Indicating engagement in online workplace meetings
Abstract Amid COVID-19 and the so-called “digital pivot”, online virtual communication is at the heart of our professional and private lives. As we move into a post-COVID context, the affordances of the digital turn have shown that we can operate professionally online but there is a need for better understanding of communication in the online workplace. This paper contributes to our understanding of the dynamics of indicators of engagement in multi-party communication online, as evidenced by a corpus-based multi-modal study. It showcases the importance of building naturally-occurring spoken corpora that go beyond written transcription and include annotation of non-verbal behaviour. The work focuses on the incidence, frequency, position, and function of spoken and head nod backchannels, exploring coordination and co-occurrence of these features in online talk. Findings point to a changing profile of how engagement is displayed in online workplace meetings, which appears to be linked to the functionality of platforms.
Authors
- Tania Fahey Palma (ORCID: https://orcid.org/0000-0001-9485-5832)
- Justin McNamara (ORCID: https://orcid.org/0009-0003-8032-7272)
- Fiona Farr (ORCID: https://orcid.org/0000-0003-3800-1837)
- Geraldine Mark (ORCID: https://orcid.org/0000-0001-5333-0634)
- Svenja Adolphs (ORCID: https://orcid.org/0000-0002-9466-2771)
- Sandrine Peraldi (ORCID: https://orcid.org/0000-0003-1714-8194)
- Anne O’Keeffe (ORCID: https://orcid.org/0000-0003-3221-7258)
- Dawn Knight (ORCID: https://orcid.org/0000-0002-4745-6502)
- Christopher Fitzgerald (ORCID: https://orcid.org/0000-0001-9337-2337)
- Benjamin R. Cowan (ORCID: https://orcid.org/0000-0002-8595-8132)
Institutions
- University College Dublin (IE)
- University of Nottingham (GB)
- University of Aberdeen (GB)
- University of Limerick (IE)
- Mary Immaculate College (IE)
- Cardiff University (GB)
Publication Details
- Journal
- International Journal of Corpus Linguistics
- Published
- 2024-09-03
- DOI
- https://doi.org/10.1075/ijcl.24060.kni
- Citations
- 21
- Primary Topic
- Online and Blended Learning
- Type
- article
- Field-Weighted Citation Impact
- 39.82