Evaluating authentication options for mobile health applications in younger and older adults

dc.contributor.authorGrindrod, Kelly
dc.contributor.authorKhan, Hassan
dc.contributor.authorHengartner, Urs
dc.contributor.authorOng, Stephanie
dc.contributor.authorLogan, Alexander G.
dc.contributor.authorVogel, Daniel
dc.contributor.authorGeboyts, Robert
dc.contributor.authorYang, Jilan
dc.date.accessioned2026-05-14T19:55:29Z
dc.date.available2026-05-14T19:55:29Z
dc.date.issued2018-01-04
dc.description© 2018 Grindrod et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
dc.description.abstractObjective Apps promoting patient self-management may improve health outcomes. However, methods to secure stored information on mobile devices may adversely affect usability. We tested the reliability and usability of common user authentication techniques in younger and older adults. Methodology Usability testing was conducted in two age groups, 18 to 30 years and 50 years and older. After completing a demographic questionnaire, each participant tested four authentication options in random order: four-digit personal identification number (PIN), graphical password (GRAPHICAL), Android pattern-lock (PATTERN), and a swipe-style Android fingerprint scanner (FINGERPRINT). Participants rated each option using the Systems Usability Scale (SUS). Results A total of 59 older and 43 younger participants completed the study. Overall, PATTERN was the fastest option (3.44s), and PIN had the fewest errors per attempt (0.02). Participants were able to login using PIN, PATTERN, and GRAPHICAL at least 98% of the time. FINGERPRINT was the slowest (26.97s), had an average of 1.46 errors per attempt, and had a successful login rate of 85%. Overall, PIN and PATTERN had higher SUS scores than FINGERPRINT and GRAPHICAL. Compared to younger participants, older participants were also less likely to find PATTERN to be tiring, annoying or time consuming and less likely to consider PIN to be time consuming. Younger participants were more likely to rate GRAPHICAL as annoying, time consuming and tiring than older participants. Conclusions On mobile devices, PIN and pattern-lock outperformed graphical passwords and swipe-style fingerprints. All participants took longer to authenticate using the swipe-style fingerprint compared to other options. Older participants also took two to three seconds longer to authenticate using the PIN, pattern and graphical passwords though this did not appear to affect perceived usability.
dc.description.sponsorshipOffice of the Privacy Commissioner of Canada, unrestricted grant.
dc.identifier.urihttps://doi.org/10.1371/journal.pone.0189048
dc.identifier.urihttps://hdl.handle.net/10012/23328
dc.language.isoen
dc.publisherPublic Library of Science
dc.relation.ispartofseriesPLoS ONE; 13(1); e0189048
dc.rightsAttribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectapps
dc.subjectelderly
dc.subjectdactyloscopy
dc.subjectcell phones
dc.subjectage groups
dc.subjectface recognition
dc.subjectbiometrics
dc.subjectnational security
dc.titleEvaluating authentication options for mobile health applications in younger and older adults
dc.typeArticle
dcterms.bibliographicCitationGrindrod K, Khan H, Hengartner U, Ong S, Logan AG, Vogel D, et al. (2018) Evaluating authentication options for mobile health applications in younger and older adults. PLoS ONE 13(1): e0189048. https://doi.org/10.1371/journal.pone.0189048
uws.contributor.affiliation1Faculty of Health
uws.contributor.affiliation1Faculty of Mathematics
uws.contributor.affiliation2School of Pharmacy
uws.contributor.affiliation2David R. Cheriton School of Computer Science
uws.peerReviewStatusReviewed
uws.scholarLevelFaculty
uws.typeOfResourceTexten

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