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International Conference on Human-Computer Interaction

HCII 2021: HCI International 2021 - Late Breaking Posters pp 206–213Cite as

An AR-Enabled See-Through System for Vision Blind Areas

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1498))

Abstract

The manual assembly has a high proportion in industry. However, in many industrial scenarios, manual assembly in the Vision Blind Areas (VBAs) is time-consuming and challenging due to the lack of necessary visual information. This study presented a see-through Augmented Reality (AR) system to solve the problems during manual assembly in the vision blind area. This system enabled users to see the inner components of the VBAs cross the surface of mechanical products. The human hand and the mechanical part in a VBA were tracked and rendered in an AR HMD. We developed a prototype system and conducted a user study to evaluate the system usability, users’ performance and workload. The results indicated that this system was well integrated and easy to use. Moreover, participants worked with this system had a lower workload with improved performance.

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References

  1. Behzadan, A.H., Timm, B.W., Kamat, V.R.: General purpose modular hardware and software framework for mobile outdoor augmented reality applications in engineering. Adv. Eng. Inform. 22(1), 90–105 (2008)

    Article  Google Scholar 

  2. Lorenz, M., Knopp, S., Kim, J., et al.: Industrial augmented reality: 3D-content editor for augmented reality maintenance worker support system. In: 2020 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct). IEEE, Brazil (2020)

    Google Scholar 

  3. Heinrich, F., Joeres, F., Kai, L., et al.: Comparison of projective augmented reality concepts to support medical needle insertion. IEEE Trans. Vis. Comput. Graph. 25, 2157–2167 (2019)

    Article  Google Scholar 

  4. Livingston. M.A., Rosenblum, L.J., Julier, S.J., et al.: An augmented reality system for military operations in urban terrain. In: Proceedings of Interservice/Industry Training, Simulation & Education Conference 2002, Orlando (2008)

    Google Scholar 

  5. Köse, H., Güner-Yildiz, N.: Augmented reality (AR) as a learning material in special needs education. Educ. Inf. Technol. 26(2), 1921–1936 (2020). https://doi.org/10.1007/s10639-020-10326-w

    Article  Google Scholar 

  6. Wang, X., Ong, S.K., Nee, A.: Multi-modal augmented-reality assembly guidance based on bare-hand interface. Adv. Eng. Inform. 30(3), 406–421 (2016)

    Article  Google Scholar 

  7. Caudell, T.P., Mizell, D.W.: Augmented reality: an application of heads-up display technology to manual manufacturing processes. In: Hawaii International Conference on System Sciences. IEEE (1992)

    Google Scholar 

  8. Henderson, S., Feiner, S.: Exploring the benefits of augmented reality documentation for maintenance and repair. IEEE Trans. Vis. Comput. Graph. 17(10), 1355–1368 (2011)

    Article  Google Scholar 

  9. Yin, X., Fan, X., Zhu, W., et al.: Synchronous AR assembly assistance and monitoring system based on ego-centric vision. Assem. Autom. 39(1), 1–16 (2019)

    Article  Google Scholar 

  10. Jung, S., Bruder, G., Wisniewski, P.J., et al.: Over my hand: using a personalized hand in VR to improve object size estimation, body ownership, and presence. In: The Symposium. ACM, Berlin (2018)

    Google Scholar 

  11. Saurabh, Dargar, Rebecca, et al.: Haptic technology Immersive virtual reality surgical learning Surgical simulations. J, Comput. Surg. 2(2), 1–26 (2015)

    Google Scholar 

  12. Chu, C.H., Ko, C.H.: An experimental study on augmented reality assisted manual assembly with occluded components. J. Manuf. Syst. (2021)

    Google Scholar 

  13. Grochola, L.F., Soll, C., Zehnder, A., et al.: Robot-assisted single-site compared with laparoscopic single-incision cholecystectomy for benign gallbladder disease: protocol for a randomized controlled trial. BMC Surg. 17(1), 13 (2017)

    Article  Google Scholar 

  14. Brooke, J.: SUS: a quick dirty usability scale. Usability Eval. Ind. 189(1), 15 (1996)

    Google Scholar 

Download references

Acknowledgement

This work is partially supported by the National Key R&D Program of China (Grant No. 2019YFB1703800), Natural Science Basic Research Plan in Shaanxi Province of China (Grant No. 2016JM6054), the Programme of Introducing Talents of Discipline to Universities (111 Project), China (Grant No. B13044).

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Authors and Affiliations

  1. Cyber-Physical Interaction Lab, Northwestern Polytechnical University, Xi’an, 710072, People’s Republic of China

    Shaohua Zhang, Weiping He, Shuxia Wang, Shuo Feng, Zhenghang Hou & Yupeng Hu

Authors
  1. Shaohua Zhang
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  2. Weiping He
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  3. Shuxia Wang
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  4. Shuo Feng
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  5. Zhenghang Hou
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  6. Yupeng Hu
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Corresponding author

Correspondence to Weiping He .

Editor information

Editors and Affiliations

  1. University of Crete and Foundation for Research and Technology – Hellas (FORTH), Heraklion, Crete, Greece

    Constantine Stephanidis

  2. Foundation for Research and Technology – Hellas (FORTH), Heraklion, Crete, Greece

    Margherita Antona

  3. Foundation for Research and Technology – Hellas (FORTH), Heraklion, Crete, Greece

    Stavroula Ntoa

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Zhang, S., He, W., Wang, S., Feng, S., Hou, Z., Hu, Y. (2021). An AR-Enabled See-Through System for Vision Blind Areas. In: Stephanidis, C., Antona, M., Ntoa, S. (eds) HCI International 2021 - Late Breaking Posters. HCII 2021. Communications in Computer and Information Science, vol 1498. Springer, Cham. https://doi.org/10.1007/978-3-030-90176-9_28

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  • DOI: https://doi.org/10.1007/978-3-030-90176-9_28

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-90175-2

  • Online ISBN: 978-3-030-90176-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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