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...

Full description

Saved in:
Bibliographic Details
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
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISBN:1450326587
9781450326582
DOI:10.1145/2559636.2559819