Seoyoung Kim

schoolKorea Advanced Institute of Science and Technologybar_chart#1496 Global Rank

Total Papers

HCI Rank

#1496

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 '252nd 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 '241st 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 AuthorHuman-LLM Collaboration +1

Understanding Users’ Dissatisfaction with ChatGPT Responses: Types, Resolving Tactics, and the Effect of Knowledge Level

Large language models (LLMs) with chat-based capabilities, such as ChatGPT, are widely used in various workflows. However, due to a limited understanding of these large-scale models, users struggle to use this technology and experience different kinds of dissatisfaction. Researchers have introduced several methods, su…

CHI '231st AuthorAging-Friendly Technology Design +2

How Older Adults Use Online Videos for Learning

Online videos are a promising medium for older adults to learn. Yet, few studies have investigated what, how, and why they learn through online videos. In this study, we investigated older adults' motivation, watching patterns, and difficulties in using online videos for learning by (1) running interviews with 13 olde…

IUI '224th AuthorOnline Learning & MOOC Platforms +1

SoftVideo: Improving the Learning Experience of Software Tutorial Videos with Collective Interaction Data

Many people rely on tutorial videos when learning how to perform tasks using complex software. Watching the video for instructions and applying them to target software require frequent going back-and-forth between the two, which incurs cognitive overhead. Furthermore, users need to constantly compare the two to see if…

CHI '201st AuthorAI-Assisted Decision-Making & Automation +2

Understanding Users' Perception Towards Automated Personality Detection with Group-specific Behavioral Data

Thanks to advanced sensing and logging technology, automatic personality assessment (APA) with users' behavioral data in the workplace is on the rise. While previous work has focused on building APA systems with high accuracy, little research has attempted to understand users' perception towards APA systems. To fill t…

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