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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/37111/2/optimizing_three.pdf
http://irep.iium.edu.my/37111/
http://dsr-conferences.co.uk/acsat/acsat2013/
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spelling my.iium.irep.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 REM 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/
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
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/37111/2/optimizing_three.pdf
http://irep.iium.edu.my/37111/
http://dsr-conferences.co.uk/acsat/acsat2013/
_version_ 1643611134940413952
score 13.211869

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