Detecting defense mechanisms from Adult Attachment Interview (AAI) transcripts using machine learning.

Journal: Psychotherapy research : journal of the Society for Psychotherapy Research
PMID: 36525586

Abstract

OBJECTIVE: Defensive functioning (i.e., unconscious process used to manage real or perceived threats) may play a role in the development of various psychopathologies. It is typically assessed via observer rating measures, however, human coding of defensive functioning is resource-intensive and time-consuming. The purpose of this study was to develop a machine learning approach to automate coding of defense mechanisms from interview transcripts.

Authors

  • Anthony N Tasca
    School of Computer Science, Carleton University, Ottawa, Canada.
  • Samantha Carlucci
    School of Psychology, University of Ottawa, Ottawa, Canada.
  • James C Wiley
    Department of Psychology, Carleton University, Ottawa, Canada.
  • Matthew Holden
    Carleton University, Ottawa, K1S 5B6, Canada.
  • Ahmed El-Roby
    School of Computer Science, Carleton University, Ottawa, Canada.
  • Giorgio A Tasca
    School of Psychology, University of Ottawa, Ottawa, Canada.

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