Göz bakış hareketlerinin kalem-temelli sistemlere entegrasyonu

In typical human-computer interaction, users convey their intentions through traditional input devices (e.g. keyboards, mice, joysticks) coupled with standard graphical user interfaces elements. Recently, pen-based interaction has emerged as a more intuitive alternative to these traditional means. However, existing pen-based systems are limited by the fact that they rely heavily on auxiliary mode switching mechanisms during interaction (e.g. hard or soft modifier keys, buttons, menus). In this thesis, we describe how eye gaze movements that naturally occur during pen-based interaction can be used to reduce dependency on explicit mode selection mechanisms in pen-based systems. In particular, we show that a range of virtual manipulation commands, that would otherwise require auxiliary mode switching elements, can be issued with an 88% success rate with the aid of users' natural eye gaze behavior during pen-only interaction. We believe the non-intrusive and transparent use of gaze modality as a complementary information channel will bring us closer to the goal of truly intuitive pen-based interaction. To this end, we (1) investigate the nature of gaze behavior during various pen-based interaction scenarios, (2) mine for, extract, and create statistical models for useful and usable gaze behavior patterns while users keep their normal habits and ways to interact, (3) use these models to create fully integrated gaze-based intelligent information visualization systems that are able to dynamically adapt to user's spontaneous task-related intentions and goals, and (4) evaluate these systems via a thorough usability study involving 19 participants and 5 different user interface scenarios. Evaluation results demonstrate that we can successfully establish a shared understanding between the user and the adaptive interface based on users' natural eye gaze behavior, and without interrupting the interaction flow.