User-Independent Methods are designed to function effectively without requiring personalization or Adaptation to individual users, making them ideal for applications where User-Specific Data is scarce or privacy is a concern. These methods prioritize generalization and Robustness across diverse user groups, often leveraging Large Datasets and Advanced Algorithms to achieve High Performance.