Erin McGowan

According to our database, Erin McGowan authored at least 7 papers between 2022 and 2025.

Collaborative distances:

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

2025

HuBar: A Visual Analytics Tool to Explore Human Behavior Based on fNIRS in AR Guidance Systems.

Sonia Castelo, João Rulff, Parikshit Solunke, Erin McGowan, Guande Wu, Irán R. Román, Roque Lopez, Bea Steers, Qi Sun, Juan Pablo Bello, Bradley Feest, Michael Middleton, Ryan McKendrick, Cláudio T. Silva

IEEE Trans. Vis. Comput. Graph., January, 2025

Design and Implementation of the Transparent, Interpretable, and Multimodal (TIM) AR Personal Assistant.

Erin McGowan, João Rulff, Sonia Castelo, Guande Wu, Shaoyu Chen, Roque Lopez, Bea Steers, Irán R. Román, Fábio Felix Dias, Jing Qian, Parikshit Solunke, Michael Middleton, Ryan McKendrick, Cláudio T. Silva

IEEE Computer Graphics and Applications, 2025

2024

: Visualization of AI-Assisted Task Guidance in AR.

Sonia Castelo, João Rulff, Erin McGowan, Bea Steers, Guande Wu, Shaoyu Chen, Irán R. Román, Roque Lopez, Ethan Brewer, Chen Zhao, Jing Qian, Kyunghyun Cho, He He, Qi Sun, Huy T. Vo, Juan Pablo Bello, Michael Krone, Cláudio T. Silva

IEEE Trans. Vis. Comput. Graph., January, 2024

HuBar: A Visual Analytics Tool to Explore Human Behaviour based on fNIRS in AR guidance systems.

Sonia Castelo, João Rulff, Parikshit Solunke, Erin McGowan, Guande Wu, Irán R. Román, Roque Lopez, Bea Steers, Qi Sun, Juan Pablo Bello, Bradley Feest, Michael Middleton, Ryan McKendrick, Cláudio T. Silva

CoRR, 2024

ARPOV: Expanding Visualization of Object Detection in AR with Panoramic Mosaic Stitching.

Erin McGowan, Ethan Brewer, Cláudio T. Silva

Proceedings of the 37th SIBGRAPI Conference on Graphics, Patterns and Images, 2024

2023

ARGUS: Visualization of AI-Assisted Task Guidance in AR.

Sonia Castelo, João Rulff, Erin McGowan, Bea Steers, Guande Wu, Shaoyu Chen, Irán R. Román, Roque Lopez, Ethan Brewer, Chen Zhao, Jing Qian, Kyunghyun Cho, He He, Qi Sun, Huy T. Vo, Juan Pablo Bello, Michael Krone, Cláudio T. Silva

CoRR, 2023

2022

A Physics-Informed Convolutional Neural Network with Custom Loss Functions for Porosity Prediction in Laser Metal Deposition.

Erin McGowan, Vidita Gawade, Weihong Grace Guo

Sensors, 2022