Better the devil you know: Exposing the data sharing practices of smartphone apps

M Van Kleek, I Liccardi, R Binns, J Zhao… - Proceedings of the …, 2017 - dl.acm.org
Most users of smartphone apps remain unaware of what data about them is being collected,
by whom, and how these data are being used. In this mixed methods investigation, we …

[PDF][PDF] User-Tailored Privacy.

BP Knijnenburg, RG Anaraky, D Wilkinson, M Namara… - 2022 - library.oapen.org
Modern information systems require their users to make a myriad of privacy decisions, but
users are often neither motivated nor capable of managing this deluge of decisions. This …

To be, or not to be notified: Eliciting privacy notification preferences for online mhealth services

P Murmann, D Reinhardt, S Fischer-Hübner - ICT Systems Security and …, 2019 - Springer
Millions of people are tracking and quantifying their fitness and health, and entrust online
mobile health (mhealth) services with storing and processing their sensitive personal data …

Kgp meter: Communicating kin genomic privacy to the masses

M Humbert, D Dupertuis, M Cherubini… - 2022 IEEE 7th …, 2022 - ieeexplore.ieee.org
Direct-to-consumer genetic testing services are gaining momentum: As of today, companies
such as 23andMe or AncestryDNA have already attracted 26 million customers. These …

A capability-oriented approach to assessing privacy risk in smart home ecosystems

J Sturgess, JRC Nurse, J Zhao - Living in the Internet of Things …, 2018 - ieeexplore.ieee.org
Smart devices are increasingly ubiquitous; the multitude of risks they pose to user privacy
continues to grow, but assessing such risks comprehensively has proven difficult. In this …

My bank already gets this data: Exposure minimisation and company relationships in privacy decision-making

R Binns, J Zhao, M Van Kleek, N Shadbolt… - Proceedings of the …, 2017 - dl.acm.org
This paper explores how individuals' privacy-related decision-making processes may be
influenced by their pre-existing relationships to companies in a wider social and economic …

1 Karlstad University, Karlstad, Sweden patrick. murmann@ kau. se 2 University of Göttingen, Göttingen, Germany

P Murmann¹, D Reinhardt… - ICT Systems Security …, 2019 - books.google.com
Millions of people are tracking and quantifying their fitness and health, and entrust online
mobile health (mhealth) services with storing and processing their sensitive personal data …

Privacy Support for the Total Learning Architecture Volume 2: Modeling Factors

BP Knijnenburg, D Cherry, Y He, RG Anaraky… - 2018 - apps.dtic.mil
The purpose of this document is to make recommendations for implementing User-Tailored
Privacy UTP into Total Learning Architecture TLA-based systems and to inform ADL and …

A Capability− oriented Approach to Assessing Privacy Risk in Smart Home Ecosystems

J Nurse, J Sturgess, J Zhao - 2018 - cs.ox.ac.uk
Smart devices are increasingly ubiquitous; the multitude of risks they pose to user privacy
continues to grow, but assessing such risks has proven difficult. In this paper, we discuss …