Eunseo Yang

Human-AI Interaction ResearcherHuman-AI Interaction 연구자

Hi, I'm Eunseo Yang.

I completed my M.S. in Human-AI Interaction and am currently working on applying Large Language Models (LLMs) to solve a variety of real-world challenges within industry.

Human-AI Interaction 석사 학위를 마치고, 현재는 산업 현장에서 대규모 언어 모델(LLM)을 활용해 다양한 실제 문제를 해결하는 일을 하고 있습니다.

My research interests lie in Conversational User Interface (CUI), context-aware systems, and user experience (UX). I am particularly interested in designing intelligent systems that adapt to people rather than requiring people to adapt to technology.

제 연구 관심사는 Conversational User Interface, Context-aware System, User eXperience입니다. 특히 사람이 기술에 맞추는 것이 아니라 기술이 사람에게 맞춰지는 지능형 시스템을 설계하는 데 관심이 많습니다.

I study how people naturally interact with technology in their everyday lives and explore how AI can seamlessly integrate into those interactions. My goal is to create human-centered experiences that make advanced technologies more accessible, intuitive, and meaningful for everyone.

사람들이 일상 속에서 기술과 자연스럽게 상호작용하는 방식을 연구하고, AI가 그 상호작용에 매끄럽게 녹아들 수 있는 방법을 탐구합니다. 제 목표는 첨단 기술을 누구에게나 더 접근하기 쉽고 직관적이며 의미 있게 만드는, 인간 중심의 경험을 만드는 것입니다.

About Me

Publications

* Equal contribution  ·  † Corresponding author* 공동 1저자  ·  † 교신저자

Leveraging Self-Disclosure and Utility Theory for Extracting Different Types of User Information with Conversational Agents

Leveraging Self-Disclosure and Utility Theory for Extracting Different Types of User Information with Conversational Agents

Eunseo Yang¹, Eunyeoul Lee¹, Yunjung Lee², Xiuyan Zhu², Uran Oh²†

User information disclosureConversational agentsInteraction design

International Journal of Advanced Smart Convergence · 2025

Screen-Aware Conversational Assistance for Enhancing Digital Device Accessibility: A Multi-modal Dialogue Pipeline for Real-Time Adaptive Guidance

Screen-Aware Conversational Assistance for Enhancing Digital Device Accessibility: A Multi-modal Dialogue Pipeline for Real-Time Adaptive Guidance

Eunseo Yang¹, Yoonjae Oh², Uran Oh²†

Human-Computer Interaction (HCI)Digital accessibilityElderlyUXConversational Agents

M.S. Thesis, Ewha Womans University · 2025

Striking the balance: Exploring levels of AI tutor proactivity in enhancing online self-paced learning

Striking the balance: Exploring levels of AI tutor proactivity in enhancing online self-paced learning

Eunseo Yang¹, Yeonji Jung²†

Conversational AgentsAI TutorProactivenessOnline Self-Paced LearningPersonalized LearningLearning Engagement

International Conference on Learning Analytics & Knowledge (LAK25) · 2025

EcoScript: A Real-Time Presentation Supporting Tool using a Speech Recognition Model

EcoScript: A Real-Time Presentation Supporting Tool using a Speech Recognition Model

Eunyeoul Lee¹*, Eunseo Yang¹*, Jinyoung Huh², Uran Oh²†

Speech-to-TextVoice InteractionPresentation ToolUX Design

IEEE IRI '24 · 2024

Understanding the Use of AI-Based Audio Generation Models by End-Users

Understanding the Use of AI-Based Audio Generation Models by End-Users

Jiyeon Han¹*, Eunseo Yang²*, Uran Oh²†

Empirical StudyUser ExperienceText-to-AudioSearch Engine

CHI EA '24, May 11–16, 2024, Honolulu, HI, USA · 2024

Machine Learning-Assisted Identification of Single-Layer Graphene via Color Variation Analysis

Machine Learning-Assisted Identification of Single-Layer Graphene via Color Variation Analysis

Eunseo Yang¹, Miri Seo, Hanee Rhee, Yugyeong Je, Hyunjeong Jeong, Sang Wook Lee†

Machine LearningGrapheneSupport Vector Machine

Nanomaterials · 2023

Classifiable Limiting Mass Change Detection in a Graphene Resonator Using Applied Machine Learning

Classifiable Limiting Mass Change Detection in a Graphene Resonator Using Applied Machine Learning

Miri Seo¹*, Eunseo Yang¹*, Dong Hoon Shin, Yugyeong Je, Chirlmin Joo, Kookjin Lee, Sang Wook Lee†

Applied Machine LearningDeep LearningGrapheneMass DetectionResonator

ACS Applied Electronic Materials · 2022