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Record W4406265818 · doi:10.1109/ismar62088.2024.00133

Exploring Finger-Worn Solutions for Transitioning between the Reality-Virtuality Continuum

2024· article· en· W4406265818 on OpenAlexaff
Satabdi Das, Arshad Nasser, Khalad Hasan

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicVirtual Reality Applications and Impacts
Canadian institutionsOkanagan University CollegeUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
Fundersnot available
KeywordsVirtuality (gaming)Virtual realityComputer scienceMixed realityHuman–computer interactionArtificial intelligence

Abstract

fetched live from OpenAlex

Head-mounted displays (HMDs) enable users to navigate the Reality-Virtuality Continuum, facilitating transitions between the Real world, Augmented Reality, Augmented Virtuality, and the Virtual world. Traditional transition methods use double taps on HMDs or buttons on handheld controllers to transition between the worlds. However, this can often disrupt hands-free interaction and hinder the overall immersion. Although prior work explored transitioning within a reality, little is known about solutions facilitating transitioning across multiple worlds. In this paper, we investigate index finger-based solutions for transitioning between multiple realities. We designed and fabricated finger-worn button configurations of 2 × 2, 2 × 1, and 4 × 1, and compared them with finger-worn solutions such as Joystick, Rotary wheel, and Slider. The results showed that the 2 × 2 button configuration is the most effective technique, minimizing trial time and ensuring user comfort. Overall, this research enhances VR user experiences by improving interaction techniques for fluid switching between realities in the Reality-Virtuality Continuum.

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)0.001
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.988
Threshold uncertainty score0.596

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
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 head0.342
GPT teacher head0.346
Teacher spread0.004 · 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 designTheoretical or conceptual
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

Citations3
Published2024
Admission routes1
Has abstractyes

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