Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/2268
Title: Defining Core Knowledge Elements of Adaptive Augmented Reality (A2R) through Conceptual Model Analysis
Authors: Norshuhada Shiratuddin 
Tenh, Hock Kuan 
Keywords: knowledge element;augmented reality;adaptive;conceptual model.
Issue Date: 2021
Publisher: School of Computing, College of Arts and Sciences, Universiti Utara Malaysia.
Conference: KNOWLEDGE MANAGEMENT INTERNATION CONFERENCE (KMICe) 2021 
Abstract: 
In this paper, a number of past studies on Adaptive Augmented Reality are scrutinized in order to define the core knowledge elements of adaptive concept. Through model analysis, where four past models were considered; components of such concept were gathered and proposed as a formal definition. Such components were included in a heritage tourism app running on mobile devices. Findings indicated that such core elements are indeed accepted as necessary in defining adaptive augmented reality concept. A Usability test was administered to all the respondents in order to record the app perceived effectiveness, efficiency, learnability, satisfaction and error. The overall score gets a high mean, where all five attributes gathered positive responses from users.
Description: 
Others
URI: http://hdl.handle.net/123456789/2268
ISSN: 0128-0511
Appears in Collections:Faculty of Creative Technology & Heritage - Proceedings

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