Hi, my name is Nathan. I am a fourth-year Ph.D. student at the Human-Computer Interaction Institute at Carnegie Mellon University. I am advised by Chris Harrison and am a member of the Future Interfaces Group.

My research interests involve designing the next generation of interactive hardware technologies to address existing limitations in performance, capability, and usability. New interfaces should not just fix the shortcomings reported by users of current ones but also enable previously impossible and delightful forms of interaction. Application domains I touch upon include context-aware computing, AR/VR, and smart environments.


*N. DeVrio, *V. Mollyn, C. Harrison, SmartPoser: Arm Pose Estimation With a Smartphone and Smartwatch Using UWB and IMU Data., In Proceedings of the ACM Symposium on User Interface Software and Technology. (UIST), 2023.
N. DeVrio, C. Harrison, DiscoBand: Multiview Depth-Sensing Smartwatch Strap for Hand, Body, and Environment Tracking., In Proceedings of the ACM Symposium on User Interface Software and Technology. (UIST), 2022.
K. Ahuja, V. Shen, C. Fang, N. Riopelle, A. Kong, C. Harrison, ControllerPose: Inside-Out Body Capture with VR Controller Cameras, In CHI Conference on Human Factors in Computing Systems. (CHI), 2022.
V. Varga, G. Vakulya, B. Buergisser, N. Riopelle, F. Zund, R. Sumner, T. Gross, A. Sample, Real-Time Interaction Capture through Physical Contact for Mixed Reality, In Proceedings of the Fifteenth International Conference on Tangible, Embedded, and Embodied Interaction. (TEI), 2021.
N. Riopelle, A. Malatpure, S. Ashtekar, V. Raman, Dependency Graph-based Failure Analysis for Private Clouds, IEEE International Symposium on Software Reliability Engineering Workshops. (ISSREW), 2019.
N. Riopelle, P. Caspers, D. Sofge, Terrain Classification for Autonomous Vehicles Using Bat-Inspired Echolocation, In Proceedings of the International Joint Conference on Neural Networks. (IJCCN), 2018.