International Journal of Science, Engineering and TechnologyAuthors: Shubham Sharma, Devayush, Daksh Arora, Karmbir
Abstract: Procrastination presented a pervasive challenge that hindered productivity and negatively impacted mental well-being, largely because traditional intervention tools like website blockers failed to address the underlying emotional states driving this behavior. This study introduced FocusGuard, a novel browser extension that utilized sentiment analysis to evaluate user emotions and deliver highly personalized, context-aware interventions. Unlike conventional rule-based systems, FocusGuard integrated Natural Language Processing to dynamically monitor digital behavior and optional text inputs, enabling the system to understand whether a user was experiencing stress, boredom, or a lack of motivation. The methodology involved a multi-stage approach where data was collected, preprocessed, and analyzed to trigger an intelligent decision engine. This engine subsequently provided emotionally intelligent responses, such as customized motivational messages and focus-enhancing audio, tailored specifically to the user's current affective state. The results indicated that combining artificial intelligence with human-centered design created a more supportive environment that effectively mitigated procrastination compared to static blocking mechanisms. Ultimately, the system fostered long-term productivity improvements by addressing emotional dysregulation at the core of task avoidance.
DOI: http://doi.org/10.5281/zenodo.21720792
