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iMAP-CampUS: a theoretical framework to measure user's behavioural intention in augmented reality

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posted on 2022-03-28, 00:44 authored by Hamed Alqahtani
As technology penetrates into our lives, the vital need for institutions to provide rapid access to information has grown. Recently, Augmented Reality (AR) has emerged as a technology for educational institutions to enhance users' experience by overlaying computational information into their reality. iMAP_CampUS is a mobile AR application showing campus-related information superimposed on a map of Macquarie University. Using iMAP_CampUS app, our goal is to investigate the factors influencing the acceptance of a typical mobile AR system. The thesis proposes a theoretical framework with 14 research hypotheses based on UTAUT, IS success factors and Motivation theory. This framework is empirically examined using web-based survey data from a sample of 86 users. We use Structural Equation Modeling (SEM) and Partial Least Squares (PLS) to evaluate the acceptance and behavioural intention to use iMAP-CampUS app. The results indicate that ten research hypotheses have been significantly supported, while four have been rejected. The findings state that perceived enjoyment and user's satisfaction are important determinants for the use of iMap-CampUS. However, performance expectancy has not demonstrated any significant impacts on behavioural intention to use the app. We believe this research has both practical and theoretical implications on the design of future mobile AR apps.

History

Table of Contents

Chapter 1. Introduction -- Chapter 2. Literature review -- Chapter 3. iMAP_CampUS -- Chapter 4. Methodology -- Chapter 5. Data analysis, results and discussion -- Chapter 6. Conclusion -- References -- Appendices.

Notes

Bibliography: pages 1-6 Empirical thesis.

Awarding Institution

Macquarie University

Degree Type

Thesis MRes

Degree

MRes, Macquarie University, Faculty of Science and Engineering, Department of Computing

Department, Centre or School

Department of Computing

Year of Award

2017

Principal Supervisor

Manolya Kavakli

Additional Supervisor 1

Rajan Shankaran

Rights

Copyright Hamed Alqahtani 2017. Copyright disclaimer: http://mq.edu.au/library/copyright

Language

English

Extent

1 online resource (x, 31, 6, 14 pages) diagrams, graphs, tables

Former Identifiers

mq:71335 http://hdl.handle.net/1959.14/1273302

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