Experimental study to investigate mental workload of local vs remote operator in human-machine interaction
A new Coronavirus disease 2019 has spread globally since 2019. Consequently, businesses from different sectors were forced to work remotely. At the same time, research in this area has seen a rise in studying and emerging technologies that allow and promote such a remote working style; not every sector is equipped for such a transition. The manufacturing sector especially, has faced challenges in this respect. This paper investigates the mental workload (MWL) of two groups of participants through a human-machine interaction task. Participants were required to bring a robotised cell to full production by tuning system and dispensing process parameters. Following the experiment, a self-assessment of the participants’ perceived MWL using the raw NASA Task Load Index (RTLX) was collected. The results reveal that remote participants tend to have a lower perceived workload compared to the local participants, but mental demand was deemed higher while performance was rated lower.
Funding
EPSRC Centre for Doctoral Training in Embedded Intelligence
Engineering and Physical Sciences Research Council
Find out more...History
School
- Mechanical, Electrical and Manufacturing Engineering
Published in
Production & Manufacturing ResearchVolume
10Issue
1Pages
410 - 427Publisher
Taylor & FrancisVersion
- VoR (Version of Record)
Rights holder
© The AuthorsPublisher statement
This is an Open Access Article. It is published by Taylor & Francis under the Creative Commons Attribution 4.0 International Licence (CC BY). Full details of this licence are available at: https://creativecommons.org/licenses/by/4.0/Acceptance date
2022-06-10Publication date
2022-06-21Copyright date
2022eISSN
2169-3277Publisher version
Language
- en