Enhancing Employee Attention and Task Efficiency Using Advanced Digital Distraction Blocking Mechanisms

Employee attention is critical for successful task completion, learning, and productivity. However, modern distractions such as notifications, applications, and online information regularly disrupt focus and reduce work effectiveness. Research aims to improve employee attention and task efficiency by creating an advanced digital distraction blocking system that detects distracted behaviors and intervenes to maintain focus. Video recordings of employees executing tasks in online and digital settings were gathered to capture natural attention and distraction patterns. Frames were normalized, faces were identified, and irrelevant background noise was eliminated to ensure consistent data quality. Frame blocking is utilized for preprocessing, and the VGG16-CNN was used to extract deep visual features, including facial expressions, gaze direction