By using a combination of facial expression recognition software and automated tutoring technology Jacob Whitehill, a computer science Ph.D. student from UC San Diego’s Jacobs School of Engineering, is leading the project that ultimately is part of a larger venture to use automated facial expression recognition to make robots more effective teachers.
The researchers recently conducted a pilot test with 8 people that demonstrated information within the facial expressions people make while watching recorded video lectures can be used to predict a person’s preferred viewing speed of the video and how difficult a person perceives the lecture at each moment in time.
“If I am a student dealing with a robot teacher and I am completely puzzled and yet the robot keeps presenting new material, that’s not going to be very useful to me. If, instead, the robot stops and says, ‘Oh, maybe you’re confused,’ and I say, ‘Yes, thank you for stopping,’ that’s really good,” said Whitehill in a release.
Is there anything people can’t do with a little bit of image processing?