Provider Gaze

Provider gaze research focuses on understanding and predicting where individuals direct their visual attention, primarily using computer vision and machine learning techniques. Current research emphasizes developing robust gaze estimation models, often employing deep neural networks like Vision Transformers and convolutional architectures, and exploring multimodal approaches that integrate audio and contextual information to improve accuracy, particularly in challenging real-world scenarios. This field is significant for advancing human-computer interaction, improving the design of assistive technologies, and offering insights into human cognition and behavior in various contexts, including healthcare and driving.