Mobile Application for Noise Pollution Monitoring through Gamification Techniques

The primary objective of this research is to address the high costs associated with traditional urban noise pollution monitoring by leveraging crowdsourced data collection through gamified mobile applications. The central thesis posits that by transforming the repetitive, often tedious task of environmental data collection into an engaging, game-like experience, local governments can incentivize citizens to act as voluntary sensors, thereby generating high-resolution, cost-effective noise maps for urban planning and decision-making.

The research introduces two Android-based prototypes, NoiseBattle and NoiseQuest, which utilize smartphone microphones to record noise levels. These applications incorporate core gamification mechanics—including status tracking, level progression, unlocking exclusive features, and competitive power dynamics—to maintain long-term user participation. The architecture relies on a three-tier system: a mobile client for data acquisition, a middleware layer for real-time processing and user status updates, and a remote server that integrates the collected Volunteered Geographic Information (VGI) into the Open Noise Map Platform.

The methodology focuses on the "citizens as sensors" paradigm, drawing on existing frameworks for Public Participatory GIS (PPGIS). While the prototypes are currently in development, the design strategy specifically targets different user archetypes, such as "achievers" for competitive conquest-based gameplay and "explorers" for mission-based data collection. The study concludes that gamification effectively bridges the gap between scientific data requirements and public engagement. Future development aims to implement data validation filters to ensure scientific accuracy and to introduce dynamic expiration policies for noise observations to encourage sustained, ongoing participation from the public.