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ZENODO
Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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CROSS-CULTURAL VALIDATION OF THE ARTIFICIAL INTELLIGENCE ANXIETY SCALE

Authors: Almomani, Rana Thani; Mosleh, Samia Mousa; Salem Algharaibeh, Salem Ali; Al-Mawadieh, Reda S M; Alsabatin, Hala; Aljaafreh, Abdulsalam Yousef; Abdul Razzak, Luma Fakhir; +2 Authors

CROSS-CULTURAL VALIDATION OF THE ARTIFICIAL INTELLIGENCE ANXIETY SCALE

Abstract

ABSTRACT The Artificial Intelligence Anxiety Scale (AIAS), introduced by Wang and Wang in 2019, was designed to assess the fundamental elements and internal aspects of anxiety associated with artificial intelligence. It was founded based on prior research with computer and robotic fear. Nonetheless, the initial scale was constructed using a Taiwanese sample with unique attributes. The results of the exploratory factor analysis indicated a four-component structure, including a general anxiety factor. The present study conducted a cross-cultural adaption of the AIAS by administering it to 256 students from several Arab nations. The Confirmatory Factor Analysis results indicated that the Arabic version has only three factors, with the learning dimension exhibiting a weak loading, leading to its elimination; hence, the final Arabic AIAS version consists of 13 items.

Keywords

CFA, Cross-cultural Validity, Artificial Intelligence AI, Scale Adaptation, AI Anxiety

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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!
0
Average
Average
Average
Green