Mental Workload of Local vs Remote Operator in Human-Machine Interaction Case Study

Author:

Zimmer Melanie1,Al-Yacoub Ali1,Ferreira Pedro1,Hubbard Ella-Mae1,Lohse Niels1

Affiliation:

1. Loughborough University, Intelligent Automation Centre, Epinal Way, Loughborough LE11 3TU, UK

Abstract

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.

Publisher

IOS Press

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Experimental study to investigate mental workload of local vs remote operator in human-machine interaction;Production & Manufacturing Research;2022-06-21

2. Mental Workload Assessment in Construction Industry with Fuzzy NASA-TLX Method;Proceedings of the Sixteenth International Conference on Management Science and Engineering Management – Volume 2;2022

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