Stefan Tomov is managing the research of GamificationLab and its stakeholders. He is a master student in computer sciences at Karlsruhe Institute of Technology (KIT) with a study-focus on data analytics, big data and machine learning. Stefan successfully finished an international student competition about predictive analytics for an online-shop with a group at KIT. His research interests are around game analytics, predictive analytics, gamification and big data. He worked for SAP AG in the area of game analytics with big online-game publishers analyzing huge amounts of data for about one year before starting GamificationLab funded by the German Government of Education.

Erik Pescara is in charge of creating the meta-model which will incorporate aspects of gamer psychology and flow. He is a master student in information engineering and management at the KIT. His research interests apart from gamer psychology and flow are organic computing, multi-agent systems, market research and recommender systems. In his free time he is involved with the Forum Informationswirtschaft which acts as a representative body for the students of information engineering and management.

Responsible for gamer psychology and learning styles is Malte Langenhorst who is a master student in physics at the KIT. He uses his practical experience in various fields of science (tutor for physical practicums, design of script for a lecture about organic chemistry, several practicums in mechanical engineering and executive engineer at Augeon, a geotechnical company) and in gaming to analyze games and gamification characteristics and to develop models that link player types and learning styles. Furthermore, he is in charge of the homepage design.

Cooperation Partner

Integrated Science

Our models are theoretically based on established research and are applied in real-world games with thousands of players. This leads to high generalizability of our methods and results and transfers our research from science to industry.

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