We investigate how multipass emotion labelling protocols generate ecologically valid dynamic emotion transition labelling of affective touch behaviour (and other modalities).
SPIN research in haptic notification and movement guidance spans a number of different project arches, as seen through associated publications.
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.
MacaronMix is an online, open-source tool for morphing haptic signals. Designers, researchers, and hapticians can use this tool to create and study haptic icons, and to develop new morphing algorithms. Link: http://hapticdesign.github.io/macaronmix/
People describe vibrations using emotional descriptions. For example, signals can feel more or less "lively" than others. Can this language be used to stylize vibrations to feel more/less along certain emotional dimensions?
Crowdsourcing can gather rapid feedback at scale, but how do we crowdsource a haptic prototype? Haptic proxies are visualizations and simplified phone vibrations that can be used to represent high-fidelity haptics in studies conducted using Mechanical Turk.
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.
People differ widely in how they perceive and want to use tactile signals. What kind of tools are needed to support them in customizing?
