TY - GEN
T1 - Modeling of human attention based on analysis of magic
AU - Tamura, Yusuke
AU - Yano, Shiro
AU - Osumi, Hisashi
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
KW - Attention
KW - Human-robot interaction
KW - Magic
UR - http://www.scopus.com/inward/record.url?scp=84896990394&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84896990394&partnerID=8YFLogxK
U2 - 10.1145/2559636.2559819
DO - 10.1145/2559636.2559819
M3 - Conference contribution
AN - SCOPUS:84896990394
SN - 9781450326582
T3 - ACM/IEEE International Conference on Human-Robot Interaction
SP - 302
EP - 303
BT - HRI 2014 - Proceedings of the 2014 ACM/IEEE International Conference on Human-Robot Interaction
PB - IEEE Computer Society
T2 - 9th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2014
Y2 - 3 March 2014 through 6 March 2014
ER -