Responsive, adaptive and user personalized rendering on mobile browsers

Abstract

Web browsers in mobile devices typically render a given web page without taking into account the difference in the visual-input requirements for different users and scenarios. It is desirable to have the browsers adapt to the individual users’ visual requirements. In this paper we propose a browser that makes dynamic adjustments to the way the web content is rendered based on the context of usage. The adjustments include font size, color, contrast and web page layout. The system makes these adjustments constantly by monitoring the user’s usage patterns and interactions with the mobile device, and calculating and applying the changes via a feedback mechanism. We mention the method for making corrections to font size, color and contrast, and implement a system to automatically make font size adjustments using an OpenCV library for head tracking and making the required corrections on a web page. Once the parameters for a user have been calibrated and stored, the user can access the feature on multiple devices by transmitting the relevant data via a cloud service. Keywords—responsive design; user experience; vision assistance; web browser; Webkit; learning and feedback; face detection; cloud service; accessibility