PEDRO: Privacy-Enhancing Decision suppoRt tOol

Paul van Schaik; Karen Renaud

doi:10.3390/app14209275

PEDRO: Privacy-Enhancing Decision suppoRt tOol

Paul van Schaik, Karen Renaud^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

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Abstract

Citizens face online privacy threats from social media, online service providers and governments. Privacy-enhancing tools (PETs) can prevent privacy invasion, but the uptake of these is limited. We developed a novel conceptual framework for privacy self-protection, consisting of a classification framework of four distinct privacy threats and our own novel staged model of PET adoption requisites. Through an expert survey (N = 12) and a lay user survey (N = 500), we identified suitable PETs for non-expert users and identified potential barriers to PET adoption. Based on the studies and our theoretical framework, we then developed and implemented a PET decision support tool called PEDRO, and conducted expert evaluations (N = 10) to confirm the validity of its recommendations.

Original language	English
Article number	9275
Number of pages	14
Journal	Applied Sciences
Volume	14
Issue number	20
DOIs	https://doi.org/10.3390/app14209275
Publication status	Published - 11 Oct 2024

Funding

The authors are grateful to REPHRAIN (EPSRC: EP/W032473/1) for financial support.

Keywords

privacy-enhancing tool
technology adoption
stage model
PET decision support tool

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10.3390/app14209275Licence: CC BY 4.0

van-Schaik-Renaud-AS-2024-PEDRO-Privacy-Enhancing-Decision-suppoRt-tOolFinal published version, 1.24 MBLicence: CC BY 4.0

Cite this

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title = "PEDRO: Privacy-Enhancing Decision suppoRt tOol",

abstract = "Citizens face online privacy threats from social media, online service providers and governments. Privacy-enhancing tools (PETs) can prevent privacy invasion, but the uptake of these is limited. We developed a novel conceptual framework for privacy self-protection, consisting of a classification framework of four distinct privacy threats and our own novel staged model of PET adoption requisites. Through an expert survey (N = 12) and a lay user survey (N = 500), we identified suitable PETs for non-expert users and identified potential barriers to PET adoption. Based on the studies and our theoretical framework, we then developed and implemented a PET decision support tool called PEDRO, and conducted expert evaluations (N = 10) to confirm the validity of its recommendations.",

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PEDRO: Privacy-Enhancing Decision suppoRt tOol

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