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Evaluating authentication options for mobile health applications in younger and older adults
OBJECTIVE: 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: Us...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5754080/ https://www.ncbi.nlm.nih.gov/pubmed/29300736 http://dx.doi.org/10.1371/journal.pone.0189048 |
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author | Grindrod, Kelly Khan, Hassan Hengartner, Urs Ong, Stephanie Logan, Alexander G. Vogel, Daniel Gebotys, Robert Yang, Jilan |
author_facet | Grindrod, Kelly Khan, Hassan Hengartner, Urs Ong, Stephanie Logan, Alexander G. Vogel, Daniel Gebotys, Robert Yang, Jilan |
author_sort | Grindrod, Kelly |
collection | PubMed |
description | OBJECTIVE: 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. |
format | Online Article Text |
id | pubmed-5754080 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-57540802018-01-26 Evaluating authentication options for mobile health applications in younger and older adults Grindrod, Kelly Khan, Hassan Hengartner, Urs Ong, Stephanie Logan, Alexander G. Vogel, Daniel Gebotys, Robert Yang, Jilan PLoS One Research Article OBJECTIVE: 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. Public Library of Science 2018-01-04 /pmc/articles/PMC5754080/ /pubmed/29300736 http://dx.doi.org/10.1371/journal.pone.0189048 Text en © 2018 Grindrod et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Grindrod, Kelly Khan, Hassan Hengartner, Urs Ong, Stephanie Logan, Alexander G. Vogel, Daniel Gebotys, Robert Yang, Jilan Evaluating authentication options for mobile health applications in younger and older adults |
title | Evaluating authentication options for mobile health applications in younger and older adults |
title_full | Evaluating authentication options for mobile health applications in younger and older adults |
title_fullStr | Evaluating authentication options for mobile health applications in younger and older adults |
title_full_unstemmed | Evaluating authentication options for mobile health applications in younger and older adults |
title_short | Evaluating authentication options for mobile health applications in younger and older adults |
title_sort | evaluating authentication options for mobile health applications in younger and older adults |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5754080/ https://www.ncbi.nlm.nih.gov/pubmed/29300736 http://dx.doi.org/10.1371/journal.pone.0189048 |
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