Modeling of human attention based on analysis of magic

Yusuke Tamura, Shiro Yano, Hisashi Osumi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationHRI 2014 - Proceedings of the 2014 ACM/IEEE International Conference on Human-Robot Interaction
PublisherIEEE Computer Society
Pages302-303
Number of pages2
ISBN (Print)9781450326582
DOIs
Publication statusPublished - 2014
Externally publishedYes
Event9th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2014 - Bielefeld, Germany
Duration: 2014 Mar 32014 Mar 6

Publication series

NameACM/IEEE International Conference on Human-Robot Interaction
ISSN (Electronic)2167-2148

Conference

Conference9th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2014
Country/TerritoryGermany
CityBielefeld
Period14/3/314/3/6

Keywords

  • Attention
  • Human-robot interaction
  • Magic

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Modeling of human attention based on analysis of magic'. Together they form a unique fingerprint.

Cite this