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Journal of Cultural Heritage
Article . 2021 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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X-reality technologies for museums: a comparative evaluation based on presence and visitors experience through user studies

Authors: Leopardi A.; Ceccacci S.; Mengoni M.; Naspetti S.; Gambelli D.; Ozturk E.; Zanoli R.;

X-reality technologies for museums: a comparative evaluation based on presence and visitors experience through user studies

Abstract

Abstract Virtual museum systems, based on different X-reality technologies, has begun to spread, as they represent decisive tools to promote exhibitions and reaching out to audiences. Although budgetary considerations have so far limited the choice of technologies a wide range of possible technological options are available today at low cost. This paper provides the results of an empirical study, with the aim to determine the most appropriate technologies to satisfy the visitors’ expectation and maximise their likelihood to repeat and recommend the experience. The study focuses on the comparison of the performance of five VM systems for visualise digital reproduction of archaeological finds, based on different technologies (i.e., PC desktop, holographic display, 3D stereoscopic projection, head mounted display and mobile Augmented Reality). The results provide useful insight for the development of VM systems, in order to maximize the visitor experience in terms of presence and ability to activate an experience economy perspective.

Country
Italy
Keywords

Augmented reality, Mixed reality, Presence, Virtual Museum, Virtual reality, Visitor experience, X-Reality technologies

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    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
61
Top 1%
Top 10%
Top 1%
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