A Benchmark for Interactive Augmented Reality Instructions for Two-Hand Tasks

Topic:

With the increasing customization of products and systems, interaction and operation tasks (often requiring coordinated two-handed input) are becoming more complex. In this thesis, you will investigate how XR-based instructions for interaction and machine operation tasks can be evaluated in a standardized manner. The goal is to identify and develop suitable task designs, performance metrics, and experimental methodologies that enable meaningful benchmarking.

You will:

• Conduct a structured literature review on benchmarking and XR tasks
• Evaluate tasks for an existing machine interface
• Plan and carry out a user study
• Analyze and summarize the findings in a written thesis and present them to an audience
• (Optional) Contribute to the writing of a research paper

You need:

• Interest in XR research, benchmarking and hardware, particularly for measuring instructions
• Experience in conducting studies and XR or hardware development (ideally using Unity and Meta Quest 3)
• Strong English communication and academic writing skills

References

• A Benchmark for Interactive Augmented Reality Instructions for Assembly Tasks
• Through the Expert's Eyes: Exploring Asynchronous Expert Perspectives and Gaze Visualizations in XR
• Do It Fast, Forget It Fast: How Timing and Limb Visualizations Affect First-Person Augmented Reality Instructions