Abstract : 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.
https://hal.inria.fr/hal-01883617 Contributor : Hal IfipConnect in order to contact the contributor Submitted on : Friday, September 28, 2018 - 2:02:39 PM Last modification on : Friday, September 28, 2018 - 3:11:22 PM Long-term archiving on: : Saturday, December 29, 2018 - 3:17:47 PM
Yefim Shulman. Towards a Broadening of Privacy Decision-Making Models: The Use of Cognitive Architectures. Marit Hansen; Eleni Kosta; Igor Nai-Fovino; Simone Fischer-Hübner. Privacy and Identity Management. The Smart Revolution : 12th IFIP WG 9.2, 9.5, 9.6/11.7, 11.6/SIG 9.2.2 International Summer School, Ispra, Italy, September 4-8, 2017, Revised Selected Papers, AICT-526, Springer International Publishing, pp.187-204, 2018, IFIP Advances in Information and Communication Technology, 978-3-319-92924-8. ⟨10.1007/978-3-319-92925-5_12⟩. ⟨hal-01883617⟩