Head orientation and gaze direction in meetings
CHI '02 Extended Abstracts on Human Factors in Computing Systems
Efficient Graph-Based Image Segmentation
International Journal of Computer Vision
Visual attention in 3D video games
Proceedings of the 2006 ACM SIGCHI international conference on Advances in computer entertainment technology
Visually directing user's attention in interactive 3D environments
SIGGRAPH '04 ACM SIGGRAPH 2004 Posters
Proceedings of the 1st Conference on Novel Gaze-Controlled Applications
Hi-index | 0.00 |
Eye movements can be used to infer the allocation of covert attention. In this article, we propose to model the allocation of attention in a task-dependent manner based on different eye movement conditions, specifically fixation and pursuit. We show that the image complexity at eye fixation points during fixation, and the pursuit direction during pursuit are significant factors in attention allocation. Results of the study are applied to the design of an interactive computer game. Real-time eye movement information is taken as one of inputs for the game. The utility of such eye information for controlling game difficulty is shown.