Embodiment, Privacy and Social Robots: May I Remember You?

Tonkin, M; Vitale, J; Ojha, S; Clark, J; Pfeiffer, S; Judge, W; Wang, X; Williams, MA

Embodiment, Privacy and Social Robots: May I Remember You?

Tonkin, M Vitale, J

Ojha, S

Clark, J

Pfeiffer, S Judge, W Wang, X

Williams, MA

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Publication Type:: Conference Proceeding
Citation:: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2017, 10652 LNAI pp. 506 - 515
Issue Date:: 2017-01-01

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Field	Value	Language
dc.contributor.author	Tonkin, M	en_US
dc.contributor.author	Vitale, J https://orcid.org/0000-0001-6099-675X	en_US
dc.contributor.author	Ojha, S https://orcid.org/0000-0003-4856-8335	en_US
dc.contributor.author	Clark, J https://orcid.org/0000-0002-1920-341X	en_US
dc.contributor.author	Pfeiffer, S	en_US
dc.contributor.author	Judge, W	en_US
dc.contributor.author	Wang, X https://orcid.org/0000-0002-7459-1670	en_US
dc.contributor.author	Williams, MA https://orcid.org/0000-0002-1047-0503	en_US
dc.date.issued	2017-01-01	en_US
dc.identifier.citation	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2017, 10652 LNAI pp. 506 - 515	en_US
dc.identifier.isbn	9783319700212	en_US
dc.identifier.issn	0302-9743	en_US
dc.identifier.uri	http://hdl.handle.net/10453/121743
dc.description.abstract	© 2017, Springer International Publishing AG. As social robots move from the laboratory into public settings the possibility of unwanted intrusion into a user’s personal privacy is magnified. The actual social interaction between human and robot may involve anthropomorphising of the robot by the user, and this may prompt the user to disclose private or sensitive information. To comprehend possible impacts we conducted an exploratory study with a novel privacy measure to understand changes to users’ privacy considerations when interacting with an embodied robotic system vs a disembodied system. In this paper we measure the difference in personal information provided to such systems, and discuss the idea that embodiment may increase users’ risk tolerance and reduce their privacy concerns.	en_US
dc.relation	http://purl.org/au-research/grants/arc/DP160102693
dc.relation.ispartof	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	en_US
dc.relation.isbasedon	10.1007/978-3-319-70022-9_50	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	Embodiment, Privacy and Social Robots: May I Remember You?	en_US
dc.type	Conference Proceeding
utslib.citation.volume	10652 LNAI	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
pubs.organisational-group	/University of Technology Sydney/Students
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	10652 LNAI	en_US

Abstract:

© 2017, Springer International Publishing AG. As social robots move from the laboratory into public settings the possibility of unwanted intrusion into a user’s personal privacy is magnified. The actual social interaction between human and robot may involve anthropomorphising of the robot by the user, and this may prompt the user to disclose private or sensitive information. To comprehend possible impacts we conducted an exploratory study with a novel privacy measure to understand changes to users’ privacy considerations when interacting with an embodied robotic system vs a disembodied system. In this paper we measure the difference in personal information provided to such systems, and discuss the idea that embodiment may increase users’ risk tolerance and reduce their privacy concerns.

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

http://hdl.handle.net/10453/121743