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Selecting successful harvester operators through aptitude tests and demographics
Australian Forestry ( IF 2.1 ) Pub Date : 2021-02-22 , DOI: 10.1080/00049158.2020.1837492
K. Schwegman 1 , R. Spinelli 2 , N. Magagnotti 2 , M. Ramantswana 1 , A. McEwan 1
Affiliation  

ABSTRACT

Simulators are used worldwide for various applications in different industries (e.g. aviation and medicine), generally to train prospective operators for actual work situations. The forest industry is no exception, with numerous studies – mostly in countries such as Finland, Norway, Switzerland and the United States of America – showing that simulator-based training has many advantages, especially for fast and inexpensive learning. Little information is available, however, relating to the pre-selection of harvesting operators prior to simulator-based training. The aim of this study was to determine whether harvesting simulators could be used in conjunction with the Vienna Test System to identify potential harvesting operators. A mixed methods approach (quantitative work study data and qualitative questionnaire data) was used to determine differences among 14 volunteer participants, each of which spent a total of ten hours using the simulator. After completing demographic questionnaires, participants used the Vienna Test System. The test is designed to measure hand–eye coordination, the ability to concentrate for long periods, and the participant’s cognitrone, and it is used in the mining industry as a pre-selection tool for heavy machine operators. Preliminary results show that the Vienna Test System was able to pre-identify individuals who are fast and productive. Many studies have indicated that effective and efficient operators require these abilities and more. Learning improved at different rates among participants over the ten hours spent on the simulator.



中文翻译:

通过能力测试和人口统计数据选择成功的收割机操作员

摘要

模拟器在全球范围内用于不同行业(例如航空和医学)的各种应用,通常用于培训准操作员以了解实际的工作情况。林业行业也不例外,进行了许多研究(主要是在芬兰,挪威,瑞士和美利坚合众国等国家进行的研究)表明,基于模拟器的培训具有很多优势,尤其是对于快速而廉价的学习而言。但是,在基于模拟器的培训之前,很少有信息与收割操作员的预选有关。这项研究的目的是确定是否可以将收割模拟器与Vienna Test System一起使用,以识别潜在的收割者。使用混合方法(定量工作研究数据和定性问卷数据)来确定14位志愿者参与者之间的差异,每个参与者使用模拟器总共花费了10个小时。在完成人口统计调查表后,参与者使用了维也纳测试系统。该测试旨在测量手眼协调性,长期专注能力以及参与者的齿轮硝化氮,并在采矿业中用作重型机械操作员的预选工具。初步结果表明,维也纳测试系统能够预先确定快速高效的个人。许多研究表明,高效的操作员需要这些能力,甚至更多。在模拟器上花费的十个小时内,参与者的学习速度有所不同。

更新日期:2021-03-15
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