Looking at Aesthetic Emotions in Advertising Research Through a Psychophysiological Perspective
Bibliographic record
Abstract
Do usual commercials elicit the full spectrum of emotions? For this perspective paper, we posit that they do not. Concepts and measures related to the adaptive functions and well-being areas of emotion research cannot simply be transferred for use in advertising research. When a commercial elicits emotions, the emotions staged in the commercial must not be directly associated with the emotions felt by consumers when exposed to those commercials. This is why "aesthetic" emotions seem more appropriate than "utilitarian" emotions in advertising research, with the former generally felt more significantly than they are acted upon. Aesthetic emotions elicit limited physiological change, and they rely on the intrinsic pleasantness appraisal of commercials. Accordingly, pleasure and displeasure-as observed through expressive and subjective components of aesthetic emotion-often form the first and only step of commercial appraisal, and they are directed toward attitude formation rather than overt behaviors. Our preliminary psychophysiological study shows this by investigating the contributions of psychophysiological and self-reported measures of aesthetic emotions induced by commercials to explain attitudes toward advertisements. The results show that only two components of aesthetic emotion positively influenced attitudes toward the advertisements: expressive (measured by facial electromyography) and subjective (measured by the self-assessment manikin scale). Also, the subjective component of aesthetic emotion partially mediates the effects of the expressive components on attitudes toward the ads. Our exploratory study illustrates the relevance of focusing on aesthetic emotions in advertising research. It also shed new light on the contributions of the physiological, expressive, and subjective feelings components of aesthetic emotions in advertising effectiveness.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".