Understanding Social Behaviour from the Seamless Interaction Dataset

How do two people coordinate their movement, gaze, gestures and speech during a conversation, and what can these behaviours tell us about the social interaction taking place? In this open-ended project, the student will use Meta’s Seamless Interaction dataset, a large-scale multimodal dataset of face-to-face interactions containing processed body motion, facial behaviour, gaze, audio, speech … Read more

[TAKEN] Looking at Each Other: A Dataset of Social Gaze in Conversation

Eye gaze plays a fundamental role in face-to-face communication, signalling attention, engagement, turn-taking and social intent. However, gaze is often studied from the perspective of only one participant. This project will create a new dataset of synchronised eye movements from pairs of people engaged in natural social interactions, using two wearable Pupil Labs eye-tracking headsets. … Read more