activity
20212025
most cited"Sharing, Not Showing Off": How BeReal Approaches Authentic Self-Presentation on Social Media Through Its Design

14 citations · 27 across the 11 of their papers we have counts for

collaborators

13 papers

cs.HC2025★ 2 cited

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…

cs.HC2025

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…

cs.HC2025

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…

cs.HC2025★ 2 cited

Design for Hope: Cultivating Deliberate Hope in the Face of Complex Societal Challenges

JaeWon Kim, Jiaying "Lizzy" Liu, Lindsay Popowski +10

Design has the potential to cultivate hope in the face of complex societal challenges. These challenges are often addressed through efforts aimed at harm reduction and prevention -…

cs.HC2025

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…

cs.HC2025

Social Media Should Feel Like Minecraft, Not Instagram: Youth Visions for Meaningful Social Connections through Fictional Inquiry

JaeWon Kim, Hyunsung Cho, Fannie Liu +1

We conducted co-design workshops with 23 participants (ages 15--24) to explore how youth envision ideal remote social connection. Using Fictional Inquiry (FI) within a Harry Potter…

cs.HC2025★ 2 cited

"A Party That Never Stops": Designing Digital Third Places for Young People's Friendships on Discord

JaeWon Kim, Thea Klein-Balajee, Ryan M. Kelly +1

Third places---informal settings where relationships grow through repeated casual contact---are increasingly inaccessible to young people. Prior work shows that virtual third place…

cs.HC2024★ 7 cited

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…

cs.HC2024★ 14 cited

"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,…

cs.CL2024

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…

cs.CV2024

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…

cs.CY2024

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…

cs.HC2021

LGBTQ Privacy Concerns on Social Media

Christine Geeng, Alexis Hiniker

We conducted semi-structured interviews with members of the LGBTQ community about their privacy practices and concerns on social networking sites. Participants used different socia…