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Smartphone users: Understanding how security mechanisms are perceived and new persuasive methods

Overview of attention for article published in PLOS ONE, March 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

news
1 news outlet
twitter
9 X users

Readers on

mendeley
151 Mendeley
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Article details
Title
Smartphone users: Understanding how security mechanisms are perceived and new persuasive methods
Published in
PLOS ONE, March 2017
DOI 10.1371/journal.pone.0173284
Pubmed ID
Authors
Abstract

Protecting smartphones against security threats is a multidimensional problem involving human and technological factors. This study investigates how smartphone users' security- and privacy-related decisions are influenced by their attitudes, perceptions, and understanding of various security threats. In this work, we seek to provide quantified insights into smartphone users' behavior toward multiple key security features including locking mechanisms, application repositories, mobile instant messaging, and smartphone location services. To the best of our knowledge, this is the first study that reveals often unforeseen correlations and dependencies between various privacy- and security-related behaviors. Our work also provides evidence that making correct security decisions might not necessarily correlate with individuals' awareness of the consequences of security threats. By comparing participants' behavior and their motives for adopting or ignoring certain security practices, we suggest implementing additional persuasive approaches that focus on addressing social and technological aspects of the problem. On the basis of our findings and the results presented in the literature, we identify the factors that might influence smartphone users' security behaviors. We then use our understanding of what might drive and influence significant behavioral changes to propose several platform design modifications that we believe could improve the security levels of smartphones.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 151 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 151 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 25 17%
Student > Bachelor 24 16%
Student > Master 22 15%
Lecturer 11 7%
Researcher 8 5%
Other 20 13%
Unknown 41 27%
Readers by discipline
Readers by discipline Count As %
Computer Science 54 36%
Business, Management and Accounting 16 11%
Social Sciences 6 4%
Economics, Econometrics and Finance 4 3%
Psychology 4 3%
Other 20 13%
Unknown 47 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 December 2025.
All research outputs
#2,508,029
of 32,692,245 outputs
Outputs from PLOS ONE
#27,105
of 217,530 outputs
Outputs of similar age
#36,844
of 340,584 outputs
Outputs of similar age from PLOS ONE
#595
of 4,807 outputs
Altmetric has tracked 32,692,245 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 217,530 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.0. This one has done well, scoring higher than 87% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 340,584 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 4,807 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.