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Wayfinding decision situations: a conceptual model and evaluation


Giannopoulos, Ioannis; Kiefer, Peter; Raubal, Martin; Richter, Kai-Florian; Thrash, Tyler (2014). Wayfinding decision situations: a conceptual model and evaluation. In: Duckham, Matt; Pebesma, Edzer; Stewart, Kathleen; Frank, Andrew U. Geographic Information Science. Berlin: Springer, 221-234.

Abstract

Humans engage in wayfinding many times a day. We try to find our way in urban environments when walking towards our work places or when visiting a city as tourists. In order to reach the targeted destination, we have to make a series of wayfinding decisions of varying complexity. Previous research has focused on classifying the complexity of these wayfinding decisions, primarily looking at the complexity of the decision point itself (e.g., the number of possible routes or branches). In this paper, we proceed one step further by incorporating the user, instructions, and environmental factors into a model that assesses the complexity of a wayfinding decision. We constructed and evaluated three models using data collected from an outdoor wayfinding study. Our results suggest that additional factors approximate the complexity of a wayfinding decision better than the simple model using only the number of branches as a criterion.

Abstract

Humans engage in wayfinding many times a day. We try to find our way in urban environments when walking towards our work places or when visiting a city as tourists. In order to reach the targeted destination, we have to make a series of wayfinding decisions of varying complexity. Previous research has focused on classifying the complexity of these wayfinding decisions, primarily looking at the complexity of the decision point itself (e.g., the number of possible routes or branches). In this paper, we proceed one step further by incorporating the user, instructions, and environmental factors into a model that assesses the complexity of a wayfinding decision. We constructed and evaluated three models using data collected from an outdoor wayfinding study. Our results suggest that additional factors approximate the complexity of a wayfinding decision better than the simple model using only the number of branches as a criterion.

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Additional indexing

Item Type:Book Section, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Geography
Dewey Decimal Classification:910 Geography & travel
Language:English
Date:2014
Deposited On:30 Sep 2014 12:17
Last Modified:27 Apr 2017 21:22
Publisher:Springer
ISSN:0302-9743
ISBN:978-3-319-11592-4
Additional Information:8th International Conference, GIScience 2014, Vienna, Austria, September 24-26, 2014. Proceedings
Publisher DOI:https://doi.org/10.1007/978-3-319-11593-1_15

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