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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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Владимировна et al. (2026) studied this question.
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