While a teacher can always infer if a student is paying attention in the classroom, would an edutech bot know if the lesson on screen is holding his/her attention? The day may not be too far when the distinguishing line between these two kinds of interactions would blur.
Researchers at the International Institute of Informational Technology Bangalore (IIITB) have developed a ready-to-use interpretable pipeline which uses machine learning and psychology for modelling engagement in human-robot interactions. Along with the prediction of engagement, the pipeline can provide deeper insights into human personality, attitudes, and emotions and thereby improve the way the robot interacts with the human user.