User Attitudes Toward AI Technologies Questionnaire Test

Readers deciding how to approach artificial intelligence in study, work, or everyday life can use the User Attitudes Toward AI Technologies Questionnaire Test to organize their views before making practical choices. It offers an AI attitudes questionnaire format for noticing where a general stance may support or complicate adoption, discussion, or further reflection. The profile can help turn a broad topic into questions about personal priorities and experience.

What This Assessment Explores

Attitudes here involve more than a single opinion. The items address fear, difficulties, negative feelings, confidence, control, independent judgment, and willingness to use AI for academic, work-related, and everyday tasks. The profile therefore concerns reactions to technology, not programming skill or observed performance.

The result contains three displayed dimensions:

• Emotional Attitude (1-5) measures feelings about AI and its prospects; Concerned (1-2.63), Neutral/Mixed (2.64-4.21), and Positive (4.22-5) are the displayed bands.
• Interaction Effectiveness (1-5) reflects confidence, control, competence, and readiness; Low effectiveness (1-2.78), Moderate effectiveness (2.79-4.26), and High effectiveness (4.27-5) are its bands.
• AI Technology Acceptance (1-5) measures expected benefits, willingness, confidence, and low fear; Low acceptance (1-2.79), Moderate acceptance (2.8-4.15), and High acceptance (4.16-5) are its bands.

An AI acceptance profile can show an uneven result, with positive expectations alongside uncertainty about using AI.

Methodology and Scientific Basis

Each statement offers five positions, from disagreement through uncertainty to agreement. This self-report captures perceived feelings, confidence, control, and intention rather than performance. Responses are combined into three dimensions; the ranges do not specify how many points each answer contributes and the bands provide descriptive levels for interpretation.

User Attitudes toward AI Technologies (Filenko & Moiseev, 2025) is the closest published instrument for this subject. The questionnaire is conceptually consistent with that instrument but is not presented as its adaptation. The study's standardization findings do not establish standardization for this online version. Davis’s Technology Acceptance Model offers concepts of usefulness, ease of use, and acceptance. Ajzen’s Theory of Planned Behavior adds intention and perceived control; neither makes this questionnaire a direct reproduction.

The result is a snapshot of current self-perception. As an AI self-assessment, it can shift with experience and familiarity. Trust, social expectations, and reluctance to express negative feelings can shape answers. Scores are not diagnostic; interpretation is strongest alongside the respondent’s context and behavior.