Head-Mounted Cameras Could Help Robots Understand Social Interactions
What is everyone looking at? It’s a common question in social settings because the answer identifies something of interest, or helps delineate social groupings. Those insights someday will be essential for robots designed to interact with humans, so researchers at Carnegie Mellon University’s Robotics Institute have developed a method for detecting where people’s gazes intersect. The researchers tested the method using groups of people with head-mounted video cameras. By noting where their gazes converged in three-dimensional space, the researchers could determine if they were listening to a single speaker, interacting as a group, or even following the bouncing ball in a ping-pong game.