On the Usability of Next-Generation Authentication: A Study on Eye Movement and Brainwave-based Mechanisms
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arXiv
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| Format: | Preprint |
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2024
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| _version_ | 1866915271691730944 |
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| author | Fallahi, Matin Cabarcos, Patricia Arias Strufe, Thorsten |
| author_facet | Fallahi, Matin Cabarcos, Patricia Arias Strufe, Thorsten |
| contents | Passwords remain a widely-used authentication mechanism, despite their well-known security and usability limitations. To improve on this situation, next-generation authentication mechanisms, based on behavioral biometric factors such as eye movement and brainwave have emerged. However, their usability remains relatively under-explored. To fill this gap, we conducted an empirical user study (n=32 participants) to evaluate three brain-based and three eye-based authentication mechanisms, using both qualitative and quantitative methods. Our findings show good overall usability according to the System Usability Scale for both categories of mechanisms, with average SUS scores in the range of 78.6-79.6 and the best mechanisms rated with an "excellent" score. Participants particularly identified brainwave authentication as more secure yet more privacy-invasive and effort-intensive compared to eye movement authentication. However, the significant number of neutral responses indicates participants' need for more detailed information about the security and privacy implications of these authentication methods. Building on the collected evidence, we identify three key areas for improvement: privacy, authentication interface design, and verification time. We offer recommendations for designers and developers to improve the usability and security of next-generation authentication mechanisms. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2402_15388 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | On the Usability of Next-Generation Authentication: A Study on Eye Movement and Brainwave-based Mechanisms Fallahi, Matin Cabarcos, Patricia Arias Strufe, Thorsten Cryptography and Security Human-Computer Interaction Passwords remain a widely-used authentication mechanism, despite their well-known security and usability limitations. To improve on this situation, next-generation authentication mechanisms, based on behavioral biometric factors such as eye movement and brainwave have emerged. However, their usability remains relatively under-explored. To fill this gap, we conducted an empirical user study (n=32 participants) to evaluate three brain-based and three eye-based authentication mechanisms, using both qualitative and quantitative methods. Our findings show good overall usability according to the System Usability Scale for both categories of mechanisms, with average SUS scores in the range of 78.6-79.6 and the best mechanisms rated with an "excellent" score. Participants particularly identified brainwave authentication as more secure yet more privacy-invasive and effort-intensive compared to eye movement authentication. However, the significant number of neutral responses indicates participants' need for more detailed information about the security and privacy implications of these authentication methods. Building on the collected evidence, we identify three key areas for improvement: privacy, authentication interface design, and verification time. We offer recommendations for designers and developers to improve the usability and security of next-generation authentication mechanisms. |
| title | On the Usability of Next-Generation Authentication: A Study on Eye Movement and Brainwave-based Mechanisms |
| topic | Cryptography and Security Human-Computer Interaction |
| url | https://arxiv.org/abs/2402.15388 |