Using audio-mixing software to facilitate remote data collection of conversational interactions

Wilsdon, Luke, Uther, Maria, Chadwick, Darren and Fullwood, Chris ORCID: 0000-0002-7714-6783 (2022) Using audio-mixing software to facilitate remote data collection of conversational interactions. In: 35th BCS Human-Computer Interaction Conference, 11th July - 13 July 2022, Keele University. ISSN 1477-9358 (Unpublished)

Full text not available from this repository.

Abstract

This paper discusses the issues with using open source, audio-mixing technology to facilitate remote data collection of speech samples, which was needed specifically during the COVID-19 pandemic, but will also be beneficial in other contexts, e.g., to save on time and costs associated with travelling. We discuss practical constraints associated with remote data collection using this technology. We also consider issues around ethics, security, and data quality in using technology to record conversational interactions. We provide the example of using common tools such as MS Teams and smartphones and two types of software to conduct interviews to collect speech data as a proof-of-concept and offer further directions for research.

Item Type:	Conference or Workshop Item (Paper)
Article Type:	Article
Additional Information:	This paper is due to be published in the Proceedings of the 35th BCS Human-Computer Interaction Conference, the BCS 'Electronic Workshops in Computing' series.
Subjects:	B Philosophy. Psychology. Religion > BF Psychology
Divisions:	Schools and Research Institutes > School of Education and Science
Research Priority Areas:	Health, Life Sciences, Sport and Wellbeing
Depositing User:	Chris Fullwood
Date Deposited:	21 Nov 2022 09:54
Last Modified:	31 Aug 2023 09:04
URI:	https://eprints.glos.ac.uk/id/eprint/11818

University Staff: Request a correction | Repository Editors: Update this record