Experimental study to investigate mental workload of local vs remote operator in human-machine interaction
| Autor: | Melanie Zimmer, Ali Al-Yacoub, Pedro Ferreira, Ella-Mae Hubbard, Niels Lohse |
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| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | Production and Manufacturing Research: An Open Access Journal, Vol 10, Iss 1, Pp 410-427 (2022) |
| Druh dokumentu: | article |
| ISSN: | 21693277 2169-3277 |
| DOI: | 10.1080/21693277.2022.2090458 |
| Popis: | 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. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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