University of Twente Student Theses


An Implementation Methodology for Augmented Reality Applications

Phan, T.H.G. (2023) An Implementation Methodology for Augmented Reality Applications.

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Abstract:Objective: To develop an industry-agnostic, tool-agnostic Augmented Reality implementation methodology (ARIM) for guiding the implementation of AR use cases across different industries (i.e., industry-agnostic). The methodology should assist project teams in choosing suitable AR tools for their target use cases instead of prescribing any specific tool (i.e., tool-agnostic). Methods: The research consists of phase 1 literature review and phase 2 artifact design. The literature review sets the scientific foundation for the artifact and identified research gaps in existing AR implementation frameworks. The identified research gaps translate to three key questions to be answered by the ARIM: 1. How to determine if a process can be enhanced with the use of AR? 2. How to determine which AR platform (webAR vs. native AR vs. AR headset) is most suitable for the selected process? 3. How to determine which AR development tools (tracking and rendering engines) are most suitable for the selected process and AR platform? To answer the first question, 39 academic and industry AR use cases for multiple sectors (industrials, entertainment, healthcare, education, emergency & rescue, military, and miscellaneous sectors) were reviewed to synthesize common characteristics which make a process an ideal candidate for AR. To answer the remaining two questions, success factors for AR adoptions from existing literature were translated to high-level selection criteria for AR platforms and AR development tools. These high-level selection criteria are further contextualized with example AR use cases and subsequently decomposed into low-level selection criteria. With this approach, the ARIM is firmly built upon AR adoption success factors, enabling AR solutions implemented using the methodology to achieve high user acceptance. Results: The proposed ARIM is illustrated in Figure 46. For demonstrating how the proposed ARIM can be used in practice, a webAR application for monitoring the health of houseplants is implemented as guided by the ARIM. For validating how useful the ARIM is, three semi-structured interviews were conducted with Accenture’s industry experts. Experts responded positively to the simplicity, thoroughness, and value-add of the methodology. Additionally, expert feedback was used to further finetune and align the methodology with Accenture’s current practice – see the revised ARIM in Figure 52.
Item Type:Essay (Master)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science
Programme:Business Information Technology MSc (60025)
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