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

Evgenios Vlachos, Elizabeth Ann Jochum, Henrik Schärfe

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

4 Citations (Scopus)


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.
Original languageEnglish
Title of host publicationCultural Robotics : First International Workshop, CR 2015, Held as Part of IEEE RO-MAN 2015, Kobe, Japan, August 31, 2015. Revised Selected Papers
Number of pages11
Publication date2016
ISBN (Electronic)978-3-319-42945-8
Publication statusPublished - 2016
EventInternational Symposium on Robot and Human Interactive Communication - Kobe, Japan
Duration: 31 Aug 20154 Sept 2015
Conference number: 24th


ConferenceInternational Symposium on Robot and Human Interactive Communication
SeriesLecture Notes In Artificial Intelligence


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