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Record W3109870529 · doi:10.1121/1.5146928

The effect of virtual reality environments on auditory memory

2020· article· en· W3109870529 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

VenueThe Journal of the Acoustical Society of America · 2020
Typearticle
Languageen
FieldPsychology
TopicVisual and Cognitive Learning Processes
Canadian institutionsUniversity of British Columbia Hospital
Fundersnot available
KeywordsVirtual realityRecallContext (archaeology)Computer scienceEchoic memoryVirtual machineHuman–computer interactionMultimediaCognitive psychologyPsychologyCognition

Abstract

fetched live from OpenAlex

Auditory recall is stronger in the environment in which a memory was originally encoded, an effect of context-dependent memory (CM) [Godden and Baddeley, Brit. J. Psychol.66(3), 325–331 (1975)]. Innovations in virtual reality (VR) have resulted in the adoption of VR as a communication platform in professional, medical, and educational contexts. The present study reports an experiment testing how CM impacts auditory memory across differing VR environments. An experiment will be described in which participants in one of two distinct virtual environments (e.g., beach and forest) within the VR-communication platform AltSpace hear three iterations of a pre-recorded list of 16 words controlled for frequency and syllable count. Participants are tested for recall of the word-list in either the same or the differing virtual environment. Improved accuracy when tested in the same environment would suggest that CM can be observed for auditory memory between virtual environments. Preliminary results indicate a potential context-dependent effect between virtual environments. Results will be discussed, with implications for professional, medical, and pedagogical applications in virtual settings.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.429
Threshold uncertainty score0.447

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.018
GPT teacher head0.307
Teacher spread0.289 · 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