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Mental workload of local vs remote operator in human-machine interaction case study

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conference contribution
posted on 2021-09-17, 10:13 authored by Melanie Zimmer, Ali Al-Yacoub, Pedro FerreiraPedro Ferreira, Ella-Mae HubbardElla-Mae Hubbard, Niels LohseNiels Lohse
Since late 2019, a novel Coronavirus disease 2019 (COVID-19) has spread globally. As a result, businesses were forced to send their workforce into remote working, wherever possible. While research in this area has seen an increase in studying and developing technologies that allow and support such remote working style, not every sector is currently prepared for such a transition. Especially the manufacturing sector has faced challenges in this regard. In this paper, the mental workload of two groups of participants is studied during a human-robot interaction task. Participants were asked to bring a robotised cell used in a dispensing task to full production by tuning system parameters. After the experiment, a self-assessment of the participants’ perceived mental workload using the NASA Task Load Index (NASA-TLX) was used. The results show that remote participants tend to have lower perceived workload compared to the local participants.


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  • Mechanical, Electrical and Manufacturing Engineering

Published in

Advances in Manufacturing Technology XXXIV. Proceedings of the 18th International Conference on Manufacturing Research, incorporating the 35th National Conference on Manufacturing Research, 7-10 September 2021, University of Derby, Derby, UK




18th International Conference in Manufacturing Research (ICMR 2021)


IOS Press


  • VoR (Version of Record)

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© The Authors

Publisher statement

This is an Open Access Article. It is published by IOS Press under the Creative Commons Attribution-Non Commercial 4.0 International Licence (CC BY-NC). Full details of this licence are available at: https://creativecommons.org/licenses/by-nc/4.0/

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9781643681986; 9781643681993

Book series

Advances in Transdisciplinary Engineering. Volume 15: Advances in Manufacturing Technology XXXIV


  • en


Derby, UK (Virtual)

Event dates

7th September 2021 - 10th September 2021


Dr Ali Al-Yacoub. Deposit date: 5 June 2021

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