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The authors acknowledge the funding support by OpenInnova Research Group.

Analysis of institutional authors

Orea-Giner, AliciaCorresponding AuthorMunoz-Mazon, AnaAuthorVillace-Molinero, TeresaAuthorFuentes-Moraleda, LauraAuthor

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January 2, 2023
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Cultural tourist and user experience with artificial intelligence: a holistic perspective from the Industry 5.0 approach

Publicated to:Journal Of Tourism Futures. - 2022-12-06 (), DOI: 10.1108/JTF-04-2022-0115

Authors: Orea-Giner A; Muñoz-Mazón A; Villacé-Molinero T; Fuentes-Moraleda L

Affiliations

Rey Juan Carlos Univ, Fac Econ & Business, Madrid, Spain - Author
Univ Paris 1 Pantheon Sorbonne, EIREST, Paris, France - Author

Abstract

PurposeThe purpose of this paper is to analyse the future of the implementation of artificial intelligence (AI) technologies in services experience provided by cultural institutions (e.g. museums, exhibition halls and cultural centres) from experts', cultural tourists' and users' point of view under the Industry 5.0 approach.Design/methodology/approachThe research was conducted using a qualitative approach, which was based on the analysis of the contents obtained from two roundtable discussions with experts and cultural tourists and users. A thematic analysis using NVivo was done to the data obtained.FindingsFrom a futuristic Industry 5.0 approach, AI is considered to be more than a tool - it as an integral part of the entire experience. AI aids in connecting cultural institutions with users and is beneficial since it allows the institutions to get to know the users better and provide a more integrated and immersive experience. Furthermore, AI is critical in establishing a community and nurturing it daily.Originality/valueThe most important contribution of this research is the theoretical model focused on the user experience and AI application in services experiences of museums and cultural institutions from an Industry 5.0 approach. This model includes the visitors' and managers' points of view through the following dimensions: the pre-experience, experience and post-experience. This model is focused on human-AI coworking (HAIC) in museums and cultural institutions.

Keywords

0AcceptanceAiArtificial intelligenceCultural institutionsCultural touristFutureHeritageHospitalityIndustry 5Industry 5.0InnovationManagersRobotsServiceTechnologyUser experienceUser service experiences

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Journal Of Tourism Futures due to its progression and the good impact it has achieved in recent years, according to the agency Scopus (SJR), it has become a reference in its field. In the year of publication of the work, 2022, it was in position , thus managing to position itself as a Q1 (Primer Cuartil), in the category Geography, Planning and Development.

From a relative perspective, and based on the normalized impact indicator calculated from World Citations provided by WoS (ESI, Clarivate), it yields a value for the citation normalization relative to the expected citation rate of: 1.21. This indicates that, compared to works in the same discipline and in the same year of publication, it ranks as a work cited above average. (source consulted: ESI Nov 14, 2024)

This information is reinforced by other indicators of the same type, which, although dynamic over time and dependent on the set of average global citations at the time of their calculation, consistently position the work at some point among the top 50% most cited in its field:

  • Weighted Average of Normalized Impact by the Scopus agency: 1.6 (source consulted: FECYT Feb 2024)
  • Field Citation Ratio (FCR) from Dimensions: 18.47 (source consulted: Dimensions Sep 2025)

Specifically, and according to different indexing agencies, this work has accumulated citations as of 2025-09-12, the following number of citations:

  • WoS: 9
  • Scopus: 21

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-09-12:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 156.
  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 156 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

  • The Total Score from Altmetric: 1.
  • The number of mentions on the social network X (formerly Twitter): 1 (Altmetric).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
  • Additionally, the work has been submitted to a journal classified as Diamond in relation to this type of editorial policy.

Leadership analysis of institutional authors

This work has been carried out with international collaboration, specifically with researchers from: France.

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (Orea Giner, Alicia) and Last Author (Fuentes Moraleda, Laura).

the author responsible for correspondence tasks has been Orea Giner, Alicia.