Investigating the challenges involved in haptic experience design from hapticians involved in industry to novices starting out in the field. We are aiming to create effective solutions such as tools to help hapticians at different stages in the haptic design process.
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.