Local dynamic mode of Cognitive Behavioral Therapy

@article{Ardulov2022LocalDM,
  title={Local dynamic mode of Cognitive Behavioral Therapy},
  author={Victor Ardulov and Torrey A. Creed and David C. Atkins and Shrikanth S. Narayanan},
  journal={ArXiv},
  year={2022},
  volume={abs/2205.09752}
}
In order to increase mental health equity among the most vulnerable and marginalized communities, it is important to increase access to high-quality therapists. One facet of address these needs, is to provide timely feedback to clinicians as they interact with their clients, in a way that is also contextualized to specific clients and interactions they have had. Dynamical systems provide a framework through which to analyze interactions. The present work applies these methods to the domain of… 

Figures and Tables from this paper

References

SHOWING 1-10 OF 27 REFERENCES

Implementation of transdiagnostic cognitive therapy in community behavioral health: The Beck Community Initiative.

Even clinicians motivated by policy-change rather than self-nomination may feasibly be trained to deliver a case-conceptualization driven EBP with high levels of competency and acceptability.

"Am I A Good Therapist?" Automated Evaluation Of Psychotherapy Skills Using Speech And Language Technologies

An automated competency rating tool able to process the raw recorded audio of a session, analyzing who spoke when, what they said, and how the health professional used language to provide therapy is developed.

Language Features for Automated Evaluation of Cognitive Behavior Psychotherapy Sessions

This work examines how linguistic features can be effectively used to develop an automatic competency rating tool for CBT, and suggests that a real-world system could be developed to automatically evaluate CBT sessions to assist training, supervision, or quality assurance of services.

Attention Networks for Modeling Behaviors in Addiction Counseling

Long short term memory networks equipped with an attention mechanism are used to process transcripts of addiction counseling sessions and predict prominent counselor and client behaviors and demonstrate that this approach gives competitive performance while also providing additional interpretability.

Automated quality assessment of cognitive behavioral therapy sessions through highly contextualized language representations

A BERT-based model is proposed for automatic behavioral scoring of a specific type of psychotherapy, called Cognitive Behavioral Therapy (CBT), where prior work is limited to frequency-based language features and/or short text excerpts which do not capture the unique elements involved in a spontaneous long conversational interaction.

A Deep Learning Approach to Modeling Empathy in Addiction Counseling

A deep neural network system for predicting counselors’ session level empathy ratings from transcripts of the interactions, which outperforms training the DNN end-to-end in a single stage and also outperforms a baseline neural network model that attempts to predict empathy ratings directly from text without modeling turn level behavioral dynamics.

Cognitive behavior therapy : basics and beyond

Foreword, Aaron T. Beck 1. Introduction to Cognitive Therapy 2. Overview of Treatment 3. Cognitive Conceptualization 4. The Evaluation Session 5. Structure of the First Therapy Session 6. Behavioral

Identifying Therapist and Client Personae for Therapeutic Alliance Estimation

The results show that alliance can be explained by the interactions between the discovered character types, and models trained on therapist and client personae achieve significant performance gains compared to competitive supervised baselines.

Mental Health Treatment Among Adults: United States, 2019.

This report describes the percentage of U.S. adults who have taken prescription medication for their mental health or have received counseling or therapy from a mental health professional in the past 12 months by select characteristics, based on data from the 2019 National Health Interview Survey (NHIS).

Dynamic Mode Decomposition with Control as a Model of Multimodal Behavioral Coordination

This paper uses an existing video dataset to track the head pose, arm pose, and vocal fundamental frequency of infants and mothers during the Face-to-Face Still-Face procedure, a validated 3-stage interaction paradigm, and demonstrates the potential of DMDc toward integrating multiple behavioral signals into the measurement of multimodal interpersonal coordination.