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Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
}
TY - GEN
T1 - cogARCH
T2 - SimAUD2020
AU - Gath-Morad, Michal
AU - Aguilar, Leonel
AU - Conroy-Dalton, Ruth
AU - Hölscher, Christoph
N1 - Conference code: 11th
PY - 2020/5/25
Y1 - 2020/5/25
N2 - Findings from cognitive science link the architectural complexity of multilevel buildings with occupants’ difficulty in orienting and finding their way. Nevertheless, current approaches to modelling occupants’ wayfinding reduce the representation of 3D multilevel buildings to isolated 2D graphs of each floor. These graphs do not take account of the interplay between agents’ 3D field of view and buildings’ 3D geometry, topology, or semantics, yet these are necessary to inform occupants’ path differentiation during wayfinding. Instead, agents are often modeled as unbounded and rational, able to calculate complete paths towards goals that are not immediately visible using direct routing algorithms. In turn, simulated behavior in most cases is unrealistically optimal (e.g. shortest or fastest route). This gap may hinder architects’ ability to foresee how their design decisions may result in suboptimal wayfinding behavior, whether intended or not. To bridge this gap, the paper presents cogARCH, a computational, agent-based simulation framework. cogARCH is grounded in research on spatial cognition and heuristic decision making to support pre-occupancy evaluation of wayfinding in multilevel buildings. To demonstrate the relevance of cogARCH to architectural design, we apply it to assess wayfinding performance across three architectural variations of a multilevel education building. Preliminary results showcase significant variability in cognitive agents’ wayfinding performance between building scenarios. In contrast, behavior of shortest-path agents sampled across respective conditions displayed significantly less variance and thus failed to reflect potential effects of architectural changes applied to 3D building configuration on wayfinding behavior.
AB - Findings from cognitive science link the architectural complexity of multilevel buildings with occupants’ difficulty in orienting and finding their way. Nevertheless, current approaches to modelling occupants’ wayfinding reduce the representation of 3D multilevel buildings to isolated 2D graphs of each floor. These graphs do not take account of the interplay between agents’ 3D field of view and buildings’ 3D geometry, topology, or semantics, yet these are necessary to inform occupants’ path differentiation during wayfinding. Instead, agents are often modeled as unbounded and rational, able to calculate complete paths towards goals that are not immediately visible using direct routing algorithms. In turn, simulated behavior in most cases is unrealistically optimal (e.g. shortest or fastest route). This gap may hinder architects’ ability to foresee how their design decisions may result in suboptimal wayfinding behavior, whether intended or not. To bridge this gap, the paper presents cogARCH, a computational, agent-based simulation framework. cogARCH is grounded in research on spatial cognition and heuristic decision making to support pre-occupancy evaluation of wayfinding in multilevel buildings. To demonstrate the relevance of cogARCH to architectural design, we apply it to assess wayfinding performance across three architectural variations of a multilevel education building. Preliminary results showcase significant variability in cognitive agents’ wayfinding performance between building scenarios. In contrast, behavior of shortest-path agents sampled across respective conditions displayed significantly less variance and thus failed to reflect potential effects of architectural changes applied to 3D building configuration on wayfinding behavior.
M3 - Conference contribution/Paper
SN - 1565553713
SP - 27
EP - 34
BT - 2020 Proceedings of the Symposium on Simulation for Architecture and Urban Design
A2 - Chronis, Angelos
A2 - Wurzer, Gabriel
A2 - Lorenz, Wolfgang E.
A2 - Herr, Christiane M.
A2 - Pont, Ulrich
A2 - Cupkova, Dana
A2 - Wainer, Gabriel
PB - SimAUD
Y2 - 25 May 2020 through 27 May 2020
ER -