Yeon Su Park

schoolKorea Advanced Institute of Science and Technologybar_chart#3418 Global Rank

Total Papers

HCI Rank

#3418

Research Areas

Years Active

Recent Publications

Authorship Drift: How Self-Efficacy and Trust Evolve During LLM-Assisted Writing

Large language models (LLMs) are increasingly used as collaborative partners in writing. However, this raises a critical challenge of authorship, as users and models jointly shape text across interaction turns. Understanding authorship in this context requires examining users’ evolving internal states during collabora…

CHI '253rd AuthorGame UX & Player Behavior +1

Less Talk, More Trust: Understanding Players' In-game Assessment of Communication Processes in League of Legends

In-game team communication in online multiplayer games has shown the potential to foster efficient collaboration and positive social interactions. Yet players often associate communication within ad hoc teams with frustration and wariness. Though previous works have quantitatively analyzed communication patterns at sc…

CSCW '242nd AuthorSession 2d: Technology and the Experiences of Migrant and Minority Communities

Is the Same Performance Really the Same?: Understanding How Listeners Perceive ASR Results Differently According to the Speaker’s Accent

Research suggests that automatic speech recognition (ASR) systems, which automatically convert speech to text, show different performances according to various input classes (e.g., accent, age), requiring attention to building fairer AI systems that would perform similarly across various input classes. However, would…

IUI '243rd AuthorAI-Assisted Decision-Making & Automation +1

DynamicLabels: Supporting Informed Construction of Machine Learning Label Sets with Crowd Feedback

Label set construction—deciding on a group of distinct labels—is an essential stage in building a supervised machine learning (ML) application, as a badly designed label set negatively affects subsequent stages, such as training dataset construction, model training, and model deployment. Despite its significance, it i…

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