Cross-modal relationships between music, emotion, and visual imagery: A comparative study of Iran, Canada, and Japan [Stage 1 Registered Report Snapshot]
Notice bibliographique
Résumé
Many people experience emotions and visual imagery while listening to music. Previous research has identified cross-modal associations between musical features such as pitch, tempo, and visual features including height, and colour saturation/brightness. But while researchers have explored cross-cultural links between music and emotion as well as music and visual imagery, few studies have simultaneously investigated cross-cultural links between music, visual imagery, and emotion in order to distinguish the role of cultural experiences in contrast to innate perceptual capabilities. We hypothesize that cross-cultural emotion and cross-modal associations encompass both universality and diversity determined by innate perceptual capabilities and cultural experiences respectively and represented by: 1) cross-culturally consistent correlations between high level auditory features and low level visual features and dimensional emotions, 2) cross-cultural diversity in categorical emotional appraisal. In this study, we investigate the relationship between emotion and visual imagery induced by 6 musical excerpts in participants in Japan, Iran, and Canada through forced choice options such as matching excerpts with visual textures that vary in density, as well as dimensional and categorical emotion ratings for each excerpt manipulated in pitch and tempo. In our full manuscript, we will provide our power analysis and provide the details of our planned sample size.We will test the following four hypotheses: 1) tempo correlates with arousal levels cross-culturally, 2) tempo correlates with visual density cross-culturally, 3) emotion category ratings tend to vary between cultures and often even within cultures in response to slow tempo musical excerpts, and 4) emotion ratings show more consistency cross-culturally in response to faster tempo pieces.Each of the hypotheses helps us conclude which cross-modal and emotion associations are 1) cross-culturally consistent, or 2) culturally-dependent. If we find cross-cultural consistency across all three groups, it would suggest physiological link/embodied cognition represented in cross-modal associations. If we find consistency in two cultures only or none at all, it would suggest that cross-modal associations are culturally dependent. We also plan to conduct exploratory analyses of data on colour associations using the Berkeley Colour project stimuli.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».