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Exploring Augmented Reality in Applications in Peru: An Extended Technology Acceptance Model Approach

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NIAID Data Ecosystem2026-05-10 收录
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The hypotheses (H1–H12) proposed that AR interactivity and novelty would positively influence perceived enjoyment, ease of use, and usefulness, which in turn would shape attitudes towards AR. Attitude was hypothesised as a direct antecedent of intention to use AR. Specific hypotheses also tested the relationships between ease of use, enjoyment, and usefulness, as well as their combined impact on attitude. Data collection and sample. Data were gathered through a structured questionnaire administered after an AR make-up application trial. A non-probabilistic convenience sample of 268 valid responses was obtained from women in the Millennial (26–35 years) and Centennial (18–25 years) generations, all of whom had purchased make-up products in the previous six months. Participants interacted with the AR application for approximately five minutes before responding to items measuring the constructs. Measurement items were adapted from validated scales in prior studies, translated into Spanish, and rated on a five-point Likert scale (1 = strongly disagree, 5 = strongly agree). Ethical safeguards included informed consent, anonymity, and voluntary participation. Data characteristics. The dataset consists of item-level responses capturing seven constructs: interactivity (2 items), novelty (3 items), perceived ease of use (4 items), perceived enjoyment (4 items), perceived usefulness (4 items), attitude (4 items), and intention to use (3 items). Demographic variables such as age group, education level, and employment status were also included.
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2025-09-25
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