Skip to main content

Is Industrial Tomography Ready for Augmented Reality? A Need-Finding Study of How Augmented Reality Can Be Adopted by Industrial Tomography Experts

  • Conference paper
  • First Online:
Virtual, Augmented and Mixed Reality (HCII 2023)

Abstract

Augmented Reality (AR) has grown into a well-established technique with a compelling potential for interactive visualization. In spite of its clear potential, this novel tool has not yet been widely embraced as an industrial solution. In this paper, we address AR for a specific domain: industrial tomography. Within this domain, we conducted a need-finding study featuring 14 surveyed participants, each with sufficient years of experience. A systematic survey study was designed as the main body of our approach. Using this survey, we collected answers helping us to establish findings and formulate novel insights. The study as a whole consisted of a pilot and a formal study for better robustness. Our findings uncovered the current status of AR being used in industrial tomography, and showed that the potential of AR in this domain was positively rated by the participants. Based on our findings, we present key challenges and propose potential for interdisciplinary synergies between AR and industrial tomography.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 89.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 119.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Alves, J.B., Marques, B., Ferreira, C., Dias, P., Santos, B.S.: Comparing augmented reality visualization methods for assembly procedures. Virtual Reality 26(1), 235–248 (2022)

    Article  Google Scholar 

  2. Azuma, R.T.: A survey of augmented reality. Presence: Teleoperators Virtual Environ. 6(4), 355–385 (1997)

    Article  Google Scholar 

  3. Boboc, R.G., Gîrbacia, F., Butilă, E.V.: The application of augmented reality in the automotive industry: a systematic literature review. Appl. Sci. 10(12), 4259 (2020)

    Article  Google Scholar 

  4. Bruno, F., Caruso, F., De Napoli, L., Muzzupappa, M.: Visualization of industrial engineering data visualization of industrial engineering data in augmented reality. J. Vis. 9(3), 319–329 (2006)

    Article  Google Scholar 

  5. Büttner, S., Funk, M., Sand, O., Röcker, C.: Using head-mounted displays and in-situ projection for assistive systems: a comparison. In: Proceedings of the 9th ACM International Conference on Pervasive Technologies Related to Assistive Environments, pp. 1–8 (2016)

    Google Scholar 

  6. Cook, J.: PTC technology accelerates Watson-Marlow’s digital transformation plans. https://www.ptc.com/en/blogs/corporate/ptc-technology-accelerates-watson-marlow-digital-transformation

  7. De Pace, F., Manuri, F., Sanna, A.: Augmented reality in industry 4.0. Am. J. Comput. Sci. Inf. Technol. 6(1), 17 (2018)

    Google Scholar 

  8. Fraga-Lamas, P., Fernández-Caramés, T.M., Blanco-Novoa, Ó., Vilar-Montesinos, M.A.: A review on industrial augmented reality systems for the industry 4.0 shipyard. IEEE Access 6, 13358–13375 (2018)

    Article  Google Scholar 

  9. Ismail, I., Gamio, J., Bukhari, S.A., Yang, W.: Tomography for multi-phase flow measurement in the oil industry. Flow Meas. Instrum. 16(2–3), 145–155 (2005)

    Article  Google Scholar 

  10. Lavingia, K., Tanwar, S.: Augmented reality and industry 4.0. In: Nayyar, A., Kumar, A. (eds.) A Roadmap to Industry 4.0: Smart Production, Sharp Business and Sustainable Development. ASTI, pp. 143–155. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-14544-6_8

    Chapter  Google Scholar 

  11. Lorenz, M., Knopp, S., Klimant, P.: Industrial augmented reality: requirements for an augmented reality maintenance worker support system. In: 2018 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), pp. 151–153. IEEE (2018)

    Google Scholar 

  12. Ma, D., Gausemeier, J., Fan, X., Grafe, M.: Virtual Reality & Augmented Reality in Industry. Springer, Cham (2011). https://doi.org/10.1007/978-3-642-17376-9

    Book  Google Scholar 

  13. Mann, R., Stanley, S., Vlaev, D., Wabo, E., Primrose, K.: Augmented-reality visualization of fluid mixing in stirred chemical reactors using electrical resistance tomography. J. Electron. Imaging 10(3), 620–630 (2001)

    Article  Google Scholar 

  14. Marner, M.R., Smith, R.T., Walsh, J.A., Thomas, B.H.: Spatial user interfaces for large-scale projector-based augmented reality. IEEE Comput. Graph. Appl. 34(6), 74–82 (2014)

    Article  Google Scholar 

  15. Mourtzis, D., Siatras, V., Zogopoulos, V.: Augmented reality visualization of production scheduling and monitoring. Procedia CIRP 88, 151–156 (2020)

    Article  Google Scholar 

  16. Noghabaei, M., Heydarian, A., Balali, V., Han, K.: A survey study to understand industry vision for virtual and augmented reality applications in design and construction. arXiv preprint arXiv:2005.02795 (2020)

  17. Nolet, G.: Seismic Tomography: With Applications in Global Seismology and Exploration Geophysics, vol. 5. Springer, Heidelberg (2012). https://doi.org/10.1007/978-94-009-3899-1

    Book  Google Scholar 

  18. Nowak, A., Woźniak, M., Rowińska, Z., Grudzień, K., Romanowski, A.: Towards in-situ process tomography data processing using augmented reality technology. In: Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, pp. 168–171 (2019)

    Google Scholar 

  19. Nowak, A., Zhang, Y., Romanowski, A., Fjeld, M.: Augmented reality with industrial process tomography: to support complex data analysis in 3D space. In: Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers (2021)

    Google Scholar 

  20. Plaskowski, A., Beck, M., Thorn, R., Dyakowski, T.: Imaging Industrial Flows: Applications of Electrical Process Tomography. CRC Press (1995)

    Google Scholar 

  21. Primrose, K.: Application of process tomography in nuclear waste processing. In: Industrial Tomography, pp. 713–725. Elsevier (2015)

    Google Scholar 

  22. Rao, G., Aghajanian, S., Zhang, Y., Jackowska-Strumiłło, L., Koiranen, T., Fjeld, M.: Monitoring and visualization of crystallization processes using electrical resistance tomography: CaCO3 and sucrose crystallization case studies. Sensors 22(12), 4431 (2022)

    Article  Google Scholar 

  23. Romanowski, A.: Big data-driven contextual processing methods for electrical capacitance tomography. IEEE Trans. Ind. Inf. 15, 1609–1618 (2019). https://doi.org/10.1109/TII.2018.2855200

    Article  Google Scholar 

  24. Romanowski, A., et al.: Interactive timeline approach for contextual spatio-temporal ECT data investigation. Sensors 20(17) (2020). https://doi.org/10.3390/s20174793. https://www.mdpi.com/1424-8220/20/17/4793

  25. Satkowski, M., Dachselt, R.: Investigating the impact of real-world environments on the perception of 2D visualizations in augmented reality. In: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, pp. 1–15 (2021)

    Google Scholar 

  26. Sobiech, F., et al.: Exploratory analysis of users’ interactions with AR data visualisation in industrial and neutral environments (2022)

    Google Scholar 

  27. de Souza Cardoso, L.F., Mariano, F.C.M.Q., Zorzal, E.R.: A survey of industrial augmented reality. Comput. Ind. Eng. 139, 106159 (2020)

    Google Scholar 

  28. Stanley, S., Mann, R., Primrose, K.: Interrogation of a precipitation reaction by electrical resistance tomography (ERT). AIChE J. 51(2), 607–614 (2005)

    Article  Google Scholar 

  29. Tapp, H., Peyton, A., Kemsley, E., Wilson, R.: Chemical engineering applications of electrical process tomography. Sens. Actuators B Chem. 92(1–2), 17–24 (2003)

    Article  Google Scholar 

  30. Wang, M.: Industrial Tomography: Systems and Applications. Elsevier (2015)

    Google Scholar 

  31. Zasornova, I., Zakharkevich, O., Zasornov, A., Kuleshova, S., Koshevko, J., Sharan, T.: Usage of augmented reality technologies in the light industry. Vlakna a textil (Fibres and Textiles) (28), 3 (2021)

    Google Scholar 

  32. Zhang, Y., Ma, Y., Omrani, A., et al.: Automated microwave tomography (MWT) image segmentation: state-of-the-art implementation and evaluation. J. WSCG 2020, 126–136 (2020)

    Google Scholar 

  33. Zhang, Y., Fjeld, M.: Condition monitoring for confined industrial process based on infrared images by using deep neural network and variants. In: Proceedings of the 2020 2nd International Conference on Image, Video and Signal Processing, pp. 99–106 (2020)

    Google Scholar 

  34. Zhang, Y., Fjeld, M.: “I am told to be happy”: an exploration of deep learning in affective colormaps in industrial tomography. In: 2021 2nd International Conference on Artificial Intelligence and Information Systems, pp. 1–5 (2021)

    Google Scholar 

  35. Zhang, Y., Fjeld, M., Fratarcangeli, M., Said, A., Zhao, S.: Affective colormap design for accurate visual comprehension in industrial tomography. Sensors 21(14), 4766 (2021)

    Article  Google Scholar 

  36. Zhang, Y., Fjeld, M., Said, A., Fratarcangeli, M.: Task-based colormap design supporting visual comprehension in process tomography. In: Kerren, A., Garth, C., Marai, G.E. (eds.) EuroVis 2020 - Short Papers. The Eurographics Association (2020). https://doi.org/10.2312/evs.20201049

  37. Zhang, Y., Nowak, A., Romanowski, A., Fjeld, M.: An initial exploration of visual cues in head-mounted display augmented reality for book searching. In: Proceedings of the 21st International Conference on Mobile and Ubiquitous Multimedia, pp. 273–275 (2022)

    Google Scholar 

  38. Zhang, Y., Omrani, A., Yadav, R., Fjeld, M.: Supporting visualization analysis in industrial process tomography by using augmented reality—a case study of an industrial microwave drying system. Sensors 21(19), 6515 (2021)

    Article  Google Scholar 

  39. Zhang, Y., Yadav, R., Omrani, A., Fjeld, M.: A novel augmented reality system to support volumetric visualization in industrial process tomography. In: Proceedings of the 2021 Conference on Interfaces and Human Computer Interaction, pp. 3–9 (2021)

    Google Scholar 

  40. Zubizarreta, J., Aguinaga, I., Amundarain, A.: A framework for augmented reality guidance in industry. Int. J. Adv. Manuf. Technol. 102, 4095–4108 (2019)

    Article  Google Scholar 

  41. Zulfabli, H., Ismalina, H., Amarul, T., Ahmad, S.: Product development of mechanical practice: augmented reality (AR) approach. In: AIP Conference Proceedings, vol. 2129, p. 020055. AIP Publishing LLC (2019)

    Google Scholar 

Download references

Acknowledgment

This project has received funding from the European Union’s Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement No. 764902. This work has been supported by the Polish National Agency for Academic Exchange under the PROM programme co-financed by the European Social Fund.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yuchong Zhang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Zhang, Y., Nowak, A., Rao, G., Romanowski, A., Fjeld, M. (2023). Is Industrial Tomography Ready for Augmented Reality? A Need-Finding Study of How Augmented Reality Can Be Adopted by Industrial Tomography Experts. In: Chen, J.Y.C., Fragomeni, G. (eds) Virtual, Augmented and Mixed Reality. HCII 2023. Lecture Notes in Computer Science, vol 14027. Springer, Cham. https://doi.org/10.1007/978-3-031-35634-6_37

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-35634-6_37

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-35633-9

  • Online ISBN: 978-3-031-35634-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics