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Informatik 5
Information Systems
Prof. Dr. M. Jarke
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Prof. Dr. M. Jarke
RWTH Aachen
Informatik 5
Ahornstr. 55
D-52056 Aachen
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Adaptive Video Techniques for Informal Learning Support in Workplace Environments

Thesis type
  • Bachelor
  • Master
Student Siddiqui
Status Finished
Submitted in 2015
Proposal on 28. Apr 2015 15:05
Proposal room Seminarraum I5
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Presentation on 15. Dec 2015 16:20
Presentation room Seminarraum I5
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Learning at the workplace is to a large extent informal. Trainees often need consultations with more experienced colleagues who can answer their questions or demonstrate certain practice. This process is usually very time consuming for the more knowledgeable ones, who often need to repeat their explanations for various trainees. There is a high potential to make this process more efficient by means of technology, especially by using the power of multimedia. The aim of this work is to enhance informal learning at the workplace by using the available video annotation solutions and based on them to develop new video adaptation techniques. We intend to exploit various types of annotations and use them to provide direct access to the relevant parts of them, which depend on the current context and situational demands.

Our aim is to benefit from the annotated videos and provide an opportunity to adapt them according to the current situational demands. This should be based on the current preferences specified by a set of terms, to extract just those parts of one or more videos that are relevant for these terms. In this way several long videos can be transferred into a relatively shorter one, which may address the current learning goals and situational demands. 

Our adaptation approach is based on the FOSP method [1] that has been applied in the eQ system [2], which considers emotional intelligence in personalized adaptation. In the first step just the relevant components (segments) are taken into account. In the second step these components are ordered according to certain rules. The third step includes selecting one of alternative representations of the component (e.g. the preferred media), in order to avoid redundancy. In the last step a suitable presentation strategy is chosen, e.g. how many components should be presented in parallel and how to arrange them on the end user device. 

In this way different adaptation strategies can be specified by different functions operating over the same data. The thesis aims to find related methods/functions, specify and implement them in order to choose certain strategies according to the context. For more information, please send an email to Dr. Milos Kravcik at or to Petru Nicolaescu at

Seed literature is given below:

[1]     Kravcik, M. (2004). Specification of Adaptation Strategy by FOSP Method. In The Workshop Proceedings of Adaptive Hypermedia Conference, Eindhoven, Netherland.

[2]     Damjanovic, V., & Kravcik, M. (2007). Using Emotional Intelligence in Personalized Adaptation. In V. Sugumaran (Ed.), Intelligent Information Technologies: Concepts, Methodologies, Tools, and Applications, pp. 1716-1742. IGI Global.


The applicant should be interested in e-learning and have experience with Java and Javascript programming. Knowledge of multimedia standards and user-centered system design, as well as near real-time collaboration patterns and protocols is considered a plus.

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