Preprint Review Version 1 Preserved in Portico This version is not peer-reviewed

Project Management’s Triple Constraints Mapping on Augmented Reality based Learning System for Improved Quality

Version 1 : Received: 5 December 2019 / Approved: 9 December 2019 / Online: 9 December 2019 (09:17:17 CET)

How to cite: Sirshar, M.; Ali, S.H.; Baig, H.S. Project Management’s Triple Constraints Mapping on Augmented Reality based Learning System for Improved Quality. Preprints 2019, 2019120121. https://doi.org/10.20944/preprints201912.0121.v1 Sirshar, M.; Ali, S.H.; Baig, H.S. Project Management’s Triple Constraints Mapping on Augmented Reality based Learning System for Improved Quality. Preprints 2019, 2019120121. https://doi.org/10.20944/preprints201912.0121.v1

Abstract

Over the last few decades there has been an exponential growth in IT, motivating IT professionals and scientists to explore new dimensions resulting in the advancement of artificial intelligence and its subcategories like computer vision, deep learning and augmented reality. AR is comparatively a new area which was initially explored for gaming but recently a lot of work has been done in education using AR. Most of this focuses on improving students understanding and motivation. Like any other project, the performance of an AR based project is determined by the customer satisfaction which is usually affected by the theory of triple constraints; cost, time and scope. many studies have shown that most of the projects are under development because they are unable to overcome these constraints and meet project objectives. We were unable to find any notable work done regarding project management for augmented reality systems and application. Therefore, in this paper, we propose a system for management of AR applications which mainly focuses on catering triple constraints to meet desired objectives. Each variable is further divided into subprocesses and by following these processes successful completion of the project can be achieved.

Keywords

triple constraints; augmented reality; Augmented reality-based learning systems; time; cost; scope; artificial intelligence; education

Subject

Engineering, Control and Systems Engineering

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