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Record W4313642954 · doi:10.31234/osf.io/2fyv7

sychology of Aesthetics, Creativity, and the Arts Immersive-360° theatre: user experience in the virtual auditorium and platform efficacy for current and underserved audiences

2023· preprint· en· W4313642954 on OpenAlexaff
Abigail Webb, Paul B. Hibbard, J. W. Dawson, Loes van Dam, Jordi M. Asher, Leo Kellgren Parker

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldComputer Science
TopicVirtual Reality Applications and Impacts
Canadian institutionsYork University
FundersEconomic and Social Research Council
KeywordsPerceptionThe artsPsychologyCreativityImmersion (mathematics)Performing artsUser experience designVirtual realityMultimediaComputer scienceHuman–computer interactionVisual artsSocial psychologyArt

Abstract

fetched live from OpenAlex

The present study explores the efficacy and social potential of immersive-360° theatre– live captured theatre performances filmed for virtual reality viewing - as a remoteplatform for audiences to view theatre. We obtained survey and structured interviewresponses from 166 and 30 participants, respectively, self-categorised as regulartheatregoers, novices, and underserved audiences. We measured immersion,presence, and emotional arousal in the virtual auditorium, technology acceptance, andsocial perceptions including its compatibility with traditional theatre and use as a social,wellbeing, and accessibility tool. Findings show that in the immersive-360° theatreauditorium ratings for presence and immersion are mixed, and the latter is likely to beinfluenced by external factors including hardware quality and environmental distractors.For most, immersive-360° theatre is regarded as a positive tool for wellbeing andaccessibility, but many highlighted the absence of social aspects which are central tothe traditional theatre experience and cannot be replicated in such remote conditions.Despite this, the experience was enjoyable for most participants, and crucially, amajority of participants do not perceive immersive-360° theatre as a “threat” to itstraditional counterpart. Rather, with certain improvements it is seen as a compatibleand complementary offering that has potential for use as a digital offering forunderserved audiences and recruiting new patrons. Suggestions for improving thequality of the VR theatre experience and its potential as an accessibility tool includedimproving headset quality and resolution, additional accessibility and user controls, andimportantly the ability to share the experience with another in real-time.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.003
Scholarly communication0.0040.001
Open science0.0000.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.129
GPT teacher head0.373
Teacher spread0.244 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations0
Published2023
Admission routes1
Has abstractyes

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