An assessment model for the use of biometrics

Grijpink, J.H.A.M.

doi:10.1016/j.clsr.2006.03.007

Cited by 8 publications

(5 citation statements)

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“…Using one's face as a payment MORIUCHI | 1743 method extends the complexity of security and risk as it is more than just identification. Furthermore, Grijpink (2006) argued that there is no biometric system that offers complete security. Thus, biometric systems have the potential to serve as a threat or benefit toward privacy and security, which leads to potential privacy risks or protection.…”

Section: Utautmentioning

confidence: 99%

An empirical study of consumers' intention to use biometric facial recognition as a payment method

Moriuchi

2021

Psychology and Marketing

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Interests in technology innovation has increased in many organizations. Collaborations among technology providers and marketers are occurring as they integrate these biometric technologies as a means of convenience and security for their consumers. Despite the benefits of integrating new technology to ease consumers' shopping experience, consumers are skeptical about using technology that requires their biometric data. Two studies were conducted to investigate the trust toward these biometric payment systems. Study 1 was conducted through a survey. The study investigated antecedents that affect consumers' trust of, attitude toward, and usage of a biometric payment system. Based on the results from Study 1, Study 2 was conducted by introducing two shopping modalities in the study. The results show that consumers would rather use a biometric payment system in stores than online. Between the two modalities, consumers' trust and attitude toward the technology have a stronger mediating role for online than in‐store toward their intention to use. In addition, self‐efficacy consistently moderates the antecedents (performance expectation and perceived risk) and their intention to use.

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Section: Utautmentioning

confidence: 99%

An empirical study of consumers' intention to use biometric facial recognition as a payment method

Moriuchi

2021

Psychology and Marketing

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“…According to Uludag et al [82], the security issues regarding biometric implementations are much more complex than with any other IT system. Although no biometric system offers complete security [35], studies indicate that high-priced systems, such as iris scanners, are more effective and less likely to make false identifications than cheaper systems like signature dynamics [79]. As a range of technologies which identify the individual, either accurately or inaccurately, and with or without their knowledge and consent, biometric identification systems have potential to both enhance and threaten privacy and it is the security of the whole system which leads to potential privacy risks or protection.…”

Section: The Biometric Identification Systemsmentioning

confidence: 99%

Determinants of end-user acceptance of biometrics: Integrating the “Big 3” of technology acceptance with privacy context

Miltgen

Popovič

Oliveira

2013

Decision Support Systems

325

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International audienceThe information systems (IS) literature has long emphasized the importance of user acceptance of computer-based IS. Evaluating the determinants of acceptance of information technology (IT) is vital to address the problem of underutilization and leverage the benefits of IT investments, especially for more radical technologies. This study examines individual acceptance of biometric identification techniques in a voluntary environment, measuring the intention to accept and further recommend the technology resulting from a carefully selected set of variables. Drawing on elements of technology acceptance model (TAM), diffusion of innovations (DOI) and unified theory of acceptance and use of technology (UTAUT) along with the trust-privacy research field, we propose an integrated approach that is both theoretically and empirically grounded. By testing some of the most relevant and well-tested elements from previous models along with new antecedents to biometric system adoption, this study produces results which are both sturdy and innovative. We first confirm the influence of renowned technology acceptance variables such as compatibility, perceived usefulness, facilitating conditions on biometrics systems acceptance and further recommendation. Second, prior factors such as concern for privacy, trust in the technology, and innovativeness also prove to have an influence. Third, unless innovativeness, the most important drivers to explain biometrics acceptance and recommendation are not from the traditional adoption models (TAM, DOI, and UTAUT) but from the trust and privacy literature (trust in technology and perceived risk)

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“…The model is presented to avoid creating obstacles when new technology is applied to solving existing problems. It is not clear whether such a model could be usefully applied to a wider set of biometric-based deployments, apart from the biometric passport example that Grijpink (2006) has discussed briefly.…”

Section: Rest Of This Papermentioning

confidence: 96%

“…Schouten and Jacobs (2009) present an evaluation of the Netherlands' proposed implementation of a biometric passport, largely focusing on technical aspects of specific biometric technologies (such as face and fingerprint recognition) but also making reference to international agreements and standards (such as ICAO and the EU's ''Extended Access Control'') and discussing the privacy issue in terms of traditional security concepts such as confidentiality. Grijpink (2006) presents an assessment model for the use of biometrics which conceptualises new technology, biometrics in this case, as a spoiler if applied to a problem from an administrative perspective rather than an informant if applied from a judicial perspective. The model is presented to avoid creating obstacles when new technology is applied to solving existing problems.…”

Section: Rest Of This Papermentioning

confidence: 99%

Characteristic trade-offs in designing large-scale biometric-based identity management systems

Shaikh

Rabaiotti

2010

Journal of Network and Computer Applications

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An assessment model for the use of biometrics

Cited by 8 publications

References 0 publications

An empirical study of consumers' intention to use biometric facial recognition as a payment method

An empirical study of consumers' intention to use biometric facial recognition as a payment method

Determinants of end-user acceptance of biometrics: Integrating the “Big 3” of technology acceptance with privacy context

Characteristic trade-offs in designing large-scale biometric-based identity management systems

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