@inproceedings{ccfb1e6c5bd6410fad40d90c44e206c8,
title = "Motion-oriented attention for a social gaze robot behavior",
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{\textquoteright}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.",
author = "Mihaela Sorostinean and Fran{\c c}ois Ferland and Dang, \{Thi Hai Ha\} and Adriana Tapus",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2014.; 6th International Conference on Social Robotics, ICSR 2014 ; Conference date: 27-10-2014 Through 29-10-2014",
year = "2014",
month = jan,
day = "1",
doi = "10.1007/978-3-319-11973-1\_32",
language = "English",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "310--319",
editor = "Michael Beetz and Michael Beetz and Mary-Anne Williams and Benjamin Johnston and Mary-Anne Williams",
booktitle = "Social Robotics - 6th International Conference, ICSR 2014, Proceedings",
}