Evaluating visitor perception and spatial preferences of various museums based on machine learning from 2016 to 2024.

Museum architecture is essential for preserving cultural heritage. Understanding the spatio-temporal evolution of visitor preferences, image perceptions, and driving factors is vital for promoting cultural development. However, traditional methods such as questionnaires and interviews face challenge...

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Autori principali: Yuandi Jiang, Kalyna Pashkevych, Shibo Bi
Natura: Articolo
Lingua:inglese
Pubblicazione: Public Library of Science (PLoS) 2025-01-01
Serie:PLoS ONE
Accesso online:https://doi.org/10.1371/journal.pone.0327112
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