Public Perceptions of Biometric Devices: The Effect of Misinformation on Acceptance and Use

Moody, Janette

doi:10.28945/775

Cited by 27 publications

(27 citation statements)

References 1 publication

(2 reference statements)

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“…It was designed to collect demographic, experiential and attitudinal characteristics that might have an impact on or a relationship to respondents' views on the use of biometrics. The survey takes into account other works in the field done by NIST [13], NCR [25], ORC [14], Atos origin [26] and other works presented in [27], [20], [19], [21]. It also noted unsolicited questions that we found it valuable when collecting the GREYC-Keystroke database [28].…”

Section: A Data Collectionmentioning

confidence: 99%

“…• Other studies presented in [15], [16], [17], [18], [19], [20], [21], [22], [23], [24] have highlighted several points about biometrics such as: -acceptance is linked to the number of uses of the biometrics in general and information provided by the biometric device can also improve user acceptance; -there is a potential concern about the misuse of personal data (i.e., templates) which is seen as violating users' privacy and civil liberties. Another important concern is the probability that criminals may perpetrate heinous acts to gain access.…”

Section: Introductionmentioning

confidence: 99%

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A study of users' acceptance and satisfaction of biometric systems

El-Abed

Giot

Hemery

et al. 2010

44th Annual 2010 IEEE International Carnahan Conference on Security Technology

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International audienceBiometric authentication methods are being increasingly used for many types of applications. Since such methods necessitate humans to interact with a device, effective implementation requires consideration of the perceptions and responses of end users. Towards this goal, we present in this paper a modalityindependent evaluation methodology to study users' acceptance and satisfaction of biometric systems. It is based on the use of a questionnaire and some data mining tools for the analysis. We have applied it on two biometric systems developed in our research laboratory. The results from this study demonstrated that users' satisfaction analysis should be more taken into account when developing biometric systems. A significant panel of 70 users was more satisfied from the keystroke system than the other one. Users surprisingly considered that its perceived performance was also better even if the used face system has a better performance with an EER of 8.76% than the keystroke one with an EER of 17.51%. The robustness of a system against attacks and its perceived trust have been identified as important factors to take into account when designing biometric systems. Results have also demonstrated significant relationships between demographic factors and their perception about the biometric technology and the studied systems

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Section: A Data Collectionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A study of users' acceptance and satisfaction of biometric systems

El-Abed

Giot

Hemery

et al. 2010

44th Annual 2010 IEEE International Carnahan Conference on Security Technology

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“…• Other studies presented in [41][42][43][44][45][46][47][48] have highlighted several points about biometric systems such as:…”

Section: Platformsmentioning

confidence: 99%

Evaluation of Biometric Systems

El-Abed¹,

Giot²,

Rosenberger³

2012

New Trends and Developments in Biometrics

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International audienceBiometrics is considered as a promising solution among traditional methods based on "what we own" (such as a key) or "what we know" (such as a password). It is based on "what we are" and "how we behave". Few people know that biometrics have been used for ages for identification or signature purposes. In 1928 for example, fingerprints were used for women clerical employees of Los Angeles police department as depicted in Figure 1. Fingerprints were also already used as a signature for commercial exchanges in Babylon (-3000 before JC). Alphonse Bertillon proposed in 1879 to use anthropometric information for police investigation. Nowadays, all police forces in the world use this kind of information to resolve crimes. The first prototypes of terminals providing an automatic processing of the voice and digital fingerprints have been defined in the middle of the years 1970. Nowadays, biometric authentication systems have many applications [1]: border control, e-commerce, etc. The main benefits of this technology are to provide a better security, and to facilitate the authentication process for a user. Also, it is usually difficult to copy the biometric characteristics of an individual than most of other authentication methods such as passwords. Despite the obvious advantages of biometric systems, their proliferation was not as much as attended. The main drawback is the uncertainty of the verification result. By contrast to password checking, the verification of biometric raw data is subject to errors and represented by a similarity percentage (100% is never reached). Others drawbacks related to vulnerabilities and usability issues exist. In addition, in order to be used in an industrial context, the quality of a biometric system must be precisely quantified. We need a reliable evaluation methodology in order to put into obviousness the benefit of a new biometric system. Moreover, many questions remain: Shall we be confident in this technology? What kind of biometric modalities can be used? What are the trends in this domain? The objective of this chapter is to answer these questions, by presenting an evaluation methodology of biometric systems

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“…• Other studies presented in Deane et al (1995), Coventry et al (2003), Moody (2004), Jones et al (2007), Elliott et al (2007), Pons and Polak (2008), Giot et al (2009b), Uzoka andNdzinge (2009) andEl Abed et al (2010) have highlighted several points about biometrics such as:…”

Section: Introductionmentioning

confidence: 99%

Evaluation of biometric systems: a study of users' acceptance and satisfaction

El-Abed¹,

Giot²,

Hemery³

et al. 2012

IJBM

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This paper presents a modality-independent evaluation methodology to study users' acceptance and satisfaction of biometric systems. It uses a survey questionnaire for data collection, and some data-mining tools for their analysis. We have applied it on two biometric systems developed in our research laboratory. The results from this survey show the necessity of taking users' point of view when designing and evaluating biometric systems. A panel of 100 volunteers was more satisfied from the keystroke system than the face one. Users surprisingly considered that its perceived performance was also better, even if the used face system has a better performance with an EER of 8.76% than the keystroke one with an EER of 17.51%. The robustness of a system against attacks, computation time required during the verification phase and its easiness to use have been identified as important factors influencing their opinions regarding the tested systems.

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Public Perceptions of Biometric Devices: The Effect of Misinformation on Acceptance and Use

Cited by 27 publications

References 1 publication

A study of users' acceptance and satisfaction of biometric systems

A study of users' acceptance and satisfaction of biometric systems

Evaluation of Biometric Systems

Evaluation of biometric systems: a study of users' acceptance and satisfaction

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