A Meta-Methodology for User Evaluation of Artificial Intelligence Generated Music; Using the Analytical Hierarchy Process, Likert and Emotional State Estimations

dc.contributor.authorMiguel Civit
dc.contributor.authorVéronique Drai-Zerbib
dc.contributor.authorFrancisco Cuadrado
dc.contributor.authorMaría José Escalona
dc.coverage.spatialBolivia
dc.date.accessioned2026-03-22T15:39:14Z
dc.date.available2026-03-22T15:39:14Z
dc.date.issued2025
dc.descriptionCitaciones: 1
dc.identifier.doi10.1080/10447318.2025.2478265
dc.identifier.urihttps://doi.org/10.1080/10447318.2025.2478265
dc.identifier.urihttps://andeanlibrary.org/handle/123456789/53626
dc.language.isoen
dc.publisherTaylor & Francis
dc.relation.ispartofInternational Journal of Human-Computer Interaction
dc.sourceUniversidad Loyola
dc.subjectLikert scale
dc.subjectAnalytic hierarchy process
dc.subjectComputer science
dc.subjectProcess (computing)
dc.subjectEmotional intelligence
dc.subjectArtificial intelligence
dc.subjectHierarchy
dc.subjectState (computer science)
dc.subjectPsychology
dc.titleA Meta-Methodology for User Evaluation of Artificial Intelligence Generated Music; Using the Analytical Hierarchy Process, Likert and Emotional State Estimations
dc.typearticle

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