with eye-tracking data. We extended a standard WIMP operating-system interface into a new interface, IGO, that incorporates intelligent gazeadded input. In a user study, we found that users quickly adapted to the new interface and utilized gaze effectively both alone and with other inputs.

with eye-tracking data. We extended a standard WIMP operating-system interface into a new interface, IGO, that incorporates intelligent gaze-added input. In a user study, we found that users quickly adapted to the new interface and utilized gaze effectively both alone and with other inputs.

provision in a real-world environment. We performed several experiments to evaluate our gazebased object recognition methods. Furthermore, we conducted a user study in the context of Museum Guide 2.0 to evaluate the usability of the new gaze-based interface for information provision. These results show

We investigate a holistic approach to real-time gaze tracking by means of a well-defined neural network modelling strategy combined with robust image processing algorithms. Based on captured greyscale eye images, the system effectively learns the gaze direction of a human user by modelling

In mobile daily life settings, video-based gaze tracking faces challenges associated with changes in lighting conditions and artefacts in the video images caused by head and body movements. These challenges call for the development of new methods that are robust to such influences. In this paper we

families tried various traditional and nontraditional interfaces for controlling lights in the home. Results indicate that speech is the preferred interface for controlling lights. More importantly, the study indicates location awareness and gaze tracking are vital when building a usable intelligent

, yet recognizable, visual representations of long pages. We present an eye-tracking study in which 20 users viewed 361 Web pages while conducting both information foraging and page recognition tasks. We introduce the concept of fixation impact, a new method motivated by findings in vision research

. Regrettably, the performance of these interfaces is traditionally affected by inaccuracies inherited from the eye tracking devices and ineffective EGT to mouse-pointer data conversion mechanisms. This study addresses this problem and proposes a new optimized data conversion mechanism. It analyzes in more

such as aggregating various RSS-enabled feeds, but it also demands a new browsing paradigm. In this paper, we present novel geospatial and temporal browsing techniques that provide users with the capability of aggregating and navigating RSS-enabled content in a timely, personalized and automatic manner. In particular

This paper presents a new disk I/O architecture composed of an array of a flash memory SSD (solid state disk) and a hard disk drive (HDD) that are intelligently coupled by a special algorithm. We call this architecture I-CASH: Intelligently Coupled Array of SSD and HDD. The SSD stores seldom