대한건축학회논문집 (Journal of the Architectural Institute of Korea)

  • 제39권11호
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  • Pages.95-103
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  • 2023
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  • 2733-6239(pISSN)
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  • 2733-6247(eISSN)
대한건축학회 (Architectural Institute of Korea)
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건물디자인 평가를 위한 시각매체로서 몰입형 가상현실(IVR)의 선호도 분석

Preference Analysis of Immersive Virtual Reality as a Visual Medium for Building Design Evaluation

  • Liu Yuanzhao (Dept. of Architecture, Pusan National University) ;
  • Daegeon Lee (Dept. of Architecture, Pusan National University) ;
  • Changbae Park (Dept. of Architecture, Pusan National University)
  • 투고 : 2023.08.28
  • 심사 : 2023.11.02
  • 발행 : 2023.11.30
⟨ 이전 논문 다음 논문 ⟩

초록

This study explored preferences for Immersive Virtual Reality (IVR) as a visual medium for evaluating building designs and compared awareness of building design elements through a survey, contrasting with other visual media. The research results revealed a preference for IVR over other visual media. Although preferences were somewhat higher among males, individuals under 30 years old, and those affiliated with undergraduate programs, these differences did not show statistical significance. IVR emerged as the most favored visual medium, with perceived reality as the most crucial factor in user experience (92.3%). Differences in perceived reality related to participant characteristics were statistically significant in education levels (Undergraduate: 4.000, Postgraduate: 3.414). In terms of building design elements, differences in reality among various visual media were statistically significant, except for color in photos and videos. The most significant differences in the perception of reality among building design elements within a visual medium were observed in photos (P=0.243). The reality of materials, less prominent in photos, notably improved in IVR, with the difference diminishing to a statistically insignificant level (P: 0.01-->0.001). Differences in the perceived reality of different types of building design elements also displayed statistical significance.

키워드

과제정보

이 과제는 부산대학교 기본연구지원사업(2년)에 의하여 연구되었음. 이 논문은 2023년도 4단계 두뇌한국21 사업(4단계 BK21 사업)에 의하여 지원되었음.

참고문헌

  1. Bosco, A., & Coluccia, E. (2003). Assessing age differences in spatial orientation tasks following map study, Imagination, Cognition and Personality, 23(2), 233-240.  https://doi.org/10.2190/U3EH-32D3-F9E9-5MB3
  2. Burdea, G., Burdea, G. C., & Coiffet, P. (1994). Virtual Reality Technology. Wiley. 
  3. Ching, F. D. (2020). Building construction illustrated. John Wiley & Sons. 
  4. Choi, S.-M., Lee, J. H., Jung, J.-O., & Sun, B.-K. (2015). A study on the relationship between engineering college student's spatial visualization skills and academic achievements, Journal of Engineering Education Research, 18(5), 42-50.  https://doi.org/10.18108/JEER.2015.18.5.42
  5. Coluccia, E., & Louse, G. (2004). Gender differences in spatial orientation: A review, Journal of Environmental Psychology, 24(3), 329-340.  https://doi.org/10.1016/j.jenvp.2004.08.006
  6. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology, MIS quarterly, 319-340. 
  7. Devlin, K., & Nasar, J. L. (1989). The beauty and the beast: Some preliminary comparisons of 'high'versus 'popular'residential architecture and public versus architect judgments of same, Journal of Environmental Psychology, 9(4), 333-344.  https://doi.org/10.1016/S0272-4944(89)80013-1
  8. Eastman, C. M. (2011). BIM handbook: A Guide To Building Information Modeling For Owners, Managers, Designers, Engineers and Contractors. John Wiley & Sons. 
  9. Faul, F., Erdfelder, E., Buchner, A., & Lang, A.-G. (2009). Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses, Behavior Research Methods, 41, 1149-1160.  https://doi.org/10.3758/BRM.41.4.1149
  10. Gifford, R., Hine, D. W., Muller-Clemm, W., & Shaw, K. T. (2002). Why architects and laypersons judge buildings differently: Cognitive properties and physical bases, Journal of architectural and Planning Research, 131-148. 
  11. Henry, D., & Furness, T. (1993). Spatial perception in virtual environments: Evaluating an architectural application, Proceedings of IEEE virtual reality annual international symposium, 
  12. Ibrahim, R., & Rahimian, F. P. (2010). Comparison of CAD and manual sketching tools for teaching architectural design, Automation in Construction, 19(8), 978-987.  https://doi.org/10.1016/j.autcon.2010.09.003
  13. Jang, H.-J., & Kim, K.-H. (2018). Study on the influence of VR characteristics on user satisfaction and intention to use continuously-Focusing on VR presence, user characteristics, and VR sickness, The Journal of the Korea Contents Association, 18(5), 420-431.  https://doi.org/10.5392/JKCA.2018.18.05.420
  14. Jang, M., Choi, H.-B., & Nam, K.-W. (2019). Method to use drawings and 3D models in building construction by augmented reality, Journal of the Regional Association of Architectural Institute of Korea, 21(6), 41-46. 
  15. Kaplan, R., & Kaplan, S. (1989). The experience of nature: A psychological perspective. Cambridge university press. 
  16. Kuliga, S. F., Thrash, T., Dalton, R. C., & Holscher, C. (2015). Virtual reality as an empirical research tool - Exploring user experience in a real building and a correspoㅔnding virtual model, Computers, Environment and Urban Systems, 54, 363-375.  https://doi.org/10.1016/j.compenvurbsys.2015.09.006
  17. Li, X., Yi, W., Chi, H.-L., Wang, X., & Chan, A. P. (2018). A critical review of virtual and augmented reality (VR/AR) applications in construction safety, Automation in Construction, 86, 150-162.  https://doi.org/10.1016/j.autcon.2017.11.003
  18. Liu, Y., Lather, J., & Messner, J. (2014). Virtual reality to support the integrated design process: A retrofit case study, Computing in Civil and Building Engineering - Proceedings of the 2014 International Conference on Computing in Civil and Building Engineering 
  19. Liu, Y., Lee, D., & Park, C. (2023). BIM-VR Design evaluation system for the formation of preferred building exterior models: BIM-VR design evaluation system for the formation of preferred building exterior models, Archives of Design Research, 36(1), 107-120. 
  20. Liu, Y., & Park, C. (2022). Preference of user groups on facade elements of remodeled factories in Korea, Architectural Research, 24(2), 29-40.  https://doi.org/10.5659/AIKAR.2022.24.2.29
  21. McGee, M. G. (1979). Human spatial abilities: psychometric studies and environmental, genetic, hormonal, and neurological influences, Psychological Bulletin, 86(5), 889. 
  22. Milgram, P., & Kishino, F. (1994). A taxonomy of mixed reality visual displays, IEICE Transactions On Information And Systems, 77(12), 1321-1329. 
  23. Nasar, J. L. (2008). Assessing perceptions of environments for active living, American Journal of Preventive Medicine, 34(4), 357-363.  https://doi.org/10.1016/j.amepre.2008.01.013
  24. Nori, R., Grandicelli, S., & Giusberti, F. (2009). Individual differences in visuo-spatial working memory and real-world wayfinding, Swiss Journal of Psychology, 68(1), 7-16.  https://doi.org/10.1024/1421-0185.68.1.7
  25. 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.  https://doi.org/10.1016/j.autcon.2017.09.016
  26. Paes, D., Irizarry, J., Billinghurst, M., & Pujoni, D. (2023). Investigating the relationship between three-dimensional perception and presence in virtual reality-reconstructed architecture, Applied Ergonomics, 109, 103953. 
  27. Shafer, D. M., Carbonara, C. P., & Popova, L. (2011). Spatial presence and perceived reality as predictors of motion-based video game enjoyment, Presence: Teleoperators and Virtual Environments, 20(6), 591-619.  https://doi.org/10.1162/PRES_a_00084
  28. Son, M.-S., Han, K.-S., An, Y.-J., & Kim, S.-Y. (2019). A study on the major factors affecting the intention to use the AR virtual fitting system, Journal of Digital Contents Society, 20(5), 991-1000.  https://doi.org/10.9728/dcs.2019.20.5.991
  29. Stamps III, A. E. (1993). Simulation effects on environmental preference, Journal of Environmental Management, 38(2), 115-132.  https://doi.org/10.1006/jema.1993.1033
  30. Wang, X., Kim, M. J., Love, P. E., & Kang, S.-C. (2013). Augmented reality in built environment: classification and implications for future research, Automation in Construction, 32, 1-13.  https://doi.org/10.1016/j.autcon.2012.11.021
  31. Witmer, B. G., & Singer, M. J. (1998). Measuring presence in virtual environments: A presence questionnaire, Presence, 7(3), 225-240.  https://doi.org/10.1162/105474698565686
  32. Xu, M., Li, C., Zhang, S., & Le Callet, P. (2020). State-of-the-art in 360 video/image processing: Perception, assessment and compression, IEEE Journal of Selected Topics in Signal Processing, 14(1), 5-26. https://doi.org/10.1109/JSTSP.2020.2966864