Evidence map›Paper›PMID 42135355›Full record

ArticleScientific data2026

A dataset on the experimental study of online and offline communication with digital and biomarkers.

Elina Tsigeman, Larisa Mararitsa, Olga Lopatina, Ailar Avliyakulyeva, Ekaterina Kindyakova, Olessia Koltsova

Abstract readDataset
In one paragraph

Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Elina TsigemanHSE University, The Social and Cognitive Informatics Laboratory, Saint-Petersburg, Russia.ORCID http://orcid.org/0000-0002-7966-5982
Larisa MararitsaHSE University, The Social and Cognitive Informatics Laboratory, Saint-Petersburg, Russia.
Olga LopatinaKrasnoyarsk State Medical University named after Prof. V.F. Voino-Yasenetsky, Social Neuroscience Laboratory, Krasnoyarsk, Russia.
Ailar AvliyakulyevaKrasnoyarsk State Medical University named after Prof. V.F. Voino-Yasenetsky, Social Neuroscience Laboratory, Krasnoyarsk, Russia.
Ekaterina KindyakovaKrasnoyarsk State Medical University named after Prof. V.F. Voino-Yasenetsky, Social Neuroscience Laboratory, Krasnoyarsk, Russia.
Olessia KoltsovaHSE University, The Social and Cognitive Informatics Laboratory, Saint-Petersburg, Russia. ekoltsova@hse.ru.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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 datasets 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.

Indexed as

CommunicationVideoconferencingBiomarkersDigital MediaHumansOxytocinSalivaBiomarkersOxytocin

Identifiers

PMID42135355
PMCPMC13408955

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.