Disfluencies in dialogues with patients with schizophrenia

Christine Howes, Mary Lavelle, Patrick Healey, Julian Hough, Rose McCabe

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

7 Citations (Scopus)

Abstract

Disfluencies such as self-repairs, filled pauses such as 'um' and silent pauses are pervasive in dialogue, but there is no consensus in the literature as to whether they reflect internal production pressures, or interactive issues - or how their effects are manifest in dialogue. It is well-known that patients with schizophrenia have problems with language and social cognitive skills, yet little research has investigated how these impact interaction. We report a study on the disfluency behaviours of patients with schizophrenia and their interlocutors who were unaware of the patient's diagnosis, compared to healthy control groups. Results show that patients use fewer self-repairs than either their partners or controls and fewer filled pauses ('er', 'um') than controls. Furthermore, the presence of the patient also affects patients' partners, who use fewer filled pauses than controls and more unfilled pauses than both patients and controls. This suggests that smooth coordination of turns is problematic in patients' dialogues.

Original languageEnglish
Title of host publicationProceedings of the 39th Annual Meeting of the Cognitive Science Society: Computational Foundations of Cognition, CogSci 2017
PublisherCognitive Science Society
Pages2230-2235
Number of pages6
ISBN (Electronic)9780991196760
ISBN (Print)9781510846616
Publication statusPublished - 26 Jul 2017
Externally publishedYes
Event39th Annual Meeting of the Cognitive Science Society 2017 - London, United Kingdom
Duration: 26 Jul 201729 Jul 2017

Publication series

NameAnnual Meeting of the Cognitive Science Society: Proceedings

Conference

Conference39th Annual Meeting of the Cognitive Science Society 2017
Abbreviated titleCogSci 2017
Country/TerritoryUnited Kingdom
CityLondon
Period26/07/201729/07/2017

Keywords

  • Dialogue
  • Disfluency
  • Schizophrenia

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Human-Computer Interaction
  • Cognitive Neuroscience

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