Artificial Intelligence (AI) Enhanced Cognitive Mobile Computing

The rise of mobile devices and enhanced by the development in Artificial Intelligence (AI) these power-ups have translated into humongous improvements on how people interact with applications. In this paper we explore the incorporation of cognitive computing approaches for creating mobile specific predictive interaction models. Powered by AI, these models seek to predict user activity, interests and demands for the most human like experience in mobile applications. Here, we present an all-inclusive methodology to collect data from mobile sensors design the model with machine learning algorithms and deploy the system. The experimental results validate a dramatic improvement in user satisfaction and engagement when using models to predict the relevance of suggested boxes. Beyond that, we present several technical issues and opportunities when it comes to deploying AI-powered predictive models in mobile settings addressing potential areas for future work. The findings also highlight cognitive mobile computing that can create more intelligent and dynamic user experiences. Keywords— Cognitive Mobile Computing, Predictive User, Interaction Models, Artificial Intelligence (AI), Machine Learning (ML), Mobile Applications, Context Aware Computing, User Behavior Prediction, Personalized User Experience, Real Time Data Processing, Mobile Sensors.