Skip to content. | Skip to navigation

Informatik 5
Information Systems
Prof. Dr. M. Jarke
Sections
Personal tools
You are here: Home Staff PD Dr. Ralf Klamma, AOR

PD Dr. Ralf Klamma, AOR - Theses


Bachelor
Affective learning recommendation bot - Open
Recommending which resource to chose next to maximise learning effect based on sentiment and intent detection
Master
Building an Universal Community Success Awareness Gamifier - Open
Supervised by PD Dr. Ralf Klamma, AOR; Advisor(s): Dr. István Koren
Every community application can be gamitfied.
Master
Gamification of Serious Games with Recommendation Support - Open
Supervised by PD Dr. Ralf Klamma, AOR
The goal of this master thesis is to re-design and extend an existing serious games platform as microservices for a gamification framework already realized as microservice architecture.
Master
Measuring coherence accross media in learning environments - Open
Supervised by PD Dr. Ralf Klamma, AOR, Prof. Dr. Marc Spaniol
Multimedia content based indexing delivered a lot of models for the analysis of multimedia materials. In modern educational platforms, e.g. MOOCs and self-regulated learning platforms. In consequence, multimedia materials are produced by educational designers but also by the learners during their learning processes. Coherence is a semantic measure for the local and global connectivity of e.g. sentences, paragraphs, videos, slides among others. Computer linguistics has provided impressive results for measuring the quality of writing, e.g. for automatic essay scoring. To measure the coherence of multimedia materials many computational methods reaching from natural language processing to machine learning needs to be combined in a common coherence model. Goal of this master thesis is to co-develop a coherence model for cross-media coherence and to prototypically combine these computational methods for a webinar.
Master
Modeling and Analysis Support for Collaborative Industry 4.0 Scenarios - Open
Supervised by PD Dr. Ralf Klamma, AOR; Advisor(s): Benedikt Hensen, M.Sc.
Formal support for robot-human and human-human collaboration scenarios at industrial workplaces.
Bachelor, Master
Service Provisioning for Mobile Edge Cloud Computing - Open
Supervised by PD Dr. Ralf Klamma, AOR
Mobile edge cloud computing provides a platform to accommodate the offloaded traffic workload generated by mobile devices. It can significantly reduce the access delay for mobile application users. However, the high user mobility brings significant challenges to the service provisioning for mobile users, especially for the delay-sensitive mobile applications. We want to research how to update the service provisioning solution for a given community of mobile users. Therefore, we compare current offloading strategies, information structures based on peer-to-peer in combination with cloud computing and client-side solutions using advanced Web protocols like WebRTC. The thesis continues our successful research record in mobile cloud computing.
Master
Standard compliant WebXR Rendering of Mixed Reality Learning Experiences - Open
Supervised by PD Dr. Ralf Klamma, AOR, Prof. Fridolin Wild (Open University of the UK)
The goal of this master thesis is to build a reference implementation for a player that renders Augmented Reality Learning Experience Models (ARLEM, IEEE standard P1589-2020) using the WebXR device APIs. WebXR is a collection of standards that support rendering of 3D scenes in Augmented Reality on eyeglasses as well as handheld devices. ARLEM is tested on, for example, training sequences for astronauts.
Bachelor
Systematic Evaluation Procedures of Mixed Reality Learning Applications - Open
Supervised by PD Dr. Ralf Klamma, AOR; Advisor(s): Benedikt Hensen, M.Sc.
Mixed reality provides many opportunities for learning applications in formal and informal education. In previous projects, we created different learning applications for various use cases. The applications target technologies like the Microsoft HoloLens, HTC Vive, Oculus Quest 2 and smartphones. Initial pilot evaluations of these applications have already been conducted. However, we would like to have a more detailed and systematic analysis of the application’s characteristics in their intended use cases.
Master, Bachelor
The Social Capital of Community Information Systems - Open
Supervised by PD Dr. Ralf Klamma, AOR
In this thesis we research the use of social capital in information systems in organizational and non-organizational contexts with the aim to conceptualize framework for community information systems.
Bachelor
Web Frontend for exchange of NFT artwork - Open
The aim of this thesis is to build a web frontend to browse, mint and exchange NFT (nonfungible token, standard ERC-721) based transactions.
Bachelor, Master
A Cognitive Modeling-Based Architecture for Realistic Agents in Mixed Reality - Running
Supervised by PD Dr. Ralf Klamma, AOR; Advisor(s): Benedikt Hensen, M.Sc.
Courses in higher education, e.g. at universities, face a challenge regarding scalability. Ideally, every student should be able to contact a mentor to benefit from the mentor’s experience and to reach the learning goals. However, if the number of participants in a course rises, the limited resources of the institution are quickly exhausted. This leads to a high workload for academic staff and decreases the mentoring quality since there is less time for mentors to address the individual needs of the students. A solution to this problem is socio-technical support for mentoring processes which combines social processes like peer mentoring and technological processes, e.g. for student’s feedback. As a result, text-based chat bots were created which can answer student’s questions and give feedback about exercises. We would now like to enhance the interaction with such bots by upgrading them to Mixed Reality agents. Such agents are shown as an avatar in a Mixed Reality environment and can interact with virtual content, users and other bots. They form a natural user interface where students can talk to the agent to get advice and it can also make autonomous decisions to guide the learning process. If the agent cannot answer a question, it can call a human mentor to join the conversation. This system considerably lowers the workload of the mentors while improving the mentoring experience of the students.
Master
A Cross-Platform User Interface Description Language for Mixed Reality - Running
Supervised by PD Dr. Ralf Klamma, AOR; Advisor(s): Benedikt Hensen, M.Sc.
In order to provide content for the many mixed reality devices with their varying display technologies and input methods, there is a trend in mixed reality development to incorporate cross-platform support in applications. Cross reality (XR) also takes this a step further by providing cross-platform support for both augmented and virtual reality devices. The technical foundation for this is already established by 3D engines such as Unity which allow an application with one code base to be deployed to a large variety of end devices, e.g. the Microsoft HoloLens or AR-capable smartphones alike. Furthermore, libraries like the Mixed Reality Toolkit have formed a hardware abstraction layer so that the input devices are mapped onto a general input event system that can handle touch input on smartphones, 3D pointers of head-mounted displays and direct 3D in-air touch interactions alike. This foundation allows developers to port an application to multiple devices. However, one big challenge that MR developers still face is that the UI does not automatically adapt to the input specifics of each MR device in order to provide a comfortable user experience. For instance, floating 3D menus can work well on head-mounted displays but on smartphone with AR mode, they can be replaced with an on-screen touchable menu.
Person Publications

Fridolin Wild, Christine Perey, Benedikt Hensen, Ralf Klamma

IEEE Standard for Augmented Reality Learning Experience Models

2020 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE)

Alexander Neumann, Peter de Lange, Ralf Klamma, Norbert Pengel, Tamar Arndt

Intelligent Mentoring Bots in Learning Management Systems

Learning Technologies and Systems. SETE 2020, ICWL 2020.

Michael Kretschmer, Bernhard Göschlberger, Ralf Klamma

Using Topical Networks to Detect Editor Communities in Wikipedias

2019 Sixth International Conference on Social Networks Analysis, Management and Security (SNAMS),DOI: 10.1109/SNAMS.2019.8931865

More publications…