Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
PATH-U: A data-driven agent-based wayfinding model incorporating perceived path uncertainty and cognitive strategies in unfamiliar indoor environments
As built environments become more complex, indoor wayfinding challenges increase, especially for first-time visitors. Effective wayfinding design and signage are crucial for helping people reach their destinations. Occupant simulations can analyze these features before construction and identify potential issues. However, current models for human wayfinding in unfamiliar environments are limited and rarely predict continuous experiences like perceived path uncertainty. This study developed an integrated agent-based model called “PATH-U”, which simulates multi-floor wayfinding tasks without prior knowledge of the environment and provides feedback on uncertainty levels. This model is based on an observational study with 39 participants completing 273 wayfinding tasks in a complex university building. We developed a path-planning model incorporating visual perception, natural movements, short-term memory, heuristic strategies, and a data-driven multiple linear regression model for uncertainty prediction based on data from 28 participants. Validation with data from 11 participants under a different signage condition shows that the model mostly mirrors human wayfinding behavior and perceived uncertainty, with a few notable discrepancies. The findings suggest that wayfinding design should consider spatial dimensions, confirmational signage, and enhanced cues at crucial intersections to reduce uncertainty and improve performance. Future simulations should incorporate on-route behaviors and environmental reasoning.
PATH-U: A data-driven agent-based wayfinding model incorporating perceived path uncertainty and cognitive strategies in unfamiliar indoor environments
As built environments become more complex, indoor wayfinding challenges increase, especially for first-time visitors. Effective wayfinding design and signage are crucial for helping people reach their destinations. Occupant simulations can analyze these features before construction and identify potential issues. However, current models for human wayfinding in unfamiliar environments are limited and rarely predict continuous experiences like perceived path uncertainty. This study developed an integrated agent-based model called “PATH-U”, which simulates multi-floor wayfinding tasks without prior knowledge of the environment and provides feedback on uncertainty levels. This model is based on an observational study with 39 participants completing 273 wayfinding tasks in a complex university building. We developed a path-planning model incorporating visual perception, natural movements, short-term memory, heuristic strategies, and a data-driven multiple linear regression model for uncertainty prediction based on data from 28 participants. Validation with data from 11 participants under a different signage condition shows that the model mostly mirrors human wayfinding behavior and perceived uncertainty, with a few notable discrepancies. The findings suggest that wayfinding design should consider spatial dimensions, confirmational signage, and enhanced cues at crucial intersections to reduce uncertainty and improve performance. Future simulations should incorporate on-route behaviors and environmental reasoning.
PATH-U: A data-driven agent-based wayfinding model incorporating perceived path uncertainty and cognitive strategies in unfamiliar indoor environments
Build. Simul.
Yang, Qi (Autor:in) / Dubey, Rohit K. (Autor:in) / Kalantari, Saleh (Autor:in)
Building Simulation ; 18 ; 449-471
01.02.2025
23 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
perceived path uncertainty , indoor wayfinding , data-driven agent , cognitive agent , simulation Psychology and Cognitive Sciences , Psychology , Information and Computing Sciences , Artificial Intelligence and Image Processing , Engineering , Building Construction and Design , Engineering Thermodynamics, Heat and Mass Transfer , Atmospheric Protection/Air Quality Control/Air Pollution , Monitoring/Environmental Analysis
An agent-based indoor wayfinding based on digital sign system
| British Library Conference Proceedings | 2008
| BASE | 2012
Online Contents | 1990