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A massively parallel memory-based story system for psychotherapy

R N Smith1, C C Chen, F F Feng

  • 1College of Computer Science, Northeastern University, Boston, Massachusetts 02115.

Computers and Biomedical Research, an International Journal
|October 1, 1993
PubMed
Summary
This summary is machine-generated.

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Dr. Bob is a memory-based psychotherapy system designed for the Connection Machine. It retrieves alcohol addiction and sexual abuse stories to aid psychiatrists in treating patients with addictive behaviors and psychological trauma.

Area of Science:

  • Computer Science
  • Psychiatry
  • Psychology

Background:

  • Psychotherapy often benefits from case studies and narrative examples.
  • Accessing relevant patient histories can be challenging in clinical settings.
  • Computational systems can potentially aid in organizing and retrieving therapeutic information.

Purpose of the Study:

  • To introduce Dr. Bob, a novel memory-based system for psychotherapy.
  • To leverage parallel processing for efficient retrieval of therapeutic narratives.
  • To support psychiatrists in addressing alcohol addiction and sexual abuse recovery.

Main Methods:

  • Development of a memory-based system named Dr. Bob.
  • Implementation on the Thinking Machines, Inc., CM-2a Connection Machine using *LISP.

Related Experiment Videos

  • Parallel retrieval of stories related to alcohol addiction and sexual abuse.

    • Main Results:

    • The system, Dr. Bob, successfully retrieves relevant therapeutic stories in parallel.
    • The *LISP programming language was utilized for the Connection Machine.
    • The retrieved stories are intended for use by psychiatrists in patient treatment.

    Conclusions:

    • Dr. Bob demonstrates the potential of parallel computing in psychotherapy.
    • The system can assist in the recovery process for addictive behaviors and psychological trauma.
    • This approach offers a new method for utilizing computational resources in mental health treatment.