{"title":"Dominance of Audio Features in Audience Emotion: A Multimodal EEG Analysis of Music Videos","authors":"Jiaxuan Wang, Yuqing Liu, Yao Song","doi":"10.1177/02762374261426246","DOIUrl":null,"url":null,"abstract":"This study investigates how auditory, visual, and lyrical features in music videos shape emotional responses, using EEG data from 26 participants. Five widely viewed music videos were selected based on their global popularity and cross-cultural appeal. A CNN–LSTM model classified emotional states with 97.67% accuracy, and complementary regression results showed strong generalization (best model RMSE = 0.15, MAE = 0.10). Feature selection reduced 27 candidates to a sparse set dominated by auditory and visual cues, and SHAP interpretation revealed a clear modality hierarchy: pitch- and dynamics-related auditory features accounted for the largest share of predictive importance, visual color properties (hue, saturation) provided secondary influence, and lyrical sentiment contributed least. These findings support neuroaesthetic accounts in which low-level sensory structure drives rapid affective appraisal, with visual tone refining emotional meaning. Practically, the results suggest that deliberate control of pitch/dynamics can reliably steer emotional engagement in music-video creation for diverse audiences.","PeriodicalId":45870,"journal":{"name":"Empirical Studies of the Arts","volume":"12 1","pages":""},"PeriodicalIF":1.5000,"publicationDate":"2026-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Empirical Studies of the Arts","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1177/02762374261426246","RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"HUMANITIES, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
This study investigates how auditory, visual, and lyrical features in music videos shape emotional responses, using EEG data from 26 participants. Five widely viewed music videos were selected based on their global popularity and cross-cultural appeal. A CNN–LSTM model classified emotional states with 97.67% accuracy, and complementary regression results showed strong generalization (best model RMSE = 0.15, MAE = 0.10). Feature selection reduced 27 candidates to a sparse set dominated by auditory and visual cues, and SHAP interpretation revealed a clear modality hierarchy: pitch- and dynamics-related auditory features accounted for the largest share of predictive importance, visual color properties (hue, saturation) provided secondary influence, and lyrical sentiment contributed least. These findings support neuroaesthetic accounts in which low-level sensory structure drives rapid affective appraisal, with visual tone refining emotional meaning. Practically, the results suggest that deliberate control of pitch/dynamics can reliably steer emotional engagement in music-video creation for diverse audiences.
期刊介绍:
Empirical Studies of the Arts (ART) aims to be an interdisciplinary forum for theoretical and empirical studies of aesthetics, creativity, and all of the arts. It spans anthropological, psychological, neuroscientific, semiotic, and sociological studies of the creation, perception, and appreciation of literary, musical, visual and other art forms. Whether you are an active researcher or an interested bystander, Empirical Studies of the Arts keeps you up to date on the latest trends in scientific studies of the arts.