Shady Mansour (LMU Munich), Pascal Knierim (Universitat Innsbruck), Joseph O’Hagan (University of Glasgow), Florian Alt (University of the Bundeswehr Munich), Florian Mathis (University of Glasgow)

VR Head-Mounted Displays (HMDs) provide unlimited and personalized virtual workspaces and will enable working anytime and anywhere. However, if HMDs are to become ubiquitous, VR users are at risk of being observed, which can threaten their privacy. We examine six Bystander Awareness Notification Systems (BANS) to enhance VR users’ bystander awareness whilst immersed in VR. In a user study (N=28), we explore how future HMDs equipped with BANS might enable users to maintain their privacy while contributing towards enjoyable and productive travels. Results indicate that BANS increase VR users’ bystander awareness without affecting presence and productivity. Users prefer BANS that extract and present the most details of reality to facilitate their bystander awareness. We conclude by synthesizing four recommendations, such as providing VR users with control over BANS and considering how VR users can best transition between realities, to inform the design of privacy-preserving HMDs.

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Tony Nasr (Concordia University), Sadegh Torabi (George Mason University), Elias Bou-Harb (University of Texas at San Antonio), Claude Fachkha (University of Dubai), Chadi Assi (Concordia University)

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AuthentiSense: A Scalable Behavioral Biometrics Authentication Scheme using Few-Shot...

Hossein Fereidooni (Technical University of Darmstadt), Jan Koenig (University of Wuerzburg), Phillip Rieger (Technical University of Darmstadt), Marco Chilese (Technical University of Darmstadt), Bora Goekbakan (KOBIL, Germany), Moritz Finke (University of Wuerzburg), Alexandra Dmitrienko (University of Wuerzburg), Ahmad-Reza Sadeghi (Technical University of Darmstadt)

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Real Threshold ECDSA

Harry W. H. Wong (The Chinese University of Hong Kong), Jack P. K. Ma (The Chinese University of Hong Kong), Hoover H. F. Yin (The Chinese University of Hong Kong), Sherman S. M. Chow (The Chinese University of Hong Kong)

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Detection and Resolution of Control Decision Anomalies

Prof. Kang Shin (Kevin and Nancy O'Connor Professor of Computer Science, and the Founding Director of the Real-Time Computing Laboratory (RTCL) in the Electrical Engineering and Computer Science Department at the University of Michigan)

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