MétaCan
Menu
Back to cohort
Record W2120690363 · doi:10.1109/cgi.1997.601268

Integrating flying and fish tank metaphors with cyclopean scale

2002· article· en· W2120690363 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.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicRobotic Path Planning Algorithms
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsFish <Actinopterygii>Scale (ratio)Computer scienceMarine engineeringFisheryEnvironmental scienceEngineeringGeographyCartographyBiology

Abstract

fetched live from OpenAlex

In fish tank VR environments, the screen is used as a window into a virtual environment. This effectively creates a useful 3D workspace in the vicinity of the monitor screen, near to the user. However, many geographical applications require the user to cover large virtual distances and to support this a flying interface is often provided. The authors describe a method for combining the flying and fish tank metaphors to create a practical working environment. The central insight developed in the paper is that a geometric transformation that they call the "cyclopean scale" enables the simple combination of flying and fish tank VR interaction metaphors. Cyclopean scale continuously scales the working environment to lie just behind the screen in terms of stereoscopic depth. Cyclopean scale allows for fish tank VR viewing and also places objects at a convenient distance for manipulation, optimizes stereo display parameters and reduces stereo display problems (vergence focus conflict). They have implemented this technique in a system called Fledermaus VR with a cable route editing task. This is an application for planning the layout of submarine cables.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.992
Threshold uncertainty score0.371

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 head0.016
GPT teacher head0.204
Teacher spread0.187 · 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

Citations12
Published2002
Admission routes1
Has abstractyes

Explore more

Same topicRobotic Path Planning AlgorithmsFrench-language works237,207