I am a Ph.D. student in Management Information Systems at the Fox School of Business, Temple University.
My research interests lie in Cybersecurity, Human-Technology Interaction, and Privacy Enhancing Technologies. I am broadly interested in how individuals perceive and respond to digital threats and privacy risks, and how the design of AI-mediated systems shapes user behavior and trust.
Prior to my doctoral studies, I received my M.S. in Business and Technology Management from KAIST (2023) and my B.S. in PR & Advertising from Sookmyung Women's University (2016).
- Aug 2026 Paper accepted at AMCIS 2026 — When Anthropomorphic Realism Backfires
- Jun 2026 Paper accepted at SCECR 2026 — When Anthropomorphic Realism Backfires
- Spring 2026 Received Temple University RAIS Grant ($1,000)
- Aug 2025 Paper accepted at AMCIS 2025 (Top 25%, SIG HCI) — When Recommendation Know You Too Well
present
Ph.D. in Management Information Systems
Fox School of Business, Temple University · Philadelphia, PA
DoctoralM.S. in Business and Technology Management
College of Business, KAIST · Daejeon, South Korea
Master'sB.S. in PR & Advertising
Sookmyung Women's University · Seoul, South Korea
UndergraduateJun 2026
When Anthropomorphic Realism Backfires: Surface vs. Interpretive Ambiguity in AI-mediated IT Support Requests
32nd Americas Conference on Information Systems (AMCIS)
Statistical Challenges in Electronic Commerce Research (SCECR)
When Recommendation Know You Too Well: Explanation Types, Privacy Concerns, and Eye-tracking Evidence in Personalized Systems
31st Americas Conference on Information Systems (AMCIS)
Top 25% Paper · SIG HCI (Human-Computer Interaction)
Measuring the Emotional Impact of Phishing Emails through Face Reader and Eye Tracker
Production and Operations Management Society (POMS)
Conference PaperResearch Advancement Impact Seedfunding (RAIS) — $1,000
Temple University
Research Advancement Impact Seedfunding (RAIS) — $2,000
Temple University
Jun 2024
Korea Institute of Science and Technology Information (KISTI)
Seoul, South Korea
Nov 2020
HS Ad Inc.
Seoul, South Korea
Examines how varying levels of anthropomorphic realism in AI agents affect user behavior during IT support interactions, distinguishing between surface-level and interpretive ambiguity cues.
Investigates how different explanation types in personalized recommendation systems affect users' privacy concerns, using eye-tracking methodology to capture behavioral responses.
Employs physiological and eye-tracking measures to quantify users' emotional responses to phishing email attempts, contributing to our understanding of cybersecurity threat perception.