Optimizing three-dimensional (3D) map view on mobile devices as navigation aids using artificial neural network

Prior research on real-world way-finding and environmental design principles has shown that effective virtual design supports skilled way-finding behaviour. Darken and Cevik [1] proved that augmentations such as direction indicators, maps and path restriction greatly improve way finding performance...

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Main Authors:	Abubakar, Adamu, Zeki, Akram M., Chiroma, Haruna
Format:	Conference or Workshop Item
Language:	English
Published:	2013
Subjects:	Q Science (General)
Online Access:	http://irep.iium.edu.my/37111/ http://irep.iium.edu.my/37111/ http://irep.iium.edu.my/37111/2/optimizing_three.pdf

id	iium-37111
recordtype	eprints
spelling	iium-371112014-12-27T04:59:47Z http://irep.iium.edu.my/37111/ Optimizing three-dimensional (3D) map view on mobile devices as navigation aids using artificial neural network Abubakar, Adamu Zeki, Akram M. Chiroma, Haruna Q Science (General) Prior research on real-world way-finding and environmental design principles has shown that effective virtual design supports skilled way-finding behaviour. Darken and Cevik [1] proved that augmentations such as direction indicators, maps and path restriction greatly improve way finding performance and achieve overall user satisfaction when represented in large-scale virtual structures. This study includes a control variable (screen size of a mobile device) that was not previously considered as a means in improving way finding given the increased use of 3D maps for mobile devices as navigation aids. A subjective experiment was carried out in order to determine the user preferences. The result indicated that the screen size of mobile devices suitable for navigation aid is directly related to the perceived effectiveness and that pictorially realistic satellite imagery that allows 3D view manipulation does not depend on screen size. Through an artificial neural network, the users' perception was compared to the screen size of mobile devices and the analysis showed that medium to large screen sized mobile devices are most commonly used for navigation and that the small screen of mobile devices was not affected by the presence or absence of 3D effects in monocular static displays. 2013-12-23 Conference or Workshop Item NonPeerReviewed application/pdf en http://irep.iium.edu.my/37111/2/optimizing_three.pdf Abubakar, Adamu and Zeki, Akram M. and Chiroma, Haruna (2013) Optimizing three-dimensional (3D) map view on mobile devices as navigation aids using artificial neural network. In: 2013 International Conference on Advanced Computer Science Applications and Technologies (ACSAT), 23-24 Dec. 2013, Kuching, Sarawak. http://dsr-conferences.co.uk/acsat/acsat2013/
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	Q Science (General)
spellingShingle	Q Science (General) Abubakar, Adamu Zeki, Akram M. Chiroma, Haruna Optimizing three-dimensional (3D) map view on mobile devices as navigation aids using artificial neural network
description	Prior research on real-world way-finding and environmental design principles has shown that effective virtual design supports skilled way-finding behaviour. Darken and Cevik [1] proved that augmentations such as direction indicators, maps and path restriction greatly improve way finding performance and achieve overall user satisfaction when represented in large-scale virtual structures. This study includes a control variable (screen size of a mobile device) that was not previously considered as a means in improving way finding given the increased use of 3D maps for mobile devices as navigation aids. A subjective experiment was carried out in order to determine the user preferences. The result indicated that the screen size of mobile devices suitable for navigation aid is directly related to the perceived effectiveness and that pictorially realistic satellite imagery that allows 3D view manipulation does not depend on screen size. Through an artificial neural network, the users' perception was compared to the screen size of mobile devices and the analysis showed that medium to large screen sized mobile devices are most commonly used for navigation and that the small screen of mobile devices was not affected by the presence or absence of 3D effects in monocular static displays.
format	Conference or Workshop Item
author	Abubakar, Adamu Zeki, Akram M. Chiroma, Haruna
author_facet	Abubakar, Adamu Zeki, Akram M. Chiroma, Haruna
author_sort	Abubakar, Adamu
title	Optimizing three-dimensional (3D) map view on mobile devices as navigation aids using artificial neural network
title_short	Optimizing three-dimensional (3D) map view on mobile devices as navigation aids using artificial neural network
title_full	Optimizing three-dimensional (3D) map view on mobile devices as navigation aids using artificial neural network
title_fullStr	Optimizing three-dimensional (3D) map view on mobile devices as navigation aids using artificial neural network
title_full_unstemmed	Optimizing three-dimensional (3D) map view on mobile devices as navigation aids using artificial neural network
title_sort	optimizing three-dimensional (3d) map view on mobile devices as navigation aids using artificial neural network
publishDate	2013
url	http://irep.iium.edu.my/37111/ http://irep.iium.edu.my/37111/ http://irep.iium.edu.my/37111/2/optimizing_three.pdf
first_indexed	2023-09-18T20:53:13Z
last_indexed	2023-09-18T20:53:13Z
_version_	1777410132932558848

Optimizing three-dimensional (3D) map view on mobile devices as navigation aids using artificial neural network

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