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Record W2345465212 · doi:10.1145/2851581.2890369

<i>AS IF</i>

2016· article· en· W2345465212 on OpenAlexaff
Weina Jin, Servet Ulas, Xin Tong

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldNeuroscience
TopicPain Management and Placebo Effect
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsEmpathyChronic painPsychologyComputer scienceSerious gamePsychotherapistCognitive psychologyHuman–computer interactionSocial psychologyMultimediaPsychiatry

Abstract

fetched live from OpenAlex

Pain is both a universal and unique experience for its sufferers. Nonetheless, pain is also invisible and incommunicable that it becomes difficult for the public to understand or even believe the suffering, especially for the persistent form of pain: Chronic Pain. Therefore, we designed and developed the game -- AS IF -- to foster non-patients' empathy for Chronic Pain sufferers. In this game, players engage with the connecting dots tasks through whole body interaction. After they generate the connection with their virtual body, they will experience a certain degree of activity limitation that mimics one of the sufferings of Chronic Pain. In this paper, we introduce the game design that facilitates the enhancement of empathy for Chronic Pain experience, and illustrate how this game acts as a form of communication media that may help to enhance understanding.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.836
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0020.008

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 head0.021
GPT teacher head0.254
Teacher spread0.233 · 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; both teacher heads agree on what is shown here.

Study designBench or experimental
Domainnot available
GenreOther

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

Citations7
Published2016
Admission routes1
Has abstractyes

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