Yanlai Wu, University of Central Florida; Xinning Gui, The Pennsylvania State University; Yuhan Luo, City University of Hong Kong; Yao Li, University of Central Florida
The ubiquity of synchronous information disclosure technologies (e.g., live streaming) has heightened the risk of bystanders being unknowingly captured. While prior work has largely focused on solutions aimed only at informing the key stakeholder - bystanders, there remains a gap in understanding how device owners and bystanders mutually expect the informing process, which is critical to ensure successful informing. To address this gap, we utilized live streaming as a case study and conducted a design ideation study with 21 participants, including both streamers and bystanders. Our focus was to understand streamers' and bystanders' needs for informing regarding bystander privacy at the ideation state and derive design principles. Participants' design ideas reflected various and nuanced privacy concerns, from which we identified key design principles for future design.
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author = {Yanlai Wu and Xinning Gui and Yuhan Luo and Yao Li},
title = {Designing the Informing Process with Streamers and Bystanders in Live Streaming},
booktitle = {Twentieth Symposium on Usable Privacy and Security (SOUPS 2024)},
year = {2024},
isbn = {978-1-939133-42-7},
address = {Philadelphia, PA},
pages = {315--332},
url = {https://www.usenix.org/conference/soups2024/presentation/wu},
publisher = {USENIX Association},
month = aug
}