Head Orientation Behavior of Users and Durations in Playful Open-Ended Interactions with an Android Robot

Evgenios Vlachos, Elizabeth Ann Jochum, Henrik Schärfe

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4 Citationer (Scopus)

Abstrakt

This paper presents the results of a field-experiment focused on the head orientation behavior of users in short-term dyadic interactions with an android (male) robot in a playful context, as well as on the duration of the interactions. The robotic trials took place in an art exhibition where visitors approached the robot either in groups, or alone, and were let free to either engage, or not in conversation. Our initial hypothesis that visitors in groups would show increased rates of head turning behavior in contrast to those who came alone, since the turn-taking activity would include more participants, was not confirmed. Analysis of the results indicated that, on the one hand, gender did not play any significant role in head orientation, a behavior connected tightly to attention direction, and on the other hand, female subjects have spent significantly more time with the robot than male subjects. The findings suggest that androids have the ability to maintain the focus of attention during short-term in-teractions within a playful context. This study provides an insight on how users communicate with an android robot, and on how to design meaningful human robot social interaction for real life situations.
OriginalsprogEngelsk
TitelCultural Robotics : First International Workshop, CR 2015, Held as Part of IEEE RO-MAN 2015, Kobe, Japan, August 31, 2015. Revised Selected Papers
Antal sider11
ForlagSpringer
Publikationsdato2016
Udgave1.
Sider67-77
ISBN (Elektronisk)978-3-319-42945-8
DOI
StatusUdgivet - 2016
BegivenhedInternational Symposium on Robot and Human Interactive Communication - Kobe, Japan
Varighed: 31 aug. 20154 sep. 2015
Konferencens nummer: 24th

Konference

KonferenceInternational Symposium on Robot and Human Interactive Communication
Nummer24th
Land/OmrådeJapan
ByKobe
Periode31/08/201504/09/2015
NavnLecture Notes In Artificial Intelligence
Vol/bind9549
ISSN0302-9743

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