Towards Inclusive HRI: Using Sim2Real to Address Underrepresentation in Emotion Expression Recognition

Understand

Robots and artificial agents that interact with humans should be able to do so without bias and inequity, but facial perception systems have notoriously been found to work more poorly for certain groups of people than others.

• In our work, we aim to build a system that can perceive humans in a more transparent and inclusive manner.
• Specifically, we focus on dynamic expressions on the human face, which are difficult to collect for a broad set of people due to privacy concerns and the fact that faces are inherently identifiable.
• Furthermore, datasets collected from the Internet are not necessarily representative of the general population.