Ambivalence/Hesitancy Recognition in Videos for Personalized Digital Health Interventions

ArXi:2604.11730v1 Announce Type: cross Using behavioural science, health interventions focus on behaviour change by providing a framework to help patients acquire and maintain healthy habits that improve medical outcomes. In-person interventions are costly and difficult to scale, especially in resource-limited regions. Digital health interventions offer a cost-effective approach, potentially ing independent living and self-management. Automating such interventions, especially through machine learning, has gained considerable attention recently.