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基于时间-多资源占用的工作负荷评估模型

田书婕 王波 王丽 续丹

田书婕, 王波, 王丽, 等 . 基于时间-多资源占用的工作负荷评估模型[J]. 北京航空航天大学学报, 2017, 43(12): 2497-2504. doi: 10.13700/j.bh.1001-5965.2016.0896
引用本文: 田书婕, 王波, 王丽, 等 . 基于时间-多资源占用的工作负荷评估模型[J]. 北京航空航天大学学报, 2017, 43(12): 2497-2504. doi: 10.13700/j.bh.1001-5965.2016.0896
TIAN Shujie, WANG Bo, WANG Li, et al. Workload evaluation model based on occupation of time and multi-resource[J]. Journal of Beijing University of Aeronautics and Astronautics, 2017, 43(12): 2497-2504. doi: 10.13700/j.bh.1001-5965.2016.0896(in Chinese)
Citation: TIAN Shujie, WANG Bo, WANG Li, et al. Workload evaluation model based on occupation of time and multi-resource[J]. Journal of Beijing University of Aeronautics and Astronautics, 2017, 43(12): 2497-2504. doi: 10.13700/j.bh.1001-5965.2016.0896(in Chinese)

基于时间-多资源占用的工作负荷评估模型

doi: 10.13700/j.bh.1001-5965.2016.0896
基金项目: 

人因工程重点实验室基金 SYFD130061813

人因工程重点实验室基金 160051812

“十三五”装备预研共用技术基金 41402060101

载人航天四批预研基金 030602

详细信息
    作者简介:

    田书婕 女, 硕士研究生。主要研究方向:维修工效、先进人机交互

    王波 男, 硕士, 助理研究员。主要研究方向:航天人因、智能计算、体系研究

    通讯作者:

    王波, E-mail: wowbob@139.com

  • 中图分类号: R857.1;B842.1

Workload evaluation model based on occupation of time and multi-resource

Funds: 

Foundation of National Key Laboratory of Human Factors Engineering SYFD130061813

Foundation of National Key Laboratory of Human Factors Engineering 160051812

The"13th Five-Year" Equipment Pre-research Fundation on Common Technology 41402060101

Manned Space Pre-research Foundation 030602

More Information
  • 摘要:

    为了测量和评估航天员在轨维修的工作负荷,在时间线分析法和多资源占用理论的基础上,确定了用间接获取的资源需求占用率、直接测量的占用时间2个维度来进行工作负荷主客观综合评估,并提出基于动态时间窗口的时间-多资源占用的工作负荷评估模型。为了验证模型的有效性,搭建典型在轨维修任务——液体回路子系统的维修试验环境,招募被试,获取主观工作负荷数据,进行维修视频采集和动素时间测定。结果表明,本文模型的工作负荷值与主观工作负荷评估值显著相关且吻合较好,验证了其有效性。

     

  • 图 1  动素-时间窗分解

    Figure 1.  Decomposition of therbligs-time-window

    图 2  OWL量表[18]

    Figure 2.  OWL scale[18]

    图 3  VACP量表示意图

    Figure 3.  Schematic of VACP scale

    图 4  试验流程

    Figure 4.  Steps of test

    图 5  TMR模型与OWL量表的对比

    Figure 5.  Comparison between TMR model and OWL scale

    图 6  TAWL模型、时间线分析模型、TMR模型与OWL量表的对比

    Figure 6.  Comparison among TAWL, timeline analysis, TMR model and OWL scale

    表  1  VACP标准量表[19]

    Table  1.   Standard values of VACP scale[19]

    通道 评分 描述
    视觉(Visual) 0 不存在视觉
    1 视觉检测
    3.7 视觉辨别
    4.0 视觉检查、核对
    5.0 视觉对齐、定位
    5.4 视觉追踪、跟随
    5.9 视觉阅读
    7 视觉扫描、搜索、监控
    听觉(Auditory) 0 不存在听觉
    1 听觉检测
    2 确定声音的方向
    4.2 确定声音的方位
    4.3 验证听觉的反馈
    4.9 解释语义的内容
    6.6 分辨声音的特点
    7 解释声音的模式
    认知(Cognitive) 0 不存在认知
    1 没有意识的行为
    1.2 选择
    3.7 符号、信号的识别
    4.6 评估与判断(只考虑单方面)
    5.3 编码、解码、回忆
    6.8 评估与判断(综合考虑多方面)
    7 评估、计算、换算
    运动(Psychomotor) 0 不存在运动
    1 说话
    2.2 离散的行为(按按钮、开关等)
    2.6 连续调整
    4.6 手动操纵
    5.8 离散的调节(转动旋钮、调整等)
    6.5 符号产生(书写)
    7 序列离散的手动操纵(键盘输入)
    下载: 导出CSV

    表  2  VACP评定值与等级的映射关系

    Table  2.   Mapping relationship between VACPevaluation values and ranks

    等级
    赋值 0 0.42 0.83 1.25
    评定值 0 1~3 3~5 5~7
    下载: 导出CSV

    表  3  OWL/TMR/TAWL/时间线分析结果

    Table  3.   Results of OWL/TMR/TAWL/timeline-analysis

    时间/s 工作负荷
    OWL TMR模型 TAWL模型 时间线分析模型
    0 24.17 7.65 9.60 10.07
    300 62.50 109.36 141.13 97.98
    600 85.83 117.45 109.67 106.35
    900 82.92 111.11 185.00 101.62
    1 200 81.25 124.39 98.47 95.95
    1 500 59.58 36.84 69.07 86.48
    1 730 92.50 80.14 118.43 65.51
    下载: 导出CSV

    表  4  整体工作负荷与各个通道工作负荷的相关性分析

    Table  4.   Correlation analysis between total workload and workload of each channel

    多通道 W与V W与A W与C W与P
    相关性 0.89 0.179 0.98 0.91
    下载: 导出CSV

    表  5  各个通道工作负荷之间的相关性分析

    Table  5.   Correlation analysis between workload of each channel

    多通道 V与A V与C V与P A与C A与P C与P
    相关性 0.24 0.93 0.63 0.07 0.08 0.85
    下载: 导出CSV
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出版历程
  • 收稿日期:  2016-11-28
  • 录用日期:  2017-03-06
  • 刊出日期:  2017-12-20

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