Offene Masterarbeiten
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- Development and Evaluation of Augmented / Virtual Reality Applications
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Motivation
Cognitive assistance systems offer a variety of possible use cases especially in the context of learning environments in artificial reality (AR/VR) scenarios. In our project it‘s OWL AWARE, we are researching new application scenarios, development methods and new forms of interaction to support the development of novel assistance systems.
In this subject area there are various open Bachelor and Master thesis topics, which deal with the systematic development and evaluation of AR/VR applications.
Possible Topics
- Systematic literature survey for AR/VR development methods
- Prototypical development of AR/VR applications for different scenarios (assembly, maintenance, navigation, …)
- Development of new modeling languages to capture AR/VR specific aspects
- Development of model-driven or component-based development methods for AR/VR applications
- Usability Evaluation of AR/VR applications in terms of efficiency, effectiveness, and user satisfaction
- Data-driven UX Evaluation of AR/VR applications through user feedback (human-in-the-loop, digital-twin approaches)
- Conception and development of context-adaptive AR/VR applications
- Continuous quality assurance and software testing for AR/VR applications
If you are interested in one of the above mentioned topics or have your own topic suggestions, feel free to contact us!
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- A Systematic Literature Review on Crowdsourcing Problems
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Motivation
Crowdsourcing is a process of requesting a large pool of people for solving existing tasks using web-based platforms. We aim to carry out an in-depth study into the crowdsourcing problems in order to categorize and to summarize the current status of the literature on this topic. The research method should follow a systematic literature review approach. This topic is a research-based topic without any need for implementation.
Requirements
- Good English skills
- Experience with research
- Interactive and motivated student
- Flexible for having two meetings every month
Task description
- Comparison of different systematic literature review methods
- Choosing one of the methods with explanation and doing the research according to that
- Forming a comprehensive categorization of the existing problems together with the detailed description
Contact
- A Systematic Literature Review on Data Analysis on Crowdsourcing Platforms
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Motivation
Crowdsourcing is a process of requesting a large pool of people for solving existing tasks using web-based platforms. We aim to carry out an in-depth study into the crowdsourcing platforms in order to categorize the existing platforms. Besides, the data analyses, which are conducted on the existing platforms, need to be studied and reported. The research method should follow a systematic literature review approach. This topic is a research-based topic without any need for implementation.
Requirements
- Good English skills
- Experience with research
- Interactive and motivated student
- Flexible for having two meetings every month
Task description
- Comparison of different systematic literature review methods
- Choosing one of the methods with explanation and doing the research according to that
- Forming a comprehensive categorization of the existing platforms
- Forming a comprehensive categorization of the data analysis performed on the platforms with all detail description
Contact
- A Systematic Literature Review on Task Design Problems in Crowdsourcing
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Motivation
Crowdsourcing is a process of requesting a large pool of people for solving existing tasks using web-based platforms. Task design is a complicated job for requesters and they create unclear tasks and so the workers do not provide high quality solutions. Therefore, we aim to carry out an in-depth study into the task design problems in the crowdsourcing processes in order to find where the problems lies and which studies are carried out in this regard. The research method should follow a systematic literature review approach. This topic is a research-based topic without any need for implementation.
Requirements
- Good English skills
- Experience with research
- Interactive and motivated student
- Flexible for having two meetings every month
Task description
- Comparison of different systematic literature review methods
- Choosing one of the methods with explanation and doing the research according to that
- Forming a comprehensive categorization of the task design problem
- Forming a comprehensive categorization of the data analyses and solutions to this problem in the literature
Contact
- Online Filterung basierend auf der Reisezeit mit verschiedenen Transportmitteln
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Motivation
Im Projekt OWL.Kultur-Plattform (https://www.sicp.de/projekte/owlkultur-plattform/) wird unter anderem eine Webseite zur Darstellung der Veranstaltungen im Raum Ostwestfalen-Lippe implementiert. Aktuelle Implementierungen auf anderen Webseiten (wie z. B. Ebay Kleinanzeigen) benutzen die Postleitzahl und Fluglinie, um Angebote zu filtern. Ziel dieser Arbeit ist es einen Filtermechanismus zu implementieren, der eine Filterung nach Reisezeit mit verschiedenen Transportmitteln
(ÖPNV, Auto, Fahrrad, Fuß) realisiert. Herausforderung hierbei ist die Notwendigkeit, dass von jedem Punkt (Nutzerposition) in kurzer Zeit (ca. <500ms) ein Ergebnis zur Verfügung gestellt werden muss. Dies ist nicht möglich, wenn man von der Nutzerposition die Reisezeit zu jeder Veranstaltung komplett online berechnet. Daher müssen im Rahmen dieser Arbeit entsprechende Datenstrukturen und Vorberechnungen für die verschiedenen Transportmittel konzipiert und implementiert werden.
Voraussetzung- Erfolgreich bestandene Vorlesung Computational Geometry bzw. Algorithms for Highly Complex Virtual Scenes /Algorithmen in der Computergrafik oder ähnliche Veranstaltung
- Wünschenswert sind Erfahrung in C#, .NET Core, Angular, Typescript
Aufgabenbeschreibung
- Literaturrecherche bzgl. Reisezeitberechnung
- Einarbeitung in / Reverse Engineering von Mapnificient für ÖPNV (https://github.com/mapnificent/mapnificent) und/oder Itinero für Fuß / Fahrrad / Auto / ÖPNV / Intermodal (https://www.itinero.tech/) o.ä.
- Konzept für Vorberechnung und Datenstruktur zur effizienten Filterung
- Implementierung eines Proof of Concepts
- Laufzeit-/Performance Analyse (analytisch und/oder empirisch)
Contact
- Advanced Modeling Techniques for Model-based Product Configuration in AR Applications
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Motivation
Augmented reality (AR) has recently found application in mobile-based product configuration, as exemplified by apps like IKEA Place. However, such apps often focus on the visualization of small changes applied to pre-rendered 3D models of the entire product, thus limiting their ability to adapt to the user’s needs and the physical environment at runtime. Furthermore, this approach is unsuitable for products that display high variability in their physical structure. To solve these issues, a previous master thesis introduced a model-based approach to support AR-assisted product configuration. The proposed approach is based on Dynamic Software Product Lines (DSPL) and facilitates dynamic adaptation by applying the DSPL process (Bashari, 2017) to product configuration and (see Fig. 2) enhancing it with domain knowledge stored in feature models (see Fig. 1). While the main concept is already developed and implemented, there are still open research questions regarding the configuration process (e.g. choosing certain colors or maximum price, detecting objects in the environment) and the platform compatibility (e.g. using the same models for AR and VR applications, fluent transfer between different devices). The goal of this master thesis is to overcome some of these limitations by extending the current concept. The exact scope will be developed in the proposal phase of the thesis.
Task- Literature Review on DSPLs and AR
- Conception and Design of the Feature Model Editor and the Application
- Prototypical Implementation of the Feature Model Editor (based on Angular) and the Application (based on Unity)
- Evaluation based on a Case Study
Literature
- Bashari, M., Bagheri, E., Du, W.: Dynamic Software Product Line Engineering: A Reference Framework (2017)
Contact
- Masterarbeit: Towards Dealing with API Incompatibility in Android Ecosystem
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Contact: Bahar Schwichtenberg
Ausschreibung