Understanding Authentication Method Use on Mobile Devices by People with Vision Impairment
Why this work is in the frame
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Bibliographic record
Abstract
Passwords help people avoid unauthorized access to their personal devices but are not without challenges, like memorability and shoulder surfing attacks. Little is known about how people with vision impairment assure their digital security in mobile contexts. We conducted an online survey to understand their strategies to remember passwords, their perceptions of authentication methods and their self-assessed ability to keep their digital information safe. We collected answers from 325 people who are blind or have low vision from 12 countries and found: most use familiar names and numbers to create memorable passwords, the majority consider fingerprint to be the most secure and accessible user authentication method and PINs the least secure user authentication method. This paper presents our survey results and provides insights for designing better authentication methods for people with vision impairment.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it