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

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Abstract

Citizens face online privacy threats from social media, organisations and governments. Privacy-enhancing tools (PETs) can help people to preserve their privacy, but the uptake of these is limited. We developed a conceptual framework, using a classification framework of four distinct privacy threats and our own novel staged model of PET adoption requisites. Through an expert survey and a large lay user survey, 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.

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

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

abstract = "Citizens face online privacy threats from social media, organisations and governments. Privacy-enhancing tools (PETs) can help people to preserve their privacy, but the uptake of these is limited. We developed a conceptual framework, using a classification framework of four distinct privacy threats and our own novel staged model of PET adoption requisites. Through an expert survey and a large lay user survey, 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.",

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AB - Citizens face online privacy threats from social media, organisations and governments. Privacy-enhancing tools (PETs) can help people to preserve their privacy, but the uptake of these is limited. We developed a conceptual framework, using a classification framework of four distinct privacy threats and our own novel staged model of PET adoption requisites. Through an expert survey and a large lay user survey, 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.

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PEDRO: Privacy Enhancing Decision suppoRt tOol

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