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استاذ تكنولوجيا التعليم المساعد بكلية التربية بالزلفي

ملخص بحث3E

Auditory WWW Search Tools
Alex Ferworn Richard Bodner Mark H. Chignell
School of Computer Science Personification Inc. Personification Inc. and
Ryerson Polytechnic University 151 Bloor Street W., Ste 820 Knowledge Media Design Institute
350 Victoria Street Toronto, ON, M5S 1S4 Canada University of Toronto
Toronto, ON, M5B 2K3, Canada +1 416 324-9233 +1 416 324-9233,
+1 416 979-5000 x6968 rick@personification.com mark@personification.com
aferworn@acs.ryerson.ca
ABSTRACT
Early Web applications were overwhelmingly visual. As the Web becomes an essential tool in knowledge work, electronic
commerce, and virtual interaction, there is a need for auditory interfaces to Web applications. Such interfaces are particularly
important for people with visual disabilities and print impairment, and for people who want to listen to information while
their eyes are occupied elsewhere (e.g., in navigating through an environment). In this paper we describe the design and
testing of an innovative auditory search engine. This search engine provides its output in a more aural-friendly format by
using real-time text categorization to organize search results into a voice menu format. Initial results show that the auditory
search engine prototype works well for partially sighted, and sighted users.
Keywords
Accessibility; universal access; auditory interfaces; search engines; visual disabilities.
INTRODUCTION
This paper describes the design and development of an auditory search engine. This work was motivated by a need to provide
a non-visual web-interface for people with visual disabilities and print impairment who wanted to search the World Wide
Web (WWW). Our long-term goal is to describe, design and provide a set of information and knowledge management tools
that open a world of information to the visually impaired and to others who need auditory access to textual information. In
this paper we present work undertaken at Personification Inc. to provide an auditory WWW search engine for the blind. This
work was conducted in partnership with the Adaptive Technology Research Centre at the University of Toronto, and with
Extend Media Inc.
In the first part of the paper we present a brief overview of the technologies commonly available for auditory access of large
information spaces, their benefits and limitations. Following this we provide an overview of how our prototype auditory
search engine works. We then review the results of a user study and discuss plans to extend the prototype into a fully
functioned auditory search engine

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