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dc.contributor.authorGong, Nan-wei
dc.contributor.authorLaibowitz, Mathew Joel
dc.contributor.authorParadiso, Joseph A
dc.date.accessioned2011-10-03T14:02:15Z
dc.date.available2011-10-03T14:02:15Z
dc.date.issued2010-11
dc.identifier.isbn9783642169175
dc.identifier.urihttp://hdl.handle.net/1721.1/66150
dc.description.abstractThis paper describes the design and implementation of a dynamic privacy management system aimed at enabling tangible privacy control and feedback in a pervasive sensor network. Our work began with the development of a potentially invasive sensor network (with high resolution video, audio, and motion tracking capabilities) featuring different interactive applications that created incentive for accepting this network as an extension of people’s daily social space. A user study was then conducted to evaluate several privacy management approaches – an active badge system for both online and on-site control, on/off power switches for physically disabling the hardware, and touch screen input control. Results from a user study indicated that an active badge for on-site privacy control is the most preferable method among all provided options. We present a set of results that yield insight into the privacy/benefit tradeoff from various sensing capabilities in pervasive sensor networks and how privacy settings and user behavior relate in these environments.en_US
dc.description.sponsorshipThings That Think Consortiumen_US
dc.language.isoen_US
dc.publisherSpringer Science + Business Media B.V.en_US
dc.relation.isversionofhttp://dx.doi.org/10.1007/978-3-642-16917-5_10en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alike 3.0en_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/en_US
dc.sourceMIT web domainen_US
dc.titleDynamic privacy management in pervasive sensor networksen_US
dc.typeArticleen_US
dc.identifier.citationGong, Nan-Wei, Mathew Laibowitz, and Joseph A. Paradiso. “Dynamic Privacy Management in Pervasive Sensor Networks.” Ambient Intelligence. Ed. Boris Ruyter et al. Vol. 6439. Berlin : Springer Berlin Heidelberg, 2010. 96-106. (Lecture notes in computer science ; 6439)en_US
dc.contributor.departmentMassachusetts Institute of Technology. Media Laboratoryen_US
dc.contributor.departmentProgram in Media Arts and Sciences (Massachusetts Institute of Technology)en_US
dc.contributor.approverParadiso, Joseph A.
dc.contributor.mitauthorParadiso, Joseph A.
dc.contributor.mitauthorGong, Nan-wei
dc.contributor.mitauthorLaibowitz, Mathew Joel
dc.relation.journalAmbient Intelligenceen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
dspace.orderedauthorsGong, Nan-Wei; Laibowitz, Mathew; Paradiso, Joseph A.en
dc.identifier.orcidhttps://orcid.org/0000-0002-6399-5776
dc.identifier.orcidhttps://orcid.org/0000-0002-0719-7104
mit.licenseOPEN_ACCESS_POLICYen_US
mit.metadata.statusComplete


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