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Record W2619281769 · doi:10.1186/s13673-015-0037-y

INSPECT: extending plane-casting for 6-DOF control

2015· article· en· W2619281769 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

VenueHuman-centric Computing and Information Sciences · 2015
Typearticle
Languageen
FieldComputer Science
TopicInteractive and Immersive Displays
Canadian institutionsMcMaster University
Fundersnot available
KeywordsTranslation (biology)Task (project management)Computer scienceRotation (mathematics)Human–computer interactionComputer visionObject (grammar)Space (punctuation)Plane (geometry)Control (management)Artificial intelligenceEngineering drawingComputer graphics (images)EngineeringMathematicsGeometry

Abstract

fetched live from OpenAlex

Abstract INSPECT is a novel interaction technique for 3D object manipulation using a rotation-only tracked touch panel. Motivated by the applicability of the technique on smartphones, we explore this design space by introducing a way to map the available degrees of freedom and discuss the design decisions that were made. We subjected INSPECT to a formal user study against a baseline wand interaction technique using a Polhemus tracker. Results show that INSPECT is 12% faster in a 3D translation task while at the same time being 40% more accurate. INSPECT also performed similar to the wand at a 3D rotation task and was preferred by the users overall.

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)0.001
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: Empirical · Consensus signal: none
Teacher disagreement score0.962
Threshold uncertainty score0.631

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.004
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 head0.055
GPT teacher head0.322
Teacher spread0.267 · 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