These are the projects I have worked in as a research associate. Project names with an arrow () on their left are the ones where I am the principal investigator.

AGameComIn (Adaptive Content Creation using Computational Intelligence)
Objective:  The principal goal of the AGameComIn project is to enhance the experience of computer game-players by developing computational intelligence algorithms that learn mappings between game features and player satisfaction, and the use of computational models as evaluation functions for game content such as rules and environments. Stochastic global optimizers such as evolutionary algorithms are then used to search the spaces of game rules and environments to automatically create entertaining game content. The main outcome of the project will be technology that increases the productivity of industrial game development and enables the creation of new types of video games.

Participants: University of Southern Denmark (DK), Limbo ApS (DK)
Project funded by: Danish Research Agency, Ministry of Science, Technology and Innovation, Denmark.
Start: August 2009, End: July 2012.

CEPEG (Capturing and Enhancing Player Entertainment in Cames)
Objective: The research goals of this 2-year project are to model in real time computer game players/users satisfaction and strategies for commercial games using information available from the game platform, and to construct software able to do this. To achieve these goals the plan is to devise a method that efficiently identifies qualitative features contributing to player satisfaction; design quantitative measures for these features; investigate the correlation between the type of player, the real-time satisfaction estimation and the quantitative feature values and develop and implement AI techniques based on user modelling and machine learning that will augment the entertainment value of the game in real-time.

Official title of the project: "Measuring and Enhancing Player Satisfaction in Computer Games Using Machine Learning Techniques"

Participants: Maersk Mc-Kinney Moller Institute/University of Southern Denmark (DK)
Project funded by: Danish Research Agency, Ministry of Science, Technology and Innovation, Denmark.
Start: January 2006, End: December 2007.

Playware
Objective: The aim of the "playware" research is to develop products that use IT to create play equipment and play environments that can stimulate children and youth to engage in physical, social play and playful learning. In particular, the aim is to identify and explore the possibilities afforded by mobile and ambient intelligence computing for developing new play environments. The play environments invite physical activating play to become an important factor in the community's fight against an increasing child obesity problem.

Description of research: Entertainment Modeling for Adaptive Interactive Physical Games.

Participants: Maersk Mc-Kinney Moller Institute/University of Southern Denmark (DK), The Danish University of Education (DK), Kompan A/S (DK), Wirtek A/S (DK).
Project funded by: (in part) Danish Research Agency, Ministry of Science, Technology and Innovation, Denmark.
 

EURON Network
Objective: EURON is a community of people with a common interest: robots. It brings together the best European robotics groups and resources in research, industry and education. EURON aims to demonstrate Europe's world class position in robotics.

Description of research: Development of a web repository on European robotics research including both industry and academia

Project funded by: EUropean RObotics research Network (EURON), European Union.

PLANET, European Network of Excellence in AI Planning
Objective:AI Planning is a key enabling technology for intelligent systems. It increases the autonomy, flexibility, and robustness for a wide variety of application systems. These include web-based information and e-commerce systems, autonomous virtual and physical agents, and systems for the design and monitoring of production, management, and business processes. PLANET is the European coordinating organisation for research and development in the field of AI Planning and Scheduling. It aims to stimulate innovative research and development and to promote the industrial uptake of the technology. PLANET supports activities that foster progress in research and development. It promotes the exchange and collaboration between academic and industrial sites through training and technology transfer activities. It maintains a supporting information and communication infrastructure and represents a comprehensive source of technological expertise.

Description of research: Development of a web repository on AI Planning and Scheduling.

Project funded by: Information Society Technologies (Fifth Framework), European Union.