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 generation module. The manipulation map describes top-down factors, such as human face, hands and gaze in the input image. To evaluate...

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Published in:HRI '14 : proceedings of the 2014 ACM/IEEE International Conference on Human-Robot Interaction : March 3-6, 2014, Bielefeld, Germany pp. 302 - 303
Main Authors: Tamura, Yusuke, Yano, Shiro, Osumi, Hisashi
Format: Conference Proceeding
Language:English
Japanese
Published: New York, NY, USA ACM 03.03.2014
Series:ACM Conferences
Subjects:
Analytical models
Attention
Computational modeling
Computer systems organization > Embedded and cyber-physical systems > Robotics
Computing methodologies > Artificial intelligence > Control methods > Robotic planning
Computing methodologies > Artificial intelligence > Planning and scheduling > Robotic planning
Face
Human-robot interaction
magic
Mathematical model
Robots
Visualization
magic
human-robot interaction
attention
ISBN:1450326587, 9781450326582
Online Access:Get full text
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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.
AbstractList 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.
Author Tamura, Yusuke
Osumi, Hisashi
Yano, Shiro
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  givenname: Shiro
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  givenname: Hisashi
  surname: Osumi
  fullname: Osumi, Hisashi
  email: osumi@mech.chuo-u.ac.jp
  organization: Chuo University, Tokyo, Japan
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Keywords magic
human-robot interaction
attention
Language English
Japanese
License Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
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Snippet In this study, we developed a human attention model for smooth human-robot interaction. The model consists of the saliency map generation module and...
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StartPage 302
SubjectTerms Analytical models
Attention
Computational modeling
Computer systems organization -- Embedded and cyber-physical systems -- Robotics
Computing methodologies -- Artificial intelligence -- Control methods -- Robotic planning
Computing methodologies -- Artificial intelligence -- Planning and scheduling -- Robotic planning
Face
Human-robot interaction
magic
Mathematical model
Robots
Visualization
Title Modeling of human attention based on analysis of magic
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