Modeling of human attention based on analysis of magic

Authors:
Yusuke Tamura;Shiro Yano;Hisashi Osumi
Affiliations:
Chuo University, Tokyo, Japan;Ritsumeikan University, Shiga, Japan;Chuo University, Tokyo, Japan
Venue:
Proceedings of the 2014 ACM/IEEE international conference on Human-robot interaction
Year:
2014

Citing 2
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Abstract

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 generation 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.