Problem Description

In contemporary settings, knowledge work is characterized by frequent interruptions. This fragmentation of attention leads to substantial productivity losses and negatively affects employee well-being. We recognize the potential of Mixed Reality (MR) to solve this problem and have developed 'FocusGuard', an adaptive MR workspace concept that uses eye tracking to detect distraction and computer vision to keep essential physical elements visible, while dynamically regulating immersion. This core concept will be provided to students as a foundation for their research. However, as of now, design requirements for this concept have not yet been backed by methods aiming at deriving actual user needs; nor has a prototype been developed or evaluated.

Goal of the Thesis 

The primary goal of this thesis is to collect a broader range of user requirements in order to enhance the FocusGuard concept. This will be followed by the building and evaluation of a functional prototype. Adopting a Design Science Research (DSR) approach, the thesis will:

• analyze literature to determine whether similar adaptive systems already exist in the context of distraction management and immersive work,

• conduct user interviews to derive requirements comprehensively, exploring the needs and pain points of knowledge workers in distracting environments,

• enhance the system design by refining the concept with more precise technical feasibility and detailed architectural specifications,

• build a prototype integrating real-time eye tracking and computer vision to manage transitions between physical and virtual workspaces,

• and conduct a formative evaluation with potential users to assess the system's effectiveness, usability and impact on cognitive state.

The necessary MR headset and all other technical infrastructure will be provided.

Requirements

• Strong programming skills and experience with modern software development.

• C# or Unity expertise is advantageous but not strictly required, provided there is a strong willingness to learn these tools for prototype development.

• Basics of Computer Vision (e.g., understanding of object detection/classification) should be known.

• Understanding of Design Science Research methodology (or the willingness to learn and apply it).

• Strong time management, communication skills, and proficiency in English.