The role of behavioural activation and inhibition systems in AI attitude and perceived literacy
Year: 2026
Type: article
Study design: Observational Study
Abstract: This exploratory study focuses on personal, social and technical factors related to Human-Artificial Intelligence (AI) Interaction. An interesting aim is to explore the role of individual differences and personality predispositions in attitudes towards AI tools and perceived AI literacy. In the present study, 207 Italian speaking participants recruited via Prolific platform, completed the BIS/BAS Scale for motivational behavior tendencies, LOT-R for dispositional optimism, AIAS-4 Scale to measure general attitude towards AI technology and PAILQ-6 scale to measure self-perceived AI literacy along the dimensions of AI awareness and AI engagement. While significant results regarding Optimism and BAS_Fun subscale did not emerge, regression analysis conducted showed that BAS_Drive, reflecting goal persistence and sustained motivation in the absence of immediate reward, was the strongest positive predictor of both AI attitude and AI literacy engagement dimension. Conversely the BIS scale, associated with cautious decision-making style, emerged as a negative predictor of both literacy awareness and engagement dimensions and BAS_Reward positively predicted AI literacy awareness dimension. These results call for further investigation of individual factors associated with attitude and self-perceived literacy of AI technologies, that are implicated in shaping the interaction especially with common Gen-AI tools.
Source: Vytautas Magnus University
Language: English
Subfield: Gender Studies
Field: Social Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7225446459