My primary research interests in technology focus on illuminating the complexities of physical interaction. I have been drawn to ways in which technology can reveal nuances in power dynamics, implicit biases, and unseen boundaries of non-verbal communication. This work has led to collaborations with a range of technologists, engineers, clinicians, and roboticists, to challenge what is measurable and what is lost when reducing the possibilities of physical experience.
Starting in 2016, I have led a team through ideation, development, and implementation of specialized wearable technology for kinesthetic motion capture. This technology has been used in lecture-demonstrations and performance, where sensors worn by dancers capture and render salient subtle elements of movement, including relative position (infrared proximity, gyroscopic orientation), acceleration, intensity and duration of pressure, and muscular activation (EMG). Movement data is synthesized into a notational system which can be read by live musicians, as well as trigger live and pre-recorded sound samples.
This research has been supported by the MIT Media Lab, Harvard Consortium for Digital Humanities, Jacob's Pillow Dance Festival, Harvard ArtLab, Centre for Dance Research (UK), NYU Center for Ballet and the Arts, and shared at TEDx Providence, the American Academy of Arts and Sciences, and the Centre for Performance Research (NY).