Inter-subject correlation of audience facial expressions predicts audience engagement during theatrical performances

Oakes, Richard A.; Peschel, Lisa; Barraclough, Nick E.

doi:10.1016/j.isci.2024.109843

iScience

2024

DOI: 10.1016/j.isci.2024.109843

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Inter-subject correlation of audience facial expressions predicts audience engagement during theatrical performances

Richard A. Oakes,

Lisa Peschel,

Nick E. Barraclough

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Únicos, mas não incomparáveis: abordagens para identificação de similaridades em respostas emocionais de diferentes indivíduos ao mesmo estímulo audiovisual

Aguiar,

Esteves,

Júnior

et al. 2024

Proceedings of the 30th Brazilian Symposium on Multimedia and the Web (WebMedia 2024)

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Understanding human emotional behavior is a complex but essential task when aiming to offer a better user experience through the incorporation of Affective Computing techniques. The integration of these techniques can lead to more intuitive and emotionally intelligent interactions between users and systems. In a society characterized by ethnic and cultural diversity, it is also necessary to understand how different individuals react to a given stimulus so that adaptations and interventions in the software can be effective. In this context, this study discusses two approaches to comparing emotional responses of different individuals to the same emotional stimulus. By leveraging advanced data analysis and machine learning methods, the research aims to provide deeper insights into emotional patterns. In addition to highlighting the importance of discussing the characteristics and particularities of each approach, the study presents a validation of these approaches, identifying similarities - and distinctions - in the emotional responses of 39 individuals. The results not only demonstrate the effectiveness of the approaches but also suggest their complementarity.

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Únicos, mas não incomparáveis: abordagens para identificação de similaridades em respostas emocionais de diferentes indivíduos ao mesmo estímulo audiovisual

Aguiar,

Esteves,

Júnior

et al. 2024

Proceedings of the 30th Brazilian Symposium on Multimedia and the Web (WebMedia 2024)

View full text Add to dashboard Cite

show abstract

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Inter-subject correlation of audience facial expressions predicts audience engagement during theatrical performances

Cited by 1 publication

References 73 publications

Únicos, mas não incomparáveis: abordagens para identificação de similaridades em respostas emocionais de diferentes indivíduos ao mesmo estímulo audiovisual

Únicos, mas não incomparáveis: abordagens para identificação de similaridades em respostas emocionais de diferentes indivíduos ao mesmo estímulo audiovisual

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