Yoonjoo Lee

schoolKorea Advanced Institute of Science and Technologybar_chart#1139 Global Rank

Total Papers

HCI Rank

#1139

Research Areas

Years Active

Recent Publications

Evalet: Evaluating Large Language Models through Functional Fragmentation

Practitioners increasingly rely on Large Language Models (LLMs) to evaluate generative AI outputs through "LLM-as-a-Judge" approaches. However, these methods produce holistic scores that obscure which specific elements influenced the assessments. We propose functional fragmentation, a method that dissects each output…

CHI '243rd AuthorHuman-LLM Collaboration +2

VIVID: Human-AI Collaborative Authoring of Vicarious Dialogues from Lecture Videos

The lengthy monologue-style online lectures cause learners to lose engagement easily. Designing lectures in a “vicarious dialogue” format can foster learners’ cognitive activities more than monologue-style. However, designing online lectures in a dialogue style catered to the diverse needs of learners is laborious for…

CHI '242nd AuthorHuman-LLM Collaboration +1

EvalLM: Interactive Evaluation of Large Language Model Prompts on User-Defined Criteria

By simply composing prompts, developers can prototype novel generative applications with Large Language Models (LLMs). To refine prototypes into products, however, developers must iteratively revise prompts by evaluating outputs to diagnose weaknesses. Formative interviews (N=8) revealed that developers invest signifi…

CHI '241st AuthorHuman-LLM Collaboration +1

PaperWeaver: Enriching Topical Paper Alerts by Contextualizing Recommended Papers with User-collected Papers

With the rapid growth of scholarly archives, researchers subscribe to "paper alert" systems that periodically provide them with recommendations of recently published papers that are similar to previously collected papers. However, researchers sometimes struggle to make sense of nuanced connections between recommended…

UIST '232nd AuthorHuman-LLM Collaboration

Cells, Generators, and Lenses: Design Framework for Object-Oriented Interaction with Large Language Models

Large Language Models (LLMs) have become the backbone of numerous writing interfaces with the goal of supporting end-users across diverse writing tasks. While LLMs reduce the effort of manual writing, end-users may need to experiment and iterate with various generation configurations (e.g., inputs and model parameters…

CHI '231st AuthorConversational Chatbots +2

DAPIE: Interactive Step-by-Step Explanatory Dialogues to Answer Children’s Why and How Questions

Children acquire an understanding of the world by asking "why'' and "how'' questions. Conversational agents (CAs) like smart speakers or voice assistants can be promising respondents to children's questions as they are more readily available than parents or teachers. However, CAs' answers to "why'' and "how'' question…

CHI '221st AuthorIntelligent Tutoring Systems & Learning Analytics +1

Promptiverse: Scalable Generation of Scaffolding Prompts Through Human-AI Hybrid Knowledge Graph Annotation

Online learners are hugely diverse with varying prior knowledge, but most instructional videos online are created to be one-size-fits-all. Thus, learners may struggle to understand the content by only watching the videos. Providing scaffolding prompts can help learners overcome these struggles through questions and hi…

CHI '211st AuthorOnline Learning & MOOC Platforms +1

Personalizing Ambience and Illusionary Presence: How People Use “Study with Me” Videos to Create Effective Studying Environments

“Study with me” videos contain footages of people studying for hours, in which social components like conversations or informational content like instructions are absent. Recently, they became increasingly popular on video-sharing platforms. This paper provides the first broad look into what “study with me” videos are…

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