Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-642-01793-3_84
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dc.titleAn usability study of continuous biometrics authentication
dc.contributor.authorKwang, G.
dc.contributor.authorYap, R.H.C.
dc.contributor.authorSim, T.
dc.contributor.authorRamnath, R.
dc.date.accessioned2013-07-23T09:32:00Z
dc.date.available2013-07-23T09:32:00Z
dc.date.issued2009
dc.identifier.citationKwang, G.,Yap, R.H.C.,Sim, T.,Ramnath, R. (2009). An usability study of continuous biometrics authentication. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 5558 LNCS : 828-837. ScholarBank@NUS Repository. <a href="https://doi.org/10.1007/978-3-642-01793-3_84" target="_blank">https://doi.org/10.1007/978-3-642-01793-3_84</a>
dc.identifier.isbn3642017924
dc.identifier.issn03029743
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/43362
dc.description.abstractWe present an usability study for a bi-modality Continuous Biometrics Authentication System (CBAS) that runs on the Windows platform. Our CBAS combines fingerprint and facial biometrics to authenticate users. As authentication is continuous, CBAS constantly contributes a computational overhead of up to 42% to the computer system. This usability study seeks to investigate (a) whether this overhead will have an impact on the performance of users to complete tasks; and (b) whether the users deem the responsiveness of the system to be acceptable. The results of our study are encouraging, indicating that the runtime cost of a CBAS system has no measurable statistical impact on the task completion by users. We found that user acceptance of CBAS to be good and they did not perceive the CBAS to degrade system response. This suggests that continuous biometrics for authentication is viable - the CBAS benefits outweighs system impact drawbacks. © Springer-Verlag Berlin Heidelberg 2009.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1007/978-3-642-01793-3_84
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentTEMASEK LABORATORIES
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.doi10.1007/978-3-642-01793-3_84
dc.description.sourcetitleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.description.volume5558 LNCS
dc.description.page828-837
dc.identifier.isiutNOT_IN_WOS
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