Analysing the impact of images and text for predicting human creativity through encoders

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dc.contributor.authorPikatza Huerga, Amaia
dc.contributor.authorMatanzas de Luis, Pablo
dc.contributor.authorFernandez De Retana Uribe, Miguel
dc.contributor.authorPeña Lasa, Javier
dc.contributor.authorZulaika Zurimendi, Unai
dc.contributor.authorAlmeida, Aitor
dc.date.accessioned2025-11-05T08:43:38Z
dc.date.available2025-11-05T08:43:38Z
dc.date.issued2025
dc.date.updated2025-11-05T08:43:38Z
dc.descriptionPonencia presentada en la 11th International Conference on Information and Communication Technologies for Ageing Well and e-Health, celebrada en Porto, entre el 6 y el 8 de abril de 2025es
dc.description.abstractThis study explores the application of multimodal machine learning techniques to evaluate the originality and complexity of drawings. Traditional approaches in creativity assessment have primarily focused on visual analysis, often neglecting the potential insights derived from accompanying textual descriptions. The research assesses four target features: drawings’ originality, flexibility and elaboration level, and titles’ creativity, all labelled by expert psychologists. The research compares different image encoding and text embeddings to examine the effectiveness and impact of individual and combined modalities. The results indicate that incorporating textual information enhances the predictive accuracy for all features, suggesting that text provides valuable contextual insights that images alone may overlook. This work demonstrates the importance of a multimodal approach in creativity assessment, paving the way for more comprehensive and nuanced evaluations of artistic expression.en
dc.identifier.citationPikatza-Huerga, A., Matanzas de Luis, P., Uribe, M. F.-D.-R., Lasa, J. P., Zulaika, U., & Almeida, A. (2025). Analysing the Impact of Images and Text for Predicting Human Creativity Through Encoders. International Conference on Information and Communication Technologies for Ageing Well and e-Health, ICT4AWE - Proceedings, 15-24. https://doi.org/10.5220/0013203600003938
dc.identifier.doi10.5220/0013203600003938
dc.identifier.eissn2184-4984
dc.identifier.isbn9789897587436
dc.identifier.urihttps://hdl.handle.net/20.500.14454/4271
dc.language.isoeng
dc.publisherScience and Technology Publications, Lda
dc.subject.otherArtistic expression
dc.subject.otherCreativity assessment
dc.subject.otherEEG
dc.subject.otherMachine learning
dc.subject.otherOriginality evaluation
dc.subject.otherText and image analysis
dc.titleAnalysing the impact of images and text for predicting human creativity through encodersen
dc.typeconference paper
dcterms.accessRightsmetadata only access
oaire.citation.endPage24
oaire.citation.startPage15
oaire.citation.titleInternational Conference on Information and Communication Technologies for Ageing Well and e-Health, ICT4AWE - Proceedings
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