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Cited by 204

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Formation of augmented-reality interactive technology's persuasive effects from the perspective of experiential value

Huang, Tseng-Lung, Hsu Liu, Feng·2014·Internet Research

Abstract

Purpose: – The purpose of this paper is to examine the extent to which presence, media richness, and narrative experiences yield the highest experiential value in augmented-reality interactive technology (ARIT). Design/methodology/approach: – A survey is performed to collect data. Valid questionnaires of 344 ARIT users are identified. The hypothesized associations are analyzed using structure equation modeling. Findings: – Empirical results indicate that narrative experience induces a higher experiential value than other simulative experiences, including presence and media richness. Practical implications: – Results of this study provide a valuable reference for managers attempting to design an ARIT process in order to optimize the experiential value in various online simulation environments. Originality/value: – This study adopts an integrated framework that incorporates narrative theory, media richness theory, and presence in the online ARIT. Exactly how narrative experience, media richness, and presence affect the formation of experiential value in the ARIT process is explored as well.

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Metadata

Authors
Huang, T.-L., & Hsu Liu, F.
Venue
Internet Research
Publisher
Emerald
Published
2014-01-28
Volume
24
Issue
1
Pages
82-109
ISSN
1066-2243 (ISSN-L)
OpenAlex
W1549087351
Cited by
204
References
10
FWCI
12.87
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Formation of augmented-reality interactive technology's persuasive effects from the perspective of experiential value. https://app.cochat.ai/papers/10.1108/intr-07-2012-0133
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Huang, T.-L., & Hsu Liu, F. (2014). Formation of augmented-reality interactive technology's persuasive effects from the perspective of experiential value. Internet Research. https://doi.org/10.1108/intr-07-2012-0133

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.