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Record W2766610290 · doi:10.1145/3131785.3131828

Raising the Heat

2017· article· en· W2766610290 on OpenAlexaff
Pascal E. Fortin, Jeffrey R. Blum, Jeremy R. Cooperstock

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicVirtual Reality Applications and Impacts
Canadian institutionsMcGill University
Fundersnot available
KeywordsVirtual realityHaptic technologyIllusionComputer sciencePerceptionHuman–computer interactionRaising (metalworking)Immersion (mathematics)Work (physics)SimulationPsychologyCognitive psychologyEngineering

Abstract

fetched live from OpenAlex

Virtual Reality (VR) has numerous mechanisms for making a virtual scene more compellingly real. Most effort has been focused on visual and auditory techniques for immersive environments, although some commercial systems now include relatively crude haptic effects through handheld controllers or haptic suits. We present results from a pilot experiment demonstrating the use of Electrical Muscle Stimulation (EMS) to trick participants into thinking a surface is dangerously hot even though it is below 50C. This is accomplished by inducing an artificial heat withdrawal reflex by contracting the participant's bicep shortly after contact with the virtual hot surface. Although the effects of multiple experimental confounds need to be quantified in future work, results so far suggest that EMS could potentially be used to modify temperature perception in VR and AR contexts. Such an illusion has applications for VR gaming as well as emergency response and workplace training and simulation, in addition to providing new insights into the human perceptual system.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.989
Threshold uncertainty score0.611

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 studies0.0010.000
Scholarly communication0.0010.000
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 head0.090
GPT teacher head0.344
Teacher spread0.254 · 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 designTheoretical or conceptual
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
Published2017
Admission routes1
Has abstractyes

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