Nathan L. Henderson

According to our database, Nathan L. Henderson authored at least 18 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

It's Good to Explore: Investigating Silver Pathways and the Role of Frustration During Game-Based Learning.

Nidhi Nasiar, Andres Felipe Zambrano, Jaclyn Ocumpaugh, Stephen Hutt, Alexis Goslen, Jonathan P. Rowe, James C. Lester, Nathan L. Henderson, Eric N. Wiebe, Kristy Elizabeth Boyer, Bradford W. Mott

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2023

Enhancing Engagement Modeling in Game-Based Learning Environments with Student-Agent Discourse Analysis.

Alex Goslen, Nathan L. Henderson, Jonathan P. Rowe, Jiayi Zhang, Stephen Hutt, Jaclyn Ocumpaugh, Eric N. Wiebe, Kristy Elizabeth Boyer, Bradford W. Mott, James C. Lester

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2023

2022

Enhancing Stealth Assessment in Game-Based Learning Environments with Generative Zero-Shot Learning.

Nathan L. Henderson, Halim Acosta, Wookhee Min, Bradford W. Mott, Trudi Lord, Frieda Reichsman, Chad Dorsey, Eric N. Wiebe, James C. Lester

Proceedings of the 15th International Conference on Educational Data Mining, 2022

Investigating Student Interest and Engagement in Game-Based Learning Environments.

Jiayi Zhang, Stephen Hutt, Jaclyn Ocumpaugh, Nathan L. Henderson, Alex Goslen, Jonathan P. Rowe, Kristy Elizabeth Boyer, Eric N. Wiebe, Bradford W. Mott, James C. Lester

Proceedings of the Artificial Intelligence in Education - 23rd International Conference, 2022

Leveraging Student Goal Setting for Real-Time Plan Recognition in Game-Based Learning.

Alex Goslen, Dan Carpenter, Jonathan P. Rowe, Nathan L. Henderson, Roger Azevedo, James C. Lester

Proceedings of the Artificial Intelligence in Education - 23rd International Conference, 2022

2021

What's Fair is Fair: Detecting and Mitigating Encoded Bias in Multimodal Models of Museum Visitor Attention.

Halim Acosta, Nathan L. Henderson, Jonathan P. Rowe, Wookhee Min, James Minogue, James C. Lester

Proceedings of the ICMI '21: International Conference on Multimodal Interaction, 2021

Early Prediction of Museum Visitor Engagement with Multimodal Adversarial Domain Adaptation.

Nathan L. Henderson, Wookhee Min, Andrew Emerson, Jonathan P. Rowe, Seung Y. Lee, James Minogue, James C. Lester

Proceedings of the 14th International Conference on Educational Data Mining, 2021

Multimodal Trajectory Analysis of Visitor Engagement with Interactive Science Museum Exhibits.

Andrew Emerson, Nathan L. Henderson, Wookhee Min, Jonathan P. Rowe, James Minogue, James C. Lester

Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

Enhancing Multimodal Affect Recognition with Multi-Task Affective Dynamics Modeling.

Nathan L. Henderson, Wookhee Min, Jonathan P. Rowe, James C. Lester

Proceedings of the 9th International Conference on Affective Computing and Intelligent Interaction, 2021

2020

Enhancing Affect Detection in Game-Based Learning Environments with Multimodal Conditional Generative Modeling.

Nathan L. Henderson, Wookhee Min, Jonathan P. Rowe, James C. Lester

Proceedings of the ICMI '20: International Conference on Multimodal Interaction, 2020

Early Prediction of Visitor Engagement in Science Museums with Multimodal Learning Analytics.

Andrew Emerson, Nathan L. Henderson, Jonathan P. Rowe, Wookhee Min, Seung Y. Lee, James Minogue, James C. Lester

Proceedings of the ICMI '20: International Conference on Multimodal Interaction, 2020

Enhancing Student Competency Models for Game-Based Learning with a Hybrid Stealth Assessment Framework.

Nathan L. Henderson, Vikram Kumara, Wookhee Min, Bradford W. Mott, Ziwei Wu, Danielle Boulden, Trudi Lord, Frieda Reichsman, Chad Dorsey, Eric N. Wiebe, James C. Lester

Proceedings of the 13th International Conference on Educational Data Mining, 2020

Multimodal Player Affect Modeling with Auxiliary Classifier Generative Adversarial Networks.

Nathan L. Henderson, Wookhee Min, Jonathan P. Rowe, James C. Lester

Proceedings of the Sixteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2020

Improving Affect Detection in Game-Based Learning with Multimodal Data Fusion.

Nathan L. Henderson, Jonathan P. Rowe, Luc Paquette, Ryan S. Baker, James C. Lester

Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

Investigating Visitor Engagement in Interactive Science Museum Exhibits with Multimodal Bayesian Hierarchical Models.

Andrew Emerson, Nathan L. Henderson, Jonathan P. Rowe, Wookhee Min, Seung Y. Lee, James Minogue, James C. Lester

Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

2019

Sensor-based Data Fusion for Multimodal Affect Detection in Game-based Learning Environments.

Nathan L. Henderson, Jonathan P. Rowe, Bradford W. Mott, James C. Lester

Proceedings of the Joint Proceedings of the Workshops of the 12th International Conference on Educational Data Mining co-located with the 12th International Conference on Educational Data Mining, 2019

4D Affect Detection: Improving Frustration Detection in Game-Based Learning with Posture-Based Temporal Data Fusion.

Nathan L. Henderson, Jonathan P. Rowe, Bradford W. Mott, Keith Brawner, Ryan S. Baker, James C. Lester

Proceedings of the Artificial Intelligence in Education - 20th International Conference, 2019

Improving Sensor-Based Affect Detection with Multimodal Data Imputation.

Nathan L. Henderson, Andrew Emerson, Jonathan P. Rowe, James C. Lester

Proceedings of the 8th International Conference on Affective Computing and Intelligent Interaction, 2019