|The eyes are a rich source of information for gathering context in our everyday lives. A user's gaze is postulated to be the best proxy for attention or intention. Using gaze information as a form of input can enable a computer system to gain more contextual information about the user's task, which in turn can be leveraged to design interfaces which are more intuitive and intelligent. Eye gaze tracking as a form of input was primarily developed for users who are unable to make normal use of a keyboard and pointing device. However, with the increasing accuracy and decreasing cost of eye gaze tracking systems it will soon be practical for able-bodied users to use gaze as a form of input in addition to keyboard and mouse. This dissertation explores how gaze information can be effectively used as an augmented input in addition to traditional input devices.