51 citations · 59 across the 8 of their papers we have counts for
8 papers
Supporting Tutors in the Gig Economy with Automated Feedback: A Case Study on Ringle
Yeon Su Park, Sieun Kim, Keighley Overbay +4
The rise of online tutoring platforms in the gig economy has made education more scalable, flexible, and on-demand. These platforms rely on learner evaluations as the primary feedb…
Authorship Drift: How Self-Efficacy and Trust Evolve During LLM-Assisted Writing
Yeon Su Park, Nadia Azzahra Putri Arvi, Seoyoung Kim +1
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…
IntentFlow: Investigating Fluid Dynamics of Intent Communication in Generative AI
Yoonsu Kim, Kihoon Son, Seoyoung Kim +2
Generative AI shifts interaction toward intent-based outcome specification, despite user intents being inherently vague, fluid, and evolving. While a growing body of HCI research h…
Applying the Gricean Maxims to a Human-LLM Interaction Cycle: Design Insights from a Participatory Approach
Yoonsu Kim, Brandon Chin, Kihoon Son +2
While large language models (LLMs) are increasingly used to assist users in various tasks through natural language interactions, these interactions often fall short due to LLMs' li…
Less Talk, More Trust: Understanding Players' In-game Assessment of Communication Processes in League of Legends
Juhoon Lee, Seoyoung Kim, Yeon Su Park +3
In-game team communication in online multiplayer games has shown the potential to foster efficient collaboration and positive social interactions. Yet players often associate commu…
LearnerVoice: A Dataset of Non-Native English Learners' Spontaneous Speech
Haechan Kim, Junho Myung, Seoyoung Kim +3
Prevalent ungrammatical expressions and disfluencies in spontaneous speech from second language (L2) learners pose unique challenges to Automatic Speech Recognition (ASR) systems.…
Beyond Prompts: Learning from Human Communication for Enhanced AI Intent Alignment
Yoonsu Kim, Kihoon Son, Seoyoung Kim +1
AI intent alignment, ensuring that AI produces outcomes as intended by users, is a critical challenge in human-AI interaction. The emergence of generative AI, including LLMs, has i…
Understanding Users' Dissatisfaction with ChatGPT Responses: Types, Resolving Tactics, and the Effect of Knowledge Level
Yoonsu Kim, Jueon Lee, Seoyoung Kim +2
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 model…