Dataset of physiological, behavioral, and self-report measures from a group decision-making lab study

Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

Authors

This paper presents data from a study conducted in twenty groups of three participants each. Data were collected from sixty participants during a lab visit which was video recorded from several angles. Upon arrival to the lab and following informed consent, participants were told that they would be a part of a group decision-making task and were given instructions for a procedure titled “the desert survival task” Lafferty and Pond (1974). Participants were then connected to several electrodes on their upper body and palm for the collection of their electrocardiogram, respiration and electrodermal activity throughout the group task. Participants then performed the task together. The collection of physiological data from all group members was conducted simultaneously and in synchrony with the video recording. The video recordings of the group interactions were later coded by trained psychology students for positive affective behaviors made by participants (smiling and laughing) throughout the group task. Self-report measures (trait anxiety and social phobia) were collected prior to the group task from all participants. This multimodal dataset thus integrates behavioral, self-report, and physiological measures from group members, which are important for understanding group dynamics. These data will allow verification, replications, and additional analyses of the data from new perspectives.

OriginalspracheEnglisch
Aufsatznummer108630
ZeitschriftData in Brief
Jahrgang45
Anzahl der Seiten8
ISSN2352-3409
DOIs
PublikationsstatusErschienen - 01.12.2022

Bibliographische Notiz

Funding Information:
Ilanit Gordon acknowledges funding from the Israel Science Foundation [Grant Nos. 2096/15 , 1726/15 ] and funding provided by Negotiation and Team Resources under the NTRINGroup research grant program. Sebastian Wallot acknowledges funding from the Heisenberg programme of the German Research Foundation (Deutsche Forschungsgemeinschaft, DFG) [Grant No. 442405852 ].

Publisher Copyright:
© 2022

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