Empathetic AI for Preventive Healthcare in Smart Air Quality Monitoring
Keywords:
AI, Smart AQMS, Preventive Healthcare, Orange Technology, Environmental HealthAbstract
Air pollution has become one of the most critical global public health challenges, contributing to respiratory diseases, cardiovascular conditions, mental stress, and reduced quality of life, particularly in urban regions. Conventional air quality monitoring systems primarily focus on technical measurements and pollutant indicators while often neglecting emotional, behavioral, and social dimensions of environmental healthcare communication. This study proposes a human-centered framework integrating Empathetic Artificial Intelligence (EAI) into Smart Air Quality Monitoring Systems (Smart AQMS) to enhance preventive healthcare and sustainable community wellbeing. The novelty lies in combining IoT-based environmental sensing, AI-driven predictive analytics, and empathy-oriented communication mechanisms within a unified environmental healthcare ecosystem aligned with Orange Technology principles. Using a qualitative conceptual methodology through interdisciplinary literature synthesis, the study explores relationships among environmental health monitoring, empathetic computing, healthcare informatics, and human–computer interaction. The proposed framework includes real-time pollutant detection, cloud-based decision support systems, personalized healthcare recommendations, and emotionally intelligent communication interfaces to improve health awareness and preventive behavioral responses. The study proposes that an empathetic Smart AQMS may strengthen public trust in digital healthcare systems, enhance environmental health literacy, reduce psychological distress during pollution events, and support vulnerable populations through culturally sensitive communication. Furthermore, the framework contributes to Sustainable Development Goals (SDGs 3, 9, 11, and 13) by promoting inclusive and sustainable healthcare innovation. This study provides theoretical contributions to empathetic AI research and offers implications for policymakers, healthcare institutions, and smart city developers in designing compassionate environmental healthcare systems.
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