Alexandra E. Paxton
Associate Professor/Psychological Sciences

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Strike a pose: A comparison of frame differencing and pose estimation methods for quantifying interpersonal movement coordination
2024
J Cafritz, Alexandra E. Paxton, H Zhong, Tahiya Chowdhury, Veronica Romero
Research Type: Poster/Presentation

Bridging distance: Anxiety, closeness, and understanding in videoconference vs. face-to-face conversations
2024
Alexandra E. Paxton, Veronica Romero, I Wakhlu, K Robin
Research Type: Poster/Presentation

Physical, social, and sociocultural contexts as dynamical constraints on interpersonal coordination
2024
Alexandra E. Paxton, Veronica Romero
Research Type: Poster/Presentation

Investigating patterns of interpersonal language similarity across communication medium and conversational context.
2024
Alexandra E. Paxton, Veronica Romero, Tahiya Chowdhury
Research Type: Poster/Presentation

MultiSOCIAL Toolbox: An open-source library for quantifying multimodal social interaction
2024
Veronica Romero, Tahiya Chowdhury, Alexandra E. Paxton
Research Type: Poster/Presentation

Context and medium shape multilevel language alignment
2024
Tahiya Chowdhury, Veronica Romero, Alexandra E. Paxton
Research Type: Poster/Presentation

git commit: Timecourse of language enculturation in open-source software developer communities on GitHub
2024
Nelle Varoquaux, Alexandra E. Paxton
Research Type: Poster/Presentation

Inextricably linked: Social interaction as a nonlinear dynamical system
2025
Research Type: Poster/Presentation

Investigating social dynamics with categorical recurrence
2025
Research Type: Poster/Presentation

What clocks can tell us about conversation: Social interaction from the dynamical and ecological perspective
2025
Research Type: Poster/Presentation

COVID Conversations: Contextual influences on interpersonal coordination
2025
Alexandra E. Paxton, I Wakhlu, Veronica Romero, K Robin
Research Type: Poster/Presentation

There and back again: Some advice for those interested in faculty careers from a proud UC Merced alum
2025
Research Type: Poster/Presentation

crqa-tools-and-more
2025
Research Type: Technology

https://github.com/a-paxton/crqa-tools-and-more
Driver Psychology Latent Classes as Predictors of Traffic Incident Occurrence in Naturalistic Driving Study (NDS) Data
John N Ivan, Sadia Sharmin, Kerry L Marsh, Andrew Tucker, Alexandra E Paxton
Research Type: Conference Proceedings