Iana Fominska, Umberto Bilotti, Stefano Di Tore, Gerardo Iovane


In this paper we propose a model to enhance emotional learning in museums by detecting visitor emotions through Google Forms surveys on virtual exhibits. We utilize sentiment analysis and physiological measures to understand emotional states, aiming to improve classification accuracy through multimodal analysis. Additionally, text analysis aids sentiment assessment, emphasizing the crucial role of feedback in visitor engagement.


Emotional Learning, Museum Experience, Textual Sentiment Analysis, Visitor Engagement, Virtual Exhibit.

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DOI: https://doi.org/10.32043/gsd.v8i2.1099


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Italian Journal of Health Education, Sports and Inclusive Didactics 
ISSN: 2532-3296