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Related Concept Videos

Psychotherapy01:28

Psychotherapy

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Psychotherapy is a versatile, nonmedical approach aimed at helping individuals address emotional, behavioral, and interpersonal issues to enhance their overall well-being. It can involve one-on-one sessions, couples counseling, or small group discussions with a therapist. The therapeutic process includes various techniques such as open discussion, interpretation of thoughts and behaviors, active listening, positive reinforcement, and role modeling. Psychotherapy aims to support individuals in...
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Modeling, a key technique in therapy, uses observational learning to help clients acquire and practice new skills by watching therapists demonstrate desired behaviors. This approach, rooted in Albert Bandura's concept of vicarious learning, plays a significant role in therapeutic interventions for various psychological conditions, including social anxiety, ADHD, and depression.
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Elements Crucial for Effective Psychotherapy01:25

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Research has highlighted several critical factors that influence the effectiveness of psychotherapy, such as the therapeutic alliance, the therapist, and the client.
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Cognitive therapy, pioneered by Aaron T. Beck in the 1960s, is a structured approach to addressing psychological distress by focusing on the influence of thoughts on emotions and behaviors. All cognitive therapies involve the basic assumption that human beings have control over their feelings, and that how individuals feel about something depends on how they think about it. Unlike psychoanalytic methods that delve into unconscious processes or humanistic approaches emphasizing...
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Automatic Processing and Automatic Social Behavior01:28

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Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...
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Related Experiment Video

Updated: Dec 18, 2025

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception
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Assessing the accuracy of automatic speech recognition for psychotherapy.

Adam S Miner1,2,3, Albert Haque4, Jason A Fries3

  • 1Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA USA.

NPJ Digital Medicine
|June 19, 2020
PubMed
Summary

Automatic speech recognition (ASR) is feasible in psychotherapy but requires accuracy improvements for widespread clinical use. While useful for analyzing language patterns, current ASR may not be ready for individual safety monitoring.

Keywords:
DepressionTranslational research

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Area of Science:

  • Mental Health
  • Computational Linguistics
  • Clinical Psychology

Background:

  • Accurate transcription of psychotherapy sessions is crucial for improving therapy effectiveness, clinician training, and safety monitoring.
  • Commercial automatic speech recognition (ASR) software exists, but its performance and suitability in mental health settings are not well-established.
  • Defining appropriate metrics and accuracy thresholds for ASR in diverse clinical applications, from population analysis to individual safety, remains unclear.

Purpose of the Study:

  • To evaluate the feasibility and accuracy of ASR in psychotherapy settings.
  • To determine the suitability of current ASR technology for various clinical use cases in mental health.
  • To assess the performance of ASR for specific clinical indicators like depression and harm-related content.

Main Methods:

  • Development and implementation of a HIPAA-compliant ASR system for psychotherapy recordings.
  • Quantitative analysis of transcription accuracy using word error rate (WER).
  • Calculation of sensitivity and positive predictive value for depression-related and harm-related utterances.

Main Results:

  • The ASR system achieved a 25% word error rate for general psychotherapy transcription.
  • For depression-related utterances, ASR demonstrated 80% sensitivity and 83% positive predictive value.
  • Clinician-identified harm-related sentences had a higher ASR word error rate of 34%.

Conclusions:

  • ASR is technically feasible in psychotherapy but requires further accuracy enhancements for broad clinical adoption.
  • Current ASR performance may support research on language patterns and treatment variations in depression.
  • The demonstrated word error rates suggest ASR is not yet sufficiently reliable for real-time, individual-level safety surveillance in psychotherapy.