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Novelty Optimisation


Creative Computing

Project proposed & supervised by

Jeremy Gow, Sebastian Deterding

To discuss whether this project could become your PhD proposal please email:

Novelty Optimisation

Project proposal abstract:

New levels, new characters, new items, new opponents: Novelty is a major game feature stoking sustained player curiosity and interest. Too much repetition, and players get bored. But is there such a thing as too much novelty? Games already do automatic difficulty balancing – finding just the right level of challenge. Can we do the same for novelty – identify and automatically balance the right amount of novel content we serve to players? This project would benefit from a computational methods background, such as computational psychology, cognitive science, machine learning, or procedural content generation, and an interest in player psychology.

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