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Record W2989189383 · doi:10.1109/isce.2019.8900976

A Dialogue Intervention Simulation Framework to Facilitate Psychotherapy Training

2019· article· en· W2989189383 on OpenAlexaff
Kyle Wilcocks, Bill Kapralos, Allen Kalpin, Allan Abbass, David Chandross

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPsychology
TopicCounseling, Therapy, and Family Dynamics
Canadian institutionsToronto Metropolitan UniversityDalhousie UniversityOntario Tech University
Fundersnot available
KeywordsAvatarNonverbal communicationPsychotherapistIntervention (counseling)PsychologyFacial expressionVirtual realityCognitive psychologyComputer scienceHuman–computer interactionCommunication

Abstract

fetched live from OpenAlex

Intensive Short-Term Dynamic Psychotherapy (ISTDP) is a form of psychotherapy that evokes emotional experiences with the patient to facilitate a corrective emotional experience. During ISDTP, verbal and non-verbal communication skills play an essential role in how the dialogue is directed to achieve successful treatment. In an attempt to enhance non-verbal communication skills, we present a framework that allows for the simple creation of a dialogue between the user and a virtual avatar representing the patient. The patient avatar incorporates facial expressions to express specific non-verbal communication thus expose psychotherapy trainees to better simulated nonverbal cues.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.028
Threshold uncertainty score0.095

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0020.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0280.003

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.075
GPT teacher head0.360
Teacher spread0.285 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2019
Admission routes1
Has abstractyes

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