7 citations · 7 across the 6 of their papers we have counts for
6 papers
Assessing the Applicability of Existing Design Recommendations to AI Companion Design: A Multi-Method Study
Soobin Cho, Deveshi Modi, Divya Mavinkurve +2
With the rapid proliferation of large language model (LLM)-based systems, AI companions have emerged as conversational agents designed to cultivate emotional connection rather than…
Delegating Before Learning: Where Generative AI Sits in Students' Professional Communication
Jared Ren, Soobin Cho
We conducted an interview study with twelve students on their use of generative AI in academic communication. Students delegated professional messages to AI most where the pressure…
How Much Can AI Understand? Toward AI-Assisted Sensemaking of Collaborative Discussion in Groups with Shared History
Soobin Cho, Mark Zachry, David W. McDonald
AI tools that support collaborative discussion typically treat the discussion as a standalone task, focusing only on its content and setting aside the social context of the group h…
A Framework for AI-Supported Mediation in Community-based Online Collaboration
Soobin Cho, Mark Zachry, David W. McDonald
Online spaces involve diverse communities engaging in various forms of collaboration, which naturally give rise to discussions, some of which inevitably escalate into conflict or d…
LLMs in Wikipedia: Investigating How LLMs Impact Participation in Knowledge Communities
Moyan Zhou, Soobin Cho, Loren Terveen
Large language models (LLMs) are reshaping knowledge production as community members increasingly incorporate them into their contribution workflows. However, participating in know…
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…