Offene Themen

Wir bieten zwei Arten von Abschlussarbeiten an:

  • Gelegentlich schreiben wir spezifische Themen aus. Diese haben bereits relativ klar definierte Ziele und Umfang und sind besonders eng in die Forschung der/des Betreuenden eingebunden. Trotzdem gibt es natürlich etwas Spielraum für die individuelle Ausgestaltung der Arbeit. Diese eignen sich besonders für Studierende, die eine klar vorgegebene Richtung für ihre Abschlussarbeit wünschen
  • Häufiger ist es so, dass sich Abschlussarbeits-Themen im Gespräch zwischen Studierenden und Betreuenden entwickeln. Hierzu haben wir unten eine Liste mit aktuell betreuten Themenfeldern und den verfügbaren Betreuungskapazitäten aufgestellt. Diese Art von Abschlussarbeit eignet sich besonders für Studierende, die bereits eine erste Idee für eine Abschlussarbeit im Kopf haben oder diese etwas freier ausgestalten möchten, trotzdem ist natürlich Rücksprache mit der/m Betreuenden wichtig, um sicherzustellen, dass die Arbeit in das Themenfeld passt.

Die Beschreibung der Themen und Themengebiete sind idR auf Englisch verfasst, die möglichen Betreuungs- und Ausarbeitungssprachen sind für jedes Thema angegeben.

Wenn Sie an einem oder mehreren der Themen/Themenfelder Interesse haben, schreiben Sie uns bitte eine Email wie auf der Seite Abschlussarbeiten beschrieben.

 

Spezifische Themen

Aktuell haben wir keine konkreten Themenvorschläge ausgeschrieben.

Themengebiete

To Appeal or not to Appeal

Artificial Intelligence significantly transformed various sectors, including public administration services, by enhancing efficiency and reducing time in decision-making processes. However, in Germany, the legal framework mandates citizens' entitlement to appeal decisions. There is little work exploring the issue of appeal of AI based decision. M.Sc. theses in this field can focus on exploring various designs of appeal processes of AI-based decision within public administration.

Overarching Research Question: How to design an AI-based appeal process to insure citizens fairness and satisfaction with public administration services.

Prior knowledge in human-computer interaction and/or experience qualitative methods is required. Depending on the specific topic, knowledge about and experience with AI models may prove useful.

Supervisor: Saja Aljuneidi
Language: English
Capacities: Open

Social Interaction in Virtual Reality

In our society - not just in times of a pandemic - many people suffer from loneliness, taking its toll on their physical and mental well-being. Engaging in social interactions using upcoming Virtual Reality (VR) platforms could counteract this. To increase the feeling of social connectedness perceived within these applications, we are researching which factors can be used to increase intimacy and so-called social presence among users. Consequently, a BSc or MSc theses in this field often involves implementing a multi-user VR environment with which a certain factor, e.g. user representation, can be evaluated in terms of their influence on social presence. Prior knowledge in human-computer interaction and VR development, e.g. from AR/VR lab or lecture, are beneficial.

Supervisor: Simon Kimmel
Language: German / English
Capacities: From Feb ’23

Soft Tangible Interaction in Smart Homes

We are researching how actuated soft materials can enhance everyday objects around the home and turn them into alternative smart home controls. We are looking for technical as well as theoretical solutions and approaches on both BSc and MSc levels:

Technical: Design and fabricate an enhanced everyday household item and evaluate its use and design process through observational and System Usability studies. The object can exhibit shape-changing traits or can use touch and other sensors to give it a secondary function while remaining relevant for its primary function, e.g. a coffee mug that can be used to control the lighting but remains functional as a coffee mug

Theoretical: Conduct a series of observational studies (qualitative and quantitative) on how people interact with objects in their living rooms, what objects they touch, why they touch them and how they imagine these objects to be used as alternative smart home controls.

Supervisor: Michael Chamunorwa
Language: English
Capacities: Open

Smart Home Ecosystems

Our research focuses on how users setup, develop and customise their smart homes. Specifically, we study how various devices are interconnected within the home, probe users' strategies to debug and configure smart home ecosystems, and design and develop particular systems (software and hardware artefacts). For example, a BSc or MSc thesis may approach understanding a new dimension of interaction within smart home; develop (and evaluate) new smart home technology software/hardware artefact; or focus on proposing and evaluating new approach to problems within the smart home ecosystem. Prior experience in HCI and user-centered design would be an asset. Depending on the topic, experience with software/hardware tinkering and/or qualitative methods may prove useful.

Supervisor: Mikołaj P. Woźniak
Language: English
Capacities: From Jun ’23

Gaze Tracking in Reading

We are researching how gaze data can be used to support the reading learning process. In particular, we are interested in examining a user's gaze behavior in real time and using it as implicit input. For example, a BSc or MSc could involve investigating real-time gaze data in other contexts or developing new types of reading learning support. Prior experience in human-computer interaction, e.g. from Interactive Systems or HCI courses, would be beneficial.

Supervisor: Tobias Lunte
Language: German / English
Capacities: From October

Individual Topics

We sometimes also supervise theses that fit the umbrella of Human-Computer Interaction or Media Processing in general but don’t fall into any of our current research topics. If you already have a specific project or research question that you are highly interested in, you are welcome to submit it for consideration.
Please be advised that these applications are decided on a case-by-case basis and acceptance rates are low. We recommend applying to at least one other topic or research area from our departmant in parallel to not lose time in case of rejection (if any are of interest).

Supervisor: to be determined
Language: to be determined
Capacities: Open, but rare

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