Over the last decades, people’s behaviour and attitudes towards privacy have been thoroughly studied by scholars, approaching the issue from different perspectives. To address privacy-related decisions, it is necessary to consider aspects of human cognition, employing, for instance, methods used in Human-Computer Interaction and Information Science research. This paper analyses findings and contributions of existing privacy decision-making research, and suggests filling gaps in current understanding by applying a cognitive architecture framework to model privacy decision-making. This may broaden the range of factors and their relationships that can be integrated into the models of privacy decisions, beyond those in existing decision models.

This is the final author's manuscript version. The final publisher's version is available at Springer via http://dx.doi.org/10.1007/978-3-319-92925-5_12