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A framework for biometric and interaction performance assessment of automated border control processes

Research output: Contribution to journalArticlepeer-review

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A framework for biometric and interaction performance assessment of automated border control processes. / Robertson, Joshua James; Guest, Richard M.; Elliot, Stephen J.; O'Connor, Kevin.

In: IEEE Transactions on Human-Machine Systems, Vol. 47, No. 6, 12.2017, p. 983-993.

Research output: Contribution to journalArticlepeer-review

Harvard

Robertson, JJ, Guest, RM, Elliot, SJ & O'Connor, K 2017, 'A framework for biometric and interaction performance assessment of automated border control processes', IEEE Transactions on Human-Machine Systems, vol. 47, no. 6, pp. 983-993. https://doi.org/10.1109/THMS.2016.2611822

APA

Robertson, J. J., Guest, R. M., Elliot, S. J., & O'Connor, K. (2017). A framework for biometric and interaction performance assessment of automated border control processes. IEEE Transactions on Human-Machine Systems, 47(6), 983-993. https://doi.org/10.1109/THMS.2016.2611822

Vancouver

Robertson JJ, Guest RM, Elliot SJ, O'Connor K. A framework for biometric and interaction performance assessment of automated border control processes. IEEE Transactions on Human-Machine Systems. 2017 Dec;47(6):983-993. https://doi.org/10.1109/THMS.2016.2611822

Author

Robertson, Joshua James ; Guest, Richard M. ; Elliot, Stephen J. ; O'Connor, Kevin. / A framework for biometric and interaction performance assessment of automated border control processes. In: IEEE Transactions on Human-Machine Systems. 2017 ; Vol. 47, No. 6. pp. 983-993.

Bibtex

@article{a7bfe151a447482595add29fc7bd233a,
title = "A framework for biometric and interaction performance assessment of automated border control processes",
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 behavioural 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.",
author = "Robertson, {Joshua James} and Guest, {Richard M.} and Elliot, {Stephen J.} and Kevin O'Connor",
year = "2017",
month = dec,
doi = "10.1109/THMS.2016.2611822",
language = "English",
volume = "47",
pages = "983--993",
journal = " IEEE Transactions on Human-Machine Systems",
issn = "2168-2291",
publisher = "IEEE Systems, Man, and Cybernetics Society",
number = "6",

}

RIS

TY - JOUR

T1 - A framework for biometric and interaction performance assessment of automated border control processes

AU - Robertson, Joshua James

AU - Guest, Richard M.

AU - Elliot, Stephen J.

AU - O'Connor, Kevin

PY - 2017/12

Y1 - 2017/12

N2 - 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 behavioural 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.

AB - 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 behavioural 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.

U2 - 10.1109/THMS.2016.2611822

DO - 10.1109/THMS.2016.2611822

M3 - Article

VL - 47

SP - 983

EP - 993

JO - IEEE Transactions on Human-Machine Systems

JF - IEEE Transactions on Human-Machine Systems

SN - 2168-2291

IS - 6

ER -

ID: 14865926