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dc.contributor.authorZhao, Yuchen
dc.contributor.authorYe, Juan
dc.contributor.authorHenderson, Tristan
dc.date.accessioned2016-03-07T00:12:01Z
dc.date.available2016-03-07T00:12:01Z
dc.date.issued2016-03-07
dc.identifier.citationZhao , Y , Ye , J & Henderson , T 2016 , The effect of privacy concerns on privacy recommenders . in Proceedings of the 21st International Conference on Intelligent User Interfaces (IUI '16) . ACM , New York , pp. 218-227 , ACM International Conference on Intelligent User Interfaces (IUI '16) , Sonoma , California , United States , 7/03/16 . https://doi.org/10.1145/2856767.2856771en
dc.identifier.citationconferenceen
dc.identifier.isbn9781450341370
dc.identifier.otherPURE: 238216551
dc.identifier.otherPURE UUID: 67df2a50-db6f-4d6d-8dd3-5a8bc7bae2d8
dc.identifier.otherBibtex: urn:d2733c88af68bd92b02141f8dd3a4cdc
dc.identifier.otherScopus: 84963751951
dc.identifier.otherWOS: 000389809600027
dc.identifier.otherORCID: /0000-0002-2838-6836/work/68280981
dc.identifier.urihttps://hdl.handle.net/10023/8367
dc.description.abstractLocation-sharing services such as Facebook and Foursquare/Swarm have become increasingly popular, due to the ease at which users can share their locations, and participate in services, games and other applications that leverage these locations. But it is important for people who use these services to configure appropriate location-privacy preferences so that they can control to whom they want to share their location information. Manually configuring these preferences may be burdensome and confusing, and so location-privacy preference recommenders based on crowdsourcing preferences from other users have been proposed. Whether people will accept the recommended preferences acquired from other users, who they may not know or trust, has not, however, been investigated.In this paper, we present a user experiment (n=99) to explore what factors influence people’s acceptance of location privacy preference recommenders. We find that 44% of our participants have privacy concerns about such recommenders. These concerns are shown to have a negative effect (p <0.001) on their acceptance of the recommendations and their satisfaction about their choices. Furthermore, users’ acceptance of recommenders varies according to both context and recommendations being made. Our findings are potentially useful to designers of location-sharing services and privacy recommenders.
dc.format.extent10
dc.language.isoeng
dc.publisherACM
dc.relation.ispartofProceedings of the 21st International Conference on Intelligent User Interfaces (IUI '16)en
dc.rights© 2016, Publisher / the Author(s). This work is made available online in accordance with the publisher’s policies. This is the author created, accepted version manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available dl.acm.org / https://dx.doi.org/10.1145/2856767.2856771en
dc.subjectLocation-based servicesen
dc.subjectLocation-sharing servicesen
dc.subjectPrivacy preferencesen
dc.subjectRecommender systemsen
dc.subjectUser acceptanceen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectNDASen
dc.subjectBDCen
dc.subjectR2Cen
dc.subject~DC~en
dc.subject.lccQA75en
dc.titleThe effect of privacy concerns on privacy recommendersen
dc.typeConference itemen
dc.description.versionPostprinten
dc.contributor.institutionUniversity of St Andrews. School of Computer Scienceen
dc.identifier.doihttps://doi.org/10.1145/2856767.2856771
dc.date.embargoedUntil2016-03-07


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