I am a postdoctoral research associate in the Department of Computer Science at North Carolina State University. I received a B.S. in Computer Science from Yonsei University in Seoul, South Korea, and worked for Samsung Electronics in South Korea for four and half years as a software engineer. I received a M.S. and Ph.D. in Computer Science under the direction of Dr. James Lester at North Carolina State University.
My research interests lie in Artificial Intelligence, especially addressing computational challenges in user modeling, such as player intent modeling and student knowledge/affect modeling in educational games, through which I aim to create highly adaptive interactive software. To achieve this research goal, I have examined a suite of multimodal data streams (e.g., behavioral gameplay data, physiological signals, bodily expressions) using machine learning techniques including deep neural networks, probabilistic graphical models, and collaborative filtering. Additionally, I’m interested in computational linguistics, particularly analyzing students’ natural language responses for tasks such as affect recognition, normalizing noisy text, and short answer assessment.
Education
Ph.D. Computer Science (2016)
North Carolina State University
M.S. Computer Science (2014)
North Carolina State University
B.S. Computer Science (2006)
Yonsei University, Seoul, South Korea
Honor and Awards
Nominated for best paper award in the thirteenth international conference on Intelligent Tutoring Systems, 2016
Nominated for best paper award in the seventeenth international conference on Artificial Intelligence in Education, 2015
Awarded second place in the constrained track of the shared task for text normalization in the ACL workshop on Noisy User-generated Text, 2015
Awarded Cum Laude, Yonsei University, 2006
Awarded Army Commendation Medal (ARCOM), Headquarters and Headquarters Company, Eighth United States Army, 2004
Recognized with an award in national mathematics contest for high school students, Yonsei University, 1999
Recognized with an award in Seoul mathematics contest for middle school students, the Metropolis of Seoul, 1996
Conference Papers
Pengcheng Wang, Jonathan Rowe, Wookhee Min, Bradford Mott, and James Lester. Interactive Narrative Personalization with Deep Reinforcement Learning. To appear in Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI 2017), Melbourne, Australia.
Wookhee Min, Megan Frankosky, Bradford Mott, Eric Wiebe, Kristy Elizabeth Boyer, and James Lester. Inducing Stealth Assessors from Game Interaction Data. To appear in Proceedings of the Eighteenth International Conference on Artificial Intelligence in Education (AIED 2017), Wuhan, China.
Lydia Pezzullo, Joseph Wiggins, Megan Frankosky, Wookhee Min, Kristy Elizabeth Boyer, Bradford Mott, Eric Wiebe, and James Lester. “Thanks Alisha, Keep in Touch”: Gender Effects and Engagement with Virtual Learning Companions. To appear in Proceedings of the Eighteenth International Conference on Artificial Intelligence in Education (AIED 2017), Wuhan, China.
Wookhee Min, Alok Baikadi, Bradford Mott, Jonathan Rowe, Barry Liu, Eun Young Ha, and James Lester. A generalized Multidimensional Evaluation Framework for Player Goal Recognition. In Proceedings of the Twelfth Annual AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE 2016), pp. 197-203, Burlingame, CA.
Wookhee Min, Bradford Mott, Jonathan Rowe, Barry Liu, and James Lester. Player Goal Recognition in Open-World Digital Games with Long Short-Term Memory Networks. In Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence (IJCAI 2016), pp. 2590-2596, New York, NY.
Wookhee Min, Joseph Wiggins, Lydia Pezzullo, Alexandria Vail, Kristy Elizabeth Boyer, Bradford Mott, Megan Frankosky, Eric Wiebe, and James Lester.Predicting Dialogue Acts for Intelligent Virtual Agents with Multimodal Student Interaction Data. In Proceedings of the Ninth International Conference on Educational Data Mining (EDM 2016), pp. 454-459, Raleigh, NC.
Andy Smith, Osman Aksit, Wookhee Min, Eric Wiebe, Bradford Mott, and James Lester. Integrating Real-Time Drawing and Writing Diagnostic Models: An Evidence-Centered Design Framework for Multimodal Science Assessment. In Proceedings of the Thirteenth International Conference on Intelligent Tutoring Systems (ITS 2016), pp. 165-175, Zagreb, Croatia. (Nominated for Best Paper Award)
Andy Smith, Wookhee Min, Bradford Mott, and James Lester. Diagrammatic Student Models: Modeling Student Drawing Performance with Deep Learning. In Proceedings of the Twenty-Third Conference on User Modeling, Adaptation, and Personalization (UMAP 2015), pp. 216-227, Dublin, Ireland.
Wookhee Min, Megan Frankosky, Bradford Mott, Jonathan Rowe, Eric Wiebe, Kristy Elizabeth Boyer, and James Lester. DeepStealth: Leveraging Deep Learning Models for Stealth Assessment in Game-based Learning Environments. In Proceedings of the Seventeenth International Conference on Artificial Intelligence in Education (AIED 2015), pp. 277-286, Madrid, Spain. (Nominated for Best Paper Award)
Wookhee Min, Eun Young Ha, Jonathan Rowe, Bradford Mott, and James Lester. Deep Learning-Based Goal Recognition in Open-Ended Digital Games. In Proceedings of the Tenth Annual Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE 2014), pp. 37-43, Raleigh, North Carolina.
Wookhee Min, Bradford Mott, Jonathan Rowe, and James Lester. Leveraging Semi-Supervised Learning to Predict Student Problem-Solving Performance in Narrative-Centered Learning Environments. In Proceedings of the Twelfth International Conference on Intelligent Tutoring Systems (ITS 2014), pp. 664-665, Honolulu, Hawaii.
Bradford Mott, Jonathan Rowe, Wookhee Min, Robert Taylor, and James Lester. Flare: An Open Source Toolkit for Creating Expressive User Interfaces for Serious Games. In Proceedings of the Ninth International Conference on the Foundations of Digital Games (FDG 2014), Fort Lauderdale, Florida.
Wookhee Min, Jonathan Rowe, Bradford Mott, and James Lester. Personalizing Embedded Assessment Sequences in Narrative-Centered Learning Environments: A Collaborative Filtering Approach. In Proceedings of the Sixteenth International Conference on Artificial Intelligence in Education (AIED 2013), pp. 369-378, Memphis, Tennessee.
Wookhee Min and Yun-Gyung Cheong. An Interactive-Content Technique Based Approach to Generating Personalized Advertisement for Privacy Protection. In Proceedings of the Thirteenth International Conference on Human-Computer Interaction (HCII 2009), pp. 185-191, San Diego, California.
Yun-Gyung Cheong, Yeo-Jin Kim, Wookhee Min, Eok-Soo Shim, and Jin-Young Kim. PRISM: A Framework for Authoring Interactive Narratives. In Proceedings of the First Joint International Conference on Interactive Digital Storytelling (ICIDS 2008),pp. 297-308, Erfurt, Germany.
Symposium and Workshop Papers
Wookhee Min, Bradford Mott, Jonathan Rowe, and James Lester. Deep LSTM-based Goal Recognition Models for Open-World Digital Games. To appear in Proceedings of the AAAI 2017 Workshop on Plan, Activity, and Intent Recognition (PAIR 2017), San Francisco, CA.
Wookhee Min and Bradford Mott. NCSU_SAS_WOOKHEE: A Deep Contextual Long-Short Term Memory Model for Text Normalization. In Proceedings of the Workshop on Noisy User-generated Text (WNUT 2015), pp. 111-119, Beijing, China.
Wookhee Min, Bradford Mott, and James Lester. Adaptive Scaffolding in an Intelligent Game-Based Learning Environment for Computer Science. In Proceedings of the Second Workshop on AI-supported Education for Computer Science (AIEDCS 2014), pp. 41-50, Honolulu, Hawaii.
Wookhee Min, Eok-Soo Shim, Yeo-Jin Kim, and Yun-Gyung Cheong. Planning-Integrated Story Graph for Interactive Narratives. In Proceedings of the Second ACM International Workshop on Story Representation, Mechanism and Context (SRMC 2008), pp. 27-32, Vancouver, BC, Canada.
Patents
Patents Issued
Normalizing Electronic Communications Using a Neural-Network Normalizer and a Neural-
Network Flagger. Samuel Leeman-Munk, Wookhee Min, Bradford Mott, James Lester, James Cox. Patent number: US 9552547 B2. Date of patent: Jan 24, 2017.
Web Server for Supporting Collaborative Animation Production Service and Method Thereof. Wook-hee Min, Yeo-jin Kim, Eok-soo Shim, Jin-young Kim. Patent number: US 9454284 B2. Date of patent: Sep 27, 2016.
Storage Medium, Apparatus, and Method to Author and Play Interactive Content. Yeo-Jin Kim, Yun-Gyung Cheong, Eok-Soo Shim, Wook-Hee Min. Patent number: US 9268774 B2. Date of patent: Feb 23, 2016.
Trusted Multi-Stakeholder Environment. Xinwen Zhang, Jean-Pierre Seifert, Wookhee Min, Onur Aciicmez. Patent number: US 8752130 B2. Date of patent: Jun 10, 2014.
Patents Pending
Determining Edit Operations for Normalizing Electronic Communications Using a Neural Network. Wookhee Min, Samuel Leeman-Munk, Bradford Mott, James Lester, James Cox. Publication number: US 2016/0350652 A1, Publication date: Dec 1, 2016.
Digital Apparatus and Method for Providing a User Interface to Produce Contents. Hyun Ju Shim, Yong Bang Ho, Bo Gyeong Kang, Kyung Soo Kwag, Dong Hoon Kim, Wook Hee Min. Publication number: US 2011/0239147 A1. Publication date: Sep 29, 2011.
Sponsor-based Advertising Apparatus and Method Using Extracted Affect. Wook Hee Min, Bo Gyeong Kang. Publication number: US 2011/0035283 A1. Publication date: Feb 10, 2011.
Animation System and Methods for Generating Animation Based on Text-based Data and User Information. Wook Hee Min, Bo Gyeong Kang. Publication number: US 2010/0302254 A1. Publication date: Dec 2, 2010.
Interactive Content Reproduction. Wook-Hee Min. Publication number: US 2010/0122300 A1. Publication date: May 13, 2010.
Program Committees
The 13th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE-17), October 5-9, 2017, Snowbird, Utah
The 3rd Workshop on Games and NLP (GAMNLP-14) Held at the Tenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE-14), October 3, 2014, Raleigh, NC
Projects
Engage: An intelligent game-based learning environment for teaching computer science principles to middle school students (from May 2012).
AIM: An intelligent game-based learning environment that performs affect-based dialogue adaptations for middle school students (from July 2015).