This HTML5 document contains 30 embedded RDF statements represented using HTML+Microdata notation.

The embedded RDF content will be recognized by any processor of HTML5 Microdata.

Namespace Prefixes

PrefixIRI
dctermshttp://purl.org/dc/terms/
n2https://kar.kent.ac.uk/id/eprint/
wdrshttp://www.w3.org/2007/05/powder-s#
dchttp://purl.org/dc/elements/1.1/
n12http://purl.org/ontology/bibo/status/
rdfshttp://www.w3.org/2000/01/rdf-schema#
n8https://kar.kent.ac.uk/id/subject/
n10https://demo.openlinksw.com/about/id/entity/https/raw.githubusercontent.com/annajordanous/CO644Files/main/
n14https://kar.kent.ac.uk/73743/
n3http://eprints.org/ontology/
bibohttp://purl.org/ontology/bibo/
n7https://kar.kent.ac.uk/id/publication/
n21https://kar.kent.ac.uk/id/org/
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
n19doi:10.1016/
owlhttp://www.w3.org/2002/07/owl#
n4https://kar.kent.ac.uk/id/document/
n20https://kar.kent.ac.uk/id/
xsdhhttp://www.w3.org/2001/XMLSchema#
n16https://demo.openlinksw.com/about/id/entity/https/www.cs.kent.ac.uk/people/staff/akj22/materials/CO644/
n17https://kar.kent.ac.uk/id/person/
n11https://kar.kent.ac.uk/id/eprint/73743#

Statements

Subject Item
n2:73743
rdf:type
bibo:Article bibo:AcademicArticle n3:EPrint n3:ArticleEPrint
rdfs:seeAlso
n14:
owl:sameAs
n19:j.jisa.2019.05.001
n3:hasAccepted
n4:3175736
n3:hasDocument
n4:3175794 n4:3175795 n4:3175736 n4:3175796 n4:3175741 n4:3175793
dc:hasVersion
n4:3175736
dcterms:title
The Language of Biometrics: Analysing Public Perceptions
wdrs:describedby
n10:export_kar_RDFN3.n3 n16:export_kar_RDFN3.n3
dcterms:date
2019-05-08
dcterms:creator
n17:ext-847afddcb6f9a2d1e24628e2d73c83bf n17:ext-j.r.c.nurse@kent.ac.uk
bibo:status
n12:peerReviewed n12:published
dcterms:publisher
n21:ext-f308aad1ef8f70546c3a197f104f2ad5
bibo:abstract
There is an increasing shift in technology towards biometric solutions, but one of the biggest barriers to widespread use is the acceptance by the users. In this paper we investigate the understanding, awareness and acceptance of biometrics by the general public. The primary research method was a survey, which had 282 respondents, designed to gauge public opinion around biometrics. Additionally, qualitative data was captured in the form of the participants' definition of the term biometrics. We applied thematic analysis as well as an automated Word Vector analysis to this data to provide a deeper insight into the perceptions and understanding of the term. Our results demonstrate that while there is generally a reasonable level of understanding of what biometrics are, this is typically limited to the techniques that are most familiar to participants (e.g., fingerprints or facial recognition). Most notably individuals' awareness overlooks emerging areas such as behavioural biometrics (e.g., gait). This was also apparent when we compared participants' views to definitions provided by official, published sources (e.g., ISO, NIST, OED, DHS). Overall, this article provides unique insight into the perceptions and understanding of biometrics as well as areas where users may lack knowledge on biometric applications.
dcterms:isPartOf
n7:ext-2a9958c6b419cd9b0c84b455d5a24bc7 n20:repository
dcterms:subject
n8:H n8:QA
bibo:authorList
n11:authors
bibo:volume
47