When we interact, we influence one another in subtle ways. Our individual behavioral signatures — the way we move, speak, and feel — start to become interconnected. We even recognize this colloquially: People talk about how infectious smiles can be or how a yawn can spread through a room.
We most often notice this interconnectedness when we’re engaged in friendly conversation, but how does changing that conversational context affect interaction dynamics? How does conflict, especially, restructure our interaction patterns, and how can we better capture and model these dynamics? As a cognitive scientist, I explore these and similar questions from a computational social science perspective.
In August 2018, I will be joining the University of Connecticut’s Department of Psychological Sciences as an Assistant Professor of Ecological Psychology within the Perception, Action, Cognition division.
Here’s some of my recent and ongoing work:
- Outreach: Videos and code from the Data on the Mind 2017 summer workshop are now available! Check out 11 tutorials dedicated to helping cognitive scientists explore questions about cognition and behavior with big and naturally occurring data. Find out more here!
- Call to action: Using big or naturally occurring data sets (BONDS) to test theories outside the lab by finding the traces of the behavioral and cognitive processes within the human-generated data (Paxton & Griffiths, 2017). Get our open-access publication here!
- Publication: Using wearable technology to quantify the nonlinear context-sensitivity of interpersonal coordination to high- and low-level constraints during conversation (Paxton & Dale, 2017, Frontiers in Psychology). Read the open-access article here, and check out our registered repository of data and code on OSF!
- Methods development: Automatically and reproducibly quantify multi-level linguistic alignment in natural conversation using ALIGN—Analyzing Linguistic Interactions with Generalizable techNiques (Duran, Paxton, & Fusaroli, under review). Find our Python package on GitHub, or install it directly from PyPI.
- Fellowship: Moore-Sloan Data Science Fellow, Berkeley Institute for Data Science, AY 2016-2018.