Artificial Intelligence Algorithms for the Analysis of User Experience in Palazzo Braschi Museum

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dc.contributor.authorCeccarelli, Sofiaen_US
dc.contributor.authorCesta, Amedeoen_US
dc.contributor.authorCortellessa, Gabriellaen_US
dc.contributor.authorBenedictis, Riccardo Deen_US
dc.contributor.authorFracasso, Francescaen_US
dc.contributor.authorLeopardi, Lauraen_US
dc.contributor.authorLigios, Lucaen_US
dc.contributor.authorLombardi, Ernestoen_US
dc.contributor.authorMalatesta, Saverio Giulioen_US
dc.contributor.authorOddi, Angeloen_US
dc.contributor.authorPagano, Alfonsinaen_US
dc.contributor.authorPalombini, Augustoen_US
dc.contributor.authorRomagna, Gianmauroen_US
dc.contributor.authorSanzari, Martaen_US
dc.contributor.authorSchaerf, Marcoen_US
dc.contributor.editorBucciero, Albertoen_US
dc.contributor.editorFanini, Brunoen_US
dc.contributor.editorGraf, Holgeren_US
dc.contributor.editorPescarin, Sofiaen_US
dc.contributor.editorRizvic, Selmaen_US
dc.date.accessioned2023-09-02T07:44:44Z
dc.date.available2023-09-02T07:44:44Z
dc.date.issued2023
dc.description.abstractAnalysing visitors' behaviour in museums and cultural sites is a key element to manage spaces and artworks arrangement. Museum stakeholders and curators may benefit from technology to improve the visit experience. This paper presents the preliminary results of the ARTEMISIA project, which aims to exploit Artificial Intelligence (AI) techniques to study, design and develop a methodology to interpret visitors' behaviour within a museum context. The Museum of Rome (Italy) Palazzo Braschi was selected for the project's first stage. The objective is to combine existing research with analytical techniques using data acquired from new generation stereo cameras (users' stand-still positions, viewpoint direction, movements) and other biases commonly used in the retail market (users' flow towards corridors, level of attention, etc). Mapping, and further predicting, users' patterns in regard to the museum arrangement may help to suggest changes in the space (new indications, updated storytelling or changes in thematic configuration). AI algorithms analyse data gathered from motion sensors in order to obtain a grid of references of all criteria related to users' experience (UX) and the effect of a museum visit on them, identifying new forms of visitors profiling and leading to the development of customised applications in public and private contexts.en_US
dc.description.sectionheadersPosters and Demos
dc.description.seriesinformationEurographics Workshop on Graphics and Cultural Heritage
dc.identifier.doi10.2312/gch.20231177
dc.identifier.isbn978-3-03868-217-2
dc.identifier.issn2312-6124
dc.identifier.pages185-187
dc.identifier.pages3 pages
dc.identifier.urihttps://doi.org/10.2312/gch.20231177
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/gch20231177
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Computing methodologies → Artificial Intelligence; Computer Vision; Interest point and salient region detection
dc.subjectComputing methodologies → Artificial Intelligence
dc.subjectComputer Vision
dc.subjectInterest point and salient region detection
dc.titleArtificial Intelligence Algorithms for the Analysis of User Experience in Palazzo Braschi Museumen_US
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