Body- and Hand-Aware In-Environment Selection Techniques

The goal of this work is to get an overview of the vast variety of selection methods in smart environments, mixed reality, and VR. Through a literature review, the first step is to select a handful of selected methods. Therefore, in the next step, these interactions need to be implemented, to allow them to be compared in a lab study. Here, the aim is to compare these technologies with respect to measurements such as accuracy, speed, immersion, presence, and their effect on the embodiment.

You will:

• Perform a literature review
• Investigate different selection methods for VR focusing on e.g., controller vs. controller less, absolute vs. relative, feedback vs. no feedback
• Implement the study application
• Conduct the user study
• Study data analyse and propose design guidelines
• Record video up to 5min long explaining the thesis
• Summarize your findings in a thesis and presenting them to an audience
• (Optional) co-writing a research paper

You need:

• Strong communication skills in english
• Knowledge of human tracking techqniues (e.g., OptiTrack)
• Good knowledge of running studies
• Good knowledge of implementation most likely using Unity

References

• The Effect of Offset Correction and Cursor on Mid-Air Pointing in Real and Virtual Environments
• Modeling Distant Pointing for Compensating Systematic Displacements
• Up to the Finger Tip: The Effect of Avatars on Mid-Air Pointing Accuracy in Virtual Reality
• EyePointing: A Gaze-Based Selection Technique
• Improving Humans’ Ability to Interpret Deictic Gestures in Virtual Reality