Summary
This research article presents a novel attention detection system for virtual assistants, utilizing a multitask cascaded convolutional neural network for face detection and a convolutional neural network for attention classification. The system achieves a true positive rate of 95.04% for face detection and 97.2% accuracy in attention classification. The study aims to improve user interaction with virtual assistants by enabling a more natural conversational experience, moving beyond traditional k
