Human Computer Interaction (HCI)/ Human Robot Interaction (HRI)
Investigating how people interact with computers, machines and robots.
Human Computer Interaction is a multidisciplinary research area looking into how people interact with computers, robots and machines in general. At PFN, we are interested in leveraging the power of deep learning to enhance/create interactive experiences (ML for HCI) and conversely use HCI and UX approaches to optimise machine learning processes, involving tedious human labour (HCI for ML).
Here are examples of works we presented and demonstrated at CHI, ISS and UIST:
Publications
PenSight: Enhanced Interaction with a Pen-Top Camera
CHI 2020 (Best Paper Award)
By : Fabrice Matulic, Riku Arakawa, Brian Vogel, Daniel Vogel
Eliciting Pen-Holding Postures for General Input with Suitability for EMG Armband Detection
ISS 2019
By : Fabrice Matulic, Brian Vogel, Naoki Kimura, Dan Vogel
Experimental Analysis of Barehand Mid-air Mode-Switching Techniques in Virtual Reality
Honourable Mention at CHI 2019
By : Hemant Bhaskar Surale, Fabrice Matulic, Daniel Vogel
Extending Discrete Verbal Commands with Continuous Speech for Flexible Robot Control
CHI EA 2019
By : Naoya Yoshimura, Hironori Yoshida, Fabrice Matulic, Takeo Igarashi