Mesz Bruno, Tedesco Sebastián, Reinoso-Carvalho Felipe, Ter Horst Enrique, Molina German, Gunn Laura H, Küssner Mats B
Instituto de Investigación en Arte y Cultura, Universidad Nacional de Tres de Febrero, Sáenz Peña, Argentina.
Programa de Investigación STSEAS, EUdA, UNQ, Bernal, Argentina.
Front Psychol. 2023 Aug 31;14:1168258. doi: 10.3389/fpsyg.2023.1168258. eCollection 2023.
Music is known to elicit strong emotions in listeners, and, if primed appropriately, can give rise to specific and observable crossmodal correspondences. This study aimed to assess two primary objectives: (1) identifying crossmodal correspondences emerging from music-induced emotions, and (2) examining the predictability of music-induced emotions based on the association of music with visual shapes and materials.
To achieve this, 176 participants were asked to associate visual shapes and materials with the emotion classes of the Geneva Music-Induced Affect Checklist scale (GEMIAC) elicited by a set of musical excerpts in an online experiment.
Our findings reveal that music-induced emotions and their underlying core affect (i.e., valence and arousal) can be accurately predicted by the joint information of musical excerpt and features of visual shapes and materials associated with these music-induced emotions. Interestingly, valence and arousal induced by music have higher predictability than discrete GEMIAC emotions.
These results demonstrate the relevance of crossmodal correspondences in studying music-induced emotions. The potential applications of these findings in the fields of sensory interactions design, multisensory experiences and art, as well as digital and sensory marketing are briefly discussed.
众所周知，音乐能引发听众强烈的情感，并且，如果得到适当的引导，还能产生特定且可观察到的跨模态对应关系。本研究旨在评估两个主要目标：（1）识别由音乐引发的情感所产生的跨模态对应关系，以及（2）基于音乐与视觉形状和材料的关联来检验音乐引发情感的可预测性。
为实现这一目标，在一项在线实验中，176名参与者被要求将视觉形状和材料与一组音乐片段所引发的日内瓦音乐引发情感检查表量表（GEMIAC）的情感类别相关联。
我们的研究结果表明，音乐引发的情感及其潜在的核心情感（即效价和唤醒）可以通过音乐片段以及与这些音乐引发情感相关的视觉形状和材料的特征的联合信息准确预测。有趣的是，音乐引发的效价和唤醒比离散的GEMIAC情感具有更高的可预测性。
这些结果证明了跨模态对应关系在研究音乐引发情感方面的相关性。简要讨论了这些发现在感官交互设计、多感官体验和艺术以及数字和感官营销领域的潜在应用。
