東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Accessible Web Automation.

Puzis, Yury.

Linked to FindBook

Google Book

Amazon

博客來

Accessible Web Automation.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Accessible Web Automation./
Author:	Puzis, Yury.
Description:	91 p.
Notes:	Source: Dissertation Abstracts International, Volume: 75-07(E), Section: B.
Contained By:	Dissertation Abstracts International75-07B(E).
Subject:	Computer Science. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3614101
ISBN:	9781303789557

Accessible Web Automation.
Puzis, Yury.

Accessible Web Automation. - 91 p.

Source: Dissertation Abstracts International, Volume: 75-07(E), Section: B.

Thesis (Ph.D.)--State University of New York at Stony Brook, 2013.

The Web is far less usable and accessible for people with visual impairments than it is for sighted people. There are only a handful of screen-reader applications that improve web browsing accessibility by reading aloud the content of web pages. However, accessibility does not imply usability; blind people end up spending minutes on browsing tasks that take sighted people seconds. This lack of productivity using the Web poses a significant barrier for people with visual impairments in education, employment, healthcare, etc.

ISBN: 9781303789557Subjects--Topical Terms:

626642
Computer Science.

Accessible Web Automation.
LDR:03012nam a2200313 4500 001 1963940
005 20141008090558.5
008 150210s2013 ||||||||||||||||| ||eng d
020 $a 9781303789557
035 $a (MiAaPQ)AAI3614101
035 $a AAI3614101
040 $a MiAaPQ $c MiAaPQ
100 1 $a Puzis, Yury. $3 2100289
245 1 0 $a Accessible Web Automation.
300 $a 91 p.
500 $a Source: Dissertation Abstracts International, Volume: 75-07(E), Section: B.
500 $a Advisers: I.V. Ramakrishnan; C.R. Ramakrishnan.
502 $a Thesis (Ph.D.)--State University of New York at Stony Brook, 2013.
520 $a The Web is far less usable and accessible for people with visual impairments than it is for sighted people. There are only a handful of screen-reader applications that improve web browsing accessibility by reading aloud the content of web pages. However, accessibility does not imply usability; blind people end up spending minutes on browsing tasks that take sighted people seconds. This lack of productivity using the Web poses a significant barrier for people with visual impairments in education, employment, healthcare, etc.
520 $a Web automation, a process of automating browsing actions on behalf of the user, has the potential to bridge the divide between the ways visually impaired people and sighted people access the Web. Typical automation interfaces require that the user record or handcraft a macro, a set of instructions for automating a useful sequence of browsing actions, so that these actions can be replayed in the future. In this dissertation, I present a novel approach to Web automation that completely automates those tasks, while simultaneously making the web automation easier to control.
520 $a The first pillar of the presented approach is a novel model-based algorithm that uses the past browsing history and the current web page as the browsing context to predict the most probable browsing actions that the user can do. The model is continuously and incrementally updated as the history evolves, thereby, ensuring the predictions are not "outdated". A unique aspect of the model is that its construction is "unsupervised", i.e. does not require any kind of labeled training data.
520 $a The second pillar is a novel interface that lets the user focus on the objects associated with the most probable predicted browsing steps (e.g., clicking links and filling out forms), and facilitates automatic execution of the selected steps. Several studies blind participants showed that the proposed approach dramatically reduced the interaction time needed to accomplish typical browsing tasks, and the user interface was perceived to be much more usable than the standard screen-reading interfaces.
590 $a School code: 0771.
650 4 $a Computer Science. $3 626642
650 4 $a Web Studies. $3 1026830
690 $a 0984
690 $a 0646
710 2 $a State University of New York at Stony Brook. $b Computer Science. $3 1674709
773 0 $t Dissertation Abstracts International $g 75-07B(E).
790 $a 0771
791 $a Ph.D.
792 $a 2013
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3614101