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Record W4413193203 · doi:10.1080/14626268.2025.2543452

From the comfort of home: examining consumer virtual reality use in the home

2025· article· en· W4413193203 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueDigital Creativity · 2025
Typearticle
Languageen
FieldComputer Science
TopicVirtual Reality Applications and Impacts
Canadian institutionsUniversity of Waterloo
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsVirtual realityHuman–computer interactionHome automationComputer scienceMultimediaAugmented realityAestheticsInternet privacyArtTelecommunications

Abstract

fetched live from OpenAlex

Despite the hype that has driven mass-market consumer virtual reality (VR), research relating to the at-home use of these technologies is underexplored. The contexts, responses, and experiences of people who use VR offer insight into the ways that VR is becoming a domestic technology. Applying methods drawn from digital ethnography, our research asks how participants interpret their use of VR in the home, and how they integrate it into their social, personal, and material contexts. We examine data consisting of interviews, images, and videos from participants (n = 15) across 10 countries to begin to chart the complexities of the real-world conditions of VR. Our findings show that as these participants make efforts to creatively integrate VR into their everyday routines, the enjoyment that they describe is entwined with a variety of difficulties, demonstrating that consumer VR offloads a burden of adaptation onto the people who bring these technologies into their homes.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.565
Threshold uncertainty score0.478

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 studies0.0000.000
Scholarly communication0.0000.001
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 head0.062
GPT teacher head0.303
Teacher spread0.240 · 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