14 citations · 19 across the 8 of their papers we have counts for
8 papers
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…
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…
The Engagement-Prolonging Designs Teens Encounter on Very Large Online Platforms
Yixin Chen, Yue Fu, Zeya Chen +2
In the attention economy, online platforms are incentivized to design products that maximize user engagement, even when such practices conflict with users' best interests. We condu…
Creativity in the Age of AI: Evaluating the Impact of Generative AI on Design Outputs and Designers' Creative Thinking
Yue Fu, Han Bin, Tony Zhou +5
As generative AI (GenAI) increasingly permeates design workflows, its impact on design outcomes and designers' creative capabilities warrants investigation. We conducted a within-s…
"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…