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OdorTAM: Technology Acceptance Model for Biometric Authentication System Using Human Body Odor
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 mo...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9779205/ https://www.ncbi.nlm.nih.gov/pubmed/36554657 http://dx.doi.org/10.3390/ijerph192416777 |
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author | Naaz, Sameena Khan, Sarah Ali Siddiqui, Farheen Sohail, Shahab Saquib Madsen, Dag Øivind Ahmad, Asad |
author_facet | Naaz, Sameena Khan, Sarah Ali Siddiqui, Farheen Sohail, Shahab Saquib Madsen, Dag Øivind Ahmad, Asad |
author_sort | Naaz, Sameena |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9779205 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-97792052022-12-23 OdorTAM: Technology Acceptance Model for Biometric Authentication System Using Human Body Odor Naaz, Sameena Khan, Sarah Ali Siddiqui, Farheen Sohail, Shahab Saquib Madsen, Dag Øivind Ahmad, Asad Int J Environ Res Public Health Article 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. MDPI 2022-12-14 /pmc/articles/PMC9779205/ /pubmed/36554657 http://dx.doi.org/10.3390/ijerph192416777 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Naaz, Sameena Khan, Sarah Ali Siddiqui, Farheen Sohail, Shahab Saquib Madsen, Dag Øivind Ahmad, Asad OdorTAM: Technology Acceptance Model for Biometric Authentication System Using Human Body Odor |
title | OdorTAM: Technology Acceptance Model for Biometric Authentication System Using Human Body Odor |
title_full | OdorTAM: Technology Acceptance Model for Biometric Authentication System Using Human Body Odor |
title_fullStr | OdorTAM: Technology Acceptance Model for Biometric Authentication System Using Human Body Odor |
title_full_unstemmed | OdorTAM: Technology Acceptance Model for Biometric Authentication System Using Human Body Odor |
title_short | OdorTAM: Technology Acceptance Model for Biometric Authentication System Using Human Body Odor |
title_sort | odortam: technology acceptance model for biometric authentication system using human body odor |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9779205/ https://www.ncbi.nlm.nih.gov/pubmed/36554657 http://dx.doi.org/10.3390/ijerph192416777 |
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