MétaCan
Menu
Back to cohort
Record W2051900567 · doi:10.1109/3dui.2013.6550235

Poster: Paving the way into virtual reality - A transition in five stages

2013· article· en· W2051900567 on OpenAlexaff
Daniel Sproll, Jacob Freiberg, Timofey Grechkin, Bernhard E. Riecke

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicVirtual Reality Applications and Impacts
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsAnticipation (artificial intelligence)Transition (genetics)Virtual realityHuman–computer interactionComputer scienceMetaphorWork (physics)User interfaceMental modelCognitive sciencePsychologyEngineeringArtificial intelligence

Abstract

fetched live from OpenAlex

Many of today's virtual reality (VR) setups are very much focused on technical aspects rather then the benefits of a coherent user experience. This work explores the idea of enhancing the VR experience with a transition phase. On a physical level, this transition offers the user a meaningful metaphor for entering a new world, mimicking a real physical translation from one place to another. On a mental level, it captures the user's attention and evokes anticipation and involvement with the final goal of engaging the user's mind in active co-creation of the experience. We present a conceptual model of a 5-stage transition and describe an implementation we are currently developing, including possible evaluation procedures.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.552
Threshold uncertainty score0.998

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 communication0.0000.001
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 head0.019
GPT teacher head0.270
Teacher spread0.250 · 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 designOther design
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

Citations14
Published2013
Admission routes1
Has abstractyes

Explore more

Same topicVirtual Reality Applications and ImpactsFrench-language works237,207