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cogARCH: Simulating Wayfinding by Architecture in Multilevel Buildings

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Published

Standard

cogARCH : Simulating Wayfinding by Architecture in Multilevel Buildings. / Gath-Morad, Michal; Aguilar, Leonel; Conroy-Dalton, Ruth et al.

2020 Proceedings of the Symposium on Simulation for Architecture and Urban Design. ed. / Angelos Chronis; Gabriel Wurzer; Wolfgang E. Lorenz; Christiane M. Herr; Ulrich Pont; Dana Cupkova; Gabriel Wainer. SimAUD, 2020. p. 27-34.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Gath-Morad, M, Aguilar, L, Conroy-Dalton, R & Hölscher, C 2020, cogARCH: Simulating Wayfinding by Architecture in Multilevel Buildings. in A Chronis, G Wurzer, WE Lorenz, CM Herr, U Pont, D Cupkova & G Wainer (eds), 2020 Proceedings of the Symposium on Simulation for Architecture and Urban Design. SimAUD, pp. 27-34, SimAUD2020, Online, 25/05/20. <http://www.simaud.org/proceedings/>

APA

Gath-Morad, M., Aguilar, L., Conroy-Dalton, R., & Hölscher, C. (2020). cogARCH: Simulating Wayfinding by Architecture in Multilevel Buildings. In A. Chronis, G. Wurzer, W. E. Lorenz, C. M. Herr, U. Pont, D. Cupkova, & G. Wainer (Eds.), 2020 Proceedings of the Symposium on Simulation for Architecture and Urban Design (pp. 27-34). SimAUD. http://www.simaud.org/proceedings/

Vancouver

Gath-Morad M, Aguilar L, Conroy-Dalton R, Hölscher C. cogARCH: Simulating Wayfinding by Architecture in Multilevel Buildings. In Chronis A, Wurzer G, Lorenz WE, Herr CM, Pont U, Cupkova D, Wainer G, editors, 2020 Proceedings of the Symposium on Simulation for Architecture and Urban Design. SimAUD. 2020. p. 27-34

Author

Gath-Morad, Michal ; Aguilar, Leonel ; Conroy-Dalton, Ruth et al. / cogARCH : Simulating Wayfinding by Architecture in Multilevel Buildings. 2020 Proceedings of the Symposium on Simulation for Architecture and Urban Design. editor / Angelos Chronis ; Gabriel Wurzer ; Wolfgang E. Lorenz ; Christiane M. Herr ; Ulrich Pont ; Dana Cupkova ; Gabriel Wainer. SimAUD, 2020. pp. 27-34

Bibtex

@inproceedings{60429d8a82ef4b89aa8c981f9842152f,
title = "cogARCH: Simulating Wayfinding by Architecture in Multilevel Buildings",
abstract = "Findings from cognitive science link the architectural complexity of multilevel buildings with occupants{\textquoteright} difficulty in orienting and finding their way. Nevertheless, current approaches to modelling occupants{\textquoteright} 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{\textquoteright} 3D field of view and buildings{\textquoteright} 3D geometry, topology, or semantics, yet these are necessary to inform occupants{\textquoteright} 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{\textquoteright} 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{\textquoteright} 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.",
author = "Michal Gath-Morad and Leonel Aguilar and Ruth Conroy-Dalton and Christoph H{\"o}lscher",
year = "2020",
month = may,
day = "25",
language = "English",
isbn = "1565553713",
pages = "27--34",
editor = "Angelos Chronis and Gabriel Wurzer and Lorenz, {Wolfgang E.} and Herr, {Christiane M.} and Ulrich Pont and Dana Cupkova and Gabriel Wainer",
booktitle = "2020 Proceedings of the Symposium on Simulation for Architecture and Urban Design",
publisher = "SimAUD",
note = "SimAUD2020 : Symposium on Simulation in Architecture + Urban Design, SIMAUD ; Conference date: 25-05-2020 Through 27-05-2020",
url = "http://www.simaud.org/2020/",

}

RIS

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 -