Ben Abdesslem, F;
Henderson, T;
Brostoff, S;
Sasse, MA;
(2011)
Context-based Personalised Settings for Mobile Location Sharing.
Presented at: ACM Recommender Systems 2011 (RecSys): Workshop on Personalization in Mobile Applications, Chicago, Illinois, US.
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Abstract
Location-Based Services (LBSes) are increasing in popularity, but create many privacy concerns for users. LBSes usually rely on the same default privacy settings for all users. In this position paper, we claim that such settings are inappropriate for location sharing and that settings should instead rely on contextual information to recommend personalised privacy settings for users. We present results of an initial user study (n=80) to corroborate this position, and suggest avenues for further research.
Type: | Conference item (Presentation) |
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Title: | Context-based Personalised Settings for Mobile Location Sharing |
Event: | ACM Recommender Systems 2011 (RecSys): Workshop on Personalization in Mobile Applications |
Location: | Chicago, Illinois, US |
Dates: | 2011-10-23 - 2011-10-27 |
Open access status: | An open access version is available from UCL Discovery |
Publisher version: | http://pema2011.cs.ucl.ac.uk/programme.html |
Language: | English |
Additional information: | Copyright 2011 The Authors. citeulike-article-id: 10535000 citeulike-linkout-0: http://pema2011.cs.ucl.ac.uk/papers/pema2011_benabdesslem.pdf keywords: facebook, location, online-social-networks, personalisation, recommendation, st_andrews_locshare, uses_crawdad_data location: Chicago, IL, USA posted-at: 2012-04-05 15:52:33 priority: 0 |
UCL classification: | UCL UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
URI: | https://discovery.ucl.ac.uk/id/eprint/1366952 |
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