1 citations · 3 across the 10 of their papers we have counts for
11 papers
DocuTeam: Mixed-Initiative Multi-Agent Discussions around Evolving Documents
Heechan Lee, Juhyeon Choi, Tae Soo Kim +2
In open-ended problem solving, collaborators often rely on discussion to surface concerns, challenge perspectives, and refine shared work as it evolves. While AI agents are increas…
TIDES: A Longitudinal Bilingual Dataset for Modeling Multi-Party Social Dynamics
Heechan Lee, Jeonggyu Kang, Junho Myung +3
Group conversations are fundamental to human collaboration, yet standard large language models (LLMs) still struggle with the complexities of multi-party interaction. This challeng…
SLALOM: Simulation Lifecycle Analysis via Longitudinal Observation Metrics for Social Simulation
Juhoon Lee, Joseph Seering
Large Language Model (LLM) agents offer a potentially-transformative path forward for generative social science but face a critical crisis of validity. Current simulation evaluatio…
AssurAI: Experience with Constructing Korean Socio-cultural Datasets to Discover Potential Risks of Generative AI
Chae-Gyun Lim, Seung-Ho Han, EunYoung Byun +51
The rapid evolution of generative AI necessitates robust safety evaluations. However, current safety datasets are predominantly English-centric, failing to capture specific risks i…
How Far I'll Go: Imagining Futures of Conversational AI with People with Visual Impairments Through Design Fiction
Jeanne Choi, Dasom Choi, Sejun Jeong +2
People with visual impairments (PVI) use a variety of assistive technologies to navigate their daily lives, and conversational AI (CAI) tools are a growing part of this toolset. Mu…
CrisisNews: A Dataset Mapping Two Decades of News Articles on Online Problematic Behavior at Scale
Jeanne Choi, DongJae Kang, Yubin Choi +2
As social media adoption grows globally, online problematic behaviors increasingly escalate into large-scale crises, requiring an evolving set of mitigation strategies. While HCI r…
Prototyping Digital Social Spaces through Metaphor-Driven Design: Translating Spatial Concepts into an Interactive Social Simulation
Yoojin Hong, Martina Di Paola, Braahmi Padmakumar +3
Social media platforms are central to communication, yet their designs remain narrowly focused on engagement and scale. While researchers have proposed alternative visions for onli…
Fostering Collective Discourse: A Distributed Role-Based Approach to Online News Commenting
Yoojin Hong, Yersultan Doszhan, Joseph Seering
Current news commenting systems are designed based on implicitly individualistic assumptions, where discussion is the result of a series of disconnected opinions. This often result…
Inject, Fork, Compare: Defining an Interaction Vocabulary for Multi-Agent Simulation Platforms
HwiJoon Lee, Martina Di Paola, Yoo Jin Hong +2
LLM-based multi-agent simulations are a rapidly growing field of research, but current simulations often lack clear modes for interaction and analysis, limiting the "what if" scena…
Botender: Supporting Communities in Collaboratively Designing AI Agents through Case-Based Provocations
Tzu-Sheng Kuo, Sophia Liu, Quan Ze Chen +4
AI agents, or bots, serve important roles in online communities. However, they are often designed by outsiders or a few tech-savvy members, leading to bots that may not align with…
Evalet: Evaluating Large Language Models through Functional Fragmentation
Tae Soo Kim, Heechan Lee, Yoonjoo Lee +2
Practitioners increasingly rely on Large Language Models (LLMs) to evaluate generative AI outputs through "LLM-as-a-Judge" approaches. However, these methods produce holistic score…