Hewu Li

schoolTsinghua Universitybar_chart#420 Global Rank

Total Papers

HCI Rank

#420

Research Areas

Years Active

Recent Publications

PrivWeb: Unobtrusive and Content-aware Privacy Protection For Web Agents

While web agents gained popularity by automating web interactions, their requirement for interface access introduces privacy risks that are understudied, particularly from users' perspective. Through a formative study (N=15), we found that users frequently misunderstand agent data practices, and desire unobtrusive, tr…

CHI '26CorrespondingSmart Home Privacy & Security +3

VisGuardian: A Lightweight Group-based Visual Privacy Control Technique For Smart Glasses in Home Environments

Always-on sensing of AI applications on AR glasses makes traditional permission techniques inefficient for context-dependent private visual data within home environments. Home presents a challenging privacy context due to massive sensitive objects and the intimate nature of daily routines. We propose VisGuardian, a fi…

CHI '26CorrespondingPrivacy by Design & User Control +1

"Privacy across the boundary": Examining Perceived Privacy Risk Across Data Transmission and Sharing Ranges of Smart Home Personal Assistants

As Smart Home Personal Assistants (SPAs) evolve into social agents, understanding user privacy necessitates interpersonal communication frameworks, such as Privacy Boundary Theory (PBT). To ground our investigation, our three-phase preliminary study (1) identified transmission and sharing ranges as key boundary-relate…

CHI '26CorrespondingHuman-LLM Collaboration +2

Characterizing Unintended Consequences of GUI Agents For Web Browsing

The integration of LLMs into GUI agents promises to revolutionize web browsing automation, yet the practical user experience remains challenging. This paper systematically characterizes user-reported issues with GUI agents by focusing on three dimensions: phenomena, influences, and user-centric mitigation. We adopted…

CHI '26CorrespondingDeepfake & Synthetic Media Detection +2

Collab: Fostering Critical Identification of Deepfake Videos on Social Media via Synergistic Annotation

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 scalable moderation on platforms. Here, we present Collab, a web plugin enabling users to collaboratively annotate deepfake videos. Collab…

CHI '26CorrespondingSocial & Collaborative VR +3

Roomify: Spatially-Grounded Style Transformation for Immersive Virtual Environments

We present Roomify, a spatially-grounded transformation system that generates themed virtual environments anchored to users' physical rooms while maintaining spatial structure and functional semantics. Current VR approaches face a fundamental trade-off: full immersion sacrifices spatial awareness, while passthrough so…

CHI '26CorrespondingPrivacy Perception & Decision-Making +2

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

Privacy Policies are a cornerstone of informed consent, yet a persistent gap exists between their legal intent and practical efficacy. Despite decades of research proposing various visualizations, user comprehension remains low, and designs rarely see widespread adoption. To understand this landscape and chart a path…

CHI '26CorrespondingPrivacy by Design & User Control +2

Mind the Gap: Mapping Wearer–Bystander Privacy Tensions and Context-Adaptive Pathways for Camera Glasses

Camera glasses create fundamental privacy tensions between wearers seeking recording functionality and bystanders concerned about unauthorized surveillance. We present a systematic multi-stakeholder evaluation of privacy mechanisms through surveys (N=525) and paired interviews (N=20) in China. Study 1 quantifies expec…

CHI '25CorrespondingVR Medical Training & Rehabilitation +2

PrivCAPTCHA: Interactive CAPTCHA to Facilitate Effective Comprehension of APP Privacy Policy

Traditional app privacy policies are often lengthy and non-interactive, leading users to skip them and remain uninformed. To address this, we proposed PrivCAP, a technique to enhance user comprehension by presenting policies in a concise, interactive format. PrivCAP adopted a CAPTCHA-based design, requiring users to i…

CHI '25CorrespondingAutomated Driving Interface & Takeover Design +2

Actual Achieved Gain and Optimal Perceived Gain: Modeling Human Take-over Decisions Towards Automated Vehicles' Suggestions

Driver decision quality in take-overs is critical for effective human-Autonomous Driving System (ADS) collaboration. However, current research lacks detailed analysis of its variations. This paper introduces two metrics--Actual Achieved Gain (AAG) and Optimal Perceived Gain (OPG)--to assess decision quality, with OPG…

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