Department of Computer Science and Engineering, School of Engineering Sciences and Technology, Jamia Hamdard, New Delhi 110062, India.
USN School of Business, University of South-Eastern Norway, 3511 Hønefoss, Norway.
Int J Environ Res Public Health. 2022 Dec 14;19(24):16777. doi: 10.3390/ijerph192416777.
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.
体臭是每个人独有的生物特征,可用于身份验证。然而,决策者必须了解用户对这项技术的接受程度,以及他们对系统功能和流程的看法。本研究提出并验证了一种基于体臭的生物识别技术的技术接受模型(TAM),名为 OdorTAM。我们使用 Google 表单以网络为基础、易于阅读的格式,开发了一份英语问卷。该调查共包含 19 个问题,收到了 150 份回复。对回复进行了统计分析,发现所有假设都得到了支持。因此,OdorTAM 模型似乎令人满意。为此,我们假设基于体臭的生物识别技术可以作为身份验证的一种替代方案,也可以与其他一些技术结合使用,以提高安全性。本研究为生物识别技术,特别是气味检测方面的文献做出了贡献,因为在现有的研究中,气味检测受到的关注相对较少。