IJCAI'83 Proceedings of the Eighth international joint conference on Artificial intelligence - Volume 2
Estimating user's engagement from eye-gaze behaviors in human-agent conversations
Proceedings of the 15th international conference on Intelligent user interfaces
Probabilistic latent semantic analysis
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
What do you want to do next: a novel approach for intent prediction in gaze-based interaction
Proceedings of the Symposium on Eye Tracking Research and Applications
Multi-mode saliency dynamics model for analyzing gaze and attention
Proceedings of the Symposium on Eye Tracking Research and Applications
Proceedings of the Symposium on Eye Tracking Research and Applications
Semantic interpretation of eye movements using designed structures of displayed contents
Proceedings of the 4th Workshop on Eye Gaze in Intelligent Human Machine Interaction
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Gaze behavior is one of crucial clues to understand human mental states. The goal of this study is to build a probabilistic model that represents relationships between users' gaze behavior and user states while catalog browsing. In the proposed model, users' gaze behavior is interpreted based on semantic and spatial relationships among objects constituting displayed contents, which is referred to as designed structures. Moreover, a method for estimating users' mental states is also proposed based on the model to evaluate the model by measuring the performance of user state estimation. The results from preliminary experiments show that the proposed model improved estimation accuracies of user states compared to other baseline methods.