6 papers
PrivacyMotiv: Vulnerability-Centered Persona Journeys for Empathic Privacy Reviews in UX Design
Zeya Chen, Jianing Wen, Yaxing Yao +2
UX professionals routinely conduct design reviews, yet privacy concerns are often overlooked, not only due to limited tools, but more fundamentally from low intrinsic motivation, d…
Disclose with Care: Designing Privacy Controls in Interview Chatbots
Ziwen Li, Ziang Xiao, Tianshi Li
Collecting data on sensitive topics remains challenging in HCI, as participants often withhold information due to privacy concerns and social desirability bias. While chatbots' per…
PriviSense: A Frida-Based Framework for Multi-Sensor Spoofing on Android
Ibrahim Khalilov, Chaoran Chen, Ziang Xiao +3
Mobile apps increasingly rely on real-time sensor and system data to adapt their behavior to user context. While emulators and instrumented builds offer partial solutions, they oft…
Dark Patterns Meet GUI Agents: LLM Agent Susceptibility to Manipulative Interfaces and the Role of Human Oversight
Jingyu Tang, Chaoran Chen, Jiawen Li +11
The dark patterns, deceptive interface designs manipulating user behaviors, have been extensively studied for their effects on human decision-making and autonomy. Yet, with the ris…
Toward a Human-Centered Evaluation Framework for Trustworthy LLM-Powered GUI Agents
Chaoran Chen, Zhiping Zhang, Ibrahim Khalilov +7
The rise of Large Language Models (LLMs) has revolutionized Graphical User Interface (GUI) automation through LLM-powered GUI agents, yet their ability to process sensitive data wi…
The Obvious Invisible Threat: LLM-Powered GUI Agents' Vulnerability to Fine-Print Injections
Chaoran Chen, Zhiping Zhang, Bingcan Guo +8
A Large Language Model (LLM) powered GUI agent is a specialized autonomous system that performs tasks on the user's behalf according to high-level instructions. It does so by perce…