Topics for Student Theses

• Preoperative exploration of and interaction with medical image data (e.g. CT)
• Intraoperative visualization of an augmented patient model
• Possibilities for interaction with medical image data during surgeries

• Coordination and Distribution of Interaction and Visualization Between Mobile Devices and Head-Mounted Augmented Reality
• Investigation of Physical Affordances by Everyday Products and Environments in Augmented Reality (Especially Placements)
• Empirical User Study Design; Observation, Measurement, and Analysis of User Attitude and Behavior

Considering human-centered perspectives and inclusion in interpersonal interaction within AR/VR. Key aspects:

• Design and implementation of visualizations or multimodal feedback to support communication in AR/VR
• Adapting and enhancing virtual avatars for interpersonal interaction in AR/VR
• Designing and conducting user studies in multi-user AR/VR, considering factors of social interaction, performance, and usability

• Interactive visualizations as explanations for computational models (e.g., AI, formal methods)
• Use of game mechanics for data-driven storytelling and other scientific work (e.g., annotation)

• Combination of mobile devices with other displays/devices, for instance several tablets and smartphones or smartphones and large interactive displays
• Multi-user or collaborative data analysis
• Multiple visualization views distributed and coordinated across several devices

• Research into novel display technologies (e.g., curved, flexible, foldable, spherical, or cube-shaped displays)
• Development of new techniques for visualizing information on these new form factors
• Prototyping of novel form factors using MR technology

• Scientific data visualization (e.g., multivariate, volumetric, multidimensional, temporal, real-time) and the evaluation of the corresponding data story generated with LLMs (metric evaluations, user studies (e.g., qualitative, quantitative, mixed, focus groups)).
• Development and adaption of data stories in different media (e.g., paper, tangibles, displays, mobile, immersive, physical forms) and focusing on user engagement of the story and user interaction with data.
• Visual narrative generation with LLMs, design spaces for data storytelling (e.g., immersive, expressive, emotional, visual, character-based, collaborative).