Mobile Application for Sensorimotor Data Collection in Cognitive and Behavioral Research

The use of mobile devices in neuroscience and psychology research offers a unique opportunity to enhance data collection. Integrating experimental pipelines within mobile applications enables large-scale participant recruitment, real-time monitoring, and behavioral analysis in natural environments, reducing biases typical of controlled settings. Additionally, it ensures objective, automated measurements while lowering experimental costs without compromising efficiency. The flexibility of mobile apps allows for tailored experimental designs across various research fields, including cognitive assessment, large-scale epidemiological studies, motor coordination analysis, and adaptive learning evaluation. In this study, we present the development of an Android application designed to record touch interaction data. The app integrates an experimental pipeline to collect smartphone usage data, aiming to analyze variability in digital competencies across the population. We outline the development process, key challenges, and implementation strategies, demonstrating how mobile-based experimental tools streamline behavioral data collection and improve accessibility compared to traditional methods. We advocate for the broader adoption of mobile-integrated experimental pipelines in psychological and neuroscientific research, emphasizing their potential to enhance scalability, reproducibility, and efficiency.Clinical relevance— The direct integration of experimental pipelines into mobile applications simplifies data collection in neuroscience and psychology. Understanding the technical and methodological challenges addressed in this work can serve as a guide for developing experimentally diverse yet technically similar solutions.