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Masterthesis (f/m/x) - Cross-Reality Map Transitions in eXtended Reality
Job Description
Req ID:  5124
Place of work:  Braunschweig
Starting date:  Zum nächst möglichen Zeitpunkt
Career level:  Student research project and final thesis
Type of employment:  Part time, Full-time
Duration of contract:  bis zu 6 Monate

Remuneration: Remuneration is in accordance with the Collective Agreement for the Public Sector - Federal Government (TVöD-Bund)

Enter the fascinating world of the German Aerospace Center (Deutsches Zentrum für Luft- und Raumfahrt e. V.; DLR) and help shape the future through research and innovation! We offer an exciting and inspiring working environment driven by the expertise and curiosity of our 12,000 employees from 100 nations and our unique infrastructure. Together, we develop sustainable technologies and thus contribute to finding solutions to global challenges. Would you like to join us in addressing this major future challenge? Then this is your place!

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.

 

The Research Project

Our work focuses on eXtended Reality (XR) and its application in various domains, for instance in a current project the focus is drone operations. In this context, 3D maps in XR can play a key role, e.g. AR minimaps can aid situation awareness, and VR environments can offer full spatial understanding on a 1:1 scale, mimicking real world environment. However, transitioning between AR and VR maps can disorient users due to the big shift in map scale. This thesis investigates how users can transition between these representations and maintain good orientation and overall user experience. The goal is to design, prototype, and evaluate cross-reality map transition methods  to improve user experience, and spatial awareness in XR.


The Research Questions

This thesis examines how users can transition effectively between AR minimaps and VR maps. The research focuses on understanding how different transition techniques influence user experience, including cybersickness, cognitive load in cross-reality navigation. A further aim is to identify which transition methods help maintain spatial orientation as users shift between scales and modalities. The students tasks for this thesis include the following:  

  • Conduct a literature review on AR/VR map design and cross-reality transitions
  • Design novel cross-reality transitions specified for navigation through maps
  • Implement existing and novel cross-reality transitions in a test environment
  • Conduct user evaluations to measure overall user experience and spatial awareness
  • Analyze findings and derive design recommendations for future XR-based maps
  • Write and document the results

 

Your Qualification

  • Currently enrolled in Computer Science, Informatics, Geo-informatics, Human-Computer Interaction, or a related field
  • Experience in XR development or game development (Unreal Engine, Unity) is desired
  • Experience in C++, C#
  • Interest in XR, human factors, and/or interface design

We offer

DLR stands for diversity, appreciation and equality for all people. We promote independent work and the individual development of our employees both personally and professionally. To this end, we offer numerous training and development opportunities. Equal opportunities are of particular importance to us, which is why we want to increase the proportion of women in science and management in particular. Applicants with severe disabilities will be given preference if they are qualified.

We look forward to getting to know you!

 

If you have any questions about this position (Vacancy-ID 5124) please contact:

 

Luljeta Sinani