My research explores the technology of social interaction at two ends of the spectrum of formalization. At one end, my work on conversational AI asks which features and mechanisms of human social action can be represented and modeled computationally. At the other, I study how people make aesthetic judgements and interact while dealing with underdetermined cultural objects and situations. This program spans multiple, often incompatible disciplines, so my work builds methodological interfaces between them.
My postdoc (2017-2019) between the psychology and computer science departments at the Human Interaction Lab at Tufts University involved exploring the methodological fusion of conversation analysis and experimental psychology, building software tools and protocols for generating large scale interactional data, and developing open-science methods for improving interaction research in psychology.
My PhD (2017) in the Cognitive Science Research Group in the School of Electronic Engineering and Computer Science at Queen Mary University of London explored how people do aesthetic evaluations in interaction, funded by a grant from the EPSRC’s Media and Arts Technology Doctoral Training Centre.
My background is in the arts, where I worked in participatory culture, science, and technology, co-founding The People Speak Network in 2006 to host open-ended conversations in public spaces.