Evidence map›Paper›PMID 29300736›Full record

ArticlePloS one2018

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

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Digital Health Technology to Enhance Adolescent and Young Adult Clinical Preventive Services: Affordances and Challenges.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2020
    Review
  5. Article
  6. Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Kelly GrindrodSchool of Pharmacy, University of Waterloo, Ontario, Canada.ORCID 0000-0003-1135-0391
Hassan KhanCheriton School of Computer Science, University of Waterloo, Ontario, Canada.
Urs HengartnerCheriton School of Computer Science, University of Waterloo, Ontario, Canada.
Stephanie OngUniversity Health Network, Toronto, Ontario, Canada.
Alexander G LoganUniversity Health Network, Toronto, Ontario, Canada.
Daniel VogelCheriton School of Computer Science, University of Waterloo, Ontario, Canada.
Robert GebotysDepartment of Psychology, Wilfrid Laurier University, Waterloo, Ontario, Canada.
Jilan YangSchool of Pharmacy, University of Waterloo, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveApps 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).

resultsA 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.

conclusionsOn 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.

Indexed as

Computer SecurityMobile ApplicationsTelemedicineAdolescentAdultFemaleHumansMaleMiddle AgedReproducibility of ResultsSurveys and QuestionnairesUser-Computer InterfaceYoung Adult

Identifiers

PMID29300736
PMCPMC5754080

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.