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dc.contributor.authorSandnes, Frode Eika
dc.date.accessioned2022-02-11T08:22:22Z
dc.date.available2022-02-11T08:22:22Z
dc.date.created2021-11-28T10:56:41Z
dc.date.issued2021-08-26
dc.identifier.isbn978-3-030-85609-0
dc.identifier.isbn978-3-030-85610-6
dc.identifier.issn0302-9743
dc.identifier.issn1611-3349
dc.identifier.urihttps://hdl.handle.net/11250/2978379
dc.description.abstractWhen following participants across multiple sessions one needs a way to link the different session records while protecting the participants’ privacy. Privacy is required by recent legislation such as the General Data Protection Regulation (GDPR). Many anonymous linking methods have been proposed, but these involve effort from the participants, involve long IDs, or require all participants to be known a priori. This study presents the BRIDGE procedure for anonymous linking of participant records with dynamically increasing samples. The procedure relies on human intervention to resolve ambiguous cases using manual recognition challenges. Simulation results show that the procedure can successfully map participant names to short and unique anonymous IDs, and that the percentage of human interventions is low. The procedure holds potential for HCI researchers who need to employ simple, flexible, and incremental sampling strategies while protecting participants’ privacy.en_US
dc.language.isoengen_US
dc.publisherSpringeren_US
dc.relation.ispartofIFIP Proceedings of INTERACT 2021
dc.relation.ispartofseriesLecture Notes in Computer Science;Volume 12935
dc.subjectPrivacyen_US
dc.subjectLongitudinal researchen_US
dc.subjectGeneral data protection regulationsen_US
dc.subjectGDPRen_US
dc.subjectRecord linkingen_US
dc.subjectSnowball samplingen_US
dc.titleBRIDGE: Administering Small Anonymous Longitudinal HCI Experiments with Snowball-type Samplingen_US
dc.typeChapteren_US
dc.typePeer revieweden_US
dc.typeConference objecten_US
dc.typeJournal articleen_US
dc.description.versionacceptedVersionen_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.fulltextpostprint
cristin.qualitycode1
dc.identifier.cristin1960298
dc.source.journalLecture Notes in Computer Scienceen_US
dc.source.volume12935en_US
dc.source.pagenumber287-297en_US


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