Research into dyadic social interactions has expanded significantly, enabling a deeper understanding of the dynamic processes underlying interpersonal communication. As the use of larger datasets becomes increasingly common in this field, the need for scalable and efficient analytical tools has grown. Automated coding methods, such as those provided by OpenPose, an open-source software for detecting and tracking human motion, offer significant advantages for analysing the movement of two individuals during an interaction. However, the processing and analysis of large quantities of JSON output files generated by OpenPose remain a considerable challenge. To address this, we introduce duet, an R package designed to streamline the processing and analysis of OpenPose output data, particularly in the context of dyadic interactions. The package provides a suite of functions for data cleaning, interpolation, kinematic analysis, and visualisation, offering researchers a comprehensive and user-friendly workflow. By simplifying the handling of OpenPose data, duet aims to facilitate large-scale, automated analysis of dyadic social interactions, with minimal coding experience, thereby advancing methodological capabilities in social and behavioural sciences.

A growing body of research suggests that the behaviours and experiences of autistic and non-autistic people are influenced by whether they are interacting with someone of the same or different diagnos...

Facial muscle activity can shape how we recognise emotions. Using electrical stimulation and EEG, the study found that activation of smiling muscles makes people more likely to see neutral faces as ha...

Effective information transfer requires social communication skills. As autism is clinically defined by social communication deficits, it may be expected that i...

In non-autistic populations, social motor synchrony during interactions is linked to increased interpersonal rapport – a friendly connection marked by mutual un...

Neurodiversity means that all people’s brains process information differently from each other. In other words, people think and learn in a variety of ways. Being neurodivergent means that the way a pe...

YouTube video by Mind Body Lab UiO

The debate on whether facial expressions can influence mood rages on, with new work using electrical stimulation adding a fresh twist.

Abstract. The role of facial feedback in facial emotion recognition remains controversial, partly due to limitations of the existing methods to manipulate the a

Facial neuromuscular electrical stimulation (fNMES), which allows for the non-invasive and physiologically sound activation of facial muscles, has great potential for investigating fundamental questio...

We investigated the neural sensitivity of autistic and non-autistic men to rapid changes in facial identity and facial expression. We found that brains of participants in both groups are capable to r....

Objective To investigate the neural correlates of working memory during a spontaneous migraine attack compared to the interictal phase, using functional magnetic resonance imaging (fMRI). Background C...