Attention estimation for child-robot interaction

Muhammad Attamimi, Masahiro Miyata, Tetsuji Yamada, Takashi Omori, Ryoma Hida

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Citations (Scopus)

Abstract

In this paper, we present a method of estimating a child's attention, one of the more important human mental states, in a free-play scenario of child-robot interaction. First, we developed a system that could sense a child's verbal and nonverbal multimodal signals such as gaze, facial expression, proximity, and so on. Then, the observed information was used to train a Support Vector Machine (SVM) to estimate a human's attention level. We investigated the accuracy of the proposed method by comparing with a human judge's estimation, and obtained some promising results which we discuss here.

Original languageEnglish
Title of host publicationHAI 2016 - Proceedings of the 4th International Conference on Human Agent Interaction
PublisherAssociation for Computing Machinery, Inc
Pages267-270
Number of pages4
ISBN (Electronic)9781450345088
DOIs
Publication statusPublished - 4 Oct 2016
Externally publishedYes
Event4th International Conference on Human Agent Interaction, HAI 2016 - Biopolis, Singapore
Duration: 4 Oct 20167 Oct 2016

Publication series

NameHAI 2016 - Proceedings of the 4th International Conference on Human Agent Interaction

Conference

Conference4th International Conference on Human Agent Interaction, HAI 2016
Country/TerritorySingapore
CityBiopolis
Period4/10/167/10/16

Keywords

  • Attention estimation
  • Child-robot interaction
  • Multimodal information

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