Augmented Reality in Portuguese Museums: A Grounded Theory Study on the Museum Professionals’ Perspectives

IF 2.4 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Natacha Fernandes, Joana Casteleiro-Pitrez
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引用次数: 0

Abstract

Augmented Reality (AR) is increasingly present in several fields, including the museological space, where the challenges of presenting objects interactively and attractively are constant, especially with the sociocultural changes of recent decades. Although there are numerous studies on AR in museums, the perspective of museum professionals on the technology still needs to be explored. Thus, in this study, we use a qualitative design and conduct in-depth interviews with professionals from 10 Portuguese museums involved in creating or applying AR within these environments. Applying the grounded theory, the researchers propose a framework to understand Portuguese museum professionals’ practices, perceptions, and experiences with AR in museum environments. The findings allow the creation of a theoretical framework divided into four levels, namely the perceptions of museum professionals on the role and use of AR, the understanding of departments, museum teams, and digital strategies, the perceived challenges, limitations, and advantages in the use of augmented reality technologies, and the future perspectives of AR in museums. The theory resulting from this study may also contribute suggestions for the design and implementation of AR in museums, which both museum professionals and designers can use.
增强现实在葡萄牙博物馆:一个接地理论研究博物馆专业人士的观点
增强现实(AR)越来越多地出现在几个领域,包括博物馆空间,其中以互动和吸引人的方式呈现物体的挑战是恒定的,特别是近几十年的社会文化变化。虽然有很多关于博物馆AR的研究,但博物馆专业人员对这项技术的看法仍有待探索。因此,在本研究中,我们使用了定性设计,并对来自10个葡萄牙博物馆的专业人士进行了深入访谈,这些博物馆参与了在这些环境中创建或应用AR。运用扎根理论,研究人员提出了一个框架来理解葡萄牙博物馆专业人员在博物馆环境中使用AR的实践、观念和经验。研究结果创建了一个分为四个层次的理论框架,即博物馆专业人员对AR的作用和使用的看法,对部门、博物馆团队和数字战略的理解,使用增强现实技术的感知挑战、限制和优势,以及AR在博物馆的未来前景。本研究的理论也可以为博物馆AR的设计和实施提供建议,供博物馆专业人员和设计师使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Multimodal Technologies and Interaction
Multimodal Technologies and Interaction Computer Science-Computer Science Applications
CiteScore
4.90
自引率
8.00%
发文量
94
审稿时长
4 weeks
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