Creating a community for experienced hapticians and newcomers to learn, share, and explore haptic resources and projects, and investigating the challenges involved in haptic experience design for both newcomers and experienced hapticians.
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.