Towards Adaptive Virtual Camera Control In Computer Games

Paolo Burelli, Georgios N. Yannakakis

    Research output: Journal Article or Conference Article in JournalConference articleResearchpeer-review


    Automatic camera control aims to define a framework to control virtual camera movements in dynamic and unpredictable virtual environments while ensuring a set of desired visual properties. We inves- tigate the relationship between camera placement and playing behaviour in games and build a user model of the camera behaviour that can be used to control camera movements based on player preferences. For this purpose, we collect eye gaze, camera and game-play data from subjects playing a 3D platform game, we cluster gaze and camera information to identify camera behaviour profiles and we employ machine learning to build predictive models of the virtual camera behaviour. The perfor- mance of the models on unseen data reveals accuracies above 70% for all the player behaviour types identified. The characteristics of the gener- ated models, their limits and their use for creating adaptive automatic camera control in games is discussed.
    Original languageEnglish
    Book seriesLecture Notes in Computer Science
    Pages (from-to)25-36
    Publication statusPublished - 2011


    • Automatic camera control
    • Virtual environments
    • Player preferences
    • Eye gaze data
    • Machine learning models


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