Evaluation methodology for analyzing usability factors in biometrics

Fernandez-Saavedra, Belen; Alonso-Moreno, R.; Uriarte-Antonio, Jaime; Sánchez-Reillo, Raúl

doi:10.1109/maes.2010.5552609

Cited by 6 publications

(4 citation statements)

References 3 publications

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“…Research in the area of usability evaluation has been led by National Institute of Standards and Technology (NIST), who have contributed significantly to studying the assessment of usability in biometric systems [9] [16] have investigated the influence of usability factors that affect biometric performance and user experience. This research demonstrates that while there are many parameters to consider throughout usability evaluations, these conditions may affect the user presentation at an interaction level.…”

Section: Interaction Aspectsmentioning

confidence: 99%

A Framework for Biometric and Interaction Performance Assessment of Automated Border Control Processes

Robertson

Guest

Elliott

et al. 2017

IEEE Trans. Human-Mach. Syst.

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Abstract-Automated Border Control (ABC) in airports and land crossings utilise automated technology to verify passenger identity claims. Accuracy, interaction stability, user error and the need for a harmonised approach to implementation is 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 standardisation 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 is used to analyse behaviours, which aid in establishing what effect these have on system performance. Utilising the proposed method will aid already established methods in improving the performance assessment of a system. Through analysing 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 categorise interaction errors and feedback appropriately.

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Section: Interaction Aspectsmentioning

confidence: 99%

A Framework for Biometric and Interaction Performance Assessment of Automated Border Control Processes

Robertson

Guest

Elliott

et al. 2017

IEEE Trans. Human-Mach. Syst.

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“…One solution to this fraud problem is to add another level of security at the ATM by including biometric technology. There are a number of different biometric technologies that can be employed on ATMs, and it is known that usability and user experience issues can affect biometric technology performance (Fernandez-Saavedra, 2010), and that user acceptance could affect the performance and the success of implementation. The relationship between these factors has been found to be complex (Fernandez-Saavedra, 2010;Riley et al, 2007), but it is argued (Coventry, 2004) that the user experience aspect is central to the successful deployment of biometric technologies.…”

Section: Introductionmentioning

confidence: 99%

“…There are a number of different biometric technologies that can be employed on ATMs, and it is known that usability and user experience issues can affect biometric technology performance (Fernandez-Saavedra, 2010), and that user acceptance could affect the performance and the success of implementation. The relationship between these factors has been found to be complex (Fernandez-Saavedra, 2010;Riley et al, 2007), but it is argued (Coventry, 2004) that the user experience aspect is central to the successful deployment of biometric technologies. The goal of the research presented here was to compare and contrast customer attitudes to usability in deployment of fingerprint and palmvein technologies on ATMs, and to contribute to the better understanding of the issues surrounding the implementation of biometrics from a user experience perspective -the importance of considering the end user of a biometric system has been stressed by earlier research (Ashbourn 2000;Chandra & Calderon, 2005;Langenderfer & Linnhoff, 2005).…”

Section: Introductionmentioning

confidence: 99%

Usability Study of Fingerprint and Palmvein Biometric Technologies at the ATM

Peevers

Williams²,

Douglas

et al. 2013

International Journal of Technology and Human Interaction

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The usability of four biometric ATM designs were assessed in comparison to an existing ATM. Participants (N=46) were observed using two biometric technologies (palmvein and fingerprint) at two positions (horizontal and vertical) on the ATM in a repeated measures design. Measures included a usability attitude questionnaire, a quality metric and data from interviews and observation. Usability scores for the ATMs with biometric sensors were comparable to scores for the existing ATM even though they added an extra step to the typical ATM process. No differences were found in usability scores between palmvein and fingerprint sensors on the ATMs, or for the different positions. The quality results were more emphatic with a definite preference for horizontal positioning of sensors on the ATM, which corresponded with observations and participant comments. The horizontally-mounted fingerprint sensor was rated significantly higher in comparison to the existing ATM. Participant preference also favoured the fingerprint sensor over the palmvein sensor. It is argued that the quality metric results picked up on issues of security, whereas the usability results did not. There was a clear divide in the rankings of the existing ATM with equal scores ranking it first and last. Nearly 20% of the participants said they would not register to use biometric technologies. It is not clear how much of this is due to usability issues or underlying negative attitudes towards biometrics. Observations and comments from the participants point to the importance of improving user feedback in future designs.

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“…It is remarkable the works carried out by Prof. Elliot [1] [2] and his team, who has also defined a framework to study the human interaction with biometric devices [3]. More specifically related to how usability can affect error rates, authors have already presented some results in [4].…”

Section: Introductionmentioning

confidence: 99%

Usability Evaluation of Fingerprint Based Access Control Systems

Fernandez-Saavedra

Alonso-Moreno

Mendaza-Ormaza

et al. 2010

2010 Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing

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Studying usability of biometric products is of great interest for learning in advance how users will behave once the system is installed. This paper presents the work carried out for the evaluation of the usability of five access control systems based on fingerprint recognition. Users are grouped by ages, and a homogeneous representation of ages and sex are considered. Results will show how different devices can present different results considering usability, and conclusions will provide the lessons learned as to be applied in following evaluations.

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Evaluation methodology for analyzing usability factors in biometrics

Cited by 6 publications

References 3 publications

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

Usability Study of Fingerprint and Palmvein Biometric Technologies at the ATM

Usability Evaluation of Fingerprint Based Access Control Systems

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