A Comparative Study of User Gaze and Synthetic Vision during Navigation

How Much Do We Pay Attention? A Comparative Study of UserGaze and Synthetic Vision during Navigation

Data-driven saliency models have proved to accurately infer human visual attention on real images. Reusing such pre-trained models in video games holds significant potential to optimize game design and storytelling. However, the relevance of transferring saliency models trained on real Read More …

A deep learning saliency model for exploring viewers’ dwell-time distributions over Areas of Interest on webcam-based eye-tracking data

https://osf.io/mk624/download Visual Saliency deals with detecting the most eye-catching regions in images, those regions which naturally stands out of the image. Itaccounts for bottom-up and top-down visual attention processes over the first few seconds of observation of a given image.