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面向高精度手工操作的增强现实指令设计

王卓 白晓亮 郭健 谢饶生 任志伟

王卓, 白晓亮, 郭健, 谢饶生, 任志伟. 面向高精度手工操作的增强现实指令设计[J]. 机械科学与技术, 2022, 41(2): 311-315. doi: 10.13433/j.cnki.1003-8728.20200326
引用本文: 王卓, 白晓亮, 郭健, 谢饶生, 任志伟. 面向高精度手工操作的增强现实指令设计[J]. 机械科学与技术, 2022, 41(2): 311-315. doi: 10.13433/j.cnki.1003-8728.20200326
WANG Zhuo, BAI Xiaoliang, GUO Jian, XIE Raosheng, REN Zhiwei. AR Instruction Design Oriented for High-precision Manual Operation[J]. Mechanical Science and Technology for Aerospace Engineering, 2022, 41(2): 311-315. doi: 10.13433/j.cnki.1003-8728.20200326
Citation: WANG Zhuo, BAI Xiaoliang, GUO Jian, XIE Raosheng, REN Zhiwei. AR Instruction Design Oriented for High-precision Manual Operation[J]. Mechanical Science and Technology for Aerospace Engineering, 2022, 41(2): 311-315. doi: 10.13433/j.cnki.1003-8728.20200326

面向高精度手工操作的增强现实指令设计

doi: 10.13433/j.cnki.1003-8728.20200326
基金项目: 

基于虚拟现实/增强现实的智能化辅助装配技术 MJZ-2017-G73

详细信息
    作者简介:

    王卓(1990-), 博士研究生, 研究方向为增强现实(AR), AR可视化和人机交互(HCI), wz_jd2013@163.com

    通讯作者:

    白晓亮, 副教授, 硕士生导师, 博士, bxl@nwpu.edu.cn

  • 中图分类号: TG156

AR Instruction Design Oriented for High-precision Manual Operation

  • 摘要: 在增强现实装配中, 高精度的手工任务只能由有经验的工人来完成, 其原因在于他们已经将反映操作精度的信息转化为了一系列手工操作法则。由于暂未在大脑中形成这些法则, 致使新手的操作精度不高、操作效率低下。为了描述这些法则, 本文首次阐述了面向操作精度的AR可视化定义了, 明确它与传统AR可视化在引导操作方面的区别和联系。其次, 提出了一种面向手工操作法则的增强现实指令(MicroAR)。根据传统AR和MicroAR, 分别设计了对应指令辅助新手的微装配过程。通过案例研究测试了这2个界面在物理任务下的装配时间、操作体验等方面的性能。结果表明MicroAR指令比传统AR指令能更好地提升用户的装配效率, 加深用户对于任务的认知程度。
  • 图  1  手工精度装配任务

    图  2  M-AR指令的可视化设计

    图  3  基于AR的精度装配引导系统

    图  4  AR指令的可视化接口

    表  1  T-AR与M-AR的比较

    来源 属性 T-AR M-AR
    文献[6] 几何性 零件状态 形位公差信息
    文献[7] 空间性 零件配合信息 逻辑约束信息
    本文 导航性 可视动画 逻辑约束动画
    本文 准确性 暂无 逻辑数据
    下载: 导出CSV

    表  2  7点Likert量表问卷

    Q# 评分问题
    Q1 我很享受使用当前接口的工作过程。
    Q2 使用该接口, 我能够专注于当前的任务活动。
    Q3 使用该接口, 我确信我正确地完成了任务。
    Q4 当前接口所表达的内容是自然且直观的。
    Q5 来自当前接口的信息很有帮助。
    Q6 当前接口有助于我快速地完成装配任务。
    Q7 我可以使用该接口轻易地感知预期结果。
    Q8 我能够理解当前接口所表达的消息。
    下载: 导出CSV

    表  3  Wilcoxon评分问题的秩检验结果

    Q# 1 vs 2 1 vs 3 2 vs 3
    Z p Z p Z p
    1 -3.491.008 -2.215.001 -1.241.018
    2 -2.449.013 -1.441.003 -2.141.011
    3 -3.478.011 -2.121.001 1.002.024
    4 -1.661.003 -2.216.011 -2.417.010
    5 -3.410.012 -1.612.002 -2.001.008
    6 -2.553.006 -2.458.001 -1.145.015
    7 -1.321.004 -3.103.005 -1.412.005
    8 -3.125.007 -2.725.002 -2.431.004
    下载: 导出CSV
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出版历程
  • 收稿日期:  2020-06-26
  • 刊出日期:  2022-02-25

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