14 citations · 23 across the 8 of their papers we have counts for
11 papers
Right Words, Wrong Moment: A Clinician-Grounded Analysis of Distress in 19,930 Conversations between Young People and ChatGPT
Marx Wang, Ella Zhang, Cameron Tan +11
Young people increasingly turn to General-Purpose Conversational Agents (GPCAs), such as ChatGPT, in moments of distress. We examine young adults' (ages 18-25) experiences using Ch…
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…
"Sharing, Not Showing Off": How BeReal Approaches Authentic Self-Presentation on Social Media Through Its Design
JaeWon Kim, Robert Wolfe, Ishita Chordia +2
Adolescents are particularly vulnerable to the pressures created by social media, such as heightened self-consciousness and the need for extensive self-presentation. In this study,…
ML-EAT: A Multilevel Embedding Association Test for Interpretable and Transparent Social Science
Robert Wolfe, Alexis Hiniker, Bill Howe
This research introduces the Multilevel Embedding Association Test (ML-EAT), a method designed for interpretable and transparent measurement of intrinsic bias in language technolog…
Dataset Scale and Societal Consistency Mediate Facial Impression Bias in Vision-Language AI
Robert Wolfe, Aayushi Dangol, Alexis Hiniker +1
Multimodal AI models capable of associating images and text hold promise for numerous domains, ranging from automated image captioning to accessibility applications for blind and l…
Representation Bias of Adolescents in AI: A Bilingual, Bicultural Study
Robert Wolfe, Aayushi Dangol, Bill Howe +1
Popular and news media often portray teenagers with sensationalism, as both a risk to society and at risk from society. As AI begins to absorb some of the epistemic functions of tr…