Zhikhareva L.V., Luchinkina A.I. Motivation for interacting with artificial intelligence: development and psychometric validation of the ShMOI-AI and ShSVM-AI scales

Interaction with artificial intelligence may depend not only on the intensity of technology use but also on the underlying motive, yet no validated Russian-language instrument exists for differentiated assessment of such motivation. We report the development and psychometric validation of two instruments: the AI Engagement Motivation Scale (ШМОИ-ИИ; 22 items, four subscales) and the Situational Motivation Variability Scale (ШСВМ-ИИ; 12 items, three subscales). Validation used samples of AI users (N = 382, N = 370); the structure was confirmed on an independent subsample (n = 684). Subscale internal consistency was α = 0.76-0.83 and test-retest reliability ICC = 0.81-0.85; confirmatory models met strict fit criteria (CFI = 0.973/0.979; RMSEA = 0.041/0.038). Developmental motives are related to authorship and autonomy. The avoidance of intellectual effort is connected with the susceptibility to control. The awareness of motivational switching is linked with systemic reflection and trust control. The mentioned above supports the method convergent and discriminant validity.

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Вестник Донецкого университета. Серия 05. Филология и психология
Published
2026-11-06
DOI
https://doi.org/10.5281/zenodo.24000117
Primary Topic
Social Robot Interaction and HRI
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article
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article

Zhikhareva L.V., Luchinkina A.I. Motivation for interacting with artificial intelligence: development and psychometric validation of the ShMOI-AI and ShSVM-AI scales

Жихарева Лилия Владимировна, Анжелика Ильинична Лучинкина
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Вестник Донецкого университета. Серия 05. Филология и психология
Social Robot Interaction and HRI
article

Zhikhareva L.V., Luchinkina A.I. Motivation for interacting with artificial intelligence: development and psychometric validation of the ShMOI-AI and ShSVM-AI scales

Жихарева Лилия Владимировна, Анжелика Ильинична Лучинкина
article en

Abstract

Interaction with artificial intelligence may depend not only on the intensity of technology use but also on the underlying motive, yet no validated Russian-language instrument exists for differentiated assessment of such motivation. We report the development and psychometric validation of two instruments: the AI Engagement Motivation Scale (ШМОИ-ИИ; 22 items, four subscales) and the Situational Motivation Variability Scale (ШСВМ-ИИ; 12 items, three subscales). Validation used samples of AI users (N = 382, N = 370); the structure was confirmed on an independent subsample (n = 684). Subscale internal consistency was α = 0.76-0.83 and test-retest reliability ICC = 0.81-0.85; confirmatory models met strict fit criteria (CFI = 0.973/0.979; RMSEA = 0.041/0.038). Developmental motives are related to authorship and autonomy. The avoidance of intellectual effort is connected with the susceptibility to control. The awareness of motivational switching is linked with systemic reflection and trust control. The mentioned above supports the method convergent and discriminant validity.

Вестник Донецкого университета. Серия 05. Филология и психология
Crimean State Engineering Pedagogical University (UA)
Openalex Percentile: Top 12%
Social Robot Interaction and HRI
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