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dc.contributor.authorAbdesslem, Fehmi Ben
dc.contributor.authorParris, Iain
dc.contributor.authorHenderson, Tristan Nicholas Hoang
dc.date.accessioned2011-10-07T15:26:02Z
dc.date.available2011-10-07T15:26:02Z
dc.date.issued2010-09-06
dc.identifier.citationAbdesslem , F B , Parris , I & Henderson , T N H 2010 , ' Mobile experience sampling: Reaching the parts of Facebook other methods cannot reach ' , Paper presented at 24th BCS Conference on Human Computer Interaction (HCI2010) , Dundee , United Kingdom , 6/09/10 - 10/09/10 .en
dc.identifier.citationconferenceen
dc.identifier.otherPURE: 2362657
dc.identifier.otherPURE UUID: 4672a7ac-1312-4ff0-8f00-d8f6a398c2eb
dc.identifier.otherBibtex: urn:0296f65126a902687d64e1b0cedd71c6
dc.identifier.urihttp://hdl.handle.net/10023/2016
dc.descriptionPaper presented at the Privacy and Usability Methods Pow-wow (PUMP) workshop, in conjunction with the 24th BCS International Conference on Human-Computer Interaction. This work is funded by the EPSRC/TSB Privacy Value Networks project (EP/G002606/1).en
dc.description.abstractLocation-aware Social Network Sites (SNS) are now widely used by mobile phone users, enabling users to share their location in real time to their social network. Such location-sharing may introduce privacy concerns depending on the user, the location being shared, and the people to whom they are shared. The study of such privacy concerns is difficult, as a user filling out a questionnaire may forget the exact reasons for sharing. We have explored the Experience Sampling Method (ESM) for in situ capture of users’ experiences. This paper describes our mobile phone ESM testbed and presents preliminary results obtained from a 2-week experiment with 40 students sharing their location in real time on Facebook, a popular SNS.
dc.format.extent8
dc.language.isoeng
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subject.lccQA75en
dc.titleMobile experience sampling: Reaching the parts of Facebook other methods cannot reachen
dc.typeConference paperen
dc.description.versionPreprinten
dc.contributor.institutionUniversity of St Andrews.School of Computer Scienceen
dc.description.statusNon peer revieweden
dc.identifier.urlhttp://scone.cs.st-andrews.ac.uk/pump2010/en
dc.identifier.urlhttp://www.hci2010.org/en


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