Developing a Technology of Tracing a Trigger Spot for Human Behavior through Voxelization of Atypical Architectural Shapes

Abstract

Human behavior simulation is one of the advancements that have been introduced in atypical building design because this technology makes it possible to overcome various limitations, such as when architects overlook human factors during the design process. To attain a detailed human behavior simulation, the appropriate actions of the virtual user in the right position are crucial. The action possibility of a particular shape of object is called affordance. The affordance of general objects is standardized, so computerization is easy. However, it is difficult to predict where and what behavior will be induced in atypical geometry. This is why it is difficult to realize advanced human behavior simulation technology in atypical designs. This study aimed to develop a technology that automatically calculates action points for the advanced human behavior simulation of atypical buildings. In this study, we developed an algorithm to extract the action trigger points by voxelizing a three-dimensional unstructured shape. By analyzing the positional relationship of voxels through the algorithm developed in this study, it is possible to calculate the point where the action can be triggered. Moreover, appropriate user actions can be placed at calculated points. The results of this study would facilitate complex human behaviors in atypical buildings and constitute a type of core technology that can be used for developing a more meaningful human behavior simulation technology.