Journal of KIBIM (한국BIM학회 논문집)

Korean Institute of Building Information Modeling (한국BIM학회)
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A Study on the Effects of a Virtual-Users Model Computing the Semantics of Spaces for the Operation and Understanding of Human Behavior Simulation of Architecture-Major Students

공간의 의미를 연산하는 가상 사용자 모델이 건축설계 전공학생들의 인간행동 시뮬레이션 운용과 이해도에 미치는 효과에 관한 연구

  • Received : 2016.09.19
  • Accepted : 2016.09.20
  • Published : 2016.09.30
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Abstract

The previous studies argue that using the semantic properties of BIM objects is efficient for simulating the behaviors of autonomous, computer agents, called virtual-users, but such assumption is not proven via evidence-based research approaches. Hence, this present study aims to investigate the empirical effects of a human behavior simulation model equipped the semantics of spaces on the architecture-major students' operation and understanding of the simulation system, compared to a typical path-finding model. To achieve the aim, this study analyzed the survey and interview data, collected in the authentic design projects. The analysis indicates that (1) using a simulation model equipped the semantics of spaces helps the students' operation of the simulation, and (2) it also aids understanding the relationship between the variables of spaces and virtual-users (${\alpha}=0.74$). In addition, the qualitative data inform that the advantages of the simulation model that computes the semantics of spaces stem in the automatic behavioral changes of massive numbers of virtual-users, and efficient detection and activation on the what-if situations. The analysis also reveals that the simulation model has shortcomings in orchestrating the complex data structure between the semantics properties of spaces and virtual-users under multi-sequential scenarios. The results of this study contribute to develop a future design system combining BIM with human behavior simulation.

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References

  1. Ahn, J., Lim, J., Oh, M., & Lee, J. (2015). Evaluation and Selection of Building Materials based on Life Cycle Cost Prediction. Journal of KIBIM, Vol.5, No.2, pp. 34-45. https://doi.org/10.13161/kibim.2015.5.2.034
  2. Barker, R. G. (1978). Habitats, Environments, and Human Behavior: Studies in Ecological Psychology and Eco-Behavioral Science. San Francisco, CA: Jossy-Bass Publishers, San Francisco, California.
  3. Canter, D. (1977). Psychology of Place. Architectrual Press.
  4. Choi, J-W., Kim, S-A., & Lee, Y-G. (2010). Developing a Building Performance Simulation Environment based on Self-animated Virtual Characters. Journal of the Architectural Institute of Korea, Vol. 26, No. 4, pp. 83-90.
  5. Chu, M. L., Parigi, P., Law, K.,, & Latombe, J. C. (2014). SAFEgress: A Flexible Platform to Study the Effect of Human and Social Behaviors on Egress Performance. 2014 Proceedings of the Symposium on Simulation for Architecture and Urban Design, pp. 35-42.
  6. Gibson, J. J. (1979). The Ecological Approach To Visual Perception. Psychology Press.
  7. Hall, E. T. (1966). Hidden Dimension. New York: Doubleday.
  8. Hong, S-W., Schaumann, D., Kalay, Y. E. (2016). Human behavior simulation in architectural design project: An observational study in an academic course. Computers, Environment and Urban Systems, Vol. 60, pp.1-11. https://doi.org/10.1016/j.compenvurbsys.2016.07.005
  9. Hong, S-W., Jeong, Y-W., Kalay, Y. E., Jung, S-W., & Lee, J-W. (2016). Enablers and Barriers of the Multi-User Virtual Environment for Exploratory Creativity in Architectural Design Collaboration. CoDesign: International Journal of CoCreation in Design and Arts, Vol.12, No.3, pp.151-170.
  10. Hong, S-W., & Lee, Y-G. (2014). A Comparative Study on the Effects of BIM and Conventional 3D Modeler on the Idea Generation in Architectural Design Process. Journal of Korea Multimedia Society, Vol.17 No.5, pp. 623-630. https://doi.org/10.9717/kmms.2014.17.5.623
  11. Kalay, Y. E. (2004). Architecture's New Media: Principles, Theories, and Methods of Computer-aided Design. Cambridge, MA: MIT Press.
  12. Kalay, Y. E., Schaumann, D., Hong, S-W., & Simeone, D. (2014). Beyond BIM: Next-Generation Building Information Modeling to Support Form, Function, and Use of Buildings. In Karen Kensek., & Douglas Noble (Eds.). Building Information Modeling: BIM in Current and Future Practice (pp. 324-336), Wiley & Sons. Inc.
  13. Lee, Y-G. (2011), Basic Study on the Development of Ontologybased Space Information Model Concerning Affordances. Journal of the Architectural Institute of Korea, Vol. 27, No. 10, pp. 59-66.
  14. Pan, X., Han, C. S., Dauber, K., & Law, K. H. (2006). Human and social behavior in computational modeling and analysis of egress. Automation in Construction, Vol 15, No. 4, pp. 448-461. https://doi.org/10.1016/j.autcon.2005.06.006
  15. Rittel, H. (1971). Some Principles for the Design of an Educational System for Design. Journal of Architectural Education, Vol 25, No. 12, pp. 16-27.
  16. Simeone, D., Kalay, Y. E., Schaumann, D., & Hong, S-W. (2013). Modeling and Simulating Use Processes in Buildings. 2013 Proceedings of Education and Research in Computed Aided Architectural Design in Europe, pp. 59-66.
  17. Suh, H-S., Lee, S-H., Lim, J-S., & Choi, C-H. (2014). BIM-Based Integrated Module for Apartment Environmental Performance and Energy Analysis. Journal of KIBIM, Vol.4 No.2. pp. 1-9. https://doi.org/10.13161/KIBIM.2014.4.2.001