2023 Publications
Maram, S., Pfau, J., Villareale, J., Teng, Z., Zhu, J., and Seif El-Nasr, M. (2023). "From Pixels to Insights": Player Patterns from Domain-Based Spatial Abstraction in Games. Conference on Games 2023(COG).
Maram, S., Villareale, J., Fox, B., Zhu, J., and Seif El-Nasr, M. (2023). "Parallel OPM: A Visualization System for Analyzing Peers Board States for Gameplay Reflection". Conference on Games 2023(COG).
Kleinman, E., Villareale, J., Shergadwala, M., Teng, Z., Bryant, A., Zhu, J., Seif El-Nasr, M. (2023). "What else can I do?" Examining the Impact of Community Data on Adaptation and Quality of Reflection in an Educational Game. CHI 2023. [PDF]
2022 Publications
Kleinman, E., Habibi, R., Yao, Y., Gayle, C., and Seif El-Nasr, M. (2022). A Time and Phase for Everything" - Towards A Self Regulated Learning Perspective on Computational Support for Esports. CHIPlay.
Villareale, J., Harteveld, C., Zhu, J. (2022). "I Want To See How Smart This AI Really Is”: Player Mental Model Development of an Adversarial AI Player. In CHIPlay: Annual Symposium on Computer-Human Interaction in Play, November 2–5, 2022, Bremen, Germany. ACM, New York, NY, USA.
Kleinman, E., Villareale, J., Shergadwala, M., Teng, Z., Bryant, A., Zhu, J., and Seif El-Nasr, M. (2022). Towards an Understanding of how Players Make Meaning from Post-Play Process Visualizations. IFIP-ICEC.
Teng, Z., Pfau, J., Maram, S. S., Seif El-Nasr, M. (2022). Player Segmentation with INSPECT: Revealing Systematic Behavior Differences within MMORPG and Educational Game Case Studies. CHI Play Work In Progress.
Kleinman, E., Shergadwala, M., Seif El-Nasr, M. (2022). Kills, Deaths, and (Computational) Assists: Identifying Opportunities for Computational Support in Esport Learning. 2022 CHI Conference on Human Factors in Computing Systems.
Kleinman, E., Shergadwala, M., Teng, Z., Villareale, J., Bryant, A., Zhu, J., Seif El-Nasr, M. (2022). Analyzing Students' Problem-Solving Sequences: A Human-in-the-loop Approach. Journal of Learning Analytics. [pdf]
Zhu, J. and Seif El-Nasr, M. (2021). Open Player Modeling: Empowering Players through Data Transparency. Experimental AI in Games workshop at AI and Interactive Digital Entertainment.
I. Grabe, M. González-Duque, S. Risi, and J. Zhu. (2022). Towards a Framework for Human-AI Interaction Patterns inCo-Creative GAN Applications. Proceeding of the 3rd Workshop on Human-AI Co-Creation with Generative Models (HAI-GEN ‘22). ACM IUI Workshops.
2021 Publications
Kleinman, E., Gayle, C., & Seif El-Nasr, M. (2021). “Because I'm Bad at the Game!” A Microanalytic Study of Self Regulated Learning in League of Legends. Frontiers in Psychology, 5570.
Kleinman, E., Preetham, N., Teng, Z., Bryant, A., and Seif El-Nasr, M. (2021). "What Happened Here!?" Towards a Taxonomy for User Interaction with Spatio-Temporal Game Data Visualization.Proc. ACM Hum.-Comput. Interact.5, CHI PLAY, Article 260 (September 2021) [PDF]
Kleinman, E., Seif El-Nasr, M.. (2021). Using Data to "Git Gud": A Push for a Player-Centric approach to the Use of Data in Esports, In EHPHCI: Esports and High Performance HCI Workshop, 2021 CHI Conference on Human Factors in Computing Systems. [PDF]
I. Grabe, J. Zhu, and M. Agirrezabal. (2021). Fashion Style Generation: \\Evolutionary Search with Gaussian Mixture Models in the Latent Space. Proceedings of the 10th International Conference on Artificial Intelligence in Music, Sound, Art and Design (EvoMUSART ‘21). Best Student Paper Nomination.
J. Zhu, D.H. Dallal, R.C. Gray, J. Villareale, S. Ontañón, E.M. Forman, D. Arigo. (2021). Personalization Paradox in Behavior Change Apps: Lessons from a Social Comparison-Based Personalized App for Physical Activity. ACM PACM on Human Computer Interaction.
S.M. Manasse, E.W. Lampe, A.S. Juarascio, J. Zhu, and E.M. Forman. (2021). Using virtual reality to train inhibitory control and reduce binge eating: A proof-of-concept study. Appetite.
Myers, L. F.L. Pedro, A. Acosta-Ruiz, A. Canossa and J. Zhu. (2021). Try, Try, Try Again: Sequence Analysis of Interactions with a Voice User Interface. Proceedings of the ACM Conference of Conversational User Interfaces (CUI’21), 2021. (Honorable Mention Paper Award)
R. C. Gray, J. Zhu and S. Ontañón. (2021). Multiplayer Modeling via Multi-Armed Bandits. Proceedings of the IEEE Conference of Games (CoG’21)
M. Löwe, J. Villareale, E. Freed, A. Sladek, J. Zhu, and S. Risi. (2021). Dealing with Adversarial Player Strategies in the Neural Network Game iNNk through Ensemble Learning. in Proceedings of the Foundation of Digital Games Conference (FDG’21). (Best Paper Award)
J. Zhu, J. Villareale, N. Javvaji, S. Risi, M. Löwe, R. Weigelt, and C. Harteveld. (2021). Player-AI Interaction: What Neural Network Games RevealAbout AI as Play. Proceedings of the 2021 ACM Conference on Human Factors in Computing Systems (CHI ’21).
S. Ontañón and J. Zhu. (2021). The Personalization Paradox: the Conflict between Accurate User Models and Personalized Adaptive Systems. Proceedings of the 26th Annual Conference on Intelligent User Interface (IUI 2021).
J. Zhu and M. Seif El-Nasr. (2021). Open Player Modeling: Empowering Players through Data Transparency. Proceedings of AIIDE Workshop on Experimental AI in Games (ExAG ’21).
J. Villereale and J. Zhu. (2021). Understanding Mental Models of AI through Player-AI Interaction. HCXAI ’21: ACM CHI Workshop on Operationalizing Human-Centered Perspectives in Explainable AI, Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems (CHI EA ’21).
2020 Publications
Villareale, Jennifer, Colan Beimer, Magy Seif El-Nasr, Jichen Zhu. (2020). Toward Improving Reflection in Game-Based Learning: A Survey of Programming Games. In Proceedings of the 15th International Conference on the Foundations of Digital Games, 2020. [PDF]
C. Gray, J. Zhu and S. Ontañón. (2020). Regression Oracles and Exploration Strategies for Short-Horizon Multi-Armed Bandits. Proceedings of the 2020 IEEE Conference of Games (COG ’20).
C. Gray, J. Zhu, D. Arigo, E. Forman and S. Ontañón,. (2020). Player Modeling via Multi-armed Bandits. Proceedings of the Fifteenth International Conference on the Foundations of Digital Games (FDG ’20).
Zhu and S. Ontañón. (2020). Player-Centered AI for Automatic Game Personalization: Open Problems. Proceedings of the Fifteenth International Conference on the Foundations of Digital Games (FDG ’20). (Best Paper Award)
Villareale, C. F. Biemer, M. S. El-Nasr and J. Zhu. (2020). Reflection in Game-Based Learning: A Survey of Programming Games. Proceedings of the Fifteenth International Conference on the Foundations of Digital Games (FDG ’20).
2019 Publications
J. Zhu and S. Ontañón. (2019). Experience Management in Multi-player Games. Proceedings of the IEEE Conference on Games (COG ’19).
J. Villareale, R. C. Gray, A. Furqan, T. Fox, and J. Zhu. (2019). Enhancing Social Exergames through Idle Game Design. Proceedings of the Fourteenth International Conference on the Foundations of Digital Games (FDG ’19), August 26–30, 2019, San Luis Obispo, CA, USA.
J. Zhu,K. Bright, A. Furqan, J. Nebolsky, B. Char, B. Smith, J. Villareale, and S. Ontañón. (2019). Programming in Game Space: How to Represent Parallel Programming Concepts in an Educational Game. Proceedings of the 2019 International Conference on the Foundations of Digital Games (FDG ’19), San Luis Obispo, USA.
C. Myers, A. Furqan, D. Grethlein, S. Ontañónand J. Zhu. (2019). Modeling Behavior Patterns with an Unfamiliar Voice User Interface. Proceedings of the 27th ACM Conference On User Modelling, Adaptation And Personalization(UMAP), Larnaca/ Cyprus.
C. Myers, A. Furqan and J. Zhu. (2019). The Impact of User Characteristics and Preferences on Performance with an Unfamiliar Voice User Interface. Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI’19), Glasgow, UK.
J. Xie, C. Myers and J. Zhu. (2019). Interactive Visualizer to Facilitate Game Designers in Understanding Machine Learning. Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems Extended Abstracts (CHI’19 EA), Glasgow, UK.
C. Myers. (2019). Adaptive Suggestions to Increase Learnability forVoice User Interfaces. Proceedings of the 2019 Conference on Human Information Interaction & Retrieval (IUI’19), Los Angeles, USA..
C. Myers. (2019). Learning Styles as a Framework for Voice User Interface Design. in Proceedings of Mapping Theoretical and Methodological Perspectives for Understanding Speech Interface Interactions (SpeechInteraction), Glasgow, UK, 2019
K. Alderfer, J. Zhu, E. Freed, B. Smith, B. Char and S. Ontañón. (2019). Parallel: Facilitate Learning Concurrent and Parallel Programming, Learning, Education & Games: 100 Games to Use in the Classroom, (Vol. 3), K. Schrier, Eds., Pittsburgh, The ETC Press.
2018 Publications
J. Zhu, T. Day, Y. Feng, J. Nebolsky, A. Furqan, K. Caro, R. Gray. (2018). Towards Extending Social Exergame Engagement with Agents. Companion of the 2018 ACM Conference on Computer Supported Cooperative Work and Social Computing(CSCW 2018), Jersey City, NJ, 2018, pp. 349-352.
P. Kantharaju, K. Alderfer, J. Zhu, B. Char, B. Smith, and S. Ontañón. (2018). Tracing Player Knowledge in a Parallel Programming Educational Game. Proceedings of the Fourteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE-18), Edmonton, Canada, 2018, forthcoming.
J. Zhu, A. Liapis Simpson, S. Risi, R. Bidarra, and G. M. Youngblood. (2018). Explainable AI for Designers: A Human-Centered Perspective on Mixed-Initiative Co-Creation. Proceedings of the 2018 IEEE Conference on Computational Intelligence and Games (CIG’18), Maastricht, The Netherlands.
PS Sockolow, M. Joppa M, and J. Zhu. (2018). Assessment of evaluation frameworks for design of a sexual risk prevention game for black adolescent girls. Stud Health Technol Inform. 2018; 250:164-168. In: Rotegård A.K. et al. (Eds.) Proceedings of the 14th International Congress on Nursing Informatics(NI 2018). 2018 June 6-8, Guadalajara, Mexico. 2018 IMIA and IOS Press.
K. Caro, Y. Feng, T. Day, E. Freed, B. Fox, and J. Zhu. (2018). Understanding the Effect of Existing Positive Relationships on a Social Motion-based Game for Health. Proceedings of 12th EAI International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth 2018), New York, USA, forthcoming. (Acceptance rate: 24%)
C. Myers, A. Furqan, J. Nebolsky, K. Caro and J. Zhu. (2018). Patterns for How Users Overcome Obstacles in Voice User Interfaces. Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI’18), Montreal, Canada, 2018, Paper No. 6.
K. Aldefer, B. Smith, S. Ontanon, B. Char, J. Nebolsky, J. Zhu, A. Furqan, E. Freed, J. Patterson, J. Valls-Vargas. (2018). Lessons Learned from an Interactive Educational Computer Game About Concurrent Programming. Proceedings of the 2018 Special Interest Group in Computer Science Education of the Association for Computing Machinery Symposium (ACM SIGCSE 2018), pp. 1077-1077.
C. Myers, A. Furqan and J. Zhu. (2018). Adaptable Utterances in Voice User Interfaces to Increase Learnability,. proceedings of the 6thWorkshop on Interacting with Smart Objects (SmartObjects), Montreal, Canada, 2018, no. 2082, pp.44–49.
For earlier work on this project, please consult Drexel's PXL lab website.
Working Prototype of the system, showing accurate and inaccurate links and providing recommendations.
Explaining the design decisions of the system.
Initial version of the OPM system which was built over a node-edge visualziation system called Glyph.
Explaining how the board states of the game are abstracted using a graph embedding.