%0 Conference Proceedings
%T Applications for In-Situ Feedback on Social Network Notifications
%+ Deutsches Forschungszentrum für Künstliche Intelligenz GmbH = German Research Center for Artificial Intelligence (DFKI)
%A Raber, Frederic
%A Krüger, Antonio
%Z Part 10: Interactive Posters
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 17th IFIP Conference on Human-Computer Interaction (INTERACT)
%C Paphos, Cyprus
%Y David Lamas
%Y Fernando Loizides
%Y Lennart Nacke
%Y Helen Petrie
%Y Marco Winckler
%Y Panayiotis Zaphiris
%I Springer International Publishing
%3 Human-Computer Interaction – INTERACT 2019
%V LNCS-11749
%N Part IV
%P 626-629
%8 2019-09-02
%D 2019
%R 10.1007/978-3-030-29390-1_50
%K Feedback
%K Smartphone
%K Smartwatch
%K Social network
%K Privacy
%K User interface design
%K feedback
%K smartphone
%K smartwatch
%K social network
%K privacy
%K user interface design
%Z Computer Science [cs]Conference papers
%X In social networks, it often arises that a post is shared with a broader audience than intended, which is often finally noticed when one of the unintentionally included friends likes or comments on the post. We present an approach for privacy setting adaptation based on in-situ feedback on such social network update notifications. We implemented a smartphone application that allows users to give positive or negative feedback using two buttons integrated into Facebook’s update notifications. We collected qualitative feedback from focus groups to find out what impact of in-situ feedback on privacy settings is expected by users. Our findings indicate that there is no general rule of thumb on how the privacy settings should be adapted. Nevertheless, the discussion led to a new approach that allows users to manage and adapt her privacy settings, and which is also capable of performing content elicitation and filtering for social network sites.
%G English
%Z TC 13
%2 https://inria.hal.science/hal-02878646/document
%2 https://inria.hal.science/hal-02878646/file/488595_1_En_50_Chapter.pdf
%L hal-02878646
%U https://inria.hal.science/hal-02878646
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC13
%~ IFIP-INTERACT
%~ IFIP-LNCS-11749