Several emotion-adaptive systems frameworks have been proposed to enable listeners’ emotional regulation through music reproduction. However, the majority of these frameworks has been implemented only under in-Lab or in-car conditions, in the second case focusing on improving driving performance. Therefore, to the authors’ best knowledge, no research has been conducted for mobility settings, such as trains, planes, yacht, etc. Focusing on this aspect, the proposed approach reports the results obtained from the study of relationship between listener’s induced emotion and music reproduction exploiting an advanced audio system and an innovative technology for face expressions’ recognition. Starting from an experiment in a university lab scenario, with 15 listeners, and a yacht cabin scenario, with 11 listeners, participants’ emotional variability has been deeply investigated reproducing 4 audio enhanced music tracks, to evaluate the listeners’ emotional “sensitivity” to music stimuli. The experimental results indicated that, during the reproduction in the university lab, listeners’ “happiness” and “anger” states were highly affected by the music stimuli and highlighted a possible relationship between music and listeners’ compound emotions. Furthermore, listeners’ emotional engagement was proven to be more affected by music stimuli in the yacht cabin, rather than the university lab.

An Experimentation to Measure the Influence of Music on Emotions

Generosi A.;
2023-01-01

Abstract

Several emotion-adaptive systems frameworks have been proposed to enable listeners’ emotional regulation through music reproduction. However, the majority of these frameworks has been implemented only under in-Lab or in-car conditions, in the second case focusing on improving driving performance. Therefore, to the authors’ best knowledge, no research has been conducted for mobility settings, such as trains, planes, yacht, etc. Focusing on this aspect, the proposed approach reports the results obtained from the study of relationship between listener’s induced emotion and music reproduction exploiting an advanced audio system and an innovative technology for face expressions’ recognition. Starting from an experiment in a university lab scenario, with 15 listeners, and a yacht cabin scenario, with 11 listeners, participants’ emotional variability has been deeply investigated reproducing 4 audio enhanced music tracks, to evaluate the listeners’ emotional “sensitivity” to music stimuli. The experimental results indicated that, during the reproduction in the university lab, listeners’ “happiness” and “anger” states were highly affected by the music stimuli and highlighted a possible relationship between music and listeners’ compound emotions. Furthermore, listeners’ emotional engagement was proven to be more affected by music stimuli in the yacht cabin, rather than the university lab.
2023
978-3-031-35907-1
Affective Computing
Audio Enhancement
Deep Learning
Facial Emotion Recognition
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12607/48841
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