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Record W2139981420 · doi:10.1186/1753-6561-5-s6-o31

Immersive hand hygiene trainer for physicians – a story-based serious game

2011· article· en· W2139981420 on OpenAlexaff
Hugo Sax, Yves Longtin

Bibliographic record

VenueBMC Proceedings · 2011
Typearticle
Languageen
FieldPsychology
TopicCOVID-19 and Mental Health
Canadian institutionsCentre hospitalier universitaire de Québec
Fundersnot available
KeywordsTrainerHygieneMedicinePromotion (chess)Health careMedical educationNursingMultimediaComputer sciencePathology

Abstract

fetched live from OpenAlex

We inserted filmed sequences based on a plot of two physicians interacting with different patients during ward rounds into an interactive computer interface allowing the physician 'gamer' to decide where to use hand hygiene and disposable gloves. Hand hygiene being a very repetitive and often subconsciously executed task, virtual immersion might increase learning and improve long-term retention. Thus, we used both an emotionally engaging but also distracting plot to create role identity and simulate mental load typical for medical activity on the ward. Design features were refined through individual think-aloud protocols and target group testing. Immediate feedback messages and a result tracking mechanism were added. The design specifications could all be met. The resulting application proofed equally suitable for the training of hand hygiene observers. Computing the user’s results allows for benchmarking. A serious game was successfully launched immersing the ‘gamer’ into the real-life challenge of hand hygiene. Post-launch evaluation and clinical effectiveness have to be performed in a next step.

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 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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.469
Threshold uncertainty score0.714

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 science0.0000.000
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 head0.089
GPT teacher head0.357
Teacher spread0.268 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations4
Published2011
Admission routes1
Has abstractyes

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