Comprehension, apprehension, and acceptance: Understanding the influence of literacy and anxiety on acceptance of artificial Intelligence
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Schiavo et al. (2024) created a scale emphasizing the negative impact of AI-induced anxiety on technology acceptance.
“Similarly, Schiavo et al. (2024) created a scale emphasizing the negative impact of AI-induced anxiety on technology acceptance.”
From Development of the Artificial Intelligence Perception and Attitude Scale (AIPAS) (2025) · cites this paper as Schiavo et al., 2024
The Negative Perception sub-dimension connects with the growing body of research on 'AI anxiety'.
“Conversely, the Negative Perception sub-dimension, addressing concerns and anxieties related to AI, connects with the growing body of research on 'AI anxiety' (Wang & Wang, 2022;Zhang & Dafoe, 2019;Schiavo et al., 2024).”
From Development of the Artificial Intelligence Perception and Attitude Scale (AIPAS) (2025) · cites this paper as Schiavo et al., 2024
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- Authors
- Schiavo, G., Businaro, S., & Zancanaro, M.
- Affiliations
- Fondazione Bruno Kessler (IT)
- University of Trento (IT)
- Corresponding author
- Schiavo, Gianluca
- Venue
- Technology in Society
- Publisher
- Elsevier BV
- Published
- 2024-06
- Volume
- 77
- Pages
- 102537
- ISSN
- 0160-791X (ISSN-L)
- OpenAlex
- W4393320622
- Cited by
- 284
- References
- 70
- Citations by year
- 2026: 138 · 2025: 118 · 2024: 28
- FWCI
- 106.37
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Licence
- Locations
- Technology in Society (publishedVersion)
- SSRN Electronic Journal (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Iris (University of Trento) (submittedVersion, cc-by-nc-nd)
- Open Research (University of Surrey) (submittedVersion, cc-by)
- Funders
- MIUR (PE00000013)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Gender Studies › Gender and Technology in Education
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Keywords
- AI acceptance, AI literacy, AI anxiety, technology acceptance model, perceived ease of use, perceived usefulness, critical literacy, student anxiety
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.
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