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IJIET 2019 Vol.9(1): 56-60 ISSN: 2010-3689
doi: 10.18178/ijiet.2019.9.1.1173

The Application of AR Technology to Spatial Skills Learning in Carpentry Training

I-Jui Lee, Ting-Chun Hsu, Ten-Li Chen, and Meng-Cong Zheng

Abstract—Furniture carpentry requires plentiful cognitive judgements of views and capability of spatial understanding. For beginners, the idea of spatial geometry in mortice-tenon structure is often hard to comprehend, and being restricted by traditional 2D graphic, lacking basic 3D spatial concept. Yet augmented reality (AR) has already been proven to be capable of geometry training and enhancing conceptual manifestations of 3D space. Through combination of solid controller and virtual 3D subject of AR, dual feedbacks in both senses of touch and vision, this study aims at enhancing beginners’ spatial skills in the making of furniture carpentry and further the improvement of carpentry skills. After experiments of each phase, evaluations are done through questionnaires and experts’ observations on furniture works. It has proven that AR technique can truly and efficiently solve the perspective problems in complicated and implicit structure and spatial obstacles in furniture carpentry learning for beginners.

Index Terms—Augmented reality, carpentry, geometry learning, implicit structure, spatial skills.

The authors are with the National Taipei University of Technology, Taipei, Taiwan (Corresponding Author: I-Jui Lee and Ting-Chun Hsu; e-mail: ericlee@ntut.edu.tw, hsu1030@gmail.com, chentl@ntut.edu.tw, zmcdesign@gmail.com).


Cite: I-Jui Lee, Ting-Chun Hsu, Ten-Li Chen, and Meng-Cong Zheng, "The Application of AR Technology to Spatial Skills Learning in Carpentry Training," International Journal of Information and Education Technology vol. 9, no. 1, pp. 56-60, 2019.

General Information

  • ISSN: 2010-3689 (Online)
  • Abbreviated Title: Int. J. Inf. Educ. Technol.
  • Frequency: Monthly
  • DOI: 10.18178/IJIET
  • Editor-in-Chief: Prof. Dr. Steve Thatcher
  • Executive Editor: Ms. Nancy Y. Liu
  • Abstracting/ Indexing: Scopus (CiteScore 2022: 2.0), INSPEC (IET), UGC-CARE List (India), CNKI, EBSCO, Google Scholar
  • E-mail: ijiet@ejournal.net


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