Cited by 2Augmented Reality ApplicationsMuseums and Cultural HeritageVirtual Reality Applications and Impacts

Evaluation of Motiv-ARCHE in the Santa Clara Museum

Open access
González Vargas, Juan Camilo, Fabregat, Ramon, Carrillo-Ramos, Angela, Jové, Teodor·2025·Information

Abstract

Currently, heritage sites, such as museums, have focused on the preservation and conservation of heritage elements for present and future generations. However, when displaying their content, they often do not consider different types of visitors, their preferences regarding the type and format of content, their interests, or their information needs (the same content is always presented). All of this can reduce the number of visits and the motivation of visitors. To address this issue, Motiv-ARCHE was developed as an application designed to enhance motivation in learning about cultural and natural heritage using augmented reality (AR). Motiv-ARCHE was implemented using the design-based research (DBR) methodology, an iterative approach that allows user feedback. In this article, we concentrate on presenting an experiment conducted at the Santa Clara Museum (Bogotá) in which a group of 44 participants used Motiv-ARCHE to access content associated with 10 cultural heritage elements that had been previously co-created with heritage experts from the museum itself. To evaluate the experiment, motivation and technology acceptance tests were applied, along with a demographic questionnaire, to statistically analyze whether the examined variables influence motivation for learning about cultural and natural heritage. Among the results, it is noteworthy that users with greater knowledge of AR, cultural and natural heritage, and a higher frequency of using this type of application felt more motivated to learn about heritage elements.

Integrity signals

Registry

Crossref · 10.3390/info16030165

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The ARAM test variables are performance expectancy (PE), effort expectancy (EE), social influence (SI), facilitating condition (FC), hedonic motivation (HM), computer anxiety (CA), trust expectancy (TE), technological innovation (TI), and behavioral intention (BI).

    “In [56], the considered variables are described: performance expectancy (PE), effort expectancy (EE), social influence (SI), facilitating condition (FC), hedonic motivation (HM), computer anxiety (CA), trust expectancy (TE), technological innovation (TI), and behavioral intention (BI).”

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
González Vargas, J. C., Fabregat, R., Carrillo-Ramos, A., & Jové, T.
Affiliations
  • Broadband Communications and Distributed Systems (BCDS), Universitat de Girona, 17003 Girona, Spain
  • System Engineering Department, Pontificia Universidad Javeriana, Bogotá 110231, Colombia
  • Universitat de Girona (ES)
Venue
Information
Publisher
MDPI AG
Published
2025-02-21
Volume
16
Issue
3
Pages
165
ISSN
2078-2489 (ISSN-L)
OpenAlex
W4407808278
Cited by
2
References
2
Citations by year
2026: 1 · 2025: 1
FWCI
0.71
Type
journal article
Language
en
Open access
Locations
  • Information (publishedVersion, cc-by)
  • Universitat de Girona Digital Repository (Universitat de Girona) (acceptedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Augmented Reality Applications
  • Social Sciences › Arts and Humanities › Museology › Museums and Cultural Heritage
  • Physical Sciences › Computer Science › Human-Computer Interaction › Virtual Reality Applications and Impacts
Keywords
augmented reality, museum visitor motivation, cultural heritage, natural heritage, technology acceptance, heritage education

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review