🤖 AI Summary
Digital health interventions targeting culturally and linguistically diverse (CALD) women often struggle to sustain long-term engagement due to insufficient attention to deep-seated cultural factors. This study addresses this gap through a systematic scoping review of 18 relevant studies, integrating behavioral change theories with human-computer interaction design principles to propose a “Culturally Embedded Interaction Framework.” The framework comprises five dimensions: cultural grounding assessment, multimodal interaction, contextual-temporal adaptability, embedded social connectedness, and theory-informed cultural adaptation—thereby transcending conventional accessibility-centered design paradigms. The research further uncovers the paradox of technological solutionism’s ineffectiveness within low-activity social networks, offering CALD women a theoretically grounded and practically actionable strategy for culturally adaptive design.
📝 Abstract
Digital health has strong potential for promoting physical activity (PA), yet interventions often fail to sustain engagement among culturally and linguistically diverse (CALD) women. Prior reviews focus on short-term efficacy or surface-level localisation, while a design-oriented synthesis of deep cultural adaptation and long-term strategies remain limited. This scoping review systematically screened 1968 records, analysed 18 studies and identified a critical design paradox: techno-solutionist systems overlook social and cultural barriers, while social-support features often fail in low-activity social networks. To address this gap, we propose the Culturally Embedded Interaction Framework, integrating five dimensions: culturally-grounded measurement, multi-modal interaction, contextual and temporal adaptability, embedded social weaving, and theory-guided cultural adaptation. The framework advances beyond accessibility-focused approaches by mapping behavioural theory to design mechanisms that support sustained and culturally plural participation. We provide actionable design principles to help HCI researchers and practitioners move from one-size-fits-all models toward adaptive, theory-informed, and culturally sustaining design.