Reliability of Bluetooth-based connectivity traces for the characterization of human interaction

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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.contributor.institutionTecnalia Research & Innovation
dc.date.issued2015-01-01
dc.descriptionPublisher Copyright: © 2014 Elsevier B.V. All rights reserved.
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.sponsorshipWe would like to thank Iñigo Arizaga, Aritz Sánchez, and Roberto González for their support in the development of the PDPD and maintenance of the system. This work has been supported by the European Project SAIL (Grant No. 257448 ).
dc.description.statusPeer reviewed
dc.format.extent12
dc.identifier.citationCabero , J M , Urteaga , I , Molina , V , Liberal , F & Martín , J L 2015 , ' Reliability of Bluetooth-based connectivity traces for the characterization of human interaction ' , Ad Hoc Networks , vol. 24 , no. PA , pp. 135-146 . https://doi.org/10.1016/j.adhoc.2014.08.010
dc.identifier.doi10.1016/j.adhoc.2014.08.010
dc.identifier.issn1570-8705
dc.identifier.otherresearchoutputwizard: 11556/256
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=84908102024&partnerID=8YFLogxK
dc.language.isoeng
dc.relation.ispartofAd Hoc Networks
dc.relation.projectIDEuropean Project SAIL
dc.relation.projectIDSeventh Framework Programme, FP7, 257448
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subject.keywordsBluetooth
dc.subject.keywordsConnectivity traces
dc.subject.keywordsContact times
dc.subject.keywordsHuman interaction
dc.subject.keywordsInter-contact times
dc.subject.keywordsReal database
dc.subject.keywordsBluetooth
dc.subject.keywordsConnectivity traces
dc.subject.keywordsHuman interaction
dc.subject.keywordsContact times
dc.subject.keywordsInter-contact times
dc.subject.keywordsReal database
dc.subject.keywordsSoftware
dc.subject.keywordsHardware and Architecture
dc.subject.keywordsComputer Networks and Communications
dc.subject.keywordsProject ID
dc.subject.keywordsinfo:eu-repo/grantAgreement/EC/FP7/257448/EU/SAIL: Scalable & Adaptive Internet soLutions/SAIL
dc.subject.keywordsinfo:eu-repo/grantAgreement/EC/FP7/257448/EU/SAIL: Scalable & Adaptive Internet soLutions/SAIL
dc.subject.keywordsFunding Info
dc.subject.keywordsFP7: European Project SAIL; grant number: 257448
dc.subject.keywordsFP7: European Project SAIL; grant number: 257448
dc.titleReliability of Bluetooth-based connectivity traces for the characterization of human interactionen
dc.typejournal article
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