27 citations · 33 across the 30 of their papers we have counts for
36 papers
"Black Mirror?": Public Sensemaking of AI-Powered Lifelogging
Ying Ma, Jarod Govers, Le Fang +4
AI-powered lifelogging wearables are emerging as a new class of consumer devices that transform everyday experience into searchable, AI-curated memory archives. We study early publ…
Characterizing Memory Misalignment in Human-LLM Interaction From User Perspectives
Jingruo Chen, Shuning Zhang, Eryue Xu +2
While memory enhances personalization in LLM-based conversational agents, it suffers from memory misalignment, where memories violate user expectations. We present a mixed-methods…
Alignment and Divergence between Humans and AI in Interpersonal Privacy Decisions
Hanxiang Zeng, Shuning Zhang, Xinyuan Zhou +5
AI assistants increasingly mediate interpersonal communication on behalf of their primary user, but they risk violating the privacy expectations of third-party information owners.…
Needs Your Help: Understanding Platform-Directed Rating Participation in Community Notes on X
Shuning Zhang, Changxi Wen, Jiuchang Wang +4
Community-based fact-checking is promising in countering misinformation, yet its scalability is constrained by slow rating accumulation. To address this challenge, platforms such a…
AI Peers Exert Social Influence on Human Dishonesty in Groups
Shuning Zhang, Xinyuan Zhou, Yuanyang Qiu +4
Human dishonesty in group settings is highly susceptible to peer influence, particularly when incentivized. Although artificial intelligence (AI) evolves from passive tools into ac…
CoVer: Conflict-Aware Claim Verification
Shuning Zhang, Dai Shi, Bohao Chu +7
Social media fact-checking has long been challenged by evidence-level and aggregation-level conflicts, where erroneous evidence mimics authoritative news sources. To capture this c…
Position: Robot Privacy as Embodied Boundary Work. Connecting Capabilities, Contexts, and Design Responses in Everyday Robotics
Liwen He, Shuning Zhang, Chengwen Zhang +4
Robots are increasingly entering everyday environments where privacy is shaped not only by data practices, but also by spatial, bodily, social, and relational boundaries. Their emb…
Understanding Security and Privacy Perceptions of Content Creators Regarding AI Labels of AI-Generated Content
Shuning Zhang, Hui Wang, Rongjun Ma +4
AI labels, typically implemented via underlying tracing mechanisms such as watermarks and metadata, are crucial for protecting Artificial Intelligence-Generated Content (AIGC) agai…
Is It Real? Exploiting Virtual-Physical Discrimination Vulnerability in Mixed Reality
Xueyang Wang, Xihuan Yao, Yanming Xiu +3
Consumer mixed reality (MR) headsets seamlessly blend virtual content into physical environments with sufficient fidelity that users may be unable to distinguish virtual objects fr…
CANote: Empowering Fact-checking Note Writing Through Scaffolded and Provenance-based Human-AI Collaboration
Shuning Zhang, Jingruo Chen, Yuwei Chuai +4
Crowdsourced fact-checking mechanisms, such as X's Community Notes, play a critical role in mitigating the spread of misinformation. However, drafting high-quality, evidence-based…
Towards Multi-Agent-Simulation-Based Community Note Evaluation
Changxi Wen, Shuning Zhang, Bohao Chu +5
Community-based fact-checking that relies on cross-consensus is expanding rapidly on social media platforms. However, the delay and low-ratio of cross-consensus community fact-chec…
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…
Generative AI-Enabled Refund Fraud in Chinese E-Commerce: Investigation on Merchants and Platform Workers
Shuning Zhang, Eve He, Xiao Zhan +4
E-commerce dispute resolution typically relies on the security assumption that digital evidence truthfully reflects physical reality. Generative AI (GenAI) invalidates this threat…
Focused on the User, Overlooking the Risks: Security and Privacy Understandings, Practices and Challenges of Independent Chinese AI Agent Developers
Shuning Zhang, Mingyao Xu, Zhixin Huang +6
The proliferation of AI agents empowers independent developers, defined as individual or small groups who self-initiate projects rather than fulfill client-based contracts, to crea…
VisGuardian: A Lightweight Group-based Privacy Control Technique For Front Camera Data From AR Glasses in Home Environments
Shuning Zhang, Qucheng Zang, Yongquan `Owen' Hu +7
Always-on sensing of AI applications on AR glasses makes traditional permission techniques ill-suited for context-dependent visual data, especially within home environments. The ho…
"Privacy across the boundary": Examining Perceived Privacy Risk Across Data Transmission and Sharing Ranges of Smart Home Personal Assistants
Shuning Zhang, Shixuan Li, Haobin Xing +4
As Smart Home Personal Assistants (SPAs) evolve into social agents, understanding user privacy necessitates interpersonal communication frameworks, such as Privacy Boundary Theory…
Collab: Fostering Critical Identification of Deepfake Videos on Social Media via Synergistic Annotation
Shuning Zhang, Linzhi Wang, Shixuan Li +5
Identifying deepfake videos on social media platforms is challenged by dynamic spatio-temporal artifacts and inadequate user tools. This hinders both critical viewing by users and…
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…
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…
"Power of Words": Stealthy and Adaptive Private Information Elicitation via LLM Communication Strategies
Shuning Zhang, Jiaqi Bai, Linzhi Wang +3
While communication strategies of Large Language Models (LLMs) are crucial for human-LLM interactions, they can also be weaponized to elicit private information, yet such stealthy…
Position: Human-Robot Interaction in Embodied Intelligence Demands a Shift From Static Privacy Controls to Dynamic Learning
Shuning Zhang, Hong Jia, Simin Li +4
The reasoning capabilities of embodied agents introduce a critical, under-explored inferential privacy challenge, where the risk of an agent generate sensitive conclusions from amb…
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…
PrivWeb: Unobtrusive and Content-aware Privacy Protection For Web Agents
Shuning Zhang, Yutong Jiang, Rongjun Ma +5
While web agents gained popularity by automating web interactions, their requirement for interface access introduces significant privacy risks that are understudied, particularly f…
Fact-Checking Comments Precede Community Notes to Misleading Posts on X
Shuning Zhang, Dai Shi, Yuwei Chuai +6
Community-based fact-checking systems, such as X's Community Notes program, offer a potentially scalable approach against online misinformation diffusion. However, their efficacy i…