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Comparing route learning in drivers using conventional navigation assistance devices and a hypothetical augmented reality system
Thesis   Open access

Comparing route learning in drivers using conventional navigation assistance devices and a hypothetical augmented reality system

Zachary Franklin Yount
University of West Florida Libraries
Master of Arts (MA), University of West Florida
2020

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Abstract

Current trends point towards the development and implementation of augmented reality (AR) navigation assistance systems for drivers. Previous research has found augmented reality can benefit driving performance, but the impact of AR on route learning (spatial knowledge acquisition) has received less attention. The current study used simulated driving scenarios to determine how the type of navigation aid device used (i.e., paper map, electronic map, and AR system) affected driving performance and route learning. Route learning was examined at landmark, route, and survey levels. The hypotheses tested were that AR would improve driving performance, but diminish route learning compared to paper map use; that AR would outperform electronic map use in both driving performance and route learning; and that experts and novices would be affected differently. Paper map use resulted in poorer driving performance and greater route learning, but map recognition may be a confounding factor in higher level spatial knowledge acquisition with paper map use. Driving performance and route learning were similar for drivers using the electronic map and AR, but there were differences that suggest drivers have reduced uncertainty and hesitation while using AR to navigate in unfamiliar areas. Differences between expert and novice drivers were not found.
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