Supervised Segmentation of Web Pages for Vibro-Tactile Access on Touch-Screen Devices

Waseem Safi (1) , Fabrice Maurel (1) , Jean-Marc Routoure (2) , Pierre Beust (1) , Gaël Dias (1)

1 Equipe Hultech - Laboratoire GREYC - UMR6072
2 Equipe Electronique - Laboratoire GREYC - UMR6072

Perception the visual layout of a web page and analyzing its DOM structure is a fundamental step in automatic adaptation process of web pages. In this paper, we present a new hybrid web page segmentation algorithm dedicated to vibro-tactile access on touch-screen devices. This hybrid algorithm combines three approaches for adapting web page contents to be presented on touch-screen devices, and for testing new navigation paradigm. The proposed algorithm is essential in our framework which aims to enhance the ability of Visually Impaired Persons (VIP) to navigate the Web by converting web pages into vibrating pages using a graphical vibro-tactile language. We present a comparison between automatic segmented pages (obtained by our proposed algorithm) and manual segmented pages. The objectives of this comparison are, on the one hand, to know how users understand web layout structures based on their visual perception , and on the other hand, to explore the main differences between automatic and manual segmentation.

Domaines: Interface homme-machine [cs.HC]; Ordinateur et société [cs.CY]

Waseem Safi, Fabrice Maurel, Jean-Marc Routoure, Pierre Beust, Gaël Dias. Supervised Segmentation of Web Pages for Vibro-Tactile Access on Touch-Screen Devices. International Symposium on Web Algorithms, Jun 2015, Deauville, France. ⟨hal-01171135⟩