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Informatik 5
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Prof. Dr. M. Jarke
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Dipl.-Medieninf. István Koren - Theses


Master
Infrastructuring for Crowdsourced Co-Design - Finished
Completed by Delcy Carolina Bonilla Oliva in 2018; Supervised by PD Dr. Ralf Klamma, AOR, Prof. Dr. Matthias Jarke; Advisor(s): Dipl.-Medieninf. István Koren
Master
Augmented Reality Human Performance and Workplace Modelling using Sensor Fusion Data - Finished
Completed by Rizwan Ali in 2018; Supervised by PD Dr. Ralf Klamma, AOR, Roland Klemke; Advisor(s): Dipl.-Medieninf. István Koren
An immersive Augmented Reality (AR training development framework needs support for combinations of a wide range of appropriate devices for different use cases. In a surgery training situation this can be an AR headset and a handtracking device capturing exact movements in order to evaluate the accuracy. Therefore, it is necessary to get information from different sensors and interpret them in a common sensor fusion framework, in order to record the actions. The goal of the thesis is twofold. First, the WEKIT.one framework will be extended. New sensor hardware, which can be used to improve the training experience of apprentices, will be implemented, tested and evaluated against the given requirements. The implementation is based on the Unity SDK in combination with Microsoft HoloLens and other AR relevant devices. Second, we are interested in visual learning analytics of the gathered data. Therefore, means for storing learner traces both locally and externally will be evaluated with the intention to use the stored data for long-term analytics. Contributions will be specified and implemented with the help of the upcoming IEEE standard on Augmented Reality Learning Experience Models (ARLEM). As a Bachelor thesis, the scope can be adjusted.
Bachelor
A Gamification Framework for Mixed Reality Training - Finished
Completed by Benedikt Hensen in 2017; Supervised by PD Dr. Ralf Klamma, AOR, Dr. Andreas Herrler; Advisor(s): Dipl.-Medieninf. István Koren
In this thesis a framework will be developed which enables a gamified approach to training and learning in a mixed reality environment. The framework targets the Microsoft HoloLens and uses the Unity 3D Engine. It will support the 3D models of the Anatomy 2.0 web-application. Moreover, the framework can be customized by adding additional models in X3D-format. Furthermore, this work will explore the current gamification approaches and how they can be employed in mixed reality. Those methods and features will be elaborated in a medical use-case. It will provide a learning environment which can visualize and gamify the study of the human anatomy.
Bachelor
Gamifying User Engagement in Software Development - Finished
Completed by Manuel Gottschlich in 2017; Supervised by Prof. Dr. Matthias Jarke, PD Dr. Ralf Klamma, AOR; Advisor(s): Dipl.-Medieninf. István Koren
Bachelor
WebTorrent-based Video Streaming on the Web - Finished
Completed by Bartels, Philipp in 2016; Supervised by Prof. Dr. Matthias Jarke, PD Dr. Ralf Klamma, AOR; Advisor(s): Dipl.-Medieninf. István Koren
Bachelor
Master
Touchless Public Display Authentication - Finished
Completed by Ramani, Ankit in 2015; Supervised by Prof. Dr. Matthias Jarke, PD Dr. Ralf Klamma, AOR; Advisor(s): Dipl.-Medieninf. István Koren
Authenticating at a public display without entering any user credentials.
Bachelor
Web-based Collaborative Video Drawing - Finished
Completed by Golovin, Denis in 2014; Supervised by Prof. Dr. Matthias Jarke, PD Dr. Ralf Klamma, AOR; Advisor(s): Dipl.-Medieninf. István Koren, Petru Nicolaescu, M.Sc.
Drawing on a Video in HTML5. No Fuzz.
Bachelor
Near Real-time Visual Community Analytics for XMPP-based Networks - Finished
Completed by Guth, Andreas in 2014; Supervised by Prof. Dr. Matthias Jarke, PD Dr. Ralf Klamma, AOR; Advisor(s): Dipl.-Medieninf. István Koren
This thesis aims to provide a generic visual analytics framework for XMPP.