Abstract
Research in virtual camera control has focused primarily on finding methods to allow designers to place cameras effectively and efficiently in dynamic and unpredictable environments, and to generate complex and dynamic plans for cinematography in virtual environments. In this article, we propose a novel approach to virtual camera control, which builds upon camera control and player modelling to provide the user with an adaptive point-of-view. To achieve this goal, we propose a methodology to model the player’s preferences on virtual camera movements and we employ the resulting models to tailor the viewpoint movements to the player type and her game-play style. Ultimately, the methodology is applied to a 3D platform game and is evaluated through a controlled experiment; the results suggest that the resulting adaptive cinematographic experience is favoured by some player types and it can generate a positive impact on the game performance.
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Notes
Further details on the experimental protocol employed to conduct the data collection experiment can be found in Picardi et al. (2011), while the details on how the features are calculated and normalised, and what indices and parameters have been used in the clustering process can be found in Burelli and Yannakakis (2011).
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Burelli, P., Yannakakis, G.N. Adapting virtual camera behaviour through player modelling. User Model User-Adap Inter 25, 155–183 (2015). https://doi.org/10.1007/s11257-015-9156-4
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DOI: https://doi.org/10.1007/s11257-015-9156-4