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Book Chapter

Investigation of the Acceptance of Virtual Reality for Planning Decisions in Early Design Phases

  • Daniel Napps
  • Markus König

In recent years, with the increasing digitization of the construction industry, the potential benefits provided by the adoption of Virtual Reality (VR) have been shown especially in interdisciplinary networking among different stakeholders for which effective communication and information exchange methods are crucial. This is particularly significant during early design phases and associated decision-making processes where, despite its positive impact in terms of project’s time and cost savings, VR adoption still has to reach its full potential. For this reason, this paper investigates to what extent the acceptance and application of VR has developed and identifies possible integrations in the early planning phases. By conducting a multi-year study with representatives from the construction industry, including qualitative and quantitative survey methods, the current use of VR and the requirements for future applications are determined. The study reveals that VR's importance for design visualization has increased, identifies architects' current requirements and integration barriers. Additionally, these requirements are compared with existing VR possibilities and an approach for exchanging different variants in a building information model will be examined. Based on these findings, VR can be integrated in application-specific contexts and software can be adapted to architects' needs for optimizing the digitization process

  • Keywords:
  • Virtual Reality,
  • Decision Support,
  • Early Design Phase,
  • Design Visualization,
  • Study,
+ Show More

Daniel Napps

Ruhr-University Bochum, Germany - ORCID: 0000-0002-2287-2964

Markus König

Ruhr-University Bochum, Germany - ORCID: 0000-0002-2729-7743

  1. Boeykens, S., & Gawade, M. (2013). Unity for architectural visualization: Transform your architectural design into an interactive real-time experience using Unity (Online-Ausg). Community experience distilled. Packt Publishing. http://site.ebrary.com/lib/alltitles/Doc?id=10772102
  2. Bouchlaghem, N., Thorpe, A., & Liyanage, I. G. (1996). Virtual reality applications in the UK's construction industry. World Building Congress CIB, May 1996, 1–6. https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=12e08af4009d4db9941db4717bedca248c11a0f5
  3. Casini, M. (2022). Extended Reality for Smart Building Operation and Maintenance: A Review. Energies, 15(10), 3785. DOI: 10.3390/en15103785
  4. Chung, L. (2022). What is a good survey response rate for online customer surveys? Delighted. https://delighted.com/blog/average-survey-response-rate
  5. Davila Delgado, J. M., Oyedele, L., Beach, T., & Demian, P. (2020). Augmented and Virtual Reality in Construction: Drivers and Limitations for Industry Adoption. Journal of Construction Engineering and Management, 146(7), Article 04020079, 4020079. DOI: 10.1061/(ASCE)CO.1943-7862.0001844
  6. Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science, 35(8), 982–1003. DOI: 10.1287/mnsc.35.8.982
  7. Emmitt, S. (2010). Managing interdisciplinary projects: A primer for architecture, engineering and construction. Spon Press. https://www.taylorfrancis.com/books/mono/10.4324/9780203885338/managing-interdisciplinary-projects-stephen-emmitt DOI: 10.4324/9780203885338
  8. Federal Building Code Germany (Baugesetzbuch, BauGB). In the version published on November 3, 2017 (BGBl. I p. 3634), as last amended by Article 3 of the Act of July 12, 2023 (BGBl. 2023 I No. 184)., http://www.lexsoft.de/cgi-bin/lexsoft/justizportal_nrw.cgi?t=161659495387361996&xid=139663,1 (2023 & rev. 2017).
  9. Geldmacher, W., Just, V., Grab, B., & Kompalla, A. (2019). Derivation of a Modified Technology Acceptance Model for the Application on Self-driving Cars in a Car-sharing-model Based on Qualitative Research. In Building Engagement for Sustainable Development (pp. 197–214). Springer Gabler, Wiesbaden. DOI: 10.1007/978-3-658-26172-6_12
  10. Ghobadi, M., & M.E. Sepasgozar, S. (2020). An Investigation of Virtual Reality Technology Adoption in the Construction Industry. In S. Shirowzhan & K. Zhang (Eds.), Smart Cities and Construction Technologies. IntechOpen. DOI: 10.5772/intechopen.91351
  11. Jensen, C. G. (2017). Collaboration and Dialogue in Virtual Reality. Advance online publication. (Journal of Problem Based Learning in Higher Education, Vol 5 No 1 (2017): Special issue: Blended Learning in Architecture and Design Education). DOI: 10.5278/OJS.JPBLHE.V0I0.1542
  12. Le Masson, V. (2023). The magic number: how to optimise and improve your survey response rate. Kantar. https://www.kantar.com/inspiration/research-services/what-is-a-good-survey-response-rate-pf
  13. Mellinger, C. D., & Hanson, T. A. (2021). Methodological considerations for survey research: Validity, reliability, and quantitative analysis. Linguistica Antverpiensia, New Series – Themes in Translation Studies, 19. DOI: 10.52034/lanstts.v19i0.549
  14. Napps, D., Maibaum, J., & König, M. (2023) Identifying cost-efficient alternatives to building designs based on building regulations. In EG-ICE 20223 conference papers. https://www.ucl.ac.uk/bartlett/construction/sites/bartlett_construction/files/8908.pdf
  15. Napps, D., Pawlowski, D., & König, M. (2021). BIM-based variant retrieval of building designs using case-based reasoning and pattern matching. In C. Feng, T. Linner, I. Brilakis, D. Castro, P.-H. Chen, Y. Cho, J. Du, S. Ergan, B. Garcia de Soto, J. Gašparík, F. Habbal, A. Hammad, K. Iturralde, T. Bock, S. Kwon, Z. Lafhaj, N. Li, C.-J. Liang, B. Mantha, . . . Z. Zhu (Eds.), Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC), Proceedings of the 38th International Symposium on Automation and Robotics in Construction (ISARC). International Association for Automation and Robotics in Construction (IAARC). DOI: 10.22260/ISARC2021/0060
  16. Napps, D., Zahedi, A., König, M., & Petzold, F. (2022). Visualisation and graph-based storage of customised changes in early design phases. In T. Linner, B. García de Soto, R. Hu, I. Brilakis, T. Bock, W. Pan, A. Carbonari, D. Castro, H. Mesa, C. Feng, M. Fischer, C. Brosque, V. Gonzalez, D. Hall, M. S. Ng, V. Kamat, C.-J. Liang, Z. Lafhaj, W. Pan, . . . Z. Zhu (Eds.), Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC), Proceedings of the 39th International Symposium on Automation and Robotics in Construction. International Association for Automation and Robotics in Construction (IAARC). DOI: 10.22260/ISARC2022/0028
  17. Noghabaei, M., Heydarian, A., Balali, V., & Han, K. (2020). Trend Analysis on Adoption of Virtual and Augmented Reality in the Architecture, Engineering, and Construction Industry. Data, 5(1), 26. DOI: 10.3390/data5010026
  18. Østergård, T., Jensen, R. L., & Maagaard, S. E. (2016). Building simulations supporting decision making in early design – A review. Renewable and Sustainable Energy Reviews, 61, 187–201. DOI: 10.1016/j.rser.2016.03.045
  19. Ozcan-Deniz, G. (2019). Expanding applications of virtual reality in construction industry: A multiple case study approach. Journal of Construction Engineering, Management & Innovation, 2(2), 48–66. DOI: 10.31462/jcemi.2019.02048066
  20. Paes, D., Arantes, E., & Irizarry, J. (2017). Immersive environment for improving the understanding of architectural 3D models: Comparing user spatial perception between immersive and traditional virtual reality systems. Automation in Construction, 84, 292–303. DOI: 10.1016/j.autcon.2017.09.016
  21. Prabhakaran, A., Mahamadu, A.‑M., & Mahdjoubi, L. (2022). Understanding the challenges of immersive technology use in the architecture and construction industry: A systematic review. Automation in Construction, 137, 104228. DOI: 10.1016/j.autcon.2022.104228
  22. Rafidah Biniti Ab, Rahman. (2023). Comparison of Telephone and In-Person Interviews for Data Collection in Qualitative Human Research. DOI: 10.25417/UIC.22217215.V1
  23. Steam. (2022). Share of Steam users with virtual reality (VR) headset worldwide as of August 2022, by device. https://www.statista.com/statistics/265018/proportion-of-directx-versions-on-the-platform-steam/
  24. Wu, M.‑J., Zhao, K., & Fils-Aime, F. (2022). Response rates of online surveys in published research: A meta-analysis. Computers in Human Behavior Reports, 7, 100206. DOI: 10.1016/j.chbr.2022.100206
  25. Zhang, M., Shu, L., Luo, X., Yuan, M., & Zheng, X. (2022). Virtual reality technology in construction safety training: Extended technology acceptance model. Automation in Construction, 135, 104113. DOI: 10.1016/j.autcon.2021.104113
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  • Publication Year: 2023
  • Pages: 1-12

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  • Publication Year: 2023

Chapter Information

Chapter Title

Investigation of the Acceptance of Virtual Reality for Planning Decisions in Early Design Phases

Authors

Daniel Napps, Markus König

DOI

10.36253/979-12-215-0289-3.01

Peer Reviewed

Publication Year

2023

Copyright Information

© 2023 Author(s)

Content License

CC BY-NC 4.0

Metadata License

CC0 1.0

Bibliographic Information

Book Title

CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality

Book Subtitle

Managing the Digital Transformation of Construction Industry

Editors

Pietro Capone, Vito Getuli, Farzad Pour Rahimian, Nashwan Dawood, Alessandro Bruttini, Tommaso Sorbi

Peer Reviewed

Publication Year

2023

Copyright Information

© 2023 Author(s)

Content License

CC BY-NC 4.0

Metadata License

CC0 1.0

Publisher Name

Firenze University Press

DOI

10.36253/979-12-215-0289-3

eISBN (pdf)

979-12-215-0289-3

eISBN (xml)

979-12-215-0257-2

Series Title

Proceedings e report

Series ISSN

2704-601X

Series E-ISSN

2704-5846

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