video1.0<iframe src="https://www.loom.com/embed/1118a19d6ea84d00b546811f1d2f3cdc" frameborder="0" width="1706" height="1279" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>12791706Loomhttps://www.loom.com12791706https://cdn.loom.com/sessions/thumbnails/1118a19d6ea84d00b546811f1d2f3cdc-789a6825276125ee.gif761.553In this video, I introduce the SNM-DDR, a real-time computational framework that predicts human decisions and outcomes before observable actions. I demonstrate how the system can accurately detect my choices based on eye movements and other parameters, achieving a prediction accuracy of up to 75%. Throughout the demonstration, I attempt to fool the system by looking at different options, but it consistently identifies my true intent. I encourage you to explore the capabilities of SNM-DDR further, as it can handle complex interactions across various modalities. Please share your thoughts on this prototype and any questions you may have.