Does Imperfect Data Privacy Stop People from Collecting Personal Data?

Does Imperfect Data Privacy Stop People from Collecting Personal Health Data?

Privacy regulations can affect the willingness to collect personal health data that may be disclosed to insurers. Perfect privacy cannot always be guaranteed. Consequently, people may refrain from collecting personal health data. This paper provides a theoretical and experimental analysis of the importance of privacy regulations for information acquisition and disclosure behavior. We contrast t...

Valuating Friends' Privacy: Does Anonymity of Sharing Personal Data Matter?

Through their third-party app installation decisions, users are frequently triggering interdependent privacy consequences by sharing personal information of their friends who are unable to control these information flows. With our study, we aim to quantify the value which app users attribute to their friends’ information (i.e., value of interdependent privacy) and to understand how this valuati...

Property, Privacy, and Personal Data

Collecting and Analysing Personal Information Management Data

Personal Information Management (PIM) research has investigated the information trail generated by an individual while performing some information-seeking task on their desktop, with the aim of improving PIM tool-support. Nevertheless, due to the personal nature of the data, this is rarely released for reuse. Furthermore, there exists no tool that allows a PIM researcher to investigate how PIM ...

Learning from imperfect data

For a supervised learning method, the quality of the training data or the training supervisor is very important in generating reliable neural networks. However, for real world problems, it is not always easy to obtain high quality training data sets. In this research, we propose a learning method for a neural network ensemble model that can be trained with an imperfect training data set, which ...