Motion-oriented attention for a social gaze robot behavior

Mihaela Sorostinean, François Ferland, Thi Hai Ha Dang, Adriana Tapus

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

Abstract

Various studies have shown that human visual attention is generally attracted by motion in the field of view. In order to embody this kind of social behavior in a robot, its gaze should focus on key points in its environment, such as objects or humans moving. In this paper, we have developed a social natural attention system and we explore the perception of people while interacting with a robot in three different situations: one where the robot has a totally random gaze behavior, one where its gaze is fixed on the person in the interaction, and one where its gaze behavior adapts to the motion-based environmental context. We conducted an online survey and an on-site experiment with the Meka robot so as to evaluate people’s perception towards these three types of gaze. Our results show that motion-oriented gaze can help to make the robot more engaging and more natural to people.

Original languageEnglish
Title of host publicationSocial Robotics - 6th International Conference, ICSR 2014, Proceedings
EditorsMichael Beetz, Michael Beetz, Mary-Anne Williams, Benjamin Johnston, Mary-Anne Williams
PublisherSpringer Verlag
Pages310-319
Number of pages10
ISBN (Electronic)9783319119724
DOIs
Publication statusPublished - 1 Jan 2014
Externally publishedYes
Event6th International Conference on Social Robotics, ICSR 2014 - Sydney, Australia
Duration: 27 Oct 201429 Oct 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8755
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference6th International Conference on Social Robotics, ICSR 2014
Country/TerritoryAustralia
CitySydney
Period27/10/1429/10/14

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