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Record W2007192081 · doi:10.5539/ijms.v3n3p42

Running Head: Hemispheric Processing of Slogans Brand Familiarity in Advertisement Slogans: The Role of the Left and Right Cerebral Hemispheres

2011· article· en· W2007192081 on OpenAlexvenueno aff
Kristy Vance, Sandra Virtue

Bibliographic record

VenueInternational Journal of Marketing Studies · 2011
Typearticle
Languageen
FieldPsychology
TopicLanguage, Metaphor, and Cognition
Canadian institutionsnot available
Fundersnot available
KeywordsAdvertisingPsychologyLateralization of brain functionReading (process)Affect (linguistics)Left and rightCognitive psychologyCommunicationBusinessLinguistics

Abstract

fetched live from OpenAlex

Previous research shows that brand familiarity can affect purchase behavior, such that a familiar brand will be preferred over a less familiar brand. Previous research also shows that the use of metaphoric advertisements increases purchase intent. However, it is unknown how consumers implicitly process familiar brands when reading advertisements. Through the divided visual field paradigm, we investigated how the left and right cerebral hemispheres process familiar brands when presented with advertisement slogans. Participants in this experiment read familiar brand names and were presented with metaphoric, literal, or neutral slogans. Participants responded to related target words briefly shown to either the right or left hemisphere. The right hemisphere showed greater facilitation for literal than for metaphoric slogans when consumers were presented with familiar brands. Purchase intent ratings were higher when targets were presented to the left hemisphere. These findings suggest that brand familiarity influences consumers’ processing of slogans in the right hemisphere and affects purchase intent ratings in the left hemisphere.

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)0.001
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 score0.040
Threshold uncertainty score0.252

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.020
GPT teacher head0.299
Teacher spread0.279 · 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.

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

Citations5
Published2011
Admission routes1
Has abstractyes

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