Eunseo Yang
Eunseo Yang

Human-AI Interaction Researcher

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.

My research interests lie in Voice User Interfaces (VUI), 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.

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.

About Me

Publications

* Equal contribution  ·  † Corresponding author

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

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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

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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

DOI
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

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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

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