AI Researcher · HCI · Educator
I study how people talk to AI—and why it matters.
Bridging HCI research, AI engineering, and enterprise education to design intelligence that understands human relationships, not just queries.
// About
"Don't work on the surface. Say 'Why'."
I started with a question: when someone picks up their phone and types a prompt into an AI, what are they really doing? What emotions, relationships, and social cues are embedded in those words?
My research lives at the intersection of AI engineering and Human-Computer Interaction. I study how emotional and relational context shapes the way people formulate AI queries—and what that means for next-generation agent design.
Currently pursuing an MS in Management of Technology at Hanyang University's Graduate School of Technology (MOT), where I published at ACM CHI SRC 2026.
Currently Open To
Collaboration & Opportunities
// Research
Active Research Projects — Currently Investigating
In Progress
This project develops an intelligent interface that makes ambivalent cognitive states visible and orchestrable during AI-assisted design workflows. By surfacing moments of tension between human intent and AI suggestion, it aims to strengthen designer agency—ensuring AI remains a tool, not a replacement, for creative judgment.
In Progress
A long-term research initiative designing an Agentic AI operating framework that enables fluid collaboration between human teams, robotic systems, and organizational units. Grounded in social-cognitive theory, the system addresses interoperability challenges that arise when AI agents must navigate human norms, roles, and relational dynamics at scale.
Published Work
ACM CHI SRC 2026 · Accepted
Drawing on Construal Level Theory, we demonstrated that givers in close relationships produce contextually rich, emotionally loaded prompts, while distant-relationship givers construct sparse, norm-centered queries—with design implications for Relational Adaptive UX.
View Paper →IEEE RO-MAN 2026 (Kitakyushu) · Late-Breaking Work
Proposed a multi-agent synthetic data generation pipeline to map information asymmetry in self-service technology interactions, informing when and how AI mediation should intervene to support user decision-making.
HCI Korea 2026 · Oral Presentation
Compared three LLM explanation modes (intent-based, profile-based, feature-based) across givers' product-situation fit perception and preference. Intent-centered explanations outperformed on relational congruence; feature-based excelled on comprehension depth.
KOSIME 2026 Summer Conference · Korea Technology Management Economics Society
An exploratory study extending the Relational Adaptive UX framework to Agentic AI gift recommendation, examining how relationship intimacy shapes both giver and recipient behavioral intent within autonomous agent-mediated services.
Korean Ergonomics Society 2025 · Student Paper Award
Exploratory study examining how gift-intention-based AI explanations minimized information overload while feature-focused explanations maximized product comprehension—revealing an efficiency–effectiveness trade-off for adaptive interface design.
🏅 Encouragement AwardKTEM 2025 · Hanyang MOT Special Session
A case-based integrated analysis examining the conditions under which organizations transition from digital transformation to genuine AI-nization, with strategic implications for enterprise AI deployment.
// Experience
Junior AI Researcher & Educator
COBSLAB
Designed and delivered practical AI/DX curricula for Korea's largest enterprises—covering RAG pipelines, GenAI applications, machine learning, and data visualization. Led the KT G-level RAG + AI Agent project and co-authored the KT AICE Basic textbook.
AI Ambassador
National AI Competition
Appointed as national public ambassador for Korea's premier AI competition, promoting AI literacy and participation across the country.
Visiting Researcher
University of Sussex — SPRU
Participated in the Global Innovation Leadership program at the Science Policy Research Unit (SPRU), University of Sussex Business School. Focused on Science, Technology, and Innovation — Advanced Policy and Management.
Teaching Assistant (TA)
Hanyang University MOT
TA for multiple graduate courses: AI+X (Prof. Ho-Kyung Ryu), AI-Driven NPD Process for HD Hyundai (Prof. Jieun Han), and Data Visualization with Tableau (Prof. Jieun Han).
Researcher
MODULAB TSJ LAB
Investigated the gap between legal and social justice through ChatGPT-based sentiment analysis of YouTube comments (published, Korea Contents Association). Co-authored a machine-learning sentiment approach to the legal–social justice gap on social media, currently under review for SCI-indexed publication.
// Enterprise Clients
// Education
M.S. — Management of Technology
Hanyang University Graduate School of Technology (MOT)
Feb 2025 — Mar 2027 (Expected)
Research focus: AI × HCI. Published at ACM CHI SRC 2026. TA for graduate AI courses. Active researcher on two funded projects in Human Agency and Agentic AI. Participant in Global Innovation Leadership program at University of Sussex.
Visiting Research
University of Sussex Business School — SPRU
September 2025
Engaged with cutting-edge STI (Science, Technology & Innovation) policy research in the UK. Broadening international academic network for future PhD and collaborative opportunities.
// Certifications
ADSP — Advanced Data Analytics Semi-Professional
Korea Data Industry Promotion Agency
November 2025
Adding Knowledge to LLMs
NVIDIA Deep Learning Institute
October 2025 · ID: Bg2Zpz1-QYm4_oz7rheibw
Claude Code in Action
Anthropic
April 2026 · ID: quiv7yusrxff
Introduction to Model Context Protocol
Anthropic
April 2026 · ID: snc3yh8pd9m7
Introduction to Agent Skills · Building with the Claude API
Anthropic
2026
🏅 Korean Ergonomics Society — Student Paper Award
2025 Fall Conference — Encouragement Award
November 2025
🏆 KIHASA D-MoneyCare Competition
Korea Institute for Health and Social Affairs — Director's Award
July 2025 · Fullstack AI anomaly-detection system for dementia financial protection
// Contact
I'm actively exploring PhD programs and visiting research positions in HCI, CSCW, and AI—particularly in North America, Europe, and East Asia.
If you work in AI × human behavior research, or you're building products where relationships matter as much as algorithms, I'd love to hear from you.
Also happy to connect on enterprise AI education, curriculum design, or co-authorship opportunities.
Languages
🇰🇷 Korean — Native
🇺🇸 English — Advanced (Near-Native)
🇯🇵 Japanese — Elementary
// Advisor
Jieun Han
Associate Professor
Graduate School of Technology & Innovation Management
Hanyang University, Seoul
Prof. Han specializes in human-centered design, service development, and evaluation, with a focus on robotics, VR/AR, digital healthcare, and big data visualization. Her work bridges design theory and emerging technology—spanning intelligent healthscape design, smart servicescape innovation, and AI-driven UX assessment frameworks. She brings a distinctly empirical, systems-level perspective to how people experience technology in everyday and clinical environments.
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