A Basic Study on the Development of Adaptive Voxelization Technology for the Advanced Human Behavior Simulation in the Atypical Architectural Building
February 28, 2023 | Vol.9, No.2 | PP. 29-38 | PDF
AUTHORS:
Yun Gil Lee, Department of Architecture, Hoseo University, Republic of Korea
KEYWORDS:
Voxelization, Affordance Detection, Automatic Extraction, Physical Space
Abstract
In the field of architecture, the importance of human behavior simulation in the design stage is being reconsidered with the advent of atypical architectural spaces. This is because it is difficult to predict human behavior in the designed atypical space due to the morphological complexity of the atypical architectural space. Therefore, a number of studies are being conducted to increase the agent's response behavior-related intelligence. However, since most of the research is targeting a stereotyped object or space, and the agent's behavior is also limitedly treated, there is a limit to its use in the design and design process. This is a study to advance the voxelization technology of architectural geometry as a technology development for the automatic calculation of the possibility of triggering user actions in buildings of complex shapes and architectural spaces. In this study, with the concept of adaptive voxelization, a method for subdividing the necessary parts of an atypical physical space and giving the voxel characteristics related to human behavior is presented. To this end, we developed a prototype technology that can calculate some strategies and check their possibilities through theories and case studies. Also, by applying the prototype technology to the designed atypical space, the possibility of extracting the possibility of a more detailed behavior inducement was examined.
APJCRI
The purpose of this journal is to share and exchange the results of recent research by Asia-Pacific national researchers, and the purpose of the project is to publish the results of convergence research with the humanities and social sciences, including advanced research in specific fields.