数智技术驱动下博物馆展陈提升路径探索

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中图分类号：G260.7文献标识码：A

文章编号:2096-4110(2025)06(c)-0030-05

Exploration of the Path for Improving Museum Exhibitions Driven by Digital Intelligence Technology

LI Xiaodong (School of Cultural Communication, Liming Vocational University, Quanzhou Fujian,362Ooo, China)

Abstract: Basedontheflowtheoryandcultural genetheory,this studyproposesaninovative museum exhibition path thattakes the"culturalgenedecoding-flowexperiencestiulation"doublehelixmodelasthefoundation,incorporatestheapplicationfgenerativeAIandneuroscience,shiftsfromone-waydisseminationtocologicalcoostruction,andstablishsamulti-diesional flowassessmentodel.ByintegratingGCenerationthologyuralsiencepereptionmodelingndmeavrsesacehol ogy,avirtual-raloexistingculuralelicctivationseneisonstructedtoacheveultiodalsnsoryimmersion.Adyicnar rativeecosysteivolvingdienceocreationisitroduced,andaultiimensionalvaluationsteisstablisdoughte collectionofbehavioraldataandneuralfedbackanalysis.TakingthedigitalandintellgentexhibitionofQuanzou Museumasanexample,interactiveeibitsthatintegatetheculturalgenesofMinanaredesigned,formingaclosedloof technologyepowering cultural productionand feedback,providing an innovative solution forthe intelligent transformation of museums.

Key Words:Flow theory; Cultural genes; Museum; Digitalization; Exhibition design; Quanzhou

在博物馆领域，传统展陈模式因过于单一与滞后，已难以满足现代观众对于沉浸体验的多元需求，而数智技术的广泛应用为博物馆展陈设计提供了新的可能性。（剩余8024字）