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The Human-Computer Interface (HCI) paradigm has undergone significant transformations over the years, driven by advances in technology and shifting user needs. The concept of a "Modelo para corrección de CEV" – a model for correcting human-computer errors – is an intriguing one that warrants exploration. In this context, "corrección de CEV" can be interpreted as the correction of errors that occur when humans interact with computers. These errors can arise from various sources, including user mistakes, software glitches, or hardware malfunctions. To develop a effective model for correcting such errors, it is essential to understand the underlying causes and mechanisms involved. This requires a deep analysis of human-computer interactions, including user behavior, system responses, and error propagation. A well-designed model should be able to detect errors in real-time, identify their root causes, and provide corrective actions to prevent future occurrences. This can involve machine learning algorithms that learn from user data and adapt to changing user needs. Ultimately, the goal of a "Modelo para corrección de CEV" is to create a seamless and error-free human-computer interface that enhances user experience and productivity.