A framework for biometric and interaction performance assessment of automated border control processes
A framework for biometric and interaction performance assessment of automated border control processes
Automated Border Control (ABC) in airports and land crossings utilize automated technology to verify passenger identity claims. Accuracy, interaction stability, user error, and the need for a harmonized approach to implementation are required. Two models proposed in this paper establish a global path through ABC processes. The first, the generic model, maps separately the enrolment and verification phases of an ABC scenario. This allows a standardization of the process and an exploration of variances and similarities between configurations across implementations. The second, the identity claim process, decomposes the verification phase of the generic model to an enhanced resolution of ABC implementations. Harnessing a human-biometric sensor interaction framework allows the identification and quantification of errors within the system's use, attributing these errors to either system performance or human interaction. Data from a live operational scenario are used to analyze behaviors, which aid in establishing what effect these have on system performance. Utilizing the proposed method will aid already established methods in improving the performance assessment of a system. Through analyzing interactions and possible behavioral scenarios from the live trial, it was observed that 30.96% of interactions included some major user error. Future development using our proposed framework will see technological advances for biometric systems that are able to categorize interaction errors and feedback appropriately.
Biometrics (access control), Body sensor networks, System performance, Process control, Performance evaluation, Biomedical monitoring
983-993
Robertson, Joshua J.
56e2ff17-c9e2-41d6-a320-eec05dfb1c11
Guest, Richard M.
93533dbd-b101-491b-83cc-39ccfdc18165
Elliott, Stephen J.
721dc55c-8c3e-4895-b9c4-82f62abd3567
OConnor, Kevin
b74c1fca-91ae-49db-9e6d-634a45da7d19
19 October 2016
Robertson, Joshua J.
56e2ff17-c9e2-41d6-a320-eec05dfb1c11
Guest, Richard M.
93533dbd-b101-491b-83cc-39ccfdc18165
Elliott, Stephen J.
721dc55c-8c3e-4895-b9c4-82f62abd3567
OConnor, Kevin
b74c1fca-91ae-49db-9e6d-634a45da7d19
Robertson, Joshua J., Guest, Richard M., Elliott, Stephen J. and OConnor, Kevin
(2016)
A framework for biometric and interaction performance assessment of automated border control processes.
IEEE Transactions on Human-Machine Systems, 47 (6), .
(doi:10.1109/THMS.2016.2611822).
Abstract
Automated Border Control (ABC) in airports and land crossings utilize automated technology to verify passenger identity claims. Accuracy, interaction stability, user error, and the need for a harmonized approach to implementation are required. Two models proposed in this paper establish a global path through ABC processes. The first, the generic model, maps separately the enrolment and verification phases of an ABC scenario. This allows a standardization of the process and an exploration of variances and similarities between configurations across implementations. The second, the identity claim process, decomposes the verification phase of the generic model to an enhanced resolution of ABC implementations. Harnessing a human-biometric sensor interaction framework allows the identification and quantification of errors within the system's use, attributing these errors to either system performance or human interaction. Data from a live operational scenario are used to analyze behaviors, which aid in establishing what effect these have on system performance. Utilizing the proposed method will aid already established methods in improving the performance assessment of a system. Through analyzing interactions and possible behavioral scenarios from the live trial, it was observed that 30.96% of interactions included some major user error. Future development using our proposed framework will see technological advances for biometric systems that are able to categorize interaction errors and feedback appropriately.
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Published date: 19 October 2016
Keywords:
Biometrics (access control), Body sensor networks, System performance, Process control, Performance evaluation, Biomedical monitoring
Identifiers
Local EPrints ID: 489483
URI: http://eprints.soton.ac.uk/id/eprint/489483
ISSN: 2168-2291
PURE UUID: ac99d44c-aa53-44b0-8706-8049ada37a24
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Date deposited: 25 Apr 2024 16:32
Last modified: 28 Apr 2024 02:05
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Author:
Joshua J. Robertson
Author:
Richard M. Guest
Author:
Kevin OConnor
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