Conference paper Open Access

Towards a Broadening of Privacy Decision-Making Models: The Use of Cognitive Architectures

Shulman, Yefim

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
Files (484.6 kB)
Name Size
Shulman_PrivacyDecisionMakingModelsCognitiveArchitectures.pdf
md5:b56b4c199feb2f5c568877fb7fc838b6
484.6 kB Download
209
183
views
downloads
All versions This version
Views 209209
Downloads 183183
Data volume 88.7 MB88.7 MB
Unique views 170170
Unique downloads 169169

Share

Cite as