Extended AIDUA model: AIGC usage intention of women with EDs framework

This study introduces and extends the AIDUA framework (Gursoy et al., 2019), grounded in cognitive appraisal theory, modeling three sequential stages that link technology cognition to use. In the primary appraisal stage, social influence, techno-optimism, and prior technological experience capture sociocultural and experiential drivers of acceptance (Liu & Wang, 2024). Recognizing the lived conditions of women with EDs, we further incorporate perceived stigma and perceived discrimination as psychosocial variables shaping technology cognition and usage motivation (Thornicroft et al., 2022). In the secondary appraisal stage, perceived benefits are disaggregated into emotional and informational support. In contrast, risk perception and perceived use are retained to represent feasibility and threat assessment (Kim et al., 2007). The behavioral stage explicates mechanisms linking intentions to subsequent health information behaviors in interaction with generative AI, distinguishing deep content interaction (sustained, reflective engagement with AI-mediated health materials) from shallow content interaction (brief, cursory, or avoidance-oriented practices) (Figure 1). This multilevel model integrates individual dispositions, social conditions, and AI affordances, reframing health information seeking as a communicative process embedded in technological imaginaries and practice.