Head pose behavior in the Human-Robot Interaction space

Caraian, S; Kirchner, N

Head pose behavior in the Human-Robot Interaction space

Caraian, S Kirchner, N

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Publication Type:: Conference Proceeding
Citation:: ACM/IEEE International Conference on Human-Robot Interaction, 2014, pp. 132 - 133
Issue Date:: 2014-01-01

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Field	Value	Language
dc.contributor.author	Caraian, S	en_US
dc.contributor.author	Kirchner, N https://orcid.org/0000-0002-3018-992X	en_US
dc.date.issued	2014-01-01	en_US
dc.identifier.citation	ACM/IEEE International Conference on Human-Robot Interaction, 2014, pp. 132 - 133	en_US
dc.identifier.isbn	9781450326582	en_US
dc.identifier.uri	http://hdl.handle.net/10453/30222
dc.description.abstract	Visual Focus of Attention is an important mechanism to support successful interactions. In order to communicate effectively and intentionally (issuing cues when a person is paying attention, for example), a robot must have an understanding of this Visual Focus of Attention behavior in the Human-Robot Interaction space. A real-world interaction study was conducted with 24 unsolicited participants to explore attention behavior towards robots in this space. The results suggest there is no generalizable attention pattern between people, and thus that online, in situ Visual Focus of Attention estimation would be advantageous to Human-Robot Interaction.	en_US
dc.relation.ispartof	ACM/IEEE International Conference on Human-Robot Interaction	en_US
dc.relation.isbasedon	10.1145/2559636.2559800	en_US
dc.title	Head pose behavior in the Human-Robot Interaction space	en_US
dc.type	Conference Proceeding
utslib.for	0913 Mechanical Engineering	en_US
dc.location.activity	Bielefeld, Germany
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/DVC (Research)
pubs.organisational-group	/University of Technology Sydney/DVC (Research)/Institute For Sustainable Futures
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

Visual Focus of Attention is an important mechanism to support successful interactions. In order to communicate effectively and intentionally (issuing cues when a person is paying attention, for example), a robot must have an understanding of this Visual Focus of Attention behavior in the Human-Robot Interaction space. A real-world interaction study was conducted with 24 unsolicited participants to explore attention behavior towards robots in this space. The results suggest there is no generalizable attention pattern between people, and thus that online, in situ Visual Focus of Attention estimation would be advantageous to Human-Robot Interaction.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/30222