👉 Tired computing, also known as computational fatigue, refers to the mental and physical exhaustion that can occur from prolonged periods of intensive computing tasks. This phenomenon arises when individuals engage in repetitive, demanding, or complex data processing activities over extended durations, leading to decreased cognitive performance, reduced concentration, and increased error rates. Factors contributing to tired computing include the sustained attention required for tasks like data analysis, machine learning model training, or real-time system monitoring. As mental resources are depleted, performance declines, and the quality of work suffers, often necessitating breaks or changes in task approaches to maintain productivity and accuracy.
