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, Raleigh, NC

M.S., Computer Science (2014)
North Carolina State University, Raleigh, NC

B.S., Computer Science (2006)
Yonsei University, Seoul, South Korea
Honor and Awards
Recognized with Best Student Paper Award at the International Conference on Educational Data Mining, 2020

Nominated for the best paper award at the IEEE Conference on Games, 2019

Nominated for the best paper award at the International Conference on Intelligent Tutoring Systems, 2016

Nominated for best paper award at the International Conference on Artificial Intelligence in Education, 2015

Recognized with the second place in the shared task for text normalization in the ACL Workshop on Noisy User-generated Text, 2015

Recognized with Cum Laude, Yonsei University, 2006

Recognized with 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
Journal / Conference Papers
Jay Pande, Wookhee Min, Randall D Spain, Jason D Saville, and James Lester.
Robust Team Communication Analytics with Transformer-Based Dialogue Modeling.  Proceedings of the Twenty-Fourth International Conference on Artificial Intelligence in Education, pp. 639-650, Tokyo, Japan, 2023.

Anisha Gupta, Dan Carpenter, Wookhee Min, Bradford Mott, Krista Glazewski, Cindy Hmelo-Silver, and James Lester. Enhancing Stealth Assessment in Collaborative Game-Based Learning with Multi-task Learning. Proceedings of the Twenty-Fourth International Conference on Artificial Intelligence in Education, pp. 304-315, Tokyo, Japan, 2023.

Jessica Vandenberg, Wookhee Min, Veronica Cateté, Danielle Boulden, and Bradford Mott. Leveraging Game Design Activities for Middle Grades AI Education in Rural Communities. Proceedings of the Eighteenth International Conference on the Foundations of Digital Games, pp. 1-4, Lisbon, Portugal, 2023.

Andrew Emerson, Wookhee Min, Jonathan Rowe, Roger Azevedo, and James Lester. Multimodal predictive student modeling with multi-task transfer learning. Proceedings of the Thirteenth International Learning Analytics and Knowledge Conference, pp. 333-344, Arlington, Texas, 2023.

Andrew Emerson, Wookhee Min, Roger Azevedo, and James Lester. Early prediction of student knowledge in game‐based learning with distributed representations of assessment questions. British Journal of Educational Technology, 54(1), 40-57, 2023.

Anisha Gupta, Dan Carpenter, Wookhee Min, Jonathan Rowe, Roger Azevedo, and James Lester. Enhancing multimodal goal recognition in open-world games with natural language player reflections. Proceedings of the Eighteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, pp. 37-44, Pomona, CA, 2022.

Kyungjin Park, Hyunwoo Sohn, Wookhee Min, Bradford Mott, Krista Glazewski, Cindy E Hmelo-Silver, and James Lester. Disruptive talk detection in multi-party dialogue within collaborative learning environments with a regularized user-aware network. Proceedings of the Twenty-third Annual Meeting of the Special Interest Group on Discourse and Dialogue, pp. 490-499, Edinburgh, UK, 2022.

Nathan Henderson, Wookhee Min, Andrew Emerson, Jonathan Rowe, Seung Lee, James Minogue, and James Lester. Enhancing Stealth Assessment in Game-Based Learning Environments with Generative Zero-Shot Learning. Proceedings of the Fifteenth International Conference on Educational Data Mining, pp. 171-182, Durham, England, 2022.

Nathan Henderson, Wookhee Min, Jonathan Rowe, and James Lester. Enhancing Multimodal Affect Recognition with Multi-Task Affective Dynamics Modeling. Proceedings of the Ninth International Conference on Affective Computing and Intelligent Interaction, pp. 1-8, Virtual, 2021.

Halim Acosta, Nathan Henderson, Jonathan Rowe, Wookhee Min, James Minogue, and James Lester. What’s Fair is Fair: Detecting and Mitigating Encoded Bias in Multimodal Models of Museum Visitor Attention. Proceedings of the Twenty-Third International Conference on Multimodal Interaction, pp. 258-267, Montreal, Canada, 2021.

Nathan Henderson, Wookhee Min, Andrew Emerson, Jonathan Rowe, Seung Lee, James Minogue, and James Lester. Early Prediction of Museum Visitor Engagement with Multimodal Adversarial Domain Adaptation. Proceedings of the Fourteenth International Conference on Educational Data Mining, pp. 93-104, Paris, France, 2021. (Nominated for Best Paper Award)

Wookhee Min, Randall Spain, Jason Saville, Bradford Mott, Keith Brawner, Joan Johnston, and James Lester. Multidimensional Team Communication Modeling for Adaptive Team Training: A Hybrid Deep Learning and Graphical Modeling Framework. Proceedings of the Twenty-Second International Conference on Artificial Intelligence in Education, pp. 293-305, Virtual, 2021.

Andrew Emerson, Nathan Henderson, Wookhee Min, Jonathan Rowe, James Minogue, and James Lester. Multimodal Trajectory Analysis of Visitor Engagement with Interactive Science Museum Exhibits. Proceedings of the Twenty-Second International Conference on Artificial Intelligence in Education, pp. 151-155, Virtual, 2021.

Kyungjin Park, Hyunwoo Sohn, Bradford Mott, Wookhee Min, Asmalina Saleh, Krista Glazewski, Cindy Hmelo-Silver, and James Lester. Detecting Disruptive Talk in Student Chat-Based Discussion within Collaborative Game-Based Learning Environments. Proceedings of the Eleventh International Learning Analytics and Knowledge Conference, pp. 405-415, Virtual, 2021.

Andrew Emerson, Nathan Henderson, Jonathan Rowe, Wookhee Min, Seung Lee, James Minogue, and James Lester. Early Prediction of Visitor Engagement in Science Museums with Multimodal Learning Analytics. Proceedings of the Twenty-Second ACM International Conference on Multimodal Interaction, pp. 107-116, Utrecht, the Netherlands, 2020.

Nathan Henderson, Wookhee Min, Jonathan Rowe, and James Lester. Enhancing Affect Detection in Game-Based Learning Environments with Multimodal Conditional Generative Modeling. Proceedings of the Twenty-Second ACM International Conference on Multimodal Interaction, pp. 134-143, Utrecht, the Netherlands, 2020.

Wookhee Min, Bradford Mott, Kyungjin Park, Sandra Taylor, Bita Akram, Eric Wiebe, Kristy Elizabeth Boyer, and James Lester. Promoting Computer Science Learning with Block-Based Programming and Narrative-Centered Gameplay. Proceedings of the IEEE Conference on Games, pp. 654-657, Osaka, Japan, 2020.

Nathan Henderson, Wookhee Min, Jonathan Rowe, and James Lester. Multimodal Player Affect Modeling with Auxiliary Classifier Generative Adversarial Networks. Proceedings of the Sixteenth Annual AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, pp. 224-230, Worchester, Massachusetts, 2020.

Nathan Henderson, Vikram Kumaran, Wookhee Min, Bradford Mott, Ziwei Wu, Danielle Boulden, Trudi Lord, Frieda Reichsman, Chad Dorsey, Eric Wiebe, and James Lester. Enhancing Student Competency Models for Game-Based Learning with a Hybrid Stealth Assessment Framework. Proceedings of the Thirteenth International Conference on Educational Data Mining (EDM), pp. 92-103, Ifrane, Morocco, 2020. (Best Student Paper Award)

Andrew Emerson, Nathan Henderson, Jonathan Rowe, Wookhee Min, Seung Lee, James Minogue, and James Lester. Investigating Visitor Engagement in Interactive Science Museum Exhibits with Multimodal Bayesian Hierarchical Models. Proceedings of the Twenty-First International Conference on Artificial Intelligence in Education (AIED), pp. 165-176, Ifrane, Morocco, 2020.

Kyungjin Park, Bradford Mott, Wookhee Min, Eric Wiebe, Kristy Elizabeth Boyer, and James Lester. Generating Game Levels to Develop Computer Science Competencies in Game-Based Learning Environments. Proceedings of the Twenty-First International Conference on Artificial Intelligence in Education (AIED), pp. 240-245, Ifrane, Morocco, 2020.

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), 13(2), 312-325, 2020.

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. (Nominated for Best Paper Award)

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

Jay Pande, Stephen Paul, Wookhee Min, Randall Spain, and James Lester. Improving Dialogue Classification Models to Support Generalizable Team Communication Analytics in GIFT. Proceedings of the 11th Annual Generalized Intelligent Framework for Tutoring (GIFT) Users Symposium (GIFTSym11), pp. 127-135, Orlando, FL, 2023.

Randall Spain, Wookhee Min, Jason Saville, Andrew Emerson, Jay Pande, Keith Brawner, and James Lester. Leveraging Advances in Natural Language Processing to Support Team Communication Analytics in GIFT. Proceedings of the 10th Annual Generalized Intelligent Framework for Tutoring (GIFT) Users Symposium (GIFTSym10), pp. 147-156, Virtual, 2022.

Anisha Gupta, Dan Carpenter, Wookhee Min, Jonathan Rowe, Roger Azevedo, and James Lester. Multimodal Multi-Task Stealth Assessment for Reflection-Enriched Game-Based Learning. Proceedings of the First International Workshop on Multimodal Artificial Intelligence in Education, pp. 94-102, Virtual, 2021.

Randall Spain, Wookhee Min, Jason Saville, Keith Brawner, Bradford Mott, and James Lester. Automated Assessment of Teamwork Competencies using Evidence-Centered Design-Based Natural Language Processing Approach. Proceedings of the 9th Annual Generalized Intelligent Framework for Tutoring (GIFT) Users Symposium (GIFTSym9), pp. 140-149, Virtual, 2021.

Randall Spain, Wookhee Min, Jason Saville, Bradford Mott, Keith Brawner, Joan Johnston, Gregory Goodwin, and James Lester. Team Communication Analytics Using Automated Speech Recognition. Proceedings of the 8th Annual Generalized Intelligent Framework for Tutoring (GIFT) Users Symposium (GIFTSym8), pp. 145-154, Virtual, 2020.

Sandra Taylor, Wookhee Min, Bradford Mott, Andrew Emerson, Andy Smith, Eric Wiebe, and James Lester. IntelliBlox: A Toolkit for Integrating Block-Based Programming into Game-Based Learning Environments. Proceedings of IEEE Blocks and Beyond Workshop (B&B), pp. 55-58, 2019.

Ziwei Wu, Bradford Mott, Wookhee Min, Robert Taylor, Danielle Boulden, Trudi Lord, Frieda Reichsman, Chad Dorsey, Eric Wiebe, and James Lester. Predicting Challenge Outcomes for Students in a Digital Game for Learning Genetics. Presented at the EDM’19 Workshop on EDM & Games: Leveling Leveling Up Engaged Learning with Data-Rich Analytics, Montreal, Canada, 2019.

Jonathan Rowe, Wookhee Min, Seung Lee, Bradford Mott, and James Lester. Toward Data-Rich Models of Visitor Engagement with Multimodal Learning Analytics. Presented at the AIED’19 Workshop on Adaptive and Intelligent Technologies for Informal Learning (AITIL), Chicago, IL, 2019.

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.