Anxhela Maloku (Technical University of Munich), Alexandra Klymenko (Technical University of Munich), Stephen Meisenbacher (Technical University of Munich), Florian Matthes (Technical University of Munich)

In the study of Human-Computer Interaction, privacy is often seen as a core issue, and it has been explored directly in connection with User Interface (UI) and User Experience (UX) design. We systematically investigate the key considerations and factors for privacy in UI/UX, drawing upon the extant literature and 15 semi-structured interviews with experts working in the field. These insights lead to the synthesis of 14 primary design considerations for privacy in UI/UX, as well as 14 key factors under four main axes affecting privacy work therein. From these findings, we produce our main research artifact, a UI/UX Privacy Pattern Catalog, which we validate in a series of two interactive workshops and one online survey with UI/UX practitioners. Our work not only systematizes a field growing in both attention and importance, but it also provides an actionable and expert-validated artifact to guide UI/UX designers in realizing privacy-preserving UI/UX design.

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Modeling End-User Affective Discomfort With Mobile App Permissions Across...

Yuxi Wu (Georgia Institute of Technology and Northeastern University), Jacob Logas (Georgia Institute of Technology), Devansh Ponda (Georgia Institute of Technology), Julia Haines (Google), Jiaming Li (Google), Jeffrey Nichols (Apple), W. Keith Edwards (Georgia Institute of Technology), Sauvik Das (Carnegie Mellon University)

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Mobius: Enabling Byzantine-Resilient Single Secret Leader Election with Uniquely...

Hanyue Dou (Institute of Software, Chinese Academy of Sciences; the School of Computer Science and Technology, University of Chinese Academy of Sciences), Peifang Ni (Institute of Software, Chinese Academy of Sciences; Zhongguancun Laboratory), Yingzi Gao (Shandong University), Jing Xu (Institute of Software, Chinese Academy of Sciences; Zhongguancun Laboratory)

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