An Approach to Leverage Artificial Intelligence for Car-Parking Related Mobile Applications

This paper describes an approach that combines smartphones, context awareness, implicit interaction, and machine learning to ease the design, distribution, and updating of AI-powered features. By following a series of steps, including identifying user needs, determining the scope of AI intervention, collecting and training data, incorporating user feedback, and continuously updating the model that runs in the smartphone, we design context-aware car parking apps that provide personalized and practical assistance to drivers. The proposed approach is particularly relevant when minimizing distractions and optimizing user support is crucial.