I am a Research Scientist in 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 student knowledge and intent modeling in game-based learning environments, through which I aim to create highly adaptive interactive software. In parallel, I have examined a suite of multimodal data streams (e.g., facial expressions, bodily expressions, physiological signals) via machine learning techniques including deep neural networks and probabilistic graphical models. Additionally, I’m interested in natural language processing, particularly analyzing students’ natural language interactions for tasks such as dialogue breakdown detection, 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 IEEE Conference on Games, 2019

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 competition for high school students, Yonsei University, 1999

Recognized with an award in Seoul mathematics competition for middle school students, the Metropolis of Seoul, 1996

Journal / Conference Papers

Wookhee Min, Megan Frankosky, Bradford Mott, Jonathan Rowe, Andy Smith, Eric Wiebe, Kristy Elizabeth Boyer, and James Lester. DeepStealth: Game-Based Learning Stealth Assessment with Deep Neural Networks. IEEE Transactions on Learning Technologies (TLT), in press.

Kyungjin Park, Bradford Mott, Wookhee Min, Kristy Elizabeth Boyer, Eric Wiebe, and James Lester. Generating Educational Game Levels with Multistep Deep Convolutional Generative Adversarial Networks. Proceedings of the 2019 IEEE Conference on Games (CoG), pp. 345-352, London, United Kingdom, 2019.

Andrew Emerson, Andy Smith, Cody Smith, Fernando Rodríguez, Wookhee Min, Eric Wiebe, Bradford Mott, Kristy Elizabeth Boyer, and James Lester. Predicting Early and Often: Predictive Student Modeling for Block-Based Programming Environments. Proceedings of the Twelfth International Conference on Educational Data Mining (EDM), pp. 39-48, Montreal, Canada, 2019.

Wookhee Min, Kyungjin Park, Joseph Wiggins, Bradford Mott, Eric Wiebe, Kristy Elizabeth Boyer, and James Lester. Predicting Dialogue Breakdown in Conversational Pedagogical Agents with Multimodal LSTMs. Proceedings of the Twentieth International Conference on Artificial Intelligence in Education (AIED), pp. 195-200, Chicago, Illinois, 2019.

Joseph Wiggins, Mayank Kulkarni, Wookhee Min, Kristy Elizabeth Boyer, Bradford Mott, Eric Wiebe, and James Lester. Take the Initiative: Mixed Initiative Dialogue Policies for Pedagogical Agents in Game-Based Learning Environments. Proceedings of the Twentieth International Conference on Artificial Intelligence in Education (AIED), pp. 314-318, Chicago, Illinois, 2019.

Joseph Wiggins, Mayank Kulkarni, Wookhee Min, Bradford Mott, Kristy Elizabeth Boyer, Eric Wiebe, and James Lester. Affect-based Early Prediction of Player Mental Demand and Engagement for Educational Games. Proceedings of the Fourteenth Annual AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE), pp. 243-249, Edmonton, Canada, 2018.

Pengcheng Wang, Jonathan Rowe, Wookhee Min, Bradford Mott, and James Lester. High-Fidelity Simulated Players for Interactive Narrative Planning. Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI), pp. 3884-3890, Stockholm, Sweden, 2018.

Bita Akram, Wookhee Min, Eric Wiebe, Bradford Mott, Kristy Elizabeth Boyer, and James Lester. Improving Stealth Assessment in Game-based Learning with LSTM-based Analytics. Proceedings of the Eleventh International Conference on Educational Data Mining (EDM), pp. 208-218, Buffalo, New York, 2018.

Wookhee Min, Bradford Mott, Jonathan Rowe, Robert Taylor, Eric Wiebe, Kristy Elizabeth Boyer, and James Lester. Multimodal Goal Recognition in Open-World Digital Games. Proceedings of the Thirteenth Annual AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE), pp. 80-86, Snowbird, Utah, 2017.

Pengcheng Wang, Jonathan Rowe, Wookhee Min, Bradford Mott, and James Lester. Simulating Player Behavior for Data-Driven Interactive Narrative Personalization. Proceedings of the Thirteenth Annual AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE), pp. 255-261, Snowbird, Utah, 2017.

Pengcheng Wang, Jonathan Rowe, Wookhee Min, Bradford Mott, and James Lester. Interactive Narrative Personalization with Deep Reinforcement Learning. Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI), pp. 3852-3858, Melbourne, Australia, 2017.

Wookhee Min, Megan Frankosky, Bradford Mott, Eric Wiebe, Kristy Elizabeth Boyer, and James Lester. Inducing Stealth Assessors from Game Interaction Data. Proceedings of the Eighteenth International Conference on Artificial Intelligence in Education (AIED), pp. 212-223, Wuhan, China, 2017.

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. Proceedings of the Eighteenth International Conference on Artificial Intelligence in Education (AIED), pp. 299-310, Wuhan, China, 2017.

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. Proceedings of the Twelfth Annual AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE), pp. 197-203, Burlingame, California, 2016.

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. Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence (IJCAI), pp. 2590-2596, New York City, New York, 2016.

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. Proceedings of the Ninth International Conference on Educational Data Mining (EDM), pp. 454-459, Raleigh, North Carolina, 2016.

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. Proceedings of the Thirteenth International Conference on Intelligent Tutoring Systems (ITS), pp. 165-175, Zagreb, Croatia, 2016. (Nominated for Best Paper Award)

Andy Smith, Wookhee Min, Bradford Mott, and James Lester. Diagrammatic Student Models: Modeling Student Drawing Performance with Deep Learning. Proceedings of the Twenty-Third Conference on User Modeling, Adaptation, and Personalization (UMAP), pp. 216-227, Dublin, Ireland, 2015.

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. Proceedings of the Seventeenth International Conference on Artificial Intelligence in Education (AIED), pp. 277-286, Madrid, Spain, 2015. (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. Proceedings of the Tenth Annual Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE), pp. 37-43, Raleigh, North Carolina, 2014.

Wookhee Min, Bradford Mott, Jonathan Rowe, and James Lester. Leveraging Semi-Supervised Learning to Predict Student Problem-Solving Performance in Narrative-Centered Learning Environments. Proceedings of the Twelfth International Conference on Intelligent Tutoring Systems (ITS), pp. 664-665, Honolulu, Hawaii, 2014.

Bradford Mott, Jonathan Rowe, Wookhee Min, Robert Taylor, and James Lester. Flare: An Open Source Toolkit for Creating Expressive User Interfaces for Serious Games. Proceedings of the Ninth International Conference on the Foundations of Digital Games (FDG), Fort Lauderdale, Florida, 2014.

Wookhee Min, Jonathan Rowe, Bradford Mott, and James Lester. Personalizing Embedded Assessment Sequences in Narrative-Centered Learning Environments: A Collaborative Filtering Approach. Proceedings of the Sixteenth International Conference on Artificial Intelligence in Education (AIED), pp. 369-378, Memphis, Tennessee, 2013.

Wookhee Min and Yun-Gyung Cheong. An Interactive-Content Technique Based Approach to Generating Personalized Advertisement for Privacy Protection. Proceedings of the Thirteenth International Conference on Human-Computer Interaction (HCII), pp. 185-191, San Diego, California, 2009.

Yun-Gyung Cheong, Yeo-Jin Kim, Wookhee Min, Eok-Soo Shim, and Jin-Young Kim. PRISM: A Framework for Authoring Interactive Narratives. Proceedings of the First Joint International Conference on Interactive Digital Storytelling (ICIDS), pp. 297-308, Erfurt, Germany, 2008.

Symposium and Workshop Papers

Randall Spain, Michael Geden. Wookhee Min, Bradford Mott, and James Lester. Towards computational models of team effectiveness with natural language processing. Presented at the AIED’19 Workshop on Approaches and Challenges in Team Tutoring, Chicago, IL, 2019.

Jonathan Rowe, Wookhee Min, Pengcheng Wang, Bradford Mott, James Lester. Data-Driven User Modeling in Serious Games with Deep Learning. In J. Capman (Chair), Looking Under the Hood: Making Use of Trace Data. Symposium conducted at the 34th Annual Meeting of the Society for Industrial and Organizational Psychology (SIOP), National Harbor, MD, 2019.

Joseph Wiggins, Mayank Kulkarni, Wookhee Min, Kristy Boyer, Bradford Mott, Eric Wiebe, and James Lester. User Affect and No-Match Dialogue Scenarios: An Analysis of Facial Expression. Proceedings of the ICMI 2018 Workshop on Multimodal Analyses enabling Artificial Agents in Human-Machine Interaction (MA³HMI), pp. 6-14, Boulder, Colorado, 2018.

Wookhee Min, Bradford Mott, Jonathan Rowe, and James Lester. Deep LSTM-based Goal Recognition Models for Open-World Digital Games. Presented at the AAAI’17 Workshop on Plan, Activity, and Intent Recognition (PAIR), San Francisco, California, 2017.

Wookhee Min and Bradford Mott. NCSU_SAS_WOOKHEE: A Deep Contextual Long-Short Term Memory Model for Text Normalization. Proceedings of the ACL’15 Workshop on Noisy User-generated Text (W-NUT), pp. 111-119, Beijing, China, 2015.

Wookhee Min, Bradford Mott, and James Lester. Adaptive Scaffolding in an Intelligent Game-Based Learning Environment for Computer Science. Proceedings of the ITS’14 Workshop on AI-supported Education for Computer Science (AIEDCS), pp. 41-50, Honolulu, Hawaii, 2014.

Wookhee Min, Eok-Soo Shim, Yeo-Jin Kim, and Yun-Gyung Cheong. Planning-Integrated Story Graph for Interactive Narratives. Proceedings of the ACM MM’08 Workshop on Story Representation, Mechanism and Context (SRMC), pp. 27-32, Vancouver, Canada, 2008.

Patents

Patents Issued
Animation System and Methods for Generating Animation Based on Text-based Data and User Information. Wook Hee Min, Bo Gyeong Kang. Publication number: US 9665563 B2. Publication date: May 30, 2017.

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.

Interactive Content Reproduction. Wook-Hee Min. Publication number: US 2010/0122300 A1. Publication date: May 13, 2010.