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Grounding Privacy in Mediated Communication

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This paper addresses the need of interpersonal privacy coordination mechanisms in the context of mediated communication, emphasizing the dialectic and dynamic nature of privacy. We contribute the Privacy Grounding Model—built upon the Common Ground theory—that describes how connected individuals create and adapt privacy borders dynamically and in a collaborative process. We present the theoretical foundations of the model. We also show the applicability of the model, where we give evidence from a field study that illustrates how it can describe privacy coordination mechanisms amongst users of an instant messaging application and a desktop awareness system. The model describes efficient and effective factors that communicators consider in their decisions to use mechanisms for coordination. The Privacy Grounding Model aims to help designers reflect on how their system supports, or fails to support, people’s need for lightweight and distinctive privacy coordination mechanisms, and in particular how communicators within the system create and use privacy border representations for grounding their needs to interact with each other.

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Romero, Natalia A.; Markopoulos, Panos; Greenberg, Saul (2013): Grounding Privacy in Mediated Communication. Computer Supported Cooperative Work (CSCW): Vol. 22, No. 1. DOI: 10.1007/s10606-012-9177-z. Springer. PISSN: 1573-7551. pp. 1-32

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common ground theory, HCI, interpersonal privacy, mediated communication

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Number of citations to item: 8

  • Florian Schaub (2018): Context-Adaptive Privacy Mechanisms, In: Handbook of Mobile Data Privacy, doi:10.1007/978-3-319-98161-1_13
  • Chien Wen (Tina) Yuan, Nanyi Bi (2022): Too close to lie to you: investigating availability management on multiple communication tools across different social relationships, In: Library Hi Tech 3(41), doi:10.1108/lht-01-2022-0080
  • Maria Lúcia Bento Villela, Raquel Oliveira Prates (2015): Supporting designers in modeling privacy for social network sites, In: Proceedings of the 14th Brazilian Symposium on Human Factors in Computing Systems, doi:10.1145/3148456.3148468
  • Marc Langheinrich, Florian Schaub (2019): Privacy in Mobile and Pervasive Computing, In: Synthesis Lectures on Mobile & Pervasive Computing, doi:10.2200/s00882ed1v01y201810mpc013
  • Haroon Elahi, Guojun Wang, Wei Zhang (2017): A Privacy-Aware Conceptual Framework for Coordination, In: 2017 IEEE International Symposium on Parallel and Distributed Processing with Applications and 2017 IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC), doi:10.1109/ispa/iucc.2017.00036
  • Andreas Engelmann, Gerhard Schwabe (2024): Certified data chats for future used car markets, In: Electronic Markets 1(34), doi:10.1007/s12525-024-00725-z
  • Andrey Antonio Rodrigues, Natasha M. Costa Valentim, Tayana Conte (2017): Privacy Evaluation of Online Social Network Stories Feature, In: Proceedings of the XVI Brazilian Symposium on Human Factors in Computing Systems, doi:10.1145/3160504.3160528
  • Anne-Marie S. Hansen (2020): The App Is Not Where the Action Is, In: Proceedings of the 7th International Conference on ICT for Sustainability, doi:10.1145/3401335.3401824
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