Experimental study to investigate mental workload of local vs remote operator in human-machine interaction

Melanie Zimmer, Ali Al-Yacoub*, Pedro Ferreira, Ella Mae Hubbard, Niels Lohse

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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Abstract

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.

Original languageEnglish
Pages (from-to)410-427
Number of pages18
JournalProduction and Manufacturing Research
Volume10
Issue number1
Early online date21 Jun 2022
DOIs
Publication statusPublished - 31 Dec 2022

Bibliographical note

Publisher Copyright:
© 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

Keywords

  • ergonomics
  • Human-machine interaction
  • Mental workload
  • NASA-TLX
  • remote working
  • RTLX

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

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