Visualizing gaze direction to support video coding of social attention for children with autism spectrum disorder

Keita Higuch, Soichiro Matsuda, Rie Kamikubo, Takuya Enomoto, Yusuke Sugano, Junichi Yamamoto, Yoichi Sato

研究成果: Conference contribution

8 被引用数 (Scopus)

抄録

This paper presents a novel interface to support video coding of social attention in the assessment of children with autism spectrum disorder. Video-based evaluations of social attention during therapeutic activities allow observers to find target behaviors while handling the ambiguity of attention. Despite the recent advances in computer vision-based gaze estimation methods, fully automatic recognition of social attention under diverse environments is still challenging. The goal of this work is to investigate an approach that uses automatic video analysis in a supportive manner for guiding human judgment. The proposed interface displays visualization of gaze estimation results on videos and provides GUI support to allow users to facilitate agreement between observers by defining social attention labels on the video timeline. Through user studies and expert reviews, we show how the interface helps observers perform video coding of social attention and how human judgment compensates for technical limitations of the automatic gaze analysis.

本文言語English
ホスト出版物のタイトルIUI 2018 - Proceedings of the 23rd International Conference on Intelligent User Interfaces
出版社Association for Computing Machinery
ページ571-582
ページ数12
ISBN(電子版)9781450349451
DOI
出版ステータスPublished - 2018 3月 5
イベント23rd ACM International Conference on Intelligent User Interfaces, IUI 2018 - Tokyo, Japan
継続期間: 2018 3月 72018 3月 11

出版物シリーズ

名前International Conference on Intelligent User Interfaces, Proceedings IUI

Conference

Conference23rd ACM International Conference on Intelligent User Interfaces, IUI 2018
国/地域Japan
CityTokyo
Period18/3/718/3/11

ASJC Scopus subject areas

  • ソフトウェア
  • 人間とコンピュータの相互作用

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