TY - JOUR
T1 - Modelling Virtual Camera Behaviour Through Player Gaze
AU - Picardi, Andrea
AU - Burelli, Paolo
AU - Yannakakis, Georgios N.
N1 - ok, Verificeret i ACM digital library/haal
Skal muligvis ind som konferenceserie i den nye PURE-version?
PY - 2012
Y1 - 2012
N2 - In a three-dimensional virtual environment, aspects such as narrative and interaction largely depend on the placement and animation of the virtual camera. Therefore, virtual camera control plays a critical role in player experience and, thereby, in the overall quality of a computer game. Both game industry and game AI research focus on the devel- opment of increasingly sophisticated systems to automate the control of the virtual camera integrating artificial intel- ligence algorithms within physical simulations. However, in both industry and academia little research has been carried out on the relationship between virtual camera, game-play and player behaviour. We run a game user experiment to shed some light on this relationship and identify relevant dif- ferences between camera behaviours through different game sessions, playing behaviours and player gaze patterns. Re- sults show that users can be efficiently profiled in dissimilar clusters according to camera control as part of their game- play behaviour.
AB - In a three-dimensional virtual environment, aspects such as narrative and interaction largely depend on the placement and animation of the virtual camera. Therefore, virtual camera control plays a critical role in player experience and, thereby, in the overall quality of a computer game. Both game industry and game AI research focus on the devel- opment of increasingly sophisticated systems to automate the control of the virtual camera integrating artificial intel- ligence algorithms within physical simulations. However, in both industry and academia little research has been carried out on the relationship between virtual camera, game-play and player behaviour. We run a game user experiment to shed some light on this relationship and identify relevant dif- ferences between camera behaviours through different game sessions, playing behaviours and player gaze patterns. Re- sults show that users can be efficiently profiled in dissimilar clusters according to camera control as part of their game- play behaviour.
M3 - Journal article
SP - 107
EP - 114
JO - Foundations of Digital Games Conference Proceedings
JF - Foundations of Digital Games Conference Proceedings
ER -