Abschlussarbeiten

Abschlussarbeiten

Die Arbeitsgruppe Mensch-Computer Interaktion bietet verschiedene Abschlussarbeiten (z.B. Bachelor- oder Masterarbeiten) und Abschlussprojekte (z.B. Bachelorprojekte) an. Alle Themen beinhalten die konzeptionelle Entwicklung, Implementierung und Evaluierung einer Fragestellung aus der Mensch-Computer Interaktion und werden im HCI Kolloquium vorgestellt. Falls Sie ein Projekt oder eine Abschlussarbeit bei uns schreiben wollen, kontaktieren Sie bitte Marvin Strauß und nennen Sie die Themen, die Sie interessieren, die Art der Arbeit und geben Sie einen kurzen Überblick über bereits durchgeführter Projekte und Erfahrungen. Bei Interesse an ausgeschriebenen Arbeiten (Kasten unten) wenden Sie sich bitte direkt an den jeweiligen Ansprechpartner.

Jonathan Liebers: Novel Authentication and Identification Schemes using Machine Learning & Deep Learning, Biometric Authentication in Virtual and Mixed Reality, Wearable and Embedded Tools for User Identification.

Alia Saad: Usable Security and Privacy, Behavioral Biometrics in Mixed Reality and on Mobile Devices, Spoofing Authentication.

Jonas Keppel: Interactive Health Applications, Activity Motivating Application, Explainable AI, Exergames, Indoor Cycling Gamification.

Max Pascher: Human-Robot Collaboration, Intervention Strategies/ Interfaces, Multimodal Input & Feedback Technologies, Augemented/Mixed/Virtual Reality, Assistive Technologies.

Carina Liebers: Control and Agency in Human-AI Interaction, Machine Learning & Deep Learning in Generative AI, often with Virtual Reality/ AR.

Nick Wittig: (Spatial) Augmented Reality, Educational AR Feedback, AI Engineering in Education.

Marvin Strauß: Designing and Evaluating Scalable Privacy Awareness and Control User Interfaces for Mixed Reality, Development of mechanisms to protect users' and bystanders' privacy.

Niklas Pfützenreuter: Enhancing user control for Generative AI, Explicit and implicit interaction with Generative AI.

Roman Heger: Haptic Interactions, Pseudo-Haptics, and Hardware Prototyping.

Bitte klicken Sie auf die Symbole an den Einträgen der Abschlussarbeiten um weitere Informationen zu erhalten:

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  • Investigating Shape‐Changing Stateful Interfaces for AI‐Driven AutomationDetails

    As AI and advanced automation permeate every aspect of life, we often cede decision-making authority to opaque systems—eroding the instinctive, nonverbal dialogue between user and machine. With physical controls such as steering wheels, buttons, and switches giving way to invisible voice agents, we lose the tactile clarity that once anchored our sense of control. This bachelor’s thesis will investigate shape-changing, responsive physical interfaces as a means to restore that direct connection. You will survey novel materials and actuation techniques, ideate interactive designs in CAD, and 3D-print functional prototypes. These prototypes will be tested in AI-driven simulated scenarios, where you’ll conduct user studies to measure task efficiency, perceived control, and situational awareness. Your work will demonstrate how adaptive, stateful interfaces can reintroduce clear, intuitive feedback in complex automated systems.

    Topic Profile

    Candidates should be passionate about shape-changing physical interfaces and possess experience in at least one of the following areas: * 

    • CAD design & 3D-printing workflows (e.g., Fusion 360, SolidWorks)
    • Electrical prototyping methods (e.g., linear motors, servos)
    • Real-time 3D graphics (e.g., Unity) or a strong willingness to learn

    Candidate Profile

    • This thesis is suitable for students pursuing a bachelor's project/thesis.
    • Strong interest in interaction design
    • Self-driven, organized, and able to document and present your work in English
    • Don't hesitate to contact David Goedicke via e-mail to schedule an appointment; before assigning the thesis, there will be a trial task.

    Informatik, Ansprechpartner*in: David Goedicke, Ph.D.