ArticleDigital society : ethics, socio-legal and governance of digital technology2022
A Value-centered Exploration of Data Privacy and Personalized Privacy Assistants.
Article in Digital society : ethics, socio-legal and governance of digital technology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
The trial behind it
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Who cites it
0 citing papers in PubMed, 7 citations in OpenAlex.
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Authors and funding
1 author at 1 institution in 1 country.
Funding
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Abstract
In the current post-GDPR landscape, privacy notices have become ever more prevalent on our phones and online. However, these notices are not well suited to their purpose of helping users make informed decisions. I suggest that instead of utilizing notice to elicit informed consent, we could repurpose privacy notices to create the space for more meaningful, value-centered user decisions. Value-centered privacy decisions, or those that accurately reflect who we are and what we value, encapsulate the intuitive role of personal values in data privacy decisions. To explore how we could design for such decisions, I utilize Suzy Killmister's Four-Dimensional Theory of Autonomy (4DT) to operationalize value-centered privacy decisions. I then utilize 4DT to help design a system-called a value-centered privacy assistant (VcPA)-that could help create the space for value-centered data privacy decisions using privacy notices. Using this 4DT lens, I further assess the degree that an existing technology, personalized privacy assistants (PPAs), use notices in a manner that allows for value-centered decision-making. I lastly utilize insights from the PPA assessment to inform the design of a VcPA, concluding that a VcPA could utilize notices to assist users in value-centered app selection and in other data privacy decisions.
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Registered trials
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.