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Record W2912041194

Proceedings of the 18th ACM symposium on Virtual reality software and technology

2012· article· en· W2912041194 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicRobotics and Automated Systems
Canadian institutionsYork UniversityOntario Tech University
Fundersnot available
KeywordsVirtual realityPresentation (obstetrics)Computer scienceProcess (computing)PleasureSoftwareLibrary sciencePsychologyHuman–computer interaction
DOInot available

Abstract

fetched live from OpenAlex

It is our great pleasure to welcome you to the 2012 ACM Symposium on Virtual Reality Software and Technology -- VRST'12. VRST has become one of the major scientific events in the area of virtual reality since its debut in 1994 in Singapore. The symposium continues its tradition as an international forum for the presentation of research results and experience reports on leading edge issues of software, hardware and systems for Virtual Reality. The mission of the symposium is to share novel technologies that fulfill the needs of Virtual Reality applications and environments and to identify new directions for future research and development. VRST gives researchers and practitioners a unique opportunity to share their perspectives with others interested in the various aspects of Virtual Reality and owes its existence to a vibrant and productive research community. This year, VRST was held December 10-12, 2012 in Toronto, Ontario, Canada. The call for papers attracted 88 submissions from Asia, Europe, Australia, and North and South America in all areas of Virtual Reality research. Particular attention was given to work on system with a special track focusing on architectures, frameworks, reusability, adaptivity, and performance testing and evaluation. An international program committee consisting of 16 experts in the topic areas and the three program chairs handled the highly competitive and selective review process. Almost every submission received four or more reviews, two from members of the international program committee and two from external reviewers. Reviewing was double-blind, where only the program chairs and the program committee member assigned to identify external reviewers knew the identity of the authors. In the end, the program committee was able to accept 25 out of 88 submissions, which corresponds to an acceptance rate of 28%. For posters, 15 out of 32 submissions will appear in the proceedings. The topics range from tracking, augmented and mixed reality, interaction, navigation and locomotion, collaboration, haptics, simulation, agents and behaviors to two sessions for a systems track. We hope that these proceedings will serve as a valuable reference for Virtual Reality researchers and developers.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.343
Threshold uncertainty score0.164

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 head0.011
GPT teacher head0.211
Teacher spread0.200 · 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

Quick stats

Citations0
Published2012
Admission routes2
Has abstractyes

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