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cs.HC2026

Investigating Novice Researchers' Perceptions of Research Privacy Within LLM-Assisted Workflows

Shuning Zhang, Changxi Wen, Eve He +4

Large Language Model (LLMs)-assisted scholarly workflows introduce critical privacy and intellectual property risks. As a uniquely vulnerable cohort driven by publication pressure…

cs.HC2026

A Scoping Review and Guidelines on Privacy Policy's Visualization from an HCI Perspective

Shuning Zhang, Eve He, Sixing Tao +5

Privacy Policies are a cornerstone of informed consent, yet a persistent gap exists between their legal intent and practical efficacy. Despite decades of Human-Computer Interaction…

cs.HC2025

SoK: Synthesizing Smart Home Privacy Protection Mechanisms Across Academic Proposals and Commercial Documentations

Shuning Zhang, Yijing Liu, Yuyu Liu +5

Pervasive data collection by Smart Home Devices (SHDs) demands robust Privacy Protection Mechanisms (PPMs). The effectiveness of many PPMs, particularly user-facing controls, depen…

cs.HC2025

The Pervasive Blind Spot: Benchmarking VLM Inference Risks on Everyday Personal Videos

Shuning Zhang, Zhaoxin Li, Changxi Wen +8

The proliferation of Vision-Language Models (VLMs) introduces profound privacy risks from personal videos. This paper addresses the critical yet unexplored inferential privacy thre…

cs.HC2025

Conflect: Designing Reflective Thinking-Based Contextual Privacy Policy for Mobile Applications

Shuning Zhang, Sixing Tao, Eve He +5

Privacy policies are lengthy and complex, leading to user neglect. While contextual privacy policies (CPPs) present information at the point of risk, they may lack engagement and d…

cs.HC2025

Towards Aligning Personalized Conversational Recommendation Agents with Users' Privacy Preferences

Shuning Zhang, Ying Ma, Jingruo Chen +3

The proliferation of AI agents, with their complex and context-dependent actions, renders conventional privacy paradigms obsolete. This position paper argues that the current model…