Uncertainty in Wayfinding: A Conceptual Framework and Agent-Based Model
OPEN ACCESS
Loading...
Author / Producer
Date
2017
Publication Type
Conference Paper
ETH Bibliography
yes
Citations
Altmetric
OPEN ACCESS
Data
Rights / License
Abstract
Though the wayfinding process is inherently uncertain, most models of wayfinding do not offer sufficient possibilities for modeling uncertainty. Such modeling approaches, however, are required to engineer assistance systems that recognize, predict, and react to a wayfinder's uncertainty. This paper introduces a conceptual framework for modeling uncertainty in wayfinding. It is supposed that uncertainty when following route instructions in wayfinding is caused by non-deterministic spatial reference system transformations. The uncertainty experienced by a wayfinder varies over time and depends on how well wayfinding instructions fit with the environment. The conceptual framework includes individual differences regarding wayfinding skills and regarding uncertainty tolerance. It is implemented as an agent-based model, based on the belief-desire-intention (BDI) framework. The feasibility of the approach is demonstrated with agent-based simulations.
Permanent link
Publication status
published
Book title
13th International Conference on Spatial Information Theory (COSIT 2017)
Volume
86
Pages / Article No.
15
Publisher
Schloss Dagstuhl – Leibniz-Zentrum für Informatik
Event
13th International Conference on Spatial Information Theory (COSIT 2017)
Edition / version
Methods
Software
Geographic location
Date collected
Date created
Subject
Computer Science; 000 Computer science, knowledge, general works; Wayfinding; Uncertainty; Agent-based model
Organisational unit
03901 - Raubal, Martin / Raubal, Martin