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The MEET Corpus: Collocated, Distant and Hybrid Three-party Meetings with a Ranking Task
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Speech, Music and Hearing, TMH.ORCID iD: 0000-0001-7394-4270
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Speech, Music and Hearing, TMH.ORCID iD: 0000-0001-9327-9482
2024 (English)In: ISA 2024: 20th Joint ACL - ISO Workshop on Interoperable Semantic Annotation at LREC-COLING 2024, Workshop Proceedings, European Language Resources Association (ELRA) , 2024, p. 1-7Conference paper, Published paper (Refereed)
Abstract [en]

We introduce the MEET corpus. The corpus was collected with the aim of systematically studying the effects of collocated (physical), remote (digital) and hybrid work meetings on collaborative decision-making. It consists of 10 sessions, where each session contains three recordings: a collocated, a remote and a hybrid meeting between three participants. The participants are working on a different survival ranking task during each meeting. The duration of each meeting ranges from 10 to 18 minutes, resulting in 380 minutes of conversation altogether. We also present the annotation scheme designed specifically to target our research questions. The recordings are currently being transcribed and annotated in accordance with this scheme.

Place, publisher, year, edition, pages
European Language Resources Association (ELRA) , 2024. p. 1-7
Keywords [en]
annotation scheme, meetings, multimodal corpora
National Category
Language Technology (Computational Linguistics)
Identifiers
URN: urn:nbn:se:kth:diva-347701Scopus ID: 2-s2.0-85195184356OAI: oai:DiVA.org:kth-347701DiVA, id: diva2:1869418
Conference
20th Joint ACL - ISO Workshop on Interoperable Semantic Annotation, ISA 2024, Torino, Italy, May 20 2024
Note

QC 20240613

Part of ISBN 978-249381432-6

Available from: 2024-06-13 Created: 2024-06-13 Last updated: 2024-06-13Bibliographically approved

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Esfandiari-Baiat, GhazalehEdlund, Jens

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf