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Record W2810120574 · doi:10.1002/acp.3425

Within a hair's breadth of buying the product: The impact of tangible and intangible bodily cues of contamination: The role of disgust and mental imagery

2018· article· en· W2810120574 on OpenAlexfundno aff
Jessica Gérard, Agnès Helme-Guizon

Bibliographic record

VenueApplied Cognitive Psychology · 2018
Typearticle
Languageen
FieldNeuroscience
TopicPsychology of Moral and Emotional Judgment
Canadian institutionsnot available
FundersUniversity of Alberta
KeywordsDisgustContaminationPsychologyProduct (mathematics)Cognitive psychologySocial psychologyAngerEcologyMathematics

Abstract

fetched live from OpenAlex

Summary In most retail environments, customers can handle products. However, the downside of this freedom to touch products is product contamination. The objectives of this paper are threefold: (a) to examine the effects of contamination cues (tangible vs. intangible) on consumer responses; (b) to show the mediating role of contamination, disgust, and mental imagery; and (c) to assess the robustness of the results on three product categories for different levels of contact intimacy. Three experimental laboratory studies on different product categories (a book [ n = 95], T‐shirt [ n = 118], and apple [ n = 102]) showed that tangible contamination cues decreased product evaluation and purchase intentions more than intangible contamination cues did. Moreover, contamination, disgust, and mental imagery mediated the effects of contamination cues on product evaluation and purchase intention. The findings provide theoretical and practical insights to help researchers and retailers understand the effect of tangible contamination cues on consumer responses.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.353
Threshold uncertainty score0.999

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 studies0.0000.003
Scholarly communication0.0000.000
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 head0.039
GPT teacher head0.318
Teacher spread0.278 · 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.

Study designBench or experimental
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

Citations9
Published2018
Admission routes1
Has abstractyes

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