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Record W2893560977 · doi:10.7193/dm.091.79.95

Miroir, mon beau miroir, facilite mes choix ! L’influence de l’essayage virtuel dans un contexte omnicanal

2018· article· fr· W2893560977 on OpenAlex
Aurélie Merle, Sylvain Sénécal, St-Onge Anik

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

VenueDécisions Marketing · 2018
Typearticle
Languagefr
FieldBusiness, Management and Accounting
TopicConsumer Retail Behavior Studies
Canadian institutionsHEC Montréal
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Cet article étudie l’influence de l’essayage virtuel en réalité augmentée (RA) sur l’efficience perçue du processus de choix dans un contexte omnicanal. Une expérimentation en ligne est réalisée en utilisant l’application de RA My Sephora Artist , permettant d’essayer virtuellement des rouges à lèvres sur soi. En ligne, l’essayage virtuel rend le processus de choix plus efficient pour les consommatrices ayant une faible fréquence d’achat de maquillage sur Internet, menant à une intention d’achat plus élevée. L’efficience perçue est également étudiée dans le cadre d’une expérience de webrooming et d’une expérience phygitale. Finalement, les implications managériales de ces résultats sont discutées.

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)0.005
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.257
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0030.002
Scholarly communication0.0010.002
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.015
GPT teacher head0.256
Teacher spread0.241 · 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