Improved Gaze Likelihood based Web Browsing
Sai Anirudh Kondaveeti, Sandeep Vidyapu, Samit Bhattacharya · 2016
Web browsing is the dominant activity among all the online based activities. With more people getting connected to the WWW(World Wide Web), its importance is further enhanced. Web browsing tasks are accomplished using the point-and-click technologies such as mouse and touch based interaction. With the advent of new technologies such as Eye gaze tracking, new paradigm of web interaction is evolving based on gaze view. Earlier works used gaze as medium of interaction to select the discrete UI elements (hyperlinks). But, there is an important need to reduce the time spent on selecting a hyperlink, as increase in time lag may lead to frustration and dissatisfaction of web browsing. In this paper, we propose a method to highlight only the probable hyperlinks than all the hyperlinks in a region of interest. This method helps to reduce the time involved in selecting a hyperlink. Our proposed method is evaluated and compared against the state-of-the-art methods. The results show that, our method reduces the number of activated hyperlinks and time to access a hyperlink.