A dataset on the experimental study of online and offline communication with digital and biomarkers : научное издание

Описание

Тип публикации: статья из журнала

Год издания: 2026

Идентификатор DOI: 10.1038/s41597-026-07382-1

Ключевые слова: human behaviour, social behaviour

Аннотация: <jats:title>Abstract</jats:title> <jats:p>The rise of videoconferencing (VC) technologies has transformed how individuals collaborate and interact across professional and personal contexts. However, empirical studies comparing VC and face-to-face (FtF) interactions remain fragmented, partly due to a lack of open, multimodal datasetПоказать полностьюs capturing both modalities with rich behavioural, physiological, and self-report measures. To address this gap, we introduce the dataset, comprising approximately 180 hours of audio-visual recordings of unacquainted dyads engaging in structured and creative collaborative tasks under controlled laboratory conditions. Participants were randomly assigned to VC or FtF interaction. The dataset includes six salivary oxytocin measurements, self-reports on affect, personality traits, relevant attitudes, communication outcomes, and a repeated sustained attention task. Behavioural recordings from frontal and side camera views are available for most dyads, with individual-level data for 127–131 participants. The dataset enables research into social bonding, cooperation, behavioural and physiological synchrony, and broader communication dynamics, filling a critical gap in resources for comparative communication studies.</jats:p>

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Издание

Журнал: Scientific Data

Выпуск журнала: Т.13, 1

Номера страниц: 1094

ISSN журнала: 20524463

Место издания: Лондон

Персоны

  • Tsigeman Elina (HSE University)
  • Mararitsa Larisa (HSE University)
  • Lopatina Olga (Prof. V.F. Voino-Yasenetsky Krasnoyarsk State Medical University)
  • Avliyakulyeva Ailar (Prof. V.F. Voino-Yasenetsky Krasnoyarsk State Medical University)
  • Kindyakova Ekaterina (Prof. V.F. Voino-Yasenetsky Krasnoyarsk State Medical University)
  • Koltsova Olessia (HSE University)

Вхождение в базы данных

  • Ядро РИНЦ (eLIBRARY.RU)