Components of Adaptive Augmented Reality Model for Heritage Mobile Application
Dublin Core
Title
Components of Adaptive Augmented Reality Model for Heritage Mobile Application
Subject
mobile augmented reality
adaptive
engagement
Description
Adaptive augmented reality (AAR) is the latest concept of the augmented reality that responds and adapts to a real-time context and thecharacteristics of the users. This concept is said to provide adaptation of 3Daugmented reality, better engagement and more emotional experience to theusers. In AAR, the information is provided to the users through interaction tracking and sensor on the device. However, this technology is still in itsinfancy. Therefore, a study to explore positive ways of providing relevantinformation that can enhance user experience is urgently required. Theobjective of this paper is to identify the components of an AAR model forheritage mobile application. It is hypothesized that such model would enhance user experience and provide better engagement. Consequently, models from past studies on Augmented Reality, UX Design and storytelling are reviewed. Findings indicate that personalization and emotion are among the important components. Inclusion of these components seems to allow users to be more engaged and inspired to learn about the cultural heritage, hence enhances user experience.
Creator
Tenh, Hock Kuan
Shiratuddin, Norshuhada
Source
International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 02 (2022); pp. 17-27
1865-7923
Publisher
International Association of Online Engineering (IAOE), Vienna, Austria
Date
2022-01-28
Rights
Copyright (c) 2021 HOCK KUAN TENH, Norshuhada Shiratuddin
https://creativecommons.org/licenses/by/4.0
Relation
Format
application/pdf
Language
eng
Type
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
Identifier
Citation
Hock Tenh Kuan and Norshuhada Shiratuddin, Components of Adaptive Augmented Reality Model for Heritage Mobile Application, International Association of Online Engineering (IAOE), Vienna, Austria, 2022, accessed November 22, 2024, https://igi.indrastra.com/items/show/2163