The project aimed to understand the real needs of training creators, define user requirements, and test a prototype using a no-code XR platform. The goal was to evaluate the practicality, usability, and effectiveness of XR in safety-critical environments.
Problem Statement
Considering the practical challenges training creators face in usability, scalability, and content authoring, this research addresses the question -
How can XR be effectively designed to support industrial training workflows?
Why this research matters
Many industrial training processes can't be practiced repeatedly due to high risk, cost, or complexity.
According to the 70-20-10 learning model, 70% of learning comes from hands-on experience, yet current training methods often rely on passive formats like manuals or lectures.
XR provides a safe way to simulate real-world scenarios, but adoption is hindered by tool complexity, high development cost, and hardware limitations.
Many training teams lack the technical resources or experience to build XR content from scratch.
This research focuses on designing a low-barrier XR training tool that meets the needs of training creators and is feasible to implement in real environments.
Research Goals
Identify User Requirements of Industrial Training Creators
Develop and Test a Prototype
Evaluate Usability and Effectiveness
Recommend Improvements and Future Research
Research Process
View Summary
Outcomes
What Worked
Tasks were broken down clearly and were easy to follow.
Visual guidance improved confidence and accuracy.
The modular design allowed for reuse across different training flows.
What Didn’t
Users wanted more guidance when making mistakes.
Onboarding was not intuitive for first-time users.
Lacked real-time analytics for instructors or evaluators.
If you'd like to discuss the research process and outcomes, feel free to reach out.