Micro-information-level AR instruction: a new visual representation supporting manual classification of similar assembly parts

Zhuo Wang, Yang Wang, Xiaoliang Bai, Shusheng Zhang, Weiping He, Xiangyu Zhang, Shu Han, Yuxiang Yan

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

In AR operation guidance training, for assembly parts with similar geometric shapes, there are still two problems in the visual representation of AR instructions: (1) AR instructions cannot accurately represent the micro-geometric differences between similar parts. (2) The AR instruction design specification that reflects the micro-geometric differences of similar parts has not been formulated. Based on such a problem, our team has carried out the following research work: First, the geometric features of parts are defined at the micro-geometric level and micro-information level, thereby explaining the relationships and differences between similar part features. From the above two levels. Secondly, a mathematical model of the geometric features of the parts is established, and the control parameters in the model are given to characterize the feature differences between similar parts. To verify the accuracy of the control parameters, we designed three AR instructions based on the control parameters and verified them through five hypotheses. Our team then analyzed the data from a case study and focused our discussion on test results that did not meet expectations. We have a more in-depth discussion by comparing the differences and analyzing the results. Finally, three implications of AR instructions in representing feature differences between similar parts are given, and future research directions for such work are indicated. It is provided guidance for future research.

Original languageEnglish
Pages (from-to)11589-11618
Number of pages30
JournalMultimedia Tools and Applications
Volume82
Issue number8
DOIs
StatePublished - Mar 2023
Externally publishedYes

Keywords

  • Assembly instruction
  • Augmented reality
  • Manual classification
  • Visual representation

Fingerprint

Dive into the research topics of 'Micro-information-level AR instruction: a new visual representation supporting manual classification of similar assembly parts'. Together they form a unique fingerprint.

Cite this