{"title":"人机系统自动化程度对操作员心理负担的影响","authors":"Qingyang Huang , Mingyang Guo , Yuning Wei , Jingyuan Zhang , Fang Xie , Xiaoping Jin","doi":"10.1016/j.jsasus.2023.12.001","DOIUrl":null,"url":null,"abstract":"<div><p>The appropriate automation in armored vehicles is vital for the operational efficiency and personnel security of operators. In this study, fifty subjects conducted over-the-horizon strike and N-back tests at different automation levels based on a virtual simulation system for armored vehicles. Physiological signals and subjective assessments were recorded. The mental load and task performance of operators were related to different automation levels. Results suggested that the mental load decreased with the increase of automation levels. Apart from object destruction time, heart rate and standard deviation of NN intervals (SDNN), other indexes were all significantly affected by the automation level of subtasks (p < 0.01). The NASA-TLX scores, object destruction time, response time of abnormal states, and reaction time in N-back tests decreased by at least 2.9 %, 8.2 %, 11.2 % and 1.3 % respectively, while the mean accuracy in N-back tests increased by 0.1 %. Furthermore, there existed several automation levels of tasks where the task performance remained almost unchanged under normal operation. The function of task automation on decreasing mental load reduced in the following order: A3-B3-C2-D2-E2, A2-B2-C2-D2-E2, and A3-B3-C1-D1-E1. The main contribution of this research was to provide a qualitative method and framework for the evaluation of influences of automation level on operators’ mental load, and the design of human-machine interaction and adaptive automation in automated systems.</p></div>","PeriodicalId":100831,"journal":{"name":"Journal of Safety and Sustainability","volume":"1 1","pages":"Pages 42-52"},"PeriodicalIF":0.0000,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949926723000069/pdfft?md5=32eb6a4016d147e6ae4221dee814732b&pid=1-s2.0-S2949926723000069-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Influence of automation level of human-machine system on operators’ mental load\",\"authors\":\"Qingyang Huang , Mingyang Guo , Yuning Wei , Jingyuan Zhang , Fang Xie , Xiaoping Jin\",\"doi\":\"10.1016/j.jsasus.2023.12.001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The appropriate automation in armored vehicles is vital for the operational efficiency and personnel security of operators. In this study, fifty subjects conducted over-the-horizon strike and N-back tests at different automation levels based on a virtual simulation system for armored vehicles. Physiological signals and subjective assessments were recorded. The mental load and task performance of operators were related to different automation levels. Results suggested that the mental load decreased with the increase of automation levels. Apart from object destruction time, heart rate and standard deviation of NN intervals (SDNN), other indexes were all significantly affected by the automation level of subtasks (p < 0.01). The NASA-TLX scores, object destruction time, response time of abnormal states, and reaction time in N-back tests decreased by at least 2.9 %, 8.2 %, 11.2 % and 1.3 % respectively, while the mean accuracy in N-back tests increased by 0.1 %. Furthermore, there existed several automation levels of tasks where the task performance remained almost unchanged under normal operation. The function of task automation on decreasing mental load reduced in the following order: A3-B3-C2-D2-E2, A2-B2-C2-D2-E2, and A3-B3-C1-D1-E1. The main contribution of this research was to provide a qualitative method and framework for the evaluation of influences of automation level on operators’ mental load, and the design of human-machine interaction and adaptive automation in automated systems.</p></div>\",\"PeriodicalId\":100831,\"journal\":{\"name\":\"Journal of Safety and Sustainability\",\"volume\":\"1 1\",\"pages\":\"Pages 42-52\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2949926723000069/pdfft?md5=32eb6a4016d147e6ae4221dee814732b&pid=1-s2.0-S2949926723000069-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Safety and Sustainability\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2949926723000069\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Safety and Sustainability","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2949926723000069","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
装甲车辆的适当自动化对操作员的操作效率和人员安全至关重要。在这项研究中,50 名受试者在装甲车辆虚拟仿真系统的基础上进行了不同自动化水平的超视距打击和 N-后退测试。对生理信号和主观评价进行了记录。操作员的心理负荷和任务表现与不同的自动化水平有关。结果表明,随着自动化水平的提高,心理负荷也随之降低。除物体破坏时间、心率和 NN 间隔标准偏差(SDNN)外,其他指标均受到子任务自动化水平的显著影响(p < 0.01)。N-back测试中的NASA-TLX得分、物体破坏时间、异常状态反应时间和反应时间分别减少了至少2.9%、8.2%、11.2%和1.3%,而N-back测试的平均准确率则增加了0.1%。此外,在一些自动化程度较高的任务中,正常操作下的任务表现几乎保持不变。任务自动化对降低心理负荷的作用按以下顺序降低:A3-B3-C2-D2-E2、A2-B2-C2-D2-E2 和 A3-B3-C1-D1-E1。本研究的主要贡献在于提供了一种定性方法和框架,用于评估自动化水平对操作员精神负担的影响,以及设计自动化系统中的人机交互和自适应自动化。
Influence of automation level of human-machine system on operators’ mental load
The appropriate automation in armored vehicles is vital for the operational efficiency and personnel security of operators. In this study, fifty subjects conducted over-the-horizon strike and N-back tests at different automation levels based on a virtual simulation system for armored vehicles. Physiological signals and subjective assessments were recorded. The mental load and task performance of operators were related to different automation levels. Results suggested that the mental load decreased with the increase of automation levels. Apart from object destruction time, heart rate and standard deviation of NN intervals (SDNN), other indexes were all significantly affected by the automation level of subtasks (p < 0.01). The NASA-TLX scores, object destruction time, response time of abnormal states, and reaction time in N-back tests decreased by at least 2.9 %, 8.2 %, 11.2 % and 1.3 % respectively, while the mean accuracy in N-back tests increased by 0.1 %. Furthermore, there existed several automation levels of tasks where the task performance remained almost unchanged under normal operation. The function of task automation on decreasing mental load reduced in the following order: A3-B3-C2-D2-E2, A2-B2-C2-D2-E2, and A3-B3-C1-D1-E1. The main contribution of this research was to provide a qualitative method and framework for the evaluation of influences of automation level on operators’ mental load, and the design of human-machine interaction and adaptive automation in automated systems.