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Record W2549905515 · doi:10.1145/2992154.2992167

Physical-Digital Privacy Interfaces for Mixed Reality Collaboration

2016· article· en· W2549905515 on OpenAlexaff
Mohamad H. Salimian, Derek Reilly, Stephen Brooks, Bonnie MacKay

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicVirtual Reality Applications and Impacts
Canadian institutionsDalhousie University
Fundersnot available
KeywordsComputer scienceAvatarHuman–computer interactionMixed realityVirtual realityCuriosityMultimediaInternet privacyWorld Wide WebPsychology

Abstract

fetched live from OpenAlex

We present a study exploring privacy behaviours in mixed reality collaborative environments. We consider two scenarios involving hiding and sharing blended physical-virtual documents around a tabletop, under two vertical display conditions: a solo display showing the remote collaborator as an avatar, and circumambient displays showing the rest of the connected virtual environment. We explore four types of cues (interactive, communication-based, ambient, and infrastructure) and their impact on how collaborators hide and share blended physical-virtual documents. Many participants did not obviously develop a sense that the physical and virtual surroundings were fused; as a result, certain physical privacy behaviours (e.g., orienting one's body to shield documents from the remote collaborator) were less apparent in the study. However, the circumambient displays generated curiosity about how the spaces were connected, and episodes where breaches were enacted or the spatial correlation was otherwise suggested led some participants to trust the environment less. On the table, the presence of fiducial markers and digital document "shadows" served to cue participants about the impact of hiding and sharing physical documents, however accidental breaches usually went unnoticed.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.894
Threshold uncertainty score0.262

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 head0.034
GPT teacher head0.320
Teacher spread0.285 · 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

Citations4
Published2016
Admission routes1
Has abstractyes

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