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Dataset for: Bridging contexts in video-based virtual dyadic communication: from asynchronous non-familiar contexts using pre-recorded introductions to synchronous familiar contexts operationalising engagement metrics

Dataset for: Bridging contexts in video-based virtual dyadic communication: from asynchronous non-familiar contexts using pre-recorded introductions to synchronous familiar contexts operationalising engagement metrics
Dataset for: Bridging contexts in video-based virtual dyadic communication: from asynchronous non-familiar contexts using pre-recorded introductions to synchronous familiar contexts operationalising engagement metrics
This dataset supports a PhD thesis (Bridging contexts in video-based virtual dyadic communication: from asynchronous non-familiar contexts using pre-recorded introductions to synchronous familiar contexts operationalising engagement metrics) and contains raw, processed, and derived data from three online studies, including survey data, statistical outputs, and Python processing scripts. All data are pseudonymised and collected under ethical approval with informed consent.
dyadic communication, team diagnostic survey, human computer interaction, big five model, interpersonal communication satisfaction inventory
University of Southampton
Muresan, George Catalin
aa231706-2a59-4fa5-8f08-46119fb79081
Mititelu, Sebastian
094a1e86-8b79-4aa4-83b4-c1cbf2bc273b
schraefel, m.c.
ac304659-1692-47f6-b892-15113b8c929f
Freeman, Chris
ccdd1272-cdc7-43fb-a1bb-b1ef0bdf5815
Bodala, Indu
aa030b32-7159-4bc7-beb4-50df4ec84944
Muresan, George Catalin
aa231706-2a59-4fa5-8f08-46119fb79081
Mititelu, Sebastian
094a1e86-8b79-4aa4-83b4-c1cbf2bc273b
schraefel, m.c.
ac304659-1692-47f6-b892-15113b8c929f
Freeman, Chris
ccdd1272-cdc7-43fb-a1bb-b1ef0bdf5815
Bodala, Indu
aa030b32-7159-4bc7-beb4-50df4ec84944

Muresan, George Catalin, Freeman, Chris and Bodala, Indu (2026) Dataset for: Bridging contexts in video-based virtual dyadic communication: from asynchronous non-familiar contexts using pre-recorded introductions to synchronous familiar contexts operationalising engagement metrics. University of Southampton doi:10.5258/SOTON/PG/D257 [Dataset]

Record type: Dataset

Abstract

This dataset supports a PhD thesis (Bridging contexts in video-based virtual dyadic communication: from asynchronous non-familiar contexts using pre-recorded introductions to synchronous familiar contexts operationalising engagement metrics) and contains raw, processed, and derived data from three online studies, including survey data, statistical outputs, and Python processing scripts. All data are pseudonymised and collected under ethical approval with informed consent.

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More information

Published date: 2026
Related URLs:
Keywords: dyadic communication, team diagnostic survey, human computer interaction, big five model, interpersonal communication satisfaction inventory
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Identifiers

Local EPrints ID: 511667
URI: http://eprints.soton.ac.uk/id/eprint/511667
DOI: doi:10.5258/SOTON/PG/D257
PURE UUID: 9f53b724-f813-4e52-89a4-ad9cde6412c5
ORCID for m.c. schraefel: ORCID iD orcid.org/0000-0002-9061-7957
ORCID for Chris Freeman: ORCID iD orcid.org/0000-0003-0305-9246

Catalogue record

Date deposited: 26 May 2026 17:11
Last modified: 27 May 2026 01:39

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Contributors

Creator: George Catalin Muresan
Contributor: Sebastian Mititelu
Research team head: m.c. schraefel ORCID iD
Creator: Chris Freeman ORCID iD
Creator: Indu Bodala

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