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Quarterly Journal of Emerging Technologies and Innovations

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Published

2023-04-05

Issue

Vol. 8 No. 2 (2023): QJETI-APRIL-JUNE

Section

Articles

How to Cite

Abdulkareem , A. M., & Gordon , A. (2023). Evaluating the Usability and User Acceptance of Biometric Authentication in Different Applications. Quarterly Journal of Emerging Technologies and Innovations, 8(2), 1–10. Retrieved from https://vectoral.org/index.php/QJETI/article/view/5

Evaluating the Usability and User Acceptance of Biometric Authentication in Different Applications

Ahmed Mahdi Abdulkareem

Saurashtra University, PhD Research Scholar

Anna Gordon

Bothfedd Research Society

Keywords: Biometric authentication, Usability, User acceptance, Security, Privacy

Abstract

This study investigates the usability and user acceptance of biometric authentication across different applications, including mobile devices and smartphones, access control systems, banking and financial applications, healthcare systems, and travel and border control. The research aims to identify the factors that influence user acceptance and the potential challenges faced in each domain. The findings reveal that biometric authentication in mobile devices and smartphones is widely accepted due to its convenience and speed. However, concerns related to false acceptance or rejection rates, sensor accuracy, and privacy issues can affect user acceptance. Similarly, in access control systems, fast and reliable biometric systems with seamless user experiences are more likely to be accepted. Challenges such as long verification times, high false rejection rates, and complex enrollment processes can impact user acceptance negatively. In banking and financial applications, user acceptance depends on the perceived security and privacy of biometric data. Trust in the system, a user-friendly interface, and clear instructions are crucial factors influencing user acceptance. Healthcare systems face unique challenges, including hygiene concerns, ease of use for elderly or disabled patients, and adherence to privacy and security regulations. User acceptance in healthcare settings is influenced by these factors, along with overall system reliability. In travel and border control, biometric authentication, particularly facial recognition, is gaining popularity for identity verification and immigration processes. User acceptance is influenced by factors such as accuracy, speed, and perceived effectiveness in enhancing security and reducing queues. Privacy concerns and data protection policies also play a role in shaping user acceptance.

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Submission Guidelines for the Journal of Quarterly Journal of Emerging Technologies and Innovations (QJETI) General Guidelines:

  1. Article Types: We accept a variety of article types including Original Research Articles, Review Papers, Short Reports, and Opinion Pieces.

  2. Language: Manuscripts must be written in English, and should be clear, concise, and free of jargon.

  3. Length: There is no strict word limit, but Original Research Articles should generally be between 4,000 and 10,000 words, including references.

  4. Formatting: Manuscripts should be submitted as a single Word or LaTeX document, formatted in double-spaced 12-point font.

  5. Abstract: An abstract of 250-300 words is required for all submissions, summarizing the key objectives, methods, findings, and implications of the research.

Manuscript Structure:

  • Title Page: Must include the title, author names, affiliations, and contact information for the corresponding author.

  • Introduction: Provide background, state the problem, and outline objectives.

  • Methods: Detail the methods and tools used in your research.

  • Results: Present the findings of your study.

  • Discussion: Interpret results, discuss their impact, and suggest future research directions.

  • Conclusion: Summarize the main points of the paper.

  • References: Citations should be formatted according to the IEEE/APA style.

Ethical Guidelines:

Authors must ensure that their research adheres to ethical standards and that informed consent has been obtained for any human or animal subjects involved.

Plagiarism:

The Journal of Computational Social Dynamics uses plagiarism detection software. Any manuscript found to include plagiarized content will be rejected.

Peer Review Process:

All submissions undergo a double-blind peer review process. Authors can expect initial feedback within six to eight weeks.

Submission Process:
  1. Prepare your manuscript according to the guidelines.
  2. Submit your manuscript through our online portal.
  3. After submission, you will receive a confirmation email with a manuscript ID for tracking purposes.
Revisions:

If revisions are requested, authors must resubmit the revised manuscript within the specified timeframe.

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For any questions or concerns, please contact the editorial office at editorial@vectoral.org. Thank you for considering QJETI as a venue for your research.

Published by Vectoral Publishing, the Quarterly Journal of Emerging Technologies and Innovations maintains high standards in peer-review and scientific inquiry. Authors who wish to submit manuscripts should adhere to the guidelines detailed on our website, www.vectoral.org/QJETI. Vectoral Publishing does not bear any responsibility for the accuracy of information or for any outcomes related to the use of the research published. For editorial correspondence and submissions, please reach out to editorial@vectoral.org.