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Investigating route learning, metacognition, and beacon-based strategies using virtual environments

Lingwood, J., Farran, E.K., Courbois, Y. and Blades, M. (2020) Investigating route learning, metacognition, and beacon-based strategies using virtual environments European Review of Applied Psychology, 70 (4), 100570.

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Using virtual environments to investigate wayfinding in adults - AAM.docx - Accepted version Manuscript
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Abstract

Introduction

Dominant theories of wayfinding may have underestimated the ease with which adults can learn a route, even with minimal exposure to that route.

Objectives

In this paper we present three different experiments to provide a comprehensive picture of whether adults can learn complex routes consisting of a number of choicepoints, and if so, what strategies they might be employing to do so.

Method

and results We found that adults could learn a 15-junction route after only a single experience of the route (Experiment 1) but that they underestimated how good they would be at learning the 15-junction route (Experiment 2). In Experiment 3, we found that when learning a route made up of “T” shaped junctions, participants relied on a “beacon” strategy based on visual matching.

Conclusions

Collectively, these findings suggest that adults can learn complex routes, even with as many as 15 choicepoints, very quickly and without the need for repeated exposure. These findings have implications for theories of wayfinding and call into question the need for repeated exposure.

Item Type: Article
Divisions : Faculty of Health and Medical Sciences > School of Psychology
Authors :
NameEmailORCID
Lingwood, J.
Farran, E.K.e.farran@surrey.ac.uk
Courbois, Y.
Blades, M.
Date : October 2020
Funders : Economic and Social Research Council (ESRC)
DOI : 10.1016/j.erap.2020.100570
Copyright Disclaimer : © 2020. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
Uncontrolled Keywords : Wayfinding; Virtual environments; Landmarks; Route learning; Strategies; Visual matching
Depositing User : Clive Harris
Date Deposited : 07 Oct 2020 16:27
Last Modified : 07 Oct 2020 16:27
URI: http://epubs.surrey.ac.uk/id/eprint/858710

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