Learning Curves of Harvester Operators in a Simulator Environment

cris.lastimport.scopus2025-10-23T06:56:02Z
cris.virtual.author-orcid0000-0003-2055-9568
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cris.virtualsource.author-orcid081b850b-1303-4a35-9241-1e7575031833
cris.virtualsource.author-orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
dc.abstract.enSimulator training helps provide safe and cost-effective training for operators of modern forestry machines that require high motor skills, constant concentration, and proper planning. The aim of the study was to analyze the learning curves of the trainees in order to determine the period during which most development takes place. In this study, 11 trainees were trained on a John Deere harvester simulator for approximately 15 h each. In each case, a clear learning curve could be identified, despite high inter- and intra-person variability. Effective time showed a steady decrease during training, with a group minimum at the end of training (1.25 min). Crane tip distance per tree dropped rapidly in the first 3–4 h, followed by a more gradual decrease to reach a minimum of 23.8 m. Crane control showed a significant increase from an initial 0.63 to a maximum of 0.8 by the 9th hour of training. A number of crane functions used simultaneously increased more rapidly to almost a maximum value (1.8) already in the 5th hour. The individual curves for each trainee were highly variable, showing a wide range of values and shapes. In conclusion, most personal development occurs during the first phase of simulator training, which typically takes approximately 9–10 h. It is important to consider significant inter-personal variability and tailor the duration of simulator training to individual needs.
dc.affiliationWydział Leśny i Technologii Drewna
dc.affiliation.instituteKatedra Ekonomiki i Techniki Leśnej
dc.contributor.authorPolowy, Krzysztof
dc.contributor.authorRutkowski, Dariusz
dc.date.access2024-10-17
dc.date.accessioned2024-10-29T10:48:42Z
dc.date.available2024-10-29T10:48:42Z
dc.date.copyright2024-07-23
dc.date.issued2024
dc.description.abstract<jats:p>Simulator training helps provide safe and cost-effective training for operators of modern forestry machines that require high motor skills, constant concentration, and proper planning. The aim of the study was to analyze the learning curves of the trainees in order to determine the period during which most development takes place. In this study, 11 trainees were trained on a John Deere harvester simulator for approximately 15 h each. In each case, a clear learning curve could be identified, despite high inter- and intra-person variability. Effective time showed a steady decrease during training, with a group minimum at the end of training (1.25 min). Crane tip distance per tree dropped rapidly in the first 3–4 h, followed by a more gradual decrease to reach a minimum of 23.8 m. Crane control showed a significant increase from an initial 0.63 to a maximum of 0.8 by the 9th hour of training. A number of crane functions used simultaneously increased more rapidly to almost a maximum value (1.8) already in the 5th hour. The individual curves for each trainee were highly variable, showing a wide range of values and shapes. In conclusion, most personal development occurs during the first phase of simulator training, which typically takes approximately 9–10 h. It is important to consider significant inter-personal variability and tailor the duration of simulator training to individual needs.</jats:p>
dc.description.accesstimeat_publication
dc.description.bibliographyil., bibliogr.
dc.description.financepublication_nocost
dc.description.financecost0,00
dc.description.if2,4
dc.description.number8
dc.description.points100
dc.description.versionfinal_published
dc.description.volume15
dc.identifier.doi10.3390/f15081277
dc.identifier.issn1999-4907
dc.identifier.urihttps://sciencerep.up.poznan.pl/handle/item/1953
dc.identifier.weblinkhttps://www.mdpi.com/1999-4907/15/8/1277
dc.languageen
dc.relation.ispartofForests
dc.relation.pagesart. 1277
dc.rightsCC-BY
dc.sciencecloudsend
dc.share.typeOPEN_JOURNAL
dc.subject.envocational training
dc.subject.enskills development
dc.subject.enforest operations
dc.subject.enforest utilization
dc.subject.enforestry crane
dc.titleLearning Curves of Harvester Operators in a Simulator Environment
dc.typeJournalArticle
dspace.entity.typePublication
oaire.citation.issue8
oaire.citation.volume15