An assessment of the usability of biometric signature systems using the human-biometric sensor interaction model
An assessment of the usability of biometric signature systems using the human-biometric sensor interaction model
Signature biometrics is a widely used form of user authentication. As a behavioural biometric, samples have inherent inconsistencies which must be accounted for within an automated system. Performance deterioration of a tuned biometric software system may be caused by an interaction error with a biometric capture device, however, using conventional error metrics, system and user interaction errors are combined, thereby masking the contribution by each element. In this paper we explore the application of the Human-Biometric Sensor Interaction (HBSI) model to signature as an exemplar of a behavioural biometric. Using observational data collected from a range of subjects, our study shows that usability issues can be identified specific to individual capture device technologies. While most interactions are successful, a range of common interaction errors need to be mitigated by design to reduce overall error rates.
336-347
Guest, Richard
93533dbd-b101-491b-83cc-39ccfdc18165
Brockly, Michael
cdd4bf94-eb75-4ffa-82db-1736992fc34c
Elliott, Stephen
721dc55c-8c3e-4895-b9c4-82f62abd3567
Scott, James
38da9dc5-ce87-4dc9-96c9-14af6592c2fb
Guest, Richard
93533dbd-b101-491b-83cc-39ccfdc18165
Brockly, Michael
cdd4bf94-eb75-4ffa-82db-1736992fc34c
Elliott, Stephen
721dc55c-8c3e-4895-b9c4-82f62abd3567
Scott, James
38da9dc5-ce87-4dc9-96c9-14af6592c2fb
Guest, Richard, Brockly, Michael, Elliott, Stephen and Scott, James
(2016)
An assessment of the usability of biometric signature systems using the human-biometric sensor interaction model.
International Journal of Computer Applications in Technology, 53 (4), .
(doi:10.1504/IJCAT.2016.076810).
Abstract
Signature biometrics is a widely used form of user authentication. As a behavioural biometric, samples have inherent inconsistencies which must be accounted for within an automated system. Performance deterioration of a tuned biometric software system may be caused by an interaction error with a biometric capture device, however, using conventional error metrics, system and user interaction errors are combined, thereby masking the contribution by each element. In this paper we explore the application of the Human-Biometric Sensor Interaction (HBSI) model to signature as an exemplar of a behavioural biometric. Using observational data collected from a range of subjects, our study shows that usability issues can be identified specific to individual capture device technologies. While most interactions are successful, a range of common interaction errors need to be mitigated by design to reduce overall error rates.
This record has no associated files available for download.
More information
e-pub ahead of print date: 5 June 2016
Identifiers
Local EPrints ID: 489467
URI: http://eprints.soton.ac.uk/id/eprint/489467
PURE UUID: ba0b26c6-177c-4b64-9df8-47195a8020a3
Catalogue record
Date deposited: 25 Apr 2024 16:30
Last modified: 28 Apr 2024 02:05
Export record
Altmetrics
Contributors
Author:
Richard Guest
Author:
Michael Brockly
Author:
James Scott
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics