Modeling of Human Attention Based on Analysis of Magic


In this study, we developed a human attention model for smooth human-robot interaction. The model consists of the saliency map generation module and manipulation map gen- eration module. The manipulation map describes top-down factors, such as human face, hands and gaze in the input image. To evaluate the proposed model, we applied the model to a magic video, and measured human gaze points during watching the video. Based on the experimental results, the proposed model can better explain human attention than the saliency map.

Proceedings of the 2014 ACM/IEEE International Conference on Human-Robot Interaction, pp.302-303