01/21/2025, 06:49 PM UTC
杜伊斯堡-埃森大学教授开发预测和增强心流状态的方法以提高生产力Professor at University of Duisburg-Essen Develops Method to Predict and Enhance Flow State for Improved Productivity
<p>➀ 杜伊斯堡-埃森大学的马里奥·纳杰教授开发了一种使用机器学习和心电图传感器预测和增强‘心流’状态的方法，这是一种深度集中状态。</p><p>➁ 这种方法可以近乎实时地预测心流状态，允许不间断地确定，与依赖自我报告的传统方法不同。</p><p>➂ 研究旨在减少中断并提高生产力，并且在专业和音乐环境中都有潜在应用。</p><p>➀ Professor Mario Nadj at the University of Duisburg-Essen has developed a method using machine learning and electrocardiogram sensors to predict and enhance the 'flow' state, a phase of deep concentration.</p><p>➁ This method can predict the flow state almost in real-time, allowing for uninterrupted determination unlike traditional methods that rely on self-reports.</p><p>➂ The research aims to reduce interruptions and improve productivity, with potential applications in both professional and musical settings.</p>
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