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 ISS and UIST:
Publications
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
Enabling Customer-Driven Learning and Customisation Processes for ML-Based Domestic Robots
HCML Perspectives Workshop at CHI 2019
