Analyzing group performance in small group interaction: Linking personality traits and group performance through the verbal content

dc.contributor.author Umut Avci
dc.contributor.author Oya Aran
dc.contributor.author Aran, Oya
dc.contributor.author Avci, Umut
dc.date.accessioned 2025-10-06T17:51:23Z
dc.date.issued 2019
dc.description.abstract In this paper we investigate the link between the personality traits and group performance in terms of the verbal content. We further study the variability in the verbal interaction between different performance groups. Towards this goal we extract topics representing the content of meetings as well as term-frequencies of items that play a critical role in the decision task. We use a dataset where each group performs the winter survival task in which the task is to decide on the ranking of different items with respect to the importance of each item for their survival. In the experiments we contrast the ranking of items with respect to their term frequencies and compare the differences between topics both for distinct personality traits and group performances. Results of the term-frequency based approach show that influential people put correct emphasis on items more than dominant people. The topic-based method reveals that influential people consider the majority of items by providing usage instructions for alternative scenarios and that dominant people focus only on a small subset of items by stressing their significance. High-performance groups assess items in a similar manner to influential and dominant people i.e. a wide range of items are considered and their importance is explained. Low-performance groups on the other hand concentrate on the situation they are in rather than the items and their usages. © 2020 Elsevier B.V. All rights reserved.
dc.description.sponsorship 3dMD, et al., IMT Lille Douai - Ecole Mines-Telecom, Inria - Inventerus du Monde Numerique, Institut Mines-Telecom, Universite de Lille
dc.identifier.doi 10.1109/FG.2019.8756531
dc.identifier.isbn 9781728100890
dc.identifier.issn 2326-5396
dc.identifier.scopus 2-s2.0-85070457456
dc.identifier.uri https://www.scopus.com/inward/record.uri?eid=2-s2.0-85070457456&doi=10.1109%2FFG.2019.8756531&partnerID=40&md5=026cc2012f4b899a8cab4d0cece98dbe
dc.identifier.uri https://gcris.yasar.edu.tr/handle/123456789/9415
dc.identifier.uri https://doi.org/10.1109/FG.2019.8756531
dc.language.iso English
dc.publisher Institute of Electrical and Electronics Engineers Inc.
dc.relation.ispartof 14th IEEE International Conference on Automatic Face and Gesture Recognition FG 2019
dc.relation.ispartofseries IEEE International Conference on Automatic Face and Gesture Recognition and Workshops
dc.rights info:eu-repo/semantics/closedAccess
dc.subject Decision Task, Group Interaction, Group Performance, Performance Group, Personality Traits, Term Frequency, Verbal Interaction, Gesture Recognition
dc.subject Decision task, Group interaction, Group performance, Performance group, Personality traits, Term Frequency, Verbal interaction, Gesture recognition
dc.title Analyzing group performance in small group interaction: Linking personality traits and group performance through the verbal content
dc.type Conference Object
dspace.entity.type Publication
gdc.author.scopusid 35486827300
gdc.author.scopusid 15062392700
gdc.author.wosid Aran, Oya/ABR-6400-2022
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gdc.description.department
gdc.description.departmenttemp [Avci, Umut] Yasar Univ, Fac Engn, Software Engn, Izmir, Turkey; [Aran, Oya] De La Salle Univ, Coll Comp Studies, Manila, Philippines
gdc.description.endpage 7
gdc.description.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
gdc.description.startpage 1
gdc.description.woscitationindex Conference Proceedings Citation Index - Science
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gdc.oaire.sciencefields 0202 electrical engineering, electronic engineering, information engineering
gdc.oaire.sciencefields 02 engineering and technology
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gdc.opencitations.count 2
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gdc.virtual.author Avci, Umut
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person.identifier.scopus-author-id Avci- Umut (35486827300), Aran- Oya (15062392700)
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