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Record W3216616987 · doi:10.1145/3489849.3489878

PAIR: Phone as an Augmented Immersive Reality Controller

2021· article· en· W3216616987 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
TopicAugmented Reality Applications
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsHeadsetComputer scienceAugmented realityHuman–computer interactionRendering (computer graphics)3D interactionModalitiesVirtual realityInteraction techniqueGesturePhoneComputer graphics (images)Artificial intelligence

Abstract

fetched live from OpenAlex

Immersive head-mounted augmented reality allows users to overlay 3D digital content on a user’s view of the world. Current-generation devices primarily support interaction modalities such as gesture, gaze and voice, which are readily available to most users yet lack precision and tactility, rendering them fatiguing for extended interactions. We propose using smartphones, which are also readily available, as companion devices complementing existing AR interaction modalities. We leverage user familiarity with smartphone interactions, coupled with their support for precise, tactile touch input, to unlock a broad range of interaction techniques and applications - for instance, turning the phone into an interior design palette, touch-enabled catapult or AR-rendered sword. We describe a prototype implementation of our interaction techniques using an off-the-shelf AR headset and smartphone, demonstrate applications, and report on the results of a positional accuracy study.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.969
Threshold uncertainty score0.674

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.024
GPT teacher head0.292
Teacher spread0.269 · 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

Citations16
Published2021
Admission routes1
Has abstractyes

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