This master thesis is done at CrossControl, a company in the automation industry. A literature review was done covering state of the art technology of eye-tracking and gaze control and how it can be used in the automation industry. One purpose with the study was to indentify features important for an eye-tracker in automation applications. Findings suggests that there are no standard methods for measuring the performance of trackers and further that performance in regard to gaze control is limited by physiology of the eye rather than limitations of the devices. The differences between trackers are found in robustness when it comes to differences in people or conditions in the environment. A prototype was made for demonstration. The prototype was built on equipment used in the industry combined with an eye-tracker from Tobii. A library, where coordinates from the eye-tracker were used to indicate what object in the interface was gazed upon, was implemented and used to demonstrate concepts such as buttons outside the screen activated by gaze.

Eye tracking technology has made it possible to accurately and consistently track a users gaze position on a screen. The human eyes center of focus, where it can see the most detailed information, is quite small at a given moment. The peripheral vision of humans have a much lower level of details than the center of gaze. Knowing this, it is possible to display a view that increases the level of resolution at the position of the users gaze point on the screen, while the rest of the screen keeps a lower resolution. An implementation of such a system can generate a representation of data with both detail and overview. The results indicate that even with simple gaze data processing it is possible to use gaze control to help explore details of a high resolution image. Gaze data processing often involve a compromise between stability, responsiveness and latency. A low latency, highly responsive gaze data filter would increase the risk for lens oscillation, and demand a higher concentration level from the viewer then a slower filter would. Applying a gaze data filter that allowed for smooth and stable lens movement for small saccades and responsive movements for large saccades proved successfully. With the uses of gaze control the user might be able to use a gaze aware application more efficient since gaze precedes actions. Gaze control would also reduce the need for hand motions which could provide a improved work environment for people interacting with computer.

The degree project explores the interaction between computers and users who, due to physical impairments are unable to use computer mice and/or keyboards. The users are given alternative means of input,namely eye tracking and speech recognition. The interactions are studied using experiments that are based on the Wizard of Oz-method.The project also includes development of a framework used during the experiments and interfaces that are based on the results of the experiments. It is shown that eye tracking and speech recognition has the potential to allow a user full and efficient usage of a computer, without the need for a computer mouse or keyboard. / Examensarbetet utforskar interaktionen mellan datorer och användare som på grund av någon form av funktionsnedsättning inte kan använda datormöss och/eller tangentbord. Användarna får tillgång till alternativamedel för inmatning, nämligen ögonstyrning och taligenkänning.Interaktionen studeras genom att utföra experiment som är baserade på Wizard of Oz-metoden. Examensarbetet inkluderar även utvecklingenav ett ramverk som används under experimenten samt prototyper på grafiska gränssnitt som baseras på resultaten av experimenten. Det visasatt dessa alternativa medel för inmatning har potentialen att ge en användare full och effektiv användning av en dator, utan behov för en datormus eller ett tangentbord.