InterGenSynchrony Dataset

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Authors: Ryssa Moffat, Emily S. Cross
Cited by: 1

Abstract

InterGenSynchrony Dataset is a longitudinal, multimodal hyperscanning dataset acquired during a 6-session program, where 30 same generation and 31 intergenerational dyads met as strangers and became acquainted through creative drawing. This dataset is optimised for multimodal investigations into the neural, physiological, behavioural, kinematic, and subjective aspects of relationship formation within and between generations in a real-world setting. The dataset includes: Dyadic recordings of brain activity (fNIRS hyperscanning) Digitised coordinates of fNIRS sensors on scalp Video-based motion capture of upper body movements Self-report measures empathy at 1st session loneliness, social closeness, and attitudes toward generations at all sessions Collaborative behaviour extracted from videos Images of drawings (artefacts of collaboration) Subjective experiences text responses at each session semi-structured interview at final session Ratings of drawings collected from external raters

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
25 June 2026
Document type
Dataset