Automatic Speech Recognition in Vitreo-Retinal Surgery. A Project for a Prototypal Computer-Based Voice-Controlled Vitrectomy Machine

Unused information: detecting and applying eye contact data in computerized healthcare systems

Medical computing systems rely primarily on traditional human-computer interfaces, such as the keyboard, mouse and touch screen, however future systems will incorporate vastly enhanced interaction capabilities. Some of these, such as speech control and eye contact sensing, have begun to appear on the medical computing landscape. Eye contact provides computer systems with a wealth of yet-uncollected information about user attention and attentiveness, and may allow for personalized interfaces, while requiring almost no training to use. This paper introduces an advanced prototype of a gaze-enhanced speech recognition charting system for surgical nurses. We go on to discuss the implications of our system and of gaze detection in general for medical computing.