Creating More Efficient Authoring Tools for Extended Reality App Development: Visualizing Complex Graphs and Automating Dependency Creation in a No-Code Authoring System for Manufacturing Disassembly
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akinbo-taokinbo-meng-eecs-2026-thesis.pdf
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Author(s)
Akinbo, Tolu
Advisor(s)
Liu, John
Date Issued
February 2026
Publisher
Massachusetts Institute of Technology
Abstract
Recently emerging digital interfaces, such as Augmented Reality (AR) and Virtual Reality (VR), are often proposed solutions for manufacturing education due to their immersive capabilities, adaptive experiences, and complex visualization of spatial relations that cannot always be effectively demonstrated in a traditional classroom setting. However, creating custom AR/VR systems often requires extensive cross-domain knowledge in various fields or a budget for additional, specialized support, which is not always feasible. In this context, authoring systems for manufacturing education serve as a bridge, enabling users with varying levels of expertise outside the AR/VR domain to create their own systems using no-code or lowcode solutions. Unfortunately, the current state of authoring systems for AR/VR experiences does not fully meet the needs of learning-oriented scenarios. Many use demonstrations to build the end-user learning path, leading to sequential scenarios that, unlike multi-path (branching) approaches, do not enhance open-ended learning. However, creating branching scenarios, like those used for entertainment and prototyping, often requires tedious specifications that increase time spent within the system as well as cognitive load. Simplifying the process of creating the multi-path branching system and visualizing it in an easy-to-understand way can help reduce the time and effort required to author these custom experiences. The proposed thesis will analyze the effects of displaying diverging interaction narratives and of utilizing assumed user trajectories to automatically create relationships and dependencies within a branching system.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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