Culturally and Computationally Adaptive Social Robots for Arabophone Islamic Societies

This paper proposes a conceptual framework for integrating social robots into Islamic Arab communities in a manner that aligns with local cultural, ethical, and linguistic norms. Addressing critical gaps—such as navigating Arabic dialect diversity, adhering to Islamic ethical principles, and maintaining privacy in IoT-enabled environments—the framework comprises five core modules: a Cultural Knowledge Base, Behavior Adaptation Module, Ethical Integration Module, Arabic Language Processing System, and Privacy Management Module. This model fosters trust and acceptance by enabling robots to function effectively in healthcare, education, and public services. Future research will involve iterative testing and real-world evaluations to refine and validate the framework's applicability across diverse global and multi-faith contexts.