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2013 | OriginalPaper | Chapter

5. Intelligent Interaction in Accessible Applications

Authors : Sina Bahram, Arpan Chakraborty, Srinath Ravindran, Robert St. Amant

Published in: A Multimodal End-2-End Approach to Accessible Computing

Publisher: Springer London

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Abstract

Advances in artificial intelligence over the past decade, combined with increasingly affordable computing power, have made new approaches to accessibility possible. In this chapter we describe three ongoing projects in the Department of Computer Science at North Carolina State University. CAVIAR, a Computer-vision Assisted Vibrotactile Interface for Accessible Reaching, is a wearable system that aids people with vision impairment (PWVI) in locating, identifying, and acquiring objects within reach; a mobile phone worn on the chest processes video input and guides the user’s hand to objects via a wristband with vibrating actuators. TIKISI (Touch It, Key It, Speak It), running on a tablet, gives PWVI the ability to explore maps and other forms of graphical information. AccessGrade combines crowd-sourcing with machine learning techniques to predict the accessibility of Web pages.

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previous chapter Inclusive User Modeling and Simulation
next chapter Interaction Techniques for Users with Severe Motor-Impairment
Footnotes
7
The ellipses in the overview Lenora hears indicate prosodic cues. The prosody of speech output affords speech interface users a familiar way of indicating importance in a long stream of speech. The ellipses, which represent pauses, are also exactly the locations where a small audio tone or click can be inserted for further enforcement [23]. The silencing command is similar to that in Gravitas [17] to pause the focus at the given node, and then begin exploring from that point.
 
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Metadata
Title
Intelligent Interaction in Accessible Applications
Authors
Sina Bahram
Arpan Chakraborty
Srinath Ravindran
Robert St. Amant
Copyright Year
2013
Publisher
Springer London
Book
A Multimodal End-2-End Approach to Accessible Computing

Print ISBN: 978-1-4471-5081-7

Electronic ISBN: 978-1-4471-5082-4

Copyright Year: 2013

DOI
https://doi.org/10.1007/978-1-4471-5082-4_5