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Record W2095158042 · doi:10.1089/cpb.2008.0008

Cognitive Mechanisms Underlying Virtual Reality Exposure

2009· article· en· W2095158042 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCyberPsychology & Behavior · 2009
Typearticle
Languageen
FieldComputer Science
TopicVirtual Reality Applications and Impacts
Canadian institutionsUniversité du Québec en OutaouaisUniversity of Ottawa
Fundersnot available
KeywordsDysfunctional familyStroop effectCognitionArousalPsychologyVirtual realityClinical psychologyBehavior changeCognitive psychologyDevelopmental psychologyPsychiatrySocial psychologyComputer science

Abstract

fetched live from OpenAlex

Many studies have assessed virtual reality exposures efficacy, but very few examined its treatment processes. The addition of objective measures of arousal and information processing mechanisms would be a valuable contribution in order to provide a more complete and detailed picture. The goal of this study was to better document the cognitive mechanisms associated with therapeutic change after an in virtuo exposure treatment. Twenty-eight adults suffering from arachnophobia were assessed and received an exposure-based treatment using virtual reality. General outcome and specific processes measures included a battery of standardized questionnaires, a pictorial emotional Stroop task, a Behavioral Avoidance Test, and a measure of participants' cardiac response while they looked at a live tarantula. The analyses showed that changes in perceived self-efficacy and dysfunctional beliefs were the best predictors of change in general outcome and cardiac response; change in dysfunctional beliefs were the best predictor of change in behavioral avoidance. These innovative results provide a very detailed and organized picture of the complex cognitive mechanisms involved in therapeutic change following in virtuo exposure for arachnophobia.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.982
Threshold uncertainty score0.904

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.081
GPT teacher head0.375
Teacher spread0.294 · 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