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dc.contributor.authorCabero, José María
dc.contributor.authorUrteaga, Iñigo
dc.contributor.authorMolina, Virginia
dc.contributor.authorLiberal, Fidel
dc.contributor.authorMartín, José Luis
dc.date.accessioned2016-06-20T13:26:16Z
dc.date.available2016-06-20T13:26:16Z
dc.date.issued2015-01
dc.identifier.citationAd Hoc Networks, Volume 24, Part A, January 2015, Pages 135–146en
dc.identifier.issn1570-8705en
dc.identifier.urihttp://hdl.handle.net/11556/256
dc.description.abstractThe characterization of human interaction at different levels has been a matter of interest in many disciplines. So far, social networking through the Internet has been the main source to infer human beings' relations. Nevertheless, due to the irruption of wearable devices with wireless communication capabilities, initiatives that use them to measure physical proximity are increasingly popular. Built-in wireless communication technologies allow these devices to detect each other and to infer their owners' interaction, based on their proximity measurements. This approach, which is followed by most proximity initiatives in the research community, poses three main challenges that usually limit the quality of collected data and consequently, the reliability of human behavior characterization: the person-device uncertainty, the sample period and the bias caused by the particularities of the underlying wireless technology. The work presented here analyzes empirically the impact of these three limitations when Bluetooth is the communication technology used to detect proximity. It also presents the expansion of the results when additional mechanisms to counteract the impediments are applied, and it states their necessity for the reliability of the results. They show relevant differences with previous initiatives that open a discussion on the proper use of wireless wearable devices as a tool for the characterization of human interactions.en
dc.description.sponsorshipFP7: European Project SAIL; grant number: 257448en
dc.language.isoengen
dc.publisherELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDSen
dc.titleReliability of Bluetooth-based connectivity traces for the characterization of human interactionen
dc.typearticleen
dc.identifier.doi10.1016/j.adhoc.2014.08.010en
dc.isiYesen
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/FP7/257448/EU/SAIL: Scalable & Adaptive Internet soLutions/SAILen
dc.rights.accessRightsembargoedAccessen
dc.subject.keywordsBluetoothen
dc.subject.keywordsConnectivity tracesen
dc.subject.keywordsHuman interactionen
dc.subject.keywordsContact timesen
dc.subject.keywordsInter-contact timesen
dc.subject.keywordsReal databaseen


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