RT Journal Article
T1 Reliability of Bluetooth-based connectivity traces for the characterization of human interaction
A1 Cabero, José María
A1 Urteaga, Iñigo
A1 Molina, Virginia
A1 Liberal, Fidel
A1 Martín, José Luis
AB The 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.
SN 1570-8705
YR 2015
FD 2015-01-01
LA eng
NO Cabero , 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
NO Publisher Copyright: © 2014 Elsevier B.V. All rights reserved.
NO We 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 ).
DS TECNALIA Publications
RD 4 jul 2024