How we relate to brands: Psychological and neurophysiological insights into consumer–brand relationships
Bibliographic record
Abstract
Abstract In three experiments, this research provides new insights into branding by studying the psychological and neurophysiological mechanisms of how consumers relate to their beloved brands. The authors propose that emotional arousal decreases over the brand relationship span, while inclusion of the brand into the self increases over time. Results of experiment 1 indicate greater self‐reported emotional arousal for recently formed brand relationships, as well as decreased emotional arousal and increased inclusion of close brands over time. Additionally, the moderating role of usage frequency of the brand brings out an interesting nuance of the way these effects operate. Experiment 2 measures skin conductance responses and reveals increased emotional arousal for recently formed close relationships but not for established close brand relationships, corroborating the results based on self‐reported data. In experiment 3, a functional magnetic resonance imaging study reveals an association between established close relationships and activation of the insula, a brain area previously found to be a crucial mechanism in diverse but related psychological phenomena such as urging, addiction, loss aversion, and interpersonal love.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".