Tap to Track: Ett knappbaserat system för lättanvänd emotionell självrapportering : Utveckling och utvärdering av en prototyp för insamling av hälsoinformation i realtid

This thesis explores the development and evaluation of a mobile-based prototype for real-time health self-monitoring using wearable and Bluetooth enabled sensors. This work was motivated by the need for low-friction, real-time tools to support self-monitoring in contexts such as stress, chronic pain, and emotional regulation—areas where traditional wearables often fall short due to limited interpretability or delayed feedback. The goal is to improve the robustness, usability, and user engagement of digital self-reporting systems for individuals managing chronic conditions as well as those experiencing stress. Through a review of existing literature, a functional prototype was designed with a focus on user-centered design, low interaction burden, and reliable data capture. The system supports momentary self-assessments and integrates data from Bluetooth devices, such as Flic buttons. Interviews and previous case studies informed the design requirements, while usability and technical performance were evaluated through scenario-based testing. Results indicate that simple, flexible interfaces and low-friction input methods are key factors for sustained use. The study contributes insights for future mobile health applications that aim to support personalized, continuous monitoring in everyday life.