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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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