We developed a dynamic warning system based on eye gaze information. When a user interacts with the GUI on a device, our system may track the user’s eye gaze over time using an eye tracker. When the computer system detects a risk and it is related to the users’ current task and/or focus, it may display a warning message indicating the risk. The warning messages display just-in-time, and they fade out after users read them.
(US patent pending)
1. Mini Zeng, Feng Zhu, Sandra Carpenter, “Eye-gazed based Dynamic Warnings,” the 9th International Conference on Advances in Computer-Human Interaction, Venice, 2016