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Master theses

Current and past ideas and concepts for Master Theses.

Neurogaming-based Classification of Player Engagement in VR Videogame Playing


Concepts such as satisfaction, fun, and enjoyment are termed as the essence of play. In an activity characterized by play, an individual depends the least on external incentives, but is defined by an internal motivation to do so. In this research we will use a computer-based virtual reality (VR) game to study attentional networks during gaming.

Kind of work

In this project, we will investigate using neuroscience methods the Synchronization Theory of Flow (STF), which defines the subjective experience of “flow”, focused motivation leading to a feeling of spontaneous joy during media use, as the result of the synchronization of attentional and reward processing brain networks. We will analyze EEG recorded on the scalp and source reconstruction methods to map the EEG temporal dynamics of attentional networks during gaming. We will investigate how patterns of neural activity are related with simultaneously recorded psychophysiological indexes such as heart rate and skin conductance.

Framework of the Thesis

A van Dongen, “Collecting EEG data during virtual reality experience with a headset”, master thesis, UGhent, 2017

In collaborationn with Prof. Daniele Marinazzo (UGhent-Department of data Analysis)

Expected Student Profile

• Following an MSc in a field related to one or more of the following: electrical engineering, computer science, applied mathematics, Biomedical Engineering
• Experience with signal processing machine learning and statistics.
• Strong programming skills (matlab, R, Python).
• Ability to write scientific reports and communicate research results at conferences in English.


Prof. Hichem Sahli

+32 (0)2 629 2916

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