User Behavior Adaptive AR Guidance for Wayfinding and Tasks Completion

Augmented reality (AR) is widely used to guide users when performing complex tasks, for example, in education or industry. Sometimes, these tasks are a succession of subtasks, possibly distant from each other. This can happen, for instance, in inspection operations, where AR devices can give instruc...

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Autores principales:	Camille Truong-Allié, Alexis Paljic, Alexis Roux, Martin Herbeth
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	augmented reality wayfinding multitask large space head-mounted display Technology T Science Q
Acceso en línea:	https://doaj.org/article/a2c2126536c043a28ea3df666459a249
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id	oai:doaj.org-article:a2c2126536c043a28ea3df666459a249
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spelling	oai:doaj.org-article:a2c2126536c043a28ea3df666459a2492021-11-25T18:29:35ZUser Behavior Adaptive AR Guidance for Wayfinding and Tasks Completion10.3390/mti51100652414-4088https://doaj.org/article/a2c2126536c043a28ea3df666459a2492021-10-01T00:00:00Zhttps://www.mdpi.com/2414-4088/5/11/65https://doaj.org/toc/2414-4088Augmented reality (AR) is widely used to guide users when performing complex tasks, for example, in education or industry. Sometimes, these tasks are a succession of subtasks, possibly distant from each other. This can happen, for instance, in inspection operations, where AR devices can give instructions about subtasks to perform in several rooms. In this case, AR guidance is both needed to indicate where to head to perform the subtasks and to instruct the user about how to perform these subtasks. In this paper, we propose an approach based on user activity detection. An AR device displays the guidance for wayfinding when current user activity suggests it is needed. We designed the first prototype on a head-mounted display using a neural network for user activity detection and compared it with two other guidance temporality strategies, in terms of efficiency and user preferences. Our results show that the most efficient guidance temporality depends on user familiarity with the AR display. While our proposed guidance has not proven to be more efficient than the other two, our experiment hints toward several improvements of our prototype, which is a first step in the direction of efficient guidance for both wayfinding and complex task completion.Camille Truong-AlliéAlexis PaljicAlexis RouxMartin HerbethMDPI AGarticleaugmented realitywayfindingmultitasklarge spacehead-mounted displayTechnologyTScienceQENMultimodal Technologies and Interaction, Vol 5, Iss 65, p 65 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	augmented reality wayfinding multitask large space head-mounted display Technology T Science Q
spellingShingle	augmented reality wayfinding multitask large space head-mounted display Technology T Science Q Camille Truong-Allié Alexis Paljic Alexis Roux Martin Herbeth User Behavior Adaptive AR Guidance for Wayfinding and Tasks Completion
description	Augmented reality (AR) is widely used to guide users when performing complex tasks, for example, in education or industry. Sometimes, these tasks are a succession of subtasks, possibly distant from each other. This can happen, for instance, in inspection operations, where AR devices can give instructions about subtasks to perform in several rooms. In this case, AR guidance is both needed to indicate where to head to perform the subtasks and to instruct the user about how to perform these subtasks. In this paper, we propose an approach based on user activity detection. An AR device displays the guidance for wayfinding when current user activity suggests it is needed. We designed the first prototype on a head-mounted display using a neural network for user activity detection and compared it with two other guidance temporality strategies, in terms of efficiency and user preferences. Our results show that the most efficient guidance temporality depends on user familiarity with the AR display. While our proposed guidance has not proven to be more efficient than the other two, our experiment hints toward several improvements of our prototype, which is a first step in the direction of efficient guidance for both wayfinding and complex task completion.
format	article
author	Camille Truong-Allié Alexis Paljic Alexis Roux Martin Herbeth
author_facet	Camille Truong-Allié Alexis Paljic Alexis Roux Martin Herbeth
author_sort	Camille Truong-Allié
title	User Behavior Adaptive AR Guidance for Wayfinding and Tasks Completion
title_short	User Behavior Adaptive AR Guidance for Wayfinding and Tasks Completion
title_full	User Behavior Adaptive AR Guidance for Wayfinding and Tasks Completion
title_fullStr	User Behavior Adaptive AR Guidance for Wayfinding and Tasks Completion
title_full_unstemmed	User Behavior Adaptive AR Guidance for Wayfinding and Tasks Completion
title_sort	user behavior adaptive ar guidance for wayfinding and tasks completion
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/a2c2126536c043a28ea3df666459a249
work_keys_str_mv	AT camilletruongallie userbehavioradaptivearguidanceforwayfindingandtaskscompletion AT alexispaljic userbehavioradaptivearguidanceforwayfindingandtaskscompletion AT alexisroux userbehavioradaptivearguidanceforwayfindingandtaskscompletion AT martinherbeth userbehavioradaptivearguidanceforwayfindingandtaskscompletion
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User Behavior Adaptive AR Guidance for Wayfinding and Tasks Completion

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