Sensory Perception & Interaction Research Group

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. 

We investigate how multipass emotion labelling protocols generate ecologically valid dynamic emotion transition labelling of affective touch behaviour (and other modalities).

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.