Conference paper Open Access
{ "publisher": "Zenodo", "DOI": "10.5281/zenodo.1321890", "language": "eng", "title": "Towards a Broadening of Privacy Decision-Making Models: The Use of Cognitive Architectures", "issued": { "date-parts": [ [ 2018, 6, 9 ] ] }, "abstract": "<p>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.</p>", "author": [ { "family": "Shulman, Yefim" } ], "id": "1321890", "note": "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", "event-place": "Ispra, Italy", "type": "paper-conference", "event": "12th International IFIP Summer School on Privacy and Identity Management" }
All versions | This version | |
---|---|---|
Views | 137 | 137 |
Downloads | 135 | 135 |
Data volume | 65.4 MB | 65.4 MB |
Unique views | 119 | 119 |
Unique downloads | 121 | 121 |