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Hauptverfasser: Liu, Kai, Aebersold, Michelle L., Lindquist, Mark, Gao, Haoting
Format: Preprint
Veröffentlicht: 2025
Schlagworte:
Online-Zugang:https://arxiv.org/abs/2601.00001
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author Liu, Kai
Aebersold, Michelle L.
Lindquist, Mark
Gao, Haoting
author_facet Liu, Kai
Aebersold, Michelle L.
Lindquist, Mark
Gao, Haoting
contents Hospitals are among the most cognitively demanding indoor environments, especially for patients and visitors unfamiliar with their layout. This study investigates the effectiveness of an augmented reality (AR)-based handheld navigation system compared to traditional paper maps in a large hospital setting. Through a mixed-methods experiment with 32 participants, we measured navigation performance, cognitive workload (NASA-TLX), situational anxiety (STAI-State), spatial behavior, and user satisfaction. Results show that AR users completed navigation tasks significantly faster, made fewer errors, and reported lower anxiety and workload. However, paper map users demonstrated stronger spatial memory in sketch-based recall tasks, highlighting a trade-off between real-time efficiency and long-term spatial learning. We discuss implications for inclusive AR design, spatial cognition, and healthcare accessibility, offering actionable design strategies for adaptive indoor navigation tools.
format Preprint
id arxiv_https___arxiv_org_abs_2601_00001
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Augmented Reality Indoor Wayfinding in Hospital Environments An Empirical Study on Navigation Efficiency, User Experience, and Cognitive Load
Liu, Kai
Aebersold, Michelle L.
Lindquist, Mark
Gao, Haoting
Human-Computer Interaction
Hospitals are among the most cognitively demanding indoor environments, especially for patients and visitors unfamiliar with their layout. This study investigates the effectiveness of an augmented reality (AR)-based handheld navigation system compared to traditional paper maps in a large hospital setting. Through a mixed-methods experiment with 32 participants, we measured navigation performance, cognitive workload (NASA-TLX), situational anxiety (STAI-State), spatial behavior, and user satisfaction. Results show that AR users completed navigation tasks significantly faster, made fewer errors, and reported lower anxiety and workload. However, paper map users demonstrated stronger spatial memory in sketch-based recall tasks, highlighting a trade-off between real-time efficiency and long-term spatial learning. We discuss implications for inclusive AR design, spatial cognition, and healthcare accessibility, offering actionable design strategies for adaptive indoor navigation tools.
title Augmented Reality Indoor Wayfinding in Hospital Environments An Empirical Study on Navigation Efficiency, User Experience, and Cognitive Load
topic Human-Computer Interaction
url https://arxiv.org/abs/2601.00001