The validity of RFID badges measuring face-to-face interactions.

RFID Social interaction Social network Social sensor Validity

Journal

Behavior research methods
ISSN: 1554-3528
Titre abrégé: Behav Res Methods
Pays: United States
ID NLM: 101244316

Informations de publication

Date de publication:
10 2019
Historique:
pubmed: 19 4 2019
medline: 28 1 2020
entrez: 19 4 2019
Statut: ppublish

Résumé

Face-to-face interactions are important for a variety of individual behaviors and outcomes. In recent years, a number of human sensor technologies have been proposed to incorporate direct observations in behavioral studies of face-to-face interactions. One of the most promising emerging technologies is the application of active Radio Frequency Identification (RFID) badges. They are increasingly applied in behavioral studies because of their low costs, straightforward applicability, and moderate ethical concerns. However, despite the attention that RFID badges have recently received, there is a lack of systematic tests on how valid RFID badges are in measuring face-to-face interactions. With two studies, we aim to fill this gap. Study 1 (N = 11) compares how data assessed with RFID badges correspond with video data of the same interactions (construct validity) and how this fit can be improved using straightforward data processing strategies. The analyses show that the RFID badges have a sensitivity of 50%, which can be enhanced to 65% when flickering signals with gaps of less than 75 s are interpolated. The specificity is relatively less affected by this interpolation process (before interpolation 97%, after interpolation 94.7%)-resulting in an improved accuracy of the measurement. In Study 2 (N = 73) we show that self-report data of social interactions correspond highly with data gathered with the RFID badges (criterion validity).

Identifiants

pubmed: 30997659
doi: 10.3758/s13428-018-1180-y
pii: 10.3758/s13428-018-1180-y
pmc: PMC6797650
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2120-2138

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Auteurs

Timon Elmer (T)

Department of Humanities, Social and Political Sciences, ETH Zürich, Weinbergstrasse 109, 8092, Zurich, Switzerland. timon.elmer@gess.ethz.ch.

Krishna Chaitanya (K)

Department of Electrical Engineering and Information Technology, ETH Zürich, Sternwartstrasse 7, Zurich, 8092, Switzerland.

Prateek Purwar (P)

Department of Humanities, Social and Political Sciences, ETH Zürich, Weinbergstrasse 109, 8092, Zurich, Switzerland.

Christoph Stadtfeld (C)

Department of Humanities, Social and Political Sciences, ETH Zürich, Weinbergstrasse 109, 8092, Zurich, Switzerland.

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Classifications MeSH