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OdorTAM: Technology Acceptance Model for Biometric Authentication System Using Human Body Odor

Author

Listed:
  • Sameena Naaz

    (Department of Computer Science and Engineering, School of Engineering Sciences and Technology, Jamia Hamdard, New Delhi 110062, India)

  • Sarah Ali Khan

    (Department of Computer Science and Engineering, School of Engineering Sciences and Technology, Jamia Hamdard, New Delhi 110062, India)

  • Farheen Siddiqui

    (Department of Computer Science and Engineering, School of Engineering Sciences and Technology, Jamia Hamdard, New Delhi 110062, India)

  • Shahab Saquib Sohail

    (Department of Computer Science and Engineering, School of Engineering Sciences and Technology, Jamia Hamdard, New Delhi 110062, India)

  • Dag Øivind Madsen

    (USN School of Business, University of South-Eastern Norway, 3511 Hønefoss, Norway)

  • Asad Ahmad

    (Department of Management, School of Management and Business Studies, Jamia Hamdard, New Delhi 110062, India)

Abstract

Body odor is a biometric feature unique to each individual, and it can be used for authentication. However, decision makers must learn about the users’ level of acceptance of this technology, as well as their thoughts on the system’s features and procedures. In this study, a technology acceptance model (TAM) for body-odor-based biometric techniques named OdorTAM was proposed and validated. An English language questionnaire was developed in a web-based, easy-to-read format on Google Forms. The survey consisted of 19 questions, and 150 responses were received. Statistical analysis of the responses was carried out, and it was found that all the hypotheses were supported. Therefore, the OdorTAM model appears to be satisfactory. To this end, we posit that a body-odor-based biometric technique can be one of the alternatives for authentication, and it can also be used along with some other techniques for improved security. The study contributes to the literature on consumers’ understanding of biometric technologies, in particular odor detection, which has received relatively less attention in extant research.

Suggested Citation

  • Sameena Naaz & Sarah Ali Khan & Farheen Siddiqui & Shahab Saquib Sohail & Dag Øivind Madsen & Asad Ahmad, 2022. "OdorTAM: Technology Acceptance Model for Biometric Authentication System Using Human Body Odor," IJERPH, MDPI, vol. 19(24), pages 1-17, December.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:24:p:16777-:d:1002909
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    References listed on IDEAS

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    1. Hyun Byun & Weisheng Chiu & Jung-sup Bae, 2018. "Exploring the Adoption of Sports Brand Apps: An Application of the Modified Technology Acceptance Model," International Journal of Asian Business and Information Management (IJABIM), IGI Global, vol. 9(1), pages 52-65, January.
    2. Caroline Lancelot Miltgen & Ales Popovic & Tiago Oliveira, 2013. "Determinants of end-user acceptance of biometrics: Integrating the “Big 3” of technology acceptance with privacy context," Post-Print hal-01116141, HAL.
    3. Mauricio A. Ramírez-Moreno & Patricio Carrillo-Tijerina & Milton Osiel Candela-Leal & Myriam Alanis-Espinosa & Juan Carlos Tudón-Martínez & Armando Roman-Flores & Ricardo A. Ramírez-Mendoza & Jorge de, 2021. "Evaluation of a Fast Test Based on Biometric Signals to Assess Mental Fatigue at the Workplace—A Pilot Study," IJERPH, MDPI, vol. 18(22), pages 1-20, November.
    4. Evon M. Abu-Taieh & Issam AlHadid & Ra’ed Masa’deh & Rami S. Alkhawaldeh & Sufian Khwaldeh & Ala’aldin Alrowwad, 2022. "Factors Affecting the Use of Social Networks and Its Effect on Anxiety and Depression among Parents and Their Children: Predictors Using ML, SEM and Extended TAM," IJERPH, MDPI, vol. 19(21), pages 1-27, October.
    5. Qihui Xie, 2022. "The Factors Influencing Chinese University Teachers’ Intentions for Using the Micro-Lecture in the Post COVID-19 Era," IJERPH, MDPI, vol. 19(22), pages 1-20, November.
    6. Bo-Hyun Seong & Chang-Yu Hong, 2022. "When It Comes to Screen Golf and Baseball, What Do Participants Think?," IJERPH, MDPI, vol. 19(20), pages 1-15, October.
    7. Renata Walczak & Magdalena Kludacz-Alessandri & Liliana Hawrysz, 2022. "Use of Telemedicine Technology among General Practitioners during COVID-19: A Modified Technology Acceptance Model Study in Poland," IJERPH, MDPI, vol. 19(17), pages 1-18, September.
    8. Hyoyeon Ahn & Jihyun Ko, 2022. "The Effect of Olfactory Inhalation on KPGA Golfers’ Putting Performance, Postural Stability and Heart Rate," IJERPH, MDPI, vol. 19(19), pages 1-10, October.
    9. Itsuki Kageyama & Nobuki Hashiguchi & Jianfei Cao & Makoto Niwa & Yeongjoo Lim & Masanori Tsutsumi & Jiakan Yu & Shintaro Sengoku & Soichiro Okamoto & Seiji Hashimoto & Kota Kodama, 2022. "Determination of Waste Management Workers’ Physical and Psychological Load: A Cross-Sectional Study Using Biometric Data," IJERPH, MDPI, vol. 19(23), pages 1-23, November.
    10. D. Harrison McKnight & Vivek Choudhury & Charles Kacmar, 2002. "Developing and Validating Trust Measures for e-Commerce: An Integrative Typology," Information Systems Research, INFORMS, vol. 13(3), pages 334-359, September.
    11. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
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