6 papers
SusBench: An Online Benchmark for Evaluating Dark Pattern Susceptibility of Computer-Use Agents
Longjie Guo, Chenjie Yuan, Mingyuan Zhong +7
As LLM-based computer-use agents (CUAs) begin to autonomously interact with real-world interfaces, understanding their vulnerability to manipulative interface designs becomes incre…
Challenges and Opportunities for Participatory Design of Conversational Agents for Young People's Wellbeing
Natalia Kucirkova, Alexis Hiniker, Megumi Ishikawa +3
This paper outlines the challenges and opportunities of research on conversational agents with children and young people across four countries, exploring the ways AI technologies c…
Toward Needs-Conscious Design: Co-Designing a Human-Centered Framework for AI-Mediated Communication
Robert Wolfe, Aayushi Dangol, JaeWon Kim +1
We introduce Needs-Conscious Design, a human-centered framework for AI-mediated communication that builds on the principles of Nonviolent Communication (NVC). We conducted an inter…
Understanding Privacy Norms Around LLM-Based Chatbots: A Contextual Integrity Perspective
Sarah Tran, Hongfan Lu, Isaac Slaughter +9
LLM-driven chatbots like ChatGPT have created large volumes of conversational data, but little is known about how user privacy expectations are evolving with this technology. We co…
Trust-Enabled Privacy: Social Media Designs to Support Adolescent User Boundary Regulation
JaeWon Kim, Robert Wolfe, Ramya Bhagirathi Subramanian +3
Adolescents heavily rely on social media to build and maintain close relationships, yet current platform designs often make self-disclosure feel risky or uncomfortable. Through a t…
Privacy as Social Norm: Systematically Reducing Dysfunctional Privacy Concerns on Social Media
JaeWon Kim, Soobin Cho, Robert Wolfe +2
Through co-design interviews () and a design evaluation survey (N=136) with U.S. teens ages 13-18, we investigated teens' privacy management on social media. Our study reveal…