At SPIN, we are designing to apply affective haptic technologies in practice for applications such as facilitating emotion regulation, supporting synchronization during remote work, and many more.
Given the rich and diverse forms of communication within human-human and human-animal interactions, this project investigates how to design affective haptic robot behaviours that are expressive, pr
Educational haptic platforms can leverage various modalities in order create effective interactive environments that can support embodied physical interactions. These platforms have the potential to leverage a student’s physical intuition to make abstract topics in physics, math, and other fields of science more concrete.
We develop machine learning models of affect using touch and biometrics (such as EEG signal, skin conductance, heart rate, etc) to support affective interaction with companion robots for health applications.