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.
Here’s some of my recent and ongoing work:
- Outreach: The Center for Data on the Mind is a new initiative dedicated to helping cognitive scientists explore questions about cognition and behavior with big data. Come check us out!
- Fellowship: Moore-Sloan Data Science Fellow, Berkeley Institute for Data Science, AY 2016-2018.
- Publication: Exploring the dynamics of emotion during conflict discussions between mothers and adolescents (Main, Paxton, & Dale, 2016, Emotion). Find the code on GitHub!
- Methods Development: PsyGlass, transforming Google Glass into a tool for collecting interaction dynamics (Paxton, Rodriguez, & Dale, 2015, Behavior Research Methods). Find the code on GitHub!
- Mentoring: Four undergraduate mentees entered the UC Merced Research Week Student Poster Competition with posters on new projects (Oakes, Patel, Paxton, & Dale, 2015; Carey, Willson, Paxton, & Dale, 2015). Kyle Carey and Keith Willson’s won in the Undergraduate SSHA Division!