Abstract
This paper presents ongoing research on the use of agents equipped with “exomatic visual architecture” (Turner et al., 2001). The main objective was to test whether some rarely explored isovist measures, like drift and longest line of sight, are associated with aggregated movement patterns of downtown Santiago, Chile. To test this idea, a series of algorithms were created and compared with observed data recorded at approximately 200 points during an entire workday. The main results show that drift-based algorithms were better suited to predict aggregated patterns than random behavior, although the extent of such relation is still weak (r2 = 0.27). From a theoretical point of view, these results seem to be in accordance with current cognitive theories (Clark, 2009; Thompson, 2007) stressing the dynamic nature of human behavior.
Highlights
This paper presents ongoing research on the use of agents equipped with “exomatic visual architecture” (Turner et al, 2001)
Two conditions were considered for the origin of agents
Condition one assumed that agents started throughout the open space in a homogeneous manner, whereas in condition two, agents started their navigation at each of the incoming streets in a proportional manner
Summary
The main precedents of this study can be traced back to the work of Gibson and his idea of optic flows. This, in turn, creates emergent effects, for large spaces and well-connected spaces were likely to attract more movement than small and secluded spaces Turner tested his ideas against movement patterns recorded in the Tate Gallery, in London. His results showed that highly visible places were likely to be explored by the agents, in a manner that reproduced people’s trajectories to a significant degree (R2 = 0.72). With the aim to expand these ideas, a vision-based agent tool was used, one whose engine is the visible available space (as in Turner’s), and some other isovist properties like drift and the longest line of sight. This study investigated visionbased agents moving randomly or toward their drift or their longest line of sight locations, and compared their trajectories with data of Santiago’s downtown
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
