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Cited by 31Technology Adoption and User BehaviourAugmented Reality ApplicationsVirtual Reality Applications and Impacts

ARAM: A Technology Acceptance Model to Ascertain the Behavioural Intention to Use Augmented Reality

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Marto, Anabela, Gonçalves, Alexandrino, Melo, Miguel, Bessa, Maximino, Silva, Rui·2023·Journal of Imaging
DOI 10.3390/jimaging9030073PMC PMC10053472
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Abstract

The expansion of augmented reality across society, its availability in mobile platforms and the novelty character it embodies by appearing in a growing number of areas, have raised new questions related to people’s predisposition to use this technology in their daily life. Acceptance models, which have been updated following technological breakthroughs and society changes, are known to be great tools for predicting the intention to use a new technological system. This paper proposes a new acceptance model aiming to ascertain the intention to use augmented reality technology in heritage sites—the Augmented Reality Acceptance Model (ARAM). ARAM relies on the use of the Unified Theory of Acceptance and Use of Technology model (UTAUT) model’s constructs, namely performance expectancy, effort expectancy, social influence, and facilitating conditions, to which the new and adapted constructs of trust expectancy, technological innovation, computer anxiety and hedonic motivation are added. This model was validated with data gathered from 528 participants. Results confirm ARAM as a reliable tool to determine the acceptance of augmented reality technology for usage in cultural heritage sites. The direct impact of performance expectancy, facilitating conditions and hedonic motivation is validated as having a positive influence on behavioural intention. Trust expectancy and technological innovation are demonstrated to have a positive influence on performance expectancy whereas hedonic motivation is negatively influenced by effort expectancy and by computer anxiety. The research, thus, supports ARAM as a suitable model to ascertain the behavioural intention to use augmented reality in new areas of activity.

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Cited by

Sorted by citations

Authors
Marto, A., Gonçalves, A., Melo, M., Bessa, M., & Silva, R.
Affiliations
  • Universidade de Leiria e Oeste (PT)
  • INESC TEC (PT)
  • University of Trás-os-Montes and Alto Douro (PT)
Corresponding author
Marto, Anabela
ORCID
Venue
Journal of Imaging
Publisher
MDPI AG
Published
2023-03-21
Volume
9
Issue
3
Pages
73
ISSN
2313-433X (ISSN-L)
DOI
10.3390/jimaging9030073
PMC
PMC10053472
OpenAlex
W4328130039
Cited by
31
References
5
Citations by year
2026: 10 · 2025: 13 · 2024: 6 · 2023: 2
FWCI
6.15
Type
journal article
Language
en
Open access
Licence
Locations
  • Journal of Imaging (publishedVersion, cc-by)
  • Research Square (acceptedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) (submittedVersion, other-oa)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) (submittedVersion, cc-by-nc-nd)
Funders
  • Portuguese Foundation for Science and Technology (FCT) (UIDB/04524/2020, UIDB/04011/2022)
  • NECE-UBI, Research Centre for Business Sciences (UIDB/04524/2020, UIDB/04011/2022)
Topics
  • Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Augmented Reality Applications
  • Physical Sciences › Computer Science › Human-Computer Interaction › Virtual Reality Applications and Impacts
Keywords
augmented reality, technology acceptance, behavioral intention, UTAUT, cultural heritage sites, technological innovation, computer anxiety, hedonic motivation, performance expectancy, effort expectancy, social influence, facilitating conditions

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