Automatic detection of everyday social behaviours and environments from verbatim transcripts of daily conversations

Kristina Y. Yordanova, Burcu Demiray, Matthias R. Mehl, Mike Martin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

Coding in social sciences is a process that involves the categorisation of qualitative or quantitative data in order to facilitate further analysis. Coding is usually a manual process that involves a lot of effort and time to produce codes with high validity and interrater reliability. Although automated methods for quantitative data analysis are largely used in social sciences, there are only a few attempts at automatically or semi-automatically coding the data collected in qualitative studies. To address this problem, in this work we propose an approach for automated coding of social behaviours and environments based on verbatim transcriptions of everyday conversations. To evaluate the approach, we analysed the transcripts from three datasets containing recordings of everyday conversations from: (1) young healthy adults (German transcriptions), (2) elderly healthy adults (German transcriptions), and (3) young healthy adults (English transcriptions). The results show that it is possible to automatically code the social behaviours and environments based on verbatim transcripts of the recorded conversations. This could reduce the time and effort researchers need to assign accurate codes to transcribed conversations.

Original languageEnglish (US)
Title of host publication2019 IEEE International Conference on Pervasive Computing and Communications, PerCom 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538691489
DOIs
StatePublished - Mar 2019
Event2019 IEEE International Conference on Pervasive Computing and Communications, PerCom 2019 - Kyoto, Japan
Duration: Mar 12 2019Mar 14 2019

Publication series

Name2019 IEEE International Conference on Pervasive Computing and Communications, PerCom 2019

Conference

Conference2019 IEEE International Conference on Pervasive Computing and Communications, PerCom 2019
CountryJapan
CityKyoto
Period3/12/193/14/19

Keywords

  • Automated coding
  • Natural language processing
  • Social behaviour analysis

ASJC Scopus subject areas

  • Media Technology
  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications

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    Yordanova, K. Y., Demiray, B., Mehl, M. R., & Martin, M. (2019). Automatic detection of everyday social behaviours and environments from verbatim transcripts of daily conversations. In 2019 IEEE International Conference on Pervasive Computing and Communications, PerCom 2019 [8767403] (2019 IEEE International Conference on Pervasive Computing and Communications, PerCom 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PERCOM.2019.8767403