Artificial intelligence use motives: adaptation of the diagnostic tool

 
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Abstract

Context and relevance. Artificial intelligence is a technology with the potential to fundamentally transform all spheres of human life. Its rapid integration into everyday reality intensifies research dedicated to the psychology of using neural networks. However, the development of empirical research in the Russian scientific field is limited by the lack of validated psychodiagnostic tools that allow assessing users' attitudes toward neural networks and the specific features of their motivation for using them. Objective. To adapt a questionnaire for diagnosing the motives of using artificial intelligence (AI) for the Russian population and to validate it. Hypothesis. It was assumed that the two-factor structure of the “Artificial Intelligence Use Motives” questionnaire would make it possible to create a Russian-language version of the tool with satisfactory psychometric properties, and that the composition of its factors would replicate the original model. Methods and materials. The study involved 368 university and secondary vocational education students (mean age 19 years old, 75% of the sample were women). Convergent validity was tested using the Adolescent and Parent Technology Use Attitude Questionnaire and the Career Engagement Scale. For data processing and analysis, exploratory and confirmatory factor analyses and Spearman correlations were used. Results. The two-factor structure of the “Artificial Intelligence Use Motives” questionnaire was confirmed as “Expectancy related to AI use” and “Subjective task value”. The second factor contains four subscales. All scales are characterized by high internal consistency, and the overall psychometric indicators of the questionnaire confirm its reliability and validity. Conclusions. The Russian-language version of the AI use motives questionnaire retains the factor structure of the original version and possesses sufficient psychometric properties for its use in psychological science and practice.

General Information

Keywords: artificial intelligence (AI), artificial intelligence use motives, attitudes towards technology, psychodiagnostics, expectancy, subjective task value

Journal rubric: Interdisciplinary Researches

Article type: scientific article

DOI: https://doi.org/10.17759/pse.2026310303

Funding. The study was implemented in the framework of the Basic Research Program at HSE University (HSE-BR-2025-077).

Supplemental data. Dataset is available: https://doi.org/10.48612/MSUPE/v73m-ba1n-5at1.

Received 07.02.2026

Revised 02.04.2026

Accepted

Published

For citation: Volkova, N.V., Kochetkov, N.V., Chiker, V.A. (2026). Artificial intelligence use motives: adaptation of the diagnostic tool. Psychological Science and Education, 31(3), 35–49. (In Russ.). https://doi.org/10.17759/pse.2026310303

© Volkova N.V., Kochetkov N.V., Chiker V.A., 2026

License: CC BY-NC 4.0

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Information About the Authors

Natalia V. Volkova, Candidate of Science (Psychology), Associate Professor of the Department of Management, HSE University, St.Petersburg, Russian Federation, ORCID: https://orcid.org/0000-0002-9045-4393, e-mail: nv.volkova@hse.ru

Nikita V. Kochetkov, Candidate of Science (Psychology), Associate Professor, Associate Professor, department of the Theoretical Foundations of Social Psychology, Faculty of Social Psychology, Moscow State University of Psychology and Education, Moscow, Russian Federation, ORCID: https://orcid.org/0000-0001-6346-6113, e-mail: nkochetkov@mail.ru

Vera A. Chiker, Candidate of Science (Psychology), Associate Professor, Associate Professor of the Department of Social Psychology, Saint Petersburg State University, St.Petersburg, Russian Federation, ORCID: https://orcid.org/0000-0001-7444-6898, e-mail: vchiker@yandex.ru

Contribution of the authors

Natalia V. Volkova — data collection and analysis; application of statistical and mathematical methods for data analysis; writing and design of the manuscript.

Nikita V. Kochetkov — annotation, literature review; visualization of research results.

Vera A. Chiker — ideas; planning of the research; control over the research.

All authors participated in the discussion of the results and approved the final text of the manuscript.

Conflict of interest

The authors declare no conflict of interest.

Ethics statement

Informed consent was obtained from all study participants.

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