Natural action processing: conversation analysis and big interactional data

Housley, William ORCID: https://orcid.org/0000-0003-1568-9093, Albert, Saul and Stokoe, Elizabeth 2019. Natural action processing: conversation analysis and big interactional data. Presented at: Halfway to the Future Symposium 2019, Nottingham, UK, 19-20 Nov 2019. Proceedings of the Halfway to the Future Symposium 2019. Nottingham: HTTF, pp. 1-4. 10.1145/3363384.3363478

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Abstract

This position paper identifies a crucial opportunity for the reciprocal exchange of methods, data and phenomena between conversation analysis (CA), ethnomethodology (EM) and computer science (CS). Conventional CS classification of sentiment, tone of voice, or personality do not address what people do with language or the paired sequences that organize actions into social interaction. We argue that CA and EM can innovate and substantially enhance the scope of the dominant CS approaches to big interactional data if artificial intelligence-based natural language processing systems are trained using CA annotated data to do what we call natural action processing.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Publication
Status:	Published
Schools:	Social Sciences (Includes Criminology and Education)
Publisher:	HTTF
ISBN:	978-1-4503-7203-9
Date of Acceptance:	1 October 2019
Last Modified:	23 Oct 2023 15:17
URI:	https://orca.cardiff.ac.uk/id/eprint/126248

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