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German Aerospace Center (DLR) invites applications for a student research internship in XR/VR locomotion. You will explore hand-gesture movement techniques, review existing literature, and design novel XR interaction methods.
The role includes implementing prototypes in a test environment and conducting user studies to evaluate experience and comfort. As a enrolled student, you will document results and contribute to recommendations for future VR gesture approaches, with close collaboration to
The DLR Institute of Software Technology sees software as a catalyst for research and innovation. The institute's staff, currently numbering around 200, make a significant contribution to advancements in the fields of aviation, space, energy, transportation, and security through the development of state-of-the-art software solutions and innovative research.
Our areas of competence include reliable and safety-critical software systems, artificial intelligence, high-performance computing and quantum computing, human-system interaction and visualisation, software and systems engineering as well as digital platforms and digital twins.
Our work focuses on eXtended Reality (XR) and its applications across various domains; for instance, drone operations. In this context, 3D maps in XR can play a key role ,e.g., Mixed Reality (MR) table-top maps can aid situational awareness, and Virtual Reality (VR) environments can offer full spatial understanding on a 1:1 scale, mimicking real-world environments. Navigating MR table-top maps through zooming in and out, sliding and panning is quite intuitive, however navigating in VR in large scale environments using hand gestures is not well explored yet. This thesis investigates how the user can move in VR with only the hand gestures that are available for interaction. The research aims to understanding how different locomotion techniques and different gesture interactions influence the user experience, including cybersickness, cognitive load, and learning. A further aim is to identify which combination of movement techniques and gesture techniques is the most efficient for the user to navigate large urban environments.
We look forward to getting to know you!
If you have any questions about this position (Vacancy-ID 5469) please contact:
Luljeta Sinani or Florian Baugé