<p>Intelligent input is a crucial aspect of human-computer integration, and its effectiveness can be enhanced through the use of AI to improve the user experience. Despite its potential, the usability of AI-driven intelligent input systems is suboptimal due to complex interfaces and challenging operations. These systems also struggle to address complex issues, with outputs being limited and inaccurate, failing to align with user expectations. The current limitations hinder the full adoption of intelligent input products, as users are not fully satisfied with their functionality and performance. This has implications for user engagement and satisfaction across various contexts, including daily life, work, and learning. This study applies the user experience elements model and user experience principles to analyze user requirements during their usage process, aiming to identify key areas for improvement and enhance the overall system design. Survey data reveal that while intelligent input satisfies basic expression needs, enhancing personalization and richness could significantly boost user satisfaction. Additionally, although voice input has become more natural, its accuracy in recognizing diverse dialects remains a challenge, limiting its broad adoption. Users expect a more sophisticated system that offers a broader range of functions to increase its applicability.</p>