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

Kelly Grindrod, Hassan Khan, Urs Hengartner, Stephanie Ong, Alexander G Logan, Daniel Vogel, Robert Gebotys, Jilan Yang
Author Information
  1. Kelly Grindrod: School of Pharmacy, University of Waterloo, Ontario, Canada. ORCID
  2. Hassan Khan: Cheriton School of Computer Science, University of Waterloo, Ontario, Canada.
  3. Urs Hengartner: Cheriton School of Computer Science, University of Waterloo, Ontario, Canada.
  4. Stephanie Ong: University Health Network, Toronto, Ontario, Canada.
  5. Alexander G Logan: University Health Network, Toronto, Ontario, Canada.
  6. Daniel Vogel: Cheriton School of Computer Science, University of Waterloo, Ontario, Canada.
  7. Robert Gebotys: Department of Psychology, Wilfrid Laurier University, Waterloo, Ontario, Canada.
  8. Jilan Yang: School of Pharmacy, University of Waterloo, Ontario, Canada.

Abstract

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.

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MeSH Term

Adolescent
Adult
Computer Security
Female
Humans
Male
Middle Aged
Mobile Applications
Reproducibility of Results
Surveys and Questionnaires
Telemedicine
User-Computer Interface
Young Adult

Word Cloud

Created with Highcharts 10.0.0PINparticipantsolderPATTERNyoungerGRAPHICALusingtimemobileusabilityauthenticationoptionsgraphicalswipe-styleFINGERPRINTlikelyconsumingmayhealthdevicesaffecttestedadultsUsabilitytwoyearsAndroidpattern-lockfingerprintParticipantsoptionSUSOverallerrorsperattemptloginratealsolesstiringannoyingpasswordstooklongerauthenticateOBJECTIVE:Appspromotingpatientself-managementimproveoutcomesHowevermethodssecurestoredinformationadverselyreliabilitycommonusertechniquesMETHODOLOGY:testingconductedagegroups183050completingdemographicquestionnaireparticipantfourrandomorder:four-digitpersonalidentificationnumberpasswordscannerratedSystemsScaleRESULTS:total5943completedstudyfastest344sfewest002ableleast98%slowest2697saverage146successful85%higherscoresComparedfindconsiderYoungerCONCLUSIONS:outperformedfingerprintscomparedOlderthreesecondspatternthoughappearperceivedEvaluatingapplications

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