Nuria Peña Pérez
Intelligent games to model human learning and interaction
Learning new skills (both mental and physical) can be enhanced through interactive activities when two or more individuals are performing collaborative or competitive tasks. Computer gaming environments are efficient tools to study such interactions and can help us to understand both the underlying mechanism of human-machine and human-human interaction and the game development principles which can enhance learning through interaction. This PhD thesis will use interactive multi-user games to study how game-mediated human-human interaction evolves in different conditions. Interfaces such as virtual reality, haptic manipulators and motion sensing will be considered to analyse and model players’ behaviours, which will be crucial to understand their individual goals and how they define their interaction. Recorded user’s actions and responses and will help us to develop novel methodologies for the development of next generation of interactive games. Moreover, it will help us to improve our knowledge of human control and learning.
Nuria got her bachelor in biomedical engineering in Spain before moving to London. After studying an MSc in Neurotechnology and working in robotic neurorehabilitation at Imperial College London, she has discovered the enormous potential of serious games in the field of robotics and human interaction. Her projects have included the development of small games in Unity as a tool to study human coordination. She is extremely excited she will learn new ways of contributing to the field thanks to the IGGI program. When she is not coding, or eating, or eating and coding, she enjoys travelling and playing or listening to music.
Home institution: Queen Mary
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