Juho Kim

Winder: Linking Speech and Visual Objects to Support Communication in Asynchronous Collaboration

2021

Team members commonly collaborate on visual documents remotely and asynchronously. Particularly, students are frequently restricted to this setting as they often do not share work schedules or physical workspaces. As communication in this setting has …

Teach AI How to Code: Using Large Language Models as Teachable Agents for Programming Education

2023 · arXiv (Cornell University)

This work investigates large language models (LLMs) as teachable agents for learning by teaching (LBT). LBT with teachable agents helps learners identify knowledge gaps and discover new knowledge. However, teachable agents require expensive programming of …

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

2024 · Proceedings of the ACM on Human-Computer Interaction

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 …

Beyond Prompts: Learning from Human Communication for Enhanced AI Intent Alignment

2024 · arXiv (Cornell University)

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 intensified the significance of this problem, as interactions …