Digital Systems Department, University of the Peloponnese, 23100 Sparta, Greece.
Information Management Research Lab, Department of Archival, Library and Information Studies, University of West Attica, 12243 Egaleo, Greece.
Sensors (Basel). 2024 Feb 1;24(3):966. doi: 10.3390/s24030966.
Managing modern museum content and visitor data analytics to achieve higher levels of visitor experience and overall museum performance is a complex and multidimensional issue involving several scientific aspects, such as exhibits' metadata management, visitor movement tracking and modelling, location/context-aware content provision, etc. In related prior research, most of the efforts have focused individually on some of these aspects and do not provide holistic approaches enhancing both museum performance and visitor experience. This paper proposes an integrated conceptualisation for improving these two aspects, involving four technological components. First, the adoption and parameterisation of four ontologies for the digital documentation and presentation of exhibits and their conservation methods, spatial management, and evaluation. Second, a tool for capturing visitor movement in near real-time, both anonymously (default) and eponymously (upon visitor consent). Third, a mobile application delivers personalised content to eponymous visitors based on static (e.g., demographic) and dynamic (e.g., visitor movement) data. Lastly, a platform assists museum administrators in managing visitor statistics and evaluating exhibits, collections, and routes based on visitors' behaviour and interactions. Preliminary results from a pilot implementation of this holistic approach in a multi-space high-traffic museum (MELTOPENLAB project) indicate that a cost-efficient, fully functional solution is feasible, and achieving an optimal trade-off between technical performance and cost efficiency is possible for museum administrators seeking unfragmented approaches that add value to their cultural heritage organisations.
管理现代博物馆的内容和访客数据分析,以实现更高水平的访客体验和整体博物馆绩效,是一个涉及多个科学方面的复杂和多维问题,例如展品元数据管理、访客移动跟踪和建模、位置/上下文感知内容提供等。在相关的前期研究中,大多数努力都单独关注这些方面中的一些,而没有提供增强博物馆绩效和访客体验的整体方法。本文提出了一种综合概念化方法,以改善这两个方面,涉及四个技术组件。首先,采用并参数化四个本体,用于展品及其保护方法、空间管理和评估的数字文档和展示。其次,一种用于近实时捕获访客移动的工具,匿名(默认)和实名(经访客同意)均可。第三,移动应用程序根据静态(例如,人口统计)和动态(例如,访客移动)数据向实名访客提供个性化内容。最后,一个平台帮助博物馆管理员根据访客的行为和互动来管理访客统计数据和评估展品、收藏和路线。在一个多空间高流量博物馆(MELTOPENLAB 项目)中对这种整体方法的初步试点实施结果表明,对于寻求不碎片化的方法来为其文化遗产组织增加价值的博物馆管理员来说,一种具有成本效益的、全功能的解决方案是可行的,并且有可能在技术性能和成本效率之间实现最佳权衡。