Chaehee Park

Applied AI Researcher · Multimodal Intelligence · AI for Social Impact

AI & Big Data Team, The Seoul Institute
Seoul, Republic of Korea

Last updated: July 29, 2026

I am a researcher in the AI & Big Data Team at The Seoul Institute. My research lies at the intersection of large language models, multimodal artificial intelligence, and public-sector innovation . I am particularly interested in translating advanced AI methods into deployable systems for psychological assessment, urban safety, public policy, and knowledge-intensive administrative services.

Research Interests

Large Language Models, Retrieval-Augmented Generation, and Agentic AI
Multimodal AI for Psychological Assessment and Human–AI Interaction
Trustworthy LLM Evaluation and Knowledge-Intensive AI Systems
AI for Social Impact, Urban Safety, and Public Policy

Professional Experience

The Seoul Institute Apr. 2025 – Present

Researcher, AI & Big Data Team · Seoul, Republic of Korea

Conduct applied research on public-sector AI agents, LLM-based administrative support systems, retrieval-augmented generation, and small language model adoption strategies .
Develop data-driven methodologies for urban safety, geospatial risk analysis, crime prediction, and public safety policy .
Contribute to AI-enabled crime prevention systems, including online grooming detection, stalking-risk response, and intelligent public protection services.
Support international smart-city research and urban safety initiatives, including public safety data analysis and CPTED-oriented projects for Niterói, Brazil.

NCSOFT Jun. 2022 – Sep. 2022

Research Assistant, Language AI Team · Seongnam, Republic of Korea

Conducted research on Aspect-Based Sentiment Analysis and constructed task-specific annotated datasets.
Developed named entity recognition and sentiment-analysis resources for financial, sports, and English-language news.
Curated question-answering datasets for persona-based conversational agents.

Education

Sungkyunkwan University Mar. 2023 – Feb. 2025

M.S. in Applied Artificial Intelligence · Seoul, Republic of Korea

Advisor: Jinyoung Han
Thesis: Developing a Draw-A-Person-in-the-Rain Assessment System Using a Multimodal Large Language Model
[Thesis]

Sangmyung University Mar. 2019 – Feb. 2023

B.S. in Human-Centered Artificial Intelligence
Double Major in Applied Artificial Intelligence · Seoul, Republic of Korea

Publications

Journal Articles

Machine Learning-Based Depression Screening Model from Pre-Drawn Structured Mandala Colorings

Se-Ryun Park^†, Jonghan Kim^†, Ujin Jeon, Chaehee Park, Sang-Shin Lee, Jinyoung Han^*, and Yu-Jung Cha^*

Current Psychology, 2026.

SSCI JCR 2025 IF 2.7

Developing an AI-based Explainable Expert Support System for Art Therapy

Jiwon Kang^†, Jiwon Kim^†, Migyeong Yang^†, Chaehee Park^†, Taeeun Kim, Hayeon Song, and Jinyoung Han^*

ACM Transactions on Interactive Intelligent Systems, 14(4), 1–23, 2025.

SCIE Equal Contribution [Paper] [DOI]

International Conference Papers

BetaDAPR: An AI-based Expert Support System for Art Therapists with Qualitative and Quantitative Assistance

Migyeong Yang, Chaehee Park, Hyunseon Won, Taeeun Kim, Hayeon Song, and Jinyoung Han^*

The 29th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW) , 2026.

CSCW 2026

CheckDAPR: An MLLM-based Sketch Analysis System for Draw-A-Person-in-the-Rain Assessments

Chaehee Park^†, Migyeong Yang^†, Taeeun Kim, Hayeon Song, and Jinyoung Han^*

ACM International Conference on Information and Knowledge Management (CIKM) , 2025.

CIKM 2025 Co-First Author [Code]

PracticeDAPR: An AI-based Education-Supported System for Art Therapy

Migyeong Yang, Chaehee Park, Jiwon Kang, Jiwon Kim, Taeeun Kim, Hayeon Song, and Jinyoung Han^*

ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW) , 2025.

CSCW 2025 [Paper] [DOI]

SceneDAPR: A Scene-Level Free-Hand Drawing Dataset for Web-based Psychological Drawing Assessment

Jiwon Kang, Jiwon Kim, Migyeong Yang, Chaehee Park, Taeeun Kim, Hayeon Song, and Jinyoung Han^*

Proceedings of the ACM Web Conference (WWW), 2024.

WWW 2024 [Paper] [Code]

Domestic Conference Papers

A Spatiotemporal Prediction Model for Vehicle-Related Crime Using Urban Public Safety Data

Chaehee Park, Junchul Kim^*

2026 Summer Conference of the Korean Institute of Broadcast and Media Engineers (KIBME) , Jun. 20, 2026.

First Author Paper in Korean

A Feasibility Study of an Automated Barrier-Free Park Assessment Framework Using Geospatial Information and Computer Vision

Chaehee Park, Jeongok Kim^*

2025 Annual Conference of the Korean Society of Civil Engineers (KSCE) , Nov. 13, 2025.

First Author Paper in Korean

A Study on an Ensemble Model for Predicting Prompts from Images Generated by Diffusion Models

Chaehee Park, Migyeong Yang, Jiwon Kim, et al.

2023 Summer Conference of the Korean Institute of Broadcast and Media Engineers (KIBME) , Jeju, Republic of Korea, Jun. 2023.

First Author Paper in Korean

On Deep Generative Models Explaining Rationales for Emotionally Supportive Conversations

Eunhye Jeong^†, Chaehee Park^†, Hyejin Hong, et al.

2022 Fall Conference of the Korean Society for Emotion and Sensibility (KOSES) , Busan, Republic of Korea, Oct. 2022.

Co-First Author Paper in Korean

^† Equal contribution. ^* Corresponding author.

Academic Service

Reviewer, ACM CHI Conference on Human Factors in Computing Systems — Posters , 2026
Reviewer, Cognitive Processing, 2026

Teaching Experience

Sungkyunkwan University Summer 2023

Teaching Assistant

Undergraduate Research Program

Sangmyung University 2021 – 2022

Teaching Assistant

Computational Thinking and Understanding Data, Spring 2021
Algorithms and Game Content, Fall 2021
Computational Thinking and Understanding Data, Spring 2022