Developing an autonomous psychological behaviour of virtual user to atypical architectural geometry

ABSTRACT In order to meet increasing social demand for atypical buildings and spaces, architects must be able to design an atypically shaped building. However, such design outcomes and processes often ignore the central element of architecture—namely, the human factor. In this context, virtual users (VUsers) are regarded as a suitable solution to this problem. In the previous field research, we investigated users' behaviors in atypical architectural spaces and the psychological reasons of behaviors. In this study, we focused on the computerization and systematic integration of the results of the previous research in order to develop a technology that automatically creates a space where user behavior can be expressed in atypical architectural designs and where VUsers can exhibit psychologically appropriate behaviors. This study suggests how to create the appropriate trigger spots, trigger viewpoints, and behavioral areas which guide VUsers' autonomous behavior in the virtual environment. We also integrated the results of this study into ActoViz, a user-behavior simulation system. Based on this study, further research will advance ActoViz, a human behavior simulation system based on intelligent agents which can behave freely within the designed atypical architectural geometry.

[1]  Kazushi Sano,et al.  Simulation based analysis of scramble crossings at signalized intersections , 2014 .

[2]  Guangjie Han,et al.  Edge Computing-Based Intelligent Manhole Cover Management System for Smart Cities , 2018, IEEE Internet of Things Journal.

[3]  Yueshen Xu,et al.  Network Location-Aware Service Recommendation with Random Walk in Cyber-Physical Systems , 2017, Sensors.

[4]  J. Gibson Observations on active touch. , 1962, Psychological review.

[5]  J. Foley Interfaces for advanced computing , 1987 .

[6]  Congfeng Jiang,et al.  Resource Allocation in Contending Virtualized Environments through Stochastic Virtual Machine Performance Modeling and Feedback , 2013, J. Inf. Sci. Eng..

[7]  Stephan K. Chalup,et al.  Architectural evaluation of simulated pedestrian spatial behaviour , 2011 .

[8]  R. Arnheim A Plea for Visual Thinking , 1980, Critical Inquiry.

[9]  Incheol Shin,et al.  Efficient Methods to Trigger Adversarial Behaviors from Malware during Virtual Execution in SandBox , 2015 .

[10]  Montasir M Abbas,et al.  Agent-Based Modeling and Simulation of Connected Corridors—Merits Evaluation and Future Steps , 2014 .

[11]  David N. Lee,et al.  Where we look when we steer , 1994, Nature.

[12]  Young Lim Lee,et al.  Developing an Autonomous Behavior of Virtual Users Based on Psychological Interpretation of Human Behavior to an Atypical Architectural Shape , 2019 .

[13]  Alex T. Anderson On the Human Figure in Architectural Representation , 2002 .

[14]  Monica Menendez,et al.  An Efficient Sensitivity Analysis Approach for Computationally Expensive Microscopic Traffic Simulation Models , 2014 .

[15]  G G Denton The Influence of Visual Pattern on Perceived Speed , 1980, Perception.

[16]  James T Todd,et al.  The visual perception of 3-D shape from multiple cues: Are observers capable of perceiving metric structure? , 2003, Perception & psychophysics.

[17]  Yueshen Xu,et al.  Collaborative Service Selection via Ensemble Learning in Mixed Mobile Network Environments , 2017, Entropy.

[18]  Mats Lind,et al.  Perceived 3D metric (or Euclidean) shape is merely ambiguous, not systematically distorted , 2012, Experimental Brain Research.

[19]  Seung Wan Hong,et al.  Behavioural responsiveness of virtual users for students’ creative problem-finding in architectural design , 2019, Architectural Science Review.

[20]  Young-Lim Lee,et al.  Poor shape perception is the reason reaches-to-grasp are visually guided online , 2008, Perception & psychophysics.