The conceptual model for the real-time navigation in Augmented Reality (AR) technology for mobile platform

The advent of augmented reality (AR) technology has revolutionized the way we navigate in the physical world. However, despite the increasing popularity of ARbased navigation apps, there is still a lack of understanding of what features and functionalities users prefer in such apps. Therefore, thi...

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Main Author: Ting, Qiao Thong
Format: Final Year Project / Dissertation / Thesis
Published: 2023
Subjects:
Online Access:http://eprints.utar.edu.my/6025/1/fyp_IB_2023_TQT.pdf
http://eprints.utar.edu.my/6025/
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Institution: Universiti Tunku Abdul Rahman
id my-utar-eprints.6025
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spelling my-utar-eprints.60252024-01-02T16:24:05Z The conceptual model for the real-time navigation in Augmented Reality (AR) technology for mobile platform Ting, Qiao Thong T Technology (General) The advent of augmented reality (AR) technology has revolutionized the way we navigate in the physical world. However, despite the increasing popularity of ARbased navigation apps, there is still a lack of understanding of what features and functionalities users prefer in such apps. Therefore, this research project aims to develop a conceptual model for an interactive and compelling real-time AR-based navigation experience for mobile platforms. To achieve this, the study will employ a mixed-methods approach that involves conducting a survey to collect data from the general public to better understand their preferences and requirements. The collected responses will be analyzed and interpreted to identify the key features that users prefer in real-time AR navigation apps. Additionally, an analysis of existing literature and sentiment analysis and topic modelling will be carried out on AR-based navigation apps to get an understanding of the user's preferences and vital features that contribute to a great user experience. Based on the results of the data analysis, a conceptual model for the AR-based navigation app will be proposed. The proposed conceptual model will be based on the analysis of user preferences and requirements, as well as the analysis of existing literature and apps related to AR real-time navigation on mobile platforms. The model will aim to address the identified gaps and meet the requirements of users by providing an intuitive and interactive navigation experience using AR technology. Overall, this research project aims to provide insights into the user's preferences and requirements for AR-based navigation apps on mobile platforms and to propose a conceptual model for the development of an interactive and compelling real-time ARbased navigation experience. 2023-05 Final Year Project / Dissertation / Thesis NonPeerReviewed application/pdf http://eprints.utar.edu.my/6025/1/fyp_IB_2023_TQT.pdf Ting, Qiao Thong (2023) The conceptual model for the real-time navigation in Augmented Reality (AR) technology for mobile platform. Final Year Project, UTAR. http://eprints.utar.edu.my/6025/
institution Universiti Tunku Abdul Rahman
building UTAR Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tunku Abdul Rahman
content_source UTAR Institutional Repository
url_provider http://eprints.utar.edu.my
topic T Technology (General)
spellingShingle T Technology (General)
Ting, Qiao Thong
The conceptual model for the real-time navigation in Augmented Reality (AR) technology for mobile platform
description The advent of augmented reality (AR) technology has revolutionized the way we navigate in the physical world. However, despite the increasing popularity of ARbased navigation apps, there is still a lack of understanding of what features and functionalities users prefer in such apps. Therefore, this research project aims to develop a conceptual model for an interactive and compelling real-time AR-based navigation experience for mobile platforms. To achieve this, the study will employ a mixed-methods approach that involves conducting a survey to collect data from the general public to better understand their preferences and requirements. The collected responses will be analyzed and interpreted to identify the key features that users prefer in real-time AR navigation apps. Additionally, an analysis of existing literature and sentiment analysis and topic modelling will be carried out on AR-based navigation apps to get an understanding of the user's preferences and vital features that contribute to a great user experience. Based on the results of the data analysis, a conceptual model for the AR-based navigation app will be proposed. The proposed conceptual model will be based on the analysis of user preferences and requirements, as well as the analysis of existing literature and apps related to AR real-time navigation on mobile platforms. The model will aim to address the identified gaps and meet the requirements of users by providing an intuitive and interactive navigation experience using AR technology. Overall, this research project aims to provide insights into the user's preferences and requirements for AR-based navigation apps on mobile platforms and to propose a conceptual model for the development of an interactive and compelling real-time ARbased navigation experience.
format Final Year Project / Dissertation / Thesis
author Ting, Qiao Thong
author_facet Ting, Qiao Thong
author_sort Ting, Qiao Thong
title The conceptual model for the real-time navigation in Augmented Reality (AR) technology for mobile platform
title_short The conceptual model for the real-time navigation in Augmented Reality (AR) technology for mobile platform
title_full The conceptual model for the real-time navigation in Augmented Reality (AR) technology for mobile platform
title_fullStr The conceptual model for the real-time navigation in Augmented Reality (AR) technology for mobile platform
title_full_unstemmed The conceptual model for the real-time navigation in Augmented Reality (AR) technology for mobile platform
title_sort conceptual model for the real-time navigation in augmented reality (ar) technology for mobile platform
publishDate 2023
url http://eprints.utar.edu.my/6025/1/fyp_IB_2023_TQT.pdf
http://eprints.utar.edu.my/6025/
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