapid judgment and action under time pressure and cause most human-related errors. The task switching and action transitions are major sources of these errors. This study intends to implement an electroencephalography (EEG) approach to quantitatively evaluate the mental workload during task switching and transition. The time–frequency and spectrum analysis were utilized to compute and reflect the task demand between the intervals of individual tasks. This study developed an experiment to validate the proposed assessment approach and benchmark the results with the National Aeronautics and Space Administration task load index (NASA-TLX) subjective evaluation scale analysis. The results show that the average value of the power spectral densities (PSDs) of the gamma band signal of the AF4 channel and the beta band signal of Channel F3 show distinctive signal patterns among task stages and intervals. During the interval between the idling stage and the part selection stage, the peak of the PSD envelope increased from 18 to 27 Hz, suggesting advanced cognition increases the mental workload of the interval between different tasks. Therefore, the task switching period cannot be regarded as rest and need to be optimized with better task organization.
format Online
Article
Text
id pubmed-10542341
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-105423412023-10-03 Assessing cognitive workloads of assembly workers during multi-task switching Ren, Bin Zhou, Qinyu Chen, Jiayu Sci Rep Article Complex assembly tasks with multiple manual operations and steps often require rapid judgment and action under time pressure and cause most human-related errors. The task switching and action transitions are major sources of these errors. This study intends to implement an electroencephalography (EEG) approach to quantitatively evaluate the mental workload during task switching and transition. The time–frequency and spectrum analysis were utilized to compute and reflect the task demand between the intervals of individual tasks. This study developed an experiment to validate the proposed assessment approach and benchmark the results with the National Aeronautics and Space Administration task load index (NASA-TLX) subjective evaluation scale analysis. The results show that the average value of the power spectral densities (PSDs) of the gamma band signal of the AF4 channel and the beta band signal of Channel F3 show distinctive signal patterns among task stages and intervals. During the interval between the idling stage and the part selection stage, the peak of the PSD envelope increased from 18 to 27 Hz, suggesting advanced cognition increases the mental workload of the interval between different tasks. Therefore, the task switching period cannot be regarded as rest and need to be optimized with better task organization. Nature Publishing Group UK 2023-09-29 /pmc/articles/PMC10542341/ /pubmed/37773513 http://dx.doi.org/10.1038/s41598-023-43477-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Ren, Bin
Zhou, Qinyu
Chen, Jiayu
Assessing cognitive workloads of assembly workers during multi-task switching
title Assessing cognitive workloads of assembly workers during multi-task switching
title_full Assessing cognitive workloads of assembly workers during multi-task switching
title_fullStr Assessing cognitive workloads of assembly workers during multi-task switching
title_full_unstemmed Assessing cognitive workloads of assembly workers during multi-task switching
title_short Assessing cognitive workloads of assembly workers during multi-task switching
title_sort assessing cognitive workloads of assembly workers during multi-task switching
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10542341/
https://www.ncbi.nlm.nih.gov/pubmed/37773513
http://dx.doi.org/10.1038/s41598-023-43477-0
work_keys_str_mv AT renbin assessingcognitiveworkloadsofassemblyworkersduringmultitaskswitching
AT zhouqinyu assessingcognitiveworkloadsofassemblyworkersduringmultitaskswitching
AT chenjiayu assessingcognitiveworkloadsofassemblyworkersduringmultitaskswitching